The increasing role of AI across the enterprise

We have seen AI being built not only into large applications but also into hundreds of tools and utilities for everyday use. AI has reached the point of driving mainstream, significant, and varied enterprise applications and we are seeing many industries implementing AI. But for most enterprises, true innovation comes not from experimentation or pilots but from industrialising AI at scale.
Moving from one-off pilots to enterprise-wide adoption carries its own risks and challenges and many organisations lack clarity, the right infrastructure, processes, and skills in place to introduce actionable AI solutions

ai: NOW is introducing a series of events to share these challenges and bring together a community of AI leaders to drive adoption and implementation of AI in the enterprise TODAY. This is not the future of AI. This is ai: NOW.

Discussion Points

• What are and have been the challenges faced by businesses in harnessing the full potential of AI?
• What are the unique challenges of implementing AI within industries, such as logistics, healthcare, finance, manufacturing, etc and what are the transferrable learnings?
• What infrastructure considerations are crucial for ensuring the scalability of AI systems in large enterprises?
• How to achieve transparency and interpretability in AI models?
• What are the risks, governance, and legislative complexities?
• Which provider is best to select – open platforms or renowned suppliers (MS, Google, etc)?
• What strategies are effective in ensuring that computational resources scale alongside the increasing demands of AI models?