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The Munich-based startup accuses SAP of abusing its market power and harming competition, and thereby negatively impacting customers, according to the 61-page indictment filed by Celonis in San Francisco District Court on March 13. German process mining specialist Celonis has filed a lawsuit against ERP giant SAP.
Unmanaged, this asset information could be a serious liability, leading to extreme consequences even by the standards of todays hyper-competitive business landscape, including lost productivity, unsafe operations, and poor uptime performance. Managed, on the other hand, it can boost operations, efficiency, and resiliency.
Make the case on AI urgency Nothing motivates a board quite like competitive pressure. So it’s essential to show the ROI to your business from the management of these costs. Instead, show how leading companies manage it strategically. This creates a compelling “act now” narrative that boards understand.
Changing consumer behavior and expectations, competition from major e-retailers, evolving cybersecurity challenges, inflationary pressures, sustainability and environmental concerns, and the pressure to take advantage of AI are all very real concerns for retailers today. AI will be a major factor in achieving progress in all of these areas.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world. Our esteemed speakers will discuss the emerging trends shaping the future of product management and business intelligence.
Unsurprisingly, more than 90% of respondents said their organization needs to shift to an AI-first operating model by the end of this year to stay competitive — and time to do so is running out. Courage and the ability to manage risk In the past, implementing bold technological ideas required substantial financial investment.
The economic and competitive landscape is extremely dynamic, and customers expect more seamless, personalized, and efficient experiences, Pappas says. If not, Thorogood recommends IT leaders build platforms that savvy business managers can use and encourage or require compliance with enterprise standards and processes.
In today’s fast-paced digital environment, enterprises increasingly leverage AI and analytics to strengthen their risk management strategies. A recent panel on the role of AI and analytics in risk management explored this transformational technology, focusing on how organizations can harness these tools for a more resilient future.
Enabling a competitive but compliant financial organization In a competitive landscape where technology agility is essential to thrive, BFSI organizations have little choice but to design innovative, technology-driven services.
But for a select few, the deeper challenges of departmental technologies being funded, procured, and managed without IT involvement are the missed opportunities to better engage and fulfill departmental technology needs. Following are seven steps to guide this transformation for competitive advantage.
People : To implement a successful Operational AI strategy, an organization needs a dedicated ML platform team to manage the tools and processes required to operationalize AI models. Operational AI offers organizations significant benefits, including time and cost savings, and critical competitive advantages in today’s business landscape.
IT teams hold a lot of innovation power, as effective use of emerging technologies is crucial for informed decision-making and is key to staying a beat ahead of the competition. How does a company approach data integration and management when in the throes of an M&A? Innovation is crucial for business growth.
Like outrunning the proverbial lion, you will need to be better than the next guy at AI to be competitive in this day and age. AI is the competitive focal point for at least the next 10 years. Full stop – end of conversation. Well, “master” might not be the right word. But what does that mean and how do you do that?
If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.
Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage. Senior business leaders and CIOs must navigate a complex web of competing priorities, such as managing stakeholder expectations, accelerating technological innovation, and maintaining operational efficiency.
Gartner’s top predictions for 2025 are as follows: Through 2026, 20% of organizations will use AI to flatten their organizational structure, eliminating more than half of current middle management positions. By 2029, 10% of global boards will use AI guidance to challenge executive decisions that are material to their business.
What are the associated risks and costs, including operational, reputational, and competitive? Finally, when evaluating scope or breadth, go broad when theres competition for resources and narrow if theres hesitation toward adoption. Increase adoption through change management. Evaluate processes that can be improved with genAI.
When addressed properly , application and platform modernization drives immense value and positions organizations ahead of their competition, says Anindeep Kar, a consultant with technology research and advisory firm ISG. Make sure you’re thinking about where modernization can make a competitive difference and start there.”
What is a managed service provider? Managed service provider business model Managed service providers structure their business to offer technology services cheaper than what it would cost an enterprise to perform the work itself, at a higher level of quality, and with more flexibility and scalability.
According to previous data from Robert Half, 58% of hiring managers who oversee IT professionals planned to hire in the second half of 2024, above the average of all industries surveyed (52%). Vick notes that when it comes to hiring, companies have also become more cautious, pulling back on compensation levels or remote work options.
This reflects the growing dependence on digital solutions to maintain competitiveness, he says. And he believes these tools not only streamline management and allow for more precise administration of resources, but also open up a range of possibilities to personalize the customer experience.
Cloud cost management remains a critical CIO priority. For CIOs who may need to customize their cloud cost information streams or manage a complex cloud estate, do-it-yourself cloud cost management may be the way to go. And that’s all before considering the need to fuel new AI initiatives , which can push cloud costs up further.
To drive gen-AI top-line revenue impacts, CIOs should review their data governance priorities and consider proactive data governance and dataops practices that go beyond risk management objectives. In IT service management, AI-driven knowledge graphs provide issue diagnosis and proactive resolution, decreasing downtime.
While the CIO role has expanded significantly, the metrics used to evaluate their performance often remain tied to traditional IT values like cost management, operational efficiency, and system uptime. Here are three key recommendations for CIOs to share with business management: CIO metrics should align with strategic business outcomes.
The country is ranked among the top five in the world for artificial intelligence competitiveness, is poised to further solidify its leadership in the sector with the launch of Dubai AI Week. This strategy is not just a roadmap but a testament to the UAEs forward-thinking approach to harnessing the power of AI for socio-economic growth.
These advanced technologies will be “crucial for maintaining a competitive edge, improving operational efficiency, and enhancing the customer experience,” he says. The rapid accumulation of data requires more sophisticated data management and analytics solutions, driving up costs in storage and processing,” he says.
Yet, despite the buzz, IT leaders remain wary of integrating it into IT service management (ITSM). For AI to make an impact, ITSM must be embraced not as a functional must-have, but as a competitive differentiator. AI is everywhere, surfacing in everything from search engines and virtual assistants to our breakfast conversations.
Conversations and subscriptions A per-conversation model seems to be an emerging approach, says Sesh Iyer, managing director, senior partner, and North America regional chair at BCG X, Boston Consulting Groups IT building and designing group. Vendors could also charge a small price per audio input or output.
Samsung, LG, and other top 10 conglomerates in Korea are SAP customers, and many excellent customers in Korea are using SAP to enhance their global competitiveness, said Klein. Business Data Cloud, released in February , is designed to integrate and manage SAP data and external data not stored in SAP to enhance AI and advanced analytics.
No matter what market you operate in, AI is critical to keeping your business competitive. In the past, creating a new AI model required data scientists to custom-build systems from a frustrating parade of moving parts, but Z by HP has made it easy with tools like Data Science Stack Manager and AI Studio.
Aligning ESG and technological innovation At the core of this transformation is the CIO, a pivotal player whose role has expanded beyond managing technological innovation to overseeing how these innovations contribute to ESG goals. Vipin Jain is the founder and chief architect of Transformation Enablers Inc.
The emergence of generative artificial intelligence (GenAI) is the latest groundbreaking development to put payers to the test when it comes to staying nimble and competitive without taking unnecessary risks. Since it burst onto the scene, GenAI has brought the potential to be a game-changing force for every industry it touches.
Many retailers are looking to AI for that competitive advantage. Enter Akeneo, a global leader in Product Experience Management (PXM) and AI tech stack solutions. Our customers and prospects face a growing challenge of managing vast amounts of product data across multiple channels and markets, adds Fouache.
The smaller players are more likely to have the innovative solutions that allow an organization to get ahead of the competition, so Gupta allocates 10 to 20% of his IT budget for the more nimble suppliers. That takes away our competitive advantage. We often use them on tier two problems that could become tier one next year.
Like any other hiring manager, we started with the traditional route of putting out a job description and trying to recruit. We’ve trained more than 400 Singaporeans to become AI engineers, and nearly all of them are today AI engineers, AI consultants, managers, or data scientists. To do that, I needed to hire AI engineers.
Nine of 10 CIOs surveyed by Gartner late last year expressed concerns that managing AI costs was limiting their ability to get value from AI. Also in May, information management and cloud firm OpenText sold off its application modernization and connectivity business for $2.28
Controlling public cloud costs can also be problematic due to lack of visibility into cloud usage patterns, inadequate governance and cost management policies, the complexity of cloud pricing models, and insufficient monitoring of resource use. Check out this webinar to get the most from your cloud analytics migration.
Knowledge management: GenAI helps organize and retrieve organizational knowledge, making it easier for IT professionals to access the information they need to solve problems and learn new skills. CIOs who act decisively now will gain a competitive edge by building adaptable, AI-ready teams. Contact us today to learn more.
Companies should therefore already be taking concrete steps to implement the EU AI Act and the EU Data Act, explains Daniel Andernach , Associated Partner at MHP , an international management and IT consultancy. In addition, data protection management systems should be regularly and proactively adapted to new legal requirements.
Once a strictly tech role managing an organizations internal needs, the CIO role has seen a massive tectonic shift. He adds, I cultivate a culture of innovation and healthy competition, ensuring that both business and technology teams remain motivated to achieve shared goals.
In insurance, we can soon expect to see agentic agents manage the end-to-end workflow for customer engagements. Mature AIOps will be critical for all organisations to maintain and improve agentic models, safeguard against model drift, establish guardrails and create a robust user-feedback loop to manage agent workflow. Partnerships.
Innovate without disruption by creating your own AI playbook Companies need to move the needle forward to competitively grow, but they have to balance this need for speed with the needs of their existing technologies. You can explore compelling business cases for this emerging use of AI in the contact center here.
They offer the ability to quickly adapt and innovate, creating a competitive advantage in fast-moving markets. On the other hand, it may require managing a more diverse and complex software landscape. Moreover, adopting these solutions may require changes in IT governance and management practices.
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 digital transformation journey.
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