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The UK government has introduced an AI assurance platform, offering British businesses a centralized resource for guidance on identifying and managing potential risks associated with AI, as part of efforts to build trust in AI systems. billion in revenue, the UK government said. “The
Its up to IT leaders to ensure the changes their digital initiatives bring to business workflows are absorbed and acted upon by the users impacted by them. Too often, however, change management is treated as an afterthought, observes Munir Hafez, senior vice president and CIO at consumer credit reporting agency TransUnion.
Agentic AI, which Forrester named a top emerging technology for 2025 in June , takes generative AI a step further by emphasizing operational decision-making rather than content generation. IT service management giant ServiceNow has also added AI agents to its Now Platform. Microsoft and others are also joining the fray.
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). In addition to using cloud for storage, many modern data architectures make use of cloud computing to analyze and manage data.
Businesses are realizing that it isn’t just about the volume of data they have available; it’s about the accuracy of information. However, investing in new technology isn’t always easy, and commonly, it’s difficult to show the ROI of data quality efforts. The digital age has brought about increased investment in data quality solutions.
IT managers are often responsible for not just overseeing an organization’s IT infrastructure but its IT teams as well. To succeed, you need to understand the fundamentals of security, data storage, hardware, software, networking, and IT management frameworks — and how they all work together to deliver business value.
As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls. Such data also has to be placed in environments, be it private or public clouds, that can meet both business requirements and technical needs.
Omni-channel retailing puts even greater importance on the ability to manage and integrate data effectively across the enterprise. What excites me is the critical role technology plays in enabling this. What are some technology solutions that are driving your growth? How did you achieve this integration?
Following a legislative review of state purchases in fiscal year 2022, the state of Oklahoma discovered that its agencies had procured more than $3 billion worth of goods and services outside the oversight of its Office of Management and Enterprise (OMES) Central Purchasing division. That figure polled No. billion by 2032.
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. We’ll explore essential criteria like scalability, integration ease, and customization tools that can help your business thrive in an increasingly data-driven world.
To comply with this obligation, Suncor has developed the Intercompany Tax Automation (ITC) solution using SAP Business AI & SAP Build Products. This would allow Suncor to harness embedded artificial intelligence (AI) capabilities and manage its data responsibly.
As business leaders look to harness AI to meet business needs, generative AI has become an invaluable tool to gain a competitive edge. With generative AI businesses can now boost productivity and reduce costs, fundamentally changing how they work. These models capture natural languages and the nuances of user queries.
Most IT and business executives recognize the necessity of close alignment. They understand that their strategies, capabilities, resources, and management systems should be configured to support the enterprise’s overarching purpose and goals. Having a seat at the strategy table helps IT push the business forward. “It
The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both. This means that the infrastructure needs to provide seamless data mobility and management across these systems. Imagine that you’re a data engineer.
A number of issues contribute to the problem, including a highly distributed workforce, siloed technology systems, the massive growth in data, and more. AI and related technologies, such as machine learning (ML), enable content management systems to take away much of that classification work from users. “AI
And she expects AI to drive even more impressive innovations as both the technology and the enterprise’s ability to use it mature. “AI Moreover, 64% of those IT decision-makers expect AI and machine learning to significantly alter the way their business operates over the next three to five years, up from 39% who said the same in 2023.
In fact, gen AI isn’t currently among the implemented technologies at Euronics because Tesoro doesn’t see use cases functional to the retail activity. “IT IT must be at the service of the business,” he says. I give directions and strategies to the supplier and the partner, and an internal project manager acts as a link.
While technology prowess remains an important attribute, many in IT now hail from different functional areas, the connective tissue being a passion for the intersection of healthcare and business. IT leaders have been burnishing their business acumen and embracing a non-technical remit for some time.
In our fast-changing digital world, it’s essential to sync IT strategies with business objectives for lasting success. Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage.
Digital transformation 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 digital transformation to executive-led business reformation.
Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. These reinvention-ready organizations have 2.5
Data silos, lack of standardization, and uncertainty over compliance with privacy regulations can limit accessibility and compromise data quality, but modern data management can overcome those challenges. Some of the key applications of modern data management are to assess quality, identify gaps, and organize data for AI model building.
It wasn’t just a single measurement of particulates,” says Chris Mattmann, NASA JPL’s former chief technology and innovation officer. “It Meanwhile NASA isn’t alone deploying these early kinds of multiagent systems as companies that deal with operations and logistics have used these technologies for years.
A more operational, business-specific way of leveraging generative AI is beginning to take shape in the form of AI agents that quietly work behind the scenes, moving beyond gen AI’s creational capabilities toward autonomous decision-making in enterprise workflows. In many cases, gen AI still requires significant human intervention, he says.
New advancements in GenAI technology are set to create more transformative opportunities for tech-savvy enterprises and organisations. The technology can operate autonomously, make decisions based on real-time analysis and, critically, execute on decisions. Smart agents are part of a full stack of technologies and services.
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. Over the next 12 months, IT leaders can look forward to even more innovations, as well as some serious challenges.
New advancements in GenAI technology are set to create more transformative opportunities for tech-savvy enterprises and organisations. The technology can operate autonomously, make decisions based on real-time analysis and, critically, execute on decisions. Smart agents are part of a full stack of technologies and services.
Companies eager to harness these benefits can leverage ready-made, budget-friendly models and customize them with proprietary business data to quickly tap into the power of AI. The right generative AI solutions can unlock a world of opportunities for business leaders aiming to increase efficiency, drive productivity, and boost performance.
The business narrative around generative artificial intelligence (GenAI) has been consumed with real-world use cases. However, as GenAI matures and businesses move deeper into enterprise-level adoption, it’s become clear that the most transformative impact of GenAI will be on the very idea of transformation itself.
Three years after replacing Jeff Bezos, Amazon CEO Andy Jassy is still busy refining the organizational structure and processes at the online giant. Jassy aims to streamline Amazon bureaucracy by increasing the ratio of employees to managers by at least 15% by the end of the first quarter of 2025 — which is to say, within the next six months.
How and why is Ingram Micro becoming a platform business? But today, were working toward becoming a platform business, and recently re-entered the public eye under the NYSE: INGM ticker symbol. Many digital transformations focus on platforms to support the business, but thats different from running a platform business.
Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. Open source isnt completely free as there are still infrastructure and management costs. Take for example the simple job of reading a receipt and accurately classifying the expenses. Finally, theres the price.
Ninety percent of CIOs recently surveyed by Gartner say that managing AI costs is limiting their ability to get value from AI. In addition, if CIOs don’t fully understand the cost of scaling generative AI, they could miscalculate by 500% to 1,000%, says Hung LeHong, an analyst focused on executive leadership for digital business at Gartner.
With data central to every aspect of business, the chief data officer has become a highly strategic executive. Todays CDO is focused on helping the organization leverage data as a business asset to drive outcomes. Voorhees has seen great benefit from extending data literacy programs to include AI technologies.
As industries continue to evolve, the integration of digital technologies to streamline service processes is no longer a luxury—it’s a necessity. In today’s hyper-competitive environment, organizations are harnessing technology to innovate and maintain relevance.
What was a thorough set of roles and responsibilities a few years ago is far from adequate today, so the operationally focused CIO of the last decade isn’t the digital leader of the future, says Omer Grossman, global CIO at technology specialist CyberArk. This shift in perception is because technology is pervasive across every business area.
Hes leveraging his vendor relationships to keep pace with emerging as well as tried-and-true technologies and practices. Deliver value from generative AI As organizations move from experimenting and testing generative AI use cases , theyre looking for gen AI to deliver real business value. But its no longer about just standing it up.
For its Generative AI Readiness Report, IT services company Avanade surveyed over 3,000 business and IT executives in 10 countries from companies with at least $500 million in annual revenue. Here are key attributes of those who embody this new standard in order to succeed in the current multifaceted business environment.
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. CIOs should create proofs of concept that test how costs will scale, not just how the technology works.”
Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. It says our job as technology leaders can help educate our audience on what is possible and what it will take to get to their goal.
These teams focused on delivering reliable technology capabilities, improving end-user experiences, and establishing data and analytics capabilities. As many organizations were accelerating digital transformation initiatives, the higher-performing teams excelled at change management and agile planning practices.
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. The divestiture trend is most pronounced in the IT sector, Brundage says, because of the need for funding while companies build the technology, infrastructure, and applications to enable AI.
Solving these challenges will require a new approach that centers on integrating digital and electric power technologies. David Sun, Vice President of Huawei and CEO of Electric Power Digitalization at Huawei, highlighted the importance of finding technologies for scenarios and scenarios for technologies. “We
trillion annually — translating this into compelling business language for the board remains a persistent challenge. The more strategic concern isn’t just the cost— it’s that technical debt is affecting companies’ abilities to create new business, and saps the means to respond to shifting market conditions.
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