Dean of Big Data

William Schmarzo

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Top Stories by William Schmarzo

Industry after industry is under siege as companies embrace digital transformation (DX) to disrupt existing business models and disintermediate their competitor's customer relationships. But what do we mean by "Digital Transformation"? 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 architectures, hyper-converged technologies, artificial intelligence, blockchain) to enhance products, processes, and business-decision making with customer, product and operational insights. In order to achieve digital transformation, organizations need to coordinate and align the following business and technology capabilities: Build out the organization's data and analytics capabilities and assets (e.g., da... (more)

The #IoT and #Analytics | @ThingsExpo #BigData #BI #AI #DX #MachineLearning

The Internet of Things (IoT) and Analytics at The Edge The Internet of Things (IoT) promises to change everything by enabling “smart” environments (homes, cities, hospitals, schools, stores, etc.) and smart products (cars, trucks, airplanes, trains, wind turbines, lawnmowers, etc.). I recently wrote about the importance of moving beyond “connected” to “smart” in a blog titled “Internet of Things: Connected Does Not Equal Smart”. The article discusses the importance of moving beyond just collecting the data, to transitioning to leveraging this new wealth of IoT data to improve th... (more)

Data and Economics 101 | @CloudExpo #IoT #AI #M2M #BigData #Analytics

As more organizations try to determine where best to deploy their limited budgets to support data and analytics initiatives, they realize a need to ascertain the financial value of their data and analytics - which means basic economic concepts are coming into play.  While many of you probably took an economics class in college not too long ago, some more "seasoned" readers may be rusty. The starting point for this topic began with a blog that I wrote several months ago titled "Determining the Economic Value of Data" and this key observation that started that conversation: Data ... (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 diff... (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... (more)