Smart contract, a term which was originally coined to refer to the automation of legal
contracts in general, has recently seen much interest due to the advent of blockchain …

The demand for analyzing large scale telemetry, machine, and quality data is rapidly
increasing in software industry. Data scientists are becoming popular within software teams …

Recent advances in machine learning have stimulated widespread interest within the
Information Technology sector on integrating AI capabilities into software and services. This …

Today, the prominence of data science within organizations has given rise to teams of data
science workers collaborating on extracting insights from data, as opposed to individual data …

With the rise of big data, there has been an increasing need for practitioners in this space
and an increasing opportunity for researchers to understand their workflows and design new …

The development of AI applications is a multidisciplinary effort, involving multiple roles
collaborating with the AI developers, an umbrella term we use to include data scientists and …

Adding an ability for a system to learn inherently adds uncertainty into the system. Given the
rising popularity of incorporating machine learning into systems, we wondered how the …

In the current scenario, data scientists are expected to make sense of vast stores of big data,
which are becoming increasingly complex and heterogeneous in nature. In the context of …

Artificial intelligence models are becoming an integral part of modern computing systems.
Just like software inevitably has bugs, models have bugs too, leading to poor classification …

Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …