Robot overlords are the stuff of science fiction fantasy. Today, with more teams implementing artificial intelligence (AI), DevOps teams need a hard, continuous look at reality. An AI overseer watching apps at work could make the difference between sadness and euphoria in your efforts. We’re seeing AI misses more and more often. Facebook recently admitted […]
NASA/JPL Tech-Incubation CEO Talks Artificial Intelligence, Part II
This is the second installment of a two-part Q&A series on artificial intelligence (AI) with AJ Abdallat. It covers AI’s potential significance to computing; how AI affects jobs; the employee specializations needed to fuel AI; big data; and cultural challenges in the enterprise. Be sure to check out Part 1 as well. AJ Abdallat is […]
Understanding the Data Scientist’s Role in Cross-Functional Teams
In our previous article, “Data Science Industry Perspectives in the Cloud,” we discussed that evolution is key if you plan to grow your business. You can start with ready-made solutions, then, in time, you can switch to in-house solutions created with the help of a group of data scientists. This time around, we’ll talk about […]
Is DevOps Making Life Better for Data Scientists?
The path to success and happiness of the data science team working with big data project is not always clear from the beginning. It depends on the maturity of the underlying platform, their cross skills and DevOps processes around their day-to-day operations. The past few years have been like a dream come true for those […]
Why You Need to Embrace Automation
Just in case you hadn’t noticed: The robots are coming. Well, you probably had noticed. It’s hard to miss. Newspaper articles and blogs everywhere herald their arrival. The stories usually follow the same general formula: A catalogue of amazing things that robots (really, AI systems) can do. Debate about forced unemployment vs. people freed up to do […]