If Artificial Intelligence is such a game-changer, transforming our jobs and businesses, our ways of engaging with customers and forecasting trends, why are so many organizations so slow to adopt it?
The reason is unlikely to be lack of awareness. As consumers, we routinely call cabs via Uber, and chat with Siri and Alexa, all of which are AI-driven technologies. The implications of AI for every sector – from healthcare and medical research to manufacturing, banking and insurance – are profound. What makes AI systems so transformative is that they can “learn by doing”, and can handle complex interactions at a speed and scale that humans cannot match.
The challenge in AI is no so much taking the first step, as knowing what that first step should be. Merely following the hype can create more problems than it solves. “Peak hype” with any new technology is inevitably followed by the “trough of disillusionment” among players who have rushed into action without a sense of direction.
At Cognizant, we are working to convert AI’s promise to practice, within a framework which makes the journey to AI more human-centric. Working with clients, Cognizant identifies touchpoints within the organization where AI will have the greatest impact: to automate processes, improve customer experience or anticipate trends.
White paper: 10 case studies of organizations making AI work
There has to be a middle way between the overhyped promise of AI and the genuine risk inherent in doing nothing at all. Despite knowing that AI is sweeping away old models, many organizations hesitate for lack of a roadmap, or stories of how real-life companies are making it work.
In a new white paper, Cognizant tells these stories and brings AI to life, with ten case studies highlighting how real organizations are applying AI to accelerate decision making, improve business processes, enhance user engagement, reduce costs and drive remarkable growth and profitability.
You can download the Cognizant white paper here.