One of the biggest obstacles to IoT success is finding an effective way to store, integrate, visualize, and analyze the flood of data your “things” are creating. Soon, experts predict, about 25% of your entire IoT cost will go to solving this problem.
Read “Scaling Data Science for the Industrial Internet of Things” to learn:
- Why predictive analytics is central to the value of IoT
- Three reasons why predictive analytics is so challenging in the IoT environment
- How new tools and techniques are enabling IoT pioneers to make predictive analytics more effective and reliable