Tech Trends 2022

HPE Tech Prediction 2021

HPE

Tom Black, Senior Vice President and General Manager of HPE Storage

On big lessons from 2021: “As the pandemic continues, one thing that became clear in 2021 is that we need to prepare for a partially virtual world forever. The last year and a half has been challenging for everyone – a period of rapid digital transformation accelerated by a global pandemic. However, I’ve been proud of our teams’ ability to persevere and adapt to a hybrid workplace. Moving into 2022, we’re looking to create more compelling virtual and hybrid experiences to reach our customers and engage our employees.”

Growth sectors in 2022: “Everything is going digital, and it is all about data. The power of data and data analytics will become even more important and ubiquitous to provide customers and partners precious insights. Especially at the edge, where data is being generated faster than it can be acted upon. An intelligent IT infrastructure that can harness and manage data to gain insights is critical for businesses moving into 2022.”

George Hope, Worldwide Head of Partner Sales for HPE

Emerging business models will be hybrid: “In 2022, companies will increasingly embrace new business models, and so will our partners. Customer outcomes will become the main business drivers. Agility and flexibility will be the key differentiators, and partners will become business enablers. Thriving partners will act as trusted advisors to their customers enabling them to get all the benefits of the emerging XaaS model wherever they want and need their apps and data to be. It’s about choice. We are seeing an emerging trend of partners who take advantage of the opportunities presented by XaaS launching their own hybrid cloud offerings. Organizations are looking to trusted local partners to provide cloud offerings with the same advantages of agility and scale offered by hyperscalers. Locally managed clouds offer the familiar, personalised experience customers expect from channel partners, as well as compliance with security, governance and regulatory factors. As partners accelerate their own transformation, they have options, too.

Thanks to technological advances and a new approach, now also HPE Solution Provider Partners who have not developed their own managed services yet can launch hybrid cloud offerings with limited upfront investment, and scale these services according to demand. Leveraging these white-labelled cloud services and our network of service providers across the globe, all partners can offer their own branded cloud solution and retain the customer relationship end-to-end. Our partners can take advantage of collaboration opportunities with other members of our ecosystem to develop complimentary offerings and unlock better outcomes for our shared customers. In the coming years, this decentralized and hybrid approach leveraging ecosystems is likely to be a dominant trend, with data sovereignty, security and compliance as some of the key drivers.”

Dr. Eng Lim Goh, senior vice president and CTO for Artificial Intelligence, at Hewlett Packard Enterprise

“Data that is collected, processed and managed at the edge is expected to grow to more than 50% by 2023, according to Gartner. Edge-driven data helps make decisions faster, leading to better experiences and outcomes. By sharing learnings from one organization to another, various industries can unite and further improve intelligence that can have a tremendous impact for the greater good. However, because most organizations have to meet regulatory and compliance requirements, mandating that data stay at its location, sharing insights externally can raise a challenge.

To address this, we predict that swarm learning technology, a decentralized machine learning framework that enables organizations to use distributed data to build machine learning models, will gain adoption as it allows for only the learnings captured from edge data to be shared rather than the data itself through blockchain technology. Having this capability to learn in an equitable way, while gaining data governance, is critical to industries that handle sensitive data. For example, in hospitals, learnings derived from imaging records, CT and MRI scans, gene expression data, and more, can be shared from one hospital to another to improve diagnostics of diseases and other ailments, while protecting patient information and preventing biases to occur. Taking a swarm learning approach can also deliver great benefits to other industries, such as the banking and financial services sector, where organizations can fight the annual credit card fraud of $35 billion by sharing fraud-related learnings privately.”

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