🚀 Navigating the AI-Powered B2B Sales Landscape 🚀 We are at a pivotal moment in the AI-driven B2B sales landscape. Laying the groundwork today is crucial for future success. Only 28% of sales executives feel highly confident about their future readiness. The path to being future ready is complex, with challenges in AI integration and the need for stronger human and AI skills. AI can revolutionize sales by automating tasks, increasing productivity, and freeing up time for relationship building. However, having the right technologies and a knowledgeable team isn't enough. Sellers must use AI solutions effectively to impact revenue. By combining proven sales best practices with AI technologies, your team can have higher-quality conversations with buyers and exceed their quotas. We are all navigating this path together, and LinkedIn is here to help. We've partnered with Ipsos and leveraged LinkedIn Insights data to uncover the current state of sales, future trends, and actionable strategies. Read the full report to learn more!

Generative models are driving AI advancements, demanding high bandwidth and low latency networks to handle more data with increasing complexity. Scaling infrastructure and adopting new technologies are essential, but choosing the right tools is key to achieving performance, efficiency, and future adaptability. For example, whilst NVLINK gives GPUs a boost, it’s the optical networks that will truly scale AI across data centers. During this episode we explore:

In an era where data is expanding at an astonishing rate, scaling storage capacity to keep pace with this growth presents a formidable challenge, particularly as the specific needs of data centers can greatly vary. Business leaders and IT professionals must adopt a strategic approach to comprehensively address their data storage needs. This episode covers several critical aspects such as: