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The key to operational AI: Modern data architecture

CIO Business Intelligence

People : To implement a successful Operational AI strategy, an organization needs a dedicated ML platform team to manage the tools and processes required to operationalize AI models. To succeed, Operational AI requires a modern data architecture. The team should be structured similarly to traditional IT or data engineering teams.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time.

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IBM: 78% of mainframe shops are piloting, operating AI apps

Network World

“Gen AI-driven application modernization tools are revolutionizing mainframe modernization strategies, accelerating time to value, and closing mainframe skills gaps by enabling developers to modernize or build applications faster and more efficiently,” the study stated.

IBM 469
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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.

Devops 358
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Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery. The "two pizza" team culture. How Amazon thinks about metrics.

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7 tell-tale signs of fake DevOps

CIO Business Intelligence

There’s no doubt that DevOps has helped many IT organizations achieve their goal of delivering applications and services faster and better than traditional software development processes. It’s the CIOs responsibility to ensure that development teams aren’t intentionally or unintentionally straying off the DevOps path.

Devops 363
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Ready to transform how your IT organization drives business outcomes with AIOps?

CIO Business Intelligence

Today, IT encompasses site reliability engineering (SRE), platform engineering, DevOps, and automation teams, and the need to manage services across multi-cloud and hybrid-cloud environments in addition to legacy systems. At the same time, the scale of observability data generated from multiple tools exceeds human capacity to manage.

Devops 264