To help organizations manage and evolve AI responsibly, KPMG has introduced AI In Control, a framework supported by a set of methods, tools, and assessments to help organizations realize value from AI technologies, while achieving imperative objectives like algorithm integrity, explainability, fairness and agility.
Industry Perspectives
Machine Learning Career Path: Exploring Opportunities in 2022 and Beyond
In this special guest feature, George Tsagas, Owner of eMathZone, discusses how machine learning professionals can work as data scientists, computer engineers, robotics engineers, or managers. But if you want to make a career, the first step in finding opportunities in the field of machine learning is to understand the different types of jobs and skills needed.
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2022 State of Data Engineering: Emerging Challenges with Data Security & Quality
The 2022 Data Engineering Survey, from our friends over at Immuta, examined the changing landscape of data engineering and operations challenges, tools, and opportunities. The modern data engineering technology market is dynamic, driven by the tectonic shift from on-premise databases and BI tools to modern, cloud-based data platforms built on lakehouse architectures.
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