Strata + Hadoop World in San Jose 2017
Mar
14
Mar 17

Strata + Hadoop World in San Jose 2017

Join Open Data's founder and Chief Data Scientist, Bob Grossman, for his talk, The Dangers of Statistical Significance When Studying Weak Effects in Big Data: From Natural Experiments to p-Hacking. 

To learn more, please view his talk summary here

Predictive Analytics World Chicago
Jun
19
Jun 22

Predictive Analytics World Chicago

  • Hilton Chicago

Join ODG founder and Chief Data Scientist Bob Grossman for his talk, "What is the Analytic Maturity of Your Company and Five Ways to Improve It". This discussion covers the Analytic Maturity Model--how it is used to measure the analytic maturity of an organization and five steps that can be taken to improve it. Find out more here


Webinar - Learn how to Develop and Deploy a Gradient Boosting Machine Model
Feb
16
10:00 am10:00

Webinar - Learn how to Develop and Deploy a Gradient Boosting Machine Model

 Register Here

Is your organization ready to deploy analytic models at scale? Are your existing systems connected in the right ways to leverage the latest analytics capabilities? Join us for a live webinar detailing the creation and deployment of gradient boosting machine models using Python, Kafka and FastScore. This webinar, led by Open Data’s Matthew Mahowald, will increase your understanding of the benefits of gradient boosting as well as the easiest way to deploy and maintain a live streaming gradient boosting machine model in production systems.

Our webinar will focus on providing 3 key takeaways:

  • Learn how to create a gradient boosting machine using SciKit Learn and Python

  • Understand the steps required to transform features, train, and deploy a GBM using FastScore, a language agnostic analytic engine

  • See a live demo of a GBM analyzing auto insurance risk

Feb 16, 2017 - 10am PST (1pm EST)

Register now!

Matthew is a data scientist and software engineer at Open Data Group. He holds a PhD in Mathematics from Northwestern University, where he researched the geometry of string theory and topological field theory. At ODG, Matthew focuses on developing and deploying machine learning models with FastScore.

Analytic Deployment Meet-Up in Chicago
Feb
9
6:00 pm18:00

Analytic Deployment Meet-Up in Chicago

  • Grind

Discover the Difference between analytic design and analytic deployment with Open Data's CTO, Stu Bailey. 

 Come join us as we discuss the basic requirements to quickly and efficiently deploy your latest data science models at scale. We will have a brief talk on the primary deployment concepts of Analytic Engines, Model Interchange Formats, Analytic Lifecycle Management, and Analytic Deployment Metrics and Benchmarks.

Then we will dive into a live demo, and see what it really takes to deploy models. A Python based GBM? Sure! How about the same model in R? No problem. Can we see an RNN deployed as well? Absolutely! 

Please register here, as we need your name for access to the Grind space and to get an accurate count for food!

Name *
Name
Predictive Analytics World New York
Oct
23
Oct 27

Predictive Analytics World New York

  • Jacob K. Javits Convention Center

ODG founder and Chief Data Scientist Bob Grossman details case studies concerning best practices and mistakes concerning deploying Analytic Models. 

Seattle Meet Up with Galvanize
Oct
13
6:00 pm18:00

Seattle Meet Up with Galvanize

  • Galvainze Seattle

We will be hosting a meet-up in Seattle in partnership with Galvanize.  Our CTO, Stu Bailey, will join a great group from the Data Science Seattle Meetup to discuss "AnalyticOps and Analytic Engines: Roles, Tools and Techniques for Deploying Analytic Models into Production in Modern Environments."

Here is a brief abstract of the talk.  We hope to see you there!

Stu will discuss three case studies to introduce available tools, hands on technical considerations, and best practices for deploying and future proofing analytic models into modern products, services and operational systems. He will discuss technical details and trends in data science requirements in relationship to technical details and trends developing in modern infrastructure solutions. He will conclude with concrete actions and pointers that will help attendees get hands on with the current state of the art technology as quickly as possible.

Stu Bailey at PAPI'16 Conference
Oct
11
Oct 12

Stu Bailey at PAPI'16 Conference

  • Microsoft New England Research and Development Center (N.E.R.D.), 1st Floor

Our CTO Stu will be attending and presenting at the PAPI'16 conference in October.  The title of his talk is Prediction | Production: Lessons from ‘Over-the-wall’, and is a talk centered on what it really means to be ready to deploy analytics.  The concept of an analytic deployment environment will be discussed, in addition to the organization competencies required to fully monetize data science investments.  The abstract is below, andif you are in Boston, we hope to see you there.

Data Science and Dev Ops teams live on opposite sides of a wall in most organizations. Despite the separation, these teams should work together to develop a coherent process to release analytic products, support those products and maintain sanity. We propose an institutional capability, ‘Analytic Operations’, to support data-driven processes within lines-of-business. We hope to share lessons learned practicing Analytic Ops and present a set of best practices for Analytic Ops teams. We also demo open source tools that reduce frictions between Data Science and Ops/Deployment teams.

The Data Science Conference
Oct
6
Oct 7

The Data Science Conference

  • Hyatt at Olive 8

Join ODG founder Bob Grossman in a discussion about a new functional role, AnalyticOps. 

Washington DC, Data Science Meet-up
Sep
29
6:00 pm18:00

Washington DC, Data Science Meet-up

Join Stu Bailey and the Statistical Programming DC community, part of the Data Community DC, as he discusses: AnalyticOps and Analytic Engines: Roles, Tools and Techniques

Stu will discuss three case studies to introduce available tools, hands on technical considerations, and best practices for deploying and future proofing analytic models into modern products, services and operational systems. He will discuss technical details and trends in data science requirements in relationship to technical details and trends developing in modern infrastructure solutions. He will conclude with concrete actions and pointers that will help attendees get hands on with the current state of the art technology as quickly as possible.

CIO Solutions Gallery Showcase 2016
Aug
31
Sep 1

CIO Solutions Gallery Showcase 2016

  • Blackwell Inn & Conference Center

Connect with us at Columbus for Bob Grossman's work on AnalyticOps, a key role in model deployment.