Bant Breen:

I would say that your sense as an investigator probably drives your digital data sense as well. Tell me how that’s being applied now with Torch.AI.

Adam Lurie:

Torch.AI is a fundamental capability that enables individuals and enterprises to get the most out of their information for analysis. If you think about all of the data that is being created and generated by enterprises, all of this information lives and exists in different data sources in different data stores. Every company and every executive runs around their organization saying, “How can I get the most, the best information, the best analysis from that information?” Well, step one is you have to grab the information. You have to put it together, you have to stick it into a data warehouse with the lake somewhere. It’s expensive, it’s timely, it’s costly. Torch.AI has created a capability that pulls the relevant features from all of the source authoritative data stores, represents that information, and facilitates it for analysis. When we think about it as kind of my background and the insatiable desire to obtain, to get information out of our data, that’s what Torch.AI does. It leverages machine learning to facilitate in analysis and understanding of your data.

Bant Breen:

Tell me what you guys are finding in the marketplace? What is the real, strongest use case these days?

Adam Lurie:

When you think about how commercial organizations make their decisions, they make them based on the bottom line, and based on whether or not a product or a capability is going to help the bottom line. The mission obviously changes based on whether you’re in manufacturing, retail, or health care. But increased performance in AI and AI projects related to data will save costs, it will improve speed, and will protect data in a more secure fashion. So when we talk about why a company like Torch.AI, if you’re able to process information at 10 times speed, have a system or capability that you’re using today, that helps the organization’s bottom line. It will be able to secure the information or keep it in, we’re processing that information in a more secure fashion. It mitigates and manages the risk of getting those towards that bottom line. So we think about the use of technology as the use of a platform like ours, as a thing that specifically helps the goal and mission of the enterprise and focuses on their outcomes and objectives.

Bant Breen:

I know that you started at Torch relatively recently, but we’ve all been living through these last couple of years…It’s been a moment for everybody. I am asking folks now, what kind of learnings did they get from that moment? And how are you seeing that being applied in business today?

Adam Lurie:

There are some of the obvious ones around the ability to work remotely. Skills around managing workforces remotely have clearly been a major theme over the last couple of years. I actually have a core belief that we’ve lost a little bit of human interaction over the last few years. Which helps make businesses and organizations and enterprises move forward. There’s just a difference. A different way to solve problems. When you’re sitting in a room with someone versus when you’re looking at him over a screen, it doesn’t mean we shouldn’t leverage the ability to work efficiently over zoom. But we also can’t forget that we are humans. And humans are designed to be sort of a collective group of people. We like sitting in the same room with individuals. I spent a lot of time thinking about some of the challenges that I have encountered over the last couple of years with COVID. And some of them would have been solved if we were in the same room together. And as we are coming out of the quarantine phase of the pandemic and into more of a business as usual phase, we’ll be able to see if that is truly a reality.

Bant Breen:

Adam, thank you so much for being on UNCAGED today and we look forward to having you back. 

To see the full interview on the Uncaged Youtube channel, go to:

https://youtu.be/frEwM5H1Kq8

 

 

 

E: qstudio@qnary.com