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IDA Ireland 2022 Predictions: The Year of Practical AI Adoption

vmblog predictions 2022 

Industry executives and experts share their predictions for 2022.  Read them in this 14th annual VMblog.com series exclusive.

2022 Will be the Year of Practical AI Adoption

By Brendan Bonner, Chief Technologist, IDA Ireland

Few technologies garner the hype and attention that's frequently lavished upon artificial intelligence (AI). Technologists prone to hyperbole predict that it will be an unprecedented driver of efficiency, innovation and growth, freeing people up perform more human tasks while leaving the mundane responsibilities to the machines. 

In many cases, these AI evangelists aren't wrong. Few technologies will redefine our daily lives, like the broad implementation of AI. In 2021, AI and its counterpart, machine learning (ML), reached a hype peak as the technology's potential and pitfalls became mainstream. 

In the next year, AI will move beyond the hype to real-world implementation,especially as cloud-native AI becomes more commonplace.  Practical applications will begin to emerge in our daily lives and workflows. Here's how.

#1 Workplace 2.0 

As workflows move to the cloud, everyone has the potential to work anywhere by accessing organizational systems remotely. Practically, this means taking entire workflows and moving these directly to cloud computing.  There they can be divided and virtualized from the home to the office to the cloud with a protected identity. Employers will work to balance proximity with efficacy, harnessing the opportunities of Workplace 2.0 without abandoning the value and necessity of teams in proximity to one another. Similarly, employees will have more freedom to work from anywhere, while workspaces and in-person connection points will continue to define AI implementation. 

In addition, AI will transcend its existing niche use cases, such as finance and chatbot applications, to become more accessible to everyday scenarios. In other words, the cloud will become an 'AI Cloud' rather than a 'data and service cloud.' As a result, the cloud computing environment is going to change as we move away from legacy workflows, making virtualization a critical component of the present and future of work. 

With the overlap of metaverse/Workplace 2.0, users will have a single, unified identity within the whole ecosystem.  It will mean we can now log in using our own identity and access any type of service.  The goal is for this ecosystem to be trustworthy and reliable so we can all join  - it's only when we get critical mass that these systems begin to work.   And with that we come to the thorny issue of security.

#2 Security

With the gathering, transfer, and storage of critical data, cybersecurity will necessarily evolve and improve in the year ahead. 2021 saw an increase in human origin cyber attacks for personal data as everything from phishing scams to ransomware attacks reached record highs.  

In 2022, human-centric cybersecurity will be visible to everyone. AI technologies can play cat and mouse with threat actors, but the next year will direct those efforts towards end-users, equipping them with the ability to identify and deter various scams and cyber threats. 

What's more, AI will more effectively protect people from these threats, optimizing engagement without compromising data or privacy. Moving forward, multiple perimeter protections throughout the technology landscape will be the norm to protect individuals and corporate infrastructure. 

At the same time, increased governance and regulatory frameworks, including the EU's Artificial Intelligence Act, a regulatory standard, will serve as the benchmark for global accountability of AI and ML systems. 

People are already experiencing the pitfalls of today's expansive cybersecurity threats. In 2022, AI will introduce new and better solutions that improve everyone's online experience. 

#3 Edge Computing 

Edge computing is going to take off in the next year. We're going to see more and more architecture moved from a data center closer to where the end user is located, such as a local server.  We have more intelligent systems and chips, doing the AI model abstraction at the edge.  From telecoms to IoT and Industry 4.0, we will also start to take edge computing a bit more seriously.  Practically, we'll see more and more architecture move from the data center to the general public sphere.

Nodes with local intelligence will sit closer and closer to the end-user. Cloud infrastructure will be redesigned to extract value locally rather than overwhelming central services. This has practical use cases in healthcare, communications, and individual protections when data is created, used, and delivered. 

A Closing Thought 

In 2022, the implications of AI will be manifested like never before. People will experience AI in their daily lives, and this will reshape the ways companies conduct business, people interact with digital environments, and society pursues critical outcomes. 

In Ireland, we are embracing these changes with open arms. Recognizing the implications of AI innovation, our tech-oriented workforce is building new opportunities while working to mitigate any ancillary consequences of AI's continued expansion and maturation. It's a reminder that even a global workforce depends on a sense of place to flourish during changing times. 

AI will undoubtedly invoke exciting changes in 2022, something that is most rewarding when we pursue these trends together.

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ABOUT THE AUTHOR

Brendan Bonner, Chief Technologist, IDA Ireland

Brendan Bonner 

Brendan Bonner is the Chief Technologist for IDA Ireland's Technology group. IDA Ireland is the Irish Governmental agency responsible for inbound foreign direct investment (FDI). In this role, he provides advice to companies to help support growth, working closely with senior executives on strategic technology planning and advice for emerging technologies.  Central to his work at IDA, Bonner works with global companies on their strategy in cloud transformation, AI, data-centric innovation, as well as emerging technologies such as Quantum, 5G/6G, DLT and Industry 4.0. Prior to joining IDA, Bonner spent over 20 years in the ICT industry where he held a number of engineering and management roles, including migrating communications to the XaaS ecosystem.

Published Friday, November 12, 2021 7:31 AM by David Marshall
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