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The International Institute for Analytics (I’m a faculty member) recently hosted me for a webinar on Digital Decisioning: Driving Business Value from Advanced Analytics, Machine Learning and AI. In the webinar I discussed the opportunities and challenges of Machine Learning (ML) and Artificial Intelligence (AI), introduced Digital Decisioning – it’s value, principles and how to […]
A great article appeared in Information Age recently based on an interview with Tom Davenport If you want to see the benefits of AI, forget moonshots and think boring. In it, Tom argues that “if enterprises ever want to see the benefits of AI, they must embrace the mundane”. This is particularly true for companies […]
Many speakers on predictive analytics, machine learning (ML) and AI talk about the need to allow data science teams to fail. Without failure, without a willingness to fail sometimes, it’s very hard to build a successful data science program. This is true and often a barrier for companies that find it hard to accept that not all analytics initiatives succeed.
Think 2019 is here! Sharpen your skills. Get hands-on experience with the latest technology. Extend your professional network. It’s virtually impossible not to learn something new among this celebrated community of technologists and thought leaders. And have some fun while you’re at it. Explore the technologies that are redefining industries, learn from the experts, and get […]
Joe Decosmo, CAO of Enova Decisions and someone we know from our work at the International Institute for Analytics wrote a nice piece in Forbes today – Why You Should Take A Decision-First Approach To Analytics. Joe makes some great points in his post and leads off with a shout out to the Decision Management Manifesto. Like […]
Many, most, companies are actively considering using AI in their business, but few are making much progress. Some of this is due to a poorly defined approach. Some is due to confusion as to what AI means – mixing conversational AI (a user experience technology) with decision-making AI (an extension of predictive analytics and machine […]
Add decision modeling and a DecisionsFirst approach to analytics to this established AI Solution Decomposition Process to make it more effective.
To succeed with AI, focus on decisions, not a separate initiative. As companies invest in AI technologies, it is clear a technology-led approach does not work. To get business value from AI, companies should focus AI efforts on improving business decisions. A recent survey of executives adopting Artificial Intelligence (AI) provides critical context for companies […]
Happy New Year! 2017 saw strong growth in decision management and decision modeling with DMN, especially in claims, underwriting, marketing and origination. Customers increasingly are choosing Decision Management to integrate advanced analytics, business rules and AI into their operational systems, and deliver consistent decisions across multiple applications and channels. There were also notable changes in how customers […]
Enterprise Architects partner with the business to help them take full advantage of the technologies that their organizations are using, or should be using, like advanced analytics and AI. They map technologies to the business requirements, and ensure that technologies are applied cost-effectively and for maximum business benefit. But describing the benefits of these new […]