A view into AI in the context of integration.
Sramana Mitra: Let’s start by introducing our audience to yourself and SnapLogic.
James Markarian: I’m the CTO at SnapLogic. I’ve had a very unusual career in the Valley. In about 30 years, I’ve only had three jobs. I was at Oracle for a number of years in the earliest days. I was CTO at Informatica for about 15 years. I’ve been at SnapLogic for a little bit over a year now. I don’t talk about it too much, but I was at a venture capital company for about a year in between Informatica and SnapLogic. >>>
FinTech is making great strides today with the help of AI and bringing to small businesses certain kinds of financial services that were only available to much larger ventures once upon a time.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Fundbox.
Prashant Fuloria: Fundbox is a midstage Fintech startup founded in 2013 with offices in Tel Aviv and San Francisco. The mission of the company is to help small businesses become successful by giving them financial power. >>>
John is an AI industry veteran, and has both exciting new trends to share, as well as cautionary guidance to offer.
Sramana Mitra: Let’s start by introducing our audience to Vast and yourself.
John Price: I’m the CEO of Vast. We’re headquartered in Austin, Texas. We’ve been around for over 10 years. The company was founded in San Francisco by Naval Ravikant and Kevin Laws with first round funding from Clearstone and Leapfrog Ventures. I joined the company in 2007 and moved the company to Austin around 2010. We’ve been building out Big Data applications for automotive and real estate ever since. >>>
The procure-to-pay space is going through huge technology adoption, and AI is making its mark on it as well. This interview explores the nuances of the sector.
Sramana Mitra: Let’s start by having you introduce yourself as well as Transcepta to our audience.
Shan Haq: I run Corporate Strategy and Development for Transcepta. My background is mostly in product management and marketing. I have previous experience with Microsoft, Deloitte, and Boeing. I started with Transcepta just a couple of months >>>
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.
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 >>>
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. >>>
Josh and Angela have written a book called The Mathematical Corporation, based on their exposure to various customer use cases of Machine Intelligence at Booz Allen. They discuss a few here.
Sramana Mitra: You can decide who goes first. Please introduce yourselves as well as frame this conversation in the context of Booz Allen as well as your book.
Josh Sullivan: Ladies first, of course. >>>