Why Machine Learning Diagnoses Cancer but Can’t Run our Hybrid Cloud


Why Machine Learning Diagnoses Cancer but Can’t Run our Hybrid Cloud Why can machine learning and artificial intelligence reliably find cancer, for example, in CT scans (read the excellent very short MIT article), but they cannot tell me whether or not it makes sense to containerize an application, how to most efficiently provision storage pools [...]



Limitations of Neural Network Learning and How They Should Be Attacked in 2018


Neural Networks Are Key in 2018 Neural networks are back, but please don’t think they are able to emulate the context awareness of the human brain. Don’t get me wrong, I believe that the neural network approach is a viable one, but we do need to be clear about its limitations. All of these limitations [...]



By | January 3rd, 2018|Artificial Intelligence, Machine Learning|0 Comments

Top 3 Coding Toys and Apps for Kids that Are as much Fun for Parents


My constant search for the next ‘cool’ tech toy or app is inspired by my obsession for automation. Trying to teach my 4 and 6 year old kids to think of creative solutions for their repetitive problems (no, there’s not yet a robot that cleans their rooms) surfaced the following 3 top toys and top [...]



By | December 29th, 2017|Artificial Intelligence, Machine Learning|0 Comments

6 Recommendations for Machine Learning and Artificial Intelligence in 2018


In 2017, CEOs arrived at the conclusion that machine learning and artificial intelligence (ML / AI) will be critical to unlock competitive advantages in the future. However, most enterprises had very little understanding of exactly what is possible today and how much value the investment in various ML / AI technologies can bring. Here are [...]



By | December 26th, 2017|Artificial Intelligence, Machine Learning|0 Comments

The Frustrations of Applied Machine Learning – A Not So Common Case Study


Now that I’ve predicted that in 2018 machine learning will be available to ‘average Joe developer,’ let me share my experience from this weekend. Note that I’m not trying to be a ‘cool geek’ by doing some hands on work (I’m way too old to still be cool), but based on all the machine learning [...]



Top 10 enterprise IT Predictions for 2018 – Release Faster, Cheaper, and at Higher Quality – Everything Is about Becoming a Digital Attacker


For readers who would like to see what happened to our 2017 predictions, please take a look. Jens Soeldner and the EMA Team sat down again this month to look into the crystal ball for 2018. Central Theme for 2018: Transform into a Digital Attacker All 2018 trends contribute to transforming enterprises into digital attackers that [...]



AWS Re:Invent 2017 – Two Big Time Machine Learning Highlights


“We want everyday developers (...) to be able to use machine learning much more extensively.” This is Andy Jassy’s mantra targeted at making AWS the company that turns machine learning into a commodity, similar to what the company achieved for IaaS before. Within this context, the following two new offerings stood out of the glut [...]



By | December 4th, 2017|Artificial Intelligence, Machine Learning|0 Comments

Intent Driven DevOps – A New Journey to NoOps


First Came Autonomic Computing ‘Autonomic Computing’ was the original concept of providing systems and apps with the power autonomously responding to unpredictable challenges. ‘Autonomic Computing’ came with all the right ideas (IBM deserves a good share of credit for defining this concept), but failed due to the same cultural and technological barriers DevOps is struggling [...]



Top 3 Guidelines for Leveraging Machine Learning and Artificial Intelligence to Lower OPEX and Increase Competitiveness


“Machine learning (ML) today is frustrating. There is so much potential and the algorithms are all there, but I just do not know how I can leverage it for my organization,” says the CTO of a major professional services firm. “My CEO wants me to ‘leverage ML to lower OPEX and differentiate our service offerings, [...]



Machine Learning and Artificial Intelligence: The Promised Land for Lowering IT OPEX, Decreasing Operational Risk and Optimally Supporting Business Goals


What should machine and artificial intelligence (ML/AI) do for IT operations, DevOps and container management? The following table represents my quick outline of the key challenges and specific problem ML/AI needs to address. The table is based on the believe that ML/AI needs to look over the shoulder of IT ops, DevOps, and business management teams [...]



By | September 26th, 2017|Artificial Intelligence, Containers, DevOps, Megatrends|0 Comments
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