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Why Your AI Strategy Will Fail Without A Business Plan

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Manage episode 525634785 series 2833920
Content provided by Elevano. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Elevano 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://podcastplayer.com/legal.

Stop chasing shiny objects and start driving real business outcomes. Marathon Health CTO Venkat Chittoor joins the show to explain why AI is the ultimate enabler for digital transformation but only when it is anchored by a rock solid business strategy.

Essential Insights for Tech Leaders

AI is not a standalone strategy. It is a powerful tool to accelerate a pre-existing business North Star.

Success in digital transformation follows a specific maturity curve. Start with personal productivity, move to replacing mundane tasks, and eventually aim for cognitive automation.

Governance must come before experimentation. Establishing guardrails for data privacy is critical before launching any AI pilot.

Measure value through tangible efficiency gains. In healthcare, this means reducing administrative burden or "pajama time" so providers can focus on patient care.

Don't let marketing speak fool you. Always validate vendor claims against your specific industry use cases.

Timestamped Highlights

00:50 Defining advanced primary care and the mission of Marathon Health

02:44 Why AI strategy is useless without a defined business strategy

05:01 The three steps of AI adoption from productivity to cognition

12:14 How to define success metrics for a pilot versus a scaled V1 solution

16:40 Real world ROI including call deflections and charting efficiency

21:43 Advice for leaders on data quality and avoiding vendor traps

A Perspective to Carry

AI is actually enabling [efficiency], but without a solid business strategy, AI strategy is not useful.

Tactical Advice for the Field

When launching an AI initiative, focus heavily on the underlying data quality. Ensure your team accounts for data recency, accuracy, and potential biases, as these factors determine whether an experiment succeeds or fails. Start small with pilots to build muscle memory before attempting to scale complex systems.

Join the Conversation

If you found these insights helpful, subscribe to the podcast for more deep dives into the tech landscape. You can also connect with Venkat Chittoor on LinkedIn to follow his work in healthcare innovation.

  continue reading

590 episodes

Artwork
iconShare
 
Manage episode 525634785 series 2833920
Content provided by Elevano. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Elevano 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://podcastplayer.com/legal.

Stop chasing shiny objects and start driving real business outcomes. Marathon Health CTO Venkat Chittoor joins the show to explain why AI is the ultimate enabler for digital transformation but only when it is anchored by a rock solid business strategy.

Essential Insights for Tech Leaders

AI is not a standalone strategy. It is a powerful tool to accelerate a pre-existing business North Star.

Success in digital transformation follows a specific maturity curve. Start with personal productivity, move to replacing mundane tasks, and eventually aim for cognitive automation.

Governance must come before experimentation. Establishing guardrails for data privacy is critical before launching any AI pilot.

Measure value through tangible efficiency gains. In healthcare, this means reducing administrative burden or "pajama time" so providers can focus on patient care.

Don't let marketing speak fool you. Always validate vendor claims against your specific industry use cases.

Timestamped Highlights

00:50 Defining advanced primary care and the mission of Marathon Health

02:44 Why AI strategy is useless without a defined business strategy

05:01 The three steps of AI adoption from productivity to cognition

12:14 How to define success metrics for a pilot versus a scaled V1 solution

16:40 Real world ROI including call deflections and charting efficiency

21:43 Advice for leaders on data quality and avoiding vendor traps

A Perspective to Carry

AI is actually enabling [efficiency], but without a solid business strategy, AI strategy is not useful.

Tactical Advice for the Field

When launching an AI initiative, focus heavily on the underlying data quality. Ensure your team accounts for data recency, accuracy, and potential biases, as these factors determine whether an experiment succeeds or fails. Start small with pilots to build muscle memory before attempting to scale complex systems.

Join the Conversation

If you found these insights helpful, subscribe to the podcast for more deep dives into the tech landscape. You can also connect with Venkat Chittoor on LinkedIn to follow his work in healthcare innovation.

  continue reading

590 episodes

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