Here is AITech365’s Weekly Roundup of the top news from global markets. In this fast-paced world, breaking down information helps readers grasp the nuances that follow the news.
In Automation in AI news this week…
Snap and Perplexity Partner to Bring Conversational AI Search to Snapchat
Snap Inc. and Perplexity announced a strategic partnership to integrate Perplexity’s AI-powered answer engine directly into the Snapchat platform. With nearly one billion monthly active users, Snapchat will now offer its community a new way to ask questions, explore interests, and access knowledge-all within the app.
In Healthcare news this week…
ArisGlobal Launches NavaX™ Agents Suite to Power Next-Gen Agentic AI in Life Sciences
In a strategic move to accelerate its AI-driven life-sciences offerings, ArisGlobal announced the launch of the NavaX Agents Suite an “intelligent orchestration layer” built into its existing LifeSphere® Unify ecosystem that introduces an agentic-AI architecture where a “Super Agent” oversees multiple domain-specialised agents to achieve complex, multi-step goals.
In Business Technology news this week…
1touch.io Launches Kontxtual™ – AI-First Data Intelligence Platform
1touch.io, the pioneer in Contextual Data Intelligence, proudly unveils Kontxtual™, a groundbreaking AI-Driven Data Platform engineered for the AI era. Built to accelerate enterprise innovation without compromising control, Kontxtual™ harnesses the power of AI and Large Language Models (LLMs) to deliver real-time data, identity, usage, and risk insights – assuring sovereignty and security throughout the entire AI lifecycle. Build faster, govern more rigorously, and scale AI confidently from data source to model output.
In Cloud news this week…
Confluent Launches Confluent Intelligence to Address the AI Context Gap
Confluent, a pioneer in data streaming, unveiled Confluent Intelligence the most direct route for enterprises to build and power context-rich, real-time artificial intelligence (AI) systems. Built atop Confluent Cloud, the platform delivers a fully managed stack that continuously streams and processes both historical and real-time data, providing the essential context directly into AI applications for more reliable, secure, and scalable AI workloads. With Confluent Intelligence, organizations can establish AI systems grounded in dynamic and trustworthy data.
In IT & DevOps news this week…
Snowflake Unveils Developer Tools to Supercharge Agentic AI Development – What It Means for DevOps and Business
Snowflake, the AI Data Cloud company, has announced a significant expansion of its developer tooling aimed at accelerating “agentic” AI applications that is, systems built to act autonomously or semi-autonomously, using data and embedded logic, beyond mere analytics.
In Manufacturing news this week…
Analog Devices Launches CodeFusion Studio 2.0 for Faster AI Dev
Analog Devices, a global leader in semiconductor innovation, launched CodeFusion Studio™ 2.0, a significant upgrade to its open source embedded development platform. Designed to simplify and accelerate the development of AI-enabled embedded systems, CodeFusion Studio 2.0 introduces advanced hardware abstraction, seamless AI integration and powerful automation tools to streamline the journey from concept to deployment across ADI’s diverse processors and microcontrollers.
Insight of the Week
How Microsoft Uses AI to Drive Enterprise Productivity
The enterprise world is changing fast. Companies used to focus on cloud first. Now it is AI first. The rules are different. Speed, intelligence, and adaptability matter more than ever. Businesses that fail to adopt AI risk falling behind, while those that embrace it see productivity and innovation grow in ways they never imagined. This shift is at the heart of Microsoft’s enterprise productivity approach.
Reinforcement Learning vs. Supervised Learning: Which Fits Your Strategy?
AI today isn’t just about smarter machines, it’s about sharper strategy. Every business sits between two AI paths. One is about predicting what’s likely to happen. The other is about acting on it in real time. Supervised learning powers the first path, using labeled data to make precise predictions that guide decisions. Reinforcement learning drives the second, learning through experience to choose the best actions over time. Together, they represent the core tension in enterprise AI, prediction versus action.
