As AI moves from hype to reality, businesses must adopt a pragmatic approach to AI innovations, ensuring responsible usage and strategic investments.
Copyright: intelligencebriefing.substack.com/ – “From Hype to Reality: Generative AI For Pragmatic Applications”
On July 16, Mark Beccue (Independent Market Analyst) joined Andreas Welsch on “What’s the BUZZ?” and discussed the current state of Generative AI in the industry. Generative AI has quickly moved beyond the hype, entering a phase where practical applications and strategic implementations are crucial. But how does technology disruption typically unfold and what commercial models for AI solutions really bring in cash? Here is what they’ve talked about…
Navigating the Cycle of Technology Disruption
Like many technological innovations, Generative AI follows a typical disruption cycle. Initially, there was immense excitement and promise. The arrival of Generative AI made it possible to build AI models without requiring vast amounts of proprietary data or specialized data scientists, breaking down significant barriers. However, this initial hype is giving way to a more pragmatic view as companies realize that, while powerful, Generative AI is not a completely turnkey solution.
The industry is currently in what could be termed the “pragmatic phase.” Companies recognize that generative AI simplifies some aspects of AI development but does not entirely replace the need for robust data and domain expertise. The technology is still evolving, and enterprises are learning to operationalize it effectively. This period involves a lot of trial and error, understanding the best use cases, and setting realistic expectations. It’s a natural part of the technology adoption curve where the realities of implementation temper initial excitement.
Level up your AI leadership game during hype and disillusionment
Andreas Welsch uses real-world knowledge and examples from interviews with over 60 leaders and experts in AI to help you both introduce and incorporate AI into your organization, from aligning it with your business strategy to turning new-to-AI employees into passionate multipliers to making sure humans stay at the center of your AI use.[…]
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Andreas Welsch is an internationally recognized AI leader in the software industry with over 21 years of experience. Andreas has led regional business development teams for AI, built and led an AI Center of Excellence, and currently leads product marketing and go-to-market strategy for AI at SAP, the world’s leading business application provider. He has successfully managed stakeholder relationships with business leaders and technology teams across Fortune 500 companies in more than 80 innovation projects, and helped create an AI mindset across organizations.
Andreas is best known as the creator of the Intelligence Briefing series on LinkedIn and the popular “What’s the BUZZ?” live stream and podcast. He is a frequent keynote speaker and guest on expert panels and podcasts.
Industry focus: High Tech
Previous awards by SwissCognitive:
As AI moves from hype to reality, businesses must adopt a pragmatic approach to AI innovations, ensuring responsible usage and strategic investments.
Copyright: intelligencebriefing.substack.com/ – “From Hype to Reality: Generative AI For Pragmatic Applications”
Navigating the Cycle of Technology Disruption
Like many technological innovations, Generative AI follows a typical disruption cycle. Initially, there was immense excitement and promise. The arrival of Generative AI made it possible to build AI models without requiring vast amounts of proprietary data or specialized data scientists, breaking down significant barriers. However, this initial hype is giving way to a more pragmatic view as companies realize that, while powerful, Generative AI is not a completely turnkey solution.
The industry is currently in what could be termed the “pragmatic phase.” Companies recognize that generative AI simplifies some aspects of AI development but does not entirely replace the need for robust data and domain expertise. The technology is still evolving, and enterprises are learning to operationalize it effectively. This period involves a lot of trial and error, understanding the best use cases, and setting realistic expectations. It’s a natural part of the technology adoption curve where the realities of implementation temper initial excitement.
Level up your AI leadership game during hype and disillusionment
Andreas Welsch uses real-world knowledge and examples from interviews with over 60 leaders and experts in AI to help you both introduce and incorporate AI into your organization, from aligning it with your business strategy to turning new-to-AI employees into passionate multipliers to making sure humans stay at the center of your AI use.[…]
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
Read more: www.intelligencebriefing.substack.com
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