Traders Magazine • January 2020

AI In 2020: Industry Predictions from DataRobot

It’s a new year and a new decade, so we’re tapping into the minds of some of our leading industry experts and general managers (GMs) to find out what big trends they see emerging in the coming months.

The Financial Brand • July 2017

The Power of Self-Service Data Analytics in Financial Services

To build loyalty, confidence and excellent customer care, banks must recognize changing habits and preferences to adjust their product and service mix to meet consumers’ needs.

IDG Connect • April 2017

What awaits discovery within 'dark data'?

The rise of social data, IoT, machine learning, and connected devices has introduced a seemingly unlimited supply of unstructured data. What does this mean in the world of data analytics and business intelligence?

Talk Business • June 2016

People power: Harnessing data analytics in the HR department

While data analytics isn’t new to the HR department, it’s only recently that the idea of using data to make decisions about people, rather than relying on subjective assessments, has begun to gain significant traction.

Habu • December 2023

Habu is a Leader in the IDC MarketScape for Data Clean Rooms

See why IDC has recognized Habu as a Leader in the 2023-2024 IDC MarketScape for Worldwide Data Clean Room Technology for Advertising and Marketing Use Cases.

Habu • May 2023

Habu integrates with Azure Confidential Computing (ACC)

Habu uses confidential computing to enable secure and private data analysis across multiple parties. Learn how it unlocks insights from sensitive data without sacrificing security, privacy, or performance.

Domino Data Lab • October 2022

Domino 5.3 Increases the Speed and Impact of Enterprise Data Science

Domino 5.3 boosts the speed and impact of enterprise data science, uniting hybrid and multi-cloud infrastructure to democratize data sources and fuel deep learning.

Domino Data Lab • June 2021

Domino 4.4 Liberates Data Scientists to Maximize Productivity

Get the details about Durable Workspaces, CodeSync, and other breakthroughs that liberate data scientists to work the way they want, with self-serve access to the tools and data they need.

Domino Data Lab • March 2021

Domino Delivers 542% ROI and Payback within 6 Months

Forrester recently conducted detailed interviews with several Domino customers to understand how they’re using our platform and gain insight into the benefits they’re receiving. Here's what they had to say.

Domino Data Lab • February 2021

A Model-driven Culture is Crucial for Data Science Success

We've partnered with DataIQ to survey data and analytics professionals to understand how some of the world’s largest companies are tackling data science.

Domino Data Lab • November 2020

Data Scientist: Still the “Sexiest Job of the 21st Century”?

Does the lack of data scientists that Harvard Business Review predicted eight years ago still hold true? Or, have technology advances and changes in the business environment given companies more opportunities to build a data science team at scale?

Domino Data Lab • November 2020

Why Kubernetes is Great for Data Science Workloads

Kubernetes is essential to IT departments as they move towards containerized applications and microservices. Data scientists can make their modeling portable and reproducible, and massively scale containerized machine learning models.

Domino Data Lab • August 2020

Considerations for Using Spark in Your Data Science Stack

Apache Spark is a framework and set of libraries for parallel data processing. But is it the right technology for your data science needs?

DataRobot • March 2018

Gartner Attendees rate “Augmented Data Science” as transformational

At Gartner’s North American analytics conference, the message was clear – “augmented analytics” marks the next wave of disruption in the data and analytics market.