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Originally published 29 Nov 2022 | By
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace. We invite submissions with a focus on our favored technology topics areas: big data, data science, machine learning, AI and deep learning.
Artificial intelligence and machine learning have made it possible to process an enormous amount of data in real-time–under ideal conditions. But for many users, when those capabilities are put to the test in commercial environments at scale, and supported by traditional data architectures, the reality doesn’t match expectations.
Read the full article at Inside Big Data.