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Shanker Ramamurthy kicked off the session, describing how, as the world’s economy is digitized, the use of Big Data and analytics to compete in the new real-time economy becomes essential. The latency with which enterprises much develop and implement solutions is collapsing to zero. Customers are demanding more value for money at the same time, requiring not just faster [...]

At IBM Insight 2014 this week to hear about IBM’s latest data and analytics offerings. Tomorrow I will be speaking myself on how event-centric decisions represent an inflection point in real-time decision making. For now though it’s going to be all IBM. After some great rah-rah intro material from Jake Porway and Jeff Jonas, Bob Picciano came [...]

I am speaking at IBM Insight on Customer-Centric Enterprises Leverage IBM ODM Advanced to React Accurately to Risks and Opportunities at 1:45pm Pacific in Mariners B. Business rules combined with predictive analytics address a proven solution to a wide array of traditional business problems where micro decisions are to be made about individual customers at well [...]

I blogged a little about the tech preview of IBM’s Operational Decision Manager – Advanced product when I was at IMPACT and I recently got a full briefing on the new ODM Advanced release. ODM Advanced has been under development for about 2 years with early access for customers back in late 2013 and technology [...]

Last up an executive panel focused on Watson Analytics: How much data, how complex or what kind of data drives value from Watson Analytics? Self-service is core to the value proposition more than the kind of data or volume of data If you have only a little data then one of the interesting aspects is [...]

Steve Gold came up to talk about how IBM Watson. Watson, of course, started with the focus on analyzing unstructured data to present hypotheses and learn from the results. Watson brought together lots of IBM projects and technology and Watson Analytics is similar – a combination of various technologies and projects to solve a new problem. [...]

Next up at the IBM Watson Analytics Cloud announcement is a partner panel with SugarCRM, AVENT and Truven Health Analytics: AVENT is a global technology company with a deep services company with a group focused on using analytics. SugarCRM is a CRM software company focused on helping businesses create extraordinary customer relationships. Truven Health is focused on using [...]

Next up a customer panel with cspire, xo communications and Purdue University. First question was what new things can you do with Watson Analytics? Easily convert data into a story in the context of a business The cloud supports a very distributed workforce allowing  more people to access more advanced analytics Empowering people who would [...]

Dave Laverty kicked off IBM’s big Watson Analytics announcement event in New York.  The focus today, he says, is the reinvention of the analytic experience with a degree of simplicity that puts analytic power in the hands of everyone. Bob Picciano joined him to make the key announcements. Back in January IBM announced the Watson business unit, a vertically [...]

Brian McDonough has been writing (with Dan Vesset, Steve Hendrick, Henry Morris and others) on Decision Management at IDC for many years and he has recently published an IDC MarketScape: Worldwide Decision Management Software Platform 2014 Vendor Assessment. The report has an IDC MarketScape figure, IDC’s opinion on the Decision Management market, process and software as well as some [...]

A short video in which I discuss the past and future of Decision Management as part of celebrating IBM Press’ 10th year. I published Decision Management Systems:A Practical Guide to Using Business Rules and Predictive Analytics with IBM Press at the end of 2011 and you can but it direct from IBM Press here or amazon.com here.

The Hurwitz Group just published their Victory Index for Predictive Analytics. This is a great report on the core predictive analytic vendors written by Marcia Kaufman and Daniel Kirsch. The report covers Angoss, IBM, Megaputer, Pegasystems, Predixion, RapidMiner, Revolution Analytics, SAS, SAP, StatSoft. The report aims to assess four things about each vendor: Vision – how good the company’s strategy [...]

Last breakout session at the IBM Big Data and Analytics day in on the Internet of Things and Predictive Asset Maintenance. The IoT is creating new opportunities in all sorts of industries from route optimization to border control, power management in buildings to managing ATM infrastructure. Increasingly organizations want to respond in real-time to things being detected [...]

IBM recently introduced a Predictive Customer Intelligence solution. Like the counter fraud solution earlier, this is one of IBM’s multi-product and services signature solutions. The focus of this solution is the increasing need to be truly customer-centric, focusing marketing on individual customers not on segments or campaigns, not on pre-existing mental models or ideas. This matters [...]

An update next on IBM’s solution for counter-fraud.  For IBM fraud involves an intentional act that misrepresents and is both illegal and designed for financial gain. They further divide this into organized and opportunistic fraudsters for whom different kind of detection is required. Fraud is growing problem because: Fraud schemes are increasingly sophisticated with organized crime moving [...]

Continuing the IBM Big Data and Analytics event we come to Watson. Watson is designed to understand natural language, human-style communication. Watson then trawls through a potentially very large amount of material to create and score some hypotheses as answers for these questions and returns them. With each interaction it also learns what works, what the better answer [...]

Cloud, says IBM, is changing people’s expectations – they want the same kind of pricing, time to value, flexible access, ease of install for analytics that they get from other cloud applications. IBM is therefore very focused on delivering analytics in the cloud through a mixture of private, public and hybrid clouds. They are going to use [...]

Glenn finch and John Murphy talked about deepening business relevance. The challenge, he says, with much of the work around analytics and data is how easily it drops into discussions of security, integration, scalability, performance etc. What clients care about though is business relevance – business value – being created by the use of this plumbing. [...]

Alistair Rennie came up next to talking about how IBM is redefining the analytic experience. Some of this is “in the labs” and so may or may not show up in future products. From an experience point of view IBM sees some tension between the IT and business folks in an organization – the business [...]