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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.
Underpinning these initiatives is a slew of technology capabilities and strategies aimed at accelerating delivery cycles, such as establishing product management disciplines, building cloud architectures, developing devops capabilities, and fostering agile cultures.
Jenga builder: Enterprise architects piece together both reusable and replaceable components and solutions enabling responsive (adaptable, resilient) architectures that accelerate time-to-market without disrupting other components or the architecture overall (e.g. compromising quality, structure, integrity, goals).
We still operated our core license and maintenance business, but we changed everything, including CRM, revenue recognition, reporting, and customer success to support the new cloud business operating model. We knew we had a unique opportunity to build a new end-to-end architecture with a common AI-powered data model. Today, we’re a $1.6
In the Forrester/InfoWorld Enterprise Architecture Awards competition, we look for the most dramatic stories of EA’s strategic leadership and concrete business impact.
Every strategic decision, from customer engagement to AI-driven automation, relies on an organizations ability to manage, process and move vast amounts of information efficiently. However, as companies expand their operations and adopt multi-cloud architectures, they are faced with an invisible but powerful challenge: Data gravity.
It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective.
A human-centric approach helps with the changemanagement efforts around using agentic AI while evaluating the benefits and risks. CIO should bet on changemanagement programs and evangelizing high-quality agents with whom employees collaborate to deliver value beyond productivity.
He advises beginning the new year by revisiting the organizations entire architecture and standards. If not, Thorogood recommends IT leaders build platforms that savvy business managers can use and encourage or require compliance with enterprise standards and processes. Are they still fit for purpose?
For example, my changemanagement motto is, “Humans prefer the familiar to the comfortable and the comfortable to the better.” Which are not longer an architectural fit? This phase brings with it rapid changes in technologies, processes, and roles. During my career I have developed a few mottos. Which are obsolete?
By Bryan Kirschner, Vice President, Strategy at DataStax Changemanagement across people, processes, and technologies is a critical part of succeeding with generative AI (genAI). In earlier articles, weve covered the human element and how to adapt your processes ; here, well take a look at the third: technology.
CIOs often have a love-hate relationship with enterprise architecture. In the State of Enterprise Architecture 2023 , only 26% of respondents fully agreed that their enterprise architecture practice delivered strategic benefits, including improved agility, innovation opportunities, improved customer experiences, and faster time to market.
It adopted a microservices architecture to decouple legacy components, allowing for incremental updates without disrupting the entire system. Changemanagement strategies, including clear communication and incentives, helped overcome resistance and drive adoption.
Invest today in the data ecosystems, ethical frameworks, and scalable architectures that will unlock AIs exponential value over the next decade. What matters most is preparing your workforce, thinking through the changemanagement process, reshaping business workflows, and acquiring new skills.
All these acquisitions point to a significant shift in the enterprise architecturemanagement suites (EAMS) space. In November 2023 LeanIX was absorbed by SAP, in September 2024 Ardoq acquired ShiftX and now on December 11th, 2024, Orbus Software announced its acquisition of Capsifi.
To consolidate and modernize our technology, we focus on three transformations: customer facing, back office, and architecture. For the technical architecture, we use a cloud-only strategy. A cloud-only architecture allows us to operate in all these modes. We also have a small team of IT changemanagement people.
Recertification: Required every three years Uptime Institute Certified Data Center Management Professional (CDCMP) According to Foote Partners, Uptimes Certified Data Center Management Professional is the highest-value data center certification they track, with a median premium of 7% over base salary.
Much of that energy has been spent assembling the right team and fully backing them with robust leadership and changemanagement. For most of the 22% of AI leaders who have emerged, the time since ChatGPT went live in November of 2022 has been a period of AI incubation, investment, and focused effort.
Ajith Chandrasekharan serves as the Director of Enterprise Architecture at Keurig Dr Pepper focused on developing and maintaining the enterprise architecture roadmap and plays a crucial role in aligning the IT strategy to the business objectives. This article was made possible by our partnership with the IASA Chief Architect Forum.
It’s a change fundamentally based on digital capabilities. Our digital transformation has coincided with the strengthening of the B2C online sales activity and, from an architectural point of view, with a strong migration to the cloud,” says Vibram global DTC director Alessandro Pacetti.
Its a very long and painful process, notes Don Henderson, CTO at BetaNXT, a wealth management company that provides tech services to clients. Henderson is in the throes of an 18- to 20-month project to consolidate three database architectures for operational efficiencies.
It focuses on technical aspects such as architecture, security and compliance. Changemanagement. Driving business transformation through cloud adoption requires effective changemanagement and stakeholder buy-in. Cons: Investment. Security and compliance.
They were especially interested in new tools if they wanted to apply AI/ML to intelligent alerting, changemanagement, capacity management, and conversational tool queries via chatbots/virtual assistants. Network Management Software, Network Security
We really liked [NetSuite’s] architecture and that it’s in the cloud, and it hit the vast majority of our business requirements,” Shannon notes. In 2017, after exploring other ERP systems, whittling down a list of around 80 vendors, and defining its business requirements, Allegis selected NetSuite — and it didn’t go well. “We
The panel recognized that IT organizations are undergoing a fundamental shift, requiring CIOs, data heads, and AI leaders to rethink their approach to talent management. The biggest challenge isthat people arenot used to operating at a veryfast speed andmaking decisions quicker than theycurrently do.
At a high level, NaaS requires a scalable cloud-native architecture thats flexible, incorporates a high degree of automation, and makes great use of AI and machine learning (ML) to facilitate self-healing, streamline management, and boost observability. Lack of visibility into service quality: 35.2% Security concerns: 32.6%
“I was an architect and led large architecture teams for several years,” says Reis, “I'm a big supporter of API's and really valuable standards like TM Forum Open APIs for the telecom sector.” “If you change an API, it will also impact your consumers, so you need governance,” he insists. .
To move the needle on IT’s P&L focus, Klopfenstein credits tight collaboration with the CEO, which opened doors to additional funding and helped clear changemanagement and broader organizational hurdles. A partnership with the finance team helped get everyone on the same page regarding requirements for a P&L lens.
A data governance plan: This plan should specify how data will be managed, including the policies, stewardship, and operating model for orchestrating fit for purpose data management.
Now Agusti, who began her Carhartt tenure as a senior programmer analyst, is charged with leading the company’s transformation into its next phase, one that is accelerating daily with the barrage of complex technologies changing the global supply chain and business practices, Agusti says. We’re still in that journey.”
But until there’s a change in corporate will and the CIO’s vision combines with other management to drive a full-scale project, success can only be measured by the strength of the corporate culture. “I Changemanagement is the real heart of digital transformation, even before technologies.
Since technology evolves rapidly, ensuring seamless adoption while keeping business teams aligned requires continuous changemanagement. She adds, Proactively build strong technology stack, AI-driven, and security-first architectures to scale efficiently. Namrita prioritizes agility as a virtue.
I have been researching and thinking more deeply about how platform architectures can lead to intended or unintended consequences. The efficiency narrative is driven by platform DNA (think enterprise architecture). Today, society is reckoning with how “technological genetics” dictate outcomes, such as how algorithms impact democracy.
The second thing is, more often than not, organizations underestimate the changemanagement that is instrumental for transformations to be successful. They think of changemanagement as something you do at the end of the project, and that approach is bound to fail. Folks can get enamored by the technology.
Data formats and data architectures are often inconsistent, and data might even be incomplete. Another is through a data fabric, an architecture and set of data services that provide a unified view of an organization’s data, and enable integration from various sources on-premises, in the cloud and on edge devices.
Technical skills topped the list but also crucial are key leadership and culture capabilities such as changemanagement, strategy building, and business relationship management, as well as critical business skills such as cost, product, and vendor management, as shown in the graphic below.
Layering technology on the overall data architecture introduces more complexity. Today, data architecture challenges and integration complexity impact the speed of innovation, data quality, data security, data governance, and just about anything important around generating value from data. Data and cloud strategy must align.
Skills such as software engineering, architecture, cloud, and program management are highly sought after as more companies explore creating both internal and external applications and solutions. The demand for project managers has grown, with salaries for this role increasing by 15.6% percent since 2021, according to Dice.
Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership. With 65% of IT decision-makers choosing cloud-based services by default when upgrading technology, cloud architects will only become more important for enterprise success.
Anyone who leads an organization through digital transformation must understand the challenges customers face through the architecture and operating model the organization has created. It wasn’t about a better PLM [product lifecycle management] system that no one was asking for.”. Incremental changemanagement.
Ballard is also the technology executive responsible for both the company’s battery electric vehicle (BEV) platform as it shifts to electrification, and its digital platform engineering and architecture organization, and he counts on conversational AI and generative AI as major components to transform HR and IT service requests.
How would you describe your target architecture? This platform architecture allows us to do three things quickly: sense, decide, and act. With our platform architecture, we can sense when sector three’s turbine is about to fail, decide how to leverage that data, and act by updating the customer on the health of the asset.
And not only in terms of architecture and technology. Successful transformation requires a firm understanding of organizational changemanagement (OCM). This is not technical changemanagement. This model slows productivity, increases employee churn, and allows competitors to outpace us.
These individuals play a pivotal role in driving change and implementing new strategies. Building relationships with mid-level leaders is essential for successful changemanagement. However, the real influence lies with the next layer of leadershipthose who are responsible for day-to-day operations.
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