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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. The future of AI in project management will depend on how we implement, use, and govern it! Euguene earned an M.S.

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Digital Transformation & Artificial Intelligence: Is your Organization ready?

Digite

However, it is our belief that Artificial Intelligence (AI) and Machine Learning (ML) will be the key technologies that will propel organizations through the Digital Transformation. AI is changing the world and the lives of people and is becoming the engine of growth of economies and organizations.

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Driving Digital Transformation in Aerospace & Defense: Recent Technology Trends

Epicflow Blog

According to the Aerospace Industries Association’s Vision for 2050 , some of the key technology and innovation trends transforming the aerospace and defense industry will be: – the rise of automation and artificial intelligence, – wide application of augmented and virtual reality, – the rise of Industry 4.0 (e.g.,

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2024 Events for Project Managers, Business Leaders, and Industry Professionals

Epicflow Blog

Women in Project Management March, 7, Dublin, Ireland During this annual event, women engaged in project management will have an opportunity to network with their peers, sophisticate their skills, exchange their ideas, share experiences as well as learn from innovators, decision-makers, developers, and more.

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Can IBM’s Watson Improve your Organization’s Lessons Learned Process?

The IIL Blog

Like many other companies, Woodside was facing a “brain drain” caused by the retirement of their most knowledgeable engineers. The issue facing the company was how to retain the knowledge of senior experts and make it available to junior engineers and other employees to locate, analyze, and learn from that knowledge. I think so.

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How To Start A Career In Data Science In The USA?

Productivity Land

The US data science market is being driven primarily by the increasing demand for advanced analytics and artificial intelligence (AI) solutions, as well as the increasing availability of data. Popular languages used in data science are Python, R, SQL, and Java. This shows a compound annual growth rate (CAGR) of 14.7%.

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

Teamweek

The real difference is that a data scientist is usually more experienced and works with more complex data processes. 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.