
Artificial intelligence (AI) holds incredible promise for today’s enterprises, given its power to unlock valuable insights from mountains of data. Yet most companies (80-85%) are stuck in the AI experimentation stage, with efforts siloed within departments or teams—and lacking any tie to key business objectives. It takes a clearly defined AI strategy, backed by the right business processes and IT infrastructure, to truly maximize AI investments. But what’s the big deal about AI anyway? Hasn’t it been around for years? AI, machine learning (ML), and deep learning (DL) technologies are rapidly converging, due to multiple factors. In addition to recent breakthroughs in AI algorithms, the high-performance computing (HPC) solutions needed to power AI workloads are more accessible and affordable than ever. Meanwhile, there’s more data available to fuel AI and drive actionable responses in real time
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