In a market where streaming analytics is growing in popularity, it’s critical to optimize data processing so you can reduce costs and ensure data quality and integrity. One approach is to focus on working only with data that has changed instead of all available data. This is where change data capture (CDC) comes in handy. CDC is a technique that enables this optimized approach.

Since childhood, we’ve been taught about the power of coalitions: working together to achieve a shared objective. In nature, we see this repeated frequently – swarms of bees, ant colonies, prides of lions – well, you get the idea. It is no different when it comes to Machine Learning models. Research and practical experience show that groups or ensembles of models do much better than a singular, silver bullet model. Intuitively, this makes sense.

Following the wave of COVID-19-related responses, the hospitality business has taken an unimaginable hit. Whether it’s the widespread fear of being infected, government-enforced shutdown or the implementation of social distancing, businesses in the hospitality industry are witnessing the decimation of their finances. In the space of just a few weeks, food traffic has fallen by 50%.