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.
In this #shifthappens podcast episode, AvePoint Chief Brand Officer Dux Raymond Sy dives into a fascinating conversation with Peter Voss, the CEO and Founder of Aigo.AI. Peter shares his decades-long journey in the field of artificial intelligence, from starting his own software company to ultimately setting his sights on building artificial general intelligence (AGI). He discusses the key differences between narrow AI and AGI, the challenges of commercializing AGI research, and his vision for how real AGI could transform industries and dramatically improve the human condition.
Listen NowIn this episode of the #shifthappens podcast, Richard Harbridge, Chief Technology Officer at 2toLead, Microsoft MVP, and AvePoint Community Champion, joins us in an insightful discussion on how to maximize productivity, quality, and collaboration with AI tools like Microsoft's Copilot. Join us as we dive deep into best practices for AI adoption, including team-based learning models, considerations around security and compliance, and measuring ROI through improved outcomes.
Listen NowMatthew Bookspan, CEO of Orlando-based MSP Blacktip, joins the #shifthappens podcast to discuss enabling digital transformation for organizations, large and small. In this episode, we cover the critical role of MSPs as technology partners—from adapting to trends, managing environments, empowering customers with emerging technologies, following best practices for a secure Microsoft 365 platform, and the game-changing potential of generative AI.
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