Wrapping up my series on decision agents, here’s the third post. How AI Agents and Decision Agents Combine Rules & ML in Automation Building Decision Agents with LLMs & Machine Learning Models Designing AI Decision Agents with DMN, Machine Learning & Analytics [this...
Eazyshow is an AI-Powered Video Chat Contact Center for seamless, personalized customer service experiences in the financial services sector. Eazyshow combines the power of cutting-edge AI with live, face-to-face video interactions so financial services can deliver seamless, efficient, and...
An AI-powered platform offers better menstrual and menopausal health support and optimized benefits for women in the workplace Sanicle revolutionizes workplace wellness, as a groundbreaking health AI app designed and tailored for those eager to prioritize menstrual health in the workplace....
Shield AI is a robust quality control layer for generative AI that enhances reliability, increases explainability, and enforces governance through proactive monitoring. Shield AI will provide a customizable toolkit of 20+ AI detectors and controls to mitigate costly security, legal, and...
Pegasi Shield demo.mp4
PAAL AI specializes in the creation, customization, deployment, and ongoing management & support of market-leading virtual agents and chatbots. PAAL’s UI/UX includes seamless integration to partner channels with advanced API management, that optimizes real-time data for better processing and...
Paal AI demo.mp4
I am going to be talking about Precise, real-time, ML-driven decisions on your mainframe with @Chris Backhouse at TechXchange this year. Large organizations continue to rely on their Z mainframes to process their core business transactions. When it comes to unforgiving SLAs and...
The June release of IBM ® Mono2Micro ™ enriches the utility and common code discovery experience with an improved AI that now considers both static code analysis as well as dynamic instrumentation of executed code as use cases are run. Java monolith application classes that tend to have...
The April release of IBM ® Mono2Micro ™ enhances the analysis of your monolith applications by detecting potential utility classes and common code. After running the AI recommendation step to get suggestions on how to partition the monolith application, Mono2Micro will highlight any monolith...
The September release of IBM ® Mono2Micro ™ introduces a new and easier way to get started with the tools using your Java application. You no longer need to have application source available in order to use Mono2Micro to get partitioning recommendations. A new binary analyzer allows you to do...