Artificial Intelligence Delivered WYSIWYG-Style


Companies who manage to put AI capabilities into the hands of each and every business employee will be vastly successful in the marketplace. Enabling business employees to back up their decisions with data will dramatically increase staff productivity. At the same time, employees will feel empowered by their new ability to make much more informed [...]



By | April 12th, 2018|Artificial Intelligence|0 Comments

IBM’s Differentiation in 10 Quotes from Think 2018 – Let’s Put Smart to Work


Here are the 10 quotes that best sum up #Think2018. Inspired by Think 2018, I came up with my own ideas for AI bots and posted them here. “Building a platform that brings data and AI together to take the organization to the next level”, Ginni Rometty, CEO. Instead of competing with infrastructure vendors and [...]



11 Golden Rules to De-stress Your DevOps Process


With development teams working on 3-4 releases in parallel and releasing at least once a quarter, we often see release overhead consuming an average of 20-30% of development and operations resources. Enterprises releasing every month, week, or even day suffer from even larger overhead. Here is what you can do to free up most of [...]



By | March 14th, 2018|DevOps|0 Comments

How an EMA Top 3 Product Is Selected – Quick Overview by the Example of Chef Habitat and InSpec


The EMA Top 3 report for Container Management and DevOps in Production and at Scale is a curated collection of a large number of data points that reflect individual priorities, pain points, technology adoption patterns, requirements, opinions, and so on, of 300 enterprises. It then dives deeper into these individual data points to provide readers [...]



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

7 IT Operations Challenges to Attack in 2018 – EMA Punch List


Digital attackers in 2018 need to focus on one key challenge: “how do I deliver the best possible value to my clients, without significantly increasing cost.“ Monitor for user experience impact: As enterprises differentiate more and more via their digital user experience, all monitoring solutions must deliver clear and instant answers to the following questions: [...]



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
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