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As IT professionals and business decision-makers, weve routinely used the term digital transformation for well over a decade now to describe a portfolio of enterprise initiatives that somehow magically enable strategic business capabilities. Ultimately, the intent, however, is generally at odds with measurably useful outcomes.
To capitalize on the enormous potential of artificial intelligence (AI) enterprises need systems purpose-built for industry-specific workflows. Strong domain expertise, solid data foundations and innovative AI capabilities will help organizations accelerate business outcomes and outperform their competitors.
“Our valued customers include everything from global, Fortune 500 brands to startups that all rely on IT to do business and achieve a competitive advantage,” says Dante Orsini, chief strategy officer at 11:11 Systems. “We We enable them to successfully address these realities head-on.” For more information on 11:11 Systems visit here.
The road ahead for IT leaders in turning the promise of generative AI into business value remains steep and daunting, but the key components of the gen AI roadmap — data, platform, and skills — are evolving and becoming better defined. That was the key takeaway from the “What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT
From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.
According to ITICs 2024 Hourly Cost of Downtime Survey , 90% of mid-size and large enterprises face costs exceeding $300,000 for each hour of system downtime. This further reduces your risk in the event of a destructive cyber-attack. Its common for an enterprise to have over 400 different sources.
Investing in the right kind of PCs helps businesses innovate, become more secure and adapt to new ways of working. They also ensure that enterprises have a foundation from which to implement crucial AI-driven improvements that can boost productivity and growth.
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.
Generative and agentic artificial intelligence (AI) are paving the way for this evolution. AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. Its a driver of transformation. The EXLerate.AI
The 18th Annual IDC Middle East CIO Summit is set to explore the dynamic world of artificial intelligence and its potential to drive business success. This highlights the growing importance of AI as a key driver of future business strategies.
Oracle will be adding a new generative AI- powered developer assistant to its Fusion Data Intelligence service, which is part of the company’s Fusion Cloud Applications Suite, the company said at its CloudWorld 2024 event. However, it didn’t divulge further details on these new AI and machine learning features.
The event focused on providing enterprises with an AI-optimized platform and open frameworks that make agents interoperable. Taken together, these tools aim to make enterprise AI more practical to deploy, scale, and manage, said Kaustubh K, practice director at Everest Group.
GISEC Global 2025, set to take place in Dubai, promises to be a pivotal event in the cybersecurity landscape, offering a platform for innovation, networking, and knowledge sharing. GISEC 2025 in Dubai is poised to be a landmark event for cybersecurity advancements and promoting gender balance in the tech industry.
As competition heats up among cloud service providers, especially on the generative AI front, Oracle is focusing its energies on providing IT infrastructure that can help developers and enterprises take advantage of generative AI in their operations.
Set for Tuesday 19 November, the CIO100 ASEAN Awards event will bring together the top senior technology executives and teams in Southeast Asia and Hong Kong driving innovation and influencing rapid change. These awards are aligned with Foundry’s global awards programme and viewed as a mark of excellence within the enterprise.
More organizations than ever have adopted some sort of enterprise architecture framework, which provides important rules and structure that connect technology and the business. Choose the right framework There are plenty of differences among the dozens of EA frameworks available.
As enterprise CIOs seek to find the ideal balance between the cloud and on-prem for their IT workloads, they may find themselves dealing with surprises they did not anticipate — ones where the promise of the cloud, and cloud vendors, fall short versus the realities of enterprise IT. How long do they retain these logs?” Levine says.
But many enterprises stopped their agile transformations at this layer. But the work to get business leaders, stakeholders, and end-users to shift to agile mindsets mostly got stuck. Most enterprise IT departments need program managers but need to restate their responsibilities.
another small business user. Contact Director of Global Strategic Communications and Events Kathryn Brown INE Security kbrown@ine.com G2 calculates rankings using a proprietary algorithm sourced from verified reviews of actual product users and is a trusted review source for thousands of organizations around the world.
As part of its storytelling ethos, the flight-status LLM will specify, for example, which precise weather event may be affecting a delayed flight and provide quick and useful information to customers about next actions. Based on Gartner findings, only about 4% of organizations were in production with generative AI services in March 2023.
e& enterprise, a leader in enterprise digital services, will play a pivotal role as the summit’s Host Partner. With its extensive experience in delivering digital transformation solutions, e& enterprise is well-positioned to help organizations harness the power of AI and advanced technologies to drive innovation and growth.
As the year-end approaches, it’s common for enterprises to discover they still have funds that must be utilized. Contact Director of Global Strategic Communications and Events Kathryn Brown INE Security kbrown@ine.com Often, these L&D dollars are “use or lose,” meaning they will be returned to the general fund if not invested.
Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. What could be worse than to plan for an event that requires the scaling of an application’s infrastructure only to have it all fall flat on its face when the time comes?”. “The
However, enterprise cloud computing still faces similar challenges in achieving efficiency and simplicity, particularly in managing diverse cloud resources and optimizing data management. Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management.
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.
FinOps finally became ubiquitous across the enterprise landscape last year with 75% of Forbes Global 2000 companies now all-in, according to IDC. Were looking more at SaaS and PaaS, and our enterprise technology organization is trying to utilize some of the same principles for our on-premises data centers.
ServiceNow has added more support for agentic AI to its cloud-based Now platform for digital workflow operations to help enterprises manage enterprises more easily while increasing productivity. The new studio also guides enterprise users through creating, testing, and activating AI agents for custom use cases, it added.
One common shortcoming of the basic setup of predictive maintenance is that rare events are underrepresented in the training data. AI is being used in other ways in the enterprise as well, to do things like improve the efficiency of the supply chain, facilitate customer interactions, and help employees perform office tasks.
With the AI revolution underway which has kicked the wave of digital transformation 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.
The other side of the cost/benefit equation — what the software will cost the organization, and not just sticker price — may not be as captivating when it comes to achieving approval for a software purchase, but it’s just as vital in determining the expected return on any enterprise software investment.
Scott Bickley, advisory fellow with the firm, said, “Workday launched its Skills Cloud back in 2018, and has been a thought leader in forecasting the enterprise shift from pre-defined roles to skills-based capabilities that allow an organization to dynamically pull from a skills pool the resources best suited to a task or goal.”
Production runs are another place where I believe the most significant payback for a business will be. How do you use AI to reliably run events over time and run them like other systems? AI is not merely a system of code; it’s not a case of ‘set it and forget it.’
The biggest challenge enterprises face when it comes to implementing AI is seamlessly integrating it across workflows. Without the expertise or resources to experiment with and implement customized initiatives, enterprises often sputter getting projects off the ground. Cost and accuracy concerns also hinder adoption.
And with end of support (EOS) immanent for Windows 10, many businesses are looking to make these investment decisions sooner rather than later. The revolutionary impact of AI PCs However, AI PCs are not merely the latest iteration in a routine device refresh cycle; they represent a leap forward in enterprise computing.
It just crossed $100M in revenue and is approaching a major liquidity event, such as an IPO. But as you speak with an expanding cadre of lawyers, accountants, and bankers, you start to appreciate what such an event means for your department. He uses selling into enterprise software as an example. “If It’s exciting stuff.
While NIST released NIST-AI- 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile on July 26, 2024, most organizations are just beginning to digest and implement its guidance, with the formation of internal AI Councils as a first step in AI governance.So
Some familiar examples of the tickets created in such scenarios are detected infrastructure events, incidents, and change requests. As enterprises and large organizations continue seeking ways to increase the value of their data through new technologies, generative AI is taking center stage.
Oracle has announced the launch of Oracle Fusion Cloud Sustainability — an app that integrates data from Oracle Fusion Cloud ERP and Oracle Fusion Cloud SCM , enabling analysis and reporting within Oracle Fusion Cloud Enterprise Performance Management (EPM) and Oracle Fusion Data Intelligence.
Are you using artificial intelligence (AI) to do the same things youve always done, just more efficiently? EXL executives and AI practitioners discussed the technologys full potential during the companys recent virtual event, AI in Action: Driving the Shift to Scalable AI. If so, youre only scratching the surface.
Organizations must develop and expand adaptive leadership capabilities across the enterprise, integrating the adaptive mindset, skills, and behavior into their organization’s DNA. At the highest level, you need adaptive executives who can envision the future and set a direction that anticipates change.
And in a troubling new trend, backup repositories have become the primary target for ransomware attacks, with backups targeted in 94% of attacks, and at least a portion of backup repositories impacted in 68% of cyber events, according to the 2022 Veeam Ransomware Report. Find out more on the Veeam website. [1]
One CIO suggested something like Tupperware parties — in-person, hands-on events similar to home demonstrations wherein users are shown how to create value with the IT services being provided. There are toxic attitudes and assumptions regarding technology floating around most enterprises today. Wrong answer.
According to IDCs Future Enterprise Resiliency and Spending Survey, Wave 4 , April 2024, the most significant factors limiting further evaluation or expanded use of GenAI are lack of skills and a lack of clear use cases or initial offerings that align with business needs.
Credit: Future Enterprise Resiliency and Spending Survey, Wave 10, October 2024 (n = 36 IT C-level executives who indicated higher IT spending in 2025 than 2024) This trend is expected to only intensify in 2026, where IT executives project GenAI budgets will more than double from an average of $3.45 million in 2025 to $7.45
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