Peter provides some excellent insights into open problems around which new entrepreneurs can build companies.
Sramana Mitra: Let’s start by having you introduce yourself as well as Instaclustr to our audience.
Peter Nichol: I’m the CEO of Instaclustr. I’ve been CEO and various other positions in the technology industry for nearly 30 years. I’m based in Silicon Valley. Instaclustr is a company that was founded in Australia in 2013 about four years ago. We focus on providing Database-as-a-Service to our customers with a specific focus on not just open source technology starting with Cassandra but >>>
A point of view on Big Data from Australia.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as QSR. Please set some context for us.
Chris Astle: Thank you for inviting me to participate. I’m the CEO of QSR International. QSR International is a software publisher of a product called NVivo. We provide software that helps organizations look at the human aspects of their data and help them to understand the insights that make decisions powerful. Our business is 30 years young. We originally came out of a university here in Australia. >>>
This discussion highlights a set of open problems in Big Data.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Search Technologies.
Paul Nelson: I’m the Chief Architect for Search Technologies. Search Technologies is a global search engine and Big Data firm. We specialize in search engines, search engine installation, and anything related to data processing. We have some 200 consultants around the world, and we also do a bit of product development usually to fill in key missing components in the industry. >>>
This discussion focuses on Big Data in the real estate industry.
Sramana Mitra: Let’s start by introducing our audience to yourself and Ten-X.
Sheridan Hitchens: I’ve been in the industry for about 20 years. I started off my career with Procter & Gamble. I was in strategy consulting for a long while. For the last 12 years, I’ve been in the Internet space, primarily in leading product and data groups.
For the last five years, I’ve been heading up our data products group at Ten-X, formerly called auction.com. That >>>
Ashish focuses on Big Data in Life Sciences.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Axtria.
Ashish Sharma: Thanks for the opportunity. Axtria is a global Big Data analytics company. Our main focus is around the life sciences and financial services industries. In those two focus areas, we empower them to optimize their business strategies or their investments by optimizing their investment around both Big Data and advanced analytics. >>>
Today the significant opportunities for entrepreneurship currently exist in the application layer of the Big Data industry. The platforms and plumbing are already in place.
The most exciting opportunities are going to be available to those entrepreneurs who harness the power of big data, but couple it with intense domain knowledge in specific areas of business. These five thought leaders are good examples of how to do that.
Marketing technologies are hot these days, and Metamarkets is doing some cutting edge analytics in the media buying area. Very interesting.
Sramana Mitra: Let’s start by introducing our audience to Metamarkets and yourself.
Mike Driscoll: I’m the CEO and Founder of Metamarkets. We are a SaaS software platform that provides interactive analytics to the roles of leading programmatic media buying companies like AOL and Twitter. These companies use us to provide interactive analytics both internally and to buyers and sellers on their digital advertising markets. >>>
The online lending industry is going through rapid changes with the advent of big data and machine learning in processing loan applications. Krishna discusses OnDeck’s workings.
Sramana Mitra: Let’s start with talking a bit about yourself in setting some context, and also introduce our audience to what OnDeck is doing in the realm of Big Data.
Krishna Venkatraman: Let me tell you a bit about myself. I joined OnDeck in October of 2013 as the leader for the data analytics organisation. I hadn’t really heard of OnDeck until I first talked to them. I found their value proposition fascinating. There was this huge unmet need among small businesses when they were looking for capital. >>>
Have you noticed that your credit card sometimes declines transactions or flags fraud alerts? This conversation will help you understand the backstory of that workflow and potentially trigger other ideas in that domain.
Sramana Mitra: Let’s start with introducing our audience to yourself as well as to FICO.
Scott Zoldi: I’m the Chief Analyst Officer at FICO. I’ve been with FICO for 17 years. Today I have responsibility for all the analytics products and technologies that we use within our products. FICO, as a company, is 60 years old, and is well known for the analytics that we deliver to make better decisions for companies. The main thing that we offer is the FICO score. It’s a score that’s used in lending decisions as well as fraud detection. >>>
Store management is going through transformation because of the data science. Read how the automobile sector is evolving.
Sramana Mitra: Let’s start at the very beginning and introduce our audience to booth Square Root and yourself.
Mark Schwarz: We’re a software company based out of Austin that delivers software in the store relationship management space. The store relationship management space has to do with making field staff in retail environments the champions of their respective businesses, and dealing with specific accounts that they have such as managing a set of relationships both at the store and corporate level at the same time. As I said, we have a SaaS offering. We augment that data science team in two ways—by supporting the platform and by helping with specific consulting services when necessary. There are nine of us. >>>
Read how Big Data is influencing hiring.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to the company.
Greg Moran: Thanks for having me. I’m the CEO of OutMatch. We are a company that provides data analytics around the hiring and development of talent within large organisations primarily in retail, hospitality, and restaurant chains. We basically help organisations identify the patterns associated with great hires and what makes somebody uniquely successful for them. Then, we help them understand how they can screen and develop that person once they’re part of your team.
Sramana Mitra: Tell us a little bit about the company. Where are you located? What scale of a company are you? Is it a venture-funded company? >>>
Here, we discuss Big Data in the telecom industry.
Sramana Mitra: Why don’t we start with some introduction about yourself as well as your company?
Mikko Jarva: I represent Comptel Intelligence Data business unit as the CTO. Comptel is almost 30 years old. We are traditionally a provider of telco IT. We have launched a new product called Nexterday. Nexterday takes us beyond software and also helps us in telco to move from Big Data towards intelligent data, and move from traditional buying experience towards digital buying experience, and help monetize more.
Sramana Mitra: When you say you represent Comptel’s intelligence work, what does that work entail? What do you do? What kind of Big Data work does Comptel do?
Publishers are using Big Data and machine learning to optimize what ads to put in front of their audience. This discussion delves into the depths of that process, and also explores open problems in that world.
Sramana Mitra: Let’s start by introducing you to the audience. Tell us about yourself as well as about PubMatic.
Sri Gopalsamy: I joined recently as the VP Engineering heading the Big Data and machine learning area. I joined the company about two months ago. Andy is one of our co-founders. He has been with the company since the beginning so he has a lot more context around company introduction. My role here is to drive the entire Big Data and real-time data analytics at PubMatic.
I manage a team of Big Data analytics engineers who are building the platform and innovating in the core area of data analytics, natural language processing, real-time analytics, and machine learning. At PubMatic, we view Big Data processing as the key differentiator in helping us grow. I have over 20 years of industry experience. I spend many years in the leadership level with Walmart Global E-commerce. I was heading all of >>>
Knowledge management has been around. What has changed? Read on for more discussion on the subject.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Brainspace.
Dave Copps: I’m the CEO of Brainspace. We’re a software company headquartered in Dallas, Texas. We built a large-scale machine learning platform that is reinventing the way that companies are learning through their Big Data.
Sramana Mitra: What does that mean? What kind of customers are you trying to cater to? When you say learning, what use cases are we talking about?
Dave Copps: Most of our customers are companies that have large amounts of knowledge workers. The industries we are primarily focused on would be consulting, biotech, technology, oil and gas, and places where there’s a lot of research and knowledge workers. The reason being that our technology has a very unique capability of being able to capture the concepts, thoughts, and ideas and connect the concepts inside of a >>>
Real-time, distributed data availability for Big Data use cases is a key issue. Here, we speak with Adam Wray about the nuances.
Sramana Mitra: Let’s introduce our audience to yourself as well as Basho.
Adam Wray: I’ve been raised in companies like Akamai and Limelight Networks. I actually worked for Amazon for several years before starting my own company, but it’s always been in the cloud services space or trying to use some form of what used to be called ASP. I came to Basho via that path with the understanding of what distributed systems mean to your data being moved all over the world.
Sramana Mitra: What does Basho do? >>>