Jakub Dryjas: CEO, Tensorflight: Connected property data (269)

InsTech - insurance & innovation with Matthew Grant

InsTech

Entrepreneurship, Investing, Business

4.8 • 50 Ratings

🗓️ 11 October 2023

⏱️ 28 minutes

🔗️ Recording | iTunes | RSS

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Summary

Tensorflight uses AI, aerial and street view imagery to provide property data for risk analytics on commercial, personal and industrial properties globally. Matthew Grant was joined by Jakub Dryjas, CEO of Tensorflight. They discuss various topics including the importance of partnering, advances in commercial property information by using AI, and tips for aspiring CEOs. Talking points include: What makes Tensorflight different in the aerial imagery space Lessons from a tech start-up CEO Why collaboration is necessary Developing commercial property characteristics If you like what you're hearing, please leave us a review on whichever platform you use or contact Matthew Grant on LinkedIn. Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning. To find out more about InsTech, our membership and offerings visit www.instech.co or contact us [email protected] Continuing Professional Development - Learning Objectives InsTech is accredited by The Chartered Insurance Institute (CII). By listening to any InsTech podcast, you can claim up to 0.5 hours towards your CPD scheme. By the end of this podcast, you should be able to meet the following Learning Objectives: Explain how AI is being used in commercial property analysis Describe the necessary differences to be considered when scaling property data globally Identify the key methods to successfully leading a technology company If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 269 page of the InsTech website or email [email protected] to let us know you have listened to this podcast. To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

Transcript

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0:00.0	Jacob, it's great to be talking to you. We have the pleasure of another person from TensorFlow,
0:05.4	so welcome. Thank you. Thank you for the invite today. Well, the last person we had was Jacob Grob from
0:10.6	the US. It was episode 217. We have to take care with this soundtrack. We had to turn his fish tanks
0:16.1	off last time, so I'm glad you haven't got any fish in the background. We have to worry about.
0:19.6	Mindy, he did have a very popular episode. We had over 1,200 downloads. So we're going to be
0:25.2	building on that today. Yeah, Jacob knows a lot of people. He's been in the industry for a long time,
0:29.7	I think, like over 15 years now.
0:43.3	Good morning, good evening, wherever you are and whatever you are doing.
0:47.2	Now, if this is your first time joining us on the podcast, well, it's great to have you.
0:49.9	Matthew Grant here, CEO of Instech.
0:54.2	And if you're coming back for more, having already joined us, well, that's fantastic too.
0:58.8	Now, we've been out in about a lot in September, a record evening event with over 300 people registered, successful breakfast, and most recently, wine tasting and sampling overlooking
1:04.2	the Thames. Well, no food or drink from us today, but you'll find a lot to enjoy my interview
1:09.2	with Jacob Dryas, CEO of TensorFlow.
1:12.2	We cover many topical issues, including partnering, creating data from third-party sources,
1:17.8	advances in commercial property information, as well as tips from Jacob for aspiring
1:21.5	CEOs, and indeed anyone wanting to grow a business.
1:24.8	Well, we're delighted to have TensorFlow as one of our members, more information on membership at the end, and you can find everything you need to know about
1:30.8	Instech at www.com.
1:40.0	So just before we kick off, just a bit of background to Tensaflight. So you're using AI,
1:44.9	using aerial, using street view imagery, to TensorFlow. So you're using AI, using aerial,
1:50.6	using street view imagery, you're providing property data for risk analytics on both commercial and homeowners and industrial properties around the world. We'll talk more about that,
	...

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