In general, folks with technical background, rightfully, focus solely on the technology aspect of the application or tool development, whereas business leaders are more concerned about the business value that can be generated by deploying the tool.

Physical objects that do not have the ability to connect to the internet, directly or indirectly, are just things. A thing is an IoT thing if it is connected to other things and/or the internet. IoT devices take computing to the next level where the virtual and physical world converge to produce something that is powerful and actionable.

Democratization & adoption of AI to make food supply reliable and efficient can not only increase revenue for the industrial farm participants, but it also will help small farmers to have a decent improvement in standard of living by having direct access to the consumer.

Certifications are an excellent way to showcase your talent. It also works as a motivator to stretch yourselves a little bit into unchartered territory and expand your knowledge base.

On the flip side, few certifications and courses, especially in the field of Data Science are unreasonably expensive and unbound or shallow in scope.

For an organization to meet the demands of the future, it is critical to facilitate a rapid adoption of data science into the delivery pipeline.

People involved in the delivery chain will need a shift of mindset, the building Process must integrate data science into the project plan and the final Product will have to adopt the innovative toolset by moving to the cloud.

Project management approaches vary from predictive techniques on one end to empirical iterative practices on the other.

Standard practices are geared towards application development with stakeholder participation. These techniques either Waterfall or Agile do not fit well with data-driven projects (AI, ML, Data Science).

For data-driven projects, it is the learning from data analysis & ML models that have to be infused into the application, therefore need a different approach.

Each project management technique has a valid use case.

The primary source of this article is The Future of Jobs Report 2020

The Future of Jobs Report provides the timely insights needed to orient labor markets and workers towards opportunity today and in the future of work. Now in its third edition (2016, 2018 & 2020), the report maps the jobs and skills of the future, tracking the pace of change and direction of travel.

It also aims to shed light on the pandemic-related disruptions in 2020, contextualized within a longer history of economic cycles and the expected outlook for technology adoption, jobs, and skills in the next five years.

My objective here is to provide a quick summary of the 163-page report, from a career management standpoint.