Nvidia's rise to a 2-trillion valuation at the beginning of 2024 underscored the extraordinary computing demands of artificial intelligence systems that power ChatGPT and a host of other cloud services that create videos, music, and computer programs on demand. The power of computing and memory scaling has provided much of the impetus behind the surge in interest in generative AI based on large language models (LLMs). As models get bigger they seem to harness emergent behavior, making them more useful. But, as the growth in parameter counts has easily outstripped Moore's Law, such scaling comes at a high cost. Much of the concern around resource usage has been focused on the enormous arrays of graphics processing units (GPUs) and accelerators in training grids used to train models for weeks at a time.

Tonya Hall and Dr. Eli David, co-founder at Deep Instinct and DeepCube, talk about the battle between cloud and edge and how the solution may be a combination of the two.

Skepticism about how productive employees could be if they worked from home also eroded. An April 2021 study from the Becker Friedman Institute at the University of Chicago examined companies' post-covid remote work plans and found a predicted productivity boost of 5% for the US economy. And a December 2020 survey by PwC found that 34% of employees said they were more productive than before the pandemic, while over half of executives said average employee productivity had improved. Now, an equally widespread disruption is underway in the form of hybrid work: while some organizations are insisting workers return to the office full-time, many are prepping for a new normal where employees spend some days in the office and some days working remotely, with a combination of virtual and in-person meetings and collaboration. A CNBC survey of executives in human resources, finance, and technology found that just under half of companies will use a hybrid work model in the second half of 2021.

The pandemic has shattered antiquated assumptions about work design. Executives urgently need to banish remaining myths about hybrid work models and redesign work around a human-centric model to keep and secure critical digital-era talent and deliver business outcomes.

A recent IDC survey revealed that 62% of IT and business leaders believe their organizations will expand resiliency plans in 2021 and 2022 to support unique requirements of the pandemic. But what does that mean exactly? Traditionally, resiliency has been framed in terms of responding to business disruptions and restoring operations in a timely fashion. However, this definition of resiliency is no longer enough - it's not enough to simply respond or restore. Digital resiliency shifts the focus from responding reactively to adapting and moving forward proactively.