About this video

• Video Title: AI Boom or Bust Session 2: Building Your Winning AI Blueprint
• Channel: NinjaOne
• Speakers: Jonathan Crow, Alex, Joel Kerosone, John Harden, Jimmy Hatel
• Duration: 00:59:28

Overview

This video is the second session of a series discussing the impact and integration of AI, specifically focusing on how businesses, particularly Managed Service Providers (MSPs), can build a successful AI strategy. The discussion covers internal adoption, client-facing applications, overcoming implementation challenges, and the evolving role of MSPs in the AI landscape.

Key takeaways

• Position as a Trusted Advisor: MSPs need to position themselves as the go-to, trusted advisors for their clients regarding AI, as clients are already discussing and exploring AI solutions internally or with others.
• AI as an Acquisition/Partnership Factor: MSPs that are ahead of the curve in AI are more attractive targets for acquisitions or partnerships compared to those solely focused on traditional metrics like EBITDA.
• Nimbleness is an Advantage: Smaller, nimble businesses have an advantage in the AI space due to their ability to pivot and adapt faster than larger corporations.
• Internal AI Adoption is Crucial: Companies need to invest in AI for internal operations, not just product development, to streamline processes and improve efficiency.
• Accessible AI Training is Key: Providing AI access and training to all employees is essential for a successful AI transformation, preventing an "haves and have-nots" scenario.
• Agentic AI Offers High Value: Autonomous AI use cases (Agentic AI) can provide significant value by streamlining complex or tedious tasks within business operations.
• Focus on Friction Reduction: A key strategy for AI adoption is to identify and remove painful or low-value tasks from employees' jobs, leading to greater buy-in and efficiency.
• AI as a Business Problem Solver: MSPs should shift from selling technology widgets to understanding and solving business problems for their clients, with AI as a powerful tool for doing so.
• Prioritize Repeatable Use Cases: When developing AI solutions, focus on those that are repeatable across multiple clients or industries to ensure scalability and efficiency.
• Understanding Limitations is Crucial: Be aware of AI's limitations, such as token output limits and the need for specialized models for complex tasks, to avoid failed implementations.

About this video

• Video Title: AI Boom or Bust Session 2: Building Your Winning AI Blueprint
• Channel: NinjaOne
• Speakers: Jonathan Crow, Alex, Joel Kerosone, John Harden, Jimmy Hatel
• Duration: 00:59:28

Overview

This video is the second session of a series discussing the impact and integration of AI, specifically focusing on how businesses, particularly Managed Service Providers (MSPs), can build a successful AI strategy. The discussion covers internal adoption, client-facing applications, overcoming implementation challenges, and the evolving role of MSPs in the AI landscape.

Key takeaways

• Position as a Trusted Advisor: MSPs need to position themselves as the go-to, trusted advisors for their clients regarding AI, as clients are already discussing and exploring AI solutions internally or with others.
• AI as an Acquisition/Partnership Factor: MSPs that are ahead of the curve in AI are more attractive targets for acquisitions or partnerships compared to those solely focused on traditional metrics like EBITDA.
• Nimbleness is an Advantage: Smaller, nimble businesses have an advantage in the AI space due to their ability to pivot and adapt faster than larger corporations.
• Internal AI Adoption is Crucial: Companies need to invest in AI for internal operations, not just product development, to streamline processes and improve efficiency.
• Accessible AI Training is Key: Providing AI access and training to all employees is essential for a successful AI transformation, preventing an "haves and have-nots" scenario.
• Agentic AI Offers High Value: Autonomous AI use cases (Agentic AI) can provide significant value by streamlining complex or tedious tasks within business operations.
• Focus on Friction Reduction: A key strategy for AI adoption is to identify and remove painful or low-value tasks from employees' jobs, leading to greater buy-in and efficiency.
• AI as a Business Problem Solver: MSPs should shift from selling technology widgets to understanding and solving business problems for their clients, with AI as a powerful tool for doing so.
• Prioritize Repeatable Use Cases: When developing AI solutions, focus on those that are repeatable across multiple clients or industries to ensure scalability and efficiency.
• Understanding Limitations is Crucial: Be aware of AI's limitations, such as token output limits and the need for specialized models for complex tasks, to avoid failed implementations.

Ask Me Anything About This Video

1. What were the three main takeaways Jonathan shared from the previous week's discussion about AI?
2. How does being "AI first" or leading with AI provide an advantage for MSPs when considering acquisitions or partnerships?
3. What is the "secret cyborg" concept discussed in the video, and how can MSPs identify these individuals within client organizations?
4. What are some specific areas or types of AI applications that the speakers advised against implementing, and why?
5. Turn this video into a tweet...