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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)

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)

Back to the Future: 2018 Big Data and Data Science Prognostications | @ExpoDX #DX #BigData #Analytics

“We should study Science Fiction in order to understand what someday could become Science Fact.” – Dr. Who?  Doc Brown?  Kodos and Kang? This is the time of year when everyone makes his or her predictions for 2018.  I have my predictions as well, but wanted to do something a bit more fun.  So I thought I’d look backwards to the state of technology 50 years ago to gain some insights that we can use to make projections about 2018. That is, what “predictions” made in the 1950’s might tell us about 2018. However, it’s really hard to find predictions about the future made in the 1950’s.  There was no Internet or Social Media or Reality TV, so I found the next best proxy…sci-fi movies!  I decided to review the most popular sci-fi movies from 1950’s, and provide my perspective as to what these movies might tell us about 2018.  Maybe drink a Tab or Fresca as you read thi... (more)

Simplifying the Advanced Analytics Discussion | @ThingsExpo #DL #ML #RL #AI

Simplifying the Advanced Analytics Discussion (DL/ML/RL/AI) Will I ever understand the nuances of the advanced analytics landscape? Well, maybe the better question is will the advanced analytics landscape ever stop changing? The advanced analytics landscape, into which I include Deep Learning (DL), Machine Learning (ML), Reinforcement Learning (RL) and Artificial Intelligence (AI), seems to be in a constant state of evolution. New advanced analytic algorithms and tool sets seem to be coming out of every university, every startup, every digital media company and every technology company. And many of these new advanced analytic algorithms and tool sets are open source, which means that they are available for others to build upon. Unfortunately, many of these algorithms and toolsets don’t come with the supporting hands-on training materials necessary for the average busi... (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)

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)

Data Warehouse and Data Lake | @ExpoDX @Schmarzo #BigData #DataLake

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)

Isaac Asimov: The 4th Law of Robotics | @ThingsExpo #AI #ML #DX #DigitalTransformation

Like me, I’m sure that many of you nerds have read the book “I, Robot.” “I, Robot” is the seminal book written by Isaac Asimov (actually it was a series of books, but I only read the one) that explores the moral and ethical challenges posed by a world dominated by robots. But I read that book like 50 years ago, so the movie “I, Robot” with Will Smith is actually more relevant to me today. The movie does a nice job of discussing the ethical and moral challenges associated with a society where robots play such a dominant and crucial role in everyday life. Both the book and the movie revolve around the “Three Laws of Robotics,” which are: A robot may not injure a human being or, through inaction, allow a human being to come to harm. A robot must obey the orders given to it by human beings except where such orders would conflict with the First Law. A robot must protect ... (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)

Data Monetization? Cue the Chief Data Monetization Officer | @ExpoDX #DX #BigData #DataLake

Data Monetization! Data Monetization! Data Monetization! It’s the new mantra of many organizations. But what does “data monetization” really mean, how do you do it, and more importantly, who in the organization owns the job of “data monetization”? The role of Chief Data Officer (CDO) would seem to be a godsend to answer the data monetization challenge. They should be the catalyst in helping organizations to become more effective at leveraging data and analytics to power the digital transformation. However, all is not well in the world of the CDO. Many organizations appoint a CDO with an Information Technology (IT) background – the same background and experience as the Chief Information Officer (CIO). The organization then ends up splitting the existing CIO role between the current CIO and the CDO; giving the CDO the tasks associated with data collection, governance, ... (more)

Unintended Consequences of the Wrong Measures | @ExpoDX #DX #AI #BigData #Analytics

In an attempt to put the patient first in healthcare, Congress and President Obama in 2015 approved a bipartisan bill for United States healthcare reform. The bill is known as “Medicare Access and CHIP Reauthorization Act of 2015,” or MACRA. Among the major provisions of MACRA is the Quality Payment Program. Under the Quality Payment Program, physicians and nurses receive positive, neutral or negative Medicare payment adjustments based upon a “Patient Satisfaction Score,” that is, patient satisfaction scores have a direct impact on how physicians, physician assistants, nurses, and hospital’s get paid by Medicare. Managing the broader healthcare goal of “Improving the Quality and Effectiveness of Patient Care” from a single, highly generalized measure is a major concern for physicians and hospitals. These “patient satisfaction scores” can drive unintended patient tr... (more)