News from the AI & ML world
DeeperML
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Agentic AI is rapidly reshaping enterprise data engineering by transforming passive infrastructure into intelligent systems capable of acting, adapting, and automating operations at scale. This new paradigm embeds intelligence, governance, and automation directly into modern data stacks, allowing for autonomous decision-making and real-time action across various industries. According to Dave Vellante, co-founder and chief analyst at theCUBE Research, the value is moving up the stack, emphasizing the shift towards open formats like Apache Iceberg, which allows for greater integration of proprietary functionalities into the open world.
The rise of agentic AI is also evident in the healthcare sector, where it's already being implemented in areas like triage, care coordination, and clinical decision-making. Unlike generative AI, which waits for instructions, agentic AI creates and follows its own instructions within set boundaries, acting as an autonomous decision-maker. This is enabling healthcare organizations to optimize workflows, manage complex tasks, and execute multi-step care protocols without constant human intervention, improving efficiency and patient care. Bold CIOs in healthcare are already leveraging agentic AI to gain a competitive advantage, demonstrating its practical application beyond mere experimentation.
To further simplify the deployment of AI agents, Accenture has introduced its Distiller Framework, a platform designed to help developers build, deploy, and scale advanced AI agents rapidly. This framework encapsulates essential components across the entire agent lifecycle, including agent memory management, multi-agent collaboration, workflow management, model customization, and governance. Lyzr Agent Studio is another platform which helps to build end-to-end agentic workflows by automating complex tasks, integrating enterprise systems, and deploying production-ready AI agents. This addresses the current challenge of scaling AI initiatives beyond small-scale experiments and accelerates the adoption of agentic AI across various industries.
ImgSrc: techstrong.ai
References :
The rise of agentic AI is also evident in the healthcare sector, where it's already being implemented in areas like triage, care coordination, and clinical decision-making. Unlike generative AI, which waits for instructions, agentic AI creates and follows its own instructions within set boundaries, acting as an autonomous decision-maker. This is enabling healthcare organizations to optimize workflows, manage complex tasks, and execute multi-step care protocols without constant human intervention, improving efficiency and patient care. Bold CIOs in healthcare are already leveraging agentic AI to gain a competitive advantage, demonstrating its practical application beyond mere experimentation.
To further simplify the deployment of AI agents, Accenture has introduced its Distiller Framework, a platform designed to help developers build, deploy, and scale advanced AI agents rapidly. This framework encapsulates essential components across the entire agent lifecycle, including agent memory management, multi-agent collaboration, workflow management, model customization, and governance. Lyzr Agent Studio is another platform which helps to build end-to-end agentic workflows by automating complex tasks, integrating enterprise systems, and deploying production-ready AI agents. This addresses the current challenge of scaling AI initiatives beyond small-scale experiments and accelerates the adoption of agentic AI across various industries.
ImgSrc: techstrong.ai
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References :
- siliconangle.com: Three insights you might have missed from theCUBE’s coverage of Snowflake Summit
- techstrong.ai: How Accenture’s New Distiller Framework is Making Enterprise AI Agents as Simple as Building with Lego
Classification:
- HashTags: #AgenticAI #AIDevelopment #NoCodeAI
- Target: Enterprises
- Product: Agent Bricks
- Feature: Agentic AI
- Type: AI
- Severity: Informative