Скачать или смотреть Strategic AI: Invest, Build, or Rent with Ross Hale, CEO, and Mike McCormick, CTO, @ Artium

Summary
In this conversation, Stu discusses the critical decision companies face when considering AI solutions: whether to build a custom solution or buy an off-the-shelf product. Joined by Ross Hale and Mike McCormick from Artium, they explore the strategic benefits, cost implications, and governance challenges associated with each option. The discussion emphasizes the importance of long-term strategic benefits, total cost of ownership, user adoption, and data security in making informed decisions about AI implementation.

Takeaways
The decision to build or buy AI solutions hinges on long-term strategic benefits.
Building allows for greater control over user experience and IP ownership.
Buying may be suitable for internal capabilities that are not customer-facing.
Total cost of ownership should be viewed as an investment rather than just a cost.
Compute costs for AI can be significant and should be factored into decisions.
User adoption and change management are critical for successful AI implementation.
Governance and data security are paramount in regulated industries like healthcare.
Companies must iterate on governance to stay competitive in AI.
The effectiveness of AI solutions depends on how well they are integrated into existing workflows.
Understanding the return on investment is essential for justifying AI expenditures.

Chapters
00:00 The AI Dilemma: Build vs. Buy
04:19 Strategic Considerations in AI Development
06:21 Understanding Total Cost of Ownership
10:41 Change Management and User Adoption
15:36 Data Security and Governance in AI