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…
A 60% Accuracy Leap? Alation Ties AI to Your Data Context
Natural language access to enterprise data is no longer enough. Business teams need answers they can trust, but too often, responses from AI assistants are inconsistent, misleading, or stripped of context. That’s becau Read more…
Databricks Now Worth $100B. Will It Reach $1T?
Databricks won’t be going public anytime soon, if its latest funding round announced yesterday is any indication. But the lack of an IPO doesn’t appear to matter to the company’s skyrocketing growth. In fact, the c Read more…
Why Your New AI Tools (and the Companies Making Them) Are Failing You
The initial euphoria surrounding generative AI is officially over. It has been replaced by a simmering, and in many cases boiling, frustration from the very users these platforms are meant to serve. The recent rollout of Read more…
The Rise of Vibe Coding and What It Means for Developer Creativity
Spend enough time writing code and you start to develop a sixth sense, not just for logic or syntax, but for rhythm. There’s a creative cadence to software development that, when you're in it, feels a lot like flow. Th Read more…
Anaconda Report Links AI Slowdown to Gaps in Data Governance
The push to scale AI across the enterprise is running into an old but familiar problem: governance. As organizations experiment with increasingly complex model pipelines, the risks tied to oversight gaps are starting to Read more…
How Much Docker Should a Data Scientist Know?
The best answers are obviously “some”, “depends”, or begin with “Well…”. Let’s do a deeper dive and attempt to understand where and how Docker is being shoehorned (read shoved) into a data scientist’s d Read more…
From Logs to Dashboards: Grafana Assistant Adds AI Across the Workflow
Grafana Labs, the open observability platform, says it wants to make monitoring systems easier for everyone, not just experts. This week, the company launched a public preview of Grafana Assistant, a new AI tool built in Read more…
Software-Defined Storage: Your Hidden Superpower for AI, Data Modernization Success
Hybrid clouds have created new opportunities for enterprise IT, but for storage administrators and cloud architects, this progress comes with a heavy challenge: legacy storage systems are struggling to keep pace with the Read more…
Cube Ready to Become the Standard for Universal Semantic Layer, If Needed
Artyom Keydunov created the Cube semantic layer as a side project back in 2018 to ensure consistent answers to queries generated by the new Slack chatbot he had built. Fast forward seven eventful years, and semantic laye Read more…
How Aerospike Is Helping AI Do More With Less Data Infrastructure
The margin for inefficiency in AI infrastructure is shrinking fast. With each new application, data systems are expected to do more with less. Developers often end up writing clunky workarounds just to get databases to r Read more…
Tackling Observability Data Challenges with Honeycomb’s CEO Christine Yen
Honeycomb’s CEO Christine Yen joins the Big Data Debrief to talk about the challenges of observability data and how Honeycomb’s approach is unique in the space. Christine Yen and her Honeycomb co-founder, Charity Read more…
GigaOm Rates the Object Stores
Thanks to their infinite scalability, object stores are the software medium of choice for today’s big data and AI projects. But how do the various object stores compare? GigaOm shed some light on the question with its Read more…
This Big Data Lesson Applies to AI
There’s no shortage of hype when it comes to AI. We’re constantly bombarded with warnings that AI is about to change things forever, and that if we don’t implement AI now, we risk becoming failures. In many ways, t Read more…
Beyond Words: Battle for Semantic Layer Supremacy Heats Up
When it comes to using AI to accelerate BI, practitioners are finding out that semantics really matters. In fact, when you’re using AI to generate SQL to query a database table, knowing exactly what data a particular t Read more…
Can $156M Help Observe Redefine Observability for the AI Era?
The gold rush for AI has created an invisible side effect: an explosion of telemetry data that threatens to overwhelm the very systems built to keep applications running smoothly. Every new service and model generates mo Read more…
Meet Prukalpa Sankar, a 2025 BigDATAwire Person to Watch
Atlan emerged seemingly out of nowhere to become one of the preeminent providers of data catalog solutions. But the path to success for Atlan did not arrive spontaneously, and was the result of hard work and experience o Read more…
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