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 [...]
data scientist
SAS is upgrading its in-memory analytics products with SAS® Visual Statistics (forthcoming) and SAS® In-Memory Statistics for Hadoop. SAS In-Memory Statistics for Hadoop is available now and SAS Visual Statistics is going to be shipping in July of 2014. SAS Visual Statistics is based on the SAS® LASR™ Analytic Server for in-memory processing and is [...]
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 [...]
If you are a data analyst, data scientist, data miner or other analytics professional you should see this. Thanks to @jimsterne for sharing!
I got an update from Actian about their new announcement recently. Actian recently acquired ParAccel (reviewed here) and Pervasive (see my reviews of RushAnalyzer and DataRush) and for 2014 they are bringing all this IP together into a new Actian Analytic Platform. Actian is now a $140m company with strong profits and 10,000+ customers including [...]
Last year I interested Andrea Scarso, CEO of MoneyFarm, about analytics. This was a hugely popular post so I thought I would continue the series this year by interviewing some other analytic practitioners. The first in this continuing series is an interview with Tracy Allison Altman, co-founder of Ugly Research. Ugly Research are developing PepperSlice, [...]
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 [...]
Neil focused his session on Analytics. Analytics, he says, has roared to the front office in recent years (driven in part by the explosion of data and data management technology). Big, as in Big Data, is relative. The rate of increase has not particularly changed in recent years but the rate of increase is being [...]
SAP recently acquired KXEN, a leading provider of predictive analytics technology, to complement SAP’s existing analytic products. I have previously written about both companies’ products and this week got a chance to chat with John Ball, CEO of KXEN, as well as a number of executives on the SAP side. This is an important acquisition [...]
As part of an ongoing expansion of our ecosystem mapping to include more Hadoop-based products I recently got an update from Datameer. Datameer was founded back in 2009 by Stefan Groschupf, who was one of the original contributors to Nutch, the open source project that spun off Hadoop. Prior to starting Datameer, he and the [...]
I got an update from SAP on their Predictive Analytics products. Back in December I got a briefing on the Windows client (that went GA in November 2012) and the SAP HANA (SAP’s in-memory database) libraries related to it. SAP, like me, is seeing a lot of demand for predictive analytics with existing clients needing [...]
As part of some ongoing research on support for PMML I recently spoke with Concurrent. Concurrent is an enterprise software company focused on simplifying Big Data development on Hadoop. The company’s core product is called Cascading. This is a free, open-source, development framework for Apache Hadoop designed to let developers build sophisticated data processing applications [...]
Continuing to expand on the questions I asked Andrea Scarso co-founder and COO of MoneyFarm when I interviewed him I wanted to focus on the question “How, specifically, do you develop requirements for analytic projects?” “In my opinion, it is paramount to start from the single and specific decision needed. Then, with a top-down process, to analyze its component elements: hard data, [...]
One of the questions I asked Andrea Scarso co-founder and COO of MoneyFarm when I interviewed him was “In your experience what are some of the top challenges for analytic professionals in terms of maximizing the business impact of what they do?” In this post I’ll take a couple of his comments and expand on them [...]
Big Data is often described in terms of an increase in volume, an increase in velocity and an increase in variety: More data, of more types, arriving more quickly. In this short series of blog posts I will discuss the impact of each aspect of Big Data on Decision Management Systems – systems designed to [...]
There are lots of articles these days about the challenges of recruiting enough data scientists, predictive analytic specialists or data miner (whatever you call them). There’s not enough of them and it’s hard for most companies to compete with Google, Amazon, Facebook et al let alone political campaigns and startups. For most companies simply going [...]
It’s been over a year since I last got updated on Zementis (their 3.5 release of ADAPA and PMML Universal Plug-in). Since then they have been busy adding support for new platforms and signing new partnerships. Most recently they have announced a strategic alliance between Zementis and FICO, something Zementis sees as a big win for [...]
In-memory databases and in-memory analytics are interesting technologies when it comes to Decision Management Systems. Memory is thousands of times faster than disk and the amount of memory on a node is increasing rapidly. Putting data is put in memory and executing analytics against it, especially if the analytics engine has plenty of memory too, can [...]
Precog was founded in late 2010 to solve the challenges identified by the founder when he was working on developing an online advertising platform. An online ad platform generates a tremendous amount of data, data that can be used to target ads or select specific creative for an ad, but managing and using this data [...]
Since I last wrote about Revolution Analytics (back when they announced their Netezza relationship) they have added some new management and are growing fast. In particular they see lots of big data experimentation evolving into actual projects. To recap, Revolution Analytics is a commercial analytics company based on the open source R statistics language. The [...]
