Ann: Letter to Shareholders, page-2

Update worth a read. Some key extracts for me:



Our Data Management Metric is up by 31% this month to 1.8 million monitoring points/month.

With the deployment of IoT devices, terabytes of data will be captured daily. However, that in itself won't usher in another industrial revolution. It’s the emphasis on analysing timeseries data and prediction in realtime which provides the opportunity to create substantial value. For the business community, the goal is to harness this data to learn about patterns and trends to support decision making. For example, we’re already seeing our customers use CCP to perform preventive maintenance on critical equipment. CCP aims to provide a selfservice platform, which includes leadingedge analytics tools. This will enable our customers to create sophisticated analytics without requiring programming assistance from data analysts.

Machine learning leverages developments in artificial intelligence (AI) and allows computers to find hidden insights without being explicitly programmed where to look. It supports predictive analysis, pattern matching, regression, anomaly detection. Until now running complex analysis required data scientists, whereas cloudbased machine learning tools are making it easier and cheaper for small to medium businesses to adapt these models, thereby improving efficiency.

At CCP, the product development and support teams are excited that we are on an innovation pathway to make this complex technology affordable and easy to use for millions of small and medium sized businesses.