Hence, using machine learning for big data analytics happens to be a logical step for companies to maximize the potential of big data adoption.

Cyber threats are continually evolving today, making the big data and machine learning parts of your cybersecurity strategy even more necessary than in the past.

An emerging wave of “Insurtech” solutions companies are seeking to transform the business of insurance through the introduction of Big Data, Machine Learning, and AI capabilities.

Are your big data and machine learning systems putting too much stress on resources? Adding GPU processing power might solve your big data performance problems.

How can GPUs and FPGAs help with data-intensive tasks such as operations, analytics, and machine learning, and what are the options?

Machine learning algorithms work best with more and more data, so moving data between clusters becomes an inhibiting factor in trying to increase the accuracy of machine learning algorithms.

Machine learning may help manage and organize enterprise systems -- with their "highly complex interactions between systems and components, complex data access patterns and relationships." ...

There’s a big problem faced by many organizations that are trying to unlock the promise of machine learning and artificial intelligence. The process of building and using machine learning architecture ...

Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning Lefteri H. Tsoukalas McGraw Hill October 2023 This hands-on guide offers clear explanations of fuzzy logic along… ...

Big data is overwhelming nearly every field of science. But in order to handle it, we will also need to make advancements in how we process this data deluge. As computers approach the limits of ...