The #shifthappens podcast
Join our expert hosts as they talk to industry leaders, explore the latest trends, and share real-life case studies that will transform the way you work.
The Future of Work is Now - Are You Ready?
Are you ready to lead the way in driving change and preparing for the next big disruption? The future of work is already here, and it's time to take action. Tune in to the #shifthappens podcast, where business and IT leaders share their experiences, provide actionable advice, and facilitate collaborative learning and growth.
A Closer Look at GenAI in Portugal
Portugal is experiencing a cultural and digital shift with the bring-your-own-AI trend spanning across generations. According to the 2024 Work Trend Index Annual Report from Microsoft and LinkedIn, 85% of Gen Z employees and 73% of baby boomers are already bringing their AI skills and knowledge to the workplace. Andrés Ortolá, General Manager of Microsoft Portugal, shares his insights on AI's potential to digitally transform traditional industries like education, healthcare, and justice, as well as the importance of responsible AI implementation.
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Embracing AI and Innovation in Vietnam
According to the Microsoft Work Trend Index, 88% of knowledge workers in Vietnam use generative AI, higher than the global average of 75%. Vietnam has long been known for its young, open-minded, and tech-savvy population. Tram Nguyen, General Director of Microsoft Vietnam, shares fascinating insights into how the country is now taking giant leaps in technology adoption, particularly in AI innovation.
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How GenAI is Reshaping Business in Australia and New Zealand
The rapid advancement of artificial intelligence (AI) is transforming the global business landscape, and Australia and New Zealand are no exception. In this episode of the #shifthappens podcast, Chandima Kulathilake, Account Technology Strategist for Microsoft ANZ Public Sector, shared valuable insights on AI adoption trends, challenges, and opportunities in the region. He emphasized that successful AI implementation depends on factors such as digital skilling, maturity, and the availability of quality data sets that people can trust.
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