Infrastructure-as-a-Service, cyber-resilient infrastructure, among predictions for 2023 | Daily News Byte


Increased investment in infrastructure as a service and cyber-resilient infrastructure are among the best predictions for 2023, according to Hitachi Vantara.

Increased investment in infrastructure as a service.

“Businesses need to make sure they’re spending efficiently and don’t have the access or perhaps even the desire to fulfill every technical capability in-house,” says Hitachi Vantara Australia and New Zealand vice president and director Nathan Knight.

“There will be a steady increase in investment in IaaS models.”

Focus on an intelligent, cyber-resilient infrastructure.

According to Knight, more IT operations will be automated with AI / AIOps.

“Our infrastructure users are talking about the need to make infrastructure invisible,” he says.

“They want to automate it to make it more self-driving and self-healing.” More organizations will fulfill the vision of a self-driving infrastructure through a robust data management program, combining real-time data collection and AI/ML-based analytics.

“Not only that, but especially as improved cyber security is a major focus of Australia’s public and private sectors, IT decision makers will prioritize infrastructure solutions with built-in, predictive cyber resilience capabilities.” Organizations will improve and modernize their ability to quickly recover from an attack.”

Infrastructure takeover with built-in AI-enabled automation.

“This is the future of IT infrastructure,” says Knight.

“Intelligence built into the infrastructure layer and underlying platforms extends to AI-enabled automation. This will be increasingly attractive to organizations looking to optimize performance, cost and security, as well as reduce the need for their IT people to perform tasks that can be intelligently automated.” “, he says.

“Data will continue to shift from centralized analytics to localized analytics, continuing the trend of using data where it resides rather than migrating it elsewhere in your IT ecosystem to perform analytics.” Data integration, preparation, discovery and management are becoming increasingly critical as data comes from many different sources.”

Knight says application and data demands will require an infrastructure that can facilitate data transfer between on-premises and hyperscalers.

“IT and OT will continue to converge and DataOps serves more interconnected applications, devices, algorithms and machine learning models that drive digital experiences.

“Business applications will increasingly require critical operational and managed data transfer between cloud providers, service providers, technology partners.”

“Infrastructure cannot be isolated. Organizations will look to ensure that their infrastructure can see and manage data in an increasingly distributed IT environment,” says Knight.

Unruly data lakes must be dealt with.

“This is a challenge that could keep CIOs and CDOs up at night, and the relief will be found in meta tagging with AI,” says Knight.

“The reality is that 87% of data science projects never make it to production and most data lakes have become unmanaged and unmanaged. We’ve seen that AI-enabled meta tagging is a quick solution to sorting data. Based on what we’ve seen with our customers, by using AI techniques to dynamically tag significant amounts of complex data, companies can accelerate their ability to gain insights by as much as 300%.”

Classifying the data being stored and then doing more with it than simply storing it.

“We’re going to see an increase in data intelligence and the ability to rationalize data. We’re going to see an increase in the understanding that data needs to be stored with metadata that identifies what that data is, so that it can be classified, protected, handled correctly and really put to good use,” says Knight.

“Until recently, data warehousing has focused on storing data and doing it well (good data reduction techniques, etc.).” In the year ahead, Hitachi Vantara is focused on leveraging advanced operational analytics capabilities to increase data optimization. Having the ability to understand the data that is being stored is a significant challenge, but this will be achieved through a combination of analytics and what we have been able to deliver across the data warehousing spectrum.”

Investing in infrastructure that supports faster and more data.

Knight says the focus on doing more with data will increase AI and ML adoption and demand more complex algorithms that work with complex, dispersed datasets. However, there will be no delay in terms of speed expectations.

“To meet the desire for faster insights into complex data sets, organizations must future-proof any new technology they invest in that will include heterogeneous computing technologies to support these advanced analytics capabilities,” he says.

“The convergence of the cloud and the network will force a rethinking of IT architectures, especially at the edge and for mobile environments where IT meets the physical world.” The explosive growth of data at the edge, driven by the adoption of IIoT and 5G, will enable companies to rapidly process and analyze data where it lives and where rapid responses are needed.”

Increased reliance on sovereign clouds.

“Amid increased data sharing, the provision of advanced insights into distributed networks, and improved cybersecurity, the public and private sectors will leverage sovereign clouds for the very benefits they provide in terms of security and regulatory compliance,” says Knight.

“Private 5G networks in industrial environments will begin to deliver on the promise of device connectivity, machine reconfiguration and real-time data analysis.” The increased use of private 5G will enable a host of new connected devices, collecting more data at the edge than ever before, in addition to the wider adoption of IIoT-enabled solutions in 2023.

“Digital solutions and data-driven processes will become essential to achieving corporate sustainability goals, by tracking and visualizing progress in a more automated way,” he says.

“Ambitious sustainability goals will only be met by companies that embed these goals into their offering and that can digitize their processes to address sustainability while balancing the pressure to demonstrate immediate actions and business results.”

“Sustainability is becoming an important requirement not only in terms of solving today’s climate challenges, but also increasingly important for investors, customers and employees who recognize its impact.” [on the bottom line].

“Computer vision will take on a more prominent role as new technology, including low-latency 5G networks, edge computing power and AI tools, make AR and VR more accessible to frontline workers.” This will lead to expanded use of AR and VR at the edge, including expanded use of AR in field services.”

Increased workload choices will allow more freedom and flexibility for IT professionals.

Knight says that with the increased bandwidth, lower latency and mobility of 5G, there will no longer be obvious decisions about where to process workloads.

“IT professionals will have more flexibility to design networks that better fit the changing needs of their organizations,” he says.

“Bandwidth and physical limitations will no longer dictate business decisions as they did in previous years.”


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