Enhancing Conversational AI with Accenture Conversational AI at Data Innovation Summit 2024

Accenture Conversational AI

Enhancing Conversational AI with Accenture Conversational AI at Data Innovation Summit 2024

Keynotes & Opening and Closing Stage

The Data Innovation Summit 2024 kicked off with Henrik Göthberg discussing shadow data disruptions and future outlook on data, analytics, and AI. Dr. Jennifer Belissent emphasized responsible AI and data foundation. Accenture's own, Mattias Aspelund and Julia Falk, delved into retrieval-augmented generation (RAG) beyond chatbots, showcasing Accenture's AI initiatives. Additionally, Sara Hajian shared insights on maximizing ROI in AI and ML initiatives.

Machine Learning & Generative AI Stage

At this stage, various experts like Dr. Kjell Carlsson, Jawad Saleemi, Thomas Capelle, Johan Hofmans, Binwei Yang, and others shared insights into Generative AI, transport models, performance optimization, and AI strategies. Rajiv Shah discussed evaluation techniques for LLMs, while Sanchit Juneja explored operational aspects of managing LLMs efficiently.

Data Engineering & DataOps Stage

Albin Blum, Giuseppe Mura, Inna Weiner, Naveen Jose, Paul Zubin Thomas, Max Schultze, and others focused on data integration, governance, data quality, and trustworthy data products. EasyPark, Validio, and Dema.AI showcased their platforms for efficient data management and reliability of data products, emphasizing the impact on operations.

Modern Data Platform Stage

Lennart Hedlund, Emma McGrattan, Jennifer Jackson, Sebastian Herold, Ted Orme, and others discussed data readiness, data product development, data fabric, data marketplace, and building enterprise-scale data ecosystems. Collibra, Spotify, Vattenfall, Merck KGaA, Equinor, and BT Group shared insights on data intelligence platforms, collaborative processes, data strategy, and risk mitigation in data management.

Modern Data Strategy Stage

This stage, moderated by Iiris Lahti, featured Michael Moulsdale, Michael Bendixen, and other speakers focusing on trust, transparency, and informed decision-making in AI initiatives. The discussions aimed to empower organizations to make strategic and ethical choices in their AI-driven solutions.

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