Data engineering is the backbone of AI systems. After all, the success of AI models heavily depends on the volume, structure, and quality of the data that they rely upon to produce results. With ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

As organizations continue their digital transformation, the demand for timely, consumption-ready data has never been higher. Yet simply adopting data operations tools is not enough to improve data ...

Lokesh is the Co-founder and CEO of Sigmoid, a leading data solutions company. He is a visionary and thought-leader in the industry. Data-driven abilities are at the core of an organization’s digital ...

Building and deploying strong, robust artificial intelligence (AI) and machine learning (ML) models is complex and challenging work. If you are like many data science and machine learning leaders that ...

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CloudQuery CEO and co-founder Yevgeny Pats helped launch the startup because he needed a tool to give him visibility into his cloud infrastructure resources, and he couldn’t find one on the open ...

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...