Digital Data Transformation: Building AI-Powered Organisations
Everyone’s talking about AI. And, although many organisations are piloting its potential, leveraging AI’s immense power in day-to-day operations remains an ongoing challenge. Thus, most of the industry innovations have happened in the absence of an IT strategy that supports and accelerates the end-to-end lifecycle of AI development.
Data centre readiness, data privacy concerns, cost, scalability, and many other factors make selecting the right platform a challenge. AI technologies are expected to drastically alter how enterprises and consumers operate on a day-to-day basis and gain insights. Businesses across nearly every industry are already adopting AI, machine learning (ML), and continual deep learning (DL) to stay competitive, drive growth, and decrease expenses.
- How can companies build a seamless AI pipeline no matter where their data lives—or where it moves to—from the edge to the core to the cloud?
- How can companies be confident that their data is protected and access is compliant?
- What do AI-powered organisations look like?
- How do data-driven industry leaders look to AI for the future of data management and analysis?