Tripp Smith

Data analytics thought leadership spanning entrepreneurial ventures and Fortune 500 companies centered around big data, technology vision, strategy, and product development. Chief Technology Officer at Clarity Insights focused on technology vision, product development, business development, partner alliances, coaching, and mentoring for the largest consultancy in the US focused solely on data analytics.

Recent Posts

How Graph Analytics Drive Innovation in the Financial Sector

on Jun 3, 2019 11:09:31 AM | By Tripp Smith | Analytics
Graph analytics, a set of analytical techniques that look at relationships between different kinds of data, has the potential to drive innovation in the financial sector. Gartner included graph analytics in its “Top 10 Data and Analytics Technology Trends That Will Change Your Business” report. They cited its ability to enable discovery of new dimensions of the client relationship, business processes, the workforce, security and beyond.
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Understanding the NLP and Conversational Analytics Revolution

on May 31, 2019 1:53:05 PM | By Tripp Smith | Natural Language Processing
According to the recent Gartner report, “Top 10 Data and Analytics Technology Trends That Will Change Your Business,” Natural Language Processing (NLP) will have a transformative effect on data analytics. By removing the need to program queries into an analytics tool, NLP expands the potential user pool, along with use cases, for advanced analytics. For the financial field, to choose one of many potential areas of impact, NLP and conversational analytics promise to be revolutionary.
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What to Do When the Signal is Noise

on Jan 20, 2017 7:45:33 PM | By Tripp Smith | Data Governance Big Data Data Assets
Market Volatility Points to Unreliable Forecasts Recent retail equities trading patterns illustrate how packaged consumer spending data, increasingly popular in forecasting, can leave traders hurrying to fix potentially expensive mistakes when the data points them in the wrong direction.
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Decoupling Big Data Compute and Storage

on Dec 1, 2016 3:42:07 PM | By Tripp Smith | Hadoop Big Data data architecture Analytics SQL
Once upon a time, if you wanted a multipurpose platform for analytics, SQL databases were the way to go. This was doubly true for big data, where volumes swelled beyond the capacity of a single machine to handle analytics on such a scale. Big data was simply too big to pass across the network, and data proximity was a fundamental assumption for MPP architecture. The concept of randomized distribution without consideration for the most common access paths was unthinkable.
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Pokemon Go and the Power of Geospatial Analytics

Pokémon GO is an incredible case study in the power of relevant hyperlocal targeting and geospatial analytics. In case you don’t know what we’re talking about, Pokémon GO is a free-to-play, location-based augmented reality game based on a popular cartoon franchise, where cartoon monsters roam the lands, and your job is to find, capture, and train them.
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