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Some argue gen AIs emergence has rendered digitaltransformation pass. AI transformation is the term for them. Others suggest everything should be called business transformation or just transformation for short. What terminology should you use?
To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies. Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. How does our AI strategy support our business objectives, and how do we measure its value?
This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. To respond, CIOs are doubling down on organizational resilience.
Digitaltransformation is a broad term that is difficult to define precisely. Think of digitaltransformation as a way to future-proof a business. But, you can consider it a change in the business activities to prioritize your business’s digital presence. Steps To Driving A Successful DigitalTransformation.
million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digitaltransformation entails and how you can safeguard your company from cyber risks. What is cyber risk?
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%
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.
Digitaltransformation programs promise a wealth of advantages, but unforeseen challenges can cancel out measurable value. Careful planning and holistically evaluating your system integration (SI) partner proposals are critical steps in your transformation initiative. What primary risks lead to value erosion?
Organizations that continued full speed ahead with their digitaltransformation initiatives during the COVID-19 pandemic are able to ruminate on what went right and what they would have done differently, with the benefit of hindsight. CIOs and other IT leaders share seven secrets of how to get digitaltransformation right.
Once a vanguard business strategy, digitaltransformation has become a perennial objective for business survival. Digitaltransformation is the integration of digital technologies into all aspects of business operations. Moreover, digitaltransformation means doing all that work on a continuous basis.
Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digitaltransformationstrategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail.
Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. This creates new risks around data privacy, security, and consistency, making it harder for CIOs to maintain control.
So if you are seeking to lead transformational change at your organization, it’s worth knowing the 10 most common reasons why digitaltransformation fails and what you as an IT leader can learn from those failures. Resistance to change Change is hard, and digitaltransformation requires a lot of it.
These challenges grow even more pronounced in tracking progress across intricate digitaltransformation initiatives. Ultimately, these businesses run the increasing risk of falling behind in their markets. Conclusion Trust stands as a cornerstone in the digitaltransformation journey. DigitalTransformation
CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.
In a recent interview with Jyoti Lalchandani, IDCs Group Vice President and Regional Managing Director for the Middle East, Turkey, and Africa (META), we explore the key trends and technologies that will shape the future of the Middle East and the challenges organizations will face in their digitaltransformation journey.
With supply chain issues and the impending recession, digitaltransformation remains a pressing strategic imperative. However, key digitaltransformation milestones remain out of reach for far too many teams. The survey also revealed that digitaltransformation initiatives are tightly aligned with VSM.
We examine the risks of rapid GenAI implementation and explain how to manage it. These examples underscore the severe risks of data spills, brand damage, and legal issues that arise from the “move fast and break things” mentality. This is a risk that many organizations don’t consider.
One of the world’s largest risk advisors and insurance brokers launched a digitaltransformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. But the CIO had several key objectives to meet before launching the transformation.
While there has been accelerating interest in implementing AI as a technology, there has been concurrent growth in interest in implementing successful AI strategies. e) AI workforce training and development is a major component of AI strategy, though AI implementations consistently outpace training initiatives. organizations. (e)
When you’re guiding a large enterprise on a complex, long-term digitaltransformation journey, it can be very difficult to know which near-term steps will get you most rapidly to your desired destination. Cox Automotive Within Cox Automotive, the use of VSM has been instrumental in achieving success in digitaltransformation.
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. Are stakeholders struggling or unhappy?
Although enterprises acknowledge the importance of digitaltransformation in the current environment of flux, few succeed in their digital initiatives. A major reason so many digitaltransformation programs fail is that enterprises view them as technology problems rather than the organizational challenges they truly are.
However, the increasing integration of AI and IoT into everyday operations also brings new risks, including the potential for cyberattacks on interconnected devices, data breaches, and vulnerabilities within complex networks. Securing these technologies is paramount in a region where digital infrastructure is critical to national development.
One of the world’s largest risk advisors and insurance brokers launched a digitaltransformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. But the CIO had several key objectives to meet before launching the transformation.
Zulfi Jeevanjee, EVP and CIO, believes the best way to build and align next-generation business processes and modern IT platforms is to build anew, and so he is taking a cloud-first approach to digitaltransformation, dumping out all legacy infrastructure along the way. To fuel its transformation, the Northbrook, Ill.-based
Resistance to digitaltransformation comes in many forms. Even when the changes are necessary, such as in the case of increased competition from disruptive new entrants or the emergence of transformative technologies, the effort required to overcome internal inertia could exhaust all your magic powers.
Cybersecurity and systemic risk are two sides of the same coin. As we saw recently with the CrowdStrike outage, the interconnected nature of enterprises today brings with it great risk that can have a significant negative effect on any company’s finances. This should be no surprise since the global average cost of a data breach is $4.88
With the cloud being an inevitable part of enterprise digitaltransformation journeys, IT leaders must keep on top of the latest developments in the cloud market to better predict downstream impacts on their roadmaps. The cloud services landscape is in constant flux.
The portfolio approach to digitaltransformation is akin to an individual investing different amounts in different stocks to build a portfolio and then expecting different returns from each one of them over a period,” says KPMG’s Rabra. A CIO must take a cautious calculative risk approach.”
One strategy, five keys From a technological point of view, the brand’s strategic engine is divided into five investment areas. User data is also housed in this layer, including profile, behavior, transactions, and risk. We’ve been working on this for over a decade, including transformer-based deep learning,” says Shivananda.
Digitaltransformation must be a core organizational competency. The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. That’s my key advice to CIOs and IT leaders.
Karen Higgins-Carter, previously CIO of Webster Bank, joined Gilbane just over a year ago as CDIO with the responsibility of digitallytransforming this 153-year-old business. We’re in an industry that is ripe for transformation,” says Higgins-Carter, pictured above, center. Put your data strategy in business turns.
This alignment sets the stage for how we execute our transformation. Technical foundation Conversation starter : Are we maintaining reliable roads and utilities, or are we risking gridlock? DevSecOps maturity Conversation starter : Are our daily operations stuck in manual processes that slow us down or expose us to risks?
One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space.
Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. These issues dont just hinder next-gen analytics and AI; they erode trust, delay transformation and diminish business value. Manual entries also introduce significant risks.
Digitaltransformation initiatives, for the most part, offer significant advantages—enhancing efficiency, agility, and innovation across the business. As IT landscapes and software delivery processes evolve, the risk of inadvertently creating new vulnerabilities increases.
Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” When it comes to security, though, agentic AI is a double-edged sword with too many risks to count, he says. “We That means the projects are evaluated for the amount of risk they involve.
Investing in task orchestration and management technologies aligns with broader digitaltransformationstrategies necessary for maintaining competitive advantage. Utilizing these technologies helps reinforce the need for IT capabilities to evolve alongside business strategies, thereby enhancing overall organizational agility.
CIOs have been able to ride the AI hype cycle to bolster investment in their gen AI strategies, but the AI honeymoon may soon be over, as Gartner recently placed gen AI at the peak of inflated expectations , with the trough of disillusionment not far behind. That doesnt mean investments will dry up overnight.
While tech debt refers to shortcuts taken in implementation that need to be addressed later, digital addiction results in the accumulation of poorly vetted, misused, or unnecessary technologies that generate costs and risks. million machines worldwide, serves as a stark reminder of these risks.
The demand for ESG initiatives has become an integral part of a company’s strategy for long-term success, offering a promising future for those who embrace them. This includes minimizing the risks associated with AI bias, guaranteeing transparency in AI decision-making and addressing energy consumption in blockchain networks.
Also known as code debt, it’s the accumulation of legacy systems and applications that are difficult to maintain and support, as well as poorly written or hastily implemented code that increases risk over time. Digitaltransformation success depends on resolving technical debt.
When he’s not immersed in cybersecurity, hybrid cloud strategy, or app modernization, David Reis, CIO at the University of Miami Health System and the Miller School of Medicine, spends his time working with the board of directors and top leadership to reimagine healthcare and take the lead driving digitaltransformation.
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