AI/ML
Data foundation that powers successful enterprise AI agents
Most organizations severely underestimate the foundational work required to prepare enterprise data systems to support AI agents. Without reliable ingestion pipelines, clean…
Building a resilient Supply Chain with AI: Lessons from Sigmoid, PepsiCo, and ISG
Gartner projects that by 2028, 25% of supply‑chain KPI reporting will be powered by Generative AI.1 This shift signals a broader transformation where…
Trump Cards: Turning tariffs uncertainty into competitive advantage
Tariff uncertainty has emerged as a key disruptor, often shifting abruptly and without warning. Under the current administration, tariff levels have reached…
Winning at influencer marketing with Agentic AI
Finding the right influencer is like picking the perfect investment—you want high returns, low risk, and long-term growth. But finding influencers manually…
Building a smarter approach to evaluate the best AI Models for real business impact
56% of companies have integrated AI into at least one function, underscoring the widespread embrace of AI across industries.¹ However, a study…
CPG R&D: the next big opportunity for digital transformation
Consumer Goods and F&B enterprises are hitting a critical innovation bottleneck. Traditional R&D strategies are failing to keep pace with market dynamics—product…
AI enabled real-time analytics improves fraud detection for banks
A fraud detection system scanning thousands of transactions can miss subtle red flags hidden in complex patterns. A seemingly legitimate transaction from…
Migrating from Azure Data and AI Stack to Microsoft Fabric: A practical overview
As the landscape of data platforms continues to evolve, Microsoft has introduced Microsoft Fabric as a comprehensive solution for data integration, analytics,…
Maximizing Project Success through JIRA Data Upcycling
JIRA has long been a staple in the world of project management, particularly for software development teams. Its robust features provide excellent…