THE TWO MAIN BARRIERS AGAINST #DEEPLEARNING #AI #AIio #BigData #ML #NLU #Futureofwork http://ow.ly/fU6t30rgF1U...

Deep learning is a subset of machine learning. Deep learning takes it a step further.

In May 2019 Deloitte surveyed 523 executives in a range of industries in 26 countries across Africa, the Americas, Asia and Europe on their intelligent automation strategies and the impact on their workforces. The analysis reveals that these organisations are not only continuing to use robotic process automation (RPA) but are moving beyond it by increasing deployment of intelligent automation. Fifty-eight per cent of surveyed executives report they have started their automation journey. Of these, 38 per cent are piloting (1-10 automations), 12 per cent implementing (11-50 automations) and eight per cent automating at scale (51 automations) – twice as many as in 2018. Organisations believe they can transform their business processes, achieving higher speed and accuracy by automating decisions on the basis of structured and unstructured inputs. They expect an average payback period of 15 months – and in the scaling phase just nine months.

The report, headed "Sizing the prize", establishes that for many businesses to grow, they need to make strategic investments into artificial intelligence technology. This is based on the premise that to stimulate consumer demand, product enhancements are required. Here artificial intelligence platforms can drive greater product variety, such as increased personalization, attractiveness and affordability of products over time. The emphasis upon personalization reflects a drift towards niche products, tailored to the specific consumers and a move away from mass production models in some sectors. In total, PwC calculated that artificial intelligence could contribute up to $15.7 trillion to the global economy by 2030.