Hanna Hennig, Michael Ameling & Tobias Regenfuss and Mike Butcher
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.
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