Remove Architecture Remove Programming Remove System Design
article thumbnail

Overcoming the 6 barriers to IT modernization

CIO

For instance, Capital One successfully transitioned from mainframe systems to a cloud-first strategy by gradually migrating critical applications to Amazon Web Services (AWS). It adopted a microservices architecture to decouple legacy components, allowing for incremental updates without disrupting the entire system.

article thumbnail

5 Key Factors Investors Should Watch In AI This Year

Crunchbase News

Composable AI: Adaptability through modularity AI systems built with modular, interchangeable components known as composable AI are driving a new era of adaptability and efficiency. These architectures allow companies to iterate quickly, customize their solutions and reduce overhead. Illustration: Dom Guzman

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

David Patterson Biography

The Crazy Programmer

He is best known for his operating systems, central processing units, and programming languages. David’s main areas of investigation are as under: Parallel computing Computer architecture Distributed computing Workload Embedded system. 99% of all new chips use RISC architecture since 2018. Final Words.

article thumbnail

Self-documenting Architecture

Strategic Tech

I’ve heard the opinion from many technical leaders that it is reasonable to expect a new hire to take upto 6 months to learn about the code, the domain, and the architecture before they become fully productive. I believe that self-documenting architecture would dramatically reduce one of the big costs in software development.

article thumbnail

Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

article thumbnail

6 enterprise DevOps mistakes to avoid

CIO

Multicloud architectures, applications portfolios that span from mainframes to the cloud, board pressure to accelerate AI and digital outcomes — today’s CIOs face a range of challenges that can impact their DevOps strategies. Allowing teams to choose tools doesn’t mean each team is given free rein to select any tool they want.

DevOps 214
article thumbnail

Join Architects, Planners, Program Managers, Data Scientists at 4th Annual Cloudera Federal Forum in DC 25 Feb

CTOvision

Track sessions will focus on: Enabling Business Results with Big Data — How to enable agency programs that will yield enormous value through big data to deliver actionable information and measureable results. Government is ever more reliant on data to deliver on mission and programs. where he was their CSO. www.intel.com.