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    Technology predictions for 2022.

    Information Technology and Information Technology leaders are examining the way forward and predicting next steps for hybrid work tools, the cloud, artificial intelligence and more.

    How can what we’ve learned benefit us in 2022, as we start a new year? The importance of rapid flexibility in the face of uncertainty has been demonstrated throughout the past two years. Companies must accelerate their digital transformation initiatives and emphasise certain technology trends to prepare for the unexpected and adapt to whatever 2022 holds.

    “The labour problems we had in 2021 aren’t going away anytime soon, so maintaining your talent is critical to having the finest team possible,” says the CEO “The Noble Foundry’s CEO, Rich Theil, says “You must create an environment that they enjoy working in. You’ll thrive in the new year if you improve your working methods, incorporate more fun, and be much more intentional about your connections.”

    1. In the hybrid work era, hybrid cloud adoption is increasing.

    “As businesses commit to hybrid work environments, leaders must reconsider their goals and evaluate how to balance size, speed, privacy, and security.” Businesses and customers require more flexibility than can be provided by traditional data centre settings or pure public cloud solutions.”

    “As a result, several businesses are exploring large new expenditures in a hybrid cloud solution. Hybrid cloud use will accelerate in 2022, as it provides outstanding agility for growing and supporting remote personnel, allowing businesses to pivot as business demands evolve and change in an unpredictable world.”

    2. Emergence of new hybrid workforce tools

    “Many collaboration platforms introduced significant features in 2021, allowing them to cater to both remote and in-office workers.” I believe that as we progress toward the hybrid workforce of the future, tools will continue to add features in order to make communication and collaboration as seamless and efficient as possible. Collaboration is only one aspect of workforce empowerment. We also need to think about remote worker support.”

    “As a result, we’re seeing a new breed of AI and machine learning-based tools develop.” These tools may detect, alert, and sometimes even heal problems before the remote worker is aware of them. While there has been a tool consolidation,of tools and platforms, I believe the hybrid approach to workforce ennoblement will continue to be the right approach for the foreseeable future.

    4. Kubernetes and AI/ML team together for next-generation apps

    “While we’ve seen a wide range of apps run in containers, we’re starting to see more enterprises migrate their mission-critical, stateful applications to Kubernetes.” Databases, event-driven messaging, and mission-critical applications are likely to migrate to Kubernetes to benefit from its scalability, security, and portability. However, one area that sticks out among all the Kubernetes applications is AI/ML.”

    “The ability to improve and enhance various sorts of applications grows as Data Science becomes a crucial position within practically every firm. AI/ML is influencing practically every part of modern life, from improving consumer interactions to making better data-driven decisions to things like modelling driverless vehicles.  Nearly every element of modern business is being influenced by AI/ML. And Kubernetes provides the ideal foundation for AI/ML, including scalability, GPU access, workload portability, and more. We’ve already seen enterprises use AI/ML on Kubernetes to tremendous effect, and we expect the next generation of applications to totally transform industries.”

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