The path to an AI-powered retail data strategy
By: Snowflake x Microsoft View more from Snowflake x Microsoft >>
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The path to an AI-powered retail data strategy
By: Snowflake x Microsoft
Type: eBook
The path to an AI-powered retail future begins with a strong data strategy. This e-book shows how Snowflake's integration with Microsoft Azure helps retailers:
- Unify data architecture to eliminate silos and enhance data value
- Speed up AI and ML workflows with quick data access and scalable processing
- Create reliable data pipelines for structured and unstructured data
- And more
Aligning data and AI strategies enables informed decisions, improving demand forecasting, inventory planning, and supply chains. Read the full e-book now to discover how Snowflake on Microsoft Azure can unlock your data strategy for AI applications.
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Unlock real business benefits with AI-powered retail data strategy
By: Snowflake x Microsoft
Type: White Paper
The advent of AI has lowered the barrier of entry for attackers, adding fuel to the fire that is the rapidly expanding threat landscape. In this white paper, uncover actionable intelligence you can use to stay ahead of today's threats, including insight and observations into adversary activity. Topics covered include:
- The tactics and techniques that adversaries use to exploit gaps in cloud protection
- The exploitation of stolen identity credentials
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Read the full white paper to learn more.
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Three Key Steps To Cost-Efficient, Scalable, Fast, Flexible, And Secure Generative AI
By: AWS Snowflake
Type: ESG Showcase
Generative AI offers significant potential for enterprises, but achieving this can be challenging. This Enterprise Strategy Group Showcase outlines three steps to create cost-efficient, scalable, and secure generative AI solutions:
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Streamline data-to-AI paths with an integrated AI-data stack for better security and less customization.
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Use cloud environments like AWS for low ownership costs and access to AI expertise.
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Implement low-code/no-code solutions to involve a wider range of users.
The Snowflake-AWS partnership is highlighted as an ideal enterprise solution, enabling the use of proprietary data and advanced language models for applications like natural language processing and conversational analytics.
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