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Technical Challenges of Model Deployment

Open Data Group July 25, 2018
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Deploying analytic models can be a long, slow moving process with many obstacles along the way. Many models are abandoned before they ever make it into production because of inefficiencies that slow down or halt the entire process. To overcome the challenges of model deployment, we need to identify the problems and learn what causes them. Some of the top technical challenges organizations face when trying to deploy a model into production are:

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Designing Your Analytic Development Life Cycle

Open Data Group July 12, 2018
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It has become clear that analytics are critical intellectual property for the enterprise with the potential to have huge business impacts.  However, the value companies derive from their models may be hindered by lack of a strong analytic development life cycle(ADLC) process.  Without a well conceived analytic development life cycle, models in production may not work to entitlement, and the rate of iteration may be hindered. It is essential to design your analytic development life cycle to create a scalable and efficient downstream pipeline that moves models efficiently from creation to production. 

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Byline: Monetizing your models with machine learning solutions

Open Data Group April 26, 2018
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Article: Monetizing your models with machine learning solutions, by Stu Bailey, Contributor, InfoWorld

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Key steps to model creation: data cleaning and data exploration

Open Data Group March 1, 2018
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Article: Key Steps to Model Creation: Data Cleaning & Data Exploration, by Stu Bailey, Contributor, InfoWorld

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How to deploy analytic models into production successfully

Open Data Group January 30, 2018
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Article: Handing off models from data science to IT, by , Contributor, InfoWorld

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Where are you in your analytic journey?

Open Data Group December 18, 2017
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Article: The secrets to successfully accomplishing each step in your analytic journey

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Modern IT and Data Science in an Era of Analytic Deployment

Open Data Group November 30, 2017
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Transitioning from a monolithic platform to a modular approach when building models

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Q&A with IT Briefcase and Stu Bailey

Open Data Group October 18, 2017
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Solving Complex Organizational Analytics Disconnects with Analytic Deployment Technology. 

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Are You Ready? The Rise of Analytic Deployment Technology

Open Data Group September 28, 2017
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It’s hard to keep up with the pace of innovation in the world of analytic deployment. Whether you are a statistician, mathematician, data scientist, actuarial, quant, or analytic professional of one sort or another – your star is rising!, Take recent news from Microsoft’s Ignite conference, IBM Watson’s announcement, or research from the Business-Higher Education Forum (BHEF) that by 2021, nearly 70% of all business leaders within the U.S. will prefer candidates who are qualified in advanced data skills. Pick your stat du jour – but it’s clear we are fully transitioned from the era of big data management to the era of big data activation where analytic and predictive models are transforming the business world in every vertical.

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Why Your Models Are Getting Lost in Translation

Ginger Phelps July 25, 2017
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Currently there are innumerable data languages that can be used for a wide range of analytic projects, and this amount will surely increase as new languages are being developed.

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