Epic’s Move to Azure and the Future of Multi-Cloud Architectures
Epic’s Azure shift raises new challenges—and possibilities—for Snowflake and AWS users, prefiguring a shift toward multi-cloud architectures.
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Explore forward-thinking perspectives from our industry experts.
Building Trust in AI at Academic Medical Centers with Hakkōda and AWS
Learn how academic medical centers can enhance data quality, improve patient outcomes, and lighten administrative burden with AI.
How Capital Group Transformed its Quant Trading Strategy with Automated News Aggregation and Sentiment Analysis
Learn how Hakkoda helped Capital Group build an AI solution to automate news aggregation and enable sentiment analysis at scale.
Hakkōda Announces General Availability of New AI-Driven Services on AWS
Hakkoda announces the general availability of AI-driven solutions on AWS, utilizing modern data platforms and AI to help companies realize the power of their…
The Power of Prompt Caching: How Anthropic’s Claude is Slashing LLM Costs and Latencies
Learn about prompt caching, a new capability that allows developers to reduce the computation cost and latency pitfalls of their LLM models.
Unlocking Epic EHR Data for a Large Healthcare System
Learn how a large healthcare system integrated Epic EHR data with other data sources in a central cloud platform built on Snowflake and AWS.
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State of Data Report 2025
In Hakkoda’s State of Data 2025 report, we surveyed 500 data leaders from large organizations across eight major industries to categorize participants into four unique stages of data maturity, identify key focuses and themes for the years ahead, and pinpoint investment opportunities for businesses at every stage of the data innovation journey.
