AI/ML
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 AI Model evaluation 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…
Cloud data modernization for business growth: Insights from industry leaders
Srinath Reddy B Head of Data Platforms & Engineering at Dun & Bradstreet Mayur Rustagi CTO and Co-Founder at Sigmoid According…
Why banks must embrace proactive risk management with AI-driven RegTech
Large firms spend up to $10,000 per employee annually on compliance, averaging around $300 million annually.¹ This significant investment could be redirected…
How to elevate digital banking experiences for customers with data analytics
From data silos and security concerns to poor data quality and ineffective segmentation, retail banks today face a myriad of challenges in…