Enabling digital transformation is not a new leaf to turnover, instead every technological innovation – big or small falls under this transformation. But the true transformation should bring resiliency into organization’s core, solving geopolitical, sustainability, talent scarcity, and other challenges while promoting business agility, productivity, and enduring expansion. More than a cloud-native, the underlying potential lies in becoming a cloud-first organization.
However, breaking the hard luck of innovation and transformation edge is difficult if the enterprise cannot leverage AI/ML technologies within cloud environments. Right from cloud migrations and cloud solutions – embedding AI necessitates complete transformation, bringing the next-level competitive edge in the evolving and responsive market.
Able to leverage machine learning capabilities for computing requirements and automating possible scenarios along with cloud elevates your enterprise to operate in a different world, amplifying business outcomes.
So, embedding cloud-first-AI-first strategy compliments the existing business landscape and drives you to enhance core operational structure, augmenting scalability and resilience.
Cloud-first strategy is also an imperative to perform AI workloads at greater speeds where extensive data processing and meeting various computing speeds are taken care of. Though organizations are aware of potentials of AI and cloud, there’s also a need to understand these two terms carefully as they are more aligned towards strategic imperatives than just modernizing your business functions.
Cloud-First-AI-First Approach
In the wake of existing scenario and building the crucial competencies, going cloud with AI is a game-changer as most businesses rely on it for extensive transformation to happen. Placing the cloud and AI at the top of everything and measuring every operational outcome with Cloud and embedded AI is defined as cloud-first-AI-First approach.
And to our surprise, Oracle Cloud – termed as Oracle Cloud Infrastructure (OCI) adoption is comparatively high when compared to other clouds. The way Oracle Cloud embeds AI, not just to support extreme workloads and simplify tasks at hand but its powerful automation configurations reflect how Cloud-AI can revolutionize businesses in near future.
Moreover, cloud-first-AI-first strategies and computing needs have enabled accessibility for everyone on data, tools, processes, and storage to make the jobs easy.
The Difference – Cloud-AI as Top Priority vs “Just as-a-Resource”
Most of the cloud environments deal with handling the resources, including scaling and automating as per the business or application needs; this is enough to gain significant ROI and reducing time-to-market; but the purpose of leveraging Cloud environment with compelling AI capabilities is beyond this perspective. And the myth – “cloud-first refers to everything on cloud with machine learning capabilities embedded” but it’s not; there are a certain set of practices that go without cloud resources as well.
Strategizing cloud and AI to address underlying business challenges and driving operational efficiency, productivity of teams, and develop solutions that function seamlessly all the time is the complete function of cloud-first-AI-first strategy.
Then why should enterprises go for cloud-first strategy?
Compelling Need for Embracing Cloud-First-AI-First Approaches
As I was involved with the best industry experts inside Oracle and outside, I have seen that the most crucial factor for becoming a cloud-first-AI enterprise is cost and value. Here are a few aspects that show the necessity for this approach:
- Less need for AI hardware machines and other components lessens the maintenance costs when compared to on-site maintenance of servers.
- Access to powerful automation tools with a flexibility to design custom LLMs or AI algorithms that leverage cloud resources at no additional costs.
- Automated disaster recovery and backup solutions with the help of LLMs where cloud disruptions are handled with utmost care, safeguarding your data assets and cloud resources.
- Cost-effective cloud solutions with embedded AI drive promising outcomes for your business.
- For high performance computing needs, you can restructure AI algorithms to operate at scale and meet those requirements in less time.
- Optimizations and configurations can be scheduled with AI tools as soon as they are available from a cloud service provider.
- AI bots update the environment status to everyone when integrated via APIs so that everyone is aware of what’s happening inside the cloud.
This proves the exceptionalism of cloud-AI approach! Now, as we know why enterprises need cloud-driven enterprises and include it in their strategies, there’s also the emergence of enhancing cloud-first-AI-first strategies. Here are the key trends which I have come across that drive greater business transformation:
How Cloud-First-AI-First Strategies Accelerate Business Growth?
Automation in databases and cloud
Though cloud adoption is reaching new frontiers, there are large enterprises that still use databases to perform computing. Matching the mission-critical workloads, supporting database systems and operations they perform, and running all these on cloud is made possible. Oracle Exadata database systems are masters of handling every computing requirement where enterprises can perform their operations on cloud as well as run AI/ML workloads with no hindrances.
Automation of activities on both – Oracle Exadata and OCI boosts the operational efficiency while leveraging cloud and AI advantages in parallel.
Scalable RoCE Network
A certain workload within OCI demands RDMA for maximum performance that includes AI, HPC, Exadata, Autonomous databases, and GPU-powered apps. Most of the enterprises choose RoCE for its unparalleled performance and increased adoption. Implementation of RoCE is crucial as it scales the running of applications across clusters having thousands of nodes and deliver consistently with low latencies. All this together delivers greater experience for cloud customers.
Making infrastructure cloud-native
Earlier were scenarios where dev and test workloads were deployed locally, and cloud was used for staging purposes. But as the demands grew in terms of availability, reliability, speed, and cost for the applications for the users, many organizations are using cloud for complete application development lifecycle including disaster recovery.
Going cloud-native with embedded AI not only accelerates development lifecycle but gives the users access to explore extreme AI capabilities, promoting greater user experiences.
Cloud + Tech – The Big Investments
Almost 75% of organizations go big on cloud investments, seeing the massive scalability of business in it. Another greatest and most powerful investment is emerging technologies, and AI has gained traction in the cloud centralized industries. Most of the enterprises are seeing an exponential rise in building use cases with AI inside cloud environments, obtaining maximum ROI.
These two massive investments are not only bolstering the bottom line of business but also bringing incredible business transformation, rocketing the enterprises to new heights.
MultiCloud Adoption
The two main reasons for enterprises opting multiple cloud environments are – avoiding cloud lock-ins and use a specific cloud for the supporting use case (for example, Oracle Exadata for handling applications on-premises and cloud).
As multicloud adoption is on the rise to handle different type of workloads across various business units, implementing AI cases reduces manual intervention by almost 30% to 50% so that one may not need to invest time in looking through all the cloud resources across multi-cloud that are time-consuming.
Sophisticated Security Standards
What if you have contextual and actionable visibility to the uprising threats, an enterprise where security configurations are automated, and where non-experts can detect, resolve, and respond to oncoming cyberthreats at ease without any disruptions?
Embedded AI has brought all these capabilities and ultimate security standards for Oracle Cloud Infrastructure (OCI). AI-assistive features help enterprises to proactively detect and come up with a mitigation plan for IT and non-IT teams. It also assists enterprises in finding misconfigurations, vulnerabilities, and recommending the best practices before the data is exploited.
All these accelerators or key trends spin the wheel for enterprises to stay on the innovation edge while delivering business transformation to their clients. And, embracing cloud-first-AI-first strategies expand the horizons for enterprises to scale massively and automate seamlessly, breaking down the silos everywhere.
INFOLOB’s Cloud-First-AI-First Strategy Roadmap
The continuous evolution of business models’ technological advancements redefines products, services, supply chain dynamics, operations, and customer experiences. As a step to make cloud environment resilient to business operations, INFOLOB recommends the CXOs or CIOs to blend the working models together so that their business portfolio meets the fluctuating needs of the market.
Another exciting improvement is, AIOps – AI in IT operations which reduces application downtime and ensures business continuity. From scaling computing power to storage capacity and decision-making processes, AI swiftly drives organizations towards “expanding the innovation capacity”. The need for investment into AI-powered Oracle cloud infrastructure keeps on rising because of its disaster recovery capabilities where it anticipates anomalies, balances disruptions, and plans for contingencies in the most effective ways possible.
In the last few years, chatbot solutions have grown huge and cloud-first-AI-first approach is the beginning of flexible business scaling where OCI Generative AI fastens knowledge mining while automating most of the core operations.
INFOLOB builds a strategic roadmap for enterprises to handle all these operations as per their needs and with its portfolio of AI services and Embedded AI on Oracle Cloud certified professionals, it’s simple and straightforward because our 14+ years in inception proves how we deliver exceptional outcomes to the global enterprises.
Meet the innovators today to streamline the transformation edge for your enterprise tomorrow!
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