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Implications of Artificial Intelligence on Project Management

The IIL Blog

By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. Euguene earned an M.S. degree in Information Systems from the University of Southern California and a B.B.A. He is a retired U.S.

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12 Must-Have Skills for a Data Analyst You Should Test

Teamweek

Some of the most important data analyst skills include data analysis, statistical programming languages, data management, data visualization, good communication skills, machine learning and even Excel skills. Data processing and transformation — making the data more accurate and ready for analysis.

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The Pillar of Steady Operations: Site Reliability Engineer

Wrike

Enter the Site Reliability Engineer (SRE), the unsung hero of the digital age. This comprehensive article will delve into the world of SREs, exploring their role, responsibilities, importance in business operations, the intersection of software engineering and systems administration, and the future trends shaping this crucial field.

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11 Popular Assessments to Test Programming Skills

Teamweek

Knowledge workers use coding skills in a wide range of fields, from software development to data science and machine learning. With a large and active community of users, there is a wide range of online resources, libraries, and frameworks available to developers. 5 Qualities of High-Performing Software Engineers.

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Skills Mismatch | What Is It & How to Bridge the Gap

Teamweek

For instance, an individual having a software engineering degree might not be a great fit for a customer service role. In the last couple of years (and especially over the last year), we’ve seen artificial intelligence and machine learning being adopted more widely across industries.

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Working With Machines: AI in Work Management

Wrike

The age of artificial intelligence (AI) is upon us, changing forever the way companies operate and grow. Machine learning (ML) now helps to predict and minimize delays, reduce time spent on mundane tasks, and optimize the skills and talents of the human workforce.

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9 Resume Screening Tools to Boost Your Hiring

Teamweek

What are the different types of resume screening software? Type Description Pros Cons AI-driven Resume Screening These tools utilize Machine Learning algorithms to assess resumes for job-relevant keywords and phrases. AI-driven hiring systems become more accurate over time as they learn from past hiring decisions.