The Ultimate 2022 Data Center Predictions List
SOURCE:Data Center Knowledge

            
            


2022 is almost upon us, and in the land of trade publications, this means one thing – predictions for the year ahead.


As part of this annual ritual, tens of thousands of executives and spokespeople are rushing to outline a vision of the future that invariably benefits their business. Strangely, no one ever predicts a global pandemic, or a giant boat blocking the world’s busiest shipping lane.


Here at Asiacom, we believe in respecting traditions.


So we have collected and curated 5 unique predictions about the trends that are set to impact the data center and IT industries in the next 12 months, and even arranged them in alphabetical order by organization.


Why not binge-read through everything that the hardware and software vendors, service providers, and consultancies expect to happen?


So pull up a chair, grab a beverage, and enjoy a seasonally optimistic look at what 2022 has in store.


Happy holidays.

 


1. Cisco, Liz Centoni, Chief Strategy Officer and GM of Applications:


Data deluge, data gravity, and the need for predictive insights will propel the Edge towards whole new application development and experience paradigms


“Modern enterprises are defined by the business applications they create, connect to and use. The pandemic has shown that enterprise companies can sustain and grow their businesses, embracing direct connections via application-service to application-service or endpoint to endpoint. In effect, applications, whether they are servicing end-user customers or are business-to-business focused or even machine-to-machine connections, will become the boundary of the enterprise.


“The business interactions that happen across all of these different types of applications will create an ever-expanding deluge of data. Every aspect of every interaction with and across enterprise apps will generate additional data to provide predictive insights. With predictive insights, the data will likely gravitate to a central data store for some use cases. However, other use cases will require pre-processing of some data at the Edge, including machine learning and other capabilities.”


Only through the delivery of predictive and seamless Internet access will the metaverse be realized, and access to technology and innovation become ubiquitous 


“There is no doubt that the trend for untethered connectivity and communications will continue. The sheer convenience of using devices wirelessly is obvious to everyone, whether nomadic or mobile.


“This always-on internet connectivity will further help alleviate social and economic disparity through more equitable access to the modern economy, especially in non-metropolitan areas, helping create jobs for everyone. But this also means that if wireless connectivity is lost or interrupted, activities must not come to a grinding halt. The future needs ubiquitous, reliable, always-on internet connectivity at low price points. A future that includes seamless internet services requires the heterogeneity of access – meaning AI-augmented and seamless connectivity between every cellular and WiFi generation and the upcoming LEO satellite constellations and beyond.”


2. CloudSphere, Keith Neilson, technical evangelist: 

Cloud migrations will increase


“Companies already in the cloud will continue to evolve and rationalize their multi-cloud strategies for any number of reasons that may include pricing, availability, license bundling and other factors. Because of this, we will see more cloud-first enterprises moving resources from one cloud to another. So, while such an enterprise may have a steady percentage of its assets in the cloud over time, those assets will be spread across a more diverse third party landscape of multiple cloud providers. The cyber asset management mandate in this scenario will be to facilitate smooth and secure operations over this range of multiple cloud vendors – so the enterprise can reduce risk exposure from having a single cloud vendor, without introducing new risks from misaligned multi-cloud assets.”


Growth of Industry 4.0 will drive more alignment of IT and OT assets


“Digital transformations overall have increased as a response for adapting to COVID-19 business impacts, and this is true for Industry 4.0 transformations as well. Resilience equals agility. And given the goals for this in production and supply chain settings, IT and OT assets are increasingly facing the need to be better coordinated. Cyber asset management therefore must encompass the entire spectrum of OT and IT assets – from IT teams’ hardware, networking and connectivity, to OT-related machine data and machine software. The more complete picture organizations can get across this spectrum of assets, including their characteristics, behaviors and interdependencies, the better orchestration and fewer surprises companies will have.”

 

3. IBM, Mark Cox, Public Cloud Director, IBM UK & Ireland:

Enterprises will strategically migrate workloads as they embrace modernization


“As organizations move further into their hybrid and multicloud journeys, their focus will shift towards determining which workloads go where. Early on in their cloud journeys, organizations often moved simple workloads to the cloud and now they are evaluating migrating more mission-critical, complex workloads as they embrace modernization. In the year ahead, they'll need to take inventory of their IT environments to select which workloads and applications are best suited for the cloud and which should remain on-premises.”


Preparing for data governance: The rise of Industry Clouds

“As organizations grapple with security and compliance, 64% of the same study’s C-Suite respondents agree industry-related regulatory compliance is a significant obstacle. Adhering to compliance and security requirements is especially important for highly regulated industries such as the financial services sector and government agencies for example.


“As these industries strive to meet the demands of today’s digital-first customers and constituents, cloud adoption is evolving towards specialized clouds. Industry-specific platforms will increasingly be adopted to help them balance innovation with stringent compliance protocols. By choosing the right platform – one with built-in controls – they will be able to innovate at the pace of change, ensuring they don’t get left behind while their industry puts new regulations into place or modifies existing ones.”


4. Scality, Paul Speciale, CMO:

On-premises data centers will remain an enterprise priority for the foreseeable future


“Decentralization of IT services, applications and data has been an ongoing trend over the last decade. Applications and data have long been moving from corporate data centers to public clouds. However, the enterprise data center is far from dead. We predict that corporations will maintain their investments in corporate on-premises data center infrastructure even as cloud adoption continues for reasons of control, performance and cost-efficiency. And we expect this to continue for the foreseeable future.


“This will lead to a new level of sophisticated IT management capabilities to optimize multi-data center, multi-cloud application and data management solutions. Data storage and management is a multi-site hybrid-IT problem.


“Most enterprises today have realized that a smart, balanced approach to applications and infrastructure across enterprise (private) data centers and public cloud services leads to the most optimal delivery of services, agility, best time-to-market, and cost efficiencies.”


5. Synthesis AI, Yashar Behzadi, founder and CEO:

Synthetic data will be a requirement to build the Metaverse


“The metaverse cannot be built without the use of synthetic data. To recreate reality as a digital twin, it’s necessary to deeply understand humans, objects, 3D environments, and their interactions with one another. Creating these AI capabilities requires tremendous amounts of high-quality labeled 3D data––data that is impossible for humans to label. 


We are incapable of labeling distance in 3D space, inferring material properties or labeling light sources needed to recreate spaces in high-fidelity. Synthetic data built using a combination of generative AI models and visual effects (VFX) technologies will be a key enabler of the AI models required to power new metaverse applications.”