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Tag: machine learning

Investment in Machine Learning Keeps Growing, DataRobot Finds

After years of double-digit growth in machine learning investments, nearly 90% of companies grew their machine learning budgets again from 2020 to 2021, according to a survey from DataRobot, which also documented the top Read more…

College Teams Closely Watching How Pro Teams Adopt Analytics

Professional sports teams have been taking advantage of an array of analytics and AI techniques for some time. Now that the technology and applications are becoming more well understood, college athletics are starting to Read more…

Data Dashboarding Must Evolve or Face Irrelevance

Data visualization has become synonymous with business intelligence (BI) data dashboarding. But these dashboards have a weakness: They are only as good as the humans--and AI--that interpret it. For businesses to truly Read more…

ML for Security Is Dead. Long Live ML for Security

When it comes to staying on top of security threats, machine learning, unquestionably, must be part of the equation. The volume of data is simply too great to cope without it. But as it’s currently being used, ML may b Read more…

Google Cloud Widens Its Big Data Reach at Next ’21

Google Cloud kicked off its Next ‘21 conference today with a torrent of news impacting a wide swath of its big data, advanced analytics, and AI offerings, including the unveiling of Google Distributed Cloud, a new data Read more…

We’re In the Moneyball 3.0 Era. Here’s What It Means for Live Sports

When Oakland A’s General Manager Billy Beane adopted Sabermetrics with his 2002 and 2003 teams, he popularized what became known as the Moneyball 1.0 era. Eighteen years later, we’re firmly on the cusp of Moneyball 3 Read more…

Feature Stores Emerging as Must-Have Tech for Machine Learning

Machine learning may be eating software, but it looks as though feature stores may be eating machine learning. In the rush to develop and roll machine learning applications into production, organizations are finding feat Read more…

Fake Data Comes to the Forefront

The lack of data historically has been a limiting factor in the development of predictive models. But with the advent of automated methods to generate skads of synthetic data, or what some call “fake data,” the lack Read more…

Bloomberg Releases Its Inner Quant as Enterprise Cloud Service

After reaching the limits of MATLAB, a group of quantitative analysts at Bloomberg set out to develop a new system for building and exploring machine learning models. That effort eventually turned into BQuant, a Python-b Read more…

Data Fingerprinting: An Innovative Lean AI Approach for Startups

Technology startups have immense pressure to embrace machine learning and AI in order to stay relevant in their business. Machine learning, if implemented well, can have a direct impact on a startup’s ability to grow a Read more…

Sisu Nabs $62M to Grow Data Analytics Biz

Sisu Data, a spin-off of a Stanford DAWN project that’s bringing AI to bear on the “combinatorial explosion” of deciding which data variables to track, today announced that’s raised $62 million in a Series C roun Read more…

HPE Adds Lakehouse to GreenLake, Targets Databricks

Imitation may be the sincerest form of flattery. But if you’re Databricks, you might not be too flattered by HPE, which today announced Ezmeral Unified Analytics, a new lakehouse offering based on Spark and Databricks Read more…

Logistics Operators Look to Data, Technology for Advantage

Things are bit of a mess when it comes to logistics at the moment. We’re still feeling the ripple effects from the COVID-induced economic shutdown in early 2020, and a critical worker shortage here in the United States Read more…

One on One with Google Cloud Product Director Irina Farooq

In May, Google Cloud announced Dataplex, its entry into the world of data fabrics. Datanami recently caught up with Irina Farooq, who joined Google Cloud as director of product management of smart analytics at Google Clo Read more…

In Homomorphic Encryption We (Must) Trust

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…

Hands-Off: Manual Data Integration Tasks Plummeting, Gartner Says

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…

Unlocking the True Potential of ML: How Self-Supervised Learning in Language Can Beat Human Performance

A core goal for many organizations using artificial intelligence (AI) systems is to have them mirror human language and intelligence. However, mimicking human language and mastering its unique complexities continues to b Read more…

Analytics and AI Not Being Fully Utilized for Audits and Compliance Investigations: Report

While there is an increase in the number of investigations companies are conducting in the areas of employee conduct, regulatory compliance, security, and privacy, companies by and large are not making full use of the ad Read more…

Shrinking the Education Gap in Data Science

There’s a growing mismatch between the growth of data and the growth of data skills and knowledge. The former is increasing at a healthy rate, while the latter is struggling to keep up. One outfit that’s hoping to c Read more…

Can Apple Right its Privacy and Security Cart?

For years, Apple was hailed as the company that “got” security and privacy. After all, it allowed users to engage in conversations protected by encryption, end-to-end, and rebuffed US Government requests to unlock iP Read more…

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