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CloudOps & Gen AI: Next-gen Optimization

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The rapid adoption of public cloud platforms and the growing consumption of cloud-based solutions requires companies to have a thorough understanding of how, where and how much of the cloud resources are being used. This is where CloudOps – management of cloud resources – comes in. Given the scale of operating the cloud environment, it isn’t surprising that companies are relying heavily on automation to carry out these functions – Infrastructure as Code, automated provisioning, user management, security management, etc. Automation is set to further accelerate with AI and Gen AI technologies.

In this webinar, the subject matter experts discussed how, on the one hand, CloudOps is getting simplified using AI/Gen AI and on the other, AI/Gen AI would entail some complexities that would need to be addressed at the organization level:

Key highlights of the discussion include:

- Prominent use cases: Cost management and Security & Compliance – most complex use cases; Predictive analytics/Automation, Day 2 Ops, Forecasting & recommendations

- Challenges: Increase in compute, storage, data volumes, asset sprawl; Security & compliance – be cautious about what data you use to train your AI models; Ability to quickly learn new technologies; Training – define good data, inferencing and managing data volumes

- Using AI/Gen AI would require infrastructure upgrade both from the providers and consumers

- FinOps by Design: More than just an add-on feature; FinOps will need to be considered right from the start of the project and having the right governance structure would be extremely crucial

- Focus areas: Skills & capability development, Define clear use cases, Cost vs. benefits balance, Sustainability impact, Responsible AI, Right storage strategies, Budgeting

Featuring:

Indu Malhotra, Vice President - Cloud Infrastructure Services - India, Capgemini
Dhandapani Shanmugam, Principal Engineer - GCP Customer Engineering Org, Google
Subhajit Sarkar, Director - Oracle Cloud APAC, Oracle
Abhishek Sukhwal, Head – Cloud CoE, Mahindra Digital Engine, Mahindra & Mahindra Ltd.
Piyush Saxena, SVP - Cloud Business & Offering Management, HCLTech

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