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Google, SDAIA unite for women empowerment through technical training - GCC Business News

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US-based multinational Google is collaborating with Saudi Authority for Data and Artificial Intelligence (SADAI) to unveil a global initiative named'Elevate' which will focus on technology, precisely in Artificial Intelligence (AI), to overcome gender inequality. Elevate strives to make women knowledgeable in tech and science by providing free accessibility and training in the sectors and also reduce the gender gap and empowering more than 25,000 women worldwide in the coming 5 years. On the technical track, 30 percent of the program trainees will be data engineers, cloud architects, Ml engineers, and data scientists. Meanwhile, the rest of the 70 percent of the program trainees will be from the non-technical track Cloud Business Enthusiast. According to Princess Haifa Bint Abdul Aziz Al-Muqrin, Saudi Arabia's permanent representative to the UN Educational, Scientific, and Cultural Organization, "Women are underrepresented in the fields of artificial intelligence and technology". "At the moment, when digital technologies are reshaping everyday life, we cannot deny that women are underrepresented in AI and STEM fields in general.


To Prepare for Automation, Stay Curious and Don't Stop Learning -

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Earlier this year, President Trump signed an executive order for the "American AI Initiative," to guide AI developments and investments in the following areas: research and development, ethical standards, automation, and international outreach. This initiative is indicative of the changing times, and how, as a country, the U.S. is learning to navigate the implications of AI. Leaders in the business world, specifically, are faced with the responsibility of equipping our employees with the skills necessary for paving long-lasting career paths, and the workforce must discover what will be expected as technology continues to disrupt the norm, and work as we know it. As a global business leader, an AI optimist, and a father, I find myself asking: What will make a career sustainable in 2020 and beyond? Will the future of education rise to meet the demands of the future of work?


To Prepare for Automation, Stay Curious and Don't Stop Learning

#artificialintelligence

Earlier this year, President Trump signed an executive order for the "American AI Initiative," to guide AI developments and investments in the following areas: research and development, ethical standards, automation, and international outreach. This initiative is indicative of the changing times, and how, as a country, the U.S. is learning to navigate the implications of AI. Leaders in the business world, specifically, are faced with the responsibility of equipping our employees with the skills necessary for paving long-lasting career paths, and the workforce must discover what will be expected as technology continues to disrupt the norm, and work as we know it. As a global business leader, an AI optimist, and a father, I find myself asking: What will make a career sustainable in 2020 and beyond? Will the future of education rise to meet the demands of the future of work?


The Creative Destruction Lab Program Now Accepting Applications - startGBC

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Intensive full-day sessions with the Fellows and Associates take place every eight weeks with the purpose of assessing progress and setting new short-term objectives. Meetings are attended by the Fellows and Associates, a carefully selected group of exited entrepreneurs, angel investors, and partners from leading venture capital firms who often invest in ventures that demonstrate a track record of achieving their objectives. World-renowned experts from leading academic institutions provide technical feedback to founders and advise the Fellows and Associates on objectives related to technology validation. MBA students work with founders to develop financial models, evaluate potential markets, and fine-tune strategies for scaling. The program is designed for early-stage, science-based technology companies, though we consider all applicants based on their potential to scale and the viability of their product.