Thought Leaders in Artificial Intelligence: Gurjeet Singh, Co-Founder and Chairman of Ayasdi (Part 4)

Sramana Mitra: By rolling out your software in a risk operation that has such large numbers of manual labor, how many people can you replace with the software?

Gurjeet Singh: At this point, the banks are not talking about replacing people. They’re worried about capturing risk. They are more interested in making sure that they capture every last bit of risk and prove to the regulators that they are doing everything possible to account for anti-money laundering and to stop it in its tracks.

Sramana Mitra: As the founder of the company, what is your assessment? Can this be completely automated?

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Man and Superman: Dealing with Singularity-Based Technology Acceleration

In the previous four segments of this series, we looked at what a singularity is and as part of evidence for the possibility of a technology singularity, we studied the frequency and impact of five scientific revolutions and cataloged the modern intersubjective realities (ISRs) that have co-evolved with the ever faster scientific revolutions and pushed to see how these have historically interacted and why things may be breaking down today.

In the concluding installment of this essay, we will look at how each of us experiences this personally and how our most important social structures are under duress today in ways that never happened in the past.

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Thought Leaders in Artificial Intelligence: Gurjeet Singh, Co-Founder and Chairman of Ayasdi (Part 3)

Sramana Mitra: How were customers finding you?

Gurjeet Singh: Just through media. The launch in January was such a huge event. There was a lot of media and buzz around it. It felt like it was a pretty successful time, and it definitely gave us a false sense of complacency.

What we realized was while we could sell across these verticals for various use cases, it turned out to be very difficult to be able to train a sales force to sell across all these use cases. It was difficult to train a bunch of people who had made their >>>

Thought Leaders in Artificial Intelligence: Gurjeet Singh, Co-Founder and Chairman of Ayasdi (Part 2)

Sramana Mitra: So, grants and some consulting projects kept you going for a while. What happened next?

Gurjeet Singh: Yes, those were very lean days. My co-founders had done well enough that they could easily live without a salary for a long time. I was the only one, as the immigrant, who had to be paid a salary. I took the bare minimum. We didn’t spend a whole lot. We actually had a bunch of money in the bank that we didn’t spend.

Over the years, we ended up meeting somebody at the FDA and they introduced us to some people in  >>>

Thought Leaders in Artificial Intelligence: Gurjeet Singh, Co-Founder and Chairman of Ayasdi (Part 1)

This is a very interesting conversation about technology from Stanford being commercialized in financial services and healthcare, addressing very specific use cases in risk and other domains.

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

Gurjeet Singh: I’m one of the co-founders and Chairman of the Board at Ayasi. I’m a mathematician and a computer scientist. I grew up in Delhi, India. I ended up working at Texas Instruments as a chip designer for about a year. I made my way to the US >>>

Thought Leaders in Artificial Intelligence: Josh Sullivan, SVP and Angela Zutavern, VP of Data Sciences at Booz Allen Hamilton (Part 4)

Sramana Mitra: What you want are people who know how to set up machine learning algorithms and how to diagnose the patterns and set them up with the heuristics so you can leverage the algorithms to come up with meaningful actionable insights. That knowledge doesn’t necessarily exist in the minds of the greatest domain experts.

I believe we are going towards a world where there will be a lot of abstraction happening. I know Microsoft is working on it. IBM is also working on it, but I think Microsoft is further along. This abstraction allows creation 

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Man and Superman: Intersubjective Realities

By Guest Author Frank H. Levinson

In the previous three segments of this series, we looked at what a singularity is and as part of evidence for the possibility of a technology singularity, we studied the frequency and impact of five scientific revolutions. Let us now catalog the modern intersubjective realities (ISRs) that have co-evolved with the ever faster scientific revolutions and push to see how these have historically interacted and why things may be breaking down today.

Let’s now list key social structures that humans have evolved over time. Remember that all of these are really just different ISRs; thus, they are things we agree to treat as real. In other words, their reality derives only from our agreement. For instance, a $20 bill has very little intrinsic value, it is our nearly world-wide ISR agreement that gives it value. >>>

Thought Leaders in Artificial Intelligence: Josh Sullivan, SVP and Angela Zutavern, VP of Data Sciences at Booz Allen Hamilton (Part 3)

Sramana Mitra: Do you want to take a different example from a different vertical perhaps and illustrate more of your point of view?

Angela Zutavern: We can talk about healthcare. We partnered with the National Institute of Health on reading MRI scans for heart health. Trained cardiologists had to spend 20 to 30 minutes looking at these heart scans on a computer and coming with calculations that would let them know how the blood is flowing in a person’s heart.

We put the challenge out to the community to build algorithms that could automatically read those heart scans. What was >>>