How does accenture generate value for clients through agile and devops?

Oh no, you're thinking, yet another cookie pop-up. Well, sorry, it's the law. We measure how many people read us, and ensure you see relevant ads, by storing cookies on your device. If you're cool with that, hit “Accept all Cookies”. For more info and to customize your settings, hit “Customize Settings”. Review and manage your consent Here's an overview of our use of cookies, similar technologies and how to manage them. You can also change your choices at any time, by hitting the “Your Consent Options” link on the site's footer. Manage Cookie Preferences • Necessary. Always active Read more These cookies are used to make advertising messages more relevant to you. They perform functions like preventing the same ad from continuously reappearing, ensuring that ads are properly displayed for advertisers, and in some cases selecting advertisements that are based on your interests. • Analytics. Read more These cookies collect information in aggregate form to help us understand how our websites are being used. They allow us to count visits and traffic sources so that we can measure and improve the performance of our sites. If people say no to these cookies, we do not know how many people have visited and we cannot monitor performance. See also our Customize Settings Tech consulting giant Accenture will invest $3 billion over three years to grow its AI workforce to 80,000 people after it axed 19,000 jobs in March this year. Chair and CEO Julie Sweet wrote in a Tuesday Sweet's decl...

Answer by Guest Through quicker time to market, better quality products, and higher customer satisfaction Agile and DevOps are key components of Accenture's value creation for clients. Accenture plc is a Dublin-based, Irish-American professional services firm with a focus on information technology (IT) services and consulting. It was listed on the Fortune Global 500 and recorded $61.6 billion in revenue in 2022. 91 of the Fortune Global 100 and more than 75 percent of the Fortune Global 500 are among Accenture's current clients. When General Electric wanted to install a computer at Appliance Park in Louisville, Kentucky, in the early 1950s, Accenture conducted a feasibility study for the company. This study led to GE installing a UNIVAC I computer and printer, which is thought to be the first commercial use of a computer in the United States. A post was held by Joseph Glickauf, a pioneer in computer consulting. To know more about Accenture click here: #SPJ4

Accenture Agile Transformation Services helps companies achieve greater agility to accelerate business change. We introduce Lean and Agile principles and practices to continuously transform ways of working across the enterprise. Our seamless, end-to-end approach helps organzations provide high-quality software delivery and improve responsiveness to business and customer demands. We have been in the business of co-creating solutions using agile development with our clients for more than 15 years. With the 2017 acquisition of SolutionsIQ, a leading provider of Agile transformation services for business and technology, we now have one of the most talented and experienced teams for agile coaching and delivery in the industry. For the third straight year, the annual Business Agility Report reveals where organizations are in their journey to becoming more Agile businesses. • Relentless focus on improvement across the organization • Adaptable funding models to enable a strategy pivot in real time • Organization around value streams to reveal obstacles and opportunities to get to customer value sooner What is of particular interest is that this year’s survey responses were collected in the time period preceding and through the first few months of the COVID-19 pandemic, giving us a unique view into the impact of a global disruption while it was happening.

What does it take to bring powerful change? Speed + quality + scale + flexibility. Just as DevOps is bringing this to software development, you can use DevOps to power up your AI model delivery. The next wave of competitive advantage is expected to come from technology such as artificial intelligence (AI), emerging technologies like blockchain and the imperative for every company to move to the cloud. Overnight, we’ve the seen speed of the shift to these digital technologies go from years to months or even days. And to support this change, the number of intelligent automation and AI implementations are increasing fast. To integrate AI into your company’s DNA, DevOps principles for AI are essential. How DevOps for AI can help When applied to AI, DevOps enables AI at scale through the operationalization of machine learning models from design to production. DevOps for AI ensures that the right AI delivery processes are in place and can bring the flexibility and “fail fast” approach needed during these times of constant change and technological transformation. Essentially, DevOps will facilitate continuous delivery, deployment and the monitoring of models through: • Speed: Improve time-to-market by reducing non value-added activities in AI delivery • Quality: Accelerate cleaning datasets and promote continuous learning to improve AI model quality • Scalability: Preempt scalability considerations and ensure AI models can scale on-demand • Stability: Monitor deployed AI models t...

Every company is looking to deliver the best value for their customers. But in finding their unique competitive edge, they may be overlooking an important part of the equation. Scaling DevOps & Site Reliability Engineering (SRE) is the way to take What is DevOps and SRE? At Accenture, we talk about how application delivery has shifted from large-scale, project-based implementations to a continuous evolution. DevOps has been around for over a decade now. But in our fast-paced, rapidly changing world, we need to extend its reach beyond the development teams to the enterprise—in other words, we need to Enterprise DevOps. Let me share with you the four key phases for maturing your Enterprise DevOps and what is learned along the way. After all, we all live by the Agile adage: fail fast and fail often, because that is the true-and-tried path to continuous learning. The speed of Agile, with its constant iterations in IT development, requires ever higher levels of automation—and all the organizational adjustments that come along with that. >> >> Why do we need Enterprise DevOps? Technology is making Agile—and Enterprise DevOps—transformation possible. But it is just one component. In my experience, DevOps teams are being held back from delivering their full value because they do not have the power of the enterprise behind them. It is not possible for teams to do everything bottom up. Company-wide commitment to scaling DevOps makes all the difference, by driving change from the top...

DevOps unites business leaders, developers, and IT operations staff in cross-functional, agile teams to transform software delivery by focusing on high levels of technology automation and collaboration. In our experience, DevOps at scale has helped companies reduce software defects by up to 70%, release new code 100 to 200 times more frequently, and get products to market two to four times faster. Companies that have combined DevOps with a standardized and fully virtualized infrastructure have seen IT costs drop by as much as 30%. Such results translate into a crucial benefit: sustainable competitive advantage. DevOps is a foundational capability to achieve digital ambitions and, therefore, an intrinsic part of becoming Implementing DevOps locally is relatively simple, but scaling DevOps across all parts of the organization, in complex environments, is a much more daunting task. BCG has delivered hundreds of DevOps projects across a variety of industries—and we understand how to scale DevOps in ways that generate maximum productivity and value for the business. Our DevOps consultants also partner with BCG helps you design and pilot a unique target operating model and build cross-functional teams that focus on reducing inefficiencies. During this process, we identify the need for DevOps deep dives, such as DevSecOps, AI operations, DevOps in complex enterprise resource planning environments, DevOps in data, site reliability engineer deployments, and no operations (NoOps). B...