New Intel CEO Lip-Bu Tan Promises Return to Engineering Innovation in Major Address
In his first major address since taking over the CEO job at Intel, Lip-Bu Tan explained why he took the job, recounted the challenge that Intel faces, and detailed how he’ll work to turn the chipmaker around. Tan co Read more…
Big Data Career Notes for March 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…
Global Leaders to Gather for the Inaugural International Data Science and AI Leadership Summit in Paris
As artificial intelligence (AI) continues to reshape the way industries operate and societies evolve, strong leadership has never been more crucial. Beyond developing advanced technologies, the real challenge lies in gui Read more…
Prophecy 4.0 Offers Fully Governed Self-Service Data Prep for Databricks SQL
In 2024, data integration company Prophecy unveiled its AI Copilot for Databricks, marking a significant step forward in data transformation. Leveraging the power of GenAI, the tool enabled business users and analysts to Read more…
What Benchmarks Say About Agentic AI’s Coding Potential
Last week’s GTC 2025 show may have been agentic AI’s breakout moment, but the core technology behind it has been quietly improving behind the scenes. That progress is being tracked across a series of coding benchmark Read more…
Grafana’s Annual Report Uncovers Key Insights into the Future of Observability
The architecture of modern systems has reached a tipping point where observability is no longer optional, it's become existential. With advancements in Kubernetes and OpenTelemetry reshaping operational strategies, organ Read more…
New Benchmark for Real-Time Analytics Released by Timescale
Real-time analytics pushes the limits on data that distributed hardware and software can deliver. To adequately measure the relative performance of real-time analytics databases, Timescale today released a real-time anal Read more…
Tapping into the Unstructured Data Goldmine for Enterprise in 2025
Companies are overwhelmed by data. A majority of organizations (64%) manage at least one petabyte (PB) of data, while 41% surpassing that with at least 500 PBs of data, according to the AI & Information Management Re Read more…
Apache Pinot Co-Author Joins the Big Data Debrief
You might know LinkedIn as the place where Apache Kafka was created to standardize streaming data. But there are other compelling open source projects to come out of the company, including Apache Pinot, which was designe Read more…
Accelerating Agentic AI Productivity with Enterprise Frameworks
As the AI wave starts to crest, companies are looking for ways to help accelerate their AI projects before the wave washes over them. One of the ways companies can get ahead is by adopting tools and frameworks upon which Read more…
Defending Against AI-Powered Deepfakes
Thanks to AI’s nonstop improvement, it’s becoming difficult for humans to spot deepfakes in a reliable manner. This poses a serious problem for any form of authentication that relies on images of the trusted individu Read more…
Airbyte Expands Platform With Iceberg Support, Enterprise Connectors, and More
Organizations face the challenge of leveraging AI while maintaining control over sensitive information, such as strategic metrics or customer data. Understandably, this challenge often leads to hesitation about shar Read more…
Reporter’s Notebook: AI Hype and Glory at Nvidia GTC 2025
Today marks the end of Nvidia's GPU Technology Conference (GTC) 2025, a weeklong event in San Jose, California that be remembered for a long time, if not for the content of the presentations than for the sheer spectacle Read more…
NVIDIA Pushes Boundaries of Apache Spark With RAPIDS and Project Aether
Apache Spark is one of the most widely used tools in the big data space. It excels at processing massive datasets for predictive modeling, fraud detection, and real-time analytics. As the demand for processing and unders Read more…
Can You Afford to Run Agentic AI in the Cloud?
The emergence of agentic AI is putting fresh pressure on the infrastructure layer. If Nvidia CEO Jensen Huang is correct in his assumptions, demand for accelerated compute will increase by 100x as enterprises deploy AI a Read more…
Four Obstacles to Enterprise-Scale Generative AI
The road to enterprise-scale adoption of generative AI remains difficult as businesses scramble to harness its potential. Those who have moved forward with generative AI have realized a variety of business improvements. Read more…
The Rise of Intelligent Machines: Nvidia Accelerates Physical AI Progress
The boundaries between artificial intelligence and the physical world are dissolving. AI systems are becoming increasingly adept at perceiving, interacting, analyzing, and responding to their physical environments. Read more…
Nvidia Preps for 100x Surge in Inference Workloads, Thanks to Reasoning AI Agents
The emergence of agentic AI powered by reasoning models will have a transformative effect on the computer industry, not just on how we write and run software, but how we build entire data centers, Nvidia CEO Jensen Huang Read more…
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