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Revolutionizing Biotech Data Infrastructure with Stavros Papadopoulos

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Contenuto fornito da Steve Swan. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Steve Swan o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

The future of data management in biotech holds the key to faster discoveries and groundbreaking innovations. With new technology shaping the field, using structured multi-modal data could change how scientific progress happens.

In this episode, I’m delighted to be joined by Stavros Papadopoulos, founder of TileDB. With a distinguished background as a Senior Research Scientist at Intel and a contributing member of the MIT CSAIL, Stavros brings a wealth of experience to our discussion.

We talk about the challenges of data management, from breaking down data silos in biotech to how multi-dimensional arrays can improve data storage and access. Stavros also shares how TileDB’s technology is set to make data handling more accurate and efficient.

Learn how these tools can speed up biotech breakthroughs. Listen now!

Specifically, this episode highlights the following themes:

  • The challenge of siloed data systems in biotech
  • The importance of a universal data management approach
  • TileDB’s role in accelerating scientific discovery

Links from this episode:

  continue reading

Capitoli

1. Introduction (00:00:00)

2. About Stavros Papadopoulos (00:00:49)

3. The birth of TileDB (00:02:45)

4. TileDB's universal data structure (00:05:12)

5. Handling legacy data (00:08:46)

6. Breaking down data silos (00:13:09)

7. Infrastructure vs Discovery (00:17:10)

8. Company and team culture (00:24:32)

9. TileDB's approach to data management (00:27:37)

10. The Importance of data infrastructure in AI implementation (00:29:40)

42 episodi

Artwork
iconCondividi
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on December 04, 2025 08:02 (7d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 466404243 series 3537590
Contenuto fornito da Steve Swan. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Steve Swan o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

The future of data management in biotech holds the key to faster discoveries and groundbreaking innovations. With new technology shaping the field, using structured multi-modal data could change how scientific progress happens.

In this episode, I’m delighted to be joined by Stavros Papadopoulos, founder of TileDB. With a distinguished background as a Senior Research Scientist at Intel and a contributing member of the MIT CSAIL, Stavros brings a wealth of experience to our discussion.

We talk about the challenges of data management, from breaking down data silos in biotech to how multi-dimensional arrays can improve data storage and access. Stavros also shares how TileDB’s technology is set to make data handling more accurate and efficient.

Learn how these tools can speed up biotech breakthroughs. Listen now!

Specifically, this episode highlights the following themes:

  • The challenge of siloed data systems in biotech
  • The importance of a universal data management approach
  • TileDB’s role in accelerating scientific discovery

Links from this episode:

  continue reading

Capitoli

1. Introduction (00:00:00)

2. About Stavros Papadopoulos (00:00:49)

3. The birth of TileDB (00:02:45)

4. TileDB's universal data structure (00:05:12)

5. Handling legacy data (00:08:46)

6. Breaking down data silos (00:13:09)

7. Infrastructure vs Discovery (00:17:10)

8. Company and team culture (00:24:32)

9. TileDB's approach to data management (00:27:37)

10. The Importance of data infrastructure in AI implementation (00:29:40)

42 episodi

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