Systems | Development | Analytics | API | Testing

Where AI Capital Is Flowing: Insights From The Snowflake-Crunchbase Report

Jul 1, 2026 By Snowflake Inc. In Snowflake
At Snowflake Summit 2026, Gene Teare from Crunchbase and Harsha Kapre, Director at Snowflake Ventures, discuss their joint report examining AI investment trends and capital formation in the data ecosystem. Learn how the market has evolved from 2021's broad exuberance to concentrated investment in AI-ready infrastructure, governance, and agentic applications. Discover what signals indicate a startup is truly enterprise-ready versus experimental, and explore the next phase of capital formation in the agentic AI economy.
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qlik

Qlik Named a Leader. Again. For the 16th Year. For Us, AI Was Never an Afterthought.

Jul 1, 2026 By Brendan Grady In Qlik
We are excited to share that Qlik has been recognized as a Leader in the 2026 Gartner Magic Quadrant for Analytics & Business Intelligence Platforms, recognized for both our Completeness of Vision and Ability to Execute. Download the complimentary report here. Sixteen years. Our Sweet Sixteen, if you're counting. I'd argue it's less a milestone for us and more a proof point.
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astera

Foundation First: Why Model-Agnostic Data Platforms Win

Jun 30, 2026 By Hira Asif In Astera
In 2024, two of the largest data platform companies, each with billions in revenue and dedicated AI research teams, invested in building their own foundation models. One spent roughly $10 million training a 132-billion parameter model on 3,072 NVIDIA H100 GPUs. The other released a 480-billion parameter model optimized for enterprise tasks like SQL generation and code. Both achieved strong results within their compute class.
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ThoughtSpot June Release: Customize Your Agent

Jun 30, 2026 By ThoughtSpot In ThoughtSpot
Check out what’s new in ThoughtSpot’s latest release! SpotterModel gets smarter: Build complex data models with AI formula suggestions and instant version rollbacks if you make a mistake. No stress, no lost work. Spotter Instructions: Fully customize Spotter’s persona, formatting rules, and strict guardrails. It says exactly what you want it to say—and nothing it shouldn't. Ad Hoc Analysis: Drop local files directly into Spotter for instant answers, or blend them safely with your governed enterprise data.
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hitachi vantara

How AI Inference Is Reshaping Enterprise Infrastructure

Jun 30, 2026 By Sunitha Rao and Nick Loy In Hitachi Vantara
Data center teams are skilled at solving familiar problems such as storage outages, missed forecasts, and late refresh cycles. These are known quantities. Teams have playbooks for them. But 2026 has brought a different kind of pressure. After years of enterprise AI investment concentrated almost entirely on model training, the industry has crossed a threshold: the workload that now defines AI infrastructure isn’t building models. It’s running them. Continuously. At scale. Every day.
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