2020 marks a milestone in technology, where autonomous cars are becoming a reality, virtual assistants predict human needs and everything becomes connected and intelligent across every industry. In the next few years, people will soon see the first fleet of driverless vehicles. But today, many every-day devices, systems and applications are already connected and intelligent— including healthcare applications, industrial machines and financial systems—forming what is now deemed as “the edge.”

Dell Technologies anticipates that data will shape the next decade, and that IT will be simplified despite the data boom.

At the root of all that innovation and advancement are massive amounts of data and compute power, and the capacity across edge, cloud and core data center infrastructure to put data through its paces. And with the amount of data coming in the next 10 years—one can only imagine what the world will look like in 2030, with apps and services that have not even been invented yet.

“2020 marks the beginning of what we at Dell Technologies is calling the Next Data Decade,” said Jeff Clarke, Dell Technologies, Chief Operating Officer. “We are entering this era with new—and rather high—expectations of what technology can make possible for how we live, work and play.”

Amid all the new technologies being introduced, Clarke believes that a handful of breakthroughs and trends will really set the tone for what’s to come over the next 10 years.

It’s time to keep IT simple

There is a lot of data in many forms: big data, meta data, structured and unstructured data.  And it’s everywhere: data living in clouds, in devices at the edge or in core data centers. But organizations are struggling to ensure the right data is moving to the right place at the right time. Data visibility – the ability for IT teams to quickly access and analyze the right data is lacking because there are too many systems and services woven throughout the IT infrastructure. “CIOs will make data visibility a top IT imperative because after all,” Clarke remarked, “data is what makes the flywheel of innovation spin.”

Organizations will accelerate their digital transformation by simplifying and automating their IT infrastructure and consolidating systems and services into holistic solutions that enable more control and clarity. Consistency in architectures, orchestration and service agreements will open new doors for data management, and that ultimately gives data the ability be used as part of AI and Machine Learning to fuel IT automation. All of that enables better, faster business outcomes that the innovation of the next decade will thrive on.

Cloud co-existence sees rolling thunder

The idea that public and private clouds can and will co-exist becomes a clear reality in 2020. Multi-cloud IT strategies supported by hybrid cloud architectures will play a key role in ensuing organizations have better data management and visibility, while also ensuring that their data remains accessible and secure.  In fact, IDC predicted that by 2021, over 90% of enterprises worldwide will rely on a mix of on-premises or dedicated private clouds, several public clouds, and legacy platforms to meet their infrastructure needs.

But private clouds won’t simply exist within the heart of the data center. As 5G and edge deployments continue to rollout, private hybrid clouds will exist at the edge to ensure the real-time visibility and management of data everywhere it lives. That means organizations will expect more of their cloud and service providers to ensure they can support their hybrid cloud demands across all environments.

“We’ll see security and data protection become deeply integrated as part of hybrid cloud environments, notably where containers and Kubernetes continue to gain momentum for app development,” Clarke explained.  “Bolting security measures onto cloud infrastructure will be a non-starter…it’s got to be inherently built into the fiber of the overall data management strategy edge to core to cloud.”

What you get is what you pay

In 2020, flexible consumption and as-a-service options will accelerate as organizations seize the opportunity to transform into software-defined and cloud-enabled IT. As a result – they’ll be able to choose the right economic model for their business to take advantage of end-to-end IT solutions that enable data mobility and visibility, and crunch even the most intensive AI and Machine Learning workloads when needed.

“The Edge” rapidly expands into the enterprise

The “Edge” continues to evolve – with many working hard to define exactly what it is and where it exists. Once limited to the Internet of Things (IoT), it is hard to find any systems, applications, services – people and places – that are not connected. The edge is emerging in many places and it is going to expand with enterprise organizations leading the way, delivering the IT infrastructure to support it.

5G connectivity is creating new use cases and possibilities for healthcare, financial services, education and industrial manufacturing. As a result, SD-WAN and software-defined networking solutions become a core thread of a holistic IT infrastructure solution – ensuring massive data workloads can travel at speed – securely – between edge, core and cloud environments. Open networking solutions will prevail over proprietary as organizations recognize the only way to successfully manage and secure data for the long haul requires the flexibility and agility that only open software defined networking can deliver.

Intelligent devices change the way you work and collaborate

PC innovation continues to push new boundaries every year—screens are more immersive and bigger than ever, yet the form factor becomes smaller and thinner. But more and more, what is running at the heart of that PC is more transformational than ever. Software applications that use AI and machine learning create systems that now know where and when to optimize power and compute based on your usage patterns.

“With biometrics, PCs know it’s you from the moment you gaze at the screen. And now, AI and machine learning applications are smart enough to give your system the ability to dial up the sound and color based on the content you’re watching or the game you’re playing,” said Clarke.

Over the next year, these advancements in AI and machine learning will turn PCs into even smarter and more collaborative companions. Clarke projected, “They will have the ability to optimize power and battery life for our most productive moments – and even become self-sufficient machines that can self-heal and self-advocate for repair – reducing the burden on the user and of course, reducing the number of IT incidents filed. That’s a huge increase in happiness and productivity for both the end users and the IT groups that support them.”

Innovating with integrity, sourcing sustainably

“Sustainable innovation will continue to take center stage, as organizations like ours want to ensure the impact they have in the world doesn’t come with a dangerous one on the planet,” Clarke explained. Greater investments in reuse and recycling for closed-loop innovation will accelerate – hardware becomes smaller and more efficient and built with recycled and reclaimed goods – minimizing eWaste and maximizing already existing materials.

“At Dell Technologies, we met our Legacy of Good 2020 goals ahead of schedule – so we’ve retired them and set new goals for 2030 to recycle an equivalent product for every product a customer buys, lead the circular economy with more than half of all product content being made from recycled or renewable material, and use 100% recycled or renewable material in all packaging.”

Dell Technologies will invest and uniquely innovate to deliver the autonomous future. But the steps Dell’s customers will take in the next year to get the most out of their data will also set forth new breakthroughs in technology, which in turn, will offer new experiences to all walks of life – whether it be a more powerful device, faster medical treatment, more accessible education, less waste and cleaner air.

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