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Consider 76 percent of IT leaders believe that generative AI (GenAI) will significantly impact their organizations, with 76 percent increasing their budgets to pursue AI. But when it comes to cybersecurity, AI has become a double-edged sword. Data privacy in the age of AI is yet another cybersecurity concern.
Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. Other surveys found a similar gap. Weve been innovating with AI, ML, and LLMs for years, he says.
With advanced technologies like AI transforming the business landscape, IT organizations are struggling to find the right talent to keep pace. According to IDCs July 2024 CIO Sentiment Survey , 26% of CIOs identify recruiting, retaining, and upskilling talent as their biggest challenge to success. Take cybersecurity, for example.
Building a Resilient Framework for the Connected Age As OT environments become more interconnected, organizations can manage operations remotely, enhancing efficiency and enabling greater oversight even from a distance. However, these advancements come with heightened security risks. However, visibility alone is not enough.
Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
In fact, a recent Cloudera survey found that 88% of IT leaders said their organization is currently using AI in some way. Barriers to AI at scale Despite so many organizations investing in AI, the reality is that the value derived from those solutions has been limited.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. AI adoption is ubiquitous but nascent Enthusiasm for AI is strong, with 90% of organizations prioritizing it. Other key uses include fraud detection, cybersecurity, and image/speech recognition.
Many organizations are mortgaging their futures by reallocating IT resources from long-term projects to achieve short-term wins, according to a recent survey of CEOs. Two-thirds of CEOs surveyed by the IBM Institute for Business Value acknowledge raiding long-term IT projects to achieve short-term goals.
Saket Modi is the co-founder and CEO of Safe Security, a cybersecurity and digital business risk quantification platform company. Today’s cybersecurity landscape requires an agile and data-driven risk management strategy to deal with the ever-expanding third-party attack surface. Saket Modi. Contributor. Share on Twitter.
Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
Unsurprisingly, this is leading to staff frustration and burnout, dissatisfied end users and persistent security vulnerabilities. As many as 56% of IT workers 1 say the help desk ticket volume is up, according to a recent survey by software vendor Ivanti. For many, the main channel of interaction with users is the telephone.
Intro: Time was, a call center agent could be relatively secure in knowing who was at the other end of the line. And if they werent, multi-factor authentication (MFA), answers to security questions, and verbal passwords would solve the issue. How fraudsters use audio deepfakes 1. Often, bots are involved in this process.
Deloitte surveyed 2,773 director- to C-suite-level respondents experienced with AI, piloting, or implementing gen AI for the Q4 survey between July and September 2024. Key barriers to entry Concern about regulatory compliance has proven a top inhibitor to organizations developing and deploying gen AI tools and applications.
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. Misunderstanding the power of AI The survey highlights a classic disconnect, adds Justice Erolin, CTO at BairesDev, a software outsourcing provider.
And according to a survey conducted for the 2024 Women in Tech Report by Skillsoft , 31% of women technologists are considering leaving their organizations in the coming 12 months, with 37% considering switching jobs in the next year and only 27% of women in tech saying they were extremely satisfied with their jobs.
If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it. In addition to using AI with modernization efforts, almost half of those surveyed plan to use generative AI to unlock critical mainframe data and transform it into actionable insights.
As organizations around the globe rapidly adopt AI, it is becoming clear that this transformation brings both significant opportunities and serious risks. In the latest McKinsey Global Survey on AI, 65% of participants said their companies regularly used AI, a dramatic increase in a very short period.
Having the right modernization strategy and approach in place can move an organization forward and establish a competitive edge by increasing flexibility, efficiency, and potential. This allows organizations to stay ahead of the game no matter what’s coming down the pike.
In fact, EY’s 202 4 Work Reimagined Survey found that Generative AI (GenAI) adoption skyrocketed from 22% in 2023 to 75% in 2024. Without these critical elements in place, organizations risk stumbling over hurdles that could derail their AI ambitions. The better the data, the stronger the results.
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.
The arrival of emerging technologies like AI puts organizations under new pressure. Global organizations tell IDC that a dearth of skills has directly led to a host of enterprise and business problems. Global organizations tell IDC that a dearth of skills has directly led to a host of enterprise and business problems.
Cybersecurity continues to be a major area for investment among businesses — and VCs. While a decline from the previous year, venture capital funding in the cybersecurity sector totaled $18.5 PitchBook data shows a decline in cybersecurity valuations at the seed and Series A stages in particular.
CIOs rank AI as a top priority alongside cybersecurity for IT departments. However, barriers such as adoption speed and security concerns hinder rapid AI integration, according to a new survey. There is a sense of urgency to leverage AI effectively, but adoption speed and security challenges are hindering efforts.
As organizations continue their digital transformation (DX) journeys, the role of the CIO evolves. As digital transformation becomes a critical driver of business success, many organizations still measure CIO performance based on traditional IT values rather than transformative outcomes.
Cybersecurity and systemic risk are two sides of the same coin. Although it was not a security event, the symptoms and responses all fall into the various categories of the cybersecurity program for any company. Systemic risk and overall cybersecurity posture require board involvement and oversight.
Opus Security , a cloud security orchestration and remediation platform, today emerged from stealth with $10 million in seed funding led by YL Ventures, with participation from Tiger Global and angel investors. ” Har co-founded Opus with Or Gabay, with whom he worked at security orchestration startup Siemplify.
For those organizations with bigger AI ambitions, or in an industry that’s being reinvented by AI, the pace will be faster. A Gartner survey of over 300 CIOs found that on average, only 35% of their AI capabilities will be built by their IT teams. In a second quarter 2024 Gartner survey of over 5,000 digital workers in the U.S.,
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. Over 90% of those surveyed said investments in AI and data were top priorities. The company used the sale to reduce debt and to focus on innovation in cloud, security, and AI markets, it said.
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. Is your organization overdue for an IT systems update? Here are seven signs it may be time to modernize.
Just days later, Cisco Systems announced it planned to reduce its workforce by 7%, citing shifts to other priorities such as artificial intelligence and cybersecurity — after having already laid off over 4,000 employees in February. Several driving factors are behind the mass tech layoffs in recent years.
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.
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. They don’t prioritize DEX for others because the organization hasn’t prioritized improving DEX for the IT team.
According to a 2021 survey from O’Reilly, cloud adoption steadily rose across industries, with 90% of organizations using cloud computing compared to 88% in 2020. The accelerated cloud adoption led to a rise in security issues. Companies moved en masse to the cloud during the pandemic, under pressure to digitally transform.
In a survey of 2,300 IT decision makers that IBM released in December, 47% say theyre already seeing ROI from their AI investments, and 33% say theyre breaking even on AI. According to experts and other survey findings, in addition to sales and marketing, other top use cases include productivity, software development, and customer service.
Ninety percent of CIOs recently surveyed by Gartner say that managing AI costs is limiting their ability to get value from AI. In a recent IFS survey of IT decision-makers in industrial and related industries, 82% of respondents say they’re under significant pressure to adopt AI quickly, he notes. “We
Transformational CIOs recognize the importance of IT culture in delivering innovation, accelerating business impacts, and reducing operational and security risks. Additionally, 84% of leaders believed their organizations had strong teamwork compared to 60% of team members.
Not the type to be satisfied with the status quo, they have set big goals for themselves in the upcoming year, according to countless surveys of IT execs. I am excited about the potential of generative AI, particularly in the security space, she says. CIOs are an ambitious lot. Were embracing innovation, he explains.
This blog was originally published on Security Boulevard. Connecting People, Web Browsers and Security The web browser has transformed significantly in recent years, becoming one of the most used tools for work today. Security infrastructures havent evolved as fast as the browser, making them prone to cyberattacks.
Under pressure to deploy AI within their organizations, most CIOs fear they don’t have the knowledge they need about the fast-changing technology. More than three in five CIOs surveyed by Salesforce say they’re expected to know more about AI than they do, potentially leading to massive and costly deployment mistakes.
Much like finance, HR, and sales functions, organizations aim to streamline cloud operations to address resource limitations and standardize services. Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management.
However, as ecommerce has proliferated, security threats have increased, elevating cybersecurity to a board-level concern. Early cybersecurity threats were limited in their scope and damage, but current threats can ruin a business. Worldwide responses show that attackers are increasingly able to extract more sensitive data.”
While 53% of tech execs see AI agents being core to business operations in the next two years, only 29% of IT practitioners see that coming to pass, according to a new survey from uptime monitoring vendor PagerDuty. Other AI experts have warned organizations about building AI agents without outside help.
As a business executive who has led ventures in areas such as space technology or data security and helped bridge research and industry, Ive seen first-hand how rapidly deep tech is moving from the lab into the heart of business strategy. Business leaders dont need to be technology experts to grasp this shift; they need vision and urgency.
A member of your organization’ssecurity team reads about a new kind of security tool and brings it to the CISO’s attention, who decides that it’s a good investment. The CISO sees a new kind of security threat that requires a different security tool. A colleague recommends a security tool she says is indispensable.
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