In a recent article by Forbes, a perspective of incorporating AI into the mainstreams of enterprises concludes that organizations may still need some preparation. As companies wake up to the fact that they’re already in the race toward hyper-automation, a sound strategy for building an intelligent ecosystem is what will lead them to the finish line.
“‘…while AI is being widely adopted, much of the work is confined to specific narrow use cases, versus more strategic enterprise-centric adoption… As much as we’re seeing this growth in adoption, less than a third of the companies that we surveyed have deployed AI in multiple businesses or functions.’ Popular use cases in these initial stages of AI include improving logistics functions, reducing inventory, increasing inventory turns, and increasing overall equipment effectiveness.”
Due to the inherently complex nature of the tasks, the lack of maturity in the tools, and the difficulty in finding truly experienced people to build and run them, creating intelligent experiences is extremely difficult to do, or, as Gartner calls it, “insanely hard.”
It’s important to remember that having a platform to build such experiences does not guarantee success. You also need design, people, and processes that work in a coordinated way. Creating a cohesive ecosystem of interdependent technologies, processes, and people will help organizations take AI, and their own goals, further – and doing so requires a strategy. Within the ecosystem, these elements are coordinated to enable, support, manage, facilitate, and benefit from conversational AI being used to aid processes and communications.
“‘It’s never just a technology challenge,’ says McKinsey’s Hall. When looking at successful enterprise AI implementations, they are always aligned to business goals, and these enterprises are ‘doubling down on investing in current employees and upskilling and training them by creating analytics and AI academies.’ Another common element is ‘internal collaboration and having processes in place to bring business leaders, technologists, and data scientists together to identify where there are collaboration opportunities, making it far more likely that the AI technologies actually generate business value.'”
The bottom line is that avoiding the inevitable widespread adoption of hyper-automation will render organizations obsolete, while companies implementing hyper-automation successfully are putting themselves in a different league than even their nearest competitors. Building a sound strategy and strong ecosystem can put an organization in a place of huge opportunity and success with AI and their own organizational goals.
Just like a website needs content strategy to avoid becoming a collection of disorganized pages, successful hyper-automation requires a sound strategy for building an intelligent ecosystem and the willingness to quickly embrace new technology.
Read the full article from Forbes to learn more.
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