As organizations look to leverage AI, appointing a professional to lead this process is as critical as the technology itself. Organizations are developing strategies to accelerate and coordinate the adoption of the latest and greatest technologies, as well as looking at how to use AI to drive growth, increase productivity, improve experiences, and accelerate innovation.
Chief AI Officers play a critical role in organizations looking to streamline their operations and gain a competitive advantage with AI. In the public sector, the Chief AI Officer can provide structure and guidance to deliver better services to citizens and promote innovation and competition. While in the case of private industries, the Chief AI Officer (CAIO) can bring increased productivity for team members and a better experience for their end customers.
Here are four tips for CAIO to accelerate AI adoption:
- Develop a clear strategy aligned with business objectives. According to Dell, the CAIO should create a detailed roadmap that identifies how AI can drive the company’s strategic goals. This is critical to making decisions about the right governance model, data strategy, and technology investments that will lead to AI success in the future. There is no one-size-fits-all approach when it comes to adopting AI. What works for one organization may not work for others. Clearly define your goals and what you would like to achieve, and then determine how (or if) you should approach it with AI.
- Start pilot projects and demonstrate value quickly: Starting with pilot projects in specific areas can help demonstrate the value of AI quickly and generate enthusiasm across the organization. For Dell Technologies, these projects need to be manageable in scale and time, with clear and measurable outcomes. Once positive results are achieved, the CAIO can use these successes as examples to justify broader adoption and secure further investment.
- Addressing AI with a holistic approach, from three different perspectives: The business perspective requires leaders to recognize the transformative potential of AI, how to leverage it with the right use cases, and identify opportunities to apply it to work through testing and learning. The technical perspective involves having a deep understanding of the fundamentals of AI and how it can be used to solve real-world problems. And finally, the human side must communicate the why of that AI strategy to employees, customers, and partners.
- Addressing AI openly. AI innovation requires a broad and open ecosystem, offering equal opportunities across the technology ecosystem and fostering the creation of new AI breakthroughs through greater access to innovation and flexibility. In fact, open models and technologies accelerated the path of many early AI adopters, including Dell.
