The Business Guide to Machine Learning
Machine Learning (ML) algorithms are embedded in the fabric of much of the technology we use every day. ML innovations spanning computer vision, deep learning,
Machine Learning (ML) algorithms are embedded in the fabric of much of the technology we use every day. ML innovations spanning computer vision, deep learning,
Artificial intelligence is a reality today and it is impacting our lives faster than we can imagine. It is already present everywhere, from Siri in
Optimizing applications for the sprawl we call the Internet of Things is a daunting challenge. To craft high-performance IoT apps, developers need a federated environment
Fashion retailers are increasingly turning to data analytics to keep up with the latest trends and client demands. As well as having to meet the
For today’s data scientists and data engineers, the data lake is a concept that is both intriguing and often misunderstood. While there are many good
Relatively few healthcare organizations have the resources or analytics maturity to develop their own intricate big data analytics infrastructure from scratch, but a growing number
Every business, be it a start-up or a well-established organisation, has experienced growing pains. Managing the growth of the business – facing the pressures of
When it comes to adoption of cognitive technology, some of the leading companies are progressing rapidly from the pilot project phase to the production application
As Matt Asay observed last week, AI appears to be reaching “peak ludicrous mode,” with almost every software vendor laying claim to today’s most hyped
IDC sees widespread adoption of cognitive systems and artificial intelligence (AI) across a broad range of industries will drive worldwide revenues from nearly $8.0 billion
By leading efforts to create an analytics culture throughout the enterprise, CIOs can help maximize analytics ROI and operationalize fact-based decision-making. With data-driven insights informing
Expectations are set for you and your department. You have to go far beyond a traditional support role and directly contribute to the strategic objectives