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Bill Schmarzo
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  • Palo Alto, CA
  • United States
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Mahendra Das liked Bill Schmarzo's blog post Why Is Data Science Different than Software Development?  It Starts with Data…Lots o’ DATA!!
9 hours ago
Bill Schmarzo posted a blog post

Why Is Data Science Different than Software Development?  It Starts with Data…Lots o’ DATA!!

Data science development is very different from software development, and getting the two to mesh is sometimes like trying to cobble together Tinker Toys with Lincoln Logs.  One data science expert once described the differences as:Software development is “Measure twice; cut once,” while Data Science is “Cut, cut, cut!”The methodologies and processes that support successful software development do not work for data science projects according to one simple observation: software development…See More
18 hours ago
Bill Schmarzo's blog post was featured

Why Is Data Science Different than Software Development?  It Starts with Data…Lots o’ DATA!!

Data science development is very different from software development, and getting the two to mesh is sometimes like trying to cobble together Tinker Toys with Lincoln Logs.  One data science expert once described the differences as:Software development is “Measure twice; cut once,” while Data Science is “Cut, cut, cut!”The methodologies and processes that support successful software development do not work for data science projects according to one simple observation: software development…See More
18 hours ago
Bill Schmarzo posted blog posts
Oct 4
Bill Schmarzo's 2 blog posts were featured
Oct 4
Prabhakaran Sampath liked Bill Schmarzo's blog post Using Confusion Matrices to Quantify the Cost of Being Wrong
Oct 1
Prabhakaran Sampath liked Bill Schmarzo's blog post Data Engineers: Nobody Puts Baby in a Corner!
Oct 1
Harisingh Khedar commented on Bill Schmarzo's blog post Using Confusion Matrices to Quantify the Cost of Being Wrong
"Wonderful post, thanks!"
Sep 27
Bill Schmarzo's 3 blog posts were featured
Sep 27
Bill Schmarzo posted a blog post

Data Engineers: Nobody Puts Baby in a Corner!

Oh,the lowly data engineer.  Harvard Business Review declared the role of the data scientist as “the sexiest job in the 21stcentury.” But the data engineer labors away in near obscurity acquiring, transforming, enriching, munging and preparing data for the data scientist to do their black magic.In addition to building data pipelines – who do you think operationalizes the data science?  Again, it’s the data…See More
Sep 27
Bill Schmarzo posted a blog post

Using Confusion Matrices to Quantify the Cost of Being Wrong

There are so many confusing and sometimes even counter-intuitive concepts in statistics.  I mean, come on…even explaining the differences between Null Hypothesis and Alternative Hypothesis can be an ordeal.  All I want to do is to understand and quantify the cost of my analytical models being wrong.For example, let’s say that I’m a shepherd who has bad eyesight and have a hard time distinguishing between a wolf and a sheep dog.  That’s obviously a bad trait, because the costs of being wrong are…See More
Sep 25
Bill Schmarzo's blog post was featured

Using Confusion Matrices to Quantify the Cost of Being Wrong

There are so many confusing and sometimes even counter-intuitive concepts in statistics.  I mean, come on…even explaining the differences between Null Hypothesis and Alternative Hypothesis can be an ordeal.  All I want to do is to understand and quantify the cost of my analytical models being wrong.For example, let’s say that I’m a shepherd who has bad eyesight and have a hard time distinguishing between a wolf and a sheep dog.  That’s obviously a bad trait, because the costs of being wrong are…See More
Sep 25
Bill Schmarzo posted blog posts
Sep 23
Bill Schmarzo's 2 blog posts were featured
Sep 23
Bill Schmarzo posted a blog post

Defining AI Not as Important as Exploiting AI

Today’s Artificial Intelligence (AI) discussions remind me of a Steve Martin skit from the early Saturday Night Live days (1979). In the skit titled “What the Hell is that?”, Steve Martin, later joined by Bill Murray, is looking in the distance at something, repeatedly asking the question “What the hell is that?”  The skit reminds me of today’s AI discussions about “What the hell is AI?”, which distracts from the more important…See More
Sep 20
Bill Schmarzo's blog post was featured

Defining AI Not as Important as Exploiting AI

Today’s Artificial Intelligence (AI) discussions remind me of a Steve Martin skit from the early Saturday Night Live days (1979). In the skit titled “What the Hell is that?”, Steve Martin, later joined by Bill Murray, is looking in the distance at something, repeatedly asking the question “What the hell is that?”  The skit reminds me of today’s AI discussions about “What the hell is AI?”, which distracts from the more important…See More
Sep 20

Profile Information

Short Bio
30+ years of data warehousing, business intelligence and analytics experience. Also teach at the University of San Francisco School of Management
My Web Site Or LinkedIn Profile
http://https://infocus.emc.com/author/william_schmarzo/
Field of Expertise
Data Science, AI, Business Analytics, IoT
Professional Status
C-Level
Years of Experience:
30+ years
Your Company:
Hitachi Vantara
Industry:
Technology
Your Job Title:
CTO IoT and Analytics
How did you find out about DataScienceCentral?
Friends
Interests:
Contributing, Other

Bill Schmarzo's Blog

Why Is Data Science Different than Software Development?  It Starts with Data…Lots o’ DATA!!

Posted on October 17, 2018 at 4:23am 0 Comments

Data science development is very different from software development, and getting the two to mesh is sometimes like trying to cobble together Tinker Toys with Lincoln Logs.  One data science expert once described the differences as:

Software development is “Measure twice; cut once,” while Data Science is “Cut, cut, cut!”

The methodologies and processes that support successful software development do not work for data science projects according to one…

Continue

Predict ►Prescribe ►Prevent Analytics Value Cycle

Posted on October 2, 2018 at 2:30pm 0 Comments

Organizations looking for justification to move beyond legacy reporting, should review this little ditty from the healthcare industry:

The Institute of Medicine (IOM) estimates that the United States loses $750 billion annually to medical fraud, inefficiencies, and other siphons in the health-care system[1].

The report identified six major areas of waste: unnecessary services ($210 billion annually); inefficient…

Continue

AI and the Future of Millennials

Posted on September 30, 2018 at 2:11pm 0 Comments

AI has snuck into our daily lives and there is nothing to stop it. Not only does AI power autonomous vehicles, but AI already decides what products you should buy, what movies you should watch, what music you should listen to, and whom you should date. If you talk to your iPhone, Google Home, and Amazon Echo, you are talking to an AI engine that powers these personal virtual assistants. AI decides whether you are approved for a loan, determines the outcome of a job applications, identifies…

Continue

Data Engineers: Nobody Puts Baby in a Corner!

Posted on September 26, 2018 at 6:22am 0 Comments

Oh,the lowly data engineer.  Harvard Business Review declared the role of the data scientist as “the sexiest job in the 21stcentury.” But the data engineer labors away in near obscurity acquiring, transforming, enriching, munging and preparing data for the data scientist to do their black magic.

In addition to building data pipelines –…

Continue

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