Artificial Intelligence (AI) is no longer the future; it’s the everyday. We’ve become so accustomed to tapping into it for day-to-day tasks like searching the internet or choosing a movie to watch that we barely register that we’re using it.
Likely, your organization and competitors are already seeing a positive return on investment in AI, Machine Learning, and Deep Learning talent while stumbling upon a sparse talent pool in this space.
Every day, we work with businesses, finding exciting new ways to put this technology to work. This can involve creating exciting new services, improving efficiency, or even disrupting entire industries.
For example, a significant challenge of AI implementation is to ensure cohesive adoption throughout the organization. This is where an AI leader in your organization could play the critical role of bridging the gap across roles and business units to foster synergy and facilitate usage.
Moreover, bringing an AI leader with a long view can help attract, develop, and retain top AI talent across business divisions and ensure the company has the necessary expertise to stay at the forefront of AI development.
Lending their technical prowess, AI leaders will steer the organization through the hurdles and wins of the implementation journey. They will identify opportunities where others see roadblocks. Here, we highlight four key areas that will benefit from an AI leader in your organization across every industry:
Increasing Operational Efficiency
AI can do many things for your organization. Perhaps the biggest of them is enacting extraordinary levels of efficiency, cost savings, and faster decision-making. Some examples:
Enhancing Risk Management
AI can create unparalleled, speedy protection regarding compliance and identifying potential cyber-risks.
Accelerating Product Development
If AI was once viewed as a productivity enabler, it’s directly tied to product development cycle and business performance. For example:
Unlocking Growth Opportunities
As traditional companies advance and become more technologically advanced, new challenges will arise. An AI leader needs to bring awareness of new trends and be able to target possible acquisitions at well-timed valuations from the startup world.
Ultimately, successful outcomes will heavily rely upon how companies use AI, which is also under the knowledge-sharing scope of the AI leader. As Justin Hotard, Executive Vice President & GM, HPC & AI Business Group and Hewlett Packard Labs, explains: “Enterprises that are betting on AI to deliver new sources of value recognize that responsible use of AI is foundational. Integrating across functions and business lines increases transparency in AI, making it safe and reliable to implement and generate meaningful outcomes.”