Empowering Data Innovation: Accenture Conversational AI at Data Innovation Summit 2024

Accenture Conversational AI

Empowering Data Innovation: Accenture Conversational AI at Data Innovation Summit 2024

Insights from the Stages

The Data Innovation Summit 2024 featured multiple stages with insightful discussions on various data-related topics, highlighting the importance of innovation in the digital era.

Machine Learning & Generative AI Stage

Experts delved into topics such as infrastructure resilience, AI model power, personalization, and generative AI for the enterprise. Discussions included large-scale recommender systems, achieving peak performance in generative AI, text value extraction, news classification using LLMs, and evaluation datasets.

Data Engineering & DataOps Stage

Speakers shared insights on data platform evolution, modern Data Ops, health data integration, data automation, and smart collaborative strategies. Topics covered include large language models in recommendation systems, addressing data problems with contractual agreements, open source tools for DataOps and MLOps, and running large language models on GPUs.

Modern Data Platform Stage

Discussions focused on making data AI-ready, multi-platform data mesh environments, role of AI in data management evolution, impact of generative AI on traditional data architectures, and building a foundation for an AI-powered future. Experts outlined implementation of data mesh, building data products, elevating data strategy, and business-owned data and AI strategy.

Modern Data Strategy Stage

Sessions included talks on Enterprise Data Marketplace, data governance programs, people-centric data strategies, navigating data and AI strategy challenges, data priority in healthcare, data strategy for business value delivery, and building an intelligent data strategy for innovation.

Business & Data Analytics Stage

Topics covered boosting business efficiency, conquering analytics debt with AI, automation and AI journeys, proactive data analysis for business empowerment, scaling up data and analytics community, marketing analytics ROI, and responsible AI for delivering value in analytics programs.

Data Science & AI Strategy Stage

Discussions included AI solutions, transformation in healthcare, automating decision-making, data ethics, and innovation in finance. Experts highlighted the importance of AI in clinical trials, leveraging data for healthcare improvements, digital healthcare solutions, and data-driven finance strategies.

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