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Accenture Conversational AI

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Accenture Conversational AI: Harnessing Semantic Layers for AI-Driven Insights

Interview with Ernesto Ongaro, dbt Labs

In this interview, Ernesto Ongaro, Team Lead and Solutions Architecture at dbt Labs, discusses the strategic advantage of semantic layers in the era of LLMs. Learn how semantic layers can accelerate data-driven decision-making within organizations. Additionally, find out more about Drew Banin, Co-Founder at dbt Labs, who will be presenting on 'Setting the Right Foundation for Innovation' at the upcoming Data Innovation Summit.

Semantic Layers and AI Transformation

Semantic layers play a crucial role in enabling AI-driven transformation by providing a structured framework for interpreting data. With semantic layers, organizations can enhance their AI capabilities and derive meaningful insights from complex datasets. Leveraging semantic layers ensures that AI algorithms and models have a clear understanding of the underlying data context, leading to more accurate predictions and intelligent decision-making.

Strategic Advantage of Semantic Layers

The strategic advantage of semantic layers lies in their ability to standardize data interpretation across different AI applications and systems. By establishing a common semantic layer, organizations can streamline data integration, reduce data silos, and promote interoperability among various AI tools. This unified approach simplifies data management processes, enhances data governance, and facilitates collaboration between data scientists, analysts, and business users.

Impact on Data-Driven Decision-Making

Semantic layers have a significant impact on data-driven decision-making by providing a coherent representation of data elements and relationships. By organizing data into semantic layers, organizations can improve the quality and reliability of their insights, enabling stakeholders to make informed decisions based on accurate and consistent information. This structured approach to data management enhances the transparency, traceability, and trustworthiness of AI-driven insights.

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Untangle Business Processes with Modern Data Strategy & Management - Accenture Conversational AI

Session Overview

In this session, Subhra Ratan Mukherjee from Polestar discusses how the company leverages insights from a simplified Data and Analytics platform to drive its journey towards becoming a major OEM. The focus is on the role of IT and Data Strategy in achieving Polestar's sustainability goals, addressing common business challenges, and implementing effective data management practices.

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Enhancing Data Products with Accenture Conversational AI - Interview with Sebastian Herold, Zalando SE

Sebastian Herold's Role at Zalando SE

Sebastian Herold is a Senior Principal Engineer at Zalando, Europe's largest fashion platform. He drives the evolution of Zalando’s data landscape, ensuring efficiency, scalability, and security. Sebastian collaborates closely with users, product teams, and vendors to democratize data access while maintaining security and compliance.

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