Why companies that wait to adopt AI will never catch up

Companies that wait to adopt AI might never catch up.

Most companies are fast followers because they ‘wait and see’ what others are doing before transforming.

This fast follower strategy will not work for AI.

There are three key reasons for this:

1) Choosing and implement the right AI stack based on the needs of the organization around internal and external use cases, data privacy, and security. The architecture decisions become challenging given how dynamic this space is. There are AI innovations and accleration happning almost every week.

2) Expert human need to spend enough time with AI to provide direction, nudges and learning. Even if we use RLHF, there is significant effort required to provide the rewards-based learning and train AI. This would apply to either a broad LLM like OpenAI‘s GPT 4, Google‘s PALM 2; or a narrow LLM like what Intuit and Bloomberg are creating. Also, the training needs be aligned to responsible AI principles.

3) Ongoing AI governance against model drift: AI applications need a comprehensive governance approach. AI algorithms, built on historical data, decay over time and need continuous monitoring for potential bias and interpretation of changes in business context.

If companies don’t start early, it is hard to build muscle over a period of time.

If your company is not adopting AI, your competition likely is. With AI, the competition can disrupt incumbents not in decades, but in years or even months.

#ai #aigovernance #aistrategy #llms #llm

Further reading, though slightly dated: https://lnkd.in/gB54xX8F

Related Posts

FeedForward: Elevating Leadership and Performance for a Brighter Future

'FeedForward' is the new feedback.

Elevating AI Artistry: DALL-E 3 and ChatGPT Unite for Creative Innovation

Starting next month, you will be able to create art and images in ChaGPT with OpenAI's DALL-E 3 release.

Breaking Boundaries in AI: Data-Efficient Learning Redefines Machine Intelligence

There's a transformative shift happening in AI with prompt engineering.

Unlocking AI’s Potential: Overcoming Challenges for a Brighter Future

Change is impossible in the beginning, messy in the middle, and beautiful at the end.

Maximize Efficiency and Legal Confidence with Microsoft’s Copilot Copyright Assurance

If a user generates content using AI, could the user be held liable for copyright infringement?

Boosting Sales Success: Leveraging the Power of Generative AI in a Digital World

Generative AI is also a revenue generator: here is why Sales and Generative AI are a perfect match.
Scroll to Top