IBM presents: What's next in AI?
AI 2.0 and making REAL impact today
Enterprise use of AI has been undergoing rapid evolution. Harnessing the power of prediction and optimization, industry leaders are demonstrating superior results in customer experience, product development and operational agility. At the same time, the speed of AI innovation is accelerating, from AI engineering to neurosymbolic AI to explainable AI, to name a few. With AI becoming more fluid and adaptable for enterprise use, AI systems can provide different forms of knowledge, unpack causal relationships, and learn new things on its own. To help you stay current with what’s next in AI and how to take advantage of the latest innovations, IBM is excited to present our 5-part data and AI series. We will cover:
Part 2: Expand AI talent: From data scientists to developers to analysts
It takes a village to build, run and manage AI. It takes an even bigger community of teams and ecosystems to engage in AI projects that produce higher returns. Part 2 will explore the topics of skills, tools and collaboration in AI development:
- What skills are required for AI projects to be successful?
- Styles of AI development - Coding and non-coding
- Managing teams, talent and tools for increased agility
- Getting started from beginners to experts
To be announced