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Exploring AI Integration in Biotech with David Williamson

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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.

Automation has become a pivotal force in the advancement of the biotech sector, ushering in a new era of AI-driven solutions.
In this episode, I'm joined by David Williamson, the CIO at Abzena and a trailblazer in biotech innovation. We're peeling back the layers of AI integration, from commercial chatbots that defy the conventional, to AI's grip on scientific research.
All that, plus a dive into the pressing need for data governance and the critical role of innovative IT leadership in propelling the industry forward.
Our exchange on the strategic incorporation of technology, and the necessary collaboration with tech giants, underlines the gravity of pursuing AI initiatives in biotech.
So tune in, get inspired, and let's push the boundaries of what's possible in biotech together.

Specifically, this episode highlights the following themes:

  • Scalability and impact of AI chatbots for biotech firms.
  • The enabling role of data governance in AI advancements.
  • AI's influence on shortening drug development timelines.

Links from this episode:

  continue reading

Capitoli

1. Introduction (00:00:00)

2. Data specialists needed to collect, ingest data (00:05:06)

3. Considerations for working with third-party AI solutions (00:06:55)

4. Cost scales to interaction size; seeking information sources (00:11:37)

5. Identifying business opportunities through targeted research outreach (00:13:38)

6. Applying technologies to solve medical research challenges (00:24:59)

7. Using tech to speed up medical research (00:26:30)

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 (3d 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 396030157 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.

Automation has become a pivotal force in the advancement of the biotech sector, ushering in a new era of AI-driven solutions.
In this episode, I'm joined by David Williamson, the CIO at Abzena and a trailblazer in biotech innovation. We're peeling back the layers of AI integration, from commercial chatbots that defy the conventional, to AI's grip on scientific research.
All that, plus a dive into the pressing need for data governance and the critical role of innovative IT leadership in propelling the industry forward.
Our exchange on the strategic incorporation of technology, and the necessary collaboration with tech giants, underlines the gravity of pursuing AI initiatives in biotech.
So tune in, get inspired, and let's push the boundaries of what's possible in biotech together.

Specifically, this episode highlights the following themes:

  • Scalability and impact of AI chatbots for biotech firms.
  • The enabling role of data governance in AI advancements.
  • AI's influence on shortening drug development timelines.

Links from this episode:

  continue reading

Capitoli

1. Introduction (00:00:00)

2. Data specialists needed to collect, ingest data (00:05:06)

3. Considerations for working with third-party AI solutions (00:06:55)

4. Cost scales to interaction size; seeking information sources (00:11:37)

5. Identifying business opportunities through targeted research outreach (00:13:38)

6. Applying technologies to solve medical research challenges (00:24:59)

7. Using tech to speed up medical research (00:26:30)

42 episodi

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