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TAKE APPLICATION MODERNIZATION AND IT AUTOMATION TO THE NEXT LEVEL WITH
GENERATIVE AI

Business transformation


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July 10, 2023 By AB Vijay Kumar 3 min read

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Many organizations have embraced the hybrid cloud for its flexibility,
scalability and capacity to help accelerate market deployment for goods and
services. Hybrid cloud helps businesses worldwide promote data security and
accessibility for various projects and analysis. However, managing multiple
hybrid clouds can be a complex endeavor, especially considering the evolving
nature of enterprise requirements as well as the sheer number of applications in
enterprise portfolios today.

Our experts believe that a hybrid cloud management platform that prioritizes
generative AI-infused automation could help you advance transformation
successfully. An integrated hybrid cloud can equip organizations with
operational agility to capitalize on emerging technologies and new global
markets, and has already helped some organizations realize cost savings and
efficiencies, improve IT performance and deliver and scale new services more
quickly.


START WITH A PLATFORM-CENTRIC APPROACH

Standardization is crucial for organizations looking to automate and modernize.
In a hybrid cloud environment, standardization addresses inconsistencies, errors
and discrepancies that may emerge from a complex mix of people, technology and
processes working together.

Proper standardization can be challenging to achieve. Your organization should
adopt a platform-centric approach to establish a foundation that promotes
standardized practices, shared resources, open communication and streamlined
processes.

By adopting a cloud platform as a central foundation, organizations can
establish standardized practices for infrastructure provisioning, deployment,
scaling, monitoring and security, while aligning with business goals. This helps
ensure that technology implementation remains focused, and it underscores the
importance of a top-down approach to an organization’s generative AI strategy.
Through alignment with business priorities, engineers can effectively determine
the necessity of generative AI (or assess whether a more straightforward,
rules-based solution would suffice).


FROM COMPLEXITY TO SIMPLICITY

Developing a comprehensive, top-down strategy that aligns development goals with
business goals enables organizations to quickly identify suitable sources and
implement a well-structured and governed generative AI implementation.

An autonomous IT management system is designed to simplify technological
operations, key business processes and design systems. It pulls from possibly
disparate data sources with integrated data, promoting faster and more informed
decision making.

Generative AI technology is a leap ahead and can simplify application
development by helping engineers automate code and document generation. By
drawing from various foundation models, generative AI uses powerful transformers
to generate content from unstructured information. Today, we see our clients are
using or considering using automation capabilities to automate IT operations, IT
asset management and asset utilization.

With generative AI, organizations can automate tasks and enhance customer
service and sales functions, to improve the efficiency of these processes.
Existing sales and service engineers can use language-based generative AI to
augment their skills and find contextual or industrial knowledge to help them
deliver better customer experiences or solve problems faster.

Generative AI offers a host of potential business benefits, including improved
issue classification, code generation for issue resolution, enhanced
auto-healing systems, context-sensitive automation, faster code debugging, best
practice suggestions, better documentation generation, reverse engineering
capabilities, and code refactoring—to name just a few possibilities.

Enhancing observability through autonomous IT operations positions system
engineers to move beyond conventional IT health metrics. Instead, they can focus
on more insightful “golden signals,” which include system latency, network
traffic metrics, network saturation and errors.


SCALABILITY AND SECURITY

When discussing automating IT Operations, organizations should note the
importance of managing your organization’s security operations (SecOps) with
generative AI technology. IBM has found that by integrating generative AI into
SecOps, organizations can efficiently identify and address security anomalies,
as well as detect and mitigate potential threats. The goal is to leverage
AI-driven automation to enhance an organization’s overall security and
compliance posture.

Security and compliance are broad domains that can vary across industries. Our
experts believe generative AI can be useful for identifying anomalies within
data and associating them with various sources of information (such as raw code
and past business failures).

For instance, organizations can use generative AI tools to support audit
compliance activities and documentation according to relevant audit standards.
Once the evaluation is complete, these generative AI tools are designed to flag
inappropriate words or phrases for human agents to assess.


ACHIEVING MODERNIZATION WITH GENERATIVE AI

A robust, AI-driven, automation-first platform for managing hybrid cloud
workloads can help modernize and accelerate the hybrid cloud transformation and
journey for clients. Organizations can leverage tactics like code generation to
automate IT processes and modernize legacy applications for increased
organizational agility.

Utilizing code generators, engineers are positioned to draft prompts that guide
generative AI to create code that the engineers can review, modify and deploy.
This can significantly accelerate the development of applications and services.

For example, generative AI can make it easier for developers and IT operators to
write code with AI-generated recommendations based on natural language inputs.

Learn more about how a generative AI service helps developers
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TAGS

Openshift | IBM Consulting | generative AI | watsonx
AB Vijay Kumar
Global CTO Hybrid Cloud Services, IBM Consulting
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