Four steps to succeeding in AI's "golden age"

Jeff Bezos has hailed this era as the "golden age of AI". However, a quarter of companies are still reporting a 50 per cent failure rate for AI projects, pointing to a lack of AI skills and unrealistic expectations as the two main roadblocks. Other issues raised were high costs, a lack of data readiness and the risk of bias. In such a rapidly growing market, businesses on the road to AI need a clear plan to overcome these challenges to improve their chances of success. Whether it's through the growing level of investment in AI – which is set to skyrocket to $98bn by 2023 – or the fact AI projects are set to double over the next year, organisations are improving performance, efficiency and analytics capabilities with AI to solve real world problems faster.