As far back as the 1920s, Service Level Agreements (SLA) were used to guarantee a certain level of service between two parties. Back then, it was the on-time delivery of printed AR reports. Today, SLAs define service standards such as uptime and support responsiveness to ensure reliability. The benefit of having an SLA in place is that it establishes trust at the start of new customer relationships and sets expectations.

When explaining what Data Observability Driven Development (DODD) is and why it should be a best practice in any data ecosystem, using food traceability as an analogy can be helpful. The purpose of food traceability is to be able to know exactly where food products or ingredients came from and what their state is at each moment in the supply chain. It is a standard practice in many countries, and it applies to almost every type of food product.

“Without clean data, or clean enough data, your data science is worthless.” Michael Stonebraker, adjunct professor, MIT AI is one of the fastest-growing and most popular data-driven technologies in use. Nine in ten of Fortune 1000 companies currently have ongoing investments in AI. So you may be wondering: how could there possibly be another AI winter?