Artificial intelligence and analytics

Artificial intelligence technologies such as machine learning underpin the advanced analytics tools many large companies rely on for a competitive edge. As AI becomes pervasive, a wider range of companies will have access to Artificial intelligence tools to aid business decisions. Get the best news and information on artificial intelligence and analytics including AI tools, tips and more.

March 31, 2021 31 Mar'21
ThoughtSpot makes first acquisition, buys SeekWell

ThoughtSpot reached an agreement to acquire SeekWell on Wednesday, a move that will enable the analytics vendor to deliver insights to users in their workflows via SQL.
March 25, 2021 25 Mar'21
Domo analytics suite focused on usability

The Domo BI platform is aimed at enabling users of all skill levels. New and planned features stick with that easy-to-use approach, chief business officer Jay Heglar says.
March 24, 2021 24 Mar'21
Domo update adds embedded analytics, multi-cloud capabilities

The latest platform update from Domo includes enhanced embedded BI, AI and multi-cloud capabilities. The features were unveiled during the vendor's virtual user conference.
March 23, 2021 23 Mar'21
Tableau releases first integration with Einstein Analytics

AI and machine learning capabilities developed by Salesforce are now available in Tableau, marking the first integration between the vendors since the CRM giant acquired Tableau.

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Weigh the pros and cons of technologies, products and projects you are considering.

Collaborative analytics benefits enterprise data analysis

Sometimes, having more eyes on a problem can help solve it a little bit faster. Experts talk about the enterprise benefits of implementing collaborative analytics. Continue Reading
Decision intelligence software boosted by analytics, AI

Enterprise adoption of decision intelligence is projected to grow in the next few years. Find out how analytics and AI support decision modeling and how organizations are using it. Continue Reading
Data science vs. machine learning vs. AI: How they work together

Data science, machine learning and AI are central to analytics and other enterprise uses. Here's what each involves and how combining them benefits organizations. Continue Reading

Learn to apply best practices and optimize your operations.

How to build a machine learning model in 7 steps

Building a viable, reliable and agile machine learning model that streamlines operations and bolsters business planning takes patience, preparation and perseverance. Continue Reading
The data science process: 6 key steps on analytics applications

The data science process includes a set of steps that data scientists take to gather, prepare and analyze data and present the analytics results to business users. Continue Reading
8 types of bias in data analysis and how to avoid them

Analytics can exhibit biases that affect the bottom line or incite social outrage through discrimination. It's important to address those biases before problems arise. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

How to create a data set for machine learning with limited data

A shortage of data for machine learning training sets can halt a company's AI development in its tracks. Turning to external sources and hidden data can solve the problem. Continue Reading
The threats of AI must be taken seriously to prevent harm

The risks of AI use are growing as the technology becomes more pervasive. Rather than laugh off the threats, businesses should move to mitigate them before they become headaches. Continue Reading
Combination of blockchain and AI makes models more transparent

Blockchain technology could play an important role in helping enterprises develop more explainable AI applications, something that is frequently lacking today. Continue Reading