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Tag: data science

New DataKind CEO Sees More Than Dollar Signs in Data Science

The impact of data science in the private sector often is measured in dollars and cents. If the profits go up and the costs go down, then it’s considered a win. But for Lauren Woodman, the new CEO of DataKind, which pe Read more…

TigerGraph Bolsters Scalability with Graph Database Update

TigerGraph today announced that the latest release of its parallel graph database can be fully controlled with Kubernetes. With version 3.2, the company also added the ability to scale the database up and down as needed, 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…

An Interactive Analytics Whiteboard for COVID Times

COVID has been a boon for remote work and technologies that support it. Zoom, for instance, has more than doubled its stock price. But when it comes to enabling data analysts and data scientists to work together in real 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…

Nvidia’s Enterprise AI Software Now GA

After months in early release, Nvidia today announced the general availability of Nvidia AI Enterprise, a new software offering that’s designed to bring AI capabilities to the masses via VMware’s vSphere. The announc Read more…

What Is Data Science? A Turing Award Winner Shares His View

The phrase “data science” is used every day, including in this very publication. We feel like we have an idea what it is. But what exactly is it? For one answer, we turn to Jeffrey Ullman, who won the Turing Award in Read more…

Automated Data Labeler Snorkel AI Lands $85M in VC Funding

For many enterprises using AI, one of the biggest bottlenecks continues to be the difficulty in getting all their critical data into clearly sorted and labeled groups so it can be used to drive business value. Much of Read more…

We Need to Prepare for Tomorrow’s AI Job Impacts Now

There is a fair bit of uncertainty over the impacts that AI will have on people and their jobs. Multiple future pathways beckon, different eventualities exist, and humans embody the ultimate wildcard: The freedom to choo Read more…

Enterprises Needing Accelerated Data Analytics and AI Workloads Get Help from Nvidia and Cloudera

In April, Nvidia and Cloudera unveiled a new partnership effort to bring together Nvidia GPUs, Apache Spark and the Cloudera Data Platform to help customers vastly accelerate their data analytics and AI workloads in the Read more…

Data Science Needs to Grow Up, Domino Says

Nearly every American executive is leaning on data science to gain a competitive edge and boost profit, according to a newly released survey by Domino Data Lab. But flaws in the people, processes, and tools--not to menti Read more…

Anaconda’s 2021 State of Data Science Report Highlights Support for Open Source, Impacts from COVID-19

Data science platform provider Anaconda has released its 2021 State of Data Science report. From April to May 2021, the researchers surveyed 4,299 respondents from over 140 countries, diving into the changes, trends, and Read more…

JetBrains Unlocks Team Development with On-Prem Data Science Notebook Environment

Data science teams that want to work together in a the Jupter notebook environment but don’t want to run in the cloud may be interested in the new Datalore for Enterprise offering unveiled last week by JetBrains. Da Read more…

Why Data Scientists and ML Engineers Shouldn’t Worry About the Rise of AutoML

Low-code and no-code development tools are becoming increasingly popular, and the pandemic only accelerated this trend. When we think of low-code or no-code development, we’re usually referring to tools that allow a no Read more…

Open Data Hub: A Meta Project for AI/ML Work

Open source software is a critical resource in data science today, but integrating the various open source products together can be a complex task. This is what drove Red Hat to develop Open Data Hub, which brings over t Read more…

AI: It’s Not Just For the Big FAANG Dogs Anymore

It’s been said that AI has a 1% problem, that only the biggest tech firms—the Facebooks, Amazons, Apples, Netflixes, and Googles, or FAANGs, of the world--have the resources required to pull it off.  But thanks to t Read more…

Three Reasons Python Is The AI Lingua Franca

Earlier this year, Python celebrated its 30th anniversary as a programming language. For any software language to last three decades and maintain relevance to developers of all stripes is something special. Much of wh Read more…

Explorium Nets $75 Million to Grow Alternative Data Platform

When your data science initiative hits a wall with commoditized machine learning algorithms, the best solution is often to seek new data, according to Maor Shlomo, the CEO of Explorium, the alternative data platform prov Read more…

Dataiku Gets Closer to Snowflake

Dataiku today revealed that Snowflake has invested an undisclosed amount in the data science platform provider. This comes several months after the two companies rolled out a joint offering that allows Dataiku customers Read more…

ML Scaling Requires Upgraded Data Management Plan

Successful data strategies are built on a foundation of meticulous data management, creating enterprise architectures that “democratize” data access and usage, yielding measurable results from machine learning platfo Read more…

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