CognitiveScale’s Manoj Saxena on the Future of AI
With AI being in its infancy it is full of unlimited potential that is largely misunderstood by the majority of people. Applications for its use are spanning industries like finance, healthcare, retail, law, and travel. And while many believe AI will be bigger than the internet there are dangers and obstacles ahead if we don’t focus on five key areas.
Saxena argued that applying AI is a challenge as companies try to incorporate the technology for business value. He wrote, “Machine learning teams are struggling with what business problems to solve with clear outcomes. What is needed is a clear set of high-value use cases by industry and process domains where AI can demonstrable business value.”
There’s a strain when it comes to building AI because of the global talent shortage that is heightened by insufficient training at universities. A lack of multidisciplinary skills in strategy, design, insights, and change management negatively impact the supply.
Additional challenges that Saxena wrote about were the absence in quality assurance and testing before products reach the market, a need for ethical and responsible governance of AI, and the importance of design for product usefulness and rate of adoption.