This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In our fast-changing digital world, it’s essential to sync IT strategies with business objectives for lasting success. Effective IT strategy requires not just technical expertise but a focus on adaptability and customer-centricity, enabling organizations to stay ahead in a fast-changing marketplace.
Enterprise architecture (EA) has evolved beyond governance and documentation. A centralized EA repository enables enterprise-wide visibility into systems, dependencies, and risks. Governance ensures that EA strategies arent just models on paper but actionable frameworks that drive results. With the right tools.
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.
On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Rasmussen says the modernization process should begin by forming a strategy team and directing it to build the business case for why change is needed. “As
The secret is mastering strategic cost management strategies. Discover how these strategies can boost your enterprise's financial health, helping not only to keep up but to excel in today's market. How can businesses gain a competitive edge in an era marked by relentless competition and economic fluctuations?
The shifting leadership landscape In a fast-paced, tech-driven world, business strategy and technology are more intertwined than ever. Decisions made in isolation lead to inefficiencies, slower responses to market changes, and a lack of agility that stifles innovation. This is where architects can play a pivotal role.
In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. An enterprise with a strong global footprint is better off pursuing a multi-cloud strategy.
AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. To keep ahead of the curve, CIOs should continuously evaluate their business and technology strategies, adjusting them as necessary to address rapidly evolving technology, business, and economic practices.
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.
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.
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.
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. Not cleaning your data enough causes obvious problems, but context is key.
Enterprises know everything is not moving to the cloud that was the lesson of 2024, and it triggered some extreme reactions that fueled the cloud repatriation stories we all heard. The first step in addressing that challenge, according to enterprises, is addressing why cloud application planning is a challenge in the first place.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Indeed, more than 80% of organisations agree that scaling GenAI solutions for business growth is a crucial consideration in modernisation strategies. [2] The solutionGenAIis also the beneficiary.
They understand that their strategies, capabilities, resources, and management systems should be configured to support the enterprise’s overarching purpose and goals. Recognize IT and business are inseparable IT and business strategies are now fully intertwined, observes Jay Upchurch, EVP and CIO at analytics vendor SAS.
Speed and agility bring in the top transformation prize. To meet the pace required today, veteran IT executives and advisors offer 12 strategies CIOs can employ to increase their organizational velocity on transformational initiatives. The 2024 State of Agile report from Digital.ai
Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.
This process also highlights areas where automation or integration can improve operational efficiency, reducing manual effort and enhancing agility. When your existing enterprise system is stable, robust and tailored to your needs, replacing it with new technology can introduce unnecessary risk.
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. An organizations data architecture is the purview of data architects. Cloud storage. Cloud computing.
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 %.
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.
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. IT leaders must understand that times of uncertainty will arise as they work toward implementing the correct strategy.
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 first is to foster a culture of agility, collaboration, and AI-driven innovation, driven in part by our new Office of AI. What are some examples of this strategy in action? Were also using gen AI in merchandising to evaluate trends, optimize pricing, improve promotional strategies, and enable dynamic decision-making.
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.
A recent survey of cybersecurity professionals indicates that 81% of organizations are turning to zero trust as the foundation of their cybersecurity strategies. In a time when cyberthreats are growing in complexity and agility, AIs capacity for real-time surveillance and swift reaction is invaluable.
Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. Companies that not only survived but thrived amidst the myriad business challenges show why cloud-first application deployment is a critical component of a retooled IT strategy.
If the rest of the decade is anything like 2020, tech leaders are in for quite the ride. With an overnight forced migration to all things digital and virtual, projects that previously took two years were rolled out in two months — or even two weeks. CIOs and their digital and business colleagues have been […].
Here, agility is essential, and smart IT leaders are doubling down on efforts to streamline IT, whether that involves reprioritizing projects and realigning the IT portfolio, rationalizing applications and pursuing cloud-native approaches, increasing automation through DevOps or AIOps adoption, or overhauling the structure of IT operations.
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. If they’re going to benefit from AI strategies, companies must address this foundation before they can effectively scale their gen AI initiatives.
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. Highlighting the importance of value delivery is another core tenet of the redefined ZTD culture.
Data is the foundation of innovation, agility and competitive advantage in todays digital economy. I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. This challenge remains deceptively overlooked despite its profound impact on strategy and execution.
Weaving the IT strategy With organizational culture in mind, Previn is in charge of laying the foundations for a tactical IT plan. In this way, he said, everything we build, from an enterprise application to an email that goes out to the business, goes through this team.
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.
principal and national US CIO program leader as well as AI and data strategy practice leader at Deloitte Consulting. Old rule: Stay in your lane New rule: Collaborate across the enterprise The CIO domain was once confined to the IT department. For example,] they can work on AI strategies but leave the tech behind in many ways, he says.
Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies.
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.
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.
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. This required a major mindset change for our team, so we put people at the center of the strategy.
Why is TreeHouse Foods moving from a holding company model into an enterprise model? What advantages does moving to an enterprise model offer? With the enterprise model, we can do more vertical integration in some product lines. What is the IT strategy you’ve developed to drive this new operating model?
Rather than wait for a storm to hit, IT professionals map out options and build strategies to ensure business continuity. Following Broadcom’s late 2023 acquisition of VMware, numerous changes prompted customers and partners to reassess their strategies. A few years ago, Gregg Lowe the CIO of Boyd Gaming Corp.,
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.
The rise of generative AI (GenAI) felt like a watershed moment for enterprises looking to drive exponential growth with its transformative potential. As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls.
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.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content