"There's a good chance your playbook is becoming rapidly outdated. Also: 10 ways AI can inflict unprecedented damage in 2026 That's the challenge posed by Thomas Erl, a prolific tech author and educator, in a recent interview with Matt Strippelhoff, partner and CEO at Red Hawk Technologies. Erl calls for fresh playbook revisions and tried-and-true practices to help AI proponents and developers vet their ideas, run safe pilots, and prove the return on investment of their projects."
"Start with a meaningful problem: Identify where AI will truly make a difference, versus AI for AI's sake. "Some companies are looking for a way to apply AI, but they haven't identified the problem they want to solve," said Strippelhoff. "So, they have a solution looking for a problem. Traditional strategic planning is critical to make sure you're identifying a meaningful problem.""
Technology playbooks require revision to address AI's rapid changes and unique risks. Playbooks should prioritize identifying meaningful problems where AI delivers real value rather than adopting AI for its own sake. Desired outcomes and a clear business case must be defined up front to justify investment and guide pilots. Revisions should include focused use cases, reliable data sources, appropriate training, safe pilot procedures, and mechanisms to vet ideas. Governance and strong security policies must be integrated to manage risk. Updated playbooks should build on existing IT practices while incorporating AI-specific controls and ROI demonstration requirements.
Read at ZDNET
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