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.

October 14, 2021 14 Oct'21
MLB Statcast delivering real-time insights with Google Cloud

With Google Cloud to process and transform data collected during games by its tracking technology, Major League Baseball is delivering real-time insights to both fans and teams.
October 07, 2021 07 Oct'21
Alteryx acquisition of Hyper Anna adds AI capabilities

The data management vendor has acquired Hyper Anna, an Australian startup, to add automated augmented intelligence capabilities to its data management and analytics platform.
October 05, 2021 05 Oct'21
Gartner predicts exponential growth of graph technology

As both organizations and their databases struggle to manage growing amounts of data, experts see dramatic growth in the use of graph databases by 2025.
October 01, 2021 01 Oct'21
Qlik acquisition of Big Squid adds autoML capabilities

Qlik has acquired Big Squid to add automated machine learning capabilities to its platform. In addition, the analytics vendor recently unveiled a new automated workflow tool.

Bring yourself up to speed with our introductory content

14 most in-demand data science skills you need to succeed

The demand for data scientists continues to grow, but the job requires a combination of technical and soft skills. Here are 14 key skills for effective data scientists. Continue Reading
Network observability vs. monitoring: What's the difference?

Traditional network monitoring is useful for collecting data about network issues. But network observability can add further insights into network health and end-user experience. Continue Reading
Top 5 benefits of augmented analytics

Learn how augmented analytics helps make companies more agile by expanding employee access to data and speeding the decision-making process -- all while saving costs. Continue Reading

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

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
8 top data science applications and use cases for businesses

Data scientists engage in various applications to analyze data and create technologies. These are eight common ones, with examples from different organizations and industries. Continue Reading
What is data science? The ultimate guide

Data science is the process of using advanced analytics techniques and scientific principles to analyze data and extract valuable information for business decision-making, strategic planning and other uses. Continue Reading

Learn to apply best practices and optimize your operations.

How augmented analytics in healthcare improves patient outcomes

High quality data has become essential to quality healthcare. Explore how augmented analytics is aiding healthcare organizations' efforts to provide better care for patients. Continue Reading
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

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