Sphinx Emerges with Copilot for Data Science
Sphinx emerged from stealth today with an AI copilot designed specifically for data scientists and $9.5 million in seed money. While the typical copilot targets software developers, Sphinx aims to bring AI technology to Read more…
Voltron Positions Data Flow as the Next Frontier in AI Performance
At enterprise scale, GPUs rarely stumble because they’ve run out of raw compute power. The slowdown comes when the data can’t keep pace. Once workloads stretch into the tens or hundreds of terabytes, the real drag sh Read more…
Fivetran Acquires Tobiko to Bring Order to Enterprise Data Chaos
When Fivetran acquired Census earlier this year, it marked a turning point in the company’s evolution. Known primarily for its automated data pipelines, Fivetran extended into reverse ETL, enabling companies to send wa Read more…
MIT Report Flags 95% GenAI Failure Rate, But Critics Say It Oversimplifies
MIT’s State of AI in Business 2025 has gone viral, and it’s not hard to see why. The report opens with a bold headline that more than $30 billion has been spent on GenAI, yet 95% of enterprise pilots still fail to ma Read more…
WisdomAI Adds Agents to Context-Aware BI Tool
WisdomAI, one of the startups looking to drive semantic consistency into natural language query (NLQ), today launched a series of AI agents that will function as junior analysts to detect anomalies, prepare analyses, and Read more…
Alation and Immuta in Data Access Hookup
Sometimes you compete, and sometimes you cooperate. In the case of Alation and Immuta, the two companies today are celebrating a new partnership that will see them cooperating to help customers benefit from their respect Read more…
Understanding Problems in the Data Supply Chain: A Q&A with R Systems’ AI Director Samiksha Mishra
Organizations are waking up to the fact that how they source data to train AI models is just as important as how the AI models themselves are developed. In fact, the data arguably is more important, which is why it’s c Read more…
Career Notes for August 2025
It’s that time of month again–time for Big Data Career Notes, a monthly feature where we keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, ne Read more…
How to Make Data Work for What’s Next
The push to adopt AI is forcing a lot of organizations to take a harder look at their data. Leaders want to take advantage of new tools and technologies, but they’re starting to see that their current data isn’t set Read more…
AI Hype Cycle: Gartner Charts the Rise of Agents, ModelOps, Synthetic Data, and AI Engineering
Gartner says the average company spent around $1.9 million on GenAI last year, yet fewer than 30% of AI leaders think their CEOs are satisfied with the results. That gap between spending and satisfaction is concerning. Read more…
d-Matrix Takes On AI ‘Memory Wall’ with 3D Stacked In-Memory Compute
The AI revolution has created huge demand for processing power to train frontier models, which Nvidia is filling with its high-end GPUs. But the sudden shift to AI inference and agentic AI in 2025 is exposing gaps in the Read more…
Why OpenLight Thinks Photonics Is the Key to AI’s Critical Bottleneck
GenAI is exposing a critical flaw in modern computing. While GPU performance continues to grow, the systems built to support these chips are struggling to keep pace. The key challenge now is data transfer. Shuttling huge Read more…
A Unified Data Stack for Data Analytics? Definite Says ‘Yes’
Companies that are tired of the hassle of assembling their own data analytics stacks may want to check out Definite, a Delaware-based startup that just raised $10 million to build a shrink-wrapped, cloud-based, AI-ready Read more…
The AI Beatings Will Continue Until Data Improves
The struggle for AI success has been making news lately. The latest blow was the MIT Media Lab research that found a 95% failure rate for AI pilot projects. There are a lot of factors at play here, but one of the biggest Read more…
AI ROI Hinges On Addressing New Challenges While Rectifying Old Ones
While some early adopters have reaped the rewards of AI, the majority of enterprises are struggling to see meaningful ROI from their investments in the technology. A recent Axios study revealed that, while 73 percent of Read more…
Adapting Your Search Engine to ‘AI Armageddon’ and ‘Zero Click’ Journeys
AI is upending all sorts of traditions, including how people get information and how they shop. Thanks to AI-powered search engines, users no longer need to visit websites to get news or product information. That change Read more…
VAST Tackles AI’s Data Bottleneck with SyncEngine Launch
AI might be the engine behind today’s biggest breakthroughs, but we know that without the right data in the right place, that engine stalls. Most organizations are sitting on massive volumes of data buried in legacy fi Read more…
Confluent Embeds AI Agents Into the Data Stream to Enable Real-Time Agentic AI
Why are so many enterprise AI agents still stuck in pilot mode? Companies have invested heavily in building intelligent systems, but most never make it past the testing phase. The problem is not usually the models themse Read more…
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