Pattern recognition and machine learning

Working with pattern recognition and machine learning platforms allows organizations to extract information from big data. This core AI technology can be tricky, but extremely beneficial for enterprises. Read about machine learning best practices and techniques to uncover valuable predictive insights.

May 25, 2021 25 May'21
Affectiva emotion AI vendor latest in AI acquisition wave

Amid a surging market for AI technology, Smart Eye, a vendor of AI-based eye tracking and driver tracking systems, acquires a vendor of emotion-sensing AI software.
August 17, 2020 17 Aug'20
Does technology increase the problem of racism and discrimination?

According to a publication from the MIT Technology Review, technology promotes racism. Most facial recognition algorithms discriminate against the Black population. And even certain concepts or technological terminology tend to be offensive, ...
January 06, 2020 06 Jan'20
U.S. restricts exports of geospatial AI software

The Trump administration's move to limit export of AI-based geospatial imaging software extends U.S. restrictions on technology that foreign countries could use to develop weapons systems.
October 30, 2019 30 Oct'19
The importance of AI for fraud prevention

As fraudsters become increasingly more professional and technologically advanced, financial organizations need to rely on products that use AI for to prevent fraud.

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artificial intelligence

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. Continue Reading
narrow AI (weak AI)

Narrow AI is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose. Continue Reading
How do big data and AI work together?

Enterprises are leaning on big data to train AI algorithms and, in turn, are using AI to understand big data. The results are pushing operations forward. Continue Reading

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

The top 5 benefits of AI in banking and finance

The strategic deployment of AI in banking and finance can bring substantial benefits. Learn about how AI tools are transforming financial services and the risks to be mindful of. Continue Reading
Top 9 types of machine learning algorithms, with cheat sheet

Machine learning can assist enterprises by quickly modeling large data sets. Choosing the right algorithm depends on the desired outcome and the makeup of your data science team. Continue Reading
In-depth guide to machine learning in the enterprise

Enterprises are adopting machine learning technologies at rapid rates. In this machine learning guide, we break down what you need to know about this transformative technology. 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
Machine learning and bias concerns weigh on data scientists

Data scientists are forever vigilant in their desire to identify and eliminate the many forms of bias that can compromise the credibility of machine learning models. Continue Reading
Responsible AI champions human-centric machine learning

Encompassing ethics, transparency and human centricity, responsible AI is an effective approach to deploying machine learning models and achieving actionable insights. Continue Reading

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

Data science's ongoing battle to quell bias in machine learning

Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading
Brands must allay worries for AI in transportation to take hold

The personal mobility market is turning to emotional analysis and AI to negate fear and trepidation around emerging vehicle technology and the future of transportation. Continue Reading
Collaborative robots' safety stalls enterprise implementation

Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk. Continue Reading