Category:

  • Microscope for clinical R&D

    The Hidden Economics of Clinical Trial Delay

    April 14th, 2026 by
    Written by Kedar Deshpande, Sr. Director, Clinical Data and Analytics Studies on clinical development show that even a one-day delay in a clinical trial can have significant financial consequences, with Tufts CSDD estimating the direct daily cost of Phase II and Phase III trials at about $40,000 and overall revenue...
  • SAP x Reltio

    SAP brings Reltio to the main stage: Why this is an architectural shift for AI

    April 9th, 2026 by
    Written by Ashish Patankar, Sr. Manager, Client Success and Manasi Kaushik, Manager, Marketing The enterprise data landscape shifted significantly last week with the announcement that SAP has entered into a definitive agreement to acquire Reltio, the cloud-native master data management (MDM) powerhouse. This is a significant shift; SAP acquiring Reltio signals that master data is becoming foundational...
  • Next Era of Intelligent Systems

    A Unified Graph Approach for the Next Era of Intelligent Systems 

    December 17th, 2025 by
    Written by Soumen Chakraborty, Vice President, Artificial Intelligence During a recent Life Sciences data modernization workshop, a VP paused and asked:  “Should we use RDF or a Property Graph? Which one works better for AI and agentic workflows?”  We hear this question all the time.  But the real issue is...
  • Embedding Generative AI in Regulated Drug Development: A Strategic Imperative

    October 27th, 2025 by
    Written by Colin Wood, Strategy & Solutions Leader, Life Sciences Regulated drug development is inherently document-centric, requiring a vast array of structured documents to support regulatory submissions and maintain licenses. With the rise of Generative AI tools like ChatGPT, Copilot, Gemini, and Claude, organizations now have unprecedented capabilities to process,...
  • Smarter AI Models Blog

    Beyond the Hype: Why Data Management Needs Smaller, Smarter AI Models 

    October 6th, 2025 by
    Written by Soumen Chakraborty, Vice President, Artificial Intelligence  Introduction  Over the past two years, Large Language Models (LLMs) have dominated the AI conversation. From copilots to chatbots, they’ve been positioned as the universal answer to every problem. However, as enterprises begin to apply them to their data management problems, the cracks are starting to show - high costs, scalability issues,...
  • Agentic intelligent Data Engineering - AI agent

    ​​The Path to Agentic intelligent Data Engineering​

    September 17th, 2025 by
    Written by Siddharth Mohanty, Director, Data Management Evolving Agentic AI Landscape  ​Artificial intelligence (AI) is developing quickly, moving from basic assistants to self-governing systems that can act and make decisions with little human supervision.  ​Generative AI, AI agents, agentic AI, and now the Model Context Protocol (MCP), a ground-breaking framework...
  • Future of cloud software

    The Next Generation of SaaS, Powered by AI

    July 24th, 2025 by
    Written by Neha Sharma, Sr. Manager, Data Management As the digital landscape rapidly evolves, Software as a Service (SaaS) is entering a new era—one where Artificial Intelligence (AI) is not just an enhancement but a foundational driver of transformation. Once celebrated primarily for its scalability and operational efficiency, SaaS is...
  • Getting Started with Agentic Architecture

    June 24th, 2025 by
    Written By Soumen Chakraborty, Vice President, Artificial Intelligence  As large language models (LLMs) like GPT-4.x, Claude, and Gemini continue to evolve, the question shifts from "What can the model do?" to "How can we make it work as part of a system?" That’s where agentic architecture comes in — a...
  • A 10-Minute Guide to the Evolution of NLP

    May 5th, 2025 by
    Written by Sudarsana Roy Choudhury, Managing Director, Data Management  What is NLP?  Natural Language Processing (NLP) is a subfield of artificial intelligence and machine learning that focuses on the interaction between computers and human (natural) languages. It involves a range of computational techniques for the automated analysis, understanding, and generation...
  • Microsoft Fabric – A Unified View of the Modern Data Landscape

    November 25th, 2024 by
    Written By Siddharth Mohanty, Sr. Manager, Data Management Stepping into The Future With AI  The future is AI.   From easy-to-use copilot experiences to custom generative AI solutions, every organization today is exploring how they can best utilize AI. However, as businesses get ready for an AI-powered future, they will also...
  • A Deep Dive into the Realm of AI, ML, and DL

    January 3rd, 2024 by
    Written By Debayan Ghosh, Sr. Manager, Data Management In today’s fast-paced world, where information travels at the speed of light and decisions are made in the blink of an eye, a silent revolution is taking place. Picture this: You're navigating through the labyrinth of online shopping, and before you even...
  • Exploring the AI Frontier in Data Management for Data Professionals

    October 9th, 2023 by
    Written By Sudarsana Roy Choudhury, Managing Director, Data Management The beginning of AI is shrouded with myths, stories, and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. One of the first formal beginnings of AI research was at a workshop held on the campus of Dartmouth...