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It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. We ought to heed Collingridge’s warning that technology evolves in uncertain ways. We ought to heed Collingridge’s warning that technology evolves in uncertain ways.
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. Official projections estimate the market could grow to $8.4 billion by 2035.
For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture.
According to Richard Kulkarni, Country Manager for Quest, a lack of clarity concerning governance and policy around AI means that employees and teams are finding workarounds to access the technology. Some senior technology leaders fear a Pandoras Box type situation with AI becoming impossible to control once unleashed.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. That’s where data-driven construction comes in.
This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. To respond, CIOs are doubling down on organizational resilience.
Data can be effectively monetized by transforming it into a product or service the market values, says Kathy Rudy, chief data and analytics officer with technology research and advisory firm ISG. It requires ideation, market research, pricing analysis, and go-to-market plans.
It’s a hot topic, and as technologies continue to evolve at a rapid pace, the scope of the cloud continues to expand. In this article, we have gathered the 12 most prominent challenges of cloud computing that will deliver fresh perspectives related to the market. The next part of our cloud computing risks list involves costs.
AI technology has the capacity to revolutionize various sectors, attracting investors keen on capitalizing on its transformative potential. However, it’s crucial to recognize the associated risks and conduct thorough research before venturing into this dynamic market.
South Korea’s sudden political upheaval has raised fresh concerns for its economy and global supply chains, with analysts warning of potential disruptions to its critical technology exports. of the global memory semiconductor market, with a DRAM market share of 70.5% and a NAND market share of 52.6%.
Digital transformation of your business is possible when you can use emerging automation, Machine Learning (ML), and Artificial Intelligence (AI) technologies in your marketing. However, when it comes to digital transformation in marketing, there is a larger revolution in how marketers use modern tools and technologies.
CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. Why focus on the marketing department? CIOs should consider placing these five AI bets in 2025.
The technology is relatively new, but all the major players are already on board. There are risks around hallucinations and bias, says Arnab Chakraborty, chief responsible AI officer at Accenture. In December, Langbase released a state of AI agents report, based on over 3,400 responses from executives and technology professionals.
How does a business stand out in a competitive market with AI? The transformative power of AI is already evident in the way it drives significant operational efficiencies, particularly when combined with technologies like robotic process automation (RPA). Above all, robust governance is essential.
Hes leveraging his vendor relationships to keep pace with emerging as well as tried-and-true technologies and practices. One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. She recognizes that the possibilities of AI grow by the day but so do the risks.
Always on the cusp of technology innovation, the financial services industry (FSI) is once again poised for wholesale transformation, this time with Generative AI. Financial institutions have an unprecedented opportunity to leverage AI/GenAI to expand services, drive massive productivity gains, mitigate risks, and reduce costs.
As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. 1] Retaining outdated technology may seem like a cautious approach but there are mounting inherent dangers. The solutionGenAIis also the beneficiary.
Cybersecurity and systemic risk are two sides of the same coin. As we saw recently with the CrowdStrike outage, the interconnected nature of enterprises today brings with it great risk that can have a significant negative effect on any company’s finances. This should be no surprise since the global average cost of a data breach is $4.88
The updated measures have also added 140 Chinese entities to a blacklist, targeting firms seen as pivotal to Beijing’s ambitions for semiconductor self-sufficiency through advanced manufacturing technologies. “We
By 2027, 70% of healthcare providers will include emotional-AI-related terms and conditions in technology contracts or risk billions in financial harm. GenAI also allows for new revenue streams by bringing products to market faster while delivering better customer experiences and automating processes.
This trajectory highlights the need for more efficient and safer methods of handling hazardous materials to meet both market and regulatory demands. These risks underline the importance of robust storage and transportation systems designed to minimise hazards.
Banks hope these shifts will enable them to innovate faster and work more efficiently in a rapidly changing market. Even beyond customer contact, bankers see generative AI as a key transformative technology for their company. Employee productivity: In 55% of banks, gen AI supports employees, for example in the form of assistants.
Half of the organizations have adopted Al, but most are still in the early stages of implementation or experimentation, testing the technologies on a small scale or in specific use-cases, as they work to overcome challenges of unclear ROI, insufficient Al-ready data and a lack of in-house Al expertise. Its going to vary dramatically.
Agentic AI, the more focused alternative to general-purpose generative AI, is gaining momentum in the enterprise, with Forrester having named it a top emerging technology for 2025 in June. The technology is in its early days, and several questions remain open chief among them, how AI agents will be priced.
Other companies are also finding that open source gen AI models can offer more flexibility, security, and cost advantages, although there are risks. Meta originally went to market with a number of smaller models, says Sarer. And the market share numbers support this. You get more control over your costs.
The global healthcare cybersecurity market is set to reach $58.4 For Kevin Torres, trying to modernize patient care while balancing considerable cybersecurity risks at MemorialCare, the integrated nonprofit health system based in Southern California, is a major challenge. So there was a very real gap in our defenses.”
Set clear, measurable metrics around what you want to improve with generative AI, including the pain points and the opportunities, says Shaown Nandi, director of technology at AWS. A second area is improving data quality and integrating systems for marketing departments, then tracking how these changes impact marketing metrics.
More than half of respondent organizations identify as “mature” adopters of AI technologies: that is, they’re using AI for analysis or in production. The sample is far from tech-laden, however: the only other explicit technology category—“Computers, Electronics, & Hardware”—accounts for less than 7% of the sample.
From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Adopting Operational AI Organizations looking to adopt Operational AI must consider three core implementation pillars: people, process, and technology.
Taiwan Semiconductor Manufacturing Company (TSMC) has said it is unlikely to equip its new US plant in Arizona with its most advanced chip technology ahead of its Taiwan factories, raising concerns about supply-chain hurdles for tech companies. Delays in accessing modern technology may postpone those launch dates.
Importantly, where the EU AI Act identifies different risk levels, the PRC AI Law identifies eight specific scenarios and industries where a higher level of risk management is required for “critical AI.” The code of conduct is directed by 11 guiding principles, many of which focus on risks, vulnerabilities, security, and protections.
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. We’re in publishing, but it’s the accompanying services that differentiate us on the market; the technology component is what gives value to our business.”
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. How do we expand the benefits of this technology to what we’re trying to achieve as a business?
DeepSeeks advancements could lead to more accessible and affordable AI solutions, but they also require careful consideration of strategic, competitive, quality, and security factors, says Ritu Jyoti, group VP and GM, worldwide AI, automation, data, and analytics research with IDCs software market research and advisory practice.
These technologies can produce more content that everyone needs to consume and be aware of,” says Anita Woolley, professor at Carnegie Mellon University. And we’re at risk of being burned out.” Workday announced new AI agents to transform HR and finance processes, and Google issued more AI-powered advertising and marketing tools.
This shift not only reduces the chances of human error but also elevates the quality of outputs across various departments, which reflects a broader trend of harnessing technology to drive meaningful transformation in the workplace. Such investments position enterprises to respond more effectively to market changes and customer demands.
As Robert Blumofe, chief technology officer at Akamai Technologies, told The Wall Street Journal recently, “The goal is not to solve the business problem. These technologies often do not undergo a complete vetting process, are not inventoried, and stay under the radar. The goal is to adopt AI.”
With the cloud being an inevitable part of enterprise digital transformation journeys, IT leaders must keep on top of the latest developments in the cloud market to better predict downstream impacts on their roadmaps. Here is a closer look at recent and forecasted developments in the cloud market that CIOs should be aware of.
Augmenting employees, not replacing them Whether its through cutting costs, innovating new products and services or improving the customer experience, building a competitive advantage is at the core of most technology deployments, and AI is no different. This year we saw online education giant Chegg lose 99% of its market value, or $14.5
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. Business risk (liabilities): “Our legacy systems increase our cybersecurity exposure by 40%.”
For CIOs tasked with managing IT budgets while driving technological innovation, balancing these costs against the benefits of GenAI is essential. Lets begin by examining the specific cost-related concerns CIOs face when adopting GenAI technologies. Focus on small-scale initiatives with clear objectives to demonstrate value early.
Two years of experimentation may have given rise to several valuable use cases for gen AI , but during the same period, IT leaders have also learned that the new, fast-evolving technology isnt something to jump into blindly. Use a mix of established and promising small players To mitigate risk, Gupta rarely uses small vendors on big projects.
While cloud risk analysis should be no different than any other third-party risk analysis, many enterprises treat the cloud more gently, taking a less thorough approach. Interrelations between these various partners further complicate the risk equation. That’s where the contract comes into play.
Learn more about IDC’s research for technology leaders OR subscribe today to receive industry-leading research directly to your inbox. International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the technologymarkets.
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