Latest news with #GartnerHypeCycle
Yahoo
21 hours ago
- Business
- Yahoo
Gartner Hype Cycle Identifies Top AI Innovations in 2025
Analysts to Explore the Latest AI Trends at Gartner IT Symposium/Xpo, September 8-10 on the Gold Coast STAMFORD, Conn., August 08, 2025--(BUSINESS WIRE)--AI agents and AI-ready data are the two fastest advancing technologies on the 2025 Gartner Hype Cycle for Artificial Intelligence, according to Gartner, Inc. a business and technology insights company. These technologies are experiencing heightened interest this year, accompanied by ambitious projections and speculative promises, placing them at the Peak of Inflated Expectations. Gartner Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities. Gartner Hype Cycle methodology gives a view of how a technology or application will evolve over time, providing a sound source of insight to manage its deployment within the context of specific business goals. "With AI investment remaining strong this year, a sharper emphasis is being placed on using AI for operational scalability and real-time intelligence," said Haritha Khandabattu, Senior Director Analyst at Gartner. "This has led to a gradual pivot from generative AI (GenAI) as a central focus, toward the foundational enablers that support sustainable AI delivery, such as AI-ready data and AI agents." Among the AI innovations Gartner expects will reach mainstream adoption within the next 5 years, multimodal AI and AI trust, risk and security management (TRiSM) have been identified as dominating the Peak of Inflated Expectations (see Figure 1). Together, these developments will enable more robust, innovative and responsible AI applications, transforming how businesses and organizations operate. "Despite the enormous potential business value of AI, it isn't going to materialize spontaneously," said Khandabattu. "Success will depend on tightly business aligned pilots, proactive infrastructure benchmarking, and coordination between AI and business teams to create tangible business value." AI Agents AI agents are autonomous or semiautonomous software entities that use AI techniques to perceive, make decisions, take actions and achieve goals in their digital or physical environments. Using AI practices and techniques such as LLMs, organizations are creating and deploying AI agents to achieve complex tasks. "To reap the benefits of AI agents, organizations need to determine the most relevant business contexts and use cases, which is challenging given no AI agent is the same and every situation is different," said Khandabattu. "Although AI agents will continue to become more powerful, they can't be used in every case, so use will largely depend on the requirements of the situation at hand." AI Ready Data AI-ready data ensures datasets are optimized for AI applications, enhancing accuracy and efficiency. Readiness is determined through the data's ability to prove its fitness for use for specific AI use cases. It can only be determined contextually to the AI use case and the AI technique used, which forces new approaches to data management. According to Gartner, organizations that invest in AI at scale need to evolve their data management practices and capabilities to extend them to AI. This will cater to existing and upcoming business demands, ensure trust, avoid risk and compliance issues, preserve intellectual property and reduce bias and hallucinations. Multimodal AI Multimodal AI models are trained with multiple types of data simultaneously, such as images, video, audio and text. By integrating and analyzing diverse data sources, they can better understand complex situations better than models that use only one type of data. This helps users make sense of the world and opens up new avenues for AI applications. Multimodal AI will become increasingly integral to capability advancement in every application and software product across all industries over the next five years, according to Gartner research. AI TRiSM AI TRiSM plays a crucial role in ensuring ethical and secure AI deployment. It comprises four layers of technical capabilities that support enterprise policies for all AI use cases and help assure AI governance, trustworthiness, fairness, safety, reliability, security, privacy and data protection. "AI brings new trust, risk and security management challenges that conventional controls don't address," said Khandabattu. "Organizations must evaluate and implement layered AI TRiSM technology to continuously support and enforce policies across all AI entities in use." Gartner clients can read more in the report Hype Cycle for Artificial Intelligence, 2025. Learn how to fortify 4 AI strategy pillars to drive business impact in the complimentary Gartner AI Strategy Planner. About Gartner IT Symposium/Xpo Additional AI trends will be presented during Gartner IT Symposium/Xpo, the world's most important conference for CIOs and other IT executives. Gartner analysts and attendees will explore how to become agents of change in their organizations and harness AI for successful digital transformation. Follow news and updates from the conferences on X and LinkedIn using #GartnerSYM, and on the Gartner Newsroom. Upcoming dates and locations for Gartner IT Symposium/Xpo include:September 8-10, 2025 | Gold Coast, Australia October 20-23, 2025 | Orlando, FL October 28-30, 2025 | Yokohama, Japan November 10-13, 2025 | Barcelona, Spain November 17-19, 2025 | Kochi, India About Gartner for Information Technology Executives Gartner for Information Technology Executives provides actionable, objective insights to CIOs and IT leaders to help them drive their organizations through digital transformation and lead business growth. Additional information is available at Follow news and updates from Gartner for IT Executives on X and LinkedIn using #GartnerIT. Visit the IT Newsroom for more information and insights. About Gartner Gartner (NYSE: IT) delivers actionable, objective business and technology insights that drive smarter decisions and stronger performance on an organization's mission-critical priorities. To learn more visit View source version on Contacts Emma KeenGartnerTel +61 402 112 Krissie VitasaGartnerTel: +61 434 131
Business Wire
a day ago
- Business
- Business Wire
Gartner Hype Cycle Identifies Top AI Innovations in 2025
STAMFORD, Conn.--(BUSINESS WIRE)--AI agents and AI-ready data are the two fastest advancing technologies on the 2025 Gartner Hype Cycle for Artificial Intelligence, according to Gartner, Inc. a business and technology insights company. These technologies are experiencing heightened interest this year, accompanied by ambitious projections and speculative promises, placing them at the Peak of Inflated Expectations. Gartner Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities. Gartner Hype Cycle methodology gives a view of how a technology or application will evolve over time, providing a sound source of insight to manage its deployment within the context of specific business goals. 'With AI investment remaining strong this year, a sharper emphasis is being placed on using AI for operational scalability and real-time intelligence,' said Haritha Khandabattu, Senior Director Analyst at Gartner. 'This has led to a gradual pivot from generative AI (GenAI) as a central focus, toward the foundational enablers that support sustainable AI delivery, such as AI-ready data and AI agents.' Among the AI innovations Gartner expects will reach mainstream adoption within the next 5 years, multimodal AI and AI trust, risk and security management (TRiSM) have been identified as dominating the Peak of Inflated Expectations (see Figure 1). Together, these developments will enable more robust, innovative and responsible AI applications, transforming how businesses and organizations operate. 'Despite the enormous potential business value of AI, it isn't going to materialize spontaneously,' said Khandabattu. 'Success will depend on tightly business aligned pilots, proactive infrastructure benchmarking, and coordination between AI and business teams to create tangible business value.' AI Agents AI agents are autonomous or semiautonomous software entities that use AI techniques to perceive, make decisions, take actions and achieve goals in their digital or physical environments. Using AI practices and techniques such as LLMs, organizations are creating and deploying AI agents to achieve complex tasks. 'To reap the benefits of AI agents, organizations need to determine the most relevant business contexts and use cases, which is challenging given no AI agent is the same and every situation is different,' said Khandabattu. 'Although AI agents will continue to become more powerful, they can't be used in every case, so use will largely depend on the requirements of the situation at hand.' AI Ready Data AI-ready data ensures datasets are optimized for AI applications, enhancing accuracy and efficiency. Readiness is determined through the data's ability to prove its fitness for use for specific AI use cases. It can only be determined contextually to the AI use case and the AI technique used, which forces new approaches to data management. According to Gartner, organizations that invest in AI at scale need to evolve their data management practices and capabilities to extend them to AI. This will cater to existing and upcoming business demands, ensure trust, avoid risk and compliance issues, preserve intellectual property and reduce bias and hallucinations. Multimodal AI Multimodal AI models are trained with multiple types of data simultaneously, such as images, video, audio and text. By integrating and analyzing diverse data sources, they can better understand complex situations better than models that use only one type of data. This helps users make sense of the world and opens up new avenues for AI applications. Multimodal AI will become increasingly integral to capability advancement in every application and software product across all industries over the next five years, according to Gartner research. AI TRiSM AI TRiSM plays a crucial role in ensuring ethical and secure AI deployment. It comprises four layers of technical capabilities that support enterprise policies for all AI use cases and help assure AI governance, trustworthiness, fairness, safety, reliability, security, privacy and data protection. 'AI brings new trust, risk and security management challenges that conventional controls don't address,' said Khandabattu. 'Organizations must evaluate and implement layered AI TRiSM technology to continuously support and enforce policies across all AI entities in use.' Gartner clients can read more in the report Hype Cycle for Artificial Intelligence, 2025. Learn how to fortify 4 AI strategy pillars to drive business impact in the complimentary Gartner AI Strategy Planner. About Gartner IT Symposium/Xpo Additional AI trends will be presented during Gartner IT Symposium/Xpo, the world's most important conference for CIOs and other IT executives. Gartner analysts and attendees will explore how to become agents of change in their organizations and harness AI for successful digital transformation. Follow news and updates from the conferences on X and LinkedIn using #GartnerSYM, and on the Gartner Newsroom. Upcoming dates and locations for Gartner IT Symposium/Xpo include: September 8-10, 2025 | Gold Coast, Australia October 20-23, 2025 | Orlando, FL October 28-30, 2025 | Yokohama, Japan November 10-13, 2025 | Barcelona, Spain November 17-19, 2025 | Kochi, India About Gartner for Information Technology Executives Gartner for Information Technology Executives provides actionable, objective insights to CIOs and IT leaders to help them drive their organizations through digital transformation and lead business growth. Additional information is available at X and LinkedIn using #GartnerIT. Visit the IT Newsroom for more information and insights. About Gartner Gartner (NYSE: IT) delivers actionable, objective business and technology insights that drive smarter decisions and stronger performance on an organization's mission-critical priorities. To learn more visit
Techday NZ
31-07-2025
- Business
- Techday NZ
Commvault scores top five rankings in 2025 Gartner data report
Commvault has achieved the top ranking in five out of six evaluated Use Cases in the 2025 Gartner Critical Capabilities for Backup and Data Protection Platforms report. The report assessed the capabilities of technology providers across key Use Cases such as Hybrid, Multicloud, SaaS, Data Services, Disaster Recovery, and Ransomware Protection, Detection and Recovery. Commvault is noted as the only provider to have received a score of 4.0 or higher out of a possible 5 across every one of these categories. The five categories in which Commvault ranked highest are Hybrid, Multicloud, SaaS, Data Services, and Disaster Recovery. The sixth evaluated category, Ransomware Protection, Detection and Recovery, also saw Commvault receive a score of 4.0 or higher, although it did not attain the very highest listed rank in that area. Commvault's leadership position The company's performance in the 2025 Critical Capabilities report follows closely on the heels of its designation as a Leader in the 2025 Gartner Magic Quadrant for Backup and Data Protection Platforms, marking the 14th consecutive occasion Commvault has been placed in the Leader category for this area. Commvault Cloud continues to set the standard for modern cyber resilience and recovery, especially as organizations face increasing pressure to defend against cyberattacks, streamline recovery, and protect workloads wherever they live," said Pranay Ahlawat, Chief Technology and AI Officer, Commvault. "We believe this recognition from Gartner further validates our strengths in architecture, cloud native data protection, and the customer-centric AI and ML capabilities. In addition to being recognised in the Critical Capabilities report, Commvault was named a Sample Vendor in the 2025 Gartner Hype Cycle for Data Security Technologies. This inclusion was, according to Commvault, indicative of its development into areas of cyber resiliency beyond conventional backup and recovery. Industry context Gartner's Hype Cycle provides an industry framework for assessing the maturity and adoption rates of new technologies and applications, as well as their suitability for business challenges and opportunities. The methodology seeks to offer insight into how technologies may develop over time, aiding organisations in their planning and deployment strategies. Gartner's published research assesses market participants independently and states that it does not endorse any particular vendor, product or service. Gartner also emphasises that its research should not be interpreted as statements of fact or recommendations limited to those receiving the highest ratings. The Critical Capabilities assessment, compiled by analysts Jason Donham, Rizvan Hussain, Sankalp Rastogi, Michael Hoeck, and Rene Rodriguez, forms a supplement to Gartner's Magic Quadrant evaluation, which is widely used by IT and business leaders to compare providers in the enterprise data protection arena. Commvault profile Commvault's solutions are targeted at organisations adopting hybrid cloud strategies, and the company currently works with over 100,000 customers worldwide. Its stated focus is on providing a platform for cyber resilience that aims to combine data security and recovery features. The comprehensive nature of the evaluation criteria in Gartner's Critical Capabilities report and Hype Cycle signals an ongoing demand for robust and flexible data protection, particularly as businesses increasingly look for scalable solutions to defend against cyber threats and ensure continuity of operations across diverse IT environments.
Forbes
28-07-2025
- Business
- Forbes
The 'Agentic AI' Hype Cycle Is Insane – Don't Normalize It
The Gartner Hype Cycle normalizes an irrational, costly industry habit: misleading hype. And when it ... More comes to "agentic AI," the overpromising is worse than ever. Two weeks ago, I published an article, 'Agentic AI Is The New Vaporware.' I reasoned that 'agentic AI' is a hype term that repackages pie in the sky AI ambitions, but does not allude to any particular advancement that might achieve them. The buzzword amplifies the overpromising narrative that we're rapidly headed toward a great leap in autonomy. Most uses of 'agentic' do not refer to any novel technical methodology and the ambition of increasing autonomy is not new – even as the word falsely implies otherwise on both accounts. The article performed fairly well. Only four of my 26 Forbes articles have received more views. But I doubt the article made a great dent – I don't expect the hype to quiet down overnight. The Gartner Hype Cycle currently has 'AI agents' sitting at the 'Peak of Inflated Expectations.' Unfortunately, tech seems to wear the peak hype position like a badge of honor – despite the connotations that the next move will be a grave downfall into the 'Trough of Disillusionment.' The cycle is seen as a right of passage. There is a belief that hype, even when overzealous and misleading, helps propel technology. The Gartner Hype Cycle Actually Promotes Hype The Gartner Hype Cycle famously depicts a presumed trajectory for each new technology, from inception to maturity. At first, expectations rise as a new technology gains traction. But the hype typically goes too far, reaching the 'Peak of Inflated Expectations.' With agentic AI, we're right at that precipice, ready to tumble down to the 'Trough of Disillusionment.' Agenic AI's plunge could be worse than most. The disconnect between hype and reality seems to only be increasing, with so much more attention on a colorful story than concrete, deployed value. Overselling is costly; when the executives catch on, there'll be hell to pay. If we continue on the current course, the fall from grace will be even steeper and the disillusionment even deeper than usual. It could even be central to a third AI Winter, an era of diminished excitement and funding. But when Gartner positions a technology at peak hype, it worsens the hype rather than tempering it. The firm's Hype Cycle normalizes – even glamorizes – the irrational, costly overpromising and overselling that hype entails. The message is that these ups and downs are not only inevitable, they're helpful for accelerating the development and adoption of a technology. I disagree. There's a detrimental complacency in passively accepting, "That's just how things work in the tech industry.' There's complicity in agreeing to an arbitrary amount of exaggeration and overpromising – or, as Gartner calls it, 'Inflated Expectations' – as copacetic. Sure, the message of hype's unavoidability is a bit somber, but Gartner's Hype Cycle also indulges in the excitement, effectively celebrating the exuberant trendiness. This amounts to a celebration of poor expectation management. It's true that excitement helps get people moving. But must we promote fiction in order to generate excitement and productivity? I'm too much of a humanist and technology optimistic to think yes. AI Hype Takes The Cake This problem of hype begeting hype is most intense for AI. After all, AI hype is the worst hype. It propels a narrative that, relatively soon, the tech will be capable of taking over human labor wholesale. It's a false promise of extraordinary levels of machine autonomy, fueled by an enticing, fictional story of escalating 'intelligence' that begins to propel itself like wildfire to transcend the entire range of human capabilities. But Gartner rewards each trend for… being a trend. For each technology it includes on its up and down ride, the Gartner Hype Cycle serves as a one-size-fits-all stamp of approval. It's incapable of issuing a more dire warning, even if warranted – you never see its 'rollercoaster' curves depicted as more or less extreme, nor its 'Plateau of Productivity' particularly low or even hugging the floor. But for some technologies, you certainly should. The 'agentic AI' hype is even more egregious than most AI hype. The words themselves – 'agent' and 'agentic' – magnify the grandiosity. Crediting machines with 'agency' doubles down on AI's core mythology and original sin, the anthropomorphization of machines. This sells an implausible, unsupported narrative that we'll soon see unprecedented, significant new levels of computer autonomy. The 'Agentic AI' Hype Wave Is Only A Continuation The 'GenAI' Hype Wave Gartner has bolstered the 'agentic AI' hype wave even further by announcing it as its own technology with its own wave. Although 'agentic AI' has assumed the guise of being a unique technology unto itself, the hype term does not actually refer to any particular methodology or advancement. Rather, 'agentic AI' is a continuation of the broader genAI hype cycle that we've been in the midst of for almost three years. Gartner appears to have not recognized this. Their latest report suggests that genAI has already slid halfway down toward the 'Trough of Disillusionment,' separate from 'agentic AI,' which is positioned atop the hype peak. I'm afraid that the current, singular wave of 'genAI/agentic' hype – spawned from and based on large language models and other forms of generative AI – has far from peaked. Pivoting to its newer terminology helps rejuvenate the wave; 'agentic' has simply picked up genAI's mantle. After all, the term 'agentic AI' has come to refer almost exclusively to uses of LLMs. Since it normalizes overpromising, one could hope that the Hype Cycle itself will someday become its own victim. With a bit of luck, it will dip down to its own 'Trough of Disillusionment' and stay there.
Associated Press
16-07-2025
- Business
- Associated Press
Ushur Recognized Across Four Categories in the Gartner® 2025 Hype Cycle™ for U.S. Healthcare Payers
SANTA CLARA, Calif., July 16, 2025 (GLOBE NEWSWIRE) -- Ushur, the leader in AI-powered Customer Experience Automation™ (CXA), today announced its recognition in the 2025 Gartner® Hype Cycle™ for U.S. Healthcare Payers. This annual report guides healthcare organizations in understanding where emerging technologies sit along the adoption curve — and when to invest to gain a competitive edge. For the second consecutive year, Ushur has been recognized across multiple categories. We believe this reinforces its leadership in applying Agentic AI to healthcare payer operations. In our opinion, this recognition highlights both the strength of Ushur's underlying AI technology and its proven ability to solve real-world challenges. Ushur is recognized in four categories: 'To deliver meaningful value without compromising trust, we've embedded healthcare- and client-specific guardrails that control AI behavior, eliminate hallucinations, prevent misuse, and properly escalate crises situations — keeping security, accuracy and compliance at the core,' said Yvonne Daugherty, Global Head of Industries at Ushur. As the 2025 Gartner Hype Cycle highlights, emerging technologies like Digital Broker tools, intelligent onboarding, LLMs and hyperautomation are becoming essential for payers to remain competitive. Ushur's recognition across four distinct categories reflects the platform's versatility and its alignment with the priorities of healthcare enterprises focused on growth, efficiency, and operational excellence. For a full download of the 2025 Gartner® Hype Cycle™ report, visit here. To explore how Ushur's AI-powered solutions can unlock efficiency and experience gains for your organization, please visit About Ushur Ushur delivers the world's first Customer Experience Automation platform built specifically for regulated industries. Purpose-built for delivering ideal self-service, Ushur infuses intelligence into digital experiences for the most delightful and impactful customer engagements. Equipped with guardrails and compliance-ready infrastructure, Ushur powers vertical AI Agents for healthcare, financial services and insurance use cases. Designed for rapid code-less deployment with flexible, advanced capabilities for IT and business teams, enterprises can transform customer and employee journeys at scale, driving faster time-to-value and improved outcomes. Disclaimer Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner and Hype Cycle is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Contact James Nealon [email protected]
