As AI technologies continue to advance, the future of workforce planning will become more sophisticated and predictive. Some key trends we can expect include: Hyper-Personalisation of Employee Development: AI will enable organisations to tailor employee development programs based on indi...
Today’s organizations have matured their understanding of AI and how it could advance their goals against the tricky tides of everything from changing customers to employee behaviors. The focus has shifted rapidly from a narrow one on chatbots and cost saving to a wider business objective of pr...
As AI continues to advance at an unprecedented rate, there is a growing anticipation about how it will affect our lives in the future. In this document, we will explore the potential impacts of AI on different areas of our lives and the challenges that may arise. AI in Healthcare: One ...
will change the future of marketing Thomas Davenport1 & Abhijit Guha2 & Dhruv Grewal3 & Timna Bressgott4 Published online: 10 October 2019 # The Author(s) 2019 Abstract In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors...
“Future advances in AI will need advanced computing power (currently it takes around 83,000 processors operating for 40 minutes to run the equivalent of one second of computations performed by just one percent of the human brain), so advances in quantum computing, distributed comput...
How has artificial intelligence (AI) changed and shaped our world over the last five years? How will AI continue to impact our lives in the coming years? Those are the questions addressed in my report. When it comes to the current state of AI, I must say some of the biggest changes ...
Harari is recently making quite a splash in China with the launch of the Chinese version of his equally compelling new book Homo Deus: A Brief History of Tomorrow, in which he turns his focus on humanity's future and the quest to upgrade humans, as science, especially AI, advance rapidly...
In this second blog in our ‘Future of AI/ML in DevSecOps’ series, find out the impact of AI Assisted code suggestions on the software development lifecycle.
In the “near future,” she said, machine learning will develop so that AI can take a “much more comprehensive look at patient health.” In addition to a patient’s X-ray, for example, AI would be able to process other data, including doctor’s notes, lab samples, medications ...
For example, AI can help someone like Jen, a customer success specialist. Jen is great at her job and receives high praise from her manager and coworkers, but she struggles to look ahead and set actionable goals that help the business and advance her career. Now, before submitting goals a...