Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”, is responsible for setting strategy and defining the Big Data service offerings for Dell EMC’s Big Data Practice. As a CTO within Dell EMC’s 2,000+ person consulting organization, he works with organizations to identify where and how to start their big data journeys. He’s written white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the “Big Data MBA” course. Bill also just completed a research paper on “Determining The Economic Value of Data”. Onalytica recently ranked Bill as #4 Big Data Influencer worldwide.
Bill has over three decades of experience in data warehousing, BI and analytics. Bill authored the Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements. Bill serves on the City of San Jose’s Technology Innovation Board, and on the faculties of The Data Warehouse Institute and Strata.
Previously, Bill was vice president of Analytics at Yahoo where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of “actionable insights” through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing and sales of their industry-defining analytic applications.
Bill holds a Masters Business Administration from University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.
Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) are at the heart of digital transformation by enabling organizations to exploit their growing wealth of big data to optimize key business and operational use cases.
• AI is the theory and development of computer systems able to perform tasks normally requiring human intelligence (e.g. visual perception, speech recognition, translation between languages, etc.).
• ML is a sub-field of AI that provides systems the ability to learn and improve by itself from experience without being explicitly programmed.
• DL is a type of ML built on a deep hierarchy of layers, with each layer solving different pieces of a complex problem. These layers are interconnected into a “neural network.” A DL framework is SW that accelerates the development and deployment of these models.
Director, Data Analytics Portfolio Messaging and Strategy at Dell EMC
Jean Marie Martini is a Director of messaging and strategy across the data analytics portfolio at Dell EMC. Martini has been involved in data analytics for over ten years. Today the focus is on communicating the value of the Dell EMC solutions to enable customers to begin and advance their data analytics journeys to transform their organizations into data-driven businesses. You can follow Martini on Twitter @martinij.
Originally posted on CIO.com by Patricia Florissi, Ph.D.
What is a World Wide Herd (WWH)?
What does it mean to have “Distributed analytics meet distributed data?” In short, it means having a group of industry experts, in this case a group given the title of World Wide Herd, to form a global virtual computing cluster. The WWH concept creates a global network of distributed Apache™ Hadoop® instances to form a single virtual computing cluster that brings analytics capabilities to the data. In a recent CIO.com blog, Patricia Florissi, Ph.D., vice president and global CTO for sales and a distinguished engineer for Dell EMC, details how this approach enables analysis of geographically dispersed data, without requiring the data to be moved to a single location before analysis. (more…)
William Geller has been involved in new technology and data science for over 15 years, with experience launching and marketing new products for both startups and in enterprise, around the world. William is the Principal Product Marketing lead for Data Analytics in the Solutions Marketing division of CPSD. Prior to joining Dell EMC, he worked for numerous startups in Healthcare IT, Social Network Analytics, and cyber security. He holds a VMware VCP4.0 accreditation. Willam has an BS in Electrical Engineering from Drexel University and an MBA from Babson College. You can find him on Twitter at @williamgeller
The wide breadth of benefits from data analytics comes in many forms as companies embrace their data assets to affect their businesses and ultimately human lives. When it comes to healthcare, it’s easy to think there is no such thing as too much data. However, with limited time to address urgent medical issues, vast quantities of data aren’t always evaluated in time to uncover distinct patterns that could guide treatment.
Partners Healthcare, a hospital system in the Boston area, saw the same issue and sought to bring better clinical care outcomes with Dell EMC’s Analytic Insights Module. Brent Richter, Director of Enterprise Research at Partners Healthcare recently sat down for an interview with Dave Vellante at SiliconAngle. Richter discussed how Partner’s leveraging of incredible flows of patient data that are matched and reconciled between hospitals in the network, and blended with their own BioBank of sequenced genomes to support Precision Medicine. To illustrate the power of data analytics, Richter shares a staggering early success using Analytic Insights Module, where data analytics led physicians to forego the typical path of “try-and-fail” cancer treatments for a particular patient. Instead their analysis revealed that they would achieve a better outcome for the patient if they focused on treatment using a drug called Crizotinib. Normally not used for the type of cancer this patient had, Analytic Insights Module has uncovered that the genetics of the tumor which had fully metastasized, matched a treatment used successfully elsewhere. To the delight of all, this course of treatment managed to greatly reduce the cancer in only 2 weeks. Partners Healthcare is harnessing all their patient data to reveal new insights for personalized medicine and customized treatments that just aren’t possible with traditional analytical methods – until now.
To view the SiliconAngle Cube session with Brent Richter, please follow this link.
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