Forward

Our guest today is Chris Sestito, the founder and CEO of HiddenLayer. HiddenLayer helps enterprises safeguard the machine learning models behind their most important products with a comprehensive security platform. Chris is a certified ethical hacker and worked in various senior roles in threats research and data science, before co-founding HiddenLayer with Tanner Burns and Jim Ballard.

In this episode we talk about rapidly growing threats organizations face from attacks on their AI systems. We discuss different types of attacks, and how to address them.

We also talk about how Chris became interested in cyber security, what kind of people he’s looking for when building his team, and how poker skills can be applied to fight bad actors in cyberspace.

Chris’ Linkedin: https://www.linkedin.com/in/ctito/

HiddenLayer website: https://hiddenlayer.com

HiddenLayer research: https://hiddenlayer.com/research/

HidenLayer Twitter: https://twitter.com/hiddenlayersec

HiddenLayer Linkedin: https://www.linkedin.com/company/hiddenlayersec/posts/?feedView=all

Gartner TriSM: https://blogs.gartner.com/avivah-litan/2021/09/02/ai-trust-risk-security-management-gartner-market-guide/

MITRE ATLAS™: https://atlas.mitre.org/

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Our guest today is Mike Elashoff, the co-founder and CEO of Cornerstone AI. Cornerstone’s goal is to give everyone the data science superpower of clean data, without the manual work it takes to get there. They are focused on empowering the healthcare industry by using machine learning to convert raw data into analysis-ready data. The vast majority of healthcare data is either human-generated or human-entered and prone to errors. Incorrect data leads to mistaken insights and often adverse consequences. Cornerstone’s platform yields higher quality data than the manual approaches data science teams employ today, and it does so an order of magnitude faster, compressing months to days and days to hours or even seconds.

Before founding Cornerstone with his co-founder Andrew Howland, Mike worked at several biotech companies, including CardioDx, where he developed the Corus CAD test, the first blood-based molecular diagnostic for coronary disease, and Medidata, which has the largest clinical trial database in the world. He previously founded a machine learning startup called Patient Profiles which was acquired by Medidata. Mike was also a reviewer and a team leader at the FDA’s Center for Drug Evaluation and Research. He received an undergraduate degree in Statistics from the University of California at Berkeley and a Ph.D. in Biostatistics from the Harvard University School of Public Health.

In this episode, we talk about the challenges healthcare organizations face managing their data, what new requirements to data are introduced by AI, how Cornerstone applies machine learning technologies to address these challenges, and what best practices organizations can implement to improve data management.

We also talk about their work on COVID-19, why off-the-shelve ML models do not work for them, how to put together a great founding team, and why self-reliance can be treacherous.

Cornerstone AI website https://cornerstone.ai/

Mike’s LinkedIn https://www.linkedin.com/in/michael-elashoff-4096681/

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Our guest today is Dr. Yehuda Elmaliah, the founder and CEO of CogniTeam. CogniTeam is based in Petach Tikva, Israel, and has been developing artificial intelligence technologies for robots for over ten years, working with world-leading companies on mapping, navigation, and autonomous decision-making. Over the years CogniTeam developed a unique set of Robotic AI software working with Intel, Amazon, Mitsubishi, Siemens, and other blue chip companies. They have recently packaged this set of technologies in Nimbus, bringing a unique cloud-based robotic artificial intelligence solution in one easy-to-use platform.

Yehuda holds a Ph.D. in computer science specializing in multi-robot systems and is a leading expert on algorithms for robot autonomy. He spent seven years as a Dean of the computer science school at COMAS before starting CogniTeam with his co-founder Dr. Nachum Kaminka.

In this episode, we talk about why it takes many years to get an autonomous robot to market, how to speed this process up, what Cogniteam learned about building robots from their work with Intel, Amazon, and DARPA, and what is the next big step for autonomous robotics as a field. We also talk about why having happy team members is important for Yehuda, and what makes him feel like a dolphin.

Nimbus website: https://www.cognimbus.com/

Nimbus Demo and Trial: https://app.cognimbus.com/signup

Yehuda’s LinkedIn: https://www.linkedin.com/in/yehuda-elmaliah-01037b12/

SayCan paper by Robotics at Google and Everyday Robots: https://arxiv.org/pdf/2204.01691.pdf

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Our guest today is Gonca Gulsar, the co-founder of Quin AI. Quin is an Audience Engine that understands real customers, their needs and their intentions, Quin helps merchants to drive conversion and increase revenue. E-commerce is an industry rich with real-time data, but processing it efficiently remains a significant challenge. Quin leverages behavioral customer data to deliver targeted actionable insights and the strongest possible conversion to the merchants. Gonca studied Organizational research at the London School of Economics and worked as a data scientist at various organizations for 20 years before starting Quin with her sister Gulsha. While running Quinn, Gonca still finds time to work as a part-time instructor at Bogazici University.

In this episode we talk about the challenges e-commerce merchants face when leveraging their data, and how applying machine learning models can boost their performance by tens of percent in weeks; what is hourly seasonality and why it is important; how COVID became the trigger to start Quin, and how 20 years of work experience instruct Gonca’s approach to designing the company’s culture.

Quin AI: https://www.quinengine.com/

Gonca’s LinkedIn: https://www.linkedin.com/in/gonca-gulser-0786403

Contact Quin’s team at:

https://www.quinengine.com/contact

[email protected]

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Our guest today is Chris Ake, the founder and CEO of Sidekick AI. Headquartered in Grand Rapids, Michigan, Sidekick helps people manage their meetings by augmenting the process with AI. Scheduling a meeting can be a frustrating experience, and Sidekick aims to streamline this process with natural language processing.

Chris is a serial entrepreneur and built several companies before starting Sidekick with his co-founders Jon Butler and Nathan Jean. In this episode, we talk about the challenges of building an AI assistant, why it is critical to get to market early and iterate, what was the most challenging time for Chris on his entrepreneurial journey, and what makes a great team of co-founders.

Sidekick AI: https://sidekickai.com

Chris LinkedIn: https://www.linkedin.com/in/chrisake/

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Our guest today is Lucas Bonatto Miguel, the founder and CEO of Elemeno AI. Elemeno provides an industry-leading ML-Ops platform that allows dэtэ science professionals to accelerate and automate their machine learning life cycles. Elemeno products and services are used by industry leaders, including Americanas, Shoptime, and Submarino.

Lucas is a software engineer by training and has experience working in a wide range of industries, including finance, retail, and crypto. He built several companies before founding Elemeno in 2021.

In this episode, we talk about the challenges organizations experience when building deep learning systems; how implementing effective MLOps leads to a step change in organizational abilities to deploy AI; the advantages of the modular approach and interoperability; and why open sourcing the code is a win-win for a vendor and a client.

We also talk about Elemeno's quite distinct set of company values; how having a design client from day one affected the product's roadmap; what differentiates highly efficient teams; and what worries Lucas about the recent rapid progress of generative AI systems.

Elemeno website: https://www.elemeno.ai/

Lucas’ Linkedin: https://www.linkedin.com/in/lucasbonatto

Newsletter: https://www.elemeno.ai/blog

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