The Strategic CEO’s Guide to Navigating the AI Landscape - Part III
Part 3 of 3
PREVIOUS IN THIS SERIES: KEY BUSINESS IMPLICATIONS AND ACTIONS
Transition from IT to OT Applications
The application of AI is not limited to the IT sector. In fact, significant value can be unlocked when AI transitions to the OT (Operational Technology) sector. While gains in the IT sector are predominantly productivity-oriented, OT applications have the potential to enhance operational excellence. As a CEO, ensuring your organization is prepared for, and can take advantage of, AI applications across both domains is crucial.
Start with IT-focused AI applications for initial productivity gains, then move towards OT-focused, problem-solving AI applications for significant operational excellence.
Tap into Open-Source Models
With the advent of open-source foundation models like Meta's Llama, it's easier than ever to build custom AI solutions that meet your specific needs. Leverage these models as a base and focus on domain-specific fine-tuning.
Expect Further Cost Reductions
Historically, technological advancements have led to significant cost reductions, and AI is no exception. While infrastructure considerations are important, CEOs should focus their investments on areas that provide the greatest value rather than being overly concerned about infrastructure costs.
Stay Ahead of Hardware Innovations
Plan for the transition from CPUs to GPUs and eventually to Intelligence Processing Units (IPUs). Companies are already pioneering this transition, and staying ahead can future-proof your operations.
Adopt Efficient Training Methods
As AI model training becomes more complex and demanding, adopt efficient and reliable training technologies offered by companies like MosaicML.
Prepare for System-2 AI
Current Generative AI lacks the higher abstraction for planning and reasoning required for autonomous intelligence. Anticipate advancements in Mode-2 or System-2 AI for next-level AI capabilities.
Adapt and Transform
AI isn't just about adoption; it's about transformation. Use it as a tool to rethink and optimize your business processes.
As we move further into the era of AI, the companies that will thrive are those that are adaptable, proactive, and forward-thinking. A key part of this will be understanding the evolution of AI and aligning your organization's strategy accordingly. Whether through the implementation of AI technologies or fostering AI expertise within your team, preparation now will ensure your company can seize the opportunities that AI presents in the future.
Part 3 of 3
PREVIOUS IN THIS SERIES: KEY BUSINESS IMPLICATIONS AND ACTIONS
Transition from IT to OT Applications
The application of AI is not limited to the IT sector. In fact, significant value can be unlocked when AI transitions to the OT (Operational Technology) sector. While gains in the IT sector are predominantly productivity-oriented, OT applications have the potential to enhance operational excellence. As a CEO, ensuring your organization is prepared for, and can take advantage of, AI applications across both domains is crucial.
Start with IT-focused AI applications for initial productivity gains, then move towards OT-focused, problem-solving AI applications for significant operational excellence.
Tap into Open-Source Models
With the advent of open-source foundation models like Meta's Llama, it's easier than ever to build custom AI solutions that meet your specific needs. Leverage these models as a base and focus on domain-specific fine-tuning.
Expect Further Cost Reductions
Historically, technological advancements have led to significant cost reductions, and AI is no exception. While infrastructure considerations are important, CEOs should focus their investments on areas that provide the greatest value rather than being overly concerned about infrastructure costs.
Stay Ahead of Hardware Innovations
Plan for the transition from CPUs to GPUs and eventually to Intelligence Processing Units (IPUs). Companies are already pioneering this transition, and staying ahead can future-proof your operations.
Adopt Efficient Training Methods
As AI model training becomes more complex and demanding, adopt efficient and reliable training technologies offered by companies like MosaicML.
Prepare for System-2 AI
Current Generative AI lacks the higher abstraction for planning and reasoning required for autonomous intelligence. Anticipate advancements in Mode-2 or System-2 AI for next-level AI capabilities.
Adapt and Transform
AI isn't just about adoption; it's about transformation. Use it as a tool to rethink and optimize your business processes.
As we move further into the era of AI, the companies that will thrive are those that are adaptable, proactive, and forward-thinking. A key part of this will be understanding the evolution of AI and aligning your organization's strategy accordingly. Whether through the implementation of AI technologies or fostering AI expertise within your team, preparation now will ensure your company can seize the opportunities that AI presents in the future.
