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The team over at Baseball Prospectus led by Jeff Long came to us at the end of last year with collaboration request. The concept was to use Ayasdi’s Machine Intelligence software to look at baseball in the same way that Muthu Alagappan looked at basketball. The result of this collaboration is really cool and underscores […]

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Michael Woods blew away the room at OpRiskNA last month with his discussion on how Machine Intelligence helps construct effective revenue forecast models for CCAR. While we talk about the subject in some detail below, the video of the talk and the superb Q&A that follows is not to be missed. Check it out here: […]

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This interview originally appeared at KDnuggets in three parts. For ease of reading, we have included the entire interview in one place. Please be sure to visit the KDnuggets site for all the latest on Data Mining, analytics, Big Data and Data Science.    Anthony Bak is a principal data scientist at Ayasdi, where he designs machine […]

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When I was in business school we used to talk about ourselves in terms of quants and poets.  Having a liberal arts degree and having worked in politics put me squarely in the poet category – a domain I still occupy, especially at a company founded by and dominated by some of the world’s most […]

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Diabetes

Today we announced two things of significance for Ayasdi that will help to define the future of the company. First off, we announced significant year over year growth in customers, revenues, bookings and annual contract value.  These growth milestones don’t just tell the story of a rapidly growing enterprise –  they tell a story of […]

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Everyone knows that there is currently a great deal of discussion about “Big Data”. It turns out, though, that complexity of the data is as much of a difficulty in making use of the data as is the sheer size. We have made enormous strides in handling size of data, to a point where the […]

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Healthcare in America is becoming increasingly electronic and data-driven. Mining this wealth of data in EMRs will enable care providers to deliver better, cheaper and more timely healthcare in the future.  The key to this transformation often lies with the healthcare’s own four walls.  Healthcare providers can use their existing data to understand what care […]

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Gartner

We are gearing up for the Gartner BI & Analytics Conference at the end of the month. It is one of the most well-attended events in the big data calendar each year. This naturally precipitated some conversations about where the industry is headed. In preparation for the show, Gartner shared some new data that was […]

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The Fed released its first of two pronouncements yesterday on the health of the financial services sector.  The first was the Dodd-Frank mandated Stress Test for qualifying financial institutions.  The goal is to determine how resilient those organizations are to potential financial shocks. To achieve this the Federal Reserve oversees a number of scenarios (company-run […]

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At the recent Strata+Hadoop World in San Jose, Ayasdi demoed our software in Intel’s pavilion to significant interest. We also presented on Ayasdi’s perspective on “Complexity, Compute and Storage”: Some of the highlights from this 20 minute presentation are captured below.  Feel free to reach out to us at engineering@ayasdi.com if you want to talk […]

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Ayasdi Approach

It is interesting to read the recent flurry of articles and blog posts discussing the role of General-Purpose Graphics Processing Units (GPGPUs) in machine learning, some even claiming that the co-processors will revolutionize AI.   I’ve been a long time believer in the value of HW accelerators, both on-chip and off-chip, and even architected some […]

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Gurjeet Singh was on the floor at Strata+Hadoop World this week to talk about why data complexity is more important than data size. It makes sense, you can support a show of the size of Strata+ Hadoop precisely because of the advancements made in data storage.  The “big” in the big data equation has effectively […]

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The Human Brain as a Topological Network of Biological Functions

Healthcare in America is becoming increasingly electronic and data-driven.  Databases of Electronic Medical Records (EMRs) are rapidly replacing the traditional pen-and-paper practice, collecting years of diagnoses, lab test results, surgical records, doctor’s notes, etc. into a single searchable data store. Mining this wealth of data will enable care providers to deliver better, cheaper and more […]

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This morning we were named one of Fast Company’s Most Innovative Companies in the world for Big Data.    This is a remarkable achievement for a company our size and age and we are both flattered and humbled at our inclusion alongside such innovators as Apple, Google, Netflix, Tesla Motors, and 2015 Winner Warby Parker. […]

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We recently were named to the AlwaysOn Top 100 Private Companies List for 2015 and needless to say we are delighted. AlwaysOn is run by the inimitable Tony Perkins. Tony called out the winners on his list on their blog post by saying: “The OnCloud Top 100 represents the best-of-breed of private companies in B2B […]

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As the Chief Revenue Officer of Ayasdi, I often field questions from clients about how they get started. It is a reasonable question. While the power of Ayasdi’s approach is easily discernible and the beauty of Topological Data Analysis is immediately apparent, how to put it into flight is often not. This is a function […]

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We were delighted to see that we recently made Inc.’s list of companies making a difference in Big Data.  All of the companies on the list had an angle based on Inc’s criteria but we were particularly pleased to see SumAll.org on the list.  SumAll.org uses Ayasdi software (among other tools) and we collaborated on […]

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2014 has been a landmark year for Big Data. The most spectacular example of this was the Hortonworks IPO – a success by any measure. As we look forward to 2015, it is clear that while big data technologies still have a long ways to go in terms of enterprise adoption, its ultimate adoption is […]

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Topological data analysis has been very successful in discovering information in many large and complex data sets. In this post, I would like to discuss the reasons why it is an effective methodology. One of the key messages around topological data analysis is that data has shape and the shape matters. Although it may appear […]

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Figure 4

  1. Centre for Proteomic Research, University of Southampton, UK. 2. NIHR Southampton Respiratory Biomedical Research Unit, Southampton University Hospital, UK. 3. Ayasdi Inc, USA. 4. Imperial College, London, UK. 5. Janssen R&D, UK  One of the great things about our collaboration program is seeing the impact in makes across a number of different industries. […]

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