If you’re reading this you probably feel it too: data, analytics and AI aren’t just here — they’re now overly hyped as business-critical. Whether you’re in manufacturing, retail, finance or public services, the question has shifted from “Should we do analytics?” to “How do we do it better than the past without cleansing?”
In that light, I want to walk you through four big frameworks/players and show how they can help you (or your clients) turn “lots of data + big ambition” into “real business outcomes”. We’ll cover:
SAP’s new relational foundation model (from TechEd)
Palantir and its operational-analytics workflow platform
Databricks and its lakehouse/data + AI engine
Snowflake and its cloud data/AI platform
For each I’ll highlight what it is, why it matters, and how you might use it (with concrete use-cases). Let’s dive.
If you’re reading this you probably feel it too: data, analytics and AI aren’t just here — they’re now overly hyped as business-critical. Whether you’re in manufacturing, retail, finance or public services, the question has shifted from “Should we do analytics?” to “How do we do it better than the past without cleansing?”In that light, I want to walk you through four big frameworks/players and show how they can help you (or your clients) turn “lots of data + big ambition” into “real business outcomes”. We’ll cover:SAP’s new relational foundation model (from TechEd)Palantir and its operational-analytics workflow platformDatabricks and its lakehouse/data + AI engineSnowflake and its cloud data/AI platformFor each I’ll highlight what it is, why it matters, and how you might use it (with concrete use-cases). Let’s dive. Read More Technology Blog Posts by Members articles
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