Data Fluency: The Foundation for AI in Insurance
The future of insurance will be shaped by those who treat data as a living, strategic asset and not simply a byproduct of
Topic: Big Data
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
Data Gravity and Its Impact on Cloud Strategy
Data gravity is inevitable. Decentralized storage, AI-driven orchestration, and provider-agnostic data fabrics can help make mobility a real option
Real-time Analytics News for the Week Ending October 4
In this week's real-time analytics news: Snowflake announced a managed Model Context Protocol (MCP) Server (now in public preview), enabling organizations to …
Why DataOps Is Critical to Successfully Scaling AI
AI projects often fail to scale due to poor data quality and siloed pipelines. Learn how DataOps provides the governance, automation, and real-time …
A Framework for Taking AI Pilots from Experiment to Enterprise
This framework provides phased validation, continuous integration, and comprehensive risk management, empowering firms to transition from pilot to enterprise …
Bad Data = Missed Revenue: Why GTM Success Starts with Clean Data and Execution-First Intelligence
Companies that invest in structuring their first-party data today are laying the groundwork for AI systems that don't just guide work; they do
AI Isn’t Static. Why Are We Still Feeding It Yesterday’s Data?
Developers need large context windows for breadth, automatic caching for efficiency, and easy-to-use embedding pipelines for retrieval.
Turning Unstructured Data into a Manageable Enterprise Asset
For data analysts, engineers, and scientists, automation can support AI and machine learning initiatives by giving them increased control, reduced overhead, …
The Revenue AI Imperative: Connecting Data, Context, and Guided Selling in Real Time
For enterprise revenue AI to work, it needs more than data. It needs context. Without it, accuracy breaks, decisions stall, and trust disappears. Here’s how …
Turning Data into Action: Why AI-Driven Business Intelligence Still Fails – and How to Fix It
Getting real value from AI-driven BI isn’t just a matter of tools or training. It requires a cultural shift toward accountability, cross-functional …