Showing posts with label ML. Show all posts
Showing posts with label ML. Show all posts

Monday, October 21, 2019

ModelOp targets AI-based model operations in large enterprises

ModelOp, formerly Open Data Group (ODG), has relaunched with a focus on AI-based model operations in large enterprises. The idea is to integrate data science and machine learning with enterprise applications that use the models’ predictions to automate and improve decisions like credit scoring, fraud detection, bond trading, customer retention, manufacturing operations, supply chain optimization, ecommerce sales, ad conversions, etc.

The company was founded 2016 by Pete Foley and Stu Bailey, who previously worked together at Infoblox, where they pioneered a new category of IT infrastructure, leading to a successful IPO in 2011 and an acquisition of the company by Vista Equity for $1.6B in 2016.  Prior to co-founding Infoblox, Bailey as the technical lead at the National Center for Data Mining, worked closely with the pioneers of data science. Foley previously served as CEO at Port Authority (acquired by Websense) and Ring Cube (acquired by Citrix), and as chairman of Graphite Systems (acquired by EMC).

The company describes DS/ML models as a new kind of software because they are probabilistic and must be “trained” using large quantities of data.  Over time, DS/ML models decay, producing degraded results unless they’re re-trained or re-written. The practice of Model Operations must address the release, activation, monitoring, performance tracking, management, reuse, maintenance and governance of the AI and ML models. 

“We got ahead of the market when we started this venture, convinced that the unique characteristics of data science and machine learning (DS/ML) models would require new organizational and technical approaches in order to realize their value, especially within large enterprises” said Pete Foley, CEO of ModelOp.  Foley continued, “Our expanding customer base, and the level of activity we are seeing in the industry overall strongly validates our vision and makes us extremely excited for this next phase of growth.”  ModelOp’s customers include five of the top 10 largest financial institutions, as well as Fortune 500 manufacturers, insurers, and credit bureaus.

ModelOp has offices in Chicago, IL and San Jose, CA.

Sunday, November 26, 2017

Amazon ML Solutions Lab Opens

Amazon Web Services is launching a program that connects machine learning experts from across Amazon with AWS customers "to help identify practical uses of machine learning inside customers’ businesses, and guide them in developing new machine learning-enabled features, products, and processes."

 The Amazon ML Solutions Lab combines hands-on educational workshops with brainstorming sessions. The idea is to help customers “work backwards from business challenges, and then go step-by-step through the process of developing machine learning-based solutions."

Machine learning workshops cover topics such as how to prepare data, build and train models, and put models into production.

https://aws.amazon.com/ml-solutions-lab


See also