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Datanami
12.08.2025
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
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
Challenge MHC’s NorthStar document automation platform serves more than 1,000 customers across various industries, including financial services,
09.08.2025
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
Running mission-critical applications across multiple regions is rarely straightforward. Data must be kept close to end users to avoid latency,
08.08.2025
Cloudera bolstered its hybrid cloud and multi-cloud chops today with the acquisition of Taikun, a Czech Republic-based developer of software for managing
The world of cybersecurity is extremely dynamic and changes on a weekly basis. With that said, the advent of generative and agentic AI is accelerating the
Apache Spark remains one of the most widely used engines for large-scale data processing, but it was built in an era when cloud infrastructure was mostly
The shift toward agentic AI has been gaining momentum across the enterprise world. AI agents are no longer just research demos or product experiments;
The European Union’s AI Act hit another stage of enforcement over the weekend that will impact how companies can build and implement AI systems that
How will AI impact science? Nobody knows the full answer to that question, but last week’s Trillion Parameter Consortium conference, dubbed TPC25,
The smoke is still clearing from OpenAI’s big GPT-5 launch today, but the verdict is starting to come in on the company’s other big announcement this
Enterprise AI adoption is accelerating but many organizations are discovering a harsh reality: AI is only as good as the data it’s fed. More specifically,
02.08.2025
Many of the advances in AI recently have come from the private sector, specifically the handful of giant tech firms with the resources and expertise to
What frontier technologies should businesses look to for competitive advantage in 2025? One place to look is the management and consulting firm
01.08.2025
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
Apache Kafka has become the foundation for real-time data pipelines across industries. From processing financial transactions to tracking IoT sensor data,
30.07.2025
Snowflake today announced the public preview of Snowpark Connect for Apache Spark, a new offering that allows customers to run their existing Apache Spark
Many organizations would like to get a better handle on their unstructured data in pursuit of an AI initiative. One promising startup pursuing that goal
29.07.2025
When Cloudflare reached the limits of what its existing ELT tool could do, the company had a decision to make. It could try and find a an existing ELT
When the Trillion Parameter Consortium holds its 2025 all‑hands conference and exhibition, TPC25, in San Jose on July 28–31, computational scientists,
U.S.-China tariffs may be on pause, but the pressure on supply chains isn’t going anywhere. For supply chain and procurement professionals, the result is
The DNA Storage Alliance, which is part of the SNIA community, last month released a technical whitepaper detailing the progress so far in creating DNA
Millions of workers in the U.S. say they want to reskill in AI. Nearly 47 million white-collar professionals plan to start learning within the next six
Artificial Intelligence is a $279 billion industry, with tech companies pouring more and more capital into it every day. The fledgling technology now
Unstructured data makes up over 90% of the enterprise data estate, yet most of it goes untapped. It sits in PDFs, contracts, emails, and meeting
Harnessing emerging technology like AI to advance the public good is not easy, and requires the work of countless individuals working together. One of the
The shift from experimental AI prototypes to real-world, integrated systems is exposing a critical gap in enterprise data infrastructure: context. As
If you’re a recent college graduate, the number of jobs available to you may be lower than you would have expected just a few years ago, thanks to
16.07.2025
In the world of monitoring software, how you process telemetry data can significantly impact your ability to derive insights, troubleshoot issues, and
15.07.2025
For years, enterprises have viewed data lakes like you would your attic, jam-packed with "just in case" stuff. These vast storage silos have simply been
The GenAI race isn’t just about adoption, which tends to get alot of attention. It’s also about aligning capabilities with ambition. Organizations have
12.07.2025
As cloud storage costs quietly drain enterprise budgets, most solutions still require too much effort and cost for too little return. Misaligned capacity
Feeling pretty good about your contributions to big data? Then you should probably get to know Andy Konwinski, whose resume in the space is unparalleled
11.07.2025
Over the past decade, companies like Snowflake, Databricks, Microsoft, and Google have made it easier for enterprises to store, process, and analyze data
As the fifth most popular website on the Internet, keeping Wikipedia running smoothly is no small feat. The free encyclopedia hosts more than 65 million
10.07.2025
Where I live in Bend, Oregon, the biggest challenge often used to be deciding which hiking trail to conquer. These days, a new, more existential question
09.07.2025
Graph databases are emerging as a key piece of the data stack for developing and running generative AI applications. To that end, Graphwise today took the
IBM today rolled out its Power11 line of servers, the first new generation of IBM Power servers since 2021. The new servers offer an incremental
The narrative that "data modeling is dead" has gained momentum in recent years. The rise of AI, especially large language models (LLMs), seems to demand