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In todays rapidly evolving business landscape, the role of the enterprise architect has become more crucial than ever, beyond the usual bridge between business and IT. In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns.
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.
For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform.
In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Now, EDPs are transforming into what can be termed as modern data distilleries.
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.
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.
When AI is added to the mix, it becomes possible to detect anomalies and enforce policies in real time, making enterprises far more agile against threats. In Zscalers model, every connection is policy-driven and independent, with no traditional network to attack. Stephen described how this shift has improved resilience at MGM.
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.
You ’re building an enterprise data platform for the first time in Sevita’s history. We knew we had to bring the data together in an enterprise data platform. How would you categorize the change management that needed to happen to build a new enterprise data platform? What’s driving this investment?
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.
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, 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.
Enterpriseagility depends not just on software, but on marketings ability to drive customer-informed, strategic adaptation. The post Agile marketing: The source of enterpriseagility first appeared on Agile Alliance.
Chinese AI startup, DeepSeek, has been facing scrutiny from governments and private entities worldwide but that hasnt stopped enterprises from investing in this OpenAI competitor. Enterprises are looking for cost-effective, open-weight AI alternatives as proprietary AI models remain costly and restricted.
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.
Air Force technologist turned enterprise security visionary, Marc is leading a security transformation that is less about red tape and more about unleashing speed, agility, and resilience at scale. A former U.S.
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.
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.
Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. 2025 will be the year when generative AI needs to generate value, says Louis Landry, CTO at Teradata.
The Kansas City, Missouri startup has closed a round of $24 million, a Series A that it will be using to continue developing its technology and to extend into a wider range of enterprise verticals. It covered more than just biometrics. We are thrilled to work with the TripleBlind team as they work to achieve their mission.” ”
Operating model patterns Organizations can adopt different operating models for generative AI, depending on their priorities around agility, governance, and centralized control. This enables faster time-to-market and agility because LOBs can rapidly experiment and roll out generative AI solutions tailored to their needs.
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.
For domain-centric solutions such as in the banking or energy sector, SLM is the way to go for agility, cost-effective resources, rapid prototype and development, security, and privacy of organizational data, Kasthuri says. Microsofts Phi, and Googles Gemma SLMs. Microsofts Phi, and Googles Gemma SLMs.
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.
As enterprises at every stage of maturity strengthen their digital capabilities, the Chief Digital Officer has emerged as a strategic force within the executive suite. At N2Growth, we have seen this combination of entrepreneurial agility , technical fluency, and strategic foresight become a hallmark of the most effective digital leaders.
In response, traders formed alliances, hired guards and even developed new paths to bypass high-risk areas just as modern enterprises must invest in cybersecurity strategies, encryption and redundancy to protect their valuable data from breaches and cyberattacks. Theft and counterfeiting also played a role.
I believe that the fundamental design principles behind these systems, being siloed, batch-focused, schema-rigid and often proprietary, are inherently misaligned with the demands of our modern, agile, data-centric and AI-enabled insurance industry. A critical consideration emerges regarding enterprise AI platform implementation.
As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. These platforms also seamlessly integrate with enterprise data fabric, enabling a unified approach to securing sensitive data across silos.
To address these issues, IT organizations are increasingly migrating workloads to the cloud to gain operational efficiency and agility. In addition, enterprise IT must build its infrastructure to manage a maximum load. This agility is particularly valuable for AI initiatives, especially since they often require rapid scaling.
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.
Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. According to a Bank of America survey of global research analysts and strategists released in September, 2024 was the year of ROI determination, and 2025 will be the year of enterprise AI adoption.
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.
billion, highlighting the dominance of cloud infrastructure over non-cloud systems as enterprises accelerate their investments in AI and high-performance computing (HPC) projects, IDC said in a report. AIs impact on enterprise IT strategies Enterprises worldwide are leveraging this AI-fueled momentum to transform operations.
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.
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.
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).
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.
Our research shows 52% of organizations are increasing AI investments through 2025 even though, along with enterprise applications, AI is the primary contributor to tech debt. What part of the enterprise architecture do you need to support this, and what part of your IT is creating tech debt and limiting your action on these ambitions?
It will, he said, help large enterprises with complex on-premises SAP ERP systems transition to SAP Cloud ERP before the 2030 deadline, providing an extended runway (2031-2033). This is not just a technical shift; its a business enabler that allows enterprises to modernize at a pace thats manageable. So, what do many customers do?
Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion. Organizations can move from reactive reporting to dynamic, AI-driven decision-making, driving greater agility and impact, says Snowflakes Tafvizi. Wereinfusing AI agents everywhereto reimagine how we work and drive measurable value.
Old rule: Stay in your lane New rule: Collaborate across the enterprise The CIO domain was once confined to the IT department. CIOs must also break down siloes between teams to better support collaboration across the entire enterprise, and adopt agile development methodologies, Cameron says.
Simultaneously, the monolithic IT organization was deconstructed into subgroups providing PC, cloud, infrastructure, security, and data services to the larger enterprise with associated solution leaders closely aligned to core business functions.
Youre losing sight of the overall aim and not respecting employee concerns Instead of viewing change management as a set of static processes, leverage it as a dynamic capability that fosters agility and resilience. But Bilow observes that enterprises sometimes bypass early stakeholder groups and jump straight to business user needs.
“Our hope is that the GDI will give every country a clearer vision of and plan for its digital and intelligent transformation,” said Leo Chen, Senior Vice President, President of Enterprise Sales, Huawei.
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