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For a phrase that’s being thrown around a lot recently, what does “Digital Transformation” really mean? When someone says that they want to digitally transform their business, what does one really mean, why do they want to do it, and should they approach this “digital transformation” process? First off, let’s start with a definition. If we don’t know what we are trying to achieve, then how do we know how to get there? Or to quote the famous Greek philosopher Yogi Berra: “If you don’t know where you are going, you’ll end up someplace else.” In a recent blog “How To Achieve Digital Transformation,” I stated with the following definition of Digital Transformation: “The coupling of granular, real-time data (e.g., smartphones, connected devices, smart appliances, wearables, mobile commerce, video surveillance) with modern technologies (e.g., cloud native apps, big data ... (more)

Is #Blockchain Enabler of Data Monetization? | @CloudExpo #BigData #FinTech

Special thanks for the help on this blog to the coolest, most hip group of industry experts that I have ever met: the Pathfinders. The Pathfinders is an elite forces group of master system engineers inside of Dell EMC who tackle our customers’ most difficult and inspiring challenges. I am honored to be part of that club! Suppose an autonomous vehicle learns of a more efficient route and wants sell this knowledge to other autonomous cars for a fee (using blockchain to handle machine to machine transaction). Suppose the autonomous vehicle could start to monetize itself; to self-fund its own operations and the acquisition of goods and services such as gas, repairs or vehicle upgrades (using blockchain to conduct commerce).  Now suppose the autonomous vehicle could couple real-time analytics of vehicle performance and maintenance with real-time bidding for maintenance... (more)

Golden State Warriors Analytics Exercise | @BigDataExpo #BigData #Analytics

For a recent University of San Francisco MBA class, I wanted to put my students in a challenging situation where they would be forced to make difficult data science trade-offs between gathering data, preparing the data and performing the actual analysis. The purpose of the exercise was to test their ability to “think like a data scientist” with respect to identifying and quantifying variables that might be better predictors of performance. The exercise would require them to: Set up a basic analytic environment Gather and organize different data sources Explore the data using different visualization techniques Create and test composite metrics by grouping and transforming base metrics Create a score or analytic model that supports their recommendations I gave them the links to 10 Warrior games (5 regulation wins, 3 overtime losses and 2 regulation losses) as their star... (more)

Demystifying #DataScience | @CloudExpo #BigData #AI #ArtificialIntelligence

[Opening Scene]: Billy Dean is pacing the office. He’s struggling to keep his delivery trucks at full capacity and on the road. Random breakdowns, unexpected employee absences, and unscheduled truck maintenance are impacting bookings, revenues and ultimately customer satisfaction. He keeps hearing from his business customers how they are leveraging data science to improve their business operations. Billy Dean starts to wonder if data science can help him. As he contemplates what data science can do for him, he slowly drifts off to sleep, and visions of Data Science starts dancing in his head… [Poof! Suddenly Wizard Wei appears]: Hi, I’m your data science wizard to help alleviate your data science concerns. I don’t understand why folks try to make the data science discussion complicated. Let’s start simple with a simple definition of data science: Data science is a... (more)

Is Data Science Really Science? | @BigDataExpo #BigData #Analytics #DataScience

My son Max is home from college and that always leads to some interesting conversations.  Max is in graduate school at Iowa State University where he is studying kinesiology and strength training.  As part of his research project, he is applying physics to athletic training in order to understand how certain types of exercises can lead to improvements in athletic speed, strength, agility, and recovery. Figure 1:  The Laws of Kinesiology Max was showing me one drill designed to increase the speed and thrust associated with jumping (Max added 5 inches to his vertical leap over the past 6 weeks, and can now dunk over the old man).  When I was asking him about the science behind the drill, he went into great details about the interaction between the sciences of physics, biomechanics and human anatomy. Max could explain to me how the laws of physics (the study of the pro... (more)

Difference Between #BigData and Internet of Things | @ThingsExpo #IoT #M2M

A recent argument with folks whose intelligence I hold in high regard (like Tom, Brandon, Wei, Anil, etc.) got me thinking about the following question: What does it mean, as a vendor, to say that you support the Internet of Things (IoT) from an analytics perspective? I think the heart of that question really boils down to this: What are the differences between big data (which is analyzing large amounts of mostly human-generated data to support longer-duration use cases such as predictive maintenance, capacity planning, customer 360 and revenue protection) and IoT (which is aggregating and compressing massive amounts of low latency / low duration / high volume machine-generated data coming from a wide variety of sensors to support real-time use cases such as operational optimization, real-time ad bidding, fraud detection, and security breach detection)? I don’t beli... (more)

Organizational Analytics Adoption | @BigDataExpo #BigData #DataLake #Analytics

Organizational Analytics Adoption: A Generation Away? A recent article titled “We Are Likely 3-5 Years Out From Advanced Analytics Being Critical To The Viability Of A Company” (and I thought my titles were too long) interviewed Walter Storm, the Chief Data Scientist at Lockheed Martin. The article offers some great perspectives such as: “There’s also a culture shift required – moving from experience and knee-jerk reactions to immersion and exploration of rich insights and situational awareness.” However, Mr. Storm believes that we are only 3 to 5 years away from advanced analytics being critical to the viability of a company: “We are at a point where data-driven decisions may still offer companies a competitive advantage, however we are likely 3-5 years out from advanced analytics being table stakes and critical to the viability of a company to even remain in busin... (more)

Azure Stack Hybrid Cloud From @DellEMC | @CloudExpo @Azure #AI #ML #DX

Dell EMC Announce Azure Stack Hybrid Cloud Solution Dell EMC have announced their Microsoft Azure Stack hybrid cloud platform solutions. This announcement builds upon earlier statements of support and intention by Dell EMC to be part of the Microsoft Azure Stack community. For those of you who are not familiar, Azure Stack is an on premise extension of Microsoft Azure public cloud. What this means is that essentially you can have the Microsoft Azure experience (or a subset of it) in your own data center or data infrastructure, enabling cloud experiences and abilities at your own pace, your own way with control. Learn more about Microsoft Azure Stack including my experiences with and installing Technique Preview 3 (TP3) here. What Is Azure Stack Microsoft Azure Stack is an on-premise (e.g., in your own data center) private (or hybrid when connected to Azure) cloud pl... (more)

Aggregated Data Dilemma | @BigDataExpo #BigData #Analytics #DataScience

Okay, I am weird (tell me something that I don’t know, say most of my friends).  For Christmas I wanted a Nike Apple Watch to go with my existing FitBit and Garmin fitness trackers (I look sort of like a cyborg in the photo below…which is always cool). While I was intrigued by the ability to do all sorts of cool things on the Apple Watch (like take a phone call and talk into my wrist watch like Dick Tracy), the thing that most intrigued me was the ability to buy third-party apps that could yield detailed exercise and health data.  I was hoping that this detailed exercise and health data could help me understand what effect particular behaviors or activities (or lack of particular behaviors and activities) were having on my overall health. Why is this important to me?  You can thank articles like “Unexpected Heart Attack Triggers” for my health and exercise anxiety.... (more)

Can Design Thinking Unleash Organizational Innovation? | @ThingsExpo #IoT #M2M #BigData

I am so blessed with smart friends, and I am fortunate to count John Morley among that group. John recently introduced me to Stanford’s Design School (d.school). To say I was blown away would be an understatement. I was so jazzed by the one-hour tour that I have signed up for a 3-hour class (very expensive…costs like $12…my Starbucks coffee that will get me fired up for the class costs almost that much). So what about design thinking got me so jazzed? Three things immediately jumped out at me about the design thinking concept: The design techniques that the school teaches are very similar to the envisioning techniques that we use in our Vision Workshop consulting engagements at Dell EMC, so I’ve uncovered this opportunity to expand our Vision Workshop methodology with some new tools, tips, and techniques. There appears to be a very close correlation between the desi... (more)

Tips for Data Scientists | @CloudExpo #BigData #IoT #ML #AI #DataScience

I spend a lot of time helping organizations to “think like a data scientist.” My book “Big Data MBA: Driving Business Strategies with Data Science” has several chapters devoted to helping business leaders to embrace the power of data scientist thinking. My Big Data MBA class at the University of San Francisco School of Management focuses on teaching tomorrow’s business executives the power of analytics and data science to optimize key business processes, uncover new monetization opportunities and create a more compelling, engaging customer and channel engagement. However in working with our data science teams, I have come to realize that we also need to address the other side of the data science equation; that we need to teach the data scientists in order for them to think like business executives. If the data science team cannot present the analytic results in a w... (more)