1.The move to “Transformation-as-a-Service.” Many large corporations realize they need to transform AI and machine learning operations and processes, but they can’t achieve this with speed and meaningful impact. The answer is Transformation-as-a-Service.
2. Customer experience is the main battle ground in digital. There will be two types of companies – those who do customer experience (CX) well and those who go out of business: the True North for digital transformation in 2020.
3. Human in the loop – the increasing value of judgment and reskilling. Humans will play a critical role in the last mile of AI and data analytics. While machines predict and analyze, humans are needed for their judgment, empathy and creative problem-solving. In 2020, the value of data decreasing while the value of human judgment increases.
4. The ethical governance of data, AI and digital. The rise of digital ethics officers, who will be responsible for implementing ethical frameworks to make decisions. This includes security, bias, intended use and built-in governance.
5. Increased modularity in the form of accelerators. Implementing AI is not enough; companies must expedite AI adoption through pretrained experts, or “accelerators.” How accelerators democratize AI will have huge implications given the prediction that by 2025 organizations that are AI leaders will be 10 times more efficient and hold twice the market share.
Classroom discussion questions:
- Why is AI an important operations tool?
- What is the role of the data analyst?