Top technology Trends of 2024: Cloud Exit and its impact on GEN AI as Service
Dillip Kumar Dash
Digital transformation expert | Global product development director(EU region) at Wolters Kluwer
This year 2024 is fast approaching the end. Most of you in the technology industry would have already been familiar with a set of trends that have taken the world by storm. Some of those are around:
1.????? Quantum Computing
2.????? Edge computing
3.????? GEN AI
4.????? Augmented reality
5.????? Sustainable technology in ESG domain
However, there is one item which has distinctively got more attention, i.e., Cloud Exit.
Though it existed in some form earlier, Cloud computing got its time under the sun mostly after 2006 when it became commercially available from Amazon AWS. It gained pace over the years later and corporations, businesses considered as magic bullets for all their scaling problems.
There are strengths and weaknesses in all modern solutions which is also true for enterprise cloud computing architecture. Over the period CIOs have found below problems with cloud computing and fueled the trend of #CloudExit:
1.????? Need for customized security catering to specific need of data and Infrastructure.
2.????? Specific compliance needs of handling own / customer data over platform owing to regulatory need.
3.????? Complexity of handling disaster recovery over multiple cloud environments
4.????? Some vendor locking limitations.
This means moving your application away from the public cloud.
This gives rise to the following questions:
1.????? Does Cloudexit mean moving to private cloud or going back to your own data center of physical servers?
2.????? How is that going to solve problems of scaling up in real-time scenarios?
Let us answer the above 2 questions after some time.
The Next Top trend in 2024 is AI as service (AIaS) and GEN AI as Service (GAIaS). Like everything under the sun for SaaS, technology has also come up with AIaS and GAIaS.
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This helps the industry immensely when it comes to:
a.????? Your tailored need of AI agent
b.????? Quick and easy implementation as you do not need to worry about the model, data curation (via data pipeline), training, transformation workflow and accuracy.
c.????? Pay for what you use.
However, an inherent building block of AIaS, GENAIaS is cloud. The moment you democratize the usage of your Agents for public use, you would need rapid and real-time scale-up/ out.
Now let us answer the two questions we asked above:
So, CloudExit does not necessarily mean you are going back to physical server. You may remain in the private cloud where cloud providers may be able to cater to your specific need. Or you may move back to your On-Premise data center.
However, this does not mean you are going back to non-cloud environments. You can still use cloud features using Hybrid cloud (e.g., HPE Greenlake). You must remember you need to take care of:
1.????? Security,
2.????? Compliance needs,
3.????? Disaster Recovery
4.????? Accessibility
5.????? Scalability
of your applications on your own if you move to your own data center.
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Please let me know what do you think and how you are going to strategies your product or solution deployment platform as a CIO?
#CloudExit #GenAIasService #AiaS #GENAIas #ESG #Sustainability
Head of Consulting Services at Orange Business Services
4 个月Insightful
Program Management | Embedded Systems | Cloud | Analytics
4 个月Dillip , Very informative