Cloud and AI Integration: Optimizing AI Strategy for Real Impact

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Presented by

Jo Peterson, Clarify360

About this talk

The technology sector is just as driven by trends as any other, with new innovations providing fresh opportunities for companies to get ahead. In a hyper-competitive environment like today, no decision maker wants to miss the boat and fall behind their rivals. The challenge is figuring out where the true value in these tools lies – and how to maximize the impact of these new advances within existing cloud architectures. In the current technological landscape, it is AI and automation that are becoming the primary motivations for cloud investments. This is driven mainly by what IT leaders see as the transformative power of these dynamic technologies. As we head into Q2 2024, cloud has become the foundational element in organizational AI strategy. Yet there isn’t really a blueprint for how to do it successfully. What are the key considerations IT leaders must address when contemplating or optimizing their AI and automation strategies and initiatives? In today’s session we’ll explore: — Business and cloud specific goals — Data quality and availability — Technology selection — Outages, scalability, security, and contingency plans — Talent and expertise — Ethical and compliance considerations
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The rapid adoption of cloud computing has far-reaching effects across the enterprise in terms of application development, IT architecture and platforms, systems and network operations, security needs, and cross-team dynamics. This monthly discussion covers all the factors organizations needs to consider and explores ways that cloud technologies can help them stay ahead of the competition.