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I blogged last week about IBM’s AI approach and one piece was still under NDA – new capabilities around trust and transparency. These capabilities were announced today. As part of trying to address the challenges of AI, IBM has added a trust and transparency layer to its ladder of AI capabilities (described here). They see [...]

IBM Event: Changing the Way We Work

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. [...]

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 [...]

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 [...]

First Look: Open Data Group

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 [...]

First Look: DataRobot

DataRobot is focused on automated machine learning and on helping customers build an AI driven business, especially by focusing on decisions that can be automated using machine learning and other AI technologies. DataRobot was founded in 2012 and currently has nearly 300 staff including 150+ data scientists. Since it was founded, well over 200M models have [...]

The Rexer Data Science survey is one of the best and longest running polls of data mining, analytic and data science professionals. I regularly refer to it and blog about it. It’s time to take this year’s survey – and the survey is aimed at all analytic people, no matter whether they consider themselves to be Data Analysts, [...]

SAP BusinessObjects Predictive Analytics 3.1 is the current release of the SAP predictive analytic suite. Like most in the analytics space, SAP sees its clients struggling to make use of massive amounts of data that are newly available while facing ever increasing business expectations, faster business decision cycles and an analytical skill gap. SAP therefore [...]

I have trained a lot of practitioners in the Decision Model and Notation (DMN) – I am closing in on 1,000 decision modeling trainees now – and one of the interesting questions is always their motivation for using decision models. As I look back across all the folks I have trained, four motivations seem to bubble [...]

I am participating in a webinar on “The citizen data scientist: Can you democratize analytics for better business outcomes?” with Information Management, sponsored by Dell. Analytics is about better understanding customers, markets, and other phenomena that impact business performance. So while PhDs in mathematics and computer science play an important role in analytics success, employees with [...]

An additional blog post here on a session at Building Business Capability that I missed – Business Analysis for Data Science teams. I know Susan Meyer who presented it and we talked several times about her presentation. It’s a really key topic so I wanted to present a summary. Here goes: There is a lot [...]

One of the announcements at IBM’s World of Watson is of the new Watson Machine Learning Service. I got a chance to ask a few questions about this new capability. A couple of key elements emerged regarding the current platform and the immediate announcement. First, some context. The Watson Data Platform (also announced at World of [...]

Second keynote at IBM’s World of Watson is on the role of cloud and data as the foundation for cognitive systems and businesses. Bob Picciano from IBM’s analytics business kicked things off. Bob began with a discussion of how IT’s value has changed – from a focus on processing and how fast/cheap it can be done to a [...]

I was recently listed as one of the top Big Data/Data Science leaders on LinkedIn by KDnuggets. I was delighted to be on the list and to share it with some great thinkers and writers. My interest, as regular readers of the blog will know, is not really on how you build analytic models or apply data science techniques [...]

I recently got a chance to catch up with the IBM SPSS team for an update. Analytics, in IBM’s view and mine, are increasingly necessary as digitization increases the scale of business data and digital disruptors increase the difficulty of making good decisions. For those being disrupted analytics offers a powerful way to fight back. [...]

First Look: Modelshop

Modelshop was founded by Tom Tobin, someone who has spent his career building analytic applications in credit origination, portfolio optimization, risk management and fraud detection for major financial institutions. Tom’s vision for Modelshop is to make the technologies that enable these types of solutions available to all organizations so they can make their analytics actionable. [...]

First Look: DMWay

I got a briefing from a new predictive analytics vendor, DMWay. DMWay was founded in 2014 based on significant research over the previous decades. DMWay had a first VC round in 2015, have 20+ employees and dozens of customers. DMWay is focused on democratizing data science and automating machine learning so that those with business [...]

Jan Purchase of LuxMagi and I are working away on our new book, Available now! Real-World Decision Modeling with DMN and one of the questions we have been asking ourselves is who we are aiming the book at – who builds decision models? Jan had a great post on Who Models Business Decisions? recently to address this question and I wanted [...]

Next up at the SAS Inside Intelligence event are some technology highlights, each based around a day in the life of a particular role. Much of this is under NDA of course. Ryan Schmiedl kicked off with a quick recap of last year’s technology – 150 significant releases across the SAS focus areas. In analytics for instance Factory [...]

I am at the SAS Inside Intelligence event in Steamboat getting the annual update on all things SAS. First session of the day is the Executive Viewpoint. Jim Goodnight and Randy Guard kicked things off. Creating a single global organization was a big part of last year with legal, finance, sales, marketing and more becoming global [...]