Top Generative AI Applications Across Industries Gen AI Applications 2025 20 Tips For Professionals Breaking Into AI Or Generative AI 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. Generative AI and the future of academia – The Campus Generative AI and the future of academia. Posted: Fri, 24 Jan 2025 18:03:48 GMT [source] 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. 000 AI tracks uploaded daily to Deezer, platform reveals, as it files two patents for new AI detection tool 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. While...

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AI art is on the threshold of the “Controls Era” in 2025, says Adobe Adobe introduces new generative AI features for its creative applications Generate Background automatically replaces the background of images with AI content Photoshop 25.9 also adds a second new generative AI tool, Generate Background. It enables users to generate images – either photorealistic content, or more stylized images suitable for use as illustrations or concept art – by entering simple text descriptions. In addition, IBM’s Consulting solution will collaborate with clients to enhance their content supply chains using Adobe Workfront and Firefly, with an aim to enhance marketing, creative, and design processes. Using the sidebar menu, users can tell the AI what camera angle and motion to use in the conversion. While Adobe Firefly now has the ability to generate both photos and videos from nothing but text, a majority of today’s announcements focus on using AI to edit something originally shot on camera. Adobe says there will be a fee to use these new tools based on “consumption” — which likely means users will need to pay for a premium Adobe Firefly plan that provides generative credits that can then be “spent” on the features. Generally Intelligent Newsletter Since the launch of the first Firefly model in March 2023, Adobe has generated over 9 billion images with these tools, and that number is only expected to go up. Illustrator’s update includes a Dimension tool for automatic sizing information, a Mockup feature for 3D product previews, and Retype for converting static text in images into editable text. Photoshop enhancements feature the Generate Image tool, now generally available on desktop and web apps, and the Enhance Detail feature for sharper, more detailed large images. The Selection Brush tool is also now generally available, making object selection easier. With Adobe is being massively careful in filtering certain words right now… I do hope in the future that users will be able to selectively choose exclusions in place of a general list of censored terms as exists now. While the prompt above is meant to be absurd – there are legitimate artistic reasons for many of the word categories which are currently banned. Once you provide a thumbs-up or thumbs-down… the overlay changes to request additional feedback. You don’t necessarily need to provide more feedback – but clicking on the Feedback button will allow you to go more in-depth in...

Welcome to the future of business commerce. Our B2B marketplace connects you directly with trusted suppliers, streamlining procurement to save you time and money. Find what you need and get back to growing your business. The Evolution of Digital Procurement Platforms The evolution of digital procurement platforms has transformed from simple e-catalogs and electronic data interchange systems into sophisticated, cloud-based ecosystems. Modern platforms leverage artificial intelligence, machine learning, and big data analytics to automate routine tasks, predict supply chain disruptions, and provide strategic spend visibility. This shift enables proactive supplier management, enhances compliance, and drives significant cost savings. The focus is now on holistic source-to-pay solutions that integrate seamlessly with other enterprise systems, fostering agility, collaboration, and data-driven decision-making across the entire procurement lifecycle. From Bulletin Boards to AI-Powered Hubs The evolution of digital procurement platforms has transformed from simple e-catalogs into dynamic, intelligent ecosystems. Driven by artificial intelligence and cloud technology, these systems now automate complex processes, provide predictive analytics, and foster real-time supplier collaboration. This shift empowers organizations to move beyond cost reduction and achieve strategic value. Strategic sourcing solutions are now central to agile supply chain management. Modern platforms act as a central nervous system for the entire source-to-pay lifecycle, delivering unprecedented visibility and control. Key Drivers Accelerating Adoption Across Industries The evolution of digital procurement platforms has transformed from simple e-catalogs into dynamic, intelligent hubs. Driven by artificial intelligence and cloud integration, these systems now offer predictive analytics, automated workflows, and real-time supplier collaboration. This shift empowers organizations to move beyond cost reduction, achieving unprecedented strategic agility and risk resilience. Modern platforms are essential for **optimizing supply chain efficiency**, turning procurement into a core competitive advantage that fuels innovation and sustainable growth. Overcoming Legacy Systems and Supplier Reluctance The evolution of digital procurement platforms has transitioned from basic e-procurement tools to intelligent, cloud-based ecosystems. Modern platforms now leverage artificial intelligence and machine learning to automate complex processes, provide predictive analytics, and unlock unprecedented spend visibility. This shift is central to achieving strategic spend management, moving procurement from a cost-center to a value-driving function. Integrated networks connect buyers and suppliers in real-time, fostering collaboration, mitigating risk, and driving continuous efficiency. Core Architectural Components of a Modern Platform The core architectural components of a modern platform are built for resilience and scale. A robust API layer acts as the universal connector, while a microservices-based backend ensures independent deployment...