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Thought Leaders in Artificial Intelligence: Jack Porter, CEO of Razorthink (Part 2)

Sramana Mitra: Our audience is highly sophisticated and highly technical. Can you double-click down a bit and help us understand the technology?

Jack Porter: If you do an artificial intelligence or data science project, you normally have two different technologies to choose from. You either use machine learning which is some type of statistical form of math or neural math. Our specific technology uses stack neural maths. We do what’s called deep learning. The uniqueness of what we’re doing is that in most situations, a very intelligent data scientist is crafting the actual architecture of the neural math. Our product is Big Brain.

Big Brain is basically a data science AI. Our data science AI crafts the entire architecture. The reason for that is that for the projects we’re working on, the data is >>>

Thought Leaders in Artificial Intelligence: Jack Porter, CEO of Razorthink (Part 1)

We hear a lot about deep learning algorithms and their applications on very large data sets. This interview delves into a company and its customer base that works in that area.

Sramana Mitra: Let’s start by introducing our audience to yourself as well as to the company.

Jack Porter: I’m the CEO of Razorthink. We provide a specific segment of artificial intelligence called machine super intelligence, which is the intersection of advanced deep learning and high-performance computing. Our customers are some of the largest customers in the world. We sit on top of their big data stack and we track patterns. >>>

The Future: India Will Take AI on the Chin

India’s development over the last two decades owes a lot to globalization and IT outsourcing from the West.

Today, the Indian IT-BPO industry employs 3.7 million people.

A large portion of this is relatively low skilled, or at least mid-range skilled positions.

Artificial Intelligence, it seems, will deliver on its promise on many vectors. Low-skilled tasks that can be automated WILL be automated. This will start showing impact relatively soon. Some analysts like HfS research have projected a job loss of 640,000 by 2021.
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Thought Leaders in Artificial Intelligence: Stuart Wall, CEO of Signpost (Part 6)

Sramana Mitra: Tell me a bit about your company. You’re a venture-funded company. You’ve raised a substantial amount of money. How long have you been around?

Stuart Wall: We launched in 2010. We, initially, were under a different business model. We pivoted to where we are now in 2012. Our investors are Google Ventures, Spark Capital, OpenView, Georgian Partners, and a handful of angels. We have just over 200 people headquartered in New York. We also have offices in Austin and Denver. It’s about a third each between those three locations.

Sramana Mitra: Revenue-wise, are you getting to a point where you’re going to do an IPO soon? Where are you evolution-wise? >>>

Thought Leaders in Artificial Intelligence: Stuart Wall, CEO of Signpost (Part 5)

Sramana Mitra: In terms of metrics, how many businesses have adopted this technology in your customers. Secondly, are there other competitors? Is there a broader adoption of this kind of technology that you’re seeing?

Stuart Wall: In terms of total adoption, we have about 7,500 clients and a broader number of locations under those clients. Some businesses may own hundreds of locations. Some may own one. We are doubling almost every year in terms of scale. The fastest growth engine for us is now coming from larger businesses that have a lot of locations underneath them.

Sramana Mitra: Is there competition? Are there other players doing this? >>>

Thought Leaders in Artificial Intelligence: Stuart Wall, CEO of Signpost (Part 4)

Stuart Wall: Even prospective employees look for your reviews before making a decision to apply. We think it’s really important. The only way to get a great reputation online is to know who your end customers are and ask them to share their feedback. We think we’re the best solution for that. Regardless of whether someone is using Signpost or another platform, it is something that I would highly recommend to businesses.

Sramana Mitra: How does that through process translate to e-commerce? What percentage of your customers base is e-commerce? >>>