streaming

SAS Decision Manager is SAS’ platform for decision automation and is getting a significant update in December 2017. I wrote a product review of SAS Decision Manager in 2014 and a number of things have changed in the new release, which is on the new SAS Platform and leverages new SAS Viya technologies. SAS Decision [...]

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 [...]

FICO made a series of announcements today at FICOWorld 2016. The event kicked off with a fun retrospective of the 60 year history of FICO. Bill Fair and Early Isaac founded the company in 1956 to use data and analytics to improve decision-making. This focus has not changed really in all the years since – FICO is still [...]

Next up at the SAS Inside Intelligence event are some technology highlights, each based around a day in the life of a particular role. Much of this is under NDA of course. Ryan Schmiedl kicked off with a quick recap of last year’s technology – 150 significant releases across the SAS focus areas. In analytics for instance Factory [...]

Another Think Big employee came up to talk about real-time big data especially around event analytics. Real-time, he says, is generally something happening in a second or so not minutes or hours. Might be push or pull but what matters is the time from data in to data out. Real-time responses, he pointed out,  need [...]

Continuing at the Teradata Influencers event with a discussion of Teradata Listener. Teradata Listener provides real time streaming data support., intending to make it easy to allow multiple projects in an enterprise to listen to streaming data, capture it and make it available for later analysis. It’s based on open source and software only. It [...]

Jake Porway came back to talk about the coming explosion of data. With the Internet of Things, drones and more sensors everywhere, our current view of “big data” is going to seem quaint in the not too distant future. So much more data is going to come flooding in we have to adopt new technologies and new [...]

I got an update from WebAction recently. WebAction was founded in 2012, is backed by Summit Partners and is headquartered in Palo Alto, CA. The founders come from working together at GoldenGate and some prior companies, such as WebLogic. WebAction’s focus is on what they call “Data Driven Apps” – on moving from data presentation [...]

Beth Smith and Fred Balboni kicked things off at the IBM Big Data & Analytics Summit. IBM has been making big investments in data, Big Data and analytics. Increasingly they see customers using data for competitive advantage in new ways, taking advantage of the cloud for development and deployment. In particular they see their customers using [...]

Some data-centric technical experts participated in a second panel at IMPACT.  There were a number o data-centric  announcements at IMPACT and they quickly recapped these announcements: New Power Systems Real-time actionable insight – capturing events and data at high speed, predicting probabilities from this data, driving this into decisions by embedding existing their Decision Management [...]

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 [...]

I last wrote about SQLstream back in 2012 and got an update from them recently. Recent news includes a partnership with Oracle and new performance benchmarks (against Hadoop Storm for instance), and their latest SQLstream 4.0 release. New 4.0 features include Performance optimization of the streaming integration layer and the UDX mechanism for SQL extensions [...]

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 [...]

IBM has recently released IBM SPSS Modeler 16 with three distinct packages: Professional with everything for structured data Premium adds text analytics, entity analytics and social network analysis Gold adds the Decision Management capabilities to the Premium package IBM SPSS Analytical Decision Management (ADM) will increasingly be included in the IBM SPSS Modeler Gold package [...]

A couple of weeks ago I posted a sneak peek of some of the results from our survey on Predictive Analytics in the Cloud. With a week to go until the results webinar over on Information Management I thought I would post a few more. If you want to see the webinar or a recording of it, [...]

The third and final post in my series on the impact of Big Data on Decision Management Systems: The impact of Velocity. As more data arrives more quickly we have to deal with velocity in two ways – we have to decide more quickly and we have to deal with data “in motion” – streaming [...]

Next up is a session on the new infrastructure and platforms for analytics. IBM’s view (and I would agree) is that use cases for analytics are evolving to increasingly combine traditional structured data and newer unstructured, more dynamic, “Big Data” sources. As customers change the time frames in which they need to make decisions (more [...]

Now time for a panel of IBMers focused on innovation moderated by John Hagerty. Some topics from the panel: IBM Research A big part of innovation at IBM is their focus on research. IBM research creates strategic initiatives driven by a Global Technology Outlook. This same technology outlook drives some “big bets” on things like [...]

Another customer panel followed focused on big data and analytics use cases with a particular focus on streaming data, data in motion. Customers were University of Ontario Institute of Technology and Aginity. Dr Carolyn McGregor from UOIT is someone I have blogged about before. Her focus was on using analytics to process the data from [...]