AICS Digest
Insights at the intersection of AI and enterprise strategy—helping
leaders turn innovation into impact.
Welcome to the AICS Digest, designed for leaders who are shaping the future with AI. Each month, we bring you sharp insights and real-world stories on how applied AI is solving today’s toughest business challenges, creating measurable impact, and opening new growth opportunities. Think of it as your executive lens on what’s next in enterprise AI.
GenAI and agentic technologies are redefining what’s possible for enterprises of the future. It is very inspiring to see how AICS is building these capabilities and showing us new ways to unlock innovation, accelerate transformation, and shape a workplace ready for tomorrow. In this transformation, it is most heartening to see the creative collaborations and a boundaryless mindset across teams. An exciting future awaits us!
Rohini Singh
Chief People Officer, Fractal
INSIGHT
Agentic AI: Revolutionizing diagnostics with smarter, faster, and fairer healthcare
Autonomous, continuously learning AI agents are transforming diagnostics by handling workflows, reducing delays, and ensuring consistency. Hospitals and labs benefit from faster, more reliable test results and improved patient outcomes.
SPOTLIGHT
Cognitive Zero Trust in the Era of Agents and Agentic AI
As adaptive AI agents act and collaborate autonomously, traditional security assumptions no longer apply. A new 'cognitive' Zero Trust model embeds explainability, orchestration safety, and human oversight to protect against emerging risks.
Cognitive Zero Trust in the Era of Agents and Agentic AI
As adaptive AI agents act and collaborate autonomously, traditional security assumptions no longer apply. A new 'cognitive' Zero Trust model embeds explainability, orchestration safety, and human oversight to protect against emerging risks.
OTHER READS
Prompt optimization for RCA analysis in Bedrock
By combining Amazon Bedrock, Titan embeddings, and optimized prompts, enterprises can transform RCA repositories into interactive knowledge systems, accelerating incident resolution and standardizing preventive actions.
RAG vs Agentic RAG
Traditional RAG grounds responses in external knowledge, while Agentic RAG autonomously refines queries, validates information, and adapts in real time, making it ideal for high-stakes use cases.
RAG vs Agentic RAG
Traditional RAG grounds responses in external knowledge, while Agentic RAG autonomously refines queries, validates information, and adapts in real time, making it ideal for high-stakes use cases.