Abstract: The promise of IoT adoption by industries is projected to add several trillion dollars to global economy. The holy grail of autonomous machines interacting and taking analytics driven decisions of their own accord will revolutionize industries like manufacturing, transportation and healthcare.
The challenges in these early stages of the IoT and analytics revolution appear to be design & deployment of sensors, communication mechanism from sensors to big data appliances, big data analytics technology and manpower particularly data scientists. However, the progress made in the last few years has significantly improved our capacity to address these challenges. This lecture is not about any of these challenges. This presentation is about what happens next i.e. automated decision making.
The autonomous decision making driven from IoT and analytics is not going to happen in a vacuum. Decisions are being made in an enterprise and there is an entire eco system of business processes, operational accountability and value proposition that exists today. In order for IoT to prove its worth, this eco-system will have to be revamped. This, in my view, is the biggest and almost insurmountable challenge in the near future and all the progress of other IoT challenges will hit a roadblock. The session will cover how to analyze and assess this challenge, how to start working towards an evolutionary roadmap to mitigate this challenge and how to ensure that the IoT initiatives are successful.
Bio: Nauman Sheikh is a veteran of the data architecture profession who has built dozens of large scale operational, data warehouse and analytics systems over the last 18 years. He has worked in three continents solving business challenges in consumer credit, risk, fraud and direct marketing areas dealing with a variety of cultural, technological and legal challenges surrounding data and its use. He is a hands-on practitioner with skills ranging from data warehousing to predictive modeling to analytics driven business decisions and their audit and control frameworks. He is the author of a recently published book “Implementing Analytics: A Blueprint for Design, Development & Adoption”. He has worked with companies like Experian, Fidelity Information Systems, Navistar and Exelon. He lives near Washington D.C in USA