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Need for Speed: High-Speed Data Processing Solution For IoT | Michael Gilfix at KX | The IoT Podcast

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Content provided by The IoT Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The IoT Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

In this episode of The IoT Podcast, we are joined by Michael Gilfix - Chief Product and Engineering Officer at KX to dive into the secrets behind lightening-fast data analytics and processing in IoT, uncovering some mind-blowing use cases 🏎️.

Why are F1 racing car manufacturers are turning to KX to supercharge their performance? This episode explains all.

We begin the episode by discussing the connection between high-frequency trading and IoT, followed by case studies highlighting KX's impact in energy(gamification), automotive (F1 cars!), and manufacturing industries.

We dive into the technology behind KX, explaining how it processes and analySes data in real-time IoT environments.

Lastly, we explore the debate of data processing location - edge or cloud - and the trade-offs involved.

Chapters…

  • 00:00 Introduction to Michael and Data Analytics in IoT
  • 08:07 The Value of High Speed Data processing in IoT
  • 13:22 Metering Case Study
  • 19:02 F1 Racing cars Case Study
  • 26:05 Handling Large Volumes of Data and Ensuring High Availability
  • 28:53 Edge vs Cloud - Most ideal data processing point?
  • 33:17 Democratising Analytics and Harnessing the Power of Data

Thank you to our season sponsor 5V Tech. Discover how 5V Tech can help you unlock your scaling potential in cutting-edge tech and IoT, here: https://www.weare5vtech.com/

ABOUT THE GUEST

Michael Gilfix is the Chief of Product and Engineering at KX. He is a seasoned software executive known for his expertise in driving growth and building scalable global software businesses. With a strong track record in product management, sales, M&A, and partnerships, he excels in creating high-performing software portfolios. Michael's communication skills shine in public speaking and press interactions, making him a standout leader in the industry.

Connect with Michael: https://www.linkedin.com/in/michaelgilfix/

ABOUT KX KX

is a company that offers a suite of products for high-performance data analysis, including vector databases, time-series analysis, and real-time analytics. Their flagship product, kdb+, is a high-performance database engine that is claimed to be the world’s fastest. KX’s products are used in a variety of industries, including finance, healthcare, and manufacturing.

Find out more about KX: https://kx.com/

SUBSCRIBE TO THE IOT PODCAST ON YOUR FAVOURITE LISTENING PLATFORM: https://linktr.ee/theiotpodcast Sign Up for exclusive email updates: https://theiotpodcast.com/get-exclusive-access/

Contact us to become a guest/partner: https://theiotpodcast.com/contact/

Connect with host Tom White: / tom5values

  continue reading

127 episoade

Artwork
iconDistribuie
 
Manage episode 417361372 series 3448162
Content provided by The IoT Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The IoT Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

In this episode of The IoT Podcast, we are joined by Michael Gilfix - Chief Product and Engineering Officer at KX to dive into the secrets behind lightening-fast data analytics and processing in IoT, uncovering some mind-blowing use cases 🏎️.

Why are F1 racing car manufacturers are turning to KX to supercharge their performance? This episode explains all.

We begin the episode by discussing the connection between high-frequency trading and IoT, followed by case studies highlighting KX's impact in energy(gamification), automotive (F1 cars!), and manufacturing industries.

We dive into the technology behind KX, explaining how it processes and analySes data in real-time IoT environments.

Lastly, we explore the debate of data processing location - edge or cloud - and the trade-offs involved.

Chapters…

  • 00:00 Introduction to Michael and Data Analytics in IoT
  • 08:07 The Value of High Speed Data processing in IoT
  • 13:22 Metering Case Study
  • 19:02 F1 Racing cars Case Study
  • 26:05 Handling Large Volumes of Data and Ensuring High Availability
  • 28:53 Edge vs Cloud - Most ideal data processing point?
  • 33:17 Democratising Analytics and Harnessing the Power of Data

Thank you to our season sponsor 5V Tech. Discover how 5V Tech can help you unlock your scaling potential in cutting-edge tech and IoT, here: https://www.weare5vtech.com/

ABOUT THE GUEST

Michael Gilfix is the Chief of Product and Engineering at KX. He is a seasoned software executive known for his expertise in driving growth and building scalable global software businesses. With a strong track record in product management, sales, M&A, and partnerships, he excels in creating high-performing software portfolios. Michael's communication skills shine in public speaking and press interactions, making him a standout leader in the industry.

Connect with Michael: https://www.linkedin.com/in/michaelgilfix/

ABOUT KX KX

is a company that offers a suite of products for high-performance data analysis, including vector databases, time-series analysis, and real-time analytics. Their flagship product, kdb+, is a high-performance database engine that is claimed to be the world’s fastest. KX’s products are used in a variety of industries, including finance, healthcare, and manufacturing.

Find out more about KX: https://kx.com/

SUBSCRIBE TO THE IOT PODCAST ON YOUR FAVOURITE LISTENING PLATFORM: https://linktr.ee/theiotpodcast Sign Up for exclusive email updates: https://theiotpodcast.com/get-exclusive-access/

Contact us to become a guest/partner: https://theiotpodcast.com/contact/

Connect with host Tom White: / tom5values

  continue reading

127 episoade

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