| | APRIL 202419CIOReviewbuild and foster a culture of continuous learning, specifically around AI research and tools. This can include training sessions, workshops, or other educational opportunities that give employees the ability to remain on the cutting edge of new technological developments. Continuous learning will need to become an expectation of employees to keep the company competitive as AI capabilities advance. 2. Celebrating Experimentation: Innovations that drive company performance will come from a culture of testing and learning. Companies need to celebrate the spirit of experimentation through activities like hack-a-thons or innovation days where employees are allotted time to explore new ideas. These concepts will need to be expanded to ensure innovative thinking is taking place year-round. Cultures that succeed will value failed experiments as a step on the road to bigger breakthroughs. 3. Building with cross-collaboration and team diversity in mind: The broad applicability of AI and its potential to impact every dimension of businesses requires diverse perspectives to drive innovation. Diversity in AI team composition is crucial. It's not just about gender or ethnicity but also about diverse academic backgrounds and thinking styles. Leading AI development teams in companies like Microsoft, IBM, and Google are known for bringing together engineers, analysts, sociologists, and strategists to collaborate in new AI development initiatives. This provides a well-rounded approach to problem-solving. Just as an AI model trained on a specific subset of data will be prone to bias, so too will teams with limited diversity across backgrounds and expertise. 4. Moving quickly with agile product developmentAI projects benefit from an agile approach. Accelerating AI innovation means that there will be significant changes in this space over the long term. That means that short development cycles, regular feedback, and adaptability will be valuable for making real business impacts with AI in an ongoing way. Small, cross-functional teams work autonomously on different aspects of the product will position companies to move quickly.5. Investing in AI Leadership: Company leadership will need to be well-versed in how AI can drive benefits for their company, industry, and client base. Each leader should have explicit goals related how they will leverage AI to drive their team and the company forward. These leaders should understand AI's strategic and ethical implications and guide the company through AI integration. More specific leadership roles in AI will emerge as it becomes a critical component of company growth.Structuring teams for AI development is not just about assembling talent, it's about creating ecosystems of continuous learning, collaboration, and innovation. Our approaches to team building need to be strategically structured to move quickly and adapt to new capabilities to position our teams to lead the way as innovators driving new value for our industries. Now is the time to reflect on whether we are positioned for the accelerating rate of AI development and take the necessary steps to lead the way. Structuring teams for AI development is not just about assembling talent, it's about creating ecosystems of continuous learning, collaboration, and innovation
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