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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?
The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. Is our AI strategyenterprise-wide?
In a survey of 451 senior technology executives conducted by Gartner in mid-2024, a striking 57% of CIOs reported being tasked with leading AI strategies. For CIOs, success will depend not only on technological leadership but also on mastering cost control, governance, and the human side of digitaltransformation.
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.
You ’re building an enterprise data platform for the first time in Sevita’s history. We had plenty of reporting, but very little data insight, and no real semblance of a data strategy. We knew we had to bring the data together in an enterprise data platform. What’s driving this investment? We thought about change in two ways.
Digitaltransformation represented among the largest investments in technology to modernize businesses starting in the early 2000s. With the rise of generative AI, CEOs recognize an opportunity to shift from technology-led digitaltransformation to executive-led business reformation.
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%
With the AI revolution underway which has kicked the wave of digitaltransformation into high gear it is imperative for enterprises to have their cloud infrastructure built on firm foundations that can enable them to scale AI/ML solutions effectively and efficiently.
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.
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.
From nimble start-ups to global powerhouses, businesses are hailing AI as the next frontier of digitaltransformation. research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. Nutanix commissioned U.K.
Digitaltransformation is indeed a cornerstone of business strategy today, as 89% of enterprises see digital business as core to their growth, according to Gartner’s Board of Directors 2023 Survey. For example, strategy building skills enable IT teams to unlock new business opportunities.
Acquiring this complimentary portfolio of events contributes to Corinium’s rapid growth strategy, adding to its portfolio of tech-focused in-person, digital and hybrid events for data, analytics and digital innovation-focused executives.
In this article, we look at why trust is so critical in an enterprise and offer some key approaches for establishing a solid foundation of trust. Trust is critical and difficult to maintain In an enterprise, trust can be fragile. Despite this dynamic, trust remains an essential objective for enterprise leaders.
Digitaltransformation has become an essential part of business success. According to TEKsystems’ 2023 State of DigitalTransformation , 41% of organizations’ digitaltransformation (DX) initiatives have failed to achieve their desired outcomes. That’s not digitaltransformation. Others agree.
Digitaltransformation has embedded IT at the center of business strategy, making all organizations technology enterprises today, irrespective of their industry. It’s little wonder then that CEOs across the world are attaching high importance to digitaltransformation as a means for achieving their future goals.
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.
The Chinese tech giant presented cutting-edge solutions aimed at enhancing connectivity, smart cities, and enterprisedigitaltransformation, with a particular emphasis on how these developments will impact the Middle East. AI is reshaping industries globally, and Huawei Cloud is at the forefront of this shift.
Digitaltransformation initiatives have picked up in the retail sector in recent years as store chains compete for brand awareness and sales in a rapidly evolving market. By 2026, retailers’ global investments in digitaltransformation tools are expected to reach $388 billion , growing by 18% a year.
And the importance of energy efficiency for enterprise IT cannot be overstated. The great news is that technological progress and sustainability can go hand in hand—and joint solutions from industry leaders like Equinix and Dell Technologies are helping organizations accelerate their digitaltransformation and business growth, sustainably.
For many of today’s global enterprises, it’s a struggle to adapt quickly to emerging challenges. 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.
By Chet Kapoor, Chairman & CEO of DataStax Enterprises have been talking about digitaltransformation for quite a while. It’s about rethinking how we use technology to drive new or improved strategy, people, and operations to meet changing business and customer needs. DigitalTransformation, IT Leadership.
The pandemic-era push to quickly boost digital touchpoints and services proved that transformation can happen fast. That has left a lasting legacy: Even as the pandemic recedes, enterprise executives continue to expect CIOs and their IT departments to deliver transformative capabilities at a rapid-fire pace. Lardi says.
For enterprise leaders, what’s key is making that first step, and every step thereafter, the best one possible. 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.
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.
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.
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)
Task automation platforms initially enabled enterprises to automate repetitive tasks, freeing valuable human resources for more strategic activities. Enterprises that adopt RPA report reductions in process cycle times and operational costs.
After all, a low-risk annoyance in a key application can become a sizable boulder when the app requires modernization to support a digitaltransformation initiative. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture.
It’s universally accepted that to thrive, enterprises must embrace transformation through technology. CIOs are at the forefront of this as they help shepherd their organizations through digitalization. In large companies, the digital journey is well underway, especially in the digital, media, and finance sectors.
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.
Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion. Salesforces Agentforce plays a key role in SharkNinjas digitaltransformation, too, with agentic AI being evaluated across user browsing, product selection, recipe discovery, and customer support.
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.
With digital operating models altering business processes and the IT landscape, enterprise architecture (EA) — a rigid stalwart of IT — has shown signs of evolving as well. Digitaltransformation needs to be rapid, too, but can’t lose sight of regulations, cyber security, and business reputation.
With research showing that data literate enterprises are worth AUD $400-700 million more on average than their rivals, it’s time for data leaders to consider how they can release the value ‘trapped’ within their organisations. If a person can’t read or write, simple, everyday tasks become impossible.
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. Many organizations today are looking to modernize their data architecture as a foundation to fully leverage AI and enable digitaltransformation.
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?
With the cloud being an inevitable part of enterprisedigitaltransformation 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.
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.
In this article, I am drawing from firsthand experience working with CIOs, CDOs, CTOs and transformation leaders across industries. 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.
As companies shift their focus from the digitaltransformation of individual processes to the business outcomes enabled by a digitallytransformed organisation, software engineering will become a core enterprise capability. When it comes to container-related technologies, only 30% are using OSS.
Organizations will still experiment with new gen AI pilots, but a more targeted approach focused on use cases specific to their businesses is increasingly becoming central to IT leaders AI strategies, says Andrew Wells, chief data and AI officer for NTT DATA North America.
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.
In a report on enterprise resilience and IT skilling strategies , IDC predicts that by 2026, 90% of organizations worldwide will “feel the pain of the IT skills crisis,” ultimately costing businesses upwards of $5.5T Developing the skills necessary to support transformation initiatives builds business resiliency.
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