Milind Wagle, CIO, Equinix

Chief Information Officer Milind Wagle leads Equinix’s IT strategy and world-class IT organization, delivering and enabling the highest levels of productivity for employees, customers and partners around the globe. He focuses on empowering the organization through digital transformation and the creation of technology solutions that advance company growth and improve employee and customer experience. Milind is responsible for all IT infrastructure and operations, enterprise architecture, information security, data engineering and analytics, as well as enterprise and customer applications for the company.


Today’s CIOs—from all types of companies—are on an accelerated digital transformation journey. They realize their ability to dynamically deploy and consume the right digital infrastructure, securely and sustainably, will be the primary basis of competitive advantage in the future. According to IDC, by 2023, digital infrastructure will be the underlying platform for all IT and business automation initiatives anywhere and everywhere. Such a platform needs to enable the frictionless exchange of data and operations across ecosystems from edge to core.

As we collaborate with our more than 10,000 enterprise customers and partners around the globe to drive their digital infrastructure strategies, we see trends unfolding that will render the bespoke nature of deploying and consuming IT extinct within just a few years. Driven by the requirement for agile, automated, as a Service digital infrastructure that’s software-defined and self-operating, DevOps engineers will be taking the lead in delivering new on-demand IT services and applications.

Hybrid multicloud will become the predominant architecture in application modernization and infrastructure service delivery, giving rise to new complexity challenges that require more programmable infrastructure, transparent asset management and cost predictability. In the next five years, artificial intelligence and machine learning (AI/ML) will increase in sophistication as enterprises demand infrastructure and applications that are operationally self-resilient. This shift will reduce the reliance on human involvement and leverage greater machine processing power that enables environments to autonomously anticipate and dynamically adapt to changing resource demands.

In this new world, security will no longer be an afterthought, as enterprises will assume that digital infrastructure services are secure by design and configurable through software. Sustainability is now an expectation for every business. It will be a core, non-negotiable measure of business success as companies and their supply chain partners universally commit to a net-zero carbon footprint for every facility, product and service development. 

Given this dynamic digital transformation landscape, our 2022 predictions dig deeper into the prevailing drivers that will accelerate and power digital infrastructure deployment and consumption over the next decade. Read on to hear from some of our leaders in regards to what businesses should consider as they set their organizations up to compete in an increasingly digital future.

Prediction #1: Overcoming hybrid multicloud complexity will dictate digital-first success

By 2023, 40% of the Forbes Global 2000 will reset their cloud selection processes to focus on business outcomes rather than IT requirements. One of the biggest challenges for IT in this transition will be supporting the organization’s business strategy via hybrid multicloud, while managing increased complexity. Over the next decade, hybrid multicloud will play a prominent role in determining how organizations advance their digital-first strategies and consume IT Infrastructure as a Service. Digital leaders who overcome cloud, data and ecosystem complexity through automation, AI/ML, APIs and edge services will gain a significant competitive edge. 

  • Cloud automation will accelerate digital infrastructure consumption

Hybrid multicloud complexity is increasing as the lines blur between private and public cloud and on-premises workloads. Cloud automation that leverages AI/ML-enabled cloud services will significantly reduce the management overhead and costs of public cloud infrastructure and operations. Cloud automation will also improve critical functions such as DevOps for application modernization and security for risk detection across hybrid multicloud architectures—accelerating labor-intensive functions for greater optimization. 

Implications: Cloud automation will simplify creating and configuring cloud computing assets and streamline complex billing and ordering systems across multiple cloud platforms. More importantly, reaction-driven automation systems will be able to detect when it’s time to allocate and deallocate dynamic resources as demand increases or decreases, eliminating the legacy processes that make this a more complex and time-consuming operation. Ultimately, emerging platforms and tools in cloud automation will significantly advance digital infrastructure development, management, consumption and security, as everything will be software-defined.

  • Connected cloud ecosystems will ramp up infrastructure agility

Going forward, hybrid multicloud will become a team sport. Working with an interconnected ecosystem of diverse cloud service providers will help unlock advanced use cases and new sources of business value. To keep hybrid multicloud environments functioning as a coherent whole rather than a series of disjointed pieces, enterprises will need to democratize cloud access and leverage AI/ML to move workloads between clouds dynamically. Cloud-native companies will also be switching sides as they come out of the cloud into on-premises infrastructure for greater performance and scalability, giving enterprises more hybrid cloud choice. 

Implications: To hit the sweet spot of capitalizing on hybrid multicloud value while mitigating complexity and cost, enterprises will use ecosystem partnerships in new and innovative ways, driving greater cloud repatriation. The need to move workloads out of the cloud to on-premises infrastructure will drive enterprises to leverage Bare Metal as a Service and Edge as a Service offerings in a cloud-adjacent architecture to improve infrastructure agility, reduce data egress costs, and increase data protection and privacy. In a vendor-neutral ecosystem, enterprises can use public clouds as an extension of their private infrastructure and vice versa, creating the infrastructure agility to maximize the value of both. Open source tools such as Kubernetes, containers and microservices will continue to play a critical role in these workload migrations, while APIs will help enterprises templatize and automate the deployment of migration circuits. 

Prediction #2: AI/ML at the edge will power 5G and IoT 

Data at the edge is exploding as 5G and IoT technologies flourish, driving a global edge computing market that’s projected to reach $43.4 billion by 2027. Information from autonomous vehicles, drones, surveillance cameras and medical IoT devices will require real-time AI/ML model inferencing at the edge. Over the next decade, AI/ML will become pervasive in every aspect of human life: AI-powered robots will provide services from growing and transporting food, to delivering groceries, to cooking. Advances will be made in the arena of legal/public policies to better address the ethics of AI/ML with respect to fairness, explainability and privacy protection. 

  • Data control and governance needs will give rise to AI marketplaces

Organizations will increasingly need to leverage external data (i.e., from public clouds, data brokers, IoT devices) to build more accurate AI/ML models. However, data providers have been hesitant to share raw data that might get used for unauthorized purposes by the consumers. Similarly, data consumers are concerned about the lineage of the data and models (in transfer learning scenarios) that they are getting from external sources for security, bias and quality reasons. 

Implications: Enterprises will leverage AI marketplaces to trade data and algorithms between multiple parties in a safe and privacy-preserving manner in order to maintain the chain of custody. AI marketplaces will be blockchain-enabled to help consumers keep track of the lineage of data and AI models. They will also provide secure enclaves at neutral locations, where raw data never leaves the enclave, helping providers to keep control over their data. 

  • Federated and wafer-scale AI will enable next-generation AI scalability 

As data generated at the edge multiplies, it becomes less cost-effective and performant to move it to a centralized location for processing. It’s also critical that data remains within an organization’s/country’s security perimeter for privacy and compliance. Over the next five years, data gravity, latency and privacy will shift AI architectures from a centralized model to a distributed one, making distributed AI orchestrators and control planes the norm.

Increasingly, AI is being used to solve more complex problems that are using datasets that are 1000x larger than those from two years ago and require about 1000x more powerful computing power.

Implications: We are entering the era of federated AI/ML, where model training happens in a decentralized system of distributed computational devices at the edge, with organizations shipping algorithms to the edge instead of sending raw data to a centralized location. Models are trained at the edge and only model weights are then sent to an aggregation location to build a global AI model , thereby reducing cost and latency and preserving data privacy. 

Over the next five years, more powerful AI model training hardware solutions will emerge that are much denser—hundreds of thousands of cores on a wafer to handle the training needs of these complex AI problems. This next-generation AI training hardware will consume 40KW+ of power per rack, which will require liquid cooling. Furthermore, problem-specific ASIC/FPGA-based solutions will emerge for AI inferencing that will be more power efficient and provide better AI inference throughput. 

Prediction #3: New trust models will top the cybersecurity agenda 

Cyberattacks are increasing sharply as the global pandemic continues, leading to a predicted cost of more than $6 trillion globally in 2021 and $10.5 trillion annually by 2025. Despite the risks, companies will continue to embrace cloud services and extend traditional network boundaries to employees and partners that are essential to building digital advantage. As companies pursue their digital business models, cybercriminals continue to outpace the industry with their sophisticated attacks. Technology leaders must help their companies navigate today’s threats and balance the risks as they anticipate and stay ahead of what’s next. 

  • Converged security and zero trust will increase the difficulty and cost to attackers 

Many organizations still manage security from within siloed functions and do not share the same principles and architecture necessary to help drive greater visibility and control. Breaking down silos and establishing converged cybersecurity environments will be a top priority for Chief Information Security Officers (CISOs) as organizations extend their digital footprint. With cloud and edge deployments, increased operational technology footprints, as well as a distributed workforce, CISOs will prioritize viewing their business as attackers do, a converged physical and digital threatscape. 

Implications: Security will become everyone’s job; however, CISOs will lead the charge, deploying zero-trust environments that integrate IT, OT and all digital visibility and control. Expect to see businesses and cloud providers strengthen forces to design shared responsibility frameworks and implement solutions that deliver continuous compliance, trust and transparency. Given that every company is now a software company, applying DevSecOps models and secure software development life cycles (SSDLC) will ensure automated security throughout the development process. 

Governments will take a more active role in cyberattack offensive measures

Governments increasingly recognize cyberattacks and ransomware demands as national threats. Given rising attacks on infrastructure and other critical sectors, governments are increasing their involvement to help the industry combat security breaches. While increased government involvement and collaboration with businesses have the potential for good, increased regulation will make it increasingly complex for companies to operate. 

Implications: Governments will impose new regulations on companies—including increased disclosure of attacks and notice of breaches—mandating more information sharing and introducing new certification requirements, like the Cybersecurity Maturity Model Certification (CMMC) in the United States. Given the complexities of evolving government regulations and cybersecurity laws, governments will require companies to include greater security expertise on their Board of Directors similar to what they have for finance expertise. 

Prediction #4: Businesses worldwide will move to net-zero 

Green initiatives are now foundational for success in public and private organizations worldwide. In his 2021 Letter to CEOs, Larry Fink, Chairman and CEO of asset management firm BlackRock, represents investors’ commitment to a sustainable future: “The world is moving to net-zero, and BlackRock believes that our clients are best served by being at the forefront of that transition.” Sustainability is driving innovation in digital infrastructure that extends from business policies and operations to end-to-end supply chains. 

  • Sustainability and technology innovation will merge

From sustainability financing to renewable energy innovations, IT organizations worldwide are rethinking their operational policies, innovating their product designs and optimizing their supply chain partnerships with business, technology and strategies that align with the planet’s climate goals. 

Implications: Industry leaders will be more aggressive about integrating sustainability innovations into data center and digital infrastructure deployments and product/service development and delivery. Companies will prioritize using eco-friendly building and product designs and materials including low-carbon concrete, fossil-free steel, fewer plastics and more recycled content throughout their supply chains. C-level executives will make it a priority to continuously assess the biodiversity implications of business decisions to ensure they are making a positive impact on water conservation and waste reduction.

  • The industry is committed to net-zero; within the decade, data centers will be powered by 100% renewable energy

An IDG survey of 2,000 global IT leaders reported that 90% of respondents identified sustainability as a priority and/or a performance metric for their organization. To ramp down the average data center power unit efficiency (PUE) from 1.59 to near 1, businesses are innovating with liquid cooling, modular power bricks, energy efficiency retrofits, and machine learning models that predict power and space usage patterns. Advances in prime clean and renewable energy sources/stores such as fuel cells and green hydrogen are further accelerating the path to grid positivity, as is recycling data center waste heat for heating residential areas. 

Global market forces are already looking beyond climate neutrality and aiming for true net-zero—no carbon at all—in their operations and across their supply chains. This means, over the next decade, companies, governments and their partners all need to align to achieve science-based targets that will reduce greenhouse gas emissions by approximately 50% by 2030. 

Implications: To participate in the emerging circular energy economy, businesses must proactively forge municipality/community partnerships with energy/utility leaders and deploy more sustainable business models that leverage cloud and colocation partners. Over the next decade, all data centers will be 100% renewable, creating a sea change that gives rise to green supply chains and new economies built around low-carbon materials. To reach net-zero, companies will pursue sustainability-focused operational excellence, innovation and reporting initiatives, which include using green power sources versus buying offsets for renewable energy and returning it to the grid. It also means reorganizing complex supply chains to prioritize vendors, products and services that enable the transition to a low-carbon world.

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