AI is a hot topic these days, and many companies are trying to figure out how to navigate the transition from AI vision to AI reality. Debasis Dutta, SVP and head of Codecademy Enterprise Solutions at Skillsoft, recently spoke at VB Transform in San Francisco and shared some valuable advice on this topic.
Dutta outlined four phases of AI maturity: exploration, experimentation, innovation, and realization. He emphasized that it doesn’t matter where your enterprise is in this journey, what matters is the progress you make and the business outcomes you achieve.
During the exploration phase, companies need to identify use cases and challenges that AI can solve. This is where different AI tools and capabilities come into play, and it’s essential to understand the specific needs of your organization.
In the experimentation phase, leaders need to identify processes that need to change and establish guidelines and governance models to ensure that AI implementation is successful. It’s crucial to constantly assess whether AI is delivering the expected results and solving the intended problems.
Innovation comes when AI becomes ingrained in the organization’s DNA, and change management becomes critical at this stage. Skillsoft has trained over 1 million learners in AI and gen AI, working with companies like Microsoft, AWS, and Cisco to upskill their workforce.
Reskilling and upskilling are essential components of the AI maturity model, and companies need to have a holistic skilling development program in place. Tailored learning journeys can help employees meet their goals and effectively use AI in their day-to-day work.
Measuring progress, testing after reskilling, and continually assessing metrics are important aspects of the AI implementation process. Close interaction with tools and consistent practice are necessary to ensure that employees are effectively using AI.
Internal promotion and marketing are also crucial for stakeholder management, as there will always be naysayers and skeptics. Understanding people’s fears and providing them with the right tools and support can help them embrace the AI journey.
Overall, navigating the transition from AI vision to AI reality is a complex process that requires careful planning, continuous learning, and effective change management. By following the advice shared by Debasis Dutta, companies can successfully implement AI technologies and drive business outcomes.
