Xebia
JANUARY 19, 2023
The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.
TechCrunch
MAY 18, 2022
. “Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. ” Software developers Malyuk, Maxim Tkachenko, and Nikolay Lyubimov co-founded Heartex in 2019.
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Hu's Place - HitachiVantara
MAY 10, 2019
Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.
Capgemini
JANUARY 17, 2023
Following a volatile year in the market, you can get ahead of your 2023 plans and see where your organization can improve processes, bring on new tools, and set goals that make sense for your team. Here are four resolutions to make your data strategy pay off this year. Reassess your data architecture.
Altexsoft
JULY 23, 2020
The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps lies at the confluence of ML, data engineering, and DevOps. Source: Google Cloud.
O'Reilly Media - Ideas
APRIL 19, 2021
We were also interested in the practice of AI: how developers work, what techniques and tools they use, what their concerns are, and what development practices are in place. That clearly doesn’t reflect reality; China is a leader in AI and probably has more AI developers than any other nation, including the US.
TIBCO - Connected Intelligence
APRIL 22, 2021
The primary driver behind data’s growth is business’ reliance on data as fuel for analytical insight. Some analytic tools query data efficiently. As organizations like yours become more data-dependent, your business users team with IT to address your most critical data-driven business opportunities.
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