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How to Master Business Planning with Time Series Forecasting

Posted by Jess Lin

1/17/17 10:15 AM

Every analyst report, news article, and business conference has drummed into our collective minds that predictive analytics is the way of the future. If you can predict future sales, you can funnel that knowledge into driving optimal sales and business operations. Smart businesses are leveraging big data insights to leave their competitors in the dust, or at least so they say.

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Topics: Eureqa, Time Series Forecasting, Business Planning

Eureqa Hits Wall Street; Automatically Identifies Key Predictive Relationships

Posted by Jason Kutarnia

12/1/16 10:46 AM

As a team of data scientists, analysts and software developers, we didn’t expect to be praised as financial gurus. But in an industry of ever-present uncertainly and huge financial gains and losses at stake, Eureqa, the dynamic modeling engine, displays a unique competitive advantage in the technology stack: the ability to quickly derive extremely accurate and simple-to-understand models that predict what will happen in the future, and why.

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Topics: Eureqa, Machine Intelligence, Financial Analysis

Machine Intelligence with Michael Schmidt: Searching data for causation

Posted by Michael Schmidt

7/27/16 10:03 AM

The holy grail of data analytics is finding “causation” in data: identifying which variables, inputs, and processes are driving the outcome of a problem. The entire field of econometrics, for example, is dedicated to studying and characterizing where causation exists. Actually proving causation, however, is extremely difficult, typically involving carefully controlled experiments. To even get started, analysts need to know which variables are important to include in the evaluation, which need to be controlled for, and which to ignore. From there, they can build a model, design an experiment to test its causal predictions, and iterate until they arrive at a conclusion.

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Topics: Eureqa, Machine Intelligence, Causation

The “First Mover’s” Analytics Stack, 2015 vs. 2016

Posted by Jon Millis

7/1/16 10:00 AM

The irony of data science is the glacial and blazing speed at which the industry seems to move. It’s been more than 10 years since the origin of the phrase “big data”, and yet what we initially set out to accomplish – extracting valuable answers from data – is still a painstaking process. Some of this could be attributed to what Gartner refers to as the “Hype Cycle”, which hypothesizes that emerging technologies experience a predictable wave of hype, trials and tribulations before the they hit full-scale market maturity: technology trigger  peak of inflated expectations  trough of disillusionment  slope of enlightenment → plateau of productivity. 

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Topics: Eureqa, Big data, Machine Intelligence, Analytics stack

Eureqa vs the Kentucky Derby: Triple the Hat, Triple the Fun

Posted by Jess Lin

5/7/16 1:07 PM

 

After 2 years in a row of coming up roses, we’ve got our sights set on a 3rd year of success with the Kentucky Derby. We’ve got our handicapping data from Brisnet.com and we’ve prepped with plenty of mint juleps (drinks help you bet smarter, right?). Now we’ve spent the past couple days combining Eureqa’s data discovery horsepower with the raw horse power on the track to find out who’ll be in the winner’s circle for the 142nd running of the Kentucky Derby.
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Topics: Eureqa, Kentucky Derby

Industry Trends at the Bio-IT World Conference & Expo

Posted by Jon Millis

4/15/16 9:30 AM

In our market ascent, Nutonian has noticed that many of our most “cutting-edge” customers are biotech and healthcare companies. From drug demand forecasting to clinical trials analysis, Eureqa has been a critical cog in helping companies go from raw data to pattern detection, pinpoint forecasts, and root cause discoveries.

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Topics: Eureqa, Healthcare, Biotech

The Road to Recovery: Automated data science will drive important discoveries and efficiencies in healthcare

Posted by Jon Millis

11/11/15 10:00 AM

Healthcare drives people mad. There’s nothing neutral or uncontroversial about it. Politicians argue about it, countries overspend on it, citizens fret about it. Providers walk a fine line between providing quality care for the sake of positive patient outcomes, while routinely being incentivized to package quantity over quality. Insurers are customer-focused corporations trying to provide a universal good, while also acting as “rational players” seeking to line their pockets. Patients, meanwhile, are the ones with true skin in the game. After all, as the cabaret of politics, insurers, lobbyists and pharmaceutical companies spins and twirls, what some people keep seeming to forget is that healthcare is inherently about the patient. And at some point in our lives, to better our existences and our enjoyment of life, we’re all patients.

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Topics: Eureqa, Healthcare

Machine Intelligence Strips Off Our Data Science Blinders

Posted by Guest Author

10/7/15 10:00 AM

by Dan Woods

In our increasingly digital lives, we have been trained to trust the way that technology works. That is, right up until it doesn’t.

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Topics: Eureqa, Machine Intelligence, Golden Age of Analytics

Intelligent Partners: Man and the Machine

Posted by Guest Author

9/30/15 10:30 AM

by Dan Woods

When it comes to the creative processes inherent in predictive modeling, it is time for a new paradigm, one in which the user and machine learning work in tandem to achieve better results than could be achieved working separately. Nutonian’s vision for this is machine intelligence.

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Topics: Eureqa, Machine Intelligence, Golden Age of Analytics

Are Machines Partners or Foes?

Posted by Guest Author

9/22/15 10:30 AM

by Dan Woods

The exploitation of data in the business world demands a new data-driven approach to innovation. Human-driven data analysis needs to make way for new machine-driven methods capable of handling access to the new abundance of data. However, much hysteria has been recently directed at the dangers of big data and over-reliance on Artificial Intelligence (AI). Is this fear warranted, or is it just much ado about nothing?

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Topics: Eureqa, Machine Intelligence, Golden Age of Analytics

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