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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.
The 2024 Board of Directors Survey from Gartner , for example, found that 80% of non-executive directors believe their current board practices and structures are inadequate to effectively oversee AI. The time for experimentation and seeing what it can do was in 2023 and early 2024. The world plunged headfirst into the AI revolution.
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.
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.
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.
Third, in the CDO Agenda: 2024: Navigating Data and Generative AI Frontiers , 57% of respondents haven’t changed their data environments to support generative AI. In the SANS 2023 DevSecOps Survey , less than 22% of respondents patched and resolved critical security risks and vulnerabilities in under two days.
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
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.
This post describes how HEMA used Amazon DataZone to build their data mesh and enable streamlined data access across multiple business areas. It explains HEMAs unique journey of deploying Amazon DataZone, the key challenges they overcame, and the transformative benefits they have realized since deployment in May 2024.
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. Data integration challenges Indicium, a global data services company, is a digital native with modern platforms.
The CIO and CMO partnership must ensure seamless system integration and data sharing, enhancing insights and decision-making. To drive gen-AI top-line revenue impacts, CIOs should review their datagovernance priorities and consider proactive datagovernance and dataops practices that go beyond risk management objectives.
AI agents topped Forresters 2024 trend list, and Salesforce expects one billion in use by the end of fiscal year 2026. Think summarizing, reviewing, even flagging risk across thousands of documents. And around 45% also cite datagovernance and compliance concerns.
One of the sessions I sat in at UKISUG Connect 2024 covered a real-world example of data management using a solution from Bluestonex Consulting , based on the SAP Business Technology Platform (SAP BTP). Impact of Errors : Erroneous data posed immediate risks to operations and long-term damage to customer trust.
The healthcare industry faces arguably the highest stakes when it comes to datagovernance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of datagovernance.
According to Informaticas CDO Insights 2025 , 87% of data leaders expect increased investment in generative AI and datagovernance, yet only a fraction are leveraging these advancements for ESG efforts. Additionally, 97% of CDOs struggle to demonstrate business value from sustainability-focused AI initiatives.
Newly released research from SASs Data and AI Pulse Survey 2024 Asia Pacific finds that only 18% of organisations can be categorised as AI leaders, where the organisation has an AI strategy and long-term investment plans in place. Issues around datagovernance and challenges around clear metrics follow the top challenge areas.
Nearly half (49%) of IT leaders responding to the 2024 State of the CIO Study from Foundry, publisher of CIO.com, say they expect to play more of a strategic role in the upcoming years, with another 36% anticipating a heavy emphasis on transformational responsibilities. Risk management came in at No. For Rev.io
While digital initiatives and talent are the board directors’ top strategic business priorities in 2023-2024, IT spending is forecasted to grow by only 2.4% Some IT organizations elected to lift and shift apps to the cloud and get out of the data center faster, hoping that a second phase of funding for modernization would come.
The volume of shadow AI is staggering, according to research from Cyberhaven, a maker of data protection software. According to its spring 2024 AI Adoption and Risk Report , 74% of ChatGPT usage at work is through noncorporate accounts, 94% of Google Gemini usage is through noncorporate accounts, and 96% for Bard.
IDC, BARC, and Gartner are just a few analyst firms producing annual or bi-annual market assessments for their research subscribers in software categories ranging from data intelligence platforms and data catalogs to datagovernance, data quality, metadata management and more. Quest is positioned as a contender.]
As threats increase and privacy regulations become more stringent, businesses need more control over datagovernance. Repatriation can reduce the risk of breaches and streamline compliance with regulations like GDPR or HIPAA. Applications with low-latency requirements will perform better on-prem or in private data centers.
Salesforce’s findings gibe with IDC’s Worldwide C-Suite Survey 2023-2024 , released in September. But the enthusiasm must be tempered by the need to put data management and datagovernance in place. More than two-thirds of technical leaders expect data volumes to increase 22% on average over the next year.
Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. The Role of AI in Banking 2024 continues to witness the rapid development of AI and its applications, with GenAI leading the charge.
A 2024 survey by Monte Carlo and Wakefield Research found that 100% of data leaders feel pressured to move forward with AI implementations even though two out of three doubt their data is AI-ready. Those organizations are sailing into the AI storm without a proper compass – a solid enterprise-wide datagovernance strategy.
Results from Foundry/CIO.com’s 2024 State of the CIO survey enforce this finding, with AI vaulting to the top slot of enterprise CIO’s hardest-to-hire roles. And they need people who can manage the emerging risks and compliance requirements associated with AI. Yet 75% say they can’t find the talent they need.
Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.
The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. Companies have been stuffing data into SharePoint and other systems for decades,” says Gordon Allott, president and CEO of GetK3. “It
Research is under way to correct biases, using synthetic data to address attributes such as gender, race, and ethnicity, he says, “but there will always be a need for a human-centric lens to be applied.” This team establishes the company’s risk tolerance, acceptable use cases and restrictions, and applicable disclosures.
While the scope of ESG is of course much broader than environmental sustainability, the need for speed here is particularly heightened as the SEC moves to enact rules that will require publicly traded companies to disclose their emissions data as early as 2024. Focus on datagovernanceDatagovernance is vital to ESG initiatives.
One of three finalists for the prestigious 2024 MIT CIO Leadership Award, Bell led the development of a proprietary data and analytics platform on AWS that enables the company to serve critical data to Medicare and other state and federal agencies as well as the Bill and Melinda Gates Foundation.
To tackle that, businesses are turning their budgets toward the cloud, with two out of every three IT decision-makers planning to increase cloud budgets in 2024, and nearly a third (31%) reporting that 31% of their IT budget is earmarked for cloud computing, according to the 2023 Cloud Computing Study from CIO.com parent company Foundry.
The financial services industry has been in the process of modernizing its datagovernance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. Trust and datagovernanceDatagovernance isn’t new, especially in the financial world.
Finally, Indias thriving start-up ecosystem, coupled with government initiatives such as Startup India, is increasingly focused on AI innovation across sectors like healthcare, agriculture, education, and fintech, and that investment infrastructure will directly result in further acceleration in both AI creation and adoption.
In An Overview of Catastrophic AI Risks , the authors identify several mitigations that can be addressed through governance and regulation (in addition to cybersecurity). They identify international coordination and safety regulation as critical to preventing risks related to an “AI race.”
Amazon DataZone is a powerful data management service that empowers data engineers, data scientists, product managers, analysts, and business users to seamlessly catalog, discover, analyze, and governdata across organizational boundaries, AWS accounts, data lakes, and data warehouses.
Register for EVOLVE24 in Dubai (September 12, 2024) to hear from industry leaders on why hybrid solutions are essential for navigating an increasingly complex regulatory environment. While these scenarios are hypotheticals, the risk is real. A prominent global bank was thrust into the spotlight for all the wrong reasons.
I legislatori europei hanno concordato un approccio risk-based: più alto il rischio, più rigide le regole. Il testo definitivo dell’AI Act dovrebbe essere pubblicato sulla Gazzetta Ufficiale dell’Unione europea all’inizio del 2024. O meglio: più numerosi gli obblighi.
Data privacy regulations, such as the General Data Protection Regulation (GDPR) in the European Union or the California Consumer Privacy Act (CCPA) in the state of California, are inescapable. They go to great lengths to integrate trust, transparency and risk management into the DNA of the company culture and the customer experience.
Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This proactive stance safeguards against erroneous insights or decisions driven by flawed or incomplete datasets.
Could you precise to which complementary research you mentioned when you talked about a datagovernance survey ? – Here is the one I mentioned during the webinar: The State of Data and Analytics Governance Is Worse Than You Think. – Data (and analytics) governance remains a challenge.
Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key. 2024 2 The State of Generative AI in the Enterprise, Deloitte, Jan.
Generative AI continues to dominate IT projects for many organizations, with two thirds of business leaders telling a Harris Poll they’ve already deployed generative AI tools internally, and IDC predicting spend on gen AI will more than double in 2024. But the usual laundry list of priorities for IT hasn’t gone away.
To provide guidance to federal agencies, and in many ways lead the way for the private sector, the Cybersecurity and Infrastructure Security Agency (CISA) issued the initial Zero Trust Maturity Model (ZTMM) in 2021 with the intent to give agencies a conceptual roadmap to onboard to a shared zero-trust maturity model by 2024.
Following a recent executive order by the Biden administration and a meteoric rise in AI adoption across sectors, the Office of Management and Budget (OMB) released a memo on how federal agencies can seize AI’s opportunities while managing its risks. But, how will these CAIOs balance regulatory measures and innovation?
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