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This blog was written with the thoughtful assistance of David Leibowitz, Dell EMC Director of Business Intelligence, Analytics & Big Data So data warehousing may not be cool anymore, you say? It’s yesterday’s technology (or 1990’s technology if you’re as old as me) that served yesterday’s business needs. And while it’s true that recent big data and data science technologies, architectures and methodologies seems to have rendered data warehousing to the back burner, it is entirely false that there is not a critical role for the data warehouse and Business Intelligence in digitally transformed organizations. Maybe the best way to understand today’s role of the data warehouse is with a bit of history. And please excuse us if we take a bit of liberty with history (since we were there for most of this!). Phase 1: The Data Warehouse Era Phase 1: In the beginning, Gods (Ral... (more)

AI, Globalization and International Basketball | @ExpoDX @Schmarzo #AI #IoT

A strong declaration from a historically antagonist foe should put chills in the hearts of Americans preparing themselves for the world ahead: Russian President Vladimir Putin says the nation that leads in AI will be the ruler of the world [1]” … The ruler of the world! From the article (with some modification to avoid political landmines), we get the following: “The development of artificial intelligence has increasingly become a national security concern in recent years. It is China and the US (not Russia), which are seen as the two frontrunners, with China recently announcing its ambition to become the global leader in AI research by 2030. Many analysts warn that America is in danger of falling behind, especially as the [current US] administration prepares to cut funding for basic science and technology research.” Elon Musk, one of America’s foremost technology... (more)

Winning the #ArtificialIntelligence War | @ExpoDX #IoT #DigitalTransformation

There is a war a-brewin’, but this war will be fought with wits and not brute strength. Ever since Russian President Vladimir Putin’s declaration that “the nation that leads in AI (Artificial Intelligence) will be the ruler of the world,” the press and analysts have created hysteria regarding the ramifications of artificial intelligence on everything from public education to unemployment to healthcare to Skynet. Note: artificial intelligence (AI) endows applications with the ability to automatically learn and adapt from experience via interacting with the surroundings / environment. See the blog “Artificial Intelligence is not Fake Intelligence” for a more detailed explanation on artificial intelligence and machine learning. The Fast Company article “How to Stop Worrying and Love the Great AI War of 2018,” projected that the AI battle would ultimately boil down betw... (more)

AI Is Not “Fake” Intelligence | @ExpoDX @Schmarzo #DX #ArtificialIntelligence

Quick quiz! What’s the first thing that comes to mind when you hear the following phrases? Artificial grass Artificial sweeteners Artificial flavors Artificial plants Artificial flowers Artificial diamonds and jewelry Artificial (fake) news These phrases probably evoke thoughts such as “fake,” “not real,” or even “shabby.” Artificial is such a harsh adjective. The word “artificial” is defined as “imitation; simulated; sham” with synonyms such as fake, false, mock, counterfeit, bogus, phony and factitious. The word “artificial” may not be the right term to use to describe “Artificial Intelligence,” because “artificial intelligence” is anything but fake, false, phony, or a sham. Maybe a better term is “Augmented Human Intelligence,” or a phrase that highlights both the importance of augmenting the human’s intelligence as well as to alleviate the fears that AI means ... (more)

Hacking the Autonomous Vehicle | @ExpoDX @Schmarzo #AI #IoT #M2M #Sensors #DigitalTransformation

I love it when I get feedback from a blog that I’ve written. I appreciate the different perspectives and insights that others bring to a topic of interest. And no blog that I’ve written has drawn more comments than my blog, “Isaac Asimov: The 4th Law of Robotics.” The section of the blog that fueled the most comments stem from a scene in the movie I, Robot where Detective Spooner (played by Will Smith) is explaining to Doctor Calvin (who is responsible for giving robots human-like behaviors) why he distrusts and hates robots. He is describing an incident where his police car crashed into another car and both cars were thrown into a cold and deep river – certain death for all occupants. However, a robot jumps into the water and decides to save Detective Spooner over a 10-year old girl (Sarah) who was in the other car. Here is the dialogue between Detective Spooner a... (more)

Lessons from Game of Thrones: Stopping the White Walkers of Data Monetization | @ThingsExpo #IoT #M2M #BigData

As we end 2017, I’m tired of writing “lecturing” blogs about what organizations should be doing to master data monetization in order to power their business models and achieve digital transformation. While the objective of every organization should be to master big data and data science (artificial intelligence, machine learning, deep learning) to drive “data monetization,” let’s take a breath and have some fun. My recent ankle surgery afforded me the opportunity to binge watch “Game of Thrones.”  As I watched the impending battle between the White Walkers and humanity, I couldn’t help but identify a number of lessons that we can learn from Jon Snow’s battle with the leader of the White Walkers…and the power of Valyrian steel! Game of Thrones and data, not exactly two things you think are in harmony, but this is where I find myself. Figure 1: White Walker’s “Oh Sh*... (more)

Monetizing the Internet of Things (IoT) | @ThingsExpo #AI #IoT #M2M #BigData

“Why incur the expense of generating and collecting all of this IoT data if you’re not going to monetize it?” Organizations are racing to embrace the Internet of Things (IoT) as the pundits create “visions of sugar-plums dancing in their heads.” McKinsey Global Institute released their study “The Internet of Things: Mapping the Value beyond the Hype” in June 2015 that highlighted the staggering financial value that IoT could create! (See Figure 1.) Figure 1: Potential Financial Impact of IoT The folks at Wikibon provided a perspective on the sources of “IoT monetization” in their recent research titled “Harvesting Value at the Edge” written by the always delightful and provocative Neil Raden. To quote the Wikibon research: IoT, though a useful application of available technology, and well-defined at the hardware and network levels, the heart of IoT, that part that ... (more)

Three Theorems on the Economic Value of Data | @ThingsExpo #IoT #M2M #BigData

Since releasing the University of San Francisco research paper on “How to Determine the Economic Value of Your Data” (EvD), I have had numerous conversations with senior executives about the business and technology ramifications of EvD. Now with the release of Doug Laney’s “Infonomics” book that builds upon Doug’s EvD work at Gartner, I expect these conversations to intensify. In fact, I just traveled to Switzerland to discuss the potential business and technology ramifications of EvD with the management team of a leading European Telecommunications company. From these conversations, I am starting to form some “theorems” to guide organizations regarding how EvD could impact their business and technology investments. A theorem is defined as “a general proposition not self-evident but proved by a chain of reasoning; a truth established by means of accepted truths.” ... (more)

About Machine Learning | @ExpoDX @Schmarzo #AI #MachineLearning #ArtificialIntelligence

What Tomorrow's Business Leaders Need to Know About Machine Learning Sometimes I write a blog just to formulate and organize a point of view, and I think it’s time that I pull together the bounty of excellent information about Machine Learning. This is a topic with which business leaders must become comfortable, especially tomorrow’s business leaders (tip for my next semester University of San Francisco business students!). Machine learning is a key capability that will help organizations drive optimization and monetization opportunities, and there have been some recent developments that will place basic machine learning capabilities into the hands of the lines of business. By the way, there is an absolute wealth of freely-available material on machine learning, so I’ve included a sources section at the end of this blog for folks who want more details on machine lea... (more)

“Unlearn” to Unleash Your #DataLake | @CloudExpo @Schmarzo #BigData #AI #DX

It takes years – sometimes a lifetime – to perfect certain skills in life: hitting a jump shot off the dribble, nailing that double high C on the trumpet, parallel parking a Ford Expedition. Malcolm Gladwell wrote a book, “Outliers,” discussing the amount of work – 10,000 hours – required to perfect a skill (while the exactness of 10,000 hours has come under debate, it is still a useful point that people need to invest considerable time and effort to master a skill). But once we get comfortable with something that we feel that we have mastered, we become reluctant to change. We are reluctant to unlearn what we’ve taken so long to master. Changing your point of release on a jump shot or your embouchure for playing lead trumpet is dang hard! Why? Because it is harder to unlearn that it is to learn. It is harder to un-wire all those synoptic nerve endings and deep mem... (more)

The Consumerization of Artificial Intelligence

Consumerization is the design, marketing, and selling of products and services targeting the individual end consumer. Apple CEO Tim Cook recently promoted a $100-per-year iPhone app called Derm Expert. Derm Expert allows doctors to diagnose skin problems using only their iPhone.  Doctors take a photo of a patient’s skin condition and then Derm Expert diagnoses the problem and prescribes treatment. Doctors can effectively treat patients without a high performance computer or an expensive technology environment. They just need the same iPhone that you and I use every day. Figure 1: Derm Expert App   Derm Expert makes use of Apple’s Core ML framework that is built into all new iPhones. Core ML makes it possible to run Machine Learning and Deep Learning algorithms on an iPhone without having to upload the photos to the “cloud” for processing. Apple is not the only co... (more)