IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy

IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy

Wednesday, March 20
11:00 AM - 11:40 AM
Room 131-132

Forrester forecasts that direct spending on the Internet of Things (IoT) will exceed $400 Billion by 2023. From manufacturing and utilities, to oil & gas and transportation, IoT improves visibility, reduces downtime, and creates opportunities for entirely new business models.

But successful IoT implementations require far more than simply connecting sensors to a network. The data generated by these devices must be collected, aggregated, cleaned, processed, interpreted, understood, and used. Data-driven decisions and actions must be taken, without which an IoT implementation is bound to fail.

During this talk, we will share:

- The most promising markets and use cases for IoT for 2019 and beyond
- Specific examples of companies putting IoT to work and gaining competitive advantage
- The importance of understanding, managing, and integrating data, as IoT deployments move from pilot to production
- Key Trends and Predictions for the year and beyond

Presentation Video


Paul Miller
Senior Analyst
Forrester Research
Paul serves the CIO role, focusing on the industrial internet of things (IoT) and cloud computing. His research explores how new technologies challenge established organizations and their business models. Cloud computing may not always save its adopters money, but cloud-based approaches consistently provide the flexibility and agility required to win, serve, and retain business in the age of the customer. Paul also looks at the way IoT is creating opportunities in sectors from healthcare and utilities to manufacturing and retail. At the simplest level, connected devices are used to track the use of expensive physical assets. But the opportunities are far larger than that, altering the ways in which machines are built, sold, used, and maintained, and transforming the relationship between makers, operators, and customers in ways that we are only just beginning to understand. Previous Work Experience Paul joined Forrester in 2015, having spent the previous six years as an independent analyst and founder of The Cloud of Data. His areas of focus included cloud computing and big data, with a particular emphasis on exploring the implications of integrating new approaches into existing business models and workflows. Paul worked with a variety of vendors, customer organizations, and public bodies. He was also a long-serving and active contributor to Gigaom Research's Analyst Network. Prior to that, Paul was a member of the senior management team at a UK software company. He has also filled roles related to shaping public policy around the use of information technology, particularly in the culture and education sectors, culminating in a period as the first director of the UK's Common Information Environment. This initiative was supported by organizations including the National Health Service, Jisc, the British Library, BBC, and others. Education Paul earned a Ph.D in archaeology from the University of York, in the UK.
Dinesh Chandrasekhar
Dinesh Chandrasekhar is a technology evangelist, a thought leader and a seasoned product marketer with over 24+ years of industry experience. He has an impressive track record of taking new integration/mobile/IoT/Big Data products to market with a clear GTM strategy of pre-and-post launch activities. He has extensive experience working on enterprise software as well as SaaS products delivering sophisticated solutions for customers with complex architectures. His areas of expertise include IoT, Application/Data integration, BPM, Analytics, B2B, API management, Microservices and Mobility. He can articulate detailed use cases across multiple industry verticals like retail, manufacturing, utilities and healthcare. He is a prolific speaker, blogger and a weekend coder. He currently works at Cloudera, managing their Data-in-Motion product line. He is fascinated about new technology trends including blockchain and deep learning.