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If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.
According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1] The foundation of the solution is also important.
We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3 CIOs should consider placing these five AI bets in 2025.
Noting that companies pursued bold experiments in 2024driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester predicts a reset is looming despite the enthusiasm for AI-driven transformations.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in. 📆 October 30th, 2024 at 9:30 AM PT, 12:30 PM ET, 5:30 PM BST
Throughout late 2024, Microsoft continued to expand its agentic offerings with purpose-built agents for specific use cases. There are risks around hallucinations and bias, says Arnab Chakraborty, chief responsible AI officer at Accenture. The data is kept in a private cloud for security, and the LLM is internally hosted as well.
Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. Gartner’s data revealed that 90% of CIOs cite out-of-control costs as a major barrier to achieving AI success.
Call it survival instincts: Risks that can disrupt an organization from staying true to its mission and accomplishing its goals must constantly be surfaced, assessed, and either mitigated or managed. While security risks are daunting, therapists remind us to avoid overly stressing out in areas outside our control.
Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] 4] On their own AI and GenAI can deliver value.
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. The takeaway is clear: embrace deep tech now, or risk being left behind by those who do.
For instance, in 2024, a troubling trend emerged where hackers used AI-powered tools to create highly convincing deepfakes, impersonating CEOs and other C-suite executives in 75% of such attacks. AI systems can analyze vast amounts of data in real time, identifying potential threats with speed and accuracy.
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. Simultaneously, major decisions were made to unify the company’s data and analytics platform.
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
Infor’s Embedded Experiences allows users to create first drafts of text for specific business purposes and summarize insights as well as quickly analyze and interact with data. And its GenAI knowledge hub uses retrieval-augmented generation to provide immediate access to knowledge, potentially from multiple data sources.
After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.
Gain stronger control over data Jae Evans, global CIO and executive vice president at Oracle, is planning to prioritize data control in 2024, and CIOs across industries would be wise to follow suit. “As As a large enterprise, we have vast amounts of data from disparate sources,” she says.
According to a recent survey by Foundry , nearly all respondents (97%) reported that their organization is impacted by digital friction, defined as the unnecessary effort an employee must exert to use data or technology for work. AI-driven asset information management will play a critical role in that final push toward zero incidents.
The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” Here, we detail those and others that comprise eight of the top priorities for CIOs in 2024. Among the various strategies at our disposal, automation stands out as a pivotal solution,” she says. “In
The Global Banking Benchmark Study 2024 , which surveyed more than 1,000 executives from the banking sector worldwide, found that almost a third (32%) of banks’ budgets for customer experience transformation is now spent on AI, machine learning, and generative AI. Among laggards, only 70% think so.
CIOs are under pressure to integrate generative AI into business operations and products, often driven by the demand to meet business and board expectations swiftly. We examine the risks of rapid GenAI implementation and explain how to manage it. Samsung employees leaked proprietary data to ChatGPT.
In 2024, squeezed by the rising cost of living, inflationary impact, and interest rates, they are now grappling with declining consumer spending and confidence. It demands a robust foundation of consistent, high-quality data across all retail channels and systems. But 2025 and 2026 will bear good news, according to Deloitte.
The 2024 Security Priorities study shows that for 72% of IT and security decision makers, their roles have expanded to accommodate new challenges, with Risk management, Securing AI-enabled technology and emerging technologies being added to their plate. Regular engagement with the board and business leaders ensures risk visibility.
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. Simultaneously, major decisions were made to unify the company’s data and analytics platform.
The Cybersecurity Maturity Model Certification (CMMC) serves a vital purpose in that it protects the Department of Defense’s data. This often resulted in lengthy manual assessments, which only increased the risk of human error.” To address compliance fatigue, Camelot began work on its AI wizard in 2023.
Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. Keep reading to learn how to do this.
And in an October Gartner report, 33% of enterprise software applications will include agentic AI by 2033, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. Having clean and quality data is the most important part of the job, says Kotovets. Infrastructure modernization In December, Tray.ai
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. as AI adoption and risk increases, its time to understand why sweating the small and not-so-small stuff matters and where we go from here. The latter issue, data protection, touches every company.
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. Data is the heart of our business, and its centralization has been fundamental for the group,” says Emmelibri CIO Luca Paleari.
Our recent data analysis of AI/ML trends and usage confirms this: enterprises across industries have substantially increased their use of generative AI, across many kinds of AI tools. What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI?
AI allows organizations to use growing data more effectively , a fact recognized by the entire leadership team. Langer believes CIOs should seize this opportunity to inform leadership about AI-driven possibilities. As a support technology, AI works on data that is dependable, proven, and secure,” says Langer.
By all accounts, 2024 will be a good year on the CIO hiring front. 2024 seems to be trending higher for CIO demand,” Licciardello says. Between the clients that he works with, and the recruiters that try to lure him directly, Licciardello says he has some clear thoughts on what organizations are looking for in a CIO hire in 2024.
] Forty-one percent of organizations adopted and used digital platforms for all or most functions in 2024, compared with just 26% in 2023, according to IDC’s May 2024 Future Enterprise Resiliency and Spending Survey, Wave 5.
A rise in VC funding VC funding for cybersecurity startups, especially those utilizing AI/ML, grew again in the first quarter of 2024. Enterprises are investing significant budget dollars in AI startups focused on threat detection, identity verification and management, cloud/data security, and deception security.
We’re thrilled to announce that AWS has been named a Leader in the IDC MarketScape: Worldwide Analytic Stream Processing Software 2024 Vendor Assessment (doc #US51053123, March 2024). There are no servers and clusters to manage, and there is no compute and storage infrastructure to set up. You pay only for the resources you use.
Large language models (LLMs) are very good at spotting patterns in data of all types, and then creating artefacts in response to user prompts that match these patterns. Assuming a technology can capture these risks will fail like many knowledge management solutions did in the 90s by trying to achieve the impossible.
It’s especially poignant when we consider the extent to which financial data can steer business strategy for the better. This is the impact of data-driven financial analysis – or what is termed FP&A – in the business context. billion is lost to low-value, manual data processing and management while $1.7
The report underscores a growing commitment to AI-driven innovation, with 67% of business leaders predicting that gen AI will transform their organizations by 2025. The data also shows growing momentum around AI agents, with over half of organizations exploring their use.
Challenge: Consumers want to shop on their own terms Recent research shows that 77% of consumers today buy through a mix of digital and physical shopping, while just 17% buy only online or only in physical stores (IDC Retail Insights: Consumer Sentiment Survey, 2024 — Findings and Implications, July 2024). IDC, June 2024).
In 2024, sustainability is taking center stage. These efforts are often driven by stakeholder expectations, regulatory requirements and the recognition that sustainable business practices can improve the bottom line. Businesses, governments and individuals now see sustainability as a global imperative.
The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.
As regulatory scrutiny, investor expectations, and consumer demand for environmental, social and governance (ESG) accountability intensify, organizations must leverage data to drive their sustainability initiatives. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.
However, amidst the allure of newfound technology lies a profound duality—the stark contrast between the benefits of AI-driven software development and the formidable security risks it introduces. AI-powered applications are vast and varied, but with them also comes significant risk. So, how can an organization defend itself?
In IDCs April 2024 CIO Poll Survey of 105 senior IT professionals and CIOs, developing better IT governance and enterprise architecture emerged as one of the top priorities for 2024, ranking fourth. It is fundamental for AI and essential for reducing cybersecurity risks or streamlining cloud migration processes, among other things.
Embrace the future-proofing imperative Eighty-three percent of IT leaders and 88% of LOB leaders expect full-year spending in 2024 to be higher or in line with original 2024 budgets despite inflation and potential recession concerns, according to IDC’s Future Enterprise Resiliency and Spending Survey, Wave 3 (March 2024).
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