analytics

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 [...]

IBM is hosting an event on its AI strategy. Rob Thomas kicked off by asserting that all companies need an AI strategy and that getting success out of AI – 81% of projects fail due to data problems – involves a ladder of technology with data at the bottom and AI at the top. It’s [...]

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 [...]

I am giving a webinar on Delivering the Business Value of Analytics, August 14th at 10am Pacific/1pm Eastern. Many organizations still struggle to get a business return on their investment on advanced analytics. The biggest barrier? An inability to integrate analytics, especially predictive analytics, into frontline systems and business processes. Work with a number of [...]

I’m a big believer in decision models using the DMN industry standard notation and Decision Management Solutions uses it on all our projects – we’ve modeled over 3,000 decisions and trained over 1,000 people. But we don’t use executable decision models very often and strongly disagree with those that say the only good decision model [...]

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 [...]

We are relaunching our newsletter, in a GDPR-compliant way, with a focus on DecisionsFirst Digital Transformation. We were probably GDPR-compliant before but better safe than sorry. We send emails about every 3 or 4 weeks with information about resources, events and articles on Decision Management topics. For example, case studies in digital transformation; decision modeling as a [...]

An analytic enterprise uses analytics to solve its most critical run-the-business problems. It takes advantage of new tools and new data sources while ensuring analytic results are used in the real-world. An analytic enterprise uses analytics to solve its most critical run-the-business problems. It takes advantage of new tools and new data sources while ensuring [...]

An analytic enterprise uses analytics to solve its most critical run-the-business problems. It takes advantage of new tools and new data sources while ensuring analytic results are used in the real-world. An analytic enterprise uses analytics to solve its most critical run-the-business problems. It takes advantage of new tools and new data sources while ensuring [...]

An analytic enterprise uses analytics to solve its most critical run-the-business problems. It takes advantage of new tools and new data sources while ensuring analytic results are used in the real-world. This is the first of three blog posts about how to become an analytic enterprise: Focus on business decision-making (this post). Move beyond reporting [...]

A recent article on Dig-in talked about How insurers can think strategically about AI. It contained a killer quote from Chris Cheatham of RiskGenius: A lot of times people jump in and try AI without understanding the problem they’re trying to solve. Find the problem first, then figure out if AI can solve it, and what [...]

John Rymer and Mike Gualtieri of Forrester Research have just published a new piece of research – The Dawn Of Digital Decisioning: New Software Automates Immediate Insight-To-Action Cycles Crucial For Digital Business. This is a great paper – not only does it mention some Decision Management Solutions’ clients as examples, it makes some great points [...]

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 [...]

Jim Sinur, VP of Research and Aragon Fellow at Aragon Research recently posted “Better Decisions with Decision Management” to his blog. Jim begins by describing Decision Management as “another discipline that will help consistently deliver better decisions”, especially when added to analytics and AI. It’s great to have Jim’s focus turn to a Decision Management [...]

Analytics are only valuable if your enterprise’s decision making changes for the better. You need to build an analytic enterprise that leverages analytics to inform strategy, empower people, and especially drive systems.  An analytic enterprise uses analytics to solve its most critical run-the-business problems, and uses increasingly advanced and diverse analytics to maximize its ability [...]

Customers, IBM says, are moving to the cloud but they are transitioning through a hybrid solution. IBM is investing heavily in its cloud in terms of partnerships, technology, patents, volume, data centers etc. They announced two new partnerships this week – Cloudlfare and New Relic. The One Cloud architecture is particularly focused on AI and [...]

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 [...]

I have written before on how a decisions-first approach is ideal for success with AI. After reading David Roe‘s article 11 Questions Organizations need to Ask Before Buying into AI I thought a few more comments were in order: If you focus on decisions first and on how you must/could/want to make the decision, you can [...]