The trend of dining out continues to captivate Americans. In 2022, restaurant expenditures surpassed grocery shopping by 20%. However, this does not imply a surge in dine-in experiences, with 44% of consumers reportedly ordering takeout up to three times a week. This figure stretches to 57% on a global scale. But what's steering people away from traditional home-cooked meals? You could take on the task of gathering ingredients, employing the right tools, following a recipe, and overseeing the cooking/baking process. Alternatively, you could order a pizza from a local eatery and have it delivered to your doorstep, usually without making a phone call.
It is common practice today for artificial intelligence (AI) to be integrated throughout the components of the datacenter, but what if you could harness the power of AI for your enterprise personal computers (PC)s? Imagine a laptop that could learn how its assigned user actually works and adapt to it to optimize the user desktop experience. Now, that would be something! It also happens to be reality thanks to the world’s first AI-based optimization software for workstations. AI-driving computing is available at the desktop level thanks to Dell’s Precision Optimizer that learns and responds to the way each one of us works.
More than 20 years ago in 1999, Salesforce launched its customer relationship management (CRM) platform at salesforce.com. Little did we know that this would kickstart the realization of Software-as-a-Service. And roughly ten years ago, Infrastructure-as-a-Service came on the scene to become a standard deployment method of servers. It is safe to say that enterprises have come to recognize the great benefits that “as a Service” models offer.
In today’s multi-cloud era, desktop virtualization is at the top of the list of IT priorities for organizations of all sizes. Business leaders wish to deliver virtual desktops and applications that offer the flexibility to respond to rapidly changing demands without the complexities associated with managing on-premises infrastructure.
Within the “CIO’s As-a-Service playbook,” it explains how the previous consumption-oriented model of the public cloud system changed everything. However, the previous consumption-oriented model required IT to buy service and resource capacities themselves, which introduced new risks for CIOs. These limitations were identified when contrasted with the scalability and cost efficiencies of the cloud. IT wants to deliver the public cloud experience their users crave, yet some workloads cannot make that transition and must remain on-premises for many reasons.
Have you ever felt that something was too good to be true? Something that appeared to solve every problem without sacrificing anything in return? You might think there’s a hidden catch somewhere, but when it comes to HPE GreenLake cloud services with HPE Synergy, it really is that good.