The growing emphasis on digital transformation is
encouraging more organizations to adopt initiatives driven
by the Internet of Things (IoT).
While such initiatives enable enterprises to enhance customer experiences, create
new business channels, or acquire new partner ecosystems, gaining the insights
to realize these benefits can prove to be challenging. Enterprises intend to quickly
gather and analyze data and from the devices powering their business. However, the
sheer volume of data that these devices generate, the variety of data that comes in,
and the velocity in which data is collected creates its own set of challenges in terms
of storage, processing power, and analytics for such enterprises.
The growth of IoT adoption has been exponential across all industries, but
organizations within each industry face a unique set of challenges along this
journey. Enterprises leveraging all the big data generated from IoT devices in their
machine learning models are able to use prescriptive and predictive analytics to
make well-informed decisions.
In this eBook, we will discuss the challenges of implementing data-driven IoT, and
solutions for addressing the challenges across multiple industries.