AI in Action: Real Use Cases with Real Impact - Hanna Hennig, Michael Ameling, Tobias Regenfuss

What if AI agents could run your entire marketing campaign? Leaders from Siemens, SAP, and Accenture discuss the next evolution of enterprise AI.

#1about 6 minutes

Early enterprise AI adoption and experimentation

Large enterprises initially provided sandboxed environments for employees to experiment with generative AI, leading to hundreds of internal use cases.

#2about 3 minutes

The strategic challenge of being model-agnostic

Using a thin abstraction layer to switch between AI models can prevent leveraging a specific model's full potential and requires careful architecture.

#3about 4 minutes

Developer productivity and the impact on junior roles

Studies show AI boosts productivity most for senior developers through better prompting, while raising concerns about decreased demand for junior talent.

#4about 5 minutes

Applying AI across the entire software development lifecycle

The greatest impact of AI comes from integrating it into the end-to-end software development lifecycle, from requirements gathering to deployment and service.

#5about 5 minutes

The rise of AI agents in business processes

AI agents are evolving from performing single tasks to orchestrating complex end-to-end processes, particularly in areas like customer service.

#6about 2 minutes

Predictions for the future of AI in the enterprise

In the near future, more powerful foundation models will significantly accelerate business operations and product delivery without reducing developer headcount.