The term Artificial Intelligence in 2017 feels a bit like cloud computing back in 2010 – it’s the hot buzz phrase of the moment and it’s being broadly over-applied and mis-applied in industry. I find that I can get asked about artificial intelligence, machine learning, cognitive computing, machine intelligence and advanced analytics all in the […]

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This morning we had one of those “Wow this is going to change the world” moments here at Ayasdi.  Dr. David Schneider, who leads one of the 300 or so medical research teams using the Ayasdi artificial intelligence platform, came in to talk at our weekly company all-hands meeting about the work he is doing […]

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Last month we were honored to be recognized as the winner of the new Artificial Intelligence category of the prestigious 2017 Chartis RiskTech100® report. The report by Chartis, the leading provider of research and analysis on the global market for risk technology, is recognized as the most comprehensive study of the world’s most significant risk and compliance technology companies. Download the report to learn why Ayasdi was awarded the #1 Artificial Intelligence platform.

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Whether you are apoplectic or euphoric about the results of the election, there is a higher level issue that the results bring into focus. To name the matter, the November 8 election brings out the fact that human bias and weak signals in complex data really, really matter. It also clearly articulates the best imaginable […]

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Upgrade Capital held its Data Demo Day on April 28th, 2016 to present outstanding examples of quantitative research completed by students to select buy-side professionals. This year, four students were chosen out of over 1,300 participants in the Code in Finance program. Aldo Eysaman from Boston College was invited to present a series of projects he […]

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Cluster analysis is a highly developed field within statistics. It takes as input a set X equipped with a distance function, and potentially some other information, and from that produces a partition of the set, i.e. a decomposition of the set into a collection of groups so that (a) the sets in the collection do […]

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Machine learning is generating a tremendous amount of attention these days from the press as well as the practitioners. And rightly so – machine learning is a transformative technology. But despite the references to the topic, the money raised from venture capitalists, and the spotlight that Google is bringing to the subject, machine learning is […]

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The Future of Machine Learning is an incredible topic worthy of thick books.  The challenge is that because the area is moving so quickly information becomes obsolete in the blink of an eye.  O’Reilly Media solved that problem by publishing an excellent ebook on the subject with interviews by leading practitioners.  At 77 pages, it […]

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The Gartner BI & Analytics Conference is next week. It is one of the most well-attended events in the big data calendar each year with some great presentations and an all-star cast of analyst and analytics vendors.  As we have written before, we see the big data ecosystem as having three parts: storage, analytics and visualization. […]

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With heavy regulatory requirements and the pressure to cut costs, banks are increasingly turning to technology to increase efficiency and effectiveness. Having a fine-grained understanding of its customers and their activities is at the heart of several global banking functions. For instance, Private Banking teams are trying to market the right financial product to the […]

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The StartUpGrind is a unique event/community that has touched down in 200 cites in 85 countries and touched 400,000 entrepreneurs.  Powered by Google, its unique style of conversation vs. pitch has endeared it to content hungry entrepreneurs from around the globe.  Part classroom, part incubator, part confessional the focus is on the lessons that entrepreneurs […]

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Today we announced a key partnership with Intermountain Health where they will deploy our Clinical Variation Management software to accelerate the process of developing, deploying and measuring care process models. The reason that the partnership is so significant is that Intermountain is the undisputed leader in the clinical variation space – and for them to […]

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In the wake of the credit markets implosion in 2008, the Global Systemically Important Banks (G-SIB) were faced with a multitude of challenges. Challenges around risk management, reputation, financial stability – and not least regulation. The new mantra from regulators was to ensure that the G-SIB could endure extreme volatility and prolonged periods of economic […]

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In our earlier post, we saw that data can exhibit a great deal of complexity, and observed that complexity is often the most significant hurdle to overcome in the analysis process. In this post, we will show how topological data analysis (TDA) can overcome this hurdle, and deal with the great diversity of patterns that […]

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Geoffrey Moore’s Crossing the Chasm is part of the Silicon Valley canon—and for good reason. Its technology adoption model remains as relevant today as it was when it was published in 1991. Its core tenant was that for young companies to succeed, they had to cross the chasm of the innovators and early adopters to […]

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The biggest show in hospital technology/IT is only weeks away and in all the pre-show buzz one thing is abundantly clear – this is an industry that is still focused more on gathering and organizing data and less on using that data to deliver on the promise of value-based care. That is about to change.  […]

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Another day, another report emerges on the huge losses commercial payers are incurring on individual plan products on the health insurance exchanges with the so-called “risk corridors” providing little or no protection from such losses.  The premise of “risk sharing” between providers, payers and consumers within carefully defined networks should, in principle, offer an ideal […]

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As we kick off 2016 and prepare for the Presidential stretch run, we thought it prudent to examine how Topological Data Analysis can find patterns and insights in survey data. In particular, we are focused on extracting subtle relationships that don’t present themselves willingly, but are valuable to understand. In this installment, we are going […]

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Predicting the future in the financial markets is notoriously hard and – due to a number of well understood tenets, even more difficult to do for a sustained period of time. In the case of publicly traded securities, price series (and their relationship to macroeconomic indicators) often demonstrate stability over selected time periods. These trends and […]

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“Is the model a black-box?” This is a question that many a data scientist struggle with in communicating with business. In all fairness, there are plenty of business situations which require the models to be transparent, such as: Regulations – in many industries such as financial services and healthcare, the models used to make predictions […]

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