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:

  • Process automation and workflow optimization using AI-powered tools like Robotic Process Automation (RPA) can automate repetitive, rule-based tasks, freeing up employees’ time to focus on higher-value work and improving operational efficiency.
  • AI algorithms can analyze large volumes of data at high speeds, uncover hidden patterns, trends, and insights to inform data-driven decisions and optimize operations.
  • Complex supply chains built by global organizations that involve manufacturing processes and machines depend on large data repositories comprised of enterprise resources such as SKUs, parts, employee data, and availability and utilization of resources. Reviewing these and drawing insights by humans required visualization tools in the past, but now AI can analyze in real-time and identify processes to be automated or improved. 

Enhancing Risk Management

AI can create unparalleled, speedy protection regarding compliance and identifying potential cyber-risks.

  • Your company may have auditors within a finance function obsessing over how the company navigates potential ethical, legal, and security risks associated with business processes. Similarly, Chief Information Security Officers (CISOs) implement controls to mitigate risks related to company data and network threats.
  • AI-powered systems bring the work to the next level. They are here to complement and strengthen the work of CISOs and auditors because these tools can monitor and analyze transactions, network activity, and user behavior in real time, identifying potential threats and fraud attempts before they cause significant damage.  

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:

  • Companies are leaning on AI to develop unique products, services, and solutions to get ahead of competitors. Many have identified opportunities to deploy IIoT implementations across customer touchpoints. While previously, the volume, velocity, and variation of such data could have overwhelmed traditional algorithms and ERP systems, AI tools have made machine-learning approaches practical and economical.
  • Chatbots deliver excellent customer experience and reduce the workload on customer service representatives. They collect behavioral information that leads to faster product development thanks to insights on market trends, customer needs, and potential improvements.
  • What would your sales and marketing leader invest to create a more effective personalization and targeting engine that enables sales? AI can analyze customer data and preferences to provide personalized product recommendations, content, and marketing messages, increasing customer engagement and conversion rates.

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.”

To learn more contact us today at [email protected] or (248) 922-1150 and experience the ChoiceTel difference.