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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. [...]

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 [...]

IBM Event: Making Data Ready for AI

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 [...]

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 [...]

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 [...]

Ginni Rometty kicks off the main event with her opening keynote focusing on putting smart to work. Her premise is that everything could be changing now because business and technology architectures are changing at the same time – something that does not happen very often. The opportunity is for exponential change across all businesses thanks [...]

AI is a decision-making technology. A focus on decisions, not a separate AI initiative, delivers business value and a strong ROI. A recent HBS survey of executives adopting Artificial Intelligence (AI) provides critical context for companies considering how best to invest in AI: Few companies have made much progress to date — most are experimenting. [...]

First Look: OneClick.ai

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 [...]

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 [...]

AI is a hot topic and we get asked a lot by clients how they can succeed with AI or cognitive technology. There’s often a sense of panic – “everyone is doing AI and we’re not!” – and a sense that they have to start a completely separate initiative, throw money at it and hope [...]

I am going to Tokyo at the end of July to talk Decision Management, DMN and AI. The event is Monday July 24, 2017 2pm- 5pm at the Japan Education Center. I’m going to discuss Decision Management and the role of technology for Business Rules, Big Data Analytics and AI in delivering it. I’ll introduce [...]

Last session for me at IBM’s World of Watson is the keynote from IBM CEO, Ginni Rometty. Another very slick video on the different ways IBM’s cognitive, cloud and analytic solutions are being used around the world got us started. And again, IBM emphasized “with Watson” as part of their ongoing positioning of Watson as additive to people, [...]

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 [...]

It’s opening keynote time at IBM’s World of Watson 2016 and we kicked off with a video history of Watson from Jeopardy to today. Dr John Kelly of IBM got us started, emphasizing how rapidly interest in Watson has grown over the last year or two.  In August 2007, he says, a small team of researchers [...]

Continuing in the analyst program at IBM’s World of Watson event with Beth Smith, GM Offerings and Technology for IBM Watson, introducing some Watson elements for Conversation – one of the four C’s of Watson (Cloud, Content, Compute and Conversation). Watson, at its core, is about finding knowledge in noisy data at enormous scale. Watson listens to [...]

I am attending IBM’s World of Watson and will be blogging as much as I can. First up is a two-part session on Advanced Analytics and how you can put advanced analytics at the heart of a Cognitive strategy. Paul Zikopoulos kicked things off talking about the potential for data to transform business and the [...]