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Most IT and business executives recognize the necessity of close alignment. What really matters is determining how to fit every function together to achieve unified goals — chiefly IT and its business counterparts, given the importance technology has organizationwide. Here are 11 effective ways to reach that goal.
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. Understanding the competitive landscape is also essential.
AI agents are powered by the same AI systems as chatbots, but can take independent action, collaborate to achieve bigger objectives, and take over entire business workflows. The next evolution of AI has arrived, and its agentic. The technology is relatively new, but all the major players are already on board.
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. Successful pilot projects or well-performing algorithms may give business leaders false hope, he says. Thats where the friction arises.
Businesses are realizing that it isn’t just about the volume of data they have available; it’s about the accuracy of information. 64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions.
Even in the case of moderate to low risk, technical debt impacts can change quickly as business needs evolve. Another question is: What separates out debt thats fixed opportunistically versus critical debt that could cripple the business?
We activate the AI just in time,” says Sastry Durvasula, chief information and client services officer at financial services firm TIAA. The cost of AI can be astronomically high and not always justified in terms of business value,” notes Durvasula. “The timeliness is critical. The expense of gen AI processing is at least as important.
But the work to get business leaders, stakeholders, and end-users to shift to agile mindsets mostly got stuck. People in business functions didnt want to give up their project mindsets and control of getting what they needed from IT in the timelines required. But many enterprises stopped their agile transformations at this layer.
The past year was another one of rapid change, as economic cycles, business trends, and technology itself evolved at a breakneck pace. We will need to drive the conversation away from coming up with ways to implement AI to [answering], What are the top N business needs, and how might we address them using AI? Heres what they say.
Business and IT leaders agree that improving the “digital employee experience” (DEX) results in better productivity and workplace morale. But recent research by Ivanti reveals an important reason why many organizations fail to achieve those benefits: rank-and-file IT workers lack the funding and the operational know-how to get it done.
IT may be central to modern existence, but the people and processes of IT remain a mystery to most business executives and colleagues. I asked a group of business executives to take out a blank sheet of paper, draw a big circle, and label it IT People and Processes. Its time to change this. To combat this, CIOs need to humanize IT.
Jeff Schumacher, CEO of artificial intelligence (AI) software company NAX Group, told the World Economic Forum : “To truly realize the promise of AI, businesses must not only adopt it, but also operationalize it.” Most AI hype has focused on large language models (LLMs). And maybe most importantly, it can influence leadership.
That’s great, because a strong IT environment is necessary to take advantage of the latest innovations and business opportunities. Leaders who adopt a crawl-walk-run approach, with thoughtful risk-taking and a strategic focus on actions and results, maximize the business value from IT modernization.”
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
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. This tool aims to help companies make informed decisions as they develop and implement AI technologies.
These large-scale, asset-driven enterprises generate an overwhelming amount of information, from engineering drawings and standard operating procedures (SOPs) to compliance documentation and quality assurance data. AI-driven asset information management will play a critical role in that final push toward zero incidents.
AI agents are powered by gen AI models but, unlike chatbots, they can handle more complex tasks, work autonomously, and be combined with other AI agents into agentic systems capable of tackling entire workflows, replacing employees or addressing high-level business goals. But it doesnt help when a legacy system operates in batch mode.
One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age.
One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age.
We havent realistically begun updating and normalizing the wider semi- and unstructured data applications that pervade business processes and that are exactly the data and business flows that can most benefit from the latest waves of AI innovation. of their IT budgets on tech debt at that time. But they can be modernized.
What if artificial intelligence (AI) could prevent 1,000 potential outages and improve IT service health and delivery by more than 75%? IT teams would sleep better, but thats just the start. The companys more recent adoption of BMC ServiceOps has transformed change management processes and IT services management (ITSM) success for his organization.
Having spent 15 years on the business side and then moving to R&D and then moving into tech and ops and all these other things, Ive just never felt that I had to leave the industry to keep growing, and thats been spectacular. Amy Baker: I went into banking thinking it would be a stable career. So, I thought, banking would be stable.
Process mining encompasses both data science and process management, providing a way to analyze digital footprints and event logs so that organizations can identify bottlenecks and other issues in core business processes. 2 behind driving business innovation as CIOs’ most anticipated focus beginning next year. That figure polled No.
Question the status quo and learn from the best while critically dealing with hype topics such as AI in order to make informed decisions,” he adds. Then there’s Standardization First to harmonize global business processes and create a leaner IT landscape. It all starts with a sense of presence, both remote and local.
In the first half of next year, they will also be able to ask Joule complex questions about their pay slips and receive contextually relevant information. Enhancements to SAP’s AI copilot, Joule, which allow it to guide employees through the onboarding process. he asked. “It This need is only increasing with the prevalence of generative AI.
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.
With advanced technologies like AI transforming the business landscape, IT organizations are struggling to find the right talent to keep pace. The problem isnt just the shortage of qualified candidates; its the lack of alignment between the skills available in the workforce and the skills organizations need. Take cybersecurity, for example.
Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. We’re trying to get the AI to have the same knowledge as the best employee in the business,” he says.
A 1958 Harvard Business Review article coined the term information technology, focusing their definition on rapidly processing large amounts of information, using statistical and mathematical methods in decision-making, and simulating higher order thinking through applications.
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. IT managers are often responsible for not just overseeing an organization’s IT infrastructure but its IT teams as well.
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. As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago.
Retailers are working hard to attract and retain these employees via several methods, including: Enabling employees to use wearables or even their own mobile devices to perform scanning, mobile point of sale, clienteling, access to product information and location, and inventory and fulfillment information.
Most IT and information security leaders are very familiar with the term VUCA. Amid a growing threat landscape, these CISOs emphasized the need for cybersecurity teams to understand and speak the language of the business, with a strategic eye toward driving greater customer and stakeholder value.
From a business thats been stable and consistent for many years, its now in a position to review what the business model should look like in the future, and do whats necessary to transition in order to remain not just relevant but competitive. But despite that, we have to find new ways to be profitable in the future.
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.
Salima Bhimani has been encouraging the responsible and ethical use of AI for several years as Alphabet’s first chief strategist and director for inclusive and responsible technology, business, and leaders from 2017 to 2023. The opportunity in front of us is not to just ride the wave of AI,” Bhimani says. “The
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. The results have been significant, particularly when considering that Indeed sends about 20 million such emails a day.
Difficulties estimating or demonstrating the value of AI technologies to the business have been or will be a top barrier to their implementation, according to a recent Gartner survey of more than 700 IT leaders at organizations that have adopted or plan to adopt AI. Nearly half of respondents pointed to challenges with showing its value.
With business data in silos or hidden in dark corners of an organization’s IT systems, modern AI tools won’t have the information they need to return good results, he notes. Nearly four in 10 CIOs surveyed recently in a recent CIO Sentiment Survey by IDC said they expect to overspend on digital infrastructure over the next 18 months.
Joining an IT leadership organization CIOs not only establish friendly relationships with other tech leaders but also gain valuable insights on the latest IT, business, and leadership trends. To help you on your networking path, here’s an overview of six major associations and what they can offer to help move your career forward.
This approach to better information can benefit IT team KPIs in most areas, ranging from e-commerce store errors to security risks to connectivity outages,” he says. This scalability allows you to expand your business without needing a proportionally larger IT team.” Better employee engagement leads to employee retention.”
Despite the promise generative AI holds for boosting corporate productivity, closing the gap between its potential and business value remains one of CIOs’ chief challenges. Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption.
This included systems that, developed in Cobol, connected private information from a “dizzying number of agencies” — which is why the Government Accountability Office in 2019 flagged it as among the 10 systems most in need of modernization. As a digital transformation leader and former CIO, I carry a healthy dose of paranoia.
According to Gartner, an agent doesn’t have to be an AI model. It can also be a software program or another computational entity — or a robot. When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. And, yes, enterprises are already deploying them.
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