Digital
Transformation
in the Era of Hyperscale AI
Enterprise AI explores the end-to-end process of integrating AI into corporate environments, from identifying high-impact use cases to deploying scalable, secure, and ethical solutions.
This is headlined by Strategic Alignment: Understanding how to align AI initiatives with organizational goals, including identifying business processes ripe for automation, optimization, or innovation through AI-driven insights.
Scalability and Deployment
Designing AI models that scale across large, distributed systems, leveraging cloud platforms, and ensuring seamless integration with existing enterprise software, such as ERP and CRM.
Change Management and Adoption
Addressing cultural and operational barriers to AI adoption, including stakeholder engagement, workforce upskilling, and managing resistance to technological change.
Industry Insights
Our expert articles provide an ongoing series on Enterprise AI best practices.
Read the article series.
GitHub CEO Thomas Dohmke shows how, thanks to AI, the barrier to entry to coding is rapidly disappearing — and creating software is becoming as simple (and joyful) as building LEGO.
By leveraging AI technologies, organizations can enhance the efficiency, accuracy, and effectiveness of their software testing processes.
Kersten posits that generative AI fundamentally changes the software development landscape by reducing the bottleneck traditionally associated with writing code.
Expert Learning
Webinars
Our agenda is delivered by a diverse spectrum of experts, covering the different facets that make up this complex topic.
