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	<title>Ugostiteljski kompleks Dunavski ferali - Novi Sad, Srbija &#187; Generative AI</title>
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		<title>Introduction to Generative AI: Navigating the Landscape of LLMs Manning</title>
		<link>http://www.dunavskiferali.com/blog/introduction-to-generative-ai-navigating-the/</link>
		<comments>http://www.dunavskiferali.com/blog/introduction-to-generative-ai-navigating-the/#comments</comments>
		<pubDate>Fri, 04 Aug 2023 17:35:04 +0000</pubDate>
		<dc:creator><![CDATA[adminko]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

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		<description><![CDATA[How Has Generative AI Changed The Business Landscape For Young Entrepreneurs? It enables China&#8217;s financial institutions to rapidly extract key data points from thousands of pages of conference transcripts, contracts, and market reports. Generative AI is able to create visual content like images and videos for consumers. It can also automate image generation using deep [&#8230;]]]></description>
				<content:encoded><![CDATA[<h1>How Has Generative AI Changed The Business Landscape For Young Entrepreneurs?</h1>
<p>It enables China&#8217;s financial institutions to rapidly extract key data points from thousands of pages of conference transcripts, contracts, and market reports. Generative AI is able to create visual content like images and videos for consumers. It can also automate image generation using deep learning algorithms and generative adversarial networks (GANs). This saves time and resources for marketers who would otherwise rely on design teams. AI-generated visuals can also be tailored to match branding guidelines and fit specific digital marketing campaigns. End-to-end applications in the realm of generative AI are comprehensive software solutions that employ generative models to provide specific services to end users.</p>
<ul>
<li>ChatGPT, a groundbreaking AI-powered language model, has played a pivotal role in catapulting GenAI into the spotlight, amassing 100 million users in a mere two months.</li>
<li>It is likely that Gen-AI will have a significant impact on the creative industries in the future.</li>
<li>Second, and most important, generative AI done well is not a replacement for human capital, but a tool to free up individuals, managers, and organizations to focus more of their efforts on high-value creation activities.</li>
<li>But generative AI only hit mainstream headlines in late 2022 with the launch of ChatGPT, a chatbot capable of very human-seeming interactions.</li>
<li>They may be able to build Generative AI-powered solutions, combining open-source software with components provided by cloud computing partners.</li>
</ul>
<p>You can think of this as dissecting ChatGPT into its various anatomical parts and finding potential alternatives for each function with its own unique and targeted capabilities. The resulting text generative and conversational AI Landscape is shown below and consists of ten functional categories with a sampling of representative companies for each <a href="https://www.linkedin.com/in/yakovlivshits">Yakov Livshits</a> category. On the other hand, Replicate is a versatile Model Hub that enables developers to share, discover, and reproduce machine learning projects across various domains. Despite being newer than Hugging Face Hub, it has been growing rapidly, offering several features that make it an excellent choice for sharing and using pre-trained models.</p>
<h2>Music Generation</h2>
<p>For example, it can be used to create custom graphics in a design tool based on user input or generate transitions, effects, or even entire scenes in a video editing tool. Furthermore, generative AI can be utilized in productivity tools to automate tasks, such as generating email responses or creating meeting agendas based on past meeting data. The advantage of using generative AI in desktop apps is that it can handle more complex tasks and larger datasets due to the increased processing power of desktop computers, facilitating more intricate and sophisticated generation tasks.</p>
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" width="309px" alt="the generative ai landscape"/></p>
<p>Compute cost optimization is also essential since generative models, especially large language models, are still expensive to both train and serve for inference. Big players in the industry are working on optimizing compute costs at every level. Since its inception, Ernie has undergone significant improvements and can now execute a diverse array of tasks, such as language comprehension, language generation, and text-to-image generation. ERNIE was designed to enhance language representations by implementing knowledge masking strategies, such as entity-level masking and phrase-level masking.</p>
<h2>Data Center Management: What is it? and How Does it Work?</h2>
<p>Anthropic is a company that focuses on AI research and products that prioritize safety. Their AI assistant, Claude, is designed to assist with various tasks, regardless of their scale. Claude is a next-generation AI assistant that aims to make complex tasks easier and more efficient by integrating natural language processing and other advanced AI technologies. The company emphasizes the need for safety and responsibility in AI development, and their products reflect this philosophy.</p>
<div style='border: grey dashed 1px;padding: 14px;'>
<h3>How To Mitigate Risk In An Artificial Intelligence-Driven Threat &#8230; &#8211; BizTech Magazine</h3>
<p>How To Mitigate Risk In An Artificial Intelligence-Driven Threat &#8230;.</p>
<p>Posted: Thu, 07 Sep 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMibWh0dHBzOi8vYml6dGVjaG1hZ2F6aW5lLmNvbS9hcnRpY2xlLzIwMjMvMDkvaG93LW1pdGlnYXRlLXJpc2stYXJ0aWZpY2lhbC1pbnRlbGxpZ2VuY2UtZHJpdmVuLXRocmVhdC1sYW5kc2NhcGXSAXFodHRwczovL2JpenRlY2htYWdhemluZS5jb20vYXJ0aWNsZS8yMDIzLzA5L2hvdy1taXRpZ2F0ZS1yaXNrLWFydGlmaWNpYWwtaW50ZWxsaWdlbmNlLWRyaXZlbi10aHJlYXQtbGFuZHNjYXBlP2FtcA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>Databricks seems to be on a mission to release a product in just about every box of the MAD landscape. This product expansion has been done almost entirely organically, with a very small number of tuck-in acquisitions along the way – Datajoy and Cortex Labs in 2022. Bankruptcy, an inevitable part of the startup world, will be much more common than in the last few years, as companies  cannot raise their next round or find a home.</p>
<h2>Real-time Content Optimization</h2>
<p><b>Yakov Livshits</b><br />Founder of the DevEducation project<br />A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.</p>
<p></p>
<p>This large TPU configuration allows for efficient scale training without using pipeline parallelism. The Pathways system allows for scaling a model across Google’s thousands of Tensor Processing Unit chips. The company plans to cap the profit of the investors at a fixed multiple of their investment (noted by Sam Altman as currently ranging between 7x and 100x depending on the investment round date and risk). As per the WSJ OpenAI was initially funded by $130m of charity funding (Elon Musk tweeted he contributed $100m) and has since raised at least $13bn led by Microsoft (where OpenAI makes use of Azure cloud credits).</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="309px" alt="the generative ai landscape"/></p>
<p>Companies adopting&nbsp;generative AI apps&nbsp;are&nbsp;raising the standard by improving their operational performance and building advanced products and services. Generative AI is in the early stages of development, with players needing more differentiation and user retention, so it is unclear how these generative AI applications will generate value. But as&nbsp;they advance&nbsp;with technical capabilities, some will successfully emerge and consolidate&nbsp;their&nbsp;AI end products. Companies like BirchAI are automating call centers and managing greater patient inbound calls for tasks like prior authorizations or claim status checks. We&#8217;re interested in seeing applications of technology similar to Gong in this space, helping analyze performance and improve over time. Care navigation apps, like Ada Health and Babylon Health, assist patients in better understanding their health and guide them to the appropriate care providers.</p>
<h2>Google’s Palm Models</h2>
<p>The genius of Microsoft working with OpenAI as an outsourced research arm was that OpenAI, as a startup, could take risks that Microsoft could not. In addition, the big change has been the ability to massively scale those models. Its seminal moment, however, came barely five years ago, with  the publication of the transformer (the “T” in GPT) architecture in 2017, by Google.  AI circles had been buzzing about GPT-3 since its release in June 2020, raving about a quality of text output that was so high that it was difficult to determine whether or not it was written by a human.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="305px" alt="the generative ai landscape"/></p>
<p>These models have the ability to create new content, such as images, text, music, videos, and more, without direct human intervention, making them particularly valuable for creative tasks and problem-solving in various domains. Generative AI is a form of artificial intelligence that relies on natural <a href="https://www.wikidata.org/wiki/Q4261115">Yakov Livshits</a> language processing, massive training datasets, and advanced AI technologies like neural networks and deep learning to generate original content. The application layer in generative AI streamlines human interaction with artificial intelligence by allowing the dynamic creation of content.</p>
<p>A non-language example is OpenAI’s DALL-E 2, a vision model that recognizes and generates images. For example, Gen-AI can be used to create new content, such as music or images, which can be used for a variety of purposes such as providing the creatives with more flexibility and imagination. It can also be used to improve machine learning algorithms by generating new training data. Overall, the impact of Gen-AI is sure to be significant, as it has the potential to enable the creation of new and useful content and to improve the performance of machine learning systems. The combination of models, data, and computing has provided an incredible set of tools for working with images.</p>
<p>Major players like OpenAI and Google provide these models that can efficiently perform &#8220;few-shot learning&#8221; using minimal data points. The process often entails obtaining stakeholder approval, meeting rigorous data security standards, and demonstrating a return on investment (ROI) through smaller pilot programs. Consequently, the initial effort or &#8220;activation energy&#8221; required is quite high for health systems.</p>
<p>The recent introduction of ChatGPT thrust generative AI into the limelight, raising public awareness of its potential for business, productivity and art. Teachers can utilize one of the numerous free AI content plagiarism checkers that have recently been developed to counteract students’ inclination to rely on ChatGPT and related programs to perform their assignments. Though not perfect, these methods may successfully assess what percentage of information has been intentionally created. Users may expect these plagiarism-detecting programs to change as educational issues increase. Generative AI tools are already supplementing certain types of work and, in the future, may come to replace certain kinds of work.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>Scale Support with AI Customer Service Chatbots Salesforce UK: We Bring Companies and Customers Together</title>
		<link>http://www.dunavskiferali.com/blog/scale-support-with-ai-customer-service-chatbots/</link>
		<comments>http://www.dunavskiferali.com/blog/scale-support-with-ai-customer-service-chatbots/#comments</comments>
		<pubDate>Tue, 25 Jul 2023 07:21:31 +0000</pubDate>
		<dc:creator><![CDATA[adminko]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.dunavskiferali.com/?p=521</guid>
		<description><![CDATA[Top 5 Insurance Chatbot Examples: Most Valuable Use Cases As already established, Insurance is a boring and complex topic that becomes hard to understand. Using an AI virtual assistant, the insurer can educate the customers by uploading documents with necessary information on products, policies and frequently asked questions (FAQs). Since AI Chatbots use natural language [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>
<h1>Top 5 Insurance Chatbot Examples: Most Valuable Use Cases</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="chatbots for insurance agents"/></p>
<p>
<p>As already established, Insurance is a boring and complex topic that becomes hard to understand. Using an AI virtual assistant, the insurer can educate the customers by uploading documents with necessary information on products, policies and frequently asked questions (FAQs). Since AI Chatbots use natural language processing (NLP) to understand customers and hold proper conversations, they can register customer <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> queries and give effective solutions in a personalised and seamless manner. For questions that are too complex and require human assistance, the chatbot can always suggest the option to connect with a live agent for better service. Chatbots are available 24/7 and allow companies to upload relevant documents and FAQ questions that are used to answer customer questions and engage them in real-time conversations.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="308px" alt="chatbots for insurance agents"/></p>
<p>
<p>Additionally, a chatbot can automatically  send a survey via email or within the chat box after the conversation has concluded. This can help insurance enterprises make better underwriting decisions. Chatbots reduce client frustration by providing an easy and quick manner of getting things done. Clients are more likely to pay their bills on time if they communicate with a chatbot. When a new customer signs a policy at a broker, that broker needs to ensure that the insurer immediately (or on the next day) starts the coverage.</p>
</p>
<p>
<h2>Process Claims</h2>
</p>
<p>
<p>For instance, based on their financial condition, executives must provide them with the most  probable insurance schemes that can help them secure their lives. The series of documents that you have <a href="https://www.metadialog.com/blog/insurance-chatbots/">chatbots for insurance agents</a> to submit will defer from policy to policy. What is surprising is how poor of a job companies do in answering them. Guide customers to appropriate policies using a WhatsApp insurance chatbot.</p>
</p>
<p>
<p>The necessity for physical and eligibility verification varies depending on the type of insurance and the insured property or entity. A chatbot can assist in this process by asking the policyholder to provide pictures or videos of any damage (such as from a car accident). The bot can either send the information to a human agent for inspection or utilize AI/ML image recognition technology to assess the damage. Next, the chatbot will determine responsibilities based on the situation. Insurance companies looking to streamline processes and improve customer interactions are adopting chatbots now more than ever.</p>
</p>
<p>
<h2>Why “now” for the Chatbot?</h2>
</p>
<p>
<p>Similarly, Insurance companies can reduce their support ticket volumes and improve CSAT/NPS. This can be done by keeping customers updated about the status of their policy through insurance chatbot. Claims processing is one of the most important functions of the insurance company. <a href="https://www.metadialog.com/blog/insurance-chatbots/">chatbots for insurance agents</a> The speed and convenience of this process have a long bearing on the reputation of the insurance company. Making the claims via website widget or chatbot in messenger provides quick responses without any delays, meanwhile, information is stored in standardized document types.</p></p>
]]></content:encoded>
			<wfw:commentRss>http://www.dunavskiferali.com/blog/scale-support-with-ai-customer-service-chatbots/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>AI Chatbots: Transforming Industries and Revolutionizing Customer Experience</title>
		<link>http://www.dunavskiferali.com/blog/ai-chatbots-transforming-industries-and/</link>
		<comments>http://www.dunavskiferali.com/blog/ai-chatbots-transforming-industries-and/#comments</comments>
		<pubDate>Mon, 17 Jul 2023 15:23:53 +0000</pubDate>
		<dc:creator><![CDATA[adminko]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.dunavskiferali.com/?p=527</guid>
		<description><![CDATA[Artificial Intelligence in Tourism WAM With the typical cost of implementing a chatbot between €15,000- €50,000, Sloane suggests they are value for money in the industry. “These aren’t a significant investment for an airline when they’re spending hundreds of thousands, if not millions, a year on other digital experience products,” he said. Perhaps demonstrating how [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>
<h1>Artificial Intelligence in Tourism WAM</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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width="302px" alt="travel chatbots"/></p>
<p>
<p>With the typical cost of implementing a chatbot between €15,000- €50,000, Sloane suggests they are value for money in the industry. “These aren’t a significant investment for an airline when they’re spending hundreds of thousands, if not millions, a year on other digital experience products,” he said. Perhaps demonstrating how good chatbots have become at mimicking a human conversation, a third of Brits (33%) say they aren’t even sure if they have had a conversation with one in the past year. But there is still a long way to go for the technology to become mainstream, with the majority of UK adults (57%) having never heard of chatbots. An additional 31% have heard of chatbots, but don’t know what they are, whilst just 12% know exactly what they are. Tech savvy generation, Millennials&nbsp;specifically favor food bots that save their time making express food order, table reservations, and cooking advice.</p>
</p>
<p>
<p>Younger travellers are more conscious than ever about digital advertising and are accustomed to seeing display and social media ads featuring content they’ve recently browsed on online. Analysing images, videos viewed and even social media behaviour in addition to pages visited on their websites, could help travel companies leverage themselves against competitors by understanding their customers better. Korean Air is currently exploring technologies which could see chatbots adopt a more persuasive and integrated role in our lives when travelling in the future. Chatbots are already widely used on various platforms in many industries and the travel sector is by no means a novice to these solutions. As the development of AI and how it handles customer data continues, we’re now seeing more innovative ways in which travel companies build relationships with their customers. Elsewhere in the travel industry, Expedia, again taking advantage of Facebook’s technology, launched a basic bot to help travelers book hotels.</p>
</p>
<p>
<h2>The AI product for the Travel industry</h2>
</p>
<p>
<p>To share the journey to market-based sanitation, representatives of the Ethiopian Ministry of Health and the USAID Transform WASH team took to the stage at the UN Water Conference in 2023. Clients who received counseling with the digital Smart Start tool reported a higher understanding of their options and were more likely to choose contraception (74 percent) compared to those counseled with the manual version of Smart Start (64 percent). Navigators also found the digital tool more effective in connecting with clients, leading to higher ratings for the quality of their counseling. Sara now has the information and tools to make the best choice based on her own needs. Together with partners, we’re working toward a vision where Sara’s journey through the health system is digitally enabled.</p>
</p>
<p>
<p>Read more about our commitments to the three core principles of respect, justice and Do No Harm in the&nbsp;Commitment to Ethics in Youth-Powered Design. And read more about how we are bringing our words to action in our ICPD+25 commitment,&nbsp;Elevating Youth Voices, Building Youth Skills&nbsp;for Health Design. With overarching commitments to flexibility in our work, and greater wellbeing for our employees, we want to ensure PSI is positioned for success with a global and holistic view of talent. Under our new “work from (almost) anywhere,” or “WFAA” philosophy, we are making the necessary investments to be an employer of record in more than half of U.S. states, and consider the U.S. as one single labor market for salary purposes. Globally, we recognize the need to compete for talent everywhere; we maintain a talent center in Nairobi and a mini-hub in Abidjan. PSI also already works with our Dutch-based European partner, PSI Europe, and we’re creating a virtual talent center in the UK.</p>
</p>
<p>
<h2>Why are chatbots the popular option for brands?</h2>
</p>
<p>
<p>Furthermore, the amount of time spent in these kind of apps is rising faster than any other. One approach that is already finding success is artificially intelligent bots that can help customers in a myriad of ways. These chatbots can create new booking channels, provide communication with hard-to-reach consumers, help customer care teams and answer a host of queries.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="309px" alt="travel chatbots"/></p>
<p>
<p>We provide pre-built and customizable integrations, and our Habot platform is specifically designed to seamlessly integrate with a wide range of software used across various industries. Algorithms that have the ability to understand the context of online activity would be at an advantage when targeting travel customers with relevant ads. With this comes more competition and with the Chatbot market value expected to reach over $100 billion by 2026, there’s even more reason to invest in digital service tools. TravAI will identify the scope of the chatbot and identify the source of the data. All ML are trained on in-house data which are not shared or used externally.</p>
</p>
<p>
<h2>Business Travel Association to launch election manifesto</h2>
</p>
<p>
<p>Habot is a versatile Chatbot solution designed to cater to diverse industries. With its adaptable nature, it offers customized and industry-specific solutions that address the unique needs of various sectors to enhance customer interactions, streamline processes, and boost efficiency. By leveraging its advanced capabilities, Habot empowers businesses across different sectors to deliver exceptional customer service, automate tasks, and drive growth in their respective industries. The chatbot, called Sonya, has been developed to chat online with Travel South Yorkshire customers, providing quick, accurate responses to questions about travel pass applications. Sonya will be available to answer questions round the clock and will continue to learn with every question it is asked, improving the range of answers it can provide over time. It is expected that chatbots and instant messaging services will become more prominent within the travel industry over the next half decade.</p>
</p>
<p><a href="https://www.metadialog.com/"><br />
<figure><img 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alt='https://www.metadialog.com/' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto;' width='403px'/></figure>
<p></a></p>
<p>
<p>In July 2020, PSI Angola, alongside the Angolan digital innovation company Appy People, launched Kassai, an eLearning platform that targets public sector health workers in Angola. A partnership with UNITEL, the largest telecommunication provider in Angola, provides all public health providers in Angola free internet access to use Kassai. Babylon’s AI symptom checker and PSI’s health provider locator tool captures real-time, quality data that supports health systems to plan, monitor and respond to consumer and provider needs. But for this data to be effective and useable, it needs to be available across the health system. PSI already has several other consumer health FHIR implementations under active development in 2023, including PSI’s collaboration with the Kenya MOH to launch a FHIR-enabled WhatsApp national health line for COVID-19 health information.</p>
</p>
<p>
<h2>Our Chatbot Service</h2>
</p>
<p>
<p>Kassai analytics are integrated with DHIS2 – the Health Management Information System (HMIS) of Angolan MOH, to be able to link learners’ knowledge and performance with the health outcomes in the health facilities. The analytics track learners’ performance by course and gives visibility by health provider, health facility, municipality, and province. Each course has pre-and post-evaluation tests to track progress of learning, too. Coaches are men who <a href="https://www.metadialog.com/blog/chatbot-for-travel-industry-everything-you-need-to-know/">travel chatbots</a> are not just stable on treatment but also living proudly and openly with HIV. This research played a pivotal role in informing the normative guidelines of the World Health Organization (WHO) and shaping policies at the country level. As a result, more than 108 countries globally now have reported HIVST policies, with an increasing number of countries implementing and scaling up HIVST to complement and &nbsp;partially replace conventional testing services.</p>
</p>
<p>
<p>It is often said that chatbots are the way of the future and Amadeus has demonstrated its commitment to embracing technology in travel this month. Travel brands must find a suitable use for chatbots before they  decide to invest in them, concludes a new report looking at the technology. Conversing with robots, as we’ll increasingly <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> do with airport chatbots, is not the only interaction we’ll see at terminals; robots of the more physical variety have been undergoing early stage trials in this space too. The invention of Sita Labs, Kate is an intelligent check-in robotic kiosk that autonomously moves to busy or congested areas of the terminal as needed.</p>
</p>
<p>
<h2>WHAT BOTS DO ACROSS INDUSTRIES</h2>
</p>
<p>
<p>Armed with the goal of using “IMEX as a test bed for piloting new ideas under controlled and managed conditions and in a real-life environment,” IMEXlabs partnered with messaging platform Scen.sio to develop Frank. In rural Ethiopia, women and girls often face significant barriers in accessing healthcare facilities, which can be located hours away. Moreover, there is a prevailing stigma surrounding the use of contraception, with concerns about potential infertility or the perception of promiscuity. Smart Start takes a community-based approach, utilizing a network of dedicated Navigators who engage with women in their localities.</p>
</p>
<p>
<ul>
<li>That’s why customers consider Click4Assistance the best live chat provider in the UK.</li>
<li>It is expected that chatbots and instant messaging services will become more prominent within the travel industry over the next half decade.</li>
<li>The U.S. President’s Malaria Initiative (PMI) Impact Malaria project, funded by USAID and led by PSI, supports the Ministry with CHW training and supervision to localize health services.</li>
<li>Optimize your website traffic by leveraging AI sales chatbots that are tailored to enhance your revenue by 10-25%.</li>
<li>The chatbot can more precisely interpret user inquiries with the use of natural language processing, leading to more efficient replies.</li>
</ul>
<p>
<p>Chatbots can also be useful for lead generation and gathering customer data. In fact, here at Equator we’re driving results for our clients by developing the technology to do just that. Learn how businesses are transforming their social messaging channels into powerful marketing tools.</p>
</p>
<p>
<p>Data from Google Trends shows over the last five years, search volume around “chatbots for&nbsp;travel” grew 19x as individuals and businesses began to realize their value. A&nbsp;chatbot&nbsp;is a service powered by policies and artificial intelligence that your visitors can interact with on your site via a chat interface. <a href="https://www.metadialog.com/blog/chatbot-for-travel-industry-everything-you-need-to-know/">travel chatbots</a> They are used to provide your visitors with a better experience and to help you increase your website conversions. Recent polls show&nbsp;that 60% of patients are willing to communicate with care givers electronically. Chatbot technology is a user-friendly tool for digital healthcare experience.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="travel chatbots"/></p>
<p>
<p>This could involve recognising tone, sentiment, and context to tailor responses that resonate better with users. In the meantime, it’s down to humans to ensure that that programmed responses are as natural as possible. AI chatbots have proliferated over the past several years across a variety of sectors, transforming how companies communicate with their consumers. These sophisticated virtual assistants are made to mimic human communication and offer consumers immediate assistance and knowledge. We will examine actual use cases and success stories of  AI chatbots in various sectors in this section.</p>
</p>
<p>
<p>Currently, most mistakes with hotel chatbots are not due to the AI failing but with how it’s been set up. You can prevent most mistakes from happening with well thought out answers. The human can then read the previous messages for context on the problem so users don’t have to repeat themselves. So that’s our pick of the best travel chatbots so far and we’re looking forward to what’s ahead for the rest of 2017. All the bots on this list happen to be running on Facebook Messenger and you can see how much the complexity varies among them. Facebook is already one of the strongest marketing channels for travel brands but chatbots are turning it into a mobile travel agent where people click to book.</p>
</p>
<p>
<div style='border: black dashed 1px;padding: 10px;'>
<h3>Global Bot Services Market Size to Reach USD 16.43 Billion in 2030 &#8211; Martechcube</h3>
<p>Global Bot Services Market Size to Reach USD 16.43 Billion in 2030.</p>
<p>Posted: Tue, 12 Sep 2023 16:30:34 GMT [<a href='https://news.google.com/rss/articles/CBMiX2h0dHBzOi8vd3d3Lm1hcnRlY2hjdWJlLmNvbS9nbG9iYWwtYm90LXNlcnZpY2VzLW1hcmtldC1zaXplLXRvLXJlYWNoLXVzZC0xNi00My1iaWxsaW9uLWluLTIwMzAv0gFjaHR0cHM6Ly93d3cubWFydGVjaGN1YmUuY29tL2dsb2JhbC1ib3Qtc2VydmljZXMtbWFya2V0LXNpemUtdG8tcmVhY2gtdXNkLTE2LTQzLWJpbGxpb24taW4tMjAzMC9hbXAv?oc=5' rel="nofollow">source</a>]</p>
</div>
]]></content:encoded>
			<wfw:commentRss>http://www.dunavskiferali.com/blog/ai-chatbots-transforming-industries-and/feed/</wfw:commentRss>
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		<title>Exploring the impact of language models on cognitive automation with David Autor, ChatGPT, and Claude</title>
		<link>http://www.dunavskiferali.com/blog/exploring-the-impact-of-language-models-on/</link>
		<comments>http://www.dunavskiferali.com/blog/exploring-the-impact-of-language-models-on/#comments</comments>
		<pubDate>Fri, 21 Apr 2023 07:49:51 +0000</pubDate>
		<dc:creator><![CDATA[adminko]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.dunavskiferali.com/?p=489</guid>
		<description><![CDATA[Where digitally native businesses afford humanity the time to be inspired. Automated systems can work well if the decisions are made according to a &#8220;if/then&#8221; logic metadialog.com without requiring any human judgment in between. However, this rigidity prevents RPAs from processing forward unstructured material and retrieving meaning. Cognitive automation is a cutting-edge technology that combines [&#8230;]]]></description>
				<content:encoded><![CDATA[<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/2022/06/logo.webp" width="306px" alt="cognitive automation examples"/></p>
<p>
<p>Where digitally native businesses afford humanity the time to be inspired. Automated systems can work well if the decisions are made according to a &#8220;if/then&#8221; logic <a href="https://metadialog.com/">metadialog.com</a> without requiring any human judgment in between. However, this rigidity prevents RPAs from processing forward unstructured material and retrieving meaning.</p>
</p>
<p>
<ul>
<li>Cognitive automation is a cutting-edge technology that combines artificial intelligence (AI), machine learning, and robotic process automation (RPA) to streamline business operations and reduce costs.</li>
<li>As a result, humans are often used to hand-key or manually review information.</li>
<li>Most notably, the once-predictable global supply chain has experienced unprecedented shortages and delays.</li>
<li>You immediately see the value of using an automation tool after general processes and workflows have been automated.</li>
<li>A cognitive skill injected into a document process could include digitizing the text in a document and interpreting the objects contained in the document.</li>
<li>The team developed a custom skill that prioritized orders and recommended corrective action to ensure on-time delivery or communication to customers.</li>
</ul>
<p>
<p>In cognitive automation, ML is used to analyze large data sets and extract insights. Cognitive automation systems utilize natural language processing and other AI technologies to interpret data and generate insights. This can be used to drive decision making, identify correlations and trends, and develop predictive models.</p>
</p>
<p>
<h2>AI in Insurance: Business Process Automation Brings Digital Insurer Performance to a New Level</h2>
</p>
<p>
<p>The automation of processes can also improve the accuracy of data and insights, enabling businesses to make more informed decisions. Financial institutions can reduce the manual work involved in KYC processes using intelligent automation. Intelligent bots can extract data from customer documents, validate the information, identify risk areas, and send the cases to relevant staff in which human decision-making is necessary.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/2022/06/logo.webp" width="307px" alt="cognitive automation examples"/></p>
<p>
<p>Besides conventional yet effective approaches to use case identification, some cognitive automation opportunities can be explored in novel ways. Currently there is some confusion about what RPA is and how it differs from cognitive automation. In the telecom sector, where the userbase is in millions, manual tasks can be more than overwhelming. Postnord’s challenges were addressed and alleviated by Digitate’s ignio AIOps Cognitive automation solution. It ensures that their systems are always up and running for smooth operations.</p>
</p>
<p>
<h2>Industry work</h2>
</p>
<p>
<p>For example, a neural network trained to recognize cancer on an MRI scan may achieve a higher success rate than a human <a href="https://www.metadialog.com/blog/cognitive-automation-definition/">doctor. This</a> system is certainly a cognitive system but is not artificially intelligent. For example, a cognitive intelligence system can use AI capabilities like OCR to read documents by capturing text from documents and using natural language processing to understand the users, like biodata, invoice items, and terms. The system further organizes them into appropriate fields in a procurement and payment workflow.</p>
</p>
<p>
<ul>
<li>While wage labor may decline in importance, caring for others, civic engagement, and artistic creation could grow in value.</li>
<li>Cognitive intelligence can handle tasks the way a human will by analyzing situations the way a human would.</li>
<li>RPA resembles human tasks which are performed by it in a looping manner with more accuracy and precision.</li>
<li>This of course raises the question, “Who will care for these people”, and the answer is unfolding before our eyes right now.</li>
<li>You can also imagine that any errors are disruptive to the entire process and would require a human for exception handling.</li>
<li>Recognizing written characters requires machines to “read” each symbol and learn how to understand them in combination.</li>
</ul>
<p>
<p>Cognitive automation is a deep-processing and integration of complex documents and data that requires explicit training by a subject matter expert. Additionally, both technologies help serve as a growth-stimulating, deflationary force, powering new business models, and accelerating productivity and innovation, while reducing costs. Cognitive automation is responsible for monitoring users’ daily workflows. It identifies processes that would be perfect candidates for automation then deploys the automation on its own, Saxena explained.</p>
</p>
<p>
<h2>AI-Driven Industries</h2>
</p>
<p>
<p>Whether it be RPA or cognitive automation, several experts reassure that every industry stands to gain from automation. According to Saxena, the goal is to automate tedious manual tasks, increase productivity, and free employees to focus on more meaningful, strategic work. “RPA and cognitive automation help organizations across industries to drive agility, reduce complexity everywhere, and accelerate value of technology investments across their business,” he added. However, if the same process needs to be taken to logical conclusion (i.e. restoring the DB and ensuring continued business operations) and the workflow is not necessarily straight-forward, the automation tool-set needs to be expanded heavily. In most scenarios, organizations can only generate meaningful savings if the last mile of such processes can be handled .</p>
</p>
<p>
<div style='border: grey dotted 1px;padding: 13px;'>
<h3>ChatGPT: how to get the most out of your prompt? &#8211; Hospitality Net</h3>
<p>ChatGPT: how to get the most out of your prompt?.</p>
<p>Posted: Wed, 17 May 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiN2h0dHBzOi8vd3d3Lmhvc3BpdGFsaXR5bmV0Lm9yZy92aWV3cG9pbnQvMTI1MDAwMTkxLmh0bWzSAQA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>It is designed to automate manual and repetitive tasks, so that you can free up your employees to focus on more value-added activities. RPA exists to perform mundane or manual tasks more reliably, quickly and repeatedly compared to their human counterparts. It is a proven technology used across various industries – be it finance, retail, manufacturing, insurance, telecom, and beyond. Many organizations have also successfully automated their KYC processes with RPA. KYC compliance requires organizations to inspect vast amounts of documents that verify customers’ identities and check the legitimacy of their financial operations. RPA bots can successfully retrieve information from disparate sources for further human-led KYC analysis.</p>
</p>
<p>
<h2>XS Decision Intelligence</h2>
</p>
<p>
<p>Cem&#8217;s work has been cited by leading global publications including  Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple. Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur.</p>
</p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>What is a cognitive automation?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<p>Cognitive automation: AI techniques applied to automate specific business processes. Unlike other types of AI, such as machine learning, or deep learning, cognitive automation solutions imitate the way humans think.</p>
</div></div>
</div>
<p>
<p>The NLP-based software was used to interpret practitioner referrals and data from electronic medical records to identify the urgency status of a particular patient. In this case, bots are used at the beginning and the end of the process. First, a bot pulls data from medical records for the NLP model to analyze it, and then, based on the level  of urgency, another bot places the patient in the appointment booking system.</p>
</p>
<p>
<h2>What’s the Scope of Application for RPA and Cognitive Automation?</h2>
</p>
<p>
<p>Today’s customers interact with your organization across a range of touch points and channels – chat, interactive IVR, apps, messaging, and more. When you integrate RPA with these channels, you can enable customers to do more without needing the help of a live human representative. A cognitive automation solution is a step in the right direction in the world of automation. &#8220;One of the biggest challenges for organizations that have embarked on automation initiatives and want to expand their automation and digitalization footprint is knowing what their processes are,&#8221; Kohli said.</p>
</p>
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" width="309px" alt="cognitive automation examples"/></p>
<p>
<p>Then, the bot can automatically classify claims, issue payments, or route them to a human employee for further analysis. This way, agents can dedicate their time to higher-value activities, with processing times dramatically decreased and customer experience enhanced. For example, one of the essentials of claims processing is first notice of loss (FNOL). When it comes to FNOL, there is a high variability in data formats and a high rate of exceptions.</p>
</p>
<p>
<h2>Cognitive Automation: How to Use it with RPA</h2>
</p>
<p>
<p>The same is true with Robotic Process Automation (also referred to as RPA). The phrase conjures up images of shiny metal robots carrying out complex tasks. Especially if you’re not intimately familiar with the tech industry and its automated contributors, Robotic Process Automation probably sounds impressive.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="cognitive automation examples"/></p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>Is cognitive and AI same?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<p>In short, the purpose of AI is to think on its own and make decisions independently, whereas the purpose of Cognitive Computing is to simulate and assist human thinking and decision-making.</p>
</div></div>
</div>
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]]></content:encoded>
			<wfw:commentRss>http://www.dunavskiferali.com/blog/exploring-the-impact-of-language-models-on/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Banking AI Chatbots Benefits, Use Cases &amp; ROI</title>
		<link>http://www.dunavskiferali.com/blog/banking-ai-chatbots-benefits-use-cases-roi/</link>
		<comments>http://www.dunavskiferali.com/blog/banking-ai-chatbots-benefits-use-cases-roi/#comments</comments>
		<pubDate>Tue, 28 Mar 2023 07:35:42 +0000</pubDate>
		<dc:creator><![CDATA[adminko]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.dunavskiferali.com/?p=453</guid>
		<description><![CDATA[Today, a wide range of banking workflows are being handled by combining process automation tools with NL, handwriting recognition, and other AI-based technologies, for use in the back-office. Compared to any human or legacy system, AI-based systems can detect fraud at a much faster rate. According to McAfee, a cybersecurity firm, frauds in the financial [&#8230;]]]></description>
				<content:encoded><![CDATA[<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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" width="308px" alt="banking ai chatbot"/></p>
<p>
<p>Today, a wide range of banking workflows are being handled by combining process automation tools with NL, handwriting recognition, and other AI-based technologies, for use in the back-office. Compared to any human or legacy system, AI-based systems can detect fraud at a much faster rate. According to McAfee, a cybersecurity firm, frauds in the financial sector costs the global economy $600 billion each year&nbsp;and a large percentage of these frauds occurs online. AI-processed behavioral data is already being used by some banks to make personalized recommendations to customers.</p>
</p>
<p><a href="https://metadialog.com/"><img 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alt='https://metadialog.com/' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto; width='406px'/></a></p>
<p>
<p>Now Citi users can connect with friends and their funds in&nbsp;a&nbsp;simple and easy&nbsp;way. A&nbsp;chatbot helps  guide the <a href="https://www.metadialog.com/banking/">customer to&nbsp;the most</a> appropriate service for them. They receive a&nbsp;custom banking experience based on&nbsp;their relevant needs without having to&nbsp;journey through irrelevant web pages of&nbsp;confusing information. With a&nbsp;chatbot, all of&nbsp;these pain points can be&nbsp;transformed into opportunities.</p>
</p>
<p>
<h2>[Infographic] Is Your Bank Website ADA Compliant? If Not, Get Ready for Lawsuit!</h2>
</p>
<p>
<p>The AI bot is available via a mobile application and it is programmed to support customers in their daily banking services. The most used functions of Erica include transfers between the customer’s accounts, transaction processing, bill payment, or even blocking a customer’s credit card if necessary. Before we proceed further, let’s find out how Chatbot can help the banking sector by improving the customer experience. As the expectations in the banking and finance industry have continuously evolved over the years, banks must keep the focus on areas that enable automation to serve multiple requests simultaneously.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/2022/12/cognitive-automation-definition-2.webp" width="304px" alt="banking ai chatbot"/></p>
<p>
<p>For example, in the sentence &#8220;My father hates me,&#8221; Eliza reacted to the keyword &#8220;father&#8221; and asked, &#8220;Who else in the family hates you?&#8221; But the robot-psychotherapist did not understand the essence of the questions. Modern chatbots also work keywords, linear scripts, and parodies of live dialogue. Advanced chatbots were able to highlight keywords and mimic human dialogue back in the ‘60s. Hippies took LSD, The Beatles sold-out stadiums, and Joseph Weizenbaum created Eliza, a psychotherapist who came before many modern bots and even psychologists.</p>
</p>
<p>
<h2>► Chatbot to save money</h2>
</p>
<p>
<p>You can use this financial bot to deliver on-demand customer service that meets your clients’ needs. Kasisto uses deep conversational AI and financial expertise to analyze account activity and generate insights to provide recommendations and resolve common service requests. It also offers a multichannel experience and proactively delivers insights you can use for future improvements. ” With natural language processing, customers are treated with the warmth they get from human agents.</p>
</p>
<p>
<ul>
<li>Users are increasingly looking to manage their money quickly, easily, and efficiently on a daily basis, and it is important for banks to meet these expectations.</li>
<li>Tailored banking service is no longer an option but a need as most consumers are tech-savvy and expect a superior customer journey that does not require long waiting.</li>
<li>This study is focused on the uses, potential benefits and threats of AI especially in the financial sectors.</li>
<li>Instead of entering keywords in a search engine, we simply say out aloud to a machine what we’re looking for and it finds the document we need.</li>
<li>Customers can benefit from receiving personalized assistance on the channel and language of their choice, but so too can employees.</li>
<li>To meet these rising customer demands, banks should integrate the use of these popular end-to-end encrypted instant messaging apps (WhatsApp, Facebook Messenger and WeChat) for ultimate convenience.</li>
</ul>
<p>
<p>Research also suggests that chatbots will handle between 75-90% of customer queries by 2022 and create an $8 billion per year reduction in business costs. Ultimate is a virtual agent platform that helps businesses worldwide scale their customer service with the use of AI. It can help you automate time-consuming queries and improve self-service for your clients to reduce the response time to each of the clients’ queries. This finance chatbot was designed to not be overwhelming and to only give relevant information about your services to the customers. It also offers over 1,000 different chatbot templates that you can choose from.</p>
</p>
<p>
<h2>Handle Customer Service Complaints</h2>
</p>
<p>
<p>Unblu&#8217;s Conversational Platform for Financial Services empowers financial institutions to increase online conversions, deliver better customer experience and build successful business relationships. When a customer runs into difficulty with a mobile banking transaction, sitting on the end of a phone line becomes quickly frustrating. Even more traditional self-service options like scrolling through FAQ pages is time-consuming. Given this diversity of customer needs, banks must offer a digital experience with multiple channels of communication.</p>
</p>
<p>
<ul>
<li>Moreover, they track user behavior and offer personalized suggestions based on it, providing maximum comfort to clients.</li>
<li>XAC messenger bot helps the bank engage customers at a large scale and answer all their banking-related queries throughout the day.</li>
<li>Collect.chat is focused on collecting data through personalized chats and increasing conversions.</li>
<li>The ability to use banking services anytime, anywhere is no longer a privilege of the elite but a growing need of the masses.</li>
<li>Banking Chatbots can further engage unhappy clients with feedback forms that are unobtrusive and easy to respond to.</li>
<li>Given this diversity of customer needs, banks must offer a digital experience with multiple channels of communication.</li>
</ul>
<p>
<p>Her aim is to provide knowledge to users by sharing the knowledge about the latest trends about contact centers. TitleMax, one of the largest title lending companies in the U.S., was besieged with ever-increasing HR process-related queries. Eleviant Tech vChat AI-powered Chatbots eased the workflow and allowed them to sort through the HR team’s queries efficiently. The Bluefish chatbot speeds up the process of settlement claims drastically. The bot can collect information from the claimant, assess the claim’s validity, and process the payment, all in just a matter of a few seconds.</p>
</p>
<p>
<h2>Improve Risk Management</h2>
</p>
<p>
<p>Implementing RPA may also significantly accelerate the general documentation flow, account closure requests and report automation processes. By 2022, banks and other financial institutions can automate around 90 percent of client relations using conversational AI bots and so save more than $8 billion per year. One of the greatest benefits of chatbots is their around-the-clock availability. 90% of consumers believe an immediate response to customer <a href="https://metadialog.com/">metadialog.com</a> support issues is “important” or “very important”, but traditional banking support isn’t available 24/7 due to prohibitively high costs. With a chatbot handling most requests without human intervention, banks can now cost-effectively extend service availability 24/7. Cabrillo Credit Union realized this benefit when introducing Comm100 AI Chatbot, enabling them to offer round-the-clock support and improve credit union member engagement.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/feed_images/introducing-chat-gpt-4-the-new-era-of-conversational-ai-img-4-510x300.webp" width="304px" alt="banking ai chatbot"/></p>
<p>
<p>The advancement in technology has served almost every industry in an unmatched and flawless manner. Their behavior and ability to build a firm command over analytics and consumer behavior not only make them stand ahead in the competition but also your organisation. In fact, according to an Economic Intelligence Unit survey, 77% of bankers believe that the success  or failure of a bank will be attributed to their ability to tap into the powers of AI, and it’s not hard to see why.</p>
</p>
<p>
<h2>Bot and banking: types of chatbots in the financial industry</h2>
</p>
<p>
<p>In this section, we’ll dig into the benefits behind AI chatbots to see why they’re growing in popularity among both customers and financial institutions alike. Chatbots are evolving beyond simple customer support tools to becoming intelligent digital &#8230; Imagine linking your home assistants like&nbsp;Alexa, Google Home, etc. with your bank accounts to manage or conduct transactions just through your voice commands!</p>
</p>
<p>
<ul>
<li>We work closely with our clients, always testing, improving the bot flow, the conversational knowledge base, the bots personality and the overall user experience.</li>
<li>Within the second level of processing, the extracted text is employed as a basis for performing language Understanding on the generated text to decode the semantic meaning of the user input and recognize morphemes.</li>
<li>With a chatbot handling most requests without human intervention, banks can now cost-effectively extend service availability 24/7.</li>
<li>AI-processed behavioral data is already being used by some banks to make personalized recommendations to customers.</li>
<li>Chatbots help customers keep track of all transactions by sending them timely notifications.</li>
<li>&#8220;In the not-so-distant future, with the aid of VR/AR [virtual reality/augmented reality] devices people could go into the metaverse for their banking, insurance and wealth management needs.&#8221;</li>
</ul>
<p>
<p>NLP (natural language processing) chatbots can help you detect customers&#8217; emotions and attitudes toward your banking experiences. They can help you determine what your customers expect from you and respond to these needs adequately. Oftentimes, financial products are challenging to understand, plus customers don&#8217;t always know how to find information about them. Conversational agents can educate customers about financial products and procedures and help them find answers to specific questions.</p>
</p>
<p>
<h2>DiGItal Services</h2>
</p>
<p>
<p>Advanced finance companies are already leveraging their businesses by changing their service process with the introduction of artificial intelligence (AI) technologies and interactive voice banking. Fraudulent activities can lead to significant financial losses for both customers and financial institutions. Chatbots can help prevent fraud by monitoring and analyzing customer behavior and transactions in real-time to detect suspicious activity. Chatbots can also be programmed to send alerts to customers in case of unusual activity or suspicious transactions. Chatbots can also be used for personal finance purposes, such as budgeting, financial advice and investment guidance. They can provide personalized recommendations based on a user’s spending habits and financial goals and help users keep track of their expenses and savings.</p>
</p>
<p>
<div style='border: grey dashed 1px;padding: 12px;'>
<h3>Financial Planning With AI: How Will It Work &#8211; The New York Times</h3>
<p>Financial Planning With AI: How Will It Work.</p>
<p>Posted: Sat, 20 May 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiTGh0dHBzOi8vd3d3Lm55dGltZXMuY29tLzIwMjMvMDUvMjAvYnVzaW5lc3MvYWktZmluYW5jaWFsLWFkdmljZS1jaGF0Z3B0Lmh0bWzSAQA?oc=5' rel="nofollow">source</a>]</p>
</div>
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		<item>
		<title>Exploring Generative AI: How to Make AI-Generated Art in Your Business</title>
		<link>http://www.dunavskiferali.com/blog/exploring-generative-ai-how-to-make-ai-generated/</link>
		<comments>http://www.dunavskiferali.com/blog/exploring-generative-ai-how-to-make-ai-generated/#comments</comments>
		<pubDate>Mon, 20 Feb 2023 13:54:37 +0000</pubDate>
		<dc:creator><![CDATA[adminko]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.dunavskiferali.com/?p=471</guid>
		<description><![CDATA[2306 04141 Art and the science of generative AI: A deeper dive There are some examples, however, of AI companies attempting to do just that. Adobe has exclusively trained its Firefly generative AI on images that it holds the rights to. It even offers to indemnify customers who use its tools against future claims against [&#8230;]]]></description>
				<content:encoded><![CDATA[<h1>2306 04141 Art and the science of generative AI: A deeper dive</h1>
<p>There are some examples, however, of AI companies attempting to do just that. Adobe has exclusively trained its Firefly generative AI on images that it holds the rights to. It even offers to indemnify customers who use its tools against future claims against them. The crown of the AI art generation scene falls on none other than Midjourney.</p>
<ul>
<li>VQGAN-CLIP and Stable Diffusion, for example, are both open source, so there are a large number of apps that use them openly—and lots of others that don&#8217;t say anything.</li>
<li>Additionally, DALL-E 2 powers several tools found on our list as well as other AI image-generation tools available for use today.</li>
<li>Shutterstock’s AI art generator does not have as many templates or styles as some competitors on our list.</li>
<li>We used the &#8220;retro-future&#8221; feature, but you can choose over 20 different styles.</li>
</ul>
<p>From there, you will explore various AI art software and learn how to use them to create beautiful pieces of art. NVIDIA Picasso is an accelerated cloud service for enterprises that need custom generative AI models for creating high-res, photorealistic images, videos, and 3D content. In the long run, AI developers will need to take initiative about the ways they source their data — and investors need to know the origin of the data. It&#8217;s called an adversarial network because the algorithm comprises two parts that compete against each other – like two tortured digital artists. High-quality data can help the AI better understand the nuances of different art styles and techniques. Similarly, a diverse dataset can equip the AI with a broader range of styles and elements to draw from, enabling it to produce more varied and innovative art pieces.</p>
<h2>Best AI Painting Generators: Create AI Art &#038; AI Drawing from Text</h2>
<p>This is a technical review using compiled literature researched from relevant databases. The information provided within this article is gathered from vendor websites or based on an aggregate of user feedback to ensure a high-quality review. If you’re not a fan of <a href="https://www.difc.ae/public-register/metadialog-software-limited/">Yakov Livshits</a> the ads and want to support the developer, you have the option to purchase the service through one of the paid subscription plans. The paid plans provide access to speedier generations, watermark-free artwork, an ad-free experience and more inexpensive perks.</p>
<p>You can even upload a picture of a particular art style you want the AI to replicate. Just picture a cartoonist who has spent many years perfecting their drawings  and details of characters. The cartoonist can convert those years of experience into data that&#8217;s fed into the AI to create the perfect masterpiece.</p>
<h2>Which AI art generator should you use?</h2>
<p>DeepAI enables you to create as many images as you’d like, and each one is unique. It is highly customizable, allowing you to change the amount of detail, colors, textures, and more. If you type an illustration, DeepAI can immediately generate a resolution-independent vector image. According to OpenAI, the tool can be used to create illustrations, design products, and generate new ideas for business. You can license up to 10 AI-generated images for free with Shutterstock&#8217;s Free Trial Offer.</p>
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" width="301px" alt="generative ai art"/></p>
<p>Issues around ownership and credit are tricky because we need copyright law that benefits creators, users, and society at large. Today’s copyright laws might not adequately apportion rights to artists when these systems are training on their styles. Have you ever wondered how to create realistic and stunning images from a few words or a simple sketch? One of the most amazing applications of generative AI is image creation. Whether it&#8217;s crafting images from scratch – like animals, landscapes, faces, artworks, and more – or enhancing and transforming existing images with filters, effects, or styles, the creative potential is limitless.</p>
<p>Generative AI platforms are trained on data lakes and question snippets — billions of parameters that are constructed by software processing huge archives of images and text. The AI platforms recover patterns and relationships, which they then use to create rules, and then make judgments and predictions, when responding to a prompt. Yes, AI can generate art in a wide range of styles, from classical and impressionist to abstract and surreal. The style is primarily determined by the data the AI is trained on, but it can also combine styles in novel ways or even create entirely unique styles.</p>
<h2>Why are the best AI art generators so controversial?</h2>
<p><b>Yakov Livshits</b><br />Founder of the DevEducation project<br />A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.</p>
<p></p>
<p>This art generator takes your text prompts and uses a Discord bot to turn them into impressive graphics for personal and professional use. This means that many AI art generators are essentially just different user interface skins for the same art-generating algorithms. Still, it&#8217;s annoying when you&#8217;re trying to choose which app to use (or write about them). When it isn&#8217;t declared, I&#8217;ve speculated, based on my experience with all these different generative AIs.</p>
<p>Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. ArXiv is committed to these values and only works with partners that adhere to them. It allowed them to move, free of ties, in the vast latent space that art offers. They could focus on the abstract, on painting ideas to transmit feelings that photos fail to catch. They could break the rules and explore the limits of what’s possible, finding meaning in questions that only exist within us.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="308px" alt="generative ai art"/></p>
<p>Consider what you want and need from your AI art and image generator, build a shortlist, and then test a few out to find your ideal tool with your preferred art styles. It is possible that the hype around these tools as disruptive forces outstrips reality. “Every single piece of content from the BBC to Disney will be made interactive by these models,” he says.</p>
<p>We&#8217;ve found DALL-E 2 to be the best AI art generator for those curious to start exploring the technology – and certainly the simplest and most straightforward of the more advanced tools. It&#8217;s well-known,  so there are plenty of tutorials, it&#8217;s easy to use and it can produce stunning results, including photorealistic images with lots of detail. Getting started is super quick, the main text-to-image function is intuitive to use, and we find the actual process of image generation is relatively quick. Additionally, DALL-E 2 powers several tools found on our list as well as other AI image-generation tools available for use today. The tool allows you to create realistic images and digital art from text and descriptions.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="generative ai art"/></p>
<p>But I’d be surprised if it’s the only one with watermarked art in its training data. I recently saw an AI-generated contract that looked a lot like one of my own form contracts posted here at TechContracts.com. I could be flattering myself, but that sort of heavy reliance on a particular set of texts wouldn’t be surprising. This course is ideal for anyone who is interested in exploring the potential of generative AI art. Whether you are an artist, graphic designer, photographer, or simply a creative person, this course will equip you with the skills and knowledge to produce stunning and unique AI-generated artwork.</p>
<h2>Title:Art and the science of generative AI: A deeper dive</h2>
<p>The work, which depicts a futuristic opera being performed on a theatre set in space, was created using MidJourney; Allen entered a text prompt, and then upscaled the image using Gigapixel AI. The University of Chicago has released a <a href="https://deveducation.com/en/about/">Yakov Livshits</a> tool called Glaze which adds human-imperceptible visual noise to an image that interferes with model training. If you have new work you’re concerned about posting online, this can help protect it from being replicated by ML models.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="generative ai art"/></p>
<p>Whereas in the past, it would take years of training to create beautiful pieces, with the advent of AI art generators, you can create any type of digital art or image at the click of a button. The best AI art generators provide you with the ability to generate digital pieces from a few sentences, and some can do a lot more than that. DeepAI is a  great model for users who want to quickly create a resolution-independent vector image. The technology is constantly improving, but there are already incredible examples of art created with the app. The course will cover everything from generating simple images to creating complex visuals and textures.</p>
<div style='border: grey solid 1px;padding: 12px;'>
<h3>Renowned AI expert is keynote speaker at annual engineering and &#8230; &#8211; Union College</h3>
<p>Renowned AI expert is keynote speaker at annual engineering and &#8230;.</p>
<p>Posted: Wed, 13 Sep 2023 12:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiemh0dHBzOi8vd3d3LnVuaW9uLmVkdS9uZXdzL3N0b3JpZXMvMjAyMzA5L3Jlbm93bmVkLWFpLWV4cGVydC1rZXlub3RlLXNwZWFrZXItYW5udWFsLWVuZ2luZWVyaW5nLWFuZC1saWJlcmFsLWFydHMtc3ltcG9zaXVt0gEA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>The quality is a little water color-y but hey, it’s a cottage in a forest, precisely what I asked for. Their website will greet you with a text prompt where you put in a simple description of what you want the AI to paint. In today’s blog, you will learn how to convert your followers into clients with 7 exceptional tips that will empower your social media conversions. Today, we will share the top 5 LinkedIn tools to grow your audience fast and easily using one of these tools. Generative art was built on inspirations from Dadaism all the way to Surrealism. She used a “genetic algorithm” to guide the program “towards more constraint-fulfilling and desirable-property-producing content”.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.dunavskiferali.com/blog/exploring-generative-ai-how-to-make-ai-generated/feed/</wfw:commentRss>
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		</item>
		<item>
		<title>CleanMyMac X, cleaning and optimization utility, wins gold in Asia Design Prize 2022</title>
		<link>http://www.dunavskiferali.com/blog/cleanmymac-x-cleaning-and-optimization-utility/</link>
		<comments>http://www.dunavskiferali.com/blog/cleanmymac-x-cleaning-and-optimization-utility/#comments</comments>
		<pubDate>Thu, 09 Feb 2023 17:55:27 +0000</pubDate>
		<dc:creator><![CDATA[adminko]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.dunavskiferali.com/?p=525</guid>
		<description><![CDATA[TechUkraine on LinkedIn: Kyiv-based MacPaw launched SpyBuster for iOS Techukraine You don’t need any technical knowledge at any stage to use CleanMyMac X or customize its features. You simply select the function you want to perform, and this tool will take care of the rest. The prices do not affect the quality in any way, [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>
<h1>TechUkraine on LinkedIn: Kyiv-based MacPaw launched SpyBuster for iOS Techukraine</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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" width="308px" alt="macpaw customer service"/></p>
<p>
<p>You don’t need any technical knowledge at any stage to use CleanMyMac X or customize its features. You simply select the function you want to perform, and this tool will take care of the rest. The prices do not affect the quality in any way, our customers get tested verified products. In addition you have with Blitzhandel24 a security up to 20,000€  over Trusted Shops as well as a legally safe Shop, by EHI Prüfsiegel. Here are some of the many ways this commitment helps make Ukraine an IT powerhouse. PCMag is obsessed with culture and tech, offering smart, spirited coverage of the products and innovations that shape our connected lives and the digital trends that keep us talking.</p>
</p>
<p>
<div style='border: grey dotted 1px;padding: 14px;'>
<h3>MacPaw: the Ukrainian cybersecurity firm defying a cyberwar &#8211; TechRadar</h3>
<p>MacPaw: the Ukrainian cybersecurity firm defying a cyberwar.</p>
<p>Posted: Fri, 23 Jun 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiYWh0dHBzOi8vd3d3LnRlY2hyYWRhci5jb20vcHJvL3NlY3VyaXR5L21hY3Bhdy10aGUtdWtyYWluaWFuLWN5YmVyc2VjdXJpdHktZmlybS1kZWZ5aW5nLWEtY3liZXJ3YXLSAQA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>For almost as long as these operating systems have existed there have been tools to clear down the needless data and optimise files, tables and configuration to speed up operation. One of the first of these tools was &#8220;Norton Utilities&#8221; created by Peter Norton in 1982 for MS-DOS (later sold to Symantec <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> in 1990). In the intervening 35 years Operating systems have become over more advanced and demanding and the number of competing tools increased. We, as a solution provider have used most of these tools over the years but recently we&#8217;ve focused on a powerful and lightweight tool from MacPaw.</p>
</p>
<p>
<h2>The NEW Version of CleanMyMac</h2>
</p>
<p>
<p>No matter how many applications you work on simultaneously, it will never keep you waiting. However, with time as it gets old, you must clean it up just like every other laptop available in the market. &#8220;We believe that our users should know and understand the risks of running specific programs on their computers,&#8221; MacPaw says. &#8220;And, as the company you trust, we think that it’s our responsibility to inform you about them and protect your data from being compromised.&#8221; CleanMyMac X is an advanced cleaning and optimization app, designed to power-up and protect Macs.</p>
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<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>What is better than CleanMyMac?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<ul>
<li>CCleaner.</li>
<li>cleanmasterofficial.</li>
<li>Treesize.</li>
<li>WinZip System Utilities Suite.</li>
<li>Duplicate Photos Fixer Pro.</li>
<li>Duplicate Files Fixer.</li>
<li>CleanMyPC.</li>
<li>Cleaning Suite Pro.</li>
</ul>
</div></div>
</div>
<p>
<p>All Discounts Live And Tested.Get great savings on your purchases at MacPaw. New Customers &#8211; 20% off your first order with sign up At MacPaw.Minimum spend may apply. To get 5% off across the site.Grab yourself the bargain before anyone else does. With Code42, security professionals can protect corporate data and reduce insider risk while fostering an open and collaborative culture for employees. Backed by security best  practices and control requirements, Code42’s insider threat solution can be configured for GDPR, HIPAA, PCI and other regulatory frameworks.</p>
</p>
<p>
<h2>Where does the donation come from?</h2>
</p>
<p>
<p>I run Adobe applications and most tend to take create a huge cache which CMMX was  able to delete. Besides cleaning the Mac, it doubles <a href="https://www.metadialog.com/macpaw/">macpaw customer service</a> as a very effective malware removal tool. Shopaholics often get crazy when any sale or deal enters their favourite store.</p>
</p>
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width="309px" alt="macpaw customer service"/></p>
<p>
<p>The country’s low cost of living, high numbers of IT graduates, and government commitment to tech investment make it a solid bet for your next hires. Take some time to investigate what offshoring in Ukraine can do for your business. At ProCoders, we have a certain point of view on the matter. Our first piece of advice is to go with a full-fledged offshore development company, and not merely a talent aggregator.</p>
</p>
<p>
<h2>Computer Storage Saver</h2>
</p>
<p>
<p>If you are short of time and want a quick-fix, then Smart Scan is the best way to improve your MacBook’s performance quickly. All this can be done without any technical knowledge — a relief for non-techies who wish to keep their MacBooks in excellent condition for years. After all, outsourced programmers in Ukraine can be hired for a fraction of the cost of bringing on internal staff, and it’s hard to argue with that kind of logic.</p>
</p>
<p>
<div style='border: black dashed 1px;padding: 12px;'>
<h3>War in Ukraine: the Ukrainian PR Army fights globally against &#8230; &#8211; The Ukrainian Weekly</h3>
<p>War in Ukraine: the Ukrainian PR Army fights globally against &#8230;.</p>
<p>Posted: Fri, 15 Sep 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMif2h0dHBzOi8vc3Vic2NyaXB0aW9uLnVrcndlZWtseS5jb20vMjAyMy8wOS93YXItaW4tdWtyYWluZS10aGUtdWtyYWluaWFuLXByLWFybXktZmlnaHRzLWdsb2JhbGx5LWFnYWluc3QtcnVzc2lhbi1kaXNpbmZvcm1hdGlvbi_SAQA?oc=5' rel="nofollow">source</a>]</p>
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<h2>What is better than CleanMyMac?</h2>
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