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For CIOs leading enterprisetransformations, 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.
According to Harvard Business Review , 70% of digitaltransformation initiatives fail to achieve their objectives, often because they lack clear strategic alignment. Boards should be especially wary when management cannot provide clear answers about data readiness, as this often signals future implementation challenges.
To address this gap and ensure the data supply chain receives enough top-level attention, CIOs have hired or partnered with chief data officers, entrusting them to address the data debt , automate data pipelines , and transform to a proactive data governance model focusing on health metrics, data quality , and data model interoperability. [
As agentic AI starts to permeate into core processes and enterprise workflows such as software programming, cybersecurity, ERP, CRM, BI, supply chain, retail, and other areas, the trust equation will shift from informational trust issues to transactional trust issues. This dramatically takes accuracy up from, lets say, 67% to 95%.
According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. This data suggests change management efforts are lagging technology efforts at many organizations.
Now, forward-thinking companies—supported by AI strategy consulting—are transforming those experiments into robust, enterprise-wide systems that deliver measurable results. Today, forward-thinking companies are transforming experiments into enterprise-wide impact, thanks to smart AI strategy consulting.
What is enterprise architecture? Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring your EA strategy has a strong focus on agility and agile adoption.
Taylor adds that functional CIOs tend to concentrate on business-as-usual facets of IT such as system and services reliability; cost reduction and improving efficiency; riskmanagement/ensuring the security and reliability of IT systems; and ongoing support of existing technology and tracking daily metrics.
However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.
Integrated riskmanagement was also difficult. The organizational structure wasn’t prepared for the iterative development processes and long-term revenue models specific to data businesses, and there was a lack of mechanisms for cross-departmental data utilization and joint development.
Here, we break down the strategic areas and initiatives that IT leaders plan to spend time on this year, according to data from CIO.coms 2025 State of the CIO survey , additional research results, CIOs, and other enterprise leaders. Were focused on building a strong AI services platform for this.
The concept derives from a model of concurrent computation in the 1970s. Enterprises have progressively adopted new waves of automation paradigms from simple scripts and bots to robotic process automation (RPA) and cloud-based automation platforms. Yet real-world adoption remains uneven, as we will discuss later.
These solutions empower Oracle finance teams to focus on higher-value activities, such as financial planning and analysis, riskmanagement, and driving business growth. Hubble integrates seamlessly with Oracle EBS, allowing for real-time data analysis and scenario modeling within a familiar interface.
The UK approach is less regulatory and more guidance-oriented, focusing on existing data protection laws rather than new AI-specific regulations, differing from the more prescriptive EU and Canadian models. Emphasizes governance and riskmanagement similar to the EU AI Act and Canadas Bill C-27.
It’s federated, so they sit in the different business units and come together as a data community to harness our full enterprise capabilities. On the technology side, we think about the engineering aspects — access, platforms, tools, insights, transformations, all these different components to it. I think we’re very much on our way.
Since APIs are already the lingua franca of digital infrastructure, they’re the natural bridge to make agentic AI truly actionable. “We We see APIs as the cornerstone of agentic AI,” says Doug Gilbert, CIO and CDO of Sutherland Global, a digitaltransformation services company.
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. This change affects the entire IT architectural stack and impacts everything youre currently doing from business transformation to digitaltransformation and more.
At first glance, the central finding in the newly released ServiceNow and Oxford Economics’ 2025 Enterprise AI Maturity Index study seems surprising: on a 100-point scale, the average AI maturity score dropped nine points from last year. With so much attention, focus and investment in AI, how is it possible that businesses have fallen behind?
By fostering a shared vocabulary that includes market dynamics, revenue models, customer needs and strategic priorities, organizations can bridge the gap between IT and business leadership, enabling more cohesive, value-driven decision-making across the enterprise.
CIOs and CTOs are no longer just technology gatekeepers; they are now expected to act as commercial leaders, shaping enterprise strategy in line with market realities. However, while digitaltransformation remains a common ambition, the way it is executed differs sharply by region.
The past decade in IT has been all about digitaltransformation. Transformations once envisioned to be a two- or three-year journey, to catch up or get ahead, have become a continuous journey with no end in sight. It’s no longer sufficient to pursue after-the-fact transformations.
The analyst reports tell CIOs that generative AI should occupy the top slot on their digitaltransformation priorities in the coming year. I wrote in Driving Digital , “Digitaltransformation is not just about technology and its implementation. Luckily, many are expanding budgets to do so. “94%
Enterprise architecture (EA) and business process (BP) modeling tools are evolving at a rapid pace. They are being employed more strategically across the wider organization to transform some of business’s most important value streams. The Advantages of Enterprise Architecture & Business Process Modeling from erwin.
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 business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. See also: What Is Enterprise Architecture? . DigitalTransformation. Data Security & RiskManagement. Innovation Management. Are you ready for it?
Before the COVID-19 pandemic, many enterprise architects were focused on standardization. By evaluating and deploying the right combination of cloud-based platforms and security tools, enterprise architects played a key role in keeping businesses up and running in a remote-work world. According to a survey by McKinsey and Co. ,
With the help of business process modeling (BPM) organizations can visualize processes and all the associated information identifying the areas ripe for innovation, improvement or reorganization. In the blink of an eye, COVID-19 has disrupted all industries and quickly accelerated their plans for digitaltransformation.
Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. As enterprise architecture has evolved, so to have the use cases for enterprise architecture. Top 7 Use Cases for Enterprise Architecture. Data security/riskmanagement.
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. It may surprise you, but DevOps has been around for nearly two decades.
Enterprise architecture (EA) is a strategic planning initiative that helps align business and IT. In this post: What Is Enterprise Architecture? Why Is Enterprise Architecture Important? Why Is Enterprise Architecture Important? Benefits of Enterprise Architecture. Common Enterprise Architecture Use Cases.
Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.
Enterprise architecture (EA) benefits modern organizations in many ways. It provides a holistic, top down view of structure and systems, making it invaluable in managing the complexities of data-driven business. Once considered solely a function of IT, enterprise architecture has historically operated from an ivory tower.
Episode 2: AI enabled RiskManagement for FS powered by BRIDGEi2i Watchtower. AI enabled RiskManagement for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.
PODCAST: COVID 19 | Redefining DigitalEnterprises. But because of COVID-19, digitaltransformation is helping B2B models trying to replicate successful B2C models. You’re listening to AI to Impact by BRIDGEi2i, a podcast on AI for the digitalenterprise. Listening time: 11 minutes.
PODCAST: COVID 19 | Redefining DigitalEnterprises. Episode 12: How AI is rapidly transforming the enterprise landscape in. How AI is rapidly transforming the enterprise landscape in the post-COVID world. So, what we see that’s taking place in a more general setting is digitaltransformation.
As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and riskmanagement, with clear boundaries of shared responsibility. The security-shared-responsibility model provides a clear definition of the roles and responsibilities for security.”
PODCAST: COVID 19 | Redefining DigitalEnterprises. She feels while the short-term focus will be on crisis-management and survival, businesses will increasingly turn to intelligent automation across sectors once they start recovering. This can only accelerate digitaltransformation journeys businesses have already charted out.
As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and riskmanagement, with clear boundaries of shared responsibility. The security-shared-responsibility model provides a clear definition of the roles and responsibilities for security.”.
As a digitaltransformation leader and former CIO, I carry a healthy dose of paranoia. Call it survival instincts: Risks that can disrupt an organization from staying true to its mission and accomplishing its goals must constantly be surfaced, assessed, and either mitigated or managed.
But speaking to many IT leaders, there are often gaps between how IT runs Scrum, Kanban, or other agile practices and what CIOs need in order to achieve digitaltransformation objectives. Their comments offer insights as to what to do if your teams are “doing agile” but aren’t agile enough to deliver digitaltransformation results.
After so many years of “IT is a cost center,” it is refreshing to see so many technology leaders describe their role as value creation and even business model change. The focus is on business model change, not just another technology tool in the bag.” This model allows us pivot from a data defensive to a data offensive position.”
After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party RiskManagement Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.
The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Data, not technology, drives the IT operating model. Key features of data-first leaders. About Ian Jagger.
It seems anyone can make an AI model these days. Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source.
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