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Economic Times
an hour ago
- Business
- Economic Times
By 2027, 50% of business decisions will be augmented by AI agents for decision intelligence: Report
According to a report by Gartner, Inc., by 2027, 50% of business decisions will be augmented or automated by AI agents for decision intelligence. This integration will enhance decision flows by handling complex analysis and data retrieval. Gartner recommends D&A leaders prioritise critical decisions that can benefit from advanced AI. Idoine cautioned that AI agents aren't "a panacea, nor are they infallible," stressing the need for effective governance and human AI literacy. Another significant prediction in the report is that organisations that prioritise AI literacy for their executives are projected to achieve 20% higher financial performance by 2027. Additionally, Gartner suggests D&A leaders implement experiential upskilling programs, such as developing domain-specific prototypes to make AI tangible. However, a critical challenge highlighted in the report is that by 2027, 60% of D&A leaders will face critical failures in managing synthetic data, risking AI governance, model accuracy, and compliance. While synthetic data is crucial for privacy and generating diverse datasets, complexities arise in ensuring its accuracy, scalability, and integration. Additionally, looking ahead, by 2028, 30% of GenAI pilots will be built in-house for large-scale production, driven by lower costs and increased control, rather than relying on packaged applications. Building GenAI models internally offers greater flexibility and long-term value. Lastly, by 2029, 10% of global boards are predicted to utilize AI guidance to challenge executive decisions that are material to their business. As AI becomes integral to board-level strategy, robust data governance, regulatory clarity, and reputation management will become paramount. "Nearly everything today - from the way we work to how we make decisions - is directly or indirectly influenced by AI. But it doesn't deliver value on its own - AI needs to be tightly aligned with data, analytics and governance to enable intelligent, adaptive decisions and actions across the organisation," said Carlie Idoine, VP Analyst at key predictions include a significant increase in business decisions augmented or automated by AI agents, a direct correlation between executive AI literacy and higher financial performance, and potential critical failures in managing synthetic data that could risk AI governance, model accuracy, and company advises integrating some strategic assumptions into their planning over the next two to three years.
Time of India
11 hours ago
- Business
- Time of India
By 2027, 50% of business decisions will be augmented by AI agents for decision intelligence: Report
By 2027, 50% of business decisions will be AI-augmented, says Gartner. AI literacy boosts financial performance, but synthetic data mismanagement may risk governance. Gartner urges experiential AI upskilling and strategic planning as AI becomes central to decision-making, with boards expected to adopt AI guidance by 2029. Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads According to a report by Gartner, Inc. , by 2027, 50% of business decisions will be augmented or automated by AI agents for decision integration will enhance decision flows by handling complex analysis and data retrieval. Gartner recommends D&A leaders prioritise critical decisions that can benefit from advanced AI. Idoine cautioned that AI agents aren't "a panacea, nor are they infallible," stressing the need for effective governance and human AI literacy Another significant prediction in the report is that organisations that prioritise AI literacy for their executives are projected to achieve 20% higher financial performance by Gartner suggests D&A leaders implement experiential upskilling programs, such as developing domain-specific prototypes to make AI a critical challenge highlighted in the report is that by 2027, 60% of D&A leaders will face critical failures in managing synthetic data, risking AI governance , model accuracy, and compliance. While synthetic data is crucial for privacy and generating diverse datasets, complexities arise in ensuring its accuracy, scalability, and looking ahead, by 2028, 30% of GenAI pilots will be built in-house for large-scale production, driven by lower costs and increased control, rather than relying on packaged applications. Building GenAI models internally offers greater flexibility and long-term by 2029, 10% of global boards are predicted to utilize AI guidance to challenge executive decisions that are material to their business. As AI becomes integral to board-level strategy, robust data governance, regulatory clarity, and reputation management will become paramount."Nearly everything today - from the way we work to how we make decisions - is directly or indirectly influenced by AI. But it doesn't deliver value on its own - AI needs to be tightly aligned with data, analytics and governance to enable intelligent, adaptive decisions and actions across the organisation," said Carlie Idoine, VP Analyst at key predictions include a significant increase in business decisions augmented or automated by AI agents, a direct correlation between executive AI literacy and higher financial performance, and potential critical failures in managing synthetic data that could risk AI governance, model accuracy, and company advises integrating some strategic assumptions into their planning over the next two to three years.
India Gazette
12 hours ago
- Business
- India Gazette
By 2027, 50% of business decisions will be augmented by AI agents for decision intelligence: Gartner
New Delhi [India], June 17 (ANI): According to a report by Gartner, Inc., by 2027, 50 per cent of business decisions will be augmented or automated by AI agents for decision intelligence. This integration will enhance decision flows by handling complex analysis and data retrieval. Gartner recommends D&A leaders prioritise critical decisions that can benefit from advanced AI. Idoine cautioned that AI agents aren't 'a panacea, nor are they infallible,' stressing the need for effective governance and human AI significant prediction in the report is that organisations that prioritise AI literacy for their executives are projected to achieve 20 per cent higher financial performance by 2027. Additionally, Gartner suggests D&A leaders implement experiential upskilling programs, such as developing domain-specific prototypes to make AI a critical challenge highlighted in the report is that by 2027, 60 per cent of D&A leaders will face critical failures in managing synthetic data, risking AI governance, model accuracy, and compliance. While synthetic data is crucial for privacy and generating diverse datasets, complexities arise in ensuring its accuracy, scalability, and looking ahead, by 2028, 30 per cent of GenAI pilots will be built in-house for large-scale production, driven by lower costs and increased control, rather than relying on packaged applications. Building GenAI models internally offers greater flexibility and long-term by 2029, 10 per cent of global boards are predicted to utilize AI guidance to challenge executive decisions that are material to their business. As AI becomes integral to board-level strategy, robust data governance, regulatory clarity, and reputation management will become paramount. 'Nearly everything today - from the way we work to how we make decisions - is directly or indirectly influenced by AI. But it doesn't deliver value on its own - AI needs to be tightly aligned with data, analytics and governance to enable intelligent, adaptive decisions and actions across the organization,' said Carlie Idoine, VP Analyst at key predictions include a significant increase in business decisions augmented or automated by AI agents, a direct correlation between executive AI literacy and higher financial performance, and potential critical failures in managing synthetic data that could risk AI governance, model accuracy, and company advises integrating some strategic assumptions into their planning over the next two to three years. (ANI)
Techday NZ
a day ago
- Business
- Techday NZ
Gartner: AI agents set to automate half of decisions by 2027
Gartner has released its latest predictions for data and analytics trends, outlining the key developments expected to shape business practices through 2025 and beyond. According to Gartner, by 2027, half of all business decisions will be either augmented or automated by artificial intelligence (AI) agents. This projection comes alongside warnings about risks related to synthetic data and recommendations for improving executive AI literacy to drive better financial outcomes. AI agents and decision intelligence Gartner analysts predict that decision intelligence—which integrates data, analytics, and AI to assist or automate complex judgement—will see increasing adoption. By 2027, 50% of business decisions are expected to be supported by AI agents handling complex analysis and data retrieval. These developments are driven by the need for organisations to make faster and more informed decisions in a data-rich environment. "Nearly everything today – from the way we work to how we make decisions – is directly or indirectly influenced by AI. But it doesn't deliver value on its own – AI needs to be tightly aligned with data, analytics and governance to enable intelligent, adaptive decisions and actions across the organisation." This statement from Carlie Idoine, Vice President Analyst at Gartner, places emphasis on the need for effective governance and the architecture surrounding the use of AI. Idoine added, "AI agents for decision intelligence aren't a panacea, nor are they infallible. They must be used collectively with effective governance and risk management. Human decisions still require proper knowledge, as well as data and AI literacy." Executive AI literacy and financial performance The report highlights a direct link between executive understanding of AI and an organisation's financial results. Gartner forecasts that, by 2027, organisations prioritising AI literacy among executives will see financial performance improve by 20% compared to those that do not. This is attributed to more strategic investments in AI and better management of opportunities and risks. Gartner recommends that leaders introduce upskilling programmes for executives, suggesting activities such as developing domain-specific prototypes to make AI applications more tangible and actionable. Synthetic data: Risks and management As organisations use synthetic data to train AI models—often to enhance data privacy or expand datasets—Gartner flags potential risks related to governance, accuracy, and compliance. The firm predicts that 60% of data and analytics leaders will experience critical failures in synthetic data management by 2027. Idoine said, "To manage these risks, organisations need effective metadata management. Metadata provides the context, lineage and governance needed to track, verify and manage synthetic data responsibly, which is essential to maintaining AI accuracy and meeting compliance standards." Build versus buy in GenAI The report also looks ahead to the development of generative AI (GenAI) applications, predicting that by 2028, 30% of GenAI pilots transitioning to large-scale production will involve bespoke builds rather than off-the-shelf software solutions. This trend is attributed to the flexibility and control afforded by in-house development, though Gartner notes it is critical for organisations to assess costs, available skills, integration requirements, and regulatory factors before making a decision to build or buy. Semantics and data readiness Another area highlighted is the importance of semantics and metadata within AI-ready data. Poor semantics can lead to AI hallucinations, increase computational costs, and reduce model accuracy. Gartner expects that by 2027, companies focusing on semantics in their AI data will increase their GenAI model accuracy by up to 80% and potentially lower costs by up to 60%. This is seen as key to improving the efficiency and reliability of AI agents in business decision making. AI in the boardroom Looking further ahead, Gartner predicts that by 2029, 10% of global boards will employ AI advice to challenge executive decisions that are material to their businesses. The growing use of AI at board level will reinforce the need for robust data governance, clear regulatory policies, and reputation management. Boards are encouraged to set firm boundaries around AI involvement and define clear oversight and compliance frameworks to maintain strategic control. Gartner clients have access to detailed predictions and recommendations on these trends, including guidance on the roles and responsibilities of Chief Data and Analytics Officers in ensuring AI delivers business value while managing emerging risks.
