Price personalization has been touted as the holy grail of e-commerce. This conversation brings to light the state of the union in the domain of price optimization, price intelligence, and price personalization.
Sramana Mitra: Let’s start by setting some context for our audience of what Profitero does and what your background is.
Keith Anderson: Profitero was founded in 2010 in Dublin, Ireland by former IBM and Google software engineers. Sometimes people ask why the company was founded in Ireland and not in Silicon Valley. Dublin has established itself as a European technology hub. Our founders live there. We’re backed by Polaris Partners, which has offices both in Boston as well as in Dublin where we’re headquartered. We now have offices in Dublin, London, Boston, San Diego, Belarus, and Minsk. We’ll shortly open offices in Asia and other parts of Latin America this year. >>>
Part of big data is exploding data inside of the enterprises. Ed Walsh draws our attention to a specific problem domain: Copy Data Management.
Sramana Mitra: Let’s start with introducing yourself as well as Catalogic Software so that our audience has a little bit of context about this conversation.
Ed Walsh: I’m the CEO of Catalogic Software. This is my fourth VC-backed CEO engagement. To provide a little history, I was the CEO of a company called Avamar. It’s now a $800 million business inside EMC. The next one was Virtual Iron Software. It was a late stage venture-backed startup providing server virtualization software. The last one is Storwize, which was acquired by IBM. I started my current business about six months ago. It’s a spin-out and its technology is by a company called Catalogic Software. We focused on the overall challenge of copy data management. That might be a new word. It is basically the challenge of enterprise storage infrastructure with data growing 35% year to year. It’s hard to keep up with. >>>
The dream of digital advertising being 100% measurable and attributable is a myth. In this story, we kick around the issues with Damon Ragusa, CEO of ThinkVine.
Sramana Mitra: Let’s start with introducing our audience to yourself as well as to the company.
Damon Ragusa: I’m the Founder and CEO of ThinkVine. My background is in events analytics. I’ve spent a couple of decades in the analytics field primarily supporting strategic marketing objectives across B2B and B2C businesses. ThinkVine is a marketing optimization software and services company. We provide four core capabilities to our customers—software platform for planning marketing, the ability to attribute >>>
An end of the year view into what’s happening in the Big Data ecosystem with Eldad Farkash, a veteran of the Business Intelligence world.
Sramana Mitra: Let’s start with introducing our audience to yourself as well as to Sisense.
Eldad Farkash: I’m the CTO and Founder of Sisense. Sisense is a Big Data analytics company that bridges the gap between complex models and Big Data clusters with simple business users’ unique needs. The company itself is around 130 people. We have raised around $50 million. We have offices in Tel Aviv and New York. Our R&D team operates from Tel Aviv and sales and management operates in New York. We have 700 customers ranging from huge Internet web companies to government agencies and startups.
Sramana Mitra: What about target customer? Specifically, how do you segment the market and where are you focusing?
How far are we from software making decisions based on Big Data rather than human data scientists having to make those decisions? Let’s see what Frank Bien, CEO of Looker, has to say.
Sramana Mitra: Let’s start by introducing Looker and yourself. Tell us what you do. What’s the company all about?
Frank Bien: I’m the CEO of Looker. Looker is a new kind of data analytics and business intelligence solution that really provides end users a new level of exploration capabilities on top of very large and complex sets of data.
Sramana Mitra: What kinds of customers are you going after?
Big Data is all very well, but typically, the databases are full of dirty data. Before you can analyze accurately, you have to cleanse the data. Paxata has great insights to offer into the process.
Sramana Mitra: Let’s start by introducing our audience to Paxata as well as to yourself.
Nenshad Bardoliwalla: Paxata is an early-stage startup company. We were founded in early 2012 by four people–our CEO Prakash Nanduri, CTO Dave Brewster, Chris Maddox who runs all of our alliances and channel partners, and myself as the Head of Products. We are all enterprise software guys. >>>
Big Data platforms like Hortonworks and Cloudera use a third party player to address security issues. Protegrity offers one of those key building blocks of a secure Big Data platform. This interview delves into the security issues that customers are grappling with.
Sramana Mitra: Let’s start with introducing our audience to yourself as well as to Protegrity.
Ulf Mattsson: I’m the Chief Technology Officer at Protegrity. A little bit about my background, I worked for 20 years at IBM in software development and database security. I left IBM over a decade ago to design the Protegrity database security product and
We have a long-running Thought Leaders in Big Data series on the 1M/1M blog. We started publishing the series back in 2012. Over the last couple of years, we have featured many of the innovators in the field. Of those, today, I will introduce you to ten who I think would be interesting for you to get to know.
Let me explain why I have chosen these ones in particular.
The significant opportunities for entrepreneurship currently exist in the application layer of the Big Data industry. The platforms and plumbing are in place.
Today, 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.
Semantic technologies are gaining ground in the world of Big Data. This interview focuses on some applications in various parts of the industry.
Sramana Mitra: Let’s start by introducing the audience to Ontotext. Tell us who you are, where you’re based, and what kind of work you are doing.
Atanas Kiryakov: I founded Ontotext in the year 2000. We were one of the leading sites globally for artificial intelligence in the 80s through the 90s. >>>
I am a big fan of niche Big Data applications. Here’s one focused on the trucking industry!
Sramana Mitra: Let’s start with some introduction about yourself as well as Vigillo.
Steve Bryan: The Latin word vigillo means vigilant. That is the backbone of what we do for our customers. We are just past our seventh year in business. I founded the company in 2007. Essentially, what we do is help trucking companies manage the vast amounts of data that are generated by and collected about them and their operations. We deal mostly with the trucking companies that operate the large 18-wheeler commercial motor vehicles that haul the nation’s freight up and down the nation’s highways. We have several thousands of them who subscribe to various analytics and reporting services that we offer to the industry. >>>
In our review of various Big Data players working on vertical apps, this time, we bring you a Healthcare IT story.
Sramana Mitra: Let’s start with some introductions. Please talk a little bit about yourself as well as Explorys.
Charlie Lougheed: Explorys is my third company. I was in my mid-teens when I started my first one. I was always driven to technology and entrepreneurship. I have this strange hybrid of experience in that I’ve spent a good amount of my career in large corporations as well. I’ve spent a good amount of time in the financial services sector, primarily around extending their online channel. I was responsible for both the technology as well as the business side. It was an interesting exposure. To some >>>
Today, social behavior and transaction data are seldom correlated to fully understand the social graph of customers that can lead to business strategy decisions like special handling of key influencers. While social media offers some insights into key influencers, such correlation with transactional data and behavioral data would take that to the next level.
Read this discussion with Dmitri Williams to understand where we’re going.
Sramana Mitra: Let’s introduce our audience to you and give some context about what vantage point you’re looking at the Big Data world from.
Everyone in Big Data is anticipating the Internet of Things trend. Don discusses it as well, along with other issues.
Sramana Mitra: Don, let’s start with introducing our audience to you as well as Infobright.
Don DeLoach: I’m the President and CEO of Infobright. Infobright is a company that offers a purpose-built platform for storing and analyzing machine-generated data. If you had to classify us, it would be the column-based analytic database. There’s a number of clever offerings that I have a high respect for. We are not of the belief that there’s one silver bullet and nobody else does anything good. >>>
More commentary on how Big Data’s rise leads to massive automation, productivity growth, and elimination of jobs! Exciting technology trends, scary human society predictions.
Sramana Mitra: Radhika, let’s introduce our audience to yourself. Tell us a little bit about you and how you got to Emcien.
Radhika Subramanian: My name is Radhika Subramanian. I am the CEO of Emcien. Emcien’s product is automated analytics for Big Data. Having said that, let me take a step back and let me tell you about me. I am from India and I’m an engineer. My undergraduate degree was Electronic Engineering. I came to Georgia Tech and did my masters in Industrial Engineering. I ended up starting my first company completely by mistake because I was in the computational group at Georgia Tech. This is way before Big Data became sexy.
This discussion is about how Attensity is using unstructured data analysis to prevent churn in customer bases of Telecom, Consumer Electronics, and other verticals.
Sramana Mitra: Howard, let’s start with introducing our audience to Attensity. Tell us what the company does. Also give us some of your background.
Howard Lau: Thank you for this opportunity. Attensity is a Big Data company. The value that we bring is we ingest a tremendous amount of data. With the advent of social networking, a lot of the volume of this data that we ingest is obviously social data. It includes Facebook, Google Plus, and Twitter. As you know, Twitter has exploded onto the scene. At this point, it generates about 500 million tweets per day. We ingest that information into our system and then we analyze that information so that we can do query analysis based on topics defined by our customers. >>>