Founded in 2018, San Francisco-based Digits Financial combines machine learning and analytics to give businesses insights into their transactions, automatically identifying patterns, classifying data, and detecting anoma Read more…
O’Reilly this week published the results of its salary survey, which showed the average salary for AI and data professionals in the U.S. and the U.K. was $146,000 per year. While that’s certainly more than many jobs, Read more…
ETL vendor Matillion is riding high today after unveiling another nine-digit round of funding, this one a $150 million Series E round to go along with the $100 million Series D round earlier this year. Flush with capital Read more…
Around the year 2017, something funny happened: People no longer talked as much about big data. Indeed, Gartner had already dropped “big data” off its hype curve. Read more…
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
LinkedIn last week open sourced DynoYARN, a key piece of technology that allows it to predict how appliacation performance will be impacted as it scales Hadoop to gargantuan proportions, including one 10,000-node cluster Read more…
Getting the software right is important when developing machine learning models, such as recommendation or classification systems. But at eBay, optimizing the software to run on a particular piece of hardware using disti Read more…
SingleStore has announced a successful Series F funding round, netting $80 million in primary capital funding. The database firm, which offers both managed cloud database services and database software, has now raised a Read more…
Companies are well underway populating data lakes, deploying analytics platforms and experimenting with AI and machine learning as part of a universal push towards data-driven business. Yet with a plethora of data and to Read more…
The average American consumes over 58 pounds of beef and 141 pounds of milk per year, but cattle farming is a deeply resource-intensive process with significant impacts on land use and carbon emissions – so any gains i Read more…
The modern data stack is many things to many people. It’s multi-cloud! It’s the data mesh! It’s BI plus AI! To get a better visibility into just what the modern data stack is, how it’s evolving, and why it all ma Read more…
The COVID-19 pandemic has changed many things about the way we work. One of those appears to be our use of analytics, which has increased at 89% of companies recently surveyed by ManageEngine. Improved decision-making Read more…
Summer is nearly over, but there's still time to crack open a beer and enjoy a backyard barbecue. Some people enjoy building their own smokers, or fermenting their own beer as I do. To make sure your ribs cook to perfect Read more…
IBM today introduced the Power E1080 server, its first system powered by a Power10 IBM microprocessor. The new system reinforces IBM’s emphasis on hybrid cloud markets and the new chip beefs up its inference capabiliti Read more…
As companies store more unstructured data, companies find that it’s taking an ever-bigger cut of the IT budget. That is forcing some firms widen the search for solutions that can help them better manage it, according t Read more…
The creators of the table format Apache Iceberg launched a new company this summer called Tabular that’s aiming to remake how companies store data in the cloud. If the company has its way, much of the minutia of how da Read more…
Just as we were on the cusp of achieving god-like powers with advanced analytics and machine learning on large pools of data, along come privacy laws like GDPR and CCPA to kill the buzz. But thanks to the emergence of ho Read more…
Homomorphic encryption provides two extraordinary benefits: first, it has the potential to be secure against intrusion by even quantum computers; second, it allows users to use the data for computation without necessitat Read more…
While the need to integrate data has never been greater, the addition of machine learning and other forms of automation is driving a large reduction in the amount of manual data management tasks that human workers are re Read more…
