Bill Schmarzo


Bill Schmarzo

About Bill Schmarzo

Bill Schmarzo is CTO, IoT and Analytics at Hitachi Vantara. Bill drives Hitachi Vantara’s “co-creation” efforts with select customers to leverage IoT and analytics to power digital business transformations. Bill is an avid blogger and frequent speaker on the application of big data and advanced analytics to drive an organization’s key business initiatives. Bill authored a series of articles on analytic applications, and is on the faculty of TDWI teaching a course on "Thinking Like A Data Scientist." Bill is the author of “Big Data: Understanding How Data Powers Big Business” and "Big Data MBA: Driving Business Strategies with Data Science." Bill is also an Executive Fellow at the University of San Francisco School of Management, and Honorary Professor at NUI Galway at NUI Galway J.E. Cairnes School of Business & Economics.

Product designers use AI through a mobile device to make decisions

Digital Transformation And The AI Advantage

23-Jul-2019 | Bill Schmarzo

Wait, the artificial intelligence (AI) advantage is already here and gone? That’s what Deloitte warns in the report “Future in the balance? How countries are pursuing an AI advantage.” A notewo

Clamshell grabbing aluminium chips in a scrap metal recycling plant

Disposable Technology: A Concept Whose Time Has Come

25-Jun-2019 | Bill Schmarzo

Imagine that you have been challenged to play Steph Curry, the greatest three-point shooter in the history of the National Basketball Association, in a game of one-on-one. Yeah, a pretty predictable o

data management, data protection, data curation, data value

Data Curation: Weaving Raw Data Into Business Gold (Part 2)

6-May-2019 | Bill Schmarzo

Part 2 of a 2-part series exploring the concepts, methodology, and process that any organization can use to determine the economic value of their data. Read Part 1. Data curation and data governanc

Data Curation: Weaving Raw Data Into Business Gold (Part 1)

29-Apr-2019 | Bill Schmarzo

Part 1 of a 2-part series exploring the concepts, methodology, and processes that any organization can use to determine the economic value of its data. Read Part 2. The Big Data craze caught fire w

industry 4.0, smart products, IoT, analytics, machine learning

How To Flourish In Industry 4.0, The Fourth Industrial Revolution (Part 2)

21-Feb-2019 | Bill Schmarzo

Part 2 of a 2-part series. Read Part 1. Tomorrow’s market winners will win with the smartest products. It’s not enough to just build insanely great products; winners must have the smartest pr

How To Flourish In Industry 4.0, The Fourth Industrial Revolution (Part 1)

14-Feb-2019 | Bill Schmarzo

Part 1 in a 2-part series. Read Part 2. Call it a “Forrest Gump moment:” an instance of being in the right place at the right time for no other reason than just plain luck. A “Forrest Gump m

digital transformation, innovation, economics value curve, analytics

Using The Economics Value Curve To Drive Digital Transformation (Part 2)

17-Jan-2019 | Bill Schmarzo

Part 2 of a 2-part series. Read Part 1. In Part 1 of this series, we looked at how to optimize a decision across multiple variables, using operational downtime as an example. Here, we’ll explore

analytics, warehousing, economics value curve, innovation, digital transformation

Using The Economics Value Curve To Drive Digital Transformation (Part 1)

14-Jan-2019 | Bill Schmarzo

Part 1 in a 2-part series. Read Part 2. One of my biggest learnings from teaching Big Data MBA classes at the University of San Francisco School of Management last semester was around how to proper

Data Science “Paint By Numbers” With The Hypothesis Development Canvas

29-Oct-2018 | Bill Schmarzo

When I was a kid, I loved Paint by Numbers sets. They make anyone who can paint or color between the lines feel like Rembrandt or Leonardo da Vinci (we can talk later about the long-term impact of f

Crossing The Big Data Analytics Chasm

25-Sep-2018 | Bill Schmarzo

The key to any organization’s digital transformation is becoming more effective at leveraging data and analytics to power their business models. That is, how can organizations exploit the growing bo