• NEW
    Blog
    Aug. 03, 2026

    In Part 1 of this series, Why the Migration Clock Has Already Started, we explained why Banking, Financial Services and Insurance (BFSI) enterprises cannot wait for a formal mandate to begin their Post-quantum Cryptography (PQC) migration and estimated a roughly US$7 billion spending opportunity across the top…
  • Blog
    July 21, 2026

    Current state of cryptography in BFSI  Banks, insurers, and capital markets enterprises have been using cryptography for a long time across every important part of their business. It protects everything from mobile payments to complex trading platforms and third-party connections.  …
  • Tech Launch Perspective
    July 17, 2026

    The Data and Analytics (D&A) market continues to evolve as enterprises modernize fragmented data estates, strengthen governance, and prepare platforms for AI and agentic workloads. Organizations are prioritizing governed, interoperable, real-time, and context-rich data foundations that…
  • Blog
    July 08, 2026

    Artificial Intelligence (AI) is having its moment. After years of cautious skepticism, pilot-stage overhang, and boardroom debates, the conversation has moved beyond experimentation. Enterprises are no longer asking whether to deploy agents, they are now asking how fast they can scale them across their entire workflow estate. However, speed comes at a price and almost nobody is doing the math.   The warning signs…
  • LinkedIn Live
    May 28, 2026

    What is the “context layer” for organizational AI, and what did it look like in the race to unlock enterprise value? Although autonomous AI systems were being deployed with greater frequency, organizations continued to face persistent…
  • Blog
    May 12, 2026

    As enterprises race to build their universes of sophisticated generative AI (gen AI) models and agentic solutions, the first instinct was predictable: strengthen the data foundation. The first wave of readiness was all about modernization – platforms, pipelines, vector databases – making sure Artificial Intelligence (AI) systems had enough structured fuel…
  • Blog
    May 05, 2026

    For decades, enterprise software has centered on systems of record, platforms designed to manage critical business data, ensure accuracy, and maintain compliance. These systems have formed the backbone of enterprise operations, enabling reliability and control across…
  • Viewpoint
    March 31, 2026

    To keep pace with macroeconomic uncertainties, supply chain volatility, and growing business expectations, procurement leaders must deliver more than operational efficiency. The modern mandate calls for agility, intelligence, and measurable value. However, fragmented systems, siloed workflows,…
  • Viewpoint
    March 25, 2026

    Procurement has historically focused on cost savings and operational efficiency, supported by spend visibility and reporting tools. However, AI advances are fundamentally reshaping this model by enabling continuous, intelligence-driven procurement decision-making. Agentic AI introduces autonomy into…
  • Blog
    March 24, 2026

    The procurement technology landscape is expanding at a pace that reflects more than incremental digitization. Across sourcing, contracting, spend intelligence, vendor management, and accounts payable solutions, providers are proliferating, capital is flowing, and enterprises are broadening their digital roadmaps.  This proliferation has resulted in a diverse technology landscape marked by:  Traditional integrated suites anchoring…
  • Blog
    March 17, 2026

    For years, procurement was defined by one outcome: savings achieved through negotiations, competitive bidding, and benchmarking. Later, technology -driven efficiency became an additional priority. With this, the performance improved, but the perception did not. Procurement remained operational, important, yet rarely strategic.  Now, the shift is unmistakable. Agentic Artificial Intelligence (AI) is changing…
  • Innovation Watch
    March 03, 2026

    As enterprises accelerate AI adoption, managing and retrieving high-dimensional data has become an essential capability. Organizations are increasingly complementing and augmenting traditional databases with vector data platforms purpose-built to store and query embeddings generated through AI…
  • Viewpoint
    March 03, 2026

    Procurement is at a pivotal inflection point. After a decade of digital transformation focused on automation, compliance, and analytics, many organizations have reached a plateau where process automation remains rule-based and heavily dependent on human intervention…
  • Market Insights™
    Feb. 09, 2026

  • Viewpoint
    Jan. 16, 2026

    Rapid generative AI acceleration has exposed foundational weaknesses in the modern data stack. Architectures that were originally designed for analytics and reporting are now being pushed to support real-time, large-scale AI workloads that demand trusted, governed,…
  • Market Insights™
    Jan. 02, 2026

  • Provider Compendium
    Dec. 30, 2025

    Enterprises are repositioning quality from a downstream testing activity to a strategic engineering capability embedded across the software development life cycle. As digital, cloud, and AI initiatives scale, expectations are moving beyond defect identification toward resilience,…
  • Provider Compendium
    Dec. 22, 2025

    The Procurement Outsourcing (PO) Services – Provider Compendium 2025 provides comprehensive, fact-based profiles of 20 PO providers. It highlights their service offerings, scale of operations, technology solutions, delivery locations, and recent developments and investments. This report…
  • State of the Market
    Dec. 12, 2025

    Procurement’s role is evolving from a process enabler to a strategic value differentiator, and AI, especially generative and agentic AI, is at the forefront of this transformation. It presents an opportunity to make procurement operations more…
  • Blog
    Dec. 11, 2025

    IBM’s acquisition of Confluent signals a pivotal move toward a unified end-to-end data stack that can enable AI at scale. Reach out to discuss this topic in depth. IBM’s Next Chapter: Unifying Data, Cloud, and AI On…

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