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See MapD and the rest of the FinDEVr New York speaker lineup on March 21 & 22. Register and save 10% with the promo code FinDEVrBlog.

Interview with Todd Mostak, MapD’s CEO & Founder:

Where did you start your career and how did you gain the experience needed to run the tech side of your company?

I think most people would consider my path to becoming a CEO of a startup to be unorthodox – even for startups.

I graduated from the University of North Carolina at Chapel Hill with a degree in Economics and Anthropology. After graduation I moved to Syria to teach English for Berlitz while learning Arabic myself. I found the language and culture fascinating and would go on to study Arabic at the American University in Cairo where I also worked as a translator and occasional writer for the Egyptian newspaper Al-Masry Al-Youm.

With my eye on academia I went to Harvard, where I started to work on my master’s degree in Middle Eastern Studies with a focus on how social media impacted the Arab Spring. My thesis involved performing analytics on hundreds of millions of tweets – and I didn’t have access to the computational horsepower or visual analytics tools to do it effectively. I had cross-registered for a database systems class at MIT where I built a prototype database that ran on graphics cards rather than on conventional processors. This allowed me to do and see things in the tweets that I would have never found using traditional methods.

With the encouragement of MIT Professors Sam Madden and Michael Stonebraker I ended up joining their Computer Science and Artificial Intelligence Lab (CSAIL) and working full time on this concept of a fast system (database + datavis). In 2013, we won Nvidia’s Early Stage Challenge and decided to make MapD our sole focus.

From a technologist’s perspective, what’s unique and game-changing about your technology?

MapD has leveraged the parallel processing power of GPU to create the world’s fastest data exploration engine. By pairing a lightning fast, SQL-compliant, GPU database with a cutting edge visual analytics engine, MapD allows multi-billion record datasets to be queried and visualized in milliseconds. For organizations, this means that they can tackle problems that are far larger, far more complex, far more difficult than previously imagined – without losing any grain level detail.

Speed of thought data exploration used to stop at tens of millions of rows – constrained by both the performance of CPU-bound databases, but also by the performance of in-browser visualization solutions. To go beyond those limitations meant waiting minutes, if not hours to see your results. MapD’s GPU-powered software reframes that conversation.

Now hundreds of billions of rows can be scanned and visualized in less than a second. The ability to truly explore massive datasets, the way humans crave, rapidly testing and validating hypotheses with millisecond response times is now possible. Further, the ability to visualize that data – at any level desired, comes into frame; from a model of every wind pattern in the Pacific to a single gust of wind, from 1.2 billion taxi rides in NYC to a single trip to JFK, from hundreds of millions of political donations to those on your street.

The biggest challenges facing the financial services industry invariably involve data. Creating a framework to evaluate every datapoint, without downsampling or indexing means we can engage broadly, rapidly and successfully on issues like alpha generation, fraud, AML and operational risk.

Tell us about your favorite implementation of your solution/technology.

I would be lying if I didn’t say that my favorite implementation was our Tweetmap. It was the first thing I built and was the primary tool to explain the power of speed at scale for several years. We have since expanded, not just in terms of other public demos but in terms of what our clients are doing.

This is what excites me the most – the types of problems our clients are applying our technology to solve. In financial services, it is clearly our hedge fund clients, who are looking at billions of rows of data (production data, clickstream data, product data, weather data) to find nuggets of alpha. These are challenges that were simply too big for their existing infrastructure and their ability to look across all of it means that they can “see” more than their competitors. They like that.

FinDEVr New York 2017 is partnered with American Banker, BayPay Forum, BiometricUpdate.com, Breaking Banks, Byte Academy, Canadian Trade Commissioner Service, Celent, CIOReview, Cointelegraph, Colloquy, Distributed, Economic Journal, Empire Startups, Femtech Leaders, Finmaps, Fintech Finance, Harrington Starr, Level39, Mercator Advisory Group, The Paypers, SecuritySolutionsWatch.com, Swiss Finance + Technology Association, and Women Who Code.

See NuCypher and the rest of the FinDEVr New York speaker lineup on March 21 & 22. Register and save 10% with the promo code FinDEVrBlog.

Interview with Michael Egorov, NuCypher‘s CTO & Co-Founder:

Where did you start your career and how did you gain the experience needed to run the tech side of your company?

Before starting NuCypher, I worked on infrastructure tools at LinkedIn, where we faced some of the thorniest scaling challenges in the world. But my background is as a scientist and physicist. I was a bronze medalist in the 2003 International Physics Olympiad and graduated from the Moscow Institute of Physics and Technology. I later worked as a post-doc on ultra-cold atoms in an area closely related to quantum computing.

From a technologist’s perspective, what’s unique and game-changing about your technology?

I find the technical details of our proxy re-encryption technology particularly fascinating. In brief, proxy re-encryption allows you to transform data encrypted under one set of keys into being encrypted under a second, different set of keys. This is a direct re-encryption, with no intermediate decryption step. This allows us to do some really neat tricks around key rotation and access delegation for the platforms we support.

Tell us about your favorite implementation of your solution/technology.

Simple is good, so I’m going to choose key rotation. Currently, key rotation in Hadoop has to be done manually, which means shutting down encryption zones, sending data to the key management service, decrypting it, encrypting it with the new key, and sending it back to the storage layer. Many of our customers are dealing with petabytes of data and this process can literally take a half or even a full day. A full day of downtime! With NuCypher, we can perform key rotation in a few seconds.

FinDEVr New York 2017 is partnered with American Banker, BayPay Forum,BiometricUpdate.com, Breaking Banks, Byte Academy, Canadian Trade Commissioner Service,Celent, CIOReview, Cointelegraph, Colloquy, Distributed, Economic Journal, Empire Startups,Femtech Leaders, Finmaps, Fintech Finance, Harrington Starr, Level39, Mercator Advisory Group, The Paypers, SecuritySolutionsWatch.com, Swiss Finance + Technology Association, and Women Who Code.

See CardLinx and the rest of the FinDEVr New York speaker lineup on March 21 & 22. Register and save 10% with the promo code FinDEVrBlog.

Interview with Silvio Tavares, CardLinx Association‘s CEO & President:

Where did you start your career and how did you gain the experience needed to run the tech side of your company?

An electrical and computer engineer by training, my first job was at AT&T Bell Labs where I worked on one of the earliest methods for web-based payments. Since then, I have authored over fifteen granted or pending patents in the fields of digital commerce, electronic payments and payments analytics. My work in the business side of payments informed the direction of the technologies I pursued. These leadership positions included my time at ABN AMRO Investment Bank in London, where I was Director and Head of Financial Technology Investment.

More recently, I was Global Head of Information Products, SVP at Visa, leading a business unit generating several hundred million dollars in annual sales and successfully launching key new products in the areas of payment fraud detection, digital marketing and merchant loyalty. I joined Visa from First Data, the leading payments processor, where I was Global Head of Information and Analytics, SVP. At First Data I created and launched SpendTrend™, First Data’s U.S. macro-economic spending indicator based on credit card transaction data.

My work at the intersection of payments and technology culminated in the founding of the CardLinx Association, where I am President and CEO. Working with our founding members including Mastercard, Discover, First Data, Facebook and Microsoft, we’ve become the leading voice for the card-linking and online-to-offline industries.

From a technologist’s perspective, what’s unique and game-changing about your technology?

Consumer spending makes up 70% of the US economy. 90% of that spending occurs in stores not online. Card-linking enables companies to link a consumer’s online data with their in-store shopping. We are excited to announce to the fintech industry the first open source card-linking software.

The underlying technology was developed by Microsoft and they have provided the codebase for its Earn card-linking platform on the CardLinx website. It is free and publicly available. The software demonstrates API access to the leading payment networks (Visa, Mastercard, American Express and Discover) and is available for banks, digital publishers, messaging platforms and other tech companies to build on the code and bring their card-linking and loyalty programs more quickly to market.

Just as other platforms experienced explosive growth after APIs were made available, like Apple’s App Store and Facebook’s messaging API, an open source card-linking code is the next logical step in the development of card-linking and the overall growth of the online-to-offline industry.

Tell us about your favorite implementation of your solution/technology.

We released the open source code at the beginning of January. At this time there are a number of companies using it as a foundation for their own card-linking and loyalty programs. I will be excited to share the names of the companies at my demo on March 21 at FinDEVr New York!

FinDEVr New York 2017 is partnered with American Banker, BayPay Forum, BiometricUpdate.com, Breaking Banks, Byte Academy, Canadian Trade Commissioner Service, Celent, CIOReview, Cointelegraph, Colloquy, Cooper Press, Distributed, Economic Journal, Empire Startups, Femtech Leaders, Finmaps, Fintech Finance, Harrington Starr, Level39, Mercator Advisory Group, The Paypers, SecuritySolutionsWatch.com, Swiss Finance + Technology Association, and Women Who Code.