What's Next for Google Cloud? Showing enterprises its superiority as a cloud platform
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Kurt casts an eye over the Google Cloud Next event that's run across this week. Here are his perspectives.

Kurt casts an eye over the Google Cloud Next event that's run across this week. Here are his perspectives.
2022 could be a good year for Ceridian’s Dayforce customers. The company made four big announcements that address several big customer problems. Here are the details.
When it comes to transformation stories, give me something ambitious. That's exactly what I got from CDW's presentation at Now at Work 2021. It's about changing your business to deliver what your customers want - and embracing a platform to drive those changes.
Beauty brand Rodan + Fields worked with Confluent and Google Cloud to tackle data latency with an event-based architecture. Here's its story and lessons learned.
What’s changed for Vodafone in the two years since the British multinational telecommunications company adopted Facebook’s business collaboration platform?
There are a series of important principles that should underpin a ServiceNow roll out, as BD's Trisha Johnson explains.
Collaboration is key to building more resilient workplaces and workforces, says Salesforce's Jose-Luiz Moura.
Enterprise architecture, and enterprise architects, need to modernize and become service-oriented
The US Catholic health system aggressively rolled out Google Workspace during the height of the pandemic, so that its important work gets done more efficiently.
Founded in 2018 to serve the needs of business customers, property entrepreneurs and family businesses, Cynergy Bank is bringing the human touch to digital banking.
Speaking at EVOLVE21, Huntington Bank outlines its quest to create metadata definitions that will be understandable for users across the organization when they query data.
Bed, Bath & Beyond's CTO has a lengthy to-do list as the US retailer pushes ahead with its tech-enabled turnaround transformation program.
Synthetic data is billed as a solution for the limitations of real world data sets. But when we scrutinize what synthetic data can do for today's AI systems, unresolved questions keep popping up.