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IBM, Microsoft, and Nvidia Pit AI Against Wildfires

IBM, Microsoft, and Nvidia Pit AI Against Wildfires

In 2018, California experienced its worst wildfire season on record, with uncontrolled fires causing unprecedented death and devastation. Read more…

What is Feature Engineering and Why Does It Need To Be Automated?

What is Feature Engineering and Why Does It Need To Be Automated?

Artificial intelligence is becoming more ubiquitous and necessary these days. From preventing fraud, real-time anomaly detection to predicting customer churn, enterprise customers are finding new applications of machine learning (ML) every day. Read more…

Crafting a Hybrid Cloud Backup Strategy

Crafting a Hybrid Cloud Backup Strategy

The rise of the cloud has changed the relationship between companies and their data. With a wide mix of applications and data in the cloud, on premise, and in between, keeping track of everything can become a giant chore. Read more…

A Race Against Time to Model COVID-19

A Race Against Time to Model COVID-19

As the United States braces for a potentially debilitating wave of COVID-19 patients over the next few weeks, the race is on to gather as much data about the spread of the virus, model its impact, and enact successful policies to minimize the number of people who will die. Read more…

Center Stage

Making Use of the Explosion of Data Available to Organizations with Self-Service Data Preparation

We’ve seen a monumental shift in the way we collect, store, process and analyze data. The first video in Trifacta’s new series The Data School with Professor Joe Hellerstein, looks at the why…

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Datanami Headlines

Collibra Announces $112.5 Million Funding Round, $2.3 Billion Valuation

Collibra, a data governance company headquartered in New York City and Brussels, has announced completion of a $112.5 million funding round. The additional funding leaves Collibra with a $2.3 billion valuation. The round was led by ICONIQ Capital, Index Ventures, and Durable Capital Partners LP. Read more…

Cortex, a Prometheus Spinoff, Boosts Data Monitoring

An open source monitoring system released this week by Grafana Labs is compatible with and inspired by the de facto standard Prometheus machine data storage and monitoring platform for cloud-native deployments.

Grafana Labs help launch development of the Cortex monitoring system in 2016, graduating to a Cloud Native Computing Foundation (CNCF) “sandbox” project in 2018. Read more…

COVID-19 Spurs Offers for Free Software, Data, and Training

Amid the daily crush of dreary news about the global viral pandemic, there is this ray of relative sunshine: Big data and analytic software vendors are offering free access to their software, data, and services.  Read more…

NOAA Expands its Data Drone Fleet

As it ramps up a national AI strategy, the U.S. government is beefing up its drone fleet to collect ever-greater amounts of environmental data.

The U.S. National Oceanic and Atmospheric Administration (NOAA) said this week it will use new funding to launch its Unmanned Systems Operations Program. Read more…

Cloud DB Combines Kubernetes with Open Middleware

A database service built on the Kubernetes cluster orchestrator takes a multi-cloud approach that allows a master database to run in one cloud while replicated instances are distributed across other cloud services using emerging open source middleware. Read more…

Where’s Your Data Now? Thoughts on World Backup Day

We’ll excuse you if you forgot that today is World Backup Day. You probably have a lot on your plate already. But we’d be remiss if we neglected to mark the occasion and discuss how companies can protect their most important asset: Read more…

DarwinAI Unleashes COVID-Net

COVID-19 has gripped the world for the past month as it brought global industries to a screeching halt and overwhelmed healthcare systems. From AI and big data to supercomputing, tech has been fighting back by leveraging complex data analysis to aid in diagnosis, epidemiology and treatment. Read more…

Coursera’s (Machine) Learning Advantage

When Stanford University computer science professors Daphne Koller and Andrew Ng founded Coursera back in 2012, the mission was relatively simple: Use the Internet to massively expand the reach of educational content. That radical idea blossomed, and today Coursera works with 50 million people, which of course gives the online learning platform a tremendous amount of data to learn from. Read more…

Dremio Preps for Growth with $70M in the Bank

In the midst of an unprecedented viral pandemic and the threat of a major economic recession, data middleman Dremio provided the rare bit of good news when it announced today that it raised $70 million in venture capital to fund its ongoing growth. Read more…

How Data Science Is Fighting the Flint Water Crisis

The Flint water crisis is one of the defining environmental crises of our era. Headlines describing poisoned children across one of America’s classic manufacturing cities seized the country’s attention, forcing policy-makers to confront the issue at a high level (and even featuring in two presidential debates in 2016). Read more…

As COVID-19 Upends Life, Internet Apps Struggle with Load

Large swaths of the world’s population have been locked down in an unprecedented attempt to slow the spread of the novel coronavirus. People have responded by working, playing, and learning from home through telecommuting and distance learning applications, which has triggered an unparalleled surge in Internet traffic in recent days. Read more…

Data Scientists Predict COVID-19’s Urban Impact

How will COVID-19 impact vulnerable populations, like the elderly and folks with preexisting conditions? The folks at RS-21, a data science consultancy based in New Mexico, assembled relevant data sets into an interactive map that allows users to explore where the most vulnerable among us live across 13 American cities. Read more…

‘Inclusive’ Approach Seen as Key to Trusted AI

Trustworthy AI for enterprise applications remains elusive, frequently due to poor-quality or siloed data. The result is little confidence in early AI deployments, a vendor survey found.

Dataiku, the enterprise AI platform specialist, used the results its survey of about 400 data scientists, analysts and AI application users to make the case for “inclusive AI.” That approach not only democratizes data but improves quality and, with it, the potential for scaling AI projects into application users’ trust. Read more…


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