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Azure cloud will pass Office to become Microsoft’s biggest business next year, says analyst

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Microsoft’s Azure cloud for hosting web sites and applications will replace the Office productivity software as the company’s largest source of revenue at some point in 2022, Piper Sandler analyst Brent Bracelin predicts.

It would be a striking milestone, underscoring Microsoft’s successful transition from on-premises software to cloud-based services since Satya Nadella took over from Steve Ballmer in 2014. Read More

Common Data Service has been renamed to Microsoft Dataverse

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Common Data Service, the sophisticated and secure backbone that powers Dynamics 365 and Power Platform, has been renamed to Microsoft Dataverse. This low-code data platform is rapidly changing the way organizations around the world build apps and innovate business processes. A fresh name is just one part of a broader effort introduce the power of what Dataverse can do to individuals and organizations around the world. Read More

Introducing Microsoft Cloud for Retail

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If 2020 taught us anything, it was that no business is resilient to everything. But those that had laid their digital tracks early were better positioned to recover, and in some cases, even speed ahead. In fact, one retail expert said that we had “witnessed a 10-year evolutionary leap toward digital” in retailing. Read More

Six digital transformation trends to watch in 2021

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One of the biggest lessons Australia and New Zealand business leaders can take from the past 12 months is that a climate of uncertainty is now the new normal.

The shift in customer behaviour brought about by the COVID-19 pandemic, coupled with rapid information technology changes, has already presented significant challenges. As a result, many organisations have had to bring forward their digital transformation plans and complete projects in weeks or months rather than years. Read More

Three Digital Transformation Predictions To Watch For In 2021

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My end-of-year column back in 2019 outlined how advancements in the use of new technologies — such as robotic process automation (RPA), artificial intelligence (AI) the Internet of Things (IoT) and machine learning (ML) — were likely to create massive data management problems. This largely came true as organizations across the spectrum struggled under the weight of massive volumes of data generated from digital transformation efforts. Read More