Webinar featuring Forrester: Use IoT to Drive Business Outcomes
Designing Internet of Things (IoT)-enabled products and environments is hard. The technology is extremely diverse and complex, the use cases are quite varied, the market conversation about IoT is very confused, security is paramount, the compatibility required with 3rd party products and cloud services is very broad, and deploying IoT breaks business models, reporting lines, and org structures.
How then should companies use IoT to drive business outcomes and customer success?
In this webinar, Forrester and Samsung will discuss the top challenges by faced by IoT product companies, especially on business models. We will present a framework for product development organizations to think about IoT capabilities and business value. Finally, Samsung will discuss how Samsung's ARTIK IoT platform with a focus on openness, interoperability, security, and most recently data monetization enables product OEMs to drive business outcomes and customer success.
Key topics of discussion:
Top IoT challenges faced by device manufacturers, especially on business models
Practical frameworks to understand core capabilities of IoT and business value
Importance of interoperability in driving business value
Frank serves CIOs, plus their teams and tech industry suppliers, by predicting the disruption and business impact of the Internet of Things, connected home, connected car, and the landscape of emerging technologies. Working from Forrester's Cambridge, Massachusetts
headquarters, he investigates emerging trends and technologies — and their adoption by pioneering customers — to predict the impact on businesses, employees, and consumers across the globe.
Frank earned master's degrees from the MIT Sloan School of Management and the MIT Technology and Policy Program. He graduated from Duke University with a B.S. in mechanical engineering and a second major in international relations.
Abhi leads the product management and marketing direction for Samsung’s ARTIK Cloud IoT platform. Abhi has over 17 years of experience working with IoT platforms, big data, predictive analytics, voice recognition, e-commerce and enterprise software. He holds an MBA from the University of California, Berkeley, a master’s degree in computer science from Texas A&M University, and a bachelor’s degree in computer engineering from the University of Mumbai.