By 2025, it is expected that IoT devices will generate roughly 73.1 Zettabtyes of data. Around that time, 30% of all data will be real-time, with IoT accounting for nearly 95% of it, 20% of all data will be critical and 10% of all data will be hypercritical.

The real-time nature of IoT data presents an opportunity, challenges and threats to organisations. Analytics will have to happen in real time for companies to benefit from these types of data.

In this PodChats for FutureIoT, we are joined by Niraj Naidu, APJ Head of Field Engineering, DataStax, to talk about the challenges and opportunities that IoT analytics present. 

1.                 What is IoT analytics?

a.       How prevalent is the use of IoT analytics in Asia?

2.                 We know that IoT produces a lot of data. What are the real challenges why enterprises struggle to better utilise/monetise the data produced by IoT?

3.                 Can you name a high value/promising use cases of IoT analytics?

4.                 What would the data infrastructure for IoT look like?

5.                 Do you see IoT streaming data as further complicating (or facilitating) IoT analytics adoption?

6.                 Where does DataStax sit in the adoption of IoT analytics.