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Major developments in cloud, AI, deep learning and data analytics expected in 2022

By Shannon Williams
Wed 22 Dec 2021

Hybrid and multi-cloud, AI and deep learning, services, data sharing and new table formats have topped the list for data predictions in 2022, according to Alluxio.

Alluxio founder and CEO Haoyuan Li forecasts major developments in cloud, AI, deep learning and data analytics in 2022. He says more organisations will advance their data revolution strategy running more diverse workloads on a wider variety of platforms across clouds and hybrid clouds. 

"2022 will see even more advances in AI, machine learning and analytic workloads and technologies and services to support them," Li says..

Hybrid Cloud a Reality & Multi-Cloud Strategy a No-Brainer
"We've already seen a hybrid-cloud strategy with multiple data centers and public cloud providers emerge as the standard for large enterprises as the operational toolset continues to evolve and simplify cloud migrations. 

"In 2022, we will see organisations grow their digital footprint by embracing the hybrid and multi-cloud model to enjoy elasticity and agility in the cloud, while maintaining tight control of the data they own. Cloud vendors will keep innovating and competing with differentiated capabilities in network connectivity and physical infrastructure improvements because organisations wouldn't want being locked-in," he says.

Mainstream AI and Deep Learning
As the toolset for AI applications continues to evolve, machine learning and deep learning platforms have entered the mainstream and will attain the same level of maturity as specialised data analytics. 

"Just like we currently see a plethora of fully integrated managed services based on Apache Spark and Presto, in 2022 we will see vertical integrations emerging based on the likes of PyTorch and Tensorflow," Li says. 

"MLOps for pipeline automation and management will become essential, further lowering the barriers and accelerating the adoption of AI and ML."

Services for Everything
Operational complexity was the demise of Hadoop on-premises. Cloud services offer the ease of elasticity of infrastructure provisioning with little operational costs. 

"In 2022, we will see the emergence of managed services not just for cloud environments but also hybrid-cloud and on-premises deployments to eliminate complexity from integrations of myriad components such as data catalog, data governance, computational frameworks, visualisation and notebooks," Li says.

Data Sharing Across the Cloud
With SaaS and managed services in the cloud creating data silos, improved governance and catalog with a data fabric spanning multiple services will come to the rescue in 2022. Sharing data across tenants and multiple service providers efficiently and securely will make data exchange easier than ever before.

Rise of Table Formats for Data Lakes
New stack both in the storage and the compute layer keeps innovating. Data Lakes are rising to prominence and structured data is transitioning to new formats. In 2022, Li says open-source projects like Apache Iceberg or Apache Hudi will replace more traditional Hive warehouses in cloud-native environments, enabling Presto and Spark workloads running more efficiently on a large scale.

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