Over the last 7+ years, I’ve worked with many leaders who were looking to embark on their first AI journey. Most of them did not know how or where to start. Some thought they did. In order for your business to realize the gains possible using AI, you need to make sure you start your journey on the right path. Here are some key things to consider when beginning your journey…
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Artificial Intelligence is an emerging technology, but what happens when things go wrong. Where does the responsibility lay when autonomous systems fail?
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Artificial Intelligence in Manufacturing Market is expected to reach $18.8 billion by 2027, at a CAGR of 41.2% during the forecast period of 2020 to 2027.
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Artificial intelligence is evolving—literally. Researchers have borrowed concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input.
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Project management is evolving to strategizing rather than straight-forward execution. Know your client and their needs before settling on one method for your project. 4 Common Project Management Styles to achieve success.
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AI deals in pandemic, AI startups outpace s the venture capital market in the first quarter of 2020, but the coronavirus pandemic is expected to have a severe impact.
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AI COVID-19 crisis technology, it is not the technology itself, though, that will make the difference but rather the knowledge and creativity of the humans who use it.
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Civilization is a product of intelligence, so amplifying this with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial.
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Every aspect of our lives is influenced by advancements in ML and AI, that is why it is important to assess your ML/ AI maturity. Google Search trends for ‘artificial intelligence’ (AI) and ‘machine learning’ (ML) provide validation for this view.
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If focus moves to strategy you can focus on the future and where business needs to go. AI and disruptive change is here.
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Artificial Intelligence and Disruptive Change. Understanding the changing work environment and Insights into the Productivity Step.
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Summary of nine creative ways how to fail with Artificial Intelligence. Focus on data science and machine learning startups, but the lessons on what to avoid can easily be applied to other industries.
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