real-time

Marie Wieck came back to discuss how to create the kind of composable business  IBM discussed on day 1. It’s critical, she says, to keep customers at the center and drive a new process from this. It’s key to use data to make better decisions, and it’s important to have the kind of scalable infrastructure [...]

Tangerine Bank, an IBM customer, kicked off IBM IMPACT 2014 discussing how they are using technology to re-imagining and simplifying banking. In particular Tangerine is focused on becoming a mobile-centric or mobile first bank. They are trying to raise the bar on mobile banking applications, adding things such as voice activation and offline access. Working with [...]

SAP recently summarized their Advanced Analytic solution stack, putting all their various advanced analytic components into a single solution stack. SAP sees advanced analytics as important as being competitive in the future will rely on an ability to leverage all kinds of data. They see Big Data, the Internet of Things, the need for increasingly [...]

I am speaking at IBM’s IMPACT 2014 on The Mobile Enterprise – Driving the Need for Better Decisions & Smarter Processes (SPD-2798), Tuesday April 29 at 3:45pm The consumerization of technology in enterprises, increasingly mobile employees and the demands of more social, mobile and connected consumers are putting increased pressure on enterprises. Adopting mobile management and [...]

I recently completed some research on responding in real-time, discussing the need for both event processing and decision management in a solution. The research was sponsored by Oracle and you can see the video below: The white paper is here (registration required).

As part of my ongoing series on Marketing Decision Management solutions I recently caught up with Granata Decision Systems. Granata was founded in 2012 by folks from the University of Toronto who specialize in optimization and AI. GDS’ product is a marketing optimization solution targeted at organizations with a relatively sophisticated customer analytics environment who [...]

As part of the Big Data Webcast series from Oracle I will be giving a webinar on Responding in Real-Time Tuesday March 25 at 1pm ET High-volume, high-speed front-line decisions must increasingly be made in real-time with big data and analytics that are actionable and operational. How do you harness the power of big data to [...]

I recently gave a webinar with Jan Purchase of LuxMagi on Agile and Cost Effective Financial Compliance (recording here) and thought I would highlight some of the key challenges in compliance: Scale, Transparency, Consistency, Agility and Effectiveness: Scale There are more and more regulations that involve an increasing number of rules to ensure compliance. Decision Management, and decision [...]

I first got a briefing on Dulles Research Carolina back in 2010 and I recently got an update. Dulles Research was founded in 2005 and came to market with Carolina, their SAS to Java convertor, in 2009. A U.S. patent was awarded to Dulles last year for the SAS to Java conversion process. At its [...]

Oracle Event Processing is designed to provide high throughput and low latency processing against continuously streaming data—what is sometimes call Complex Event Processing. It handles real-time correlation between incoming data streams, time sensitive alerts, aggregations and calculations, pattern seeking in the stream etc. Critically, especially when one is dealing with very large volumes of streaming [...]

In this series so far we have discussed a number of standards – R, PMML and Hadoop – that are well established. There are also some future developments that are worth considering—the emergence of the Decision Model and Notation standard, growing acceptance of Hadoop 2 and planned updates to PMML specifically. As regular readers of [...]

With the fourth post in this series I am going to talk about Hadoop – something with even more hype than R or predictive analytics. As we all know the era of Big Data has arrived. As anyone who reads the IT or business press knows, there is more data available today,  this data is no longer [...]

The third post in my series on standards in Predictive Analytics is on R, a hot topic in analytic circles these days. R is fundamentally an interpreted language for statistical computing and for the graphical display of results associated with these statistics. Highly extensible, it is available as free and open source software. The core environment [...]

Continuing my series on standards in Predictive Analytics I am going to talk first about PMML. PMML is an XML standard for the interchange of predictive analytic models developed by the Data Mining Group. The basic structure is an XML format document that contains a header, a data dictionary, data transformations and one or more models each [...]

I am working on a paper, for publication in early 2014, on the role of standards such as R, Hadoop and PMML in the mainstreaming of predictive analytics.  As I do so I will be publishing a few blog posts. I thought I would start with a quick introduction to the topic now and then [...]

i4C Analytics is focused on delivering advanced analytic applications for specific industries and business decisions. These packaged analytic applications apply predictive analytics in real-time in a highly automated environment. The applications use automated analytic model creation as well as allowing data scientists and predictive analytic professionals to integrate their own models to solve the business problems [...]

This week’s white paper of the week is “Responsive Customer Engagement in Banking:” Relevance, real-time and recency drive improved customer engagement. Banks are facing new competitive dynamics, increasing regulatory requirements, and more demanding customers. Building share of wallet with existing customers is critical to future growth. Banks must create responsive customer engagement by delivering relevant [...]

Jim Sinur, Gartner Emeritus, is next at Building Business Capability talking about the possibilities of transformation resulting from BPM and process models. Businesses, he says, are in a battle to lead in revenue per hour worked. This means a constant focus on increasing productivity and the linkage of every action to desired business outcomes. It [...]

The old way: Big data is a hot topic. Big Data was coined as a term by Gartner to mean data that has Volume (more data), Variety (of many types) and Velocity (that arrives more rapidly). Value is extracted from big data using advanced analytics such as data mining and predictive analytics. This data can [...]