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Media Coverage: “IT Careers 2021” in The Enterprisers Project

January 19, 2021

In the news, dotData CEO Dr. Ryohei Fujimaki P.h.D. discusses how the continued adoption of AI and Machine Learning in the enterprise will make AI and MLOps skills top areas for organizations to focus on in 2021 and beyond.

In 2021, more companies will be embracing digital transformation driven by the ongoing impact of the COVID-19 pandemic. IT leaders will focus on cybersecurity and cloud-based applications and move to work from home. In 2020, IT hiring will increase because technology professionals’ unemployment rates are lower than the national average. Data scientists and Python developers are increasingly valuable in the next decade as companies look to refocus on data analytics and software building. Over the next 12 months, nuanced AI and machine learning roles, data experts, and process experts will be indispensable.

LinkedIn’s Top 15 Emerging Jobs in the U.S. include AI specialists with an annual hiring growth rate of 74 percent. AI will play an increasing role in driving decision-making, resilience, and risk mitigation, and enterprises need to scale their implementation efficiently. Business intelligence-focused AI specialists and machine learning developers will be critical as AI/ML become critical in organizations. Python developers, software development managers, back- and front-end developers, and data warehouse developers are in high demand as employers look to compete in the digital age.

Companies are increasingly seeking data scientists and data analysts as they expand into intelligent automation. IT leaders will need to combine their scientific skills in statistics, machine learning, data modeling, and simulations with business acumen to solve complex business problems. It is difficult to find employees who tick all the boxes of data scientists and business problem solvers in a market where data scientists are rare. Read more at The Enterprisers Project

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dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process – feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.