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IT leaders know they must eventually deal with technical debt, but because addressing it doesnt always directly result in increased revenue or new capabilities, it can be difficult to get business management to take it seriously. And that has significant implications for how IT shops can approach technical debt.
Most innovators don’t have a technical background, so it’s hard to evaluate the truth of the situation. And unless they have a tech background, they can’t look under the hood themselves. The answer is to engage a trusted outside source for a TechnicalReview – a deep-dive assessment that provides a C-suite perspective.
The United Arab Emirates has taken a bold step by becoming the first country to officially use AI to help draft, review, and update its laws. Announced during a Cabinet meeting led by Sheikh Mohammed bin Rashid Al Maktoum, the initiative introduced a new Regulatory Intelligence Office powered by an advanced AI system.
UIPaths 2025 Agentic AI Report surveyed US IT execs from companies with $1 billion or more in revenue and found that 93% are highly interested in agentic AI for their business. AI agents are valuable across sales, service, marketing, IT, HR, and really all business teams, says Andy White, SVP of business technology at Salesforce.
What is technical debt? Technical debt is the cost accrued over time from technology implementation decisions that emphasize expediency over long-term quality and maintenance. Why is technical debt important? So, is technical debt bad? The question misses the point of its importance.
Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. This technology already exists.” The technology exists, but it’s very nascent,” he says.
Last summer, a faulty CrowdStrike software update took down millions of computers, caused billions in damages, and underscored that companies are still not able to manage third-party risks, or respond quickly and efficiently to disruptions. For companies who had been using CrowdStrike, switching vendors might seem like an obvious solution.
This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. They require fundamentally reimagining how we approach enterprise architecture and technology delivery. The stakes have never been higher.
Speaker: Patrick Dempsey and Andrew Erpelding of ZoomInfo
Advanced search: Narrow the search to find candidates using specialized filters like education, and current companytechnologies. Candidate and company profiles: Preview and expand search results to find a candidate's job history and career experience or a company's details.
In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns. These include everything from technical design to ecosystem management and navigating emerging technology trends like AI.
For some recruitment firms, job growth for tech executive positions is at great heights. specializing in CIOs, CTOs, VP-level senior technology leaders, and executive technology talent. CIOs need to be the business and technology translator. This growth was anticipated, but its encouraging to see a spike in business.
Identifying high-potential talent in tech hiring is one of the most critical challenges organizations face today. With rapid advancements in technology, the demand for skilled, adaptable professionals has never been greater. For instance, a skilled developer might not just debug code but also optimize it to improve system performance.
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. About 524 companies now make up the UK’s AI sector, supporting more than 12,000 jobs and generating over $1.3
Enterprise infrastructures have expanded far beyond the traditional ones focused on company-owned and -operated data centers. This increased complexity means more companies will be relying on IT consultants to help navigate the changes and develop short-term and long-term strategies. What is an IT consultant?
The company said the layoffs were part of “realigning our global workforce.” We shifted a number of technical resources in Q3 to further invest in the EX business as part of this strategic review process. The reality is that a lot of companies did over hire at some point. Others echoed Brue’s AI suspicions.
CEOs and CIOs appear to have conflicting views of the readiness of their organizations’ IT systems, with a large majority of chief executives worried about them being outdated, according to a report from IT services provider Kyndryl. But in conflict with CEO fears, 90% of IT leaders are confident their IT infrastructure is best in class.
Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester said most technology executives expect their IT budgets to increase in 2025.
I do recognize some companies are probably easier than ours to go ahead and do the migration. Vendor allegiance – once critical for many organizations due both to convenience and loyalty – has become a company liability for many. “We needed to plan out this migration,” he said. “It It took about 18 months. You need to plan.
New cyber operations in key sectors Historically, Chinese cyber espionage groups have predominantly targeted organizations from the government, technology, and telecommunications sectors and that continued in 2024. They complicate attribution due to the often short-lived nature of the IP addresses of the nodes being used.
Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. The chatbot wave: A short-term trend Companies are currently focusing on developing chatbots and customized GPTs for various problems. An overview. An LLM can do that too.
In the fast-paced world of tech recruiting, finding the perfect candidate can feel like searching for a needle in a haystack. Resumes can be deceiving, and traditional interview formats may not always give you the full picture of a candidate’s technical abilities. This is where live coding interviews come in.
But as coding agents potentially write more software and take work away from junior developers, organizations will need to monitor the output of their robot coders, according to tech-savvy lawyers. The same thing could happen with software code, even though companies don’t typically share their source code, he says.
COBOL is more than 60 years old, and concerns about maintaining the ancient programming language are on the rise, as many longtime COBOL coders head toward retirement and enterprises across nearly every industry remain beholden to it for mission-critical systems. Youre re-architecting decades of business logic, McKenny says.
Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.
Vibram certainly isn’t an isolated case of a company growing its business through tools made available by the CIO. Emmelibri Group, a subsidy of Italian publishing holding company Messaggerie Italiane, is moving applications to the cloud as part of a complete digital transformation with a centralized IT department.
Virtually every company relied on cloud, connectivity, and security solutions, but no technology organization provided all three. Diamond founded 11:11 Systems to meet that need – and 11:11 hasn’t stopped growing since. They also know that the attack surface is increasing and that they need help protecting core systems.
In today’s rapidly evolving technological landscape, the role of the CIO has transcended simply managing IT infrastructure to becoming a pivotal player in enabling business strategy. With this information, IT can craft an IT strategy that gives the company an edge over its competitors.
However, from a companys existential perspective, theres an even more fitting analogy. We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies. A similar transformation has occurred with data.
On December 11, 2024, OpenAI services experienced significant downtime due to an issue stemming from a new telemetry service deployment. This incident impacted API, ChatGPT, and Sora services, resulting in service disruptions that lasted for several hours.
The acquisition will combine ServiceNows agentic AI and automation strengths with Moveworks frontend AI assistant and enterprise search technology to unlock new experiences for every employee for every corner of the business, ServiceNow said in a statement.
Increasingly, however, CIOs are reviewing and rationalizing those investments. As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system.
For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes. Adopting Operational AI Organizations looking to adopt Operational AI must consider three core implementation pillars: people, process, and technology.
From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. In 2024, a new trend called agentic AI emerged. LLMs by themselves are not agents.
For example, AI agents should be able to take actions on behalf of users, act autonomously, or interact with other agents and systems. As the models powering the individual agents get smarter, the use cases for agentic AI systems get more ambitious and the risks posed by these systems increase exponentially.
They understand that their strategies, capabilities, resources, and management systems should be configured to support the enterprise’s overarching purpose and goals. It allows businesses to be the best technologically enabled version of themselves,” Upchurch says. Here are 11 effective ways to reach that goal.
To be called SAP ERP, private edition, transition option , the company said in a release that it will be available for purchase starting in 2028 and will be active for usage from 2031-2033. Systems that are relevant for the SAP ERP, private edition, transition option, need to be moved to SAP ERP, private edition prior to the end of 2030.
Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks. The new Mozart companion is built using Amazon Bedrock.
Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.
The worldwide push to digital has quickly promoted the IT department from its back-room origins to the upper reaches within any company or organization. So it’s the responsibility of the CIO to not only understand emerging tech but impart the case for how specific approaches to digital and data spur growth.
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. What ROI will AI deliver?
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.
Companies of all sizes face mounting pressure to operate efficiently as they manage growing volumes of data, systems, and customer interactions. The chat agent bridges complex information systems and user-friendly communication. Update the due date for a JIRA ticket. Review and choose Create project to confirm.
Most CIOs and CTOs are bullish on agentic AI, believing the emerging technology will soon become essential to their enterprises, but lower-level IT pros who will be tasked with implementing agents have serious doubts.
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