machine learning

It’s been a while since I got an update from Cloudera (last time was in 2010, here). Since then, obviously, much has changed. Back in 2010 Cloudera was focused on storage and batch processing against this data with little focus on advanced analytics. Today, Cloudera has added support for real-time SQL queries through improvements in [...]

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 [...]

I recently caught up with Andrea Scarso, co-founder and COO of MoneyFarm. MoneyFarm is a startup whose target is to modernize and democratize the European panorama of retail investment services, leveraging the opportunities offered by the web and by process automation. Andrea designed the main decisioning processes. What’s your background, how did you come to be working in analytics? [...]

As part of our ongoing series on Marketing Decision Management solutions, I got an update from [24]7 recently. Based in Campbell, [24]7 was founded back in 2001 and is focused on helping companies deliver an intuitive customer experience. Still privately held, they were originally focused on managing contact centers, but for several years their primary [...]

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 [...]

I got an update from Convergys on their real-time decisioning engine recently. Convergys is a services company with 75,000 customer management employees across 69 contact centers around the world. They provide contact center outsourcing, technologies for customer contact centers and customer experience analytics. Convergys’ technologies are designed to support contact centers, covering IVR, campaign management, [...]

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 [...]

Syndicated from my blog on the International Institute for Analytics Site IIA is talking about analytics entering a new era, Analytics 3.0, The Era of Impact. What is Analytics 3.0? According to IIA, Analytics 3.0 marks the stage of maturity where leading organizations realize measurable business impact from the combination of traditional analytics and big data. High-performing companies [...]

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 [...]

Medio started in 2004 with a mobile-first focus on predictive analytics for customer engagement and monetization. Since then they have grown to over 80 people with a cloud-based solution designed to help companies boost engagement and monetization opportunities with their customers on mobile and other IP-connected devices. Medio specializes in personalized real-time information and recommendations [...]

I caught up with a local real-time decision making start up recently called Inkiru. Inkiru’s mission is to revolutionize real-time decision making by using the increasing volumes of data available to drive both insight and action. The core team is ex-Visa, PayPal, eBay, Chase, amazon with a focus in payments, fraud detection and security. The [...]

While there are many machine learning packages out there, BigML is trying to make them usable by people with just a little experience – to improve the learning curve of machine learning techniques. At the same time they also address the scale challenge as Gigabytes of data override the traditional algorithms. Their product is therefore [...]

KDNuggets had an interesting poll this week in which readers expressed themselves as Skeptical of Machine Learning replacing Domain Expertise. This struck me not because I disagree but because I think it is in some ways the wrong question: Any given decision is made based on a combination of information, know-how and pre-cursor decisions. The know-how [...]

EigenDog was founded in 2011 and launched their service for scalable predictive modeling in December 2011. Their objective was to provide scalability in machine learning. As we are all aware these days, more data tends to result in better predictive analytic models while better models can result in better business results. EigenDog’s perspective is that [...]

Netuitive provides predictive analytics for IT. Based in Reston VA and founded in 2002 they have over 50large enterprise customers and 300 more through OEMs. Their solution is designed to prevent degradations and outages to critical applications and services by providing an intelligence layer on top of existing monitoring systems. Companies use the software for [...]

I got a chance to catch up with 11Ants Analytics recently. 11Ants Analytics is a spin-off out of the University of Waikato (the source of the WEKA project), and has commercialized technology for automating the production of predictive models. The technology was inspired by research at Waikato – a leading center for machine learning.. 11Ants [...]