artificial intelligence
|
Data Means Nothing if You Don’t Know How to Use, Analyze, and Interpret It Simply having data stowed away and ready to use when needed is great and all, but if you don’t have a smart strategy for how to not only analyze and interpret it, but also put it to proper use, then you may end up creating a connected ecosystem without a real purpose. |
|
|
Expanding AI for Earth in 2018 In an ambitious undertaking, Microsoft is pledging $50 million over the next five years to expand Microsoft’s AI for Earth program and put artificial intelligence technology in the hands of individuals and organizations around the world who are working to protect our planet. |
|
|
Artificial Intelligence Only Works alongside Skilled Testers If you look at artificial intelligence (AI) as the next big tool that can take your testing over the top rather than an inevitable replacement, the future of the profession becomes much brighter. Testing is changing, but for the foreseeable future, real testers still need to be closely involved. |
|
|
Google and Microsoft Expand Artificial Intelligence Research Artificial intelligence (AI) is getting smarter, but there’s still a lot to learn about this growing field. To that end, several tech giants recently announced programs to help take AI and machine learning from the nascent stage of development to solving sophisticated challenges across virtually every industry. |
|
|
Building Collaborative AI by Catching Minecraft Pigs For artificial intelligence (AI) to become useful in our everyday lives, AI must have the ability to work with other agents and humans in order to function in complex environments. At Microsoft, one AI research approach involves creepers, endermen, zombies, skeletons, Iron Golems and, yes, those pigs. |
|
|
Keeping Your Software Testing Abilities Relevant Today, Tomorrow, and BeyondDevelopment and product teams have embraced agile and DevOps. What can testers do to keep up with their development peers? Here are some ideas about what testers can learn, what skills we can add, and what processes we can start doing in order to continue delivering quality today, tomorrow, and further into the future. |
|
|
Training and Tomorrow’s Jobs Reports vary in predictions about what parts of the workforce will be most affected by automation. How far-fetched is the idea that significant numbers of technology jobs will become irrelevant? How can training and education programs better prepare us for the future? |
|
|
Think Differently about the Future of Software TestingArtificial intelligence is not here to replace human testers. Looking into a crystal ball, testing still looks promising for real people. The trick is that humans will need to learn to coexist with these testing bots. Here are some ways we can start to think differently about the future of testing. |
|