How good are your internal operations—really?
When evaluating operational processes, human observation goes only so far. New data and analytics technologies can yield insights that are much more objective—and powerful.
The data-driven enterprise of 2025
Rapidly accelerating technology advances, the recognized value of data, and increasing data literacy are changing what it means to be “data driven.”
Insights to impact: Creating and sustaining data-driven commercial growth
How B2B sales pioneers empower their sellers and drive sustained growth with data and analytics.
SaaS, open source, and serverless: A winning combination to build and scale new businesses
Three tech approaches can rapidly accelerate business building for established companies that learn how to use them.
Scaling AI like a tech native: The CEO’s role
Embedding AI across an enterprise to tap its full business value requires shifting from bespoke builds to an industrialized AI factory. MLOps can help, but the CEO must facilitate it.
What matters most? Five priorities for CEOs in the next normal
ver the course of the pandemic, businesses have largely—and often successfully—adapted to new ways of working. They’ve also embraced digitization and reorganized their supply chains.
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Winning with AI is a state of mind
Companies capturing lasting value from artificial intelligence think differently, from the C-suite to the front line. Here’s how to make the shift from opportunistic efforts to a truly AI-enabled organization.
Understanding when to use a database, data lake, or data warehouse
The “data” part of the terms “data lake,” “data warehouse,” and “database” is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a data warehouse, a data lake, or an old-fashioned database? It all depends on how that data is going to be used.