data science

Cassie Kozyrkov – Head of Decision Intelligence at Google- has a great piece on 12 Steps to Applied AI. As usual she’s got lots of great tips. I don’t have anything to add to her more technical steps but I want to add some commentary on Step 0 and Step 1. Let’s start with her [...]

Seth Dobrin wrapped things up to discuss some go to market strategies and client successes. The IBM Data Science Elite Team is a team of experts that IBM offers to customers to help jump start data science and AI initiatives. Specifically they focus on helping new data scientists make the transition from college to corporate. [...]

Shadi Copty discussed one IDE and one runtime for AI and data science across the enterprise as part of IBM’s AI approach. Shadi identified three major trends that are impacting data science and ML: Diversity of skillsets and workflows with demand remaining high and new approaches like deep learning posing additional challenges. IBM: Visual productivity [...]

Daniel Hernandez kicked things off with a discussion of data for AI. AI adoption, IBM says, is accelerating with 94% of companies believing it is important but only 5% are adopting aggressively. To address perceived issues, IBM introduced its ladder to AI Trust based on Automate (ML) based on Analyze (scale insights) based on Organize [...]

Digital Insurance’s Insurance Analytics and AI event is coming to New York, November 27-28 (new venue and date) Austin September 27-28, 2018. This is going to be a great place to learn how to use analytics, machine learning, data science and AI to modernize your insurance business. I’ll post more as the details firm up but [...]

Karl Rexer of Rexer Analytics is at Predictive Analytics World this week (as am I) and he gave some quick highlights from the 2017 Rexer Analytics Data Science Survey. They’ve been doing survey since 2007 (and I have blogged about it regularly) and the 2017 is the 8th survey with 1,123 responses from 91 countries. Full [...]

I am co-hosting the TDWI Solution Summit Putting Big Data and Analytics to Work in Your Organization with Fern Halper, June 3-5 in Coronado, California. TDWI Solution Summits are great events and I am looking forward to it. The agenda is focused on how to get full business value and organizational advantage from big data and [...]

This year Predictive Analytics World is coming to Las Vegas June 3-7, 2018, for the largest Predictive Analytics World event ever. There’s a packed agenda and I am kicking off the Analytics operationalization and management track, which is full of great sessions focused on how to take analytics (and AI) and get real business value from [...]

Building a data-driven culture, where evidence-based decisions support bottom-line business objectives and AI is embedded into workflows across your organization. Ensure data is secure and accessible, wherever it lives, and get insights from data and turn them into competitive advantage. Use the entire spectrum of data science, artificial intelligence and machine learning to lay a [...]

DecisionCAMP 2018 in in Europe – Luxembourg to be precise – September 17-19. This is a great event and well worth your time if you are interested in the nuts and bolts of decisioning technology, Decision Management or decision modeling. Last year’s event in London was great with a wide range of presentations and lots [...]

OneClick.ai is a company taking advantage of the fact that many AI problems use similar approaches to reduce the time and cost of individual AI projects. It was founded and received its initial funding in 2017, and launched the product last year. The company has a core team of 8 in the US and China [...]

March 27-29 I am teaching a 3-part online live training class that will prepare you to be immediately effective in a modern, collaborative and DMN standards-based approach to decision modeling. You’ll learn how to identify and prioritize the decisions that drive your business, see how to analyze and model these decisions, and understand the role these decisions [...]

SAS Decision Manager is SAS’ platform for decision automation and is getting a significant update in December 2017. I wrote a product review of SAS Decision Manager in 2014 and a number of things have changed in the new release, which is on the new SAS Platform and leverages new SAS Viya technologies. SAS Decision [...]

I am joining Eric Kavanagh of the Bloor Group to discuss Easy as Pi – Why Mathematicians Rock Data Science Thursday November 16 at 3pm Eastern. Do the math! Using analytics to drive business value often boils down to a formula of some kind. That’s why mathematicians are in such high demand these days. Whether for [...]

I have been working on Decision Management since we first started using the phrase back in 2002 – I’m probably the guilty party behind the phrase – and Decision Management Solutions (the company I run) does nothing but Decision Management. This gives us a unique perspective on new technologies and approaches that show up. One [...]

Silvie Spreeuwenburg of LibRT came up after lunch to talk about a rules-based approach to traffic management. Traffic management is a rapidly changing area, of course, thanks to IoT and self-driving cars among others. When one is considering traffic, there are many stakeholders. Not just the road user, also businesses reliant on road transport, safety [...]

Little bit of  a late start for me so I am starting with Geoffrey De Smet from Red Hat talking about constraint planning. He points out that some decisions cannot be easily solved with rules-based approaches – they can be described as decision (and as a DMN decision model in our experience) but not readily [...]

Open Data Group is an analytic deployment company. The company was started over 10 years ago and has transitioned from consulting to a product company, applying their expertise in Data Science and IT to create an analytic engine, FastScore. Successful analytics require organizational alignment (specifically between Data Science and IT) to create coordination of systems [...]

When the famous nerd webcomic XKCD pokes fun at how you use technology, it’s probably time to try a different approach. Recently he posted on Machine Learning and took a swipe at the mindless way some people approach machine learning.  His characters discuss a “machine learning system” that involves pouring data into a big pile of linear [...]