Technology Industry

Why today’s real-time economy needs machine learning

The combined power of machine learning and artificial intelligence enable industries to process, analyze, and act on data in real time

Big data + AI: Context, trust, and other key secrets to success

Machine learning can supercharge data analysis and spur innovation, but it lacks the business context to make optimal decisions every time

Retail and e-commerce: digital transformation and what it means for software QA

Those that are successful in deploying resources into software testing at the right time and place will win the race towards higher quality systems that keep customers coming back

ML Kit: Google brings machine learning APIs to mobile developers

The beta machine learning kit supports iOS and Android apps via the Firebase IDE and with TensorFlow Lite support

Turn the tables on your financial risk: How to decide which workloads are right for the public cloud

Real-time AI gets closer with Project Brainwave

Microsoft’s Project Brainwave extends Azure ML to datacenter and network hardware, to bring the machine learning processing where the data is

Java will no longer have ‘major’ releases

The twice-yearly Java releases will get new version numbers, but they won’t have the degree of change that whole version numbers have historically indicated

Java will no longer have ‘major’ releases

The twice-yearly Java releases will get new version numbers, but they won’t have the degree of change that whole version numbers have historically indicated

A lesson on today’s AI for the masses

When it comes to off-the-shelf artificial intelligence solutions, the more things change, the more they stay the same

The new data roles, brought to you by AI

AI is creating these new data roles that companies are desperate to fill