generative ai tools 3
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<p>Top Generative AI Applications Across Industries Gen AI Applications 2025 <h1>20 Tips For Professionals Breaking Into AI Or Generative AI</h1></p>
<p><img class='wp-post-image' style='margin-left:auto;margin-right:auto' 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" width="300px" alt="generative ai tools" /></p>
<p><p>Working with the Leipzig Ballet, Yeff used GenAI to generate innovative dance movements against an AI-generated background. Cognigy is a generative AI platform designed to help businesses automate customer service voice and chat channels. Rather than simply reading answers from a FAQ or similar document, it delivers personalized, context-sensitive answers in multiple languages and focuses on creating human-like interactions.</p></p>
<p><h3>Generative AI and the future of academia - The Campus</h3><p>Generative AI and the future of academia.</p><p>Posted: Fri, 24 Jan 2025 18:03:48 GMT [<a href='https://news.google.com/rss/articles/CBMijAFBVV95cUxOTHJVcFFOaWdHb0VYWl9kR2ZQaHlTN2xSeXFaZ3V4cHpTc2lodWp4LXBha1AtZm9iUm8wVTg0R0dNV1dOMkNldTBlZFY4d3QyZXBWQ1BtVHp5blJTRzE2Ml9hR2FXMV92am04UlhYcHR0Y08tejVNWnppS3dLS0dKZXJObzhGbC0zaUJmQg?oc=5' rel="nofollow">source</a>]</p></p>
<p><p>This new platform guarantees that uploaded data can be decrypted only by the expected server side workflow (anonymizing aggregation) in an expected virtual machine, running in a TEE backed by a CPU’s cryptographic attestation (e.g., AMD or Intel). Parfait’s confidential federated computations repository implements this code, leveraging state-of-the-art differential privacy aggregation primitives in the TensorFlow Federated repository. One company that profits from its continuous learning GenAI bot is U.K.-based energy supplier Octopus Energy. Its CEO, Greg Jackson, reported that the bot accomplishes the work of 250 people and achieves higher satisfaction rates than human agents. Without a doubt, one of the standout use cases for generative AI in business is in customer service and support. This is in contrast to a number of launches in the last couple of years that have seen LinkedIn building by leaning hard on technology from OpenAI, the AI startup backed to the hilt by Microsoft, which also owns LinkedIn.</p></p>
<p><h2>000 AI tracks uploaded daily to Deezer, platform reveals, as it files two patents for new AI detection tool</h2></p>
<p><p>Organizations fund these solutions after they meet innovation criteria related to end-user desirability, technical feasibility, and business viability. According to a new research briefing by researchers Nick van der Meulen and Barbara H. Wixom at the MIT Center for Information Systems Research, organizations are distinguishing between two types of generative AI implementations. The first, broadly applicable generative AI tools, are used to boost personal productivity. The second, tailored generative AI solutions, are designed for use by specific groups of organizational stakeholders. As organizations continue to experiment with and realize business value from generative artificial intelligence, leaders are implementing the technology in two distinct ways. Companies are already using GenAI to pursue small-t transformation nearer to the bottom of the risk slope.</p></p>
<p><img class='aligncenter' style='margin-left:auto;margin-right:auto' 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" width="307px" alt="generative ai tools" /></p>
<p><p>While the guidance documents should provide some clarity for medical device developers, questions still loom about how regulators will approach generative AI. EBay says it is developing more AI-powered tools and features simplify how sellers list and manage their inventory. To use Operator, consumers describe the task they would like performed, such as locating a desired product to purchase, and Operator automatically handles the rest. Operator is trained to proactively ask the user to take over for tasks that require login, payment details, or proving they are human. EBay is testing a virtual assistant for consumers that is equipped with a leading-edge artificial intelligence capability.</p></p>
<p><h2>Frequently Asked Questions (FAQs)</h2></p>
<p><p>Large banks and insurers may have thousands of people doing these tasks, and much of the work is about integrating and interpreting large amounts of unstructured information. Use cases and productivity gains expand when an organization can integrate an LLM with company information and desktop tools. Three categories of transformation represent different areas of the risk slope, starting with low-risk individual uses, then moving to role- and team-specific tasks, and finally to products and customer-facing experiences. Get monthly insights on how artificial intelligence impacts your organization and what it means for your company and customers. The company said that the popularity of generative models such as Suno and Udio have made it easier to automatically create songs, with a view to generating revenue by getting people to stream them. (Web Desk) - Huge numbers of tracks are already being generated by artificial intelligence, according to streaming service Deezer.</p></p>
<p><img class='aligncenter' style='margin-left:auto;margin-right:auto' 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" width="300px" alt="generative ai tools" /></p>
<p><p>Accessible through both Discord and its dedicated web platform, this AI tool lets you produce customized images using aspect ratios and styles. You can also blend multiple images together and add quirky, offbeat qualities to your output to expand creative possibilities. GitHub Copilot is a specialized GenAI tool for context-aware coding assistance throughout the software development lifecycle. It aids developers through code completion, chat assistance, and code explanation and works well with popular integrated development environments (IDEs) like Visual Studio Code and JetBrains IDEs, offering developers real-time suggestions as they code. The technology has greatly democratized programming for business users and sped up the process for experts. But GenAI, while evolving rapidly, isn't perfect and can make up results -- known as AI hallucinations -- that could end up in production if a skilled human isn't part of the process, Nwankpa explained.</p></p>
<p><h2>Risks of Generative AI</h2></p>
<p><p>Manufacturing teams have to meet production goals across throughput, rate, quality, yield and safety. To achieve these goals, operators must ensure uninterrupted operation and prevent unexpected downtime, keeping their machines in perfect condition. However, navigating siloed data -- such as maintenance records, equipment manuals and operating procedure documentation -- is complicated, time-consuming and expensive. Leverage AI chatbots and real-time messaging with in-depth analytics to understand how customers are using your channels better.</p></p>
<p><h3>How generative AI is paving the way for transformative federal operations - FedScoop</h3><p>How generative AI is paving the way for transformative federal operations.</p><p>Posted: Thu, 23 Jan 2025 20:30:44 GMT [<a href='https://news.google.com/rss/articles/CBMiowFBVV95cUxPV1I3MFJCLUk1LVU0RUdJM2VldzQtbnVXOGhsd2VQUThZMzJmVl93bklSY3Iyamt6c0dsX085ZHU4bzQ1UlRHZUZPR0M1dURTdHRTSkhwOVczV3Q4U2pNTkJ0QnpYbEQ2MFFqSi1DNnM5LWtXTDVEY1hMbjFKMGZ5aktHQ2NNZ090WXQ1bkpPMVhibTJXYjZObmhvM0RpTDI1ajNz?oc=5' rel="nofollow">source</a>]</p></p>
<p><p>I wear a lot of hats; I run a small business with my wife, who also has her own business, where I'm the tech guy and designer. And I'm constantly working on projects, ranging from 3D printing the ultimate charging tower, to trying to make an AI-assisted Etsy store, to composing and publishing music and using an AI for help with some of the marketing activities. A 12-month program focused on applying the tools of modern data science, optimization and machine learning to solve real-world business problems.</p></p>
<p><h2>Cohere Generate</h2></p>
<p><p>According to Bloomberg reports, OpenAI has been rumored to be working on a project codenamed "Operator," which could potentially enable autonomous AI agents to control computers independently. These features are already being sold, such as a tool made by Rad AI to generate radiology report impressions from the findings and clinical indication. Companies including GE Healthcare, Medtronic and Dexcom touted new AI features, and others like Stryker and Quest Diagnostics added AI assets through M&A. Meanwhile, conversations about regulations and generative AI, models that are trained to create new data including images and text, dominated medtech conferences.</p></p>
<p><ul><li>Kottler is also watching vision language models that can analyze an image and then craft a draft report.</li><li>It can make images in diverse artistic styles and adjust its generated images according to additional prompts.</li><li>It seems developers view AI tools as going beyond supporting productivity and creativity.</li><li>Some leaders are thinking beyond these highly publicized GenAI risks to also consider the costs and risks of preparing the organization for large-scale implementations.</li><li>Keep in mind that while companies can develop in all three simultaneously, the maturity levels likely will vary.</li></ul></p>
<p><p>Assess where your company is now on the risk slope relative to the companies we’ve described. What are you already doing, and what would be the next level of complexity and reward? Look at the opportunities in the areas of individual productivity, role-specific enhancements, and innovations in product or customer engagement. Keep in mind that while companies can develop in all three simultaneously, the maturity levels likely will vary. AI-powered platforms could serve as proactive assistants, even monitoring an educator’s credentials and providing updates.</p></p>
<p><p>Brands are now leveraging AI to produce personalized campaigns tailored to the preferences of specific audience segments, significantly enhancing campaign effectiveness. These building blocks and references led to the development of a Google Cloud architecture for cross-silo and cross-device federated learning and Privacy Sandbox’s Federated Compute server for on-device-personalization. For example, Google has developed a new GenAI technique that lets shoppers virtually try on clothes to see how garments suit their skin tone and size. Other Google Shopping tools use GenAI to intelligently display the most relevant products, summarize key reviews, track the best prices, recommend complementary items and seamlessly complete the order. Firms such as fintech marketplace InvestHub use generative AI to personalize at scale. Recently acquired by Zendesk, Streamline automates the resolution of repetitive support requests powered by ChatGPT.</p></p>
<p><img class='aligncenter' style='margin-left:auto;margin-right:auto' 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" width="309px" alt="generative ai tools" /></p>
<p><p>Hard truths about AI-assisted codingGoogle’s Addy Osmani breaks it down to 70/30—that is, AI coding tools can often get you 70% of the way, but you’ll need experienced help for the remaining 30%. Tackling the challenge of AI in computer science educationThe next generation of software developers is already using AI in the classroom and beyond, but educators say they still need to learn the basics. Welcome to the new monthly genAI roundup for developers and other tech professionals.</p></p>
<p><h2>Democratized Data-Driven Decisions</h2></p>
<p><p>Starting January 2025, the Alibaba Cloud Container Compute Service (ACS) will provide cost-effective container-based workload deployment. PC development is also looking healthy, with 80% of developers surveyed currently making games for our lovely thinking tellies, up from 66% last year. It's rare to see a week pass where we don't hear about job losses in some form, but even so, that one in ten figure hits especially hard.</p></p>
<p><img class='aligncenter' style='margin-left:auto;margin-right:auto' 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width="302px" alt="generative ai tools" /></p>
<p><p>While Parfait remains an evergreen space for research advancements to be driven into products (at Google and beyond), Google product teams are using it in real-world deployments. For example, Gboard has used technologies in Parfait to improve user experiences, launching the first neural-net models trained using federated learning with formal differential privacy and expanding its use. They also continue to use federated analytics to advance Gboard’s out-of-vocab words for less common languages. From copywriting and content generation to idea creation and more, GenAI has influenced media in both subtle and more audacious ways.</p></p>
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width="305px" alt="generative ai tools" /></p>
<p><p>Research firm Gartner predicted that by 2026, intelligent generative AI will reduce labor costs by $80 billion by taking over almost all customer service activities. Traditional AI-powered chatbots, no matter how sophisticated, struggle to understand and answer complex inquiries, leading to misinterpretations and customer frustration. In contrast, a GenAI-powered chatbot -- drawing from the company's entire wealth of knowledge -- dialogues with customers in a humanlike, natural way.</p></p>
<p><p>“A lot of the work we’re doing now stems from our AI Task Force established in early 2023,” says Kraft. This task force laid the groundwork for initiatives like DHSChat, an internal AI tool supporting nearly DHS 19,000 employees, and three generative AI pilot programs. Alibaba Cloud has also unveiled tools like Workflow for managing complex tasks, Agent for multi-agent collaboration, and RAG (Retrieval-Augmented Generation) to improve model reliability. Additional tools for model evaluation and application monitoring will be available later this month.</p></p>
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