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CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards. The sponsor’s primary responsibility is to secure funding and justify the business value of the investment.
Enterprise architecture (EA) has evolved beyond governance and documentation. A centralized EA repository enables enterprise-wide visibility into systems, dependencies, and risks. At this stage, EA plays a key role in digital transformation initiatives, enabling business agility, cost optimization and faster time-to-market.
Past shifts to agile methodologies helped as teams now had a product owne r to prioritize backlogs and adopted agile principles that empowered them to commit to a realistic amount of work. But many enterprises stopped their agile transformations at this layer.
Decisions made in isolation lead to inefficiencies, slower responses to market changes, and a lack of agility that stifles innovation. Architects help organizations remain agile, innovative, and aligned by bridging gaps between strategy and technology. The future of leadership is agile, adaptable and architecturally driven.
Discover how these strategies can boost your enterprise's financial health, helping not only to keep up but to excel in today's market. What’s Inside: Different cost improvement initiatives The importance of employee empowerment How to achieve agility and adaptability
The business pressures prompting the need for such a service are many, including: M&A/Business Expansion : Enterprises are constantly changing, whether through sudden mergers and acquisition, digital transformation efforts, or growth into new markets. The service also enables enterprises to migrate their SD-WAN fabrics to the cloud.
But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. AI needs data cleaning that’s more agile, collaborative, iterative and customized for how data is being used, adds Carlsson. The great thing is we’re using data in lots of different ways we didn’t before,” he says.
One of the biggest trends we are seeing is business agility. That is, IT looking at the tech they have deployed and evaluating it not just in terms of speeds and feeds, but how agile it is to handle whatever's coming next," said Todd Nightingale, Cisco's Enterprise Networking & Cloud business chief.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units. Leveraging Dremio for data governance and multi-cloud with Arrow Flight.
This is had a profound impact on the enterprise network as most of the enabling technologies such as cloud, mobility and IoT are network centric. They are rigid, require intensive manual processes, and lack the agility and intelligence to meet the demands of digital business.
On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Ensure that your plan supports one or more of your organization’s key business strategy goals, such as improving agility, reducing costs, boosting security, or enhancing customer experience.”
AI is reinvigorating the mainframe and causing enterprises to rethink their plans for mainframe modernization. Most enterprises have built tech estates on hybrid cloud architecture, the researchers stated. “In In fact, 91% of IT executives agree that their organization promotes hybrid architectures.
To ensure every IT initiative directly contributes to measurable business outcomes, CIOs must move from operational managers to strategic partners, collaborating with business leaders to align IT decisions with enterprise goals.
To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. 451 Group’s research indicates 57% of the enterprises currently using a data lake cite improved business agility as a benefit.
Long-standing “waterfall” knowledge management (KM) practices are failing to meet the needs of the modern enterprise, and technology leaders must reassess their approach. For the same reasons that agile principles have […].
Pressure to implement AI plans is on the rise, but the readiness of enterprise networks to handle AI workloads has actually declined over the past year , according to new research from Cisco. However, between 2023 and 2024, global AI readiness in the enterprise has declined.
AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Technology investments, such as in generative AI, are a priority in addressing the need to meet rising expectations while also driving operational agility and resilience.
Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. Optimize data flows for agility. Zachman Framework for Enterprise Architecture. Cloud storage. Cloud computing. DAMA-DMBOK 2.
As enterprises across Southeast Asia and Hong Kong undergo rapid digitalisation, democratisation of artificial intelligence (AI) and evolving cloud strategies are reshaping how they operate. AI-powered automation will streamline repetitive tasks, reduce human error, and enhance operational efficiency by 30-40 %.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. 2] The myriad potential of GenAI enables enterprises to simplify coding and facilitate more intelligent and automated system operations. The foundation of the solution is also important.
Future Fit Organizations are Adaptive Covid-19 has accelerated the need for enterprises to adapt to rapidly changing market conditions. Satya Nadella in April 2020 told thousands of developers at the online Microsoft Build conference “we’ve seen companies do in 2 months what they normally would do in years…”.
Many IT teams use agile methodologies to iteratively deliver feature-rich releases, improve capabilities, address technical debt, and experiment with emerging technologies. I recently moderated Adaptavist’s “Agile Back to Basics” roundtable, which included three authors of the Agile Manifesto.
Instead of succumbing to the pressure, CIOs should consider collaborative approaches: Empower and inspire agile teams by avoiding rigid delivery roadmaps, highlighting what performance improvement areas are worth focusing on, and giving teams time to reset after major releases.
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.
According to ITICs 2024 Hourly Cost of Downtime Survey , 90% of mid-size and large enterprises face costs exceeding $300,000 for each hour of system downtime. Start by backing up virtual machines, physical servers, and enterprise systems of record that store your most sensitive information.
While they launch AI-fueled lightning attacks, enterprises must tread carefully, aiming to respond to the multiplying threats without inadvertently creating new vulnerabilities that compound their risk. Enterprise defenses are in danger of collapsing from their own complexity.
The roadmap is based on three fundamental pillars, with a goal of achieving an agile organization with a capacity for innovation and operational resilience to face the uncertain future that is looming on the horizon. The first of these pillars is related to user experience.
In partnership with e& enterprise, the regions leading provider of secure, scalable digital solutions, the summit will serve as a critical platform for shaping the future of AI adoption in the Middle East. This highlights the growing importance of AI as a key driver of future business strategies.
The agile methodology, which facilitates collaboration between stakeholders, teams, and customers during software development, is fast gaining prominence in today’s enterprises. The Scrum master leads this process, providing guidance to the team and product owner and ensuring agile practices are followed by team members.
Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics.
AI is really the brain driving humanoid robots like Agility, Tesla Optimus, and Boston Dynamics Atlas. Today, key vendors xAI, Meta, IBM, Boston Dynamics, Agility Robotics, Apptronik, Figure.ai, FourierIntelligence, and Sanctuary.ai have plans to develop AI humanoid robots that can reason and adapt.
Whether youre in an SMB or a large enterprise, as a CIO youve likely been inundated with AI apps, tools, agents, platforms, and frameworks from all angles. So here are five ways CIOs can begin to manage AI proliferation and foster a culture of responsible innovation across the enterprise. of IT budgets by 2027.
The latter option had emerged as a compelling solution, offering the promise of enhanced agility, reduced operational costs, and seamless scalability. Our cloud strategy was to use a single cloud provider for our enterprise cloud platform AWS. Time to market. Developer productivity.
More organizations than ever have adopted some sort of enterprise architecture framework, which provides important rules and structure that connect technology and the business. The results of this company’s enterprise architecture journey are detailed in IDC PeerScape: Practices for Enterprise Architecture Frameworks (September 2024).
Sameer Purao, who joined Celanese as CIO and CDO in 2021, is keeping the team and company focused by making change management a core competency of his team, and ensuring a focus on value, agility, and purpose. We decided that change, agility, and value would be key to put people at the center of the transformation.
However, enterprise cloud computing still faces similar challenges in achieving efficiency and simplicity, particularly in managing diverse cloud resources and optimizing data management. Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management.
The public cloud turns 23 this year, and enterprise migration of on-premises workloads isnt just continuing its speeding up. According to the Foundry Cloud Computing Study 2024 , 63% of enterprise CIOs were accelerating their cloud migrations, up from 57% in 2023. Cost savings are far from the only advantage of modernization, however.
Finalist: LiveAction LiveNX LiveActions enterprise network management software platform, LiveNX, allows companies to manage large and complex networks by unifying and simplifying the collection, correlation, and presentation of application and network datamaking it actionable for network management teams.
A key way to facilitate alignment is to become agile enough to stay ahead of the curve, and be adaptive to change, Bragg advises. IT leaders also need to be agile enough to drive and support change, communicate effectively, and be transparent about current projects and initiatives.
When I joined RGA, there was already a recognition that we could grow the business by building an enterprise data strategy. We were already talking about data as a product with some early building blocks of an enterprise data product program. Enterprise gen AI is where the true value is. Thats a critical piece.
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