logo
C-Suite misalignment slows GenAI adoption

C-Suite misalignment slows GenAI adoption

The Sun3 days ago

KUALA LUMPUR: NTT Data, a global leader in digital business and technology services, yesterday launched its new report The AI Security Balancing Act: From Risk to Innovation, highlighting the opportunities and risks AI presents in cybersecurity.
The findings show a misalignment among C-Suite leaders when it comes to business goals and operational readiness for GenAI deployment.
The report, which includes data from an NTT Data survey of more than 2,300 senior GenAI decision makers, comprising 1,500 C-Suite leaders across 34 countries, found that while CEOs and business leaders are committed to GenAI adoption, CISOs (chief information security officers) and operational leaders lack the necessary guidance, clarity and resources to fully address security risks and infrastructure challenges associated with deployment.
Nearly all (99%) C-Suite executives are planning further GenAI investments over the next two years, with 67% of CEOs planning significant commitments.
In parallel, 95% of CIOs (chief information officers) and CTOs (chief technology officers) report that GenAI has already driven, or will drive, greater cybersecurity investments, with organisations ranking improved security as one of the top three business benefits realised from GenAI deployment in the last 12 months.
Yet, even with this optimism, there is a notable disconnect between strategic ambitions and operational execution with nearly half of CISOs (45%) expressing negative sentiments toward GenAI adoption.
More than half (54%) of CISOs say internal guidelines or policies on GenAI responsibility are unclear, yet only 20% of CEOs share the same concern – revealing a stark gap in executive alignment.
Despite feeling cautious about the deployment of GenAI, security teams still acknowledge its business value.
In fact, 81% of senior IT security leaders with negative sentiments still agree GenAI will boost efficiency and impact the bottom-line.
NTT Data's research further reveals a critical gap between leadership's vision and the capabilities of their teams.
While 97% of CISOs identify as decision makers on GenAI, 69% acknowledge that their teams lack the necessary skills to work with the technology.
In addition, only 38% of CISOs say their GenAI and cybersecurity strategies are aligned compared to 51% of CEOs.
Adding to the complexity, 72% of organisations surveyed still lack a formal GenAI usage policy and just 24% of CISOs strongly agree that their organisation has a robust framework for balancing risk with value creation.
Beyond internal misalignment, 88% of security leaders said legacy infrastructure is greatly affecting business agility and GenAI readiness, with modernising IoT, 5G and edge computing identified as essential for future progress.
To navigate these obstacles, 64% of CISOs are prioritising
co-innovation with strategic IT partners rather than relying on standalone AI solutions.
Notably, security leaders top criteria when assessing GenAI technology partners is end-to-end GenAI service offerings.
'As organisations accelerate GenAI adoption, cybersecurity must be embedded from the outset to reinforce resilience. While CEOs champion innovation, ensuring seamless collaboration between cybersecurity and business strategy is critical to mitigating emerging risks,' said Sheetal Mehta, senior vice-president and global head of cybersecurity at NTT Data Inc.
'A secure and scalable approach to GenAI requires proactive alignment, modern infrastructure and trusted co-innovation to protect enterprises from emerging threats while unlocking AI's full potential.'
'Collaboration is highly valued by line-of-business leaders in their relationships with CISOs.
'However, disconnects remain, with gaps between the organisation's desired risk posture and its current cybersecurity capabilities,' said Craig Robinson, research vice-president, security services at IDC.
'While the use of GenAI clearly provides benefits to the enterprise, CISOs and Global Risk and Compliance leaders struggle to communicate the need for proper governance and guardrails, making alignment with business leaders essential for implementation.'

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Artificial Intelligence (A.I.) in Life Science: New Survey of 408 Researchers Reveals Split Sentiment, Surging Adoption, and Rising Trust Barriers
Artificial Intelligence (A.I.) in Life Science: New Survey of 408 Researchers Reveals Split Sentiment, Surging Adoption, and Rising Trust Barriers

Malaysian Reserve

time3 hours ago

  • Malaysian Reserve

Artificial Intelligence (A.I.) in Life Science: New Survey of 408 Researchers Reveals Split Sentiment, Surging Adoption, and Rising Trust Barriers

ARLINGTON, Va., June 20, 2025 /PRNewswire/ — New survey data from 408 global scientists and researchers reveals a rapid increase in AI adoption—alongside mounting hesitation around trust, training, and usability. As budgets tighten and workflow efficiency becomes more critical, scientists are both accelerating the use of AI and raising red flags about its limitations. The latest findings from BioInformatics' Beyond the Bench series uncover how academic, government, and industry researchers are evaluating and integrating AI into their tasks and workflows. While 87% of professionals report using AI for work-related research tasks—a sharp increase from 75% in 2023—the survey also exposes rising concerns around data fidelity, cybersecurity risks, and the readiness of current AI solutions for complex life science environments. This snapshot of market sentiment arrives at a pivotal moment, as companies seek faster insights and operational efficiencies but face institutional barriers to confident AI implementation. Key Insights from the AI in Life Sciences Survey: AI adoption is high, but value varies: 87% of researchers report using AI in their workflows, yet only 27% of avid users say it brings high value. Top providers gaining traction: Scientists identified Microsoft, Thermo Fisher Scientific, and Google DeepMind as leading organizations in developing or deploying AI in life sciences. Efficiency drives demand: Most users cite faster processing, improved throughput, and time savings as key benefits. Training and infrastructure gaps persist: Lack of regulatory clarity, insufficient user training, and organizational readiness are major hurdles to adoption. Click here to download Perceptions of AI in Life Science Survey Data 'As life science organizations look to AI to drive productivity, these findings show that value is conditional,' said Richa Singh, VP of Market Insights at BioInformatics. 'Vendors must address usability, trust, and real-world application if they want adoption to translate into impact.' About Beyond the Bench Beyond the Bench is a free monthly intelligence series created by BioInformatics to help life science and diagnostics companies keep pace with shifting customer sentiment and commercial priorities. Powered by the Science Advisory Board—BioInformatic's proprietary network of more than 55,000 qualified life science professionals—each report delivers timely, survey-based insights into the market dynamics shaping product strategy, messaging, and customer engagement. Click here to subscribe. Access & Get Involved Download the AI in Life Science Free Data Highlight – Explore how your customers perceive AI, what they need, and where adoption is stalling. Inside the Minds of Scientists: How AI is Changing Life Science Research: Access the webinar on demand & download the full slide deck for deeper insights. Join the Science Advisory Board – Participate in future surveys and shape the future of life science research. About BioInformatics BioInformatics, part of the Science and Medicine Group, is a leading market research and advisory firm serving the life science and diagnostic industries. The company delivers custom and syndicated research powered by a proprietary global panel of more than 55,000 professionals. With deep domain expertise and real-time market access, BioInformatics enables commercial teams to make better, faster, and more strategic decisions.

Outdated Inventory Systems Are Costing Retailers: Info-Tech Research Group Publishes Insights on How AI Can Make a Difference
Outdated Inventory Systems Are Costing Retailers: Info-Tech Research Group Publishes Insights on How AI Can Make a Difference

Malaysian Reserve

time5 hours ago

  • Malaysian Reserve

Outdated Inventory Systems Are Costing Retailers: Info-Tech Research Group Publishes Insights on How AI Can Make a Difference

Global research and advisory firm Info-Tech Research Group has published new research insights to help retailers leverage AI effectively amidst evolving supply chain and inventory management challenges. The firm's resource walks retail industry IT leaders through seven steps to develop AI strategies that optimize stock levels, streamline operations, and respond faster to market changes. TORONTO, June 20, 2025 /PRNewswire/ – Inventory has become one of retail's most expensive guessing games. As customer expectations evolve faster than supply chains can respond, retailers are often stuck choosing between empty shelves and excess stock, both of which erode margins. In response to these growing industry challenges for organizations and their IT teams, Info-Tech Research Group has published Build Your AI Strategy for Retail Inventory Management, a practical blueprint that helps retailers transition from outdated inventory methods to intelligent, data-driven operations. The global research and advisory firm's new resource outlines how industry IT leaders can apply AI to improve forecasting, optimize stock levels, and deliver measurable performance gains. Adoption Challenges Are Slowing AI Integration in Retail Inventory Systems Info-Tech reports in its recently published resource that despite the clear benefits of AI in transforming retail inventory management, many organizations face significant challenges in adoption. The firm's research insights highlight that aligning the business stakeholders to develop a cohesive AI strategy remains a common hurdle, especially when it involves addressing existing inventory limitations and identifying critical gaps. Additionally, realizing AI's full potential often requires mature data infrastructure and advanced system capabilities that not all retailers have in place. 'Inventory management applications that are AI-driven can deliver where traditional inventory management falls short,' says Donnafay MacDonald, research director at Info-Tech Research Group. 'By providing real-time insights backed by big data, these applications enable retailers to respond to market changes through predictive forecasts that reduce waste, improve operational efficiency, and enhance customer satisfaction.' Info-Tech Recommends a Seven-Step AI Implementation Framework for Retail IT Leaders To support IT and business leaders in overcoming these barriers, Info-Tech offers a clear, step-by-step framework featuring a practical use-case library. The blueprint outlines seven key steps to guide retail IT leaders in developing and executing an AI strategy tailored to their inventory needs. These include: Formulating an AI strategy aligned to business goals. Define how AI will drive key objectives such as boosting customer satisfaction, cutting costs, or increasing agility and set clear success metrics. Establishing responsible AI principles. Put ethical, privacy, and governance guardrails in place to ensure transparent, fair, and secure AI solutions. Launching targeted AI initiatives. Start with pilots such as demand forecasting or automated replenishment to prove value and build momentum. Building a use case library. Catalog specific applications such as dynamic pricing or shelf space optimization with defined benefits, data needs, and technical requirements. Evaluating value and feasibility. Estimate ROI, resource demands, and risks for each use case to spotlight quick wins and flag longer term projects. Prioritizing projects. Rank initiatives by impact, effort, and risk so teams invest where they will see the fastest, biggest returns. Mapping out an AI roadmap. Sequence pilots and rollouts with clear milestones for data readiness, model validation, and performance reviews. InfoTech advises that by addressing longstanding challenges in inventory management, retailers have an opportunity to adopt smarter, more resilient systems that reflect the realities of today's retail environment. With competitors already incorporating AI into their everyday operations, the pressure to evolve is intensifying for IT leaders. The firm's blueprint provides retailers with straightforward, actionable guidance to implement AI in a way that supports business goals without adding unnecessary complexity. Info-Tech explains that with the right tools and direction, retailers can improve product availability, streamline operations, and respond to demand shifts with greater confidence and control. For exclusive and timely commentary from Donnafay MacDonald, an expert in the retail sector, and access to the complete Build Your AI Strategy for Retail Inventory Management blueprint, please contact pr@ About Info-Tech Research GroupInfo-Tech Research Group is one of the world's leading research and advisory firms, serving over 30,000 IT and HR professionals. The company produces unbiased, highly relevant research and provides advisory services to help leaders make strategic, timely, and well-informed decisions. For nearly 30 years, Info-Tech has partnered closely with teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations. To learn more about Info-Tech's divisions, visit McLean & Company for HR research and advisory services and SoftwareReviews for software buying insights. Media professionals can register for unrestricted access to research across IT, HR, and software and hundreds of industry analysts through the firm's Media Insiders program. To gain access, contact pr@ For information about Info-Tech Research Group or to access the latest research, visit and connect via LinkedIn and X.

China has dealt with over 3,500 non-compliant AI products since April
China has dealt with over 3,500 non-compliant AI products since April

The Star

time8 hours ago

  • The Star

China has dealt with over 3,500 non-compliant AI products since April

BEIJING, June 20 (Xinhua) -- China's cyberspace watchdogs have addressed issues with over 3,500 artificial intelligence (AI) products that were not compliant with relevant rules since April, including mini-programs, web applications and AI agents. This is a result of a campaign launched in April, targeting the abuse of AI technology in forms such as deepfake face-swapping and voice-cloning that infringes on public interests, as well as the failure to properly label AI-generated content that has misled the public, according to the Cyberspace Administration of China (CAC) on Friday. More than 960,000 items with illegal or harmful content were removed from the internet, and over 3,700 related accounts were shut down over the period, the CAC said. During this phase, the CAC instructed local cyberspace authorities to intensify their actions against non-compliant AI products, and to cut off their marketing and traffic channels. It urged major websites and platforms to strengthen their technical safeguards. Efforts were also made to accelerate the implementation of labeling regulations for AI-generated content. In the next phase of the campaign, the CAC will focus on prominent issues such as AI-generated rumors and vulgar online content, build a technical monitoring system, and standardize sanction protocols to maintain a healthy online environment and steer AI development in a more positive direction.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store