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Innovation Watch March 03, 2026
Innovation Watch: Vector Data Platforms
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… -
Market Insights™ Feb. 09, 2026
Forces Driving Data Stack Convergence
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Viewpoint Jan. 16, 2026
The Data Stack-quake
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,… -
PEAK Matrix® Nov. 13, 2025
Data and Analytics (D&A) Services PEAK Matrix® Assessment 2025
Enterprises are redefining their Data and Analytics (D&A) strategies to build a strong data foundation for AI that is tailored to their unique business context. This shift reflects a move from broad transformation programs to focused… -
PEAK Matrix® Nov. 06, 2025
Talent Readiness for Next Generation Data, Analytics, and AI Services PEAK Matrix® Assessment 2025
Enterprises accelerating their adoption of AI and data-driven technologies now face an intensified need for specialized, AI-ready talent to sustain large-scale transformation. Organizations require deep expertise in machine learning, generative AI, Natural Language Processing (NLP), reinforcement… -
Viewpoint Oct. 24, 2025
Rewriting the Rules of Data with AI
AI is rapidly redefining the rules of enterprise data management. Traditionally viewed as a manual and resource-intensive function, data management often struggled to keep pace with evolving business demands, the surge of unstructured data, and the… -
Tech Launch Perspective Aug. 12, 2025
Data and Analytics (D&A) and AI – Review of Informatica’s Product Announcements at Informatica World 2025
At Informatica World 2025, Informatica highlighted its increasing focus on AI-native orchestration through the introduction of AI Agent Engineering. This no-code, metadata-aware service enables enterprises to build, scale, and govern complex multi-agent workflows across their data… -
Enterprises are significantly investing in data and AI, yet many are struggling to achieve meaningful returns. The underlying issue in most cases is a weak or fragmented data foundation. Addressing this challenge requires first understanding what…
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In a significant step toward data security and privacy, Databricks recently announced the general availability of its Data Clean Room (DCR), offering which aims to provide a platform to safely share and analyze sensitive data, among…
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Viewpoint Feb. 12, 2025
Modern Data Stack (MDS) 2.0: The Future-ready Architype for Data-enabled Transformation
Modern Data Stack (MDS) components are the foundational building blocks of any data ecosystem. Over the years, these components have transformed significantly to meet growing enterprise demands due to the increasing recognition of data as a… -
The digital transformation landscape is rapidly evolving, and mid-market enterprises (MMEs) are emerging as significant drivers of demand. While they may be smaller than Fortune 500 companies, MMEs are often more agile and willing to…
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