Latest news with #TheFutureofEnterpriseAIAgents
Web Release
26-04-2025
- Business
- Web Release
98% of Enterprises in the UAE Prioritize Agent Investments to Stay Ahead, says New Cloudera Survey
Cloudera, the only true hybrid platform for data, analytics, and AI, has released the findings of a new global survey, 'The Future of Enterprise AI Agents', and found 98% of UAE enterprises believe it's important to invest in agents to maintain a competitive edge within their industry. Globally, the research reveals an overwhelming 96% of enterprise IT leaders globally plan to expand their use of AI agents in the next 12 months, with half aiming for significant, organization-wide deployment, highlighting a rapid shift toward AI-powered operations. In the UAE, 90% of respondents expressed similar intentions, with 39% targeting broad implementation. The survey polled nearly 1,500 enterprise IT leaders across 14 countries, including the UAE, to understand their adoption patterns, use cases, and sentiments around AI agents. The applications for this deployment include performance optimization bots (66%), security monitoring agents (63%), and development assistants (62%). For business and IT leaders alike, agentic AI marks a new frontier—moving beyond traditional automation to systems that can reason, act, and adapt in real-time. When implemented effectively, these intelligent agents unlock operational agility, drive cost savings, and dramatically improve customer engagement. As a result, AI agents are quickly becoming a key source of competitive advantage, with 83% of organizations globally—and an even higher 98% in the UAE— stating that investing in them is crucial to maintaining their edge in the market. 'Businesses are now recognizing how AI agents are driving efficiencies and real-time insights. These agents have moved beyond experimentation and are now actively used by businesses to enhance their overall performance. We are focused on helping these organizations navigate the new world of enterprise AI. Empowering global enterprises to innovate and thrive in today's digital economy,' says Ahmad Shakora, Group Vice President – Emerging Markets (META), Cloudera. In addition to the benefits of the technology, Cloudera's survey answered some of the biggest questions around agentic AI, including: ? How widely is this being adopted in the UAE? Adoption is already underway. One-quarter (27%) of respondents started implementing AI agents within the last two years. A majority (97%) say their prior investments in generative AI prepared them well to implement agentic AI. ? How are UAE organizations deploying agents? AI agents are being deployed across various business functions, with the highest adoption in IT (67%), followed by customer support (11%) and HR (6%). In terms of specific use cases, AI agents are most commonly used for customer support (73%), process automation (66%), and sales and marketing personalization (58%), highlighting their role in both operational efficiency and enhanced customer experiences. ? What's getting in the way? The top three barriers are data privacy concerns (62%), followed by high costs (48%), governance concerns (31%), and lack of expertise (31%). These pain points all stem from a common root: the need for robust, unified data management and governance. ? What is the biggest risk? Enterprises worry that AI agents carry the risk of undermining consumer and employee trust. 29% of surveyed IT leaders have significant concerns about AI bias and fairness. ? How to govern AI responsibly? To combat bias, 42% of respondents have introduced some bias-check measures, such as periodic human reviews or bias-detection tools. Another 40% are instituting multiple processes, such as human review loops, diverse training data, and formal fairness audits. To download the full report, click here.
Mid East Info
25-04-2025
- Business
- Mid East Info
98% of Enterprises in the UAE Prioritize Agent Investments to Stay Ahead, says New Cloudera Survey - Middle East Business News and Information
The global survey of IT leaders found nearly all respondents are keen on AI agents, but fears around data privacy, high costs, and AI biases are causing obstacles Dubai, UAE: Cloudera, the only true hybrid platform for data, analytics, and AI, has released the findings of a new global survey, 'The Future of Enterprise AI Agents', and found 98% of UAE enterprises believe it's important to invest in agents to maintain a competitive edge within their industry. Globally, the research reveals an overwhelming 96% of enterprise IT leaders globally plan to expand their use of AI agents in the next 12 months, with half aiming for significant, organization-wide deployment, highlighting a rapid shift toward AI-powered operations. In the UAE, 90% of respondents expressed similar intentions, with 39% targeting broad implementation. The survey polled nearly 1,500 enterprise IT leaders across 14 countries, including the UAE, to understand their adoption patterns, use cases, and sentiments around AI agents. The applications for this deployment include performance optimization bots (66%), security monitoring agents (63%), and development assistants (62%). For business and IT leaders alike, agentic AI marks a new frontier—moving beyond traditional automation to systems that can reason, act, and adapt in real-time. When implemented effectively, these intelligent agents unlock operational agility, drive cost savings, and dramatically improve customer engagement. As a result, AI agents are quickly becoming a key source of competitive advantage, with 83% of organizations globally—and an even higher 98% in the UAE— stating that investing in them is crucial to maintaining their edge in the market. 'Businesses are now recognizing how AI agents are driving efficiencies and real-time insights. These agents have moved beyond experimentation and are now actively used by businesses to enhance their overall performance. We are focused on helping these organizations navigate the new world of enterprise AI. Empowering global enterprises to innovate and thrive in today's digital economy,' says Ahmad Shakora, Group Vice President – Emerging Markets (META), Cloudera. In addition to the benefits of the technology, Cloudera's survey answered some of the biggest questions around agentic AI, including: How widely is this being adopted in the UAE? Adoption is already underway. One-quarter (27%) of respondents started implementing AI agents within the last two years. A majority (97%) say their prior investments in generative AI prepared them well to implement agentic AI. Adoption is already underway. One-quarter (27%) of respondents started implementing AI agents within the last two years. A majority (97%) say their prior investments in generative AI prepared them well to implement agentic AI. How are UAE organizations deploying agents? AI agents are being deployed across various business functions, with the highest adoption in IT (67%), followed by customer support (11%) and HR (6%). In terms of specific use cases, AI agents are most commonly used for customer support (73%), process automation (66%), and sales and marketing personalization (58%), highlighting their role in both operational efficiency and enhanced customer experiences. AI agents are being deployed across various business functions, with the highest adoption in IT (67%), followed by customer support (11%) and HR (6%). In terms of specific use cases, AI agents are most commonly used for customer support (73%), process automation (66%), and sales and marketing personalization (58%), highlighting their role in both operational efficiency and enhanced customer experiences. What's getting in the way? The top three barriers are data privacy concerns (62%), followed by high costs (48%), governance concerns (31%), and lack of expertise (31%). These pain points all stem from a common root: the need for robust, unified data management and governance. The top three barriers are data privacy concerns (62%), followed by high costs (48%), governance concerns (31%), and lack of expertise (31%). These pain points all stem from a common root: the need for robust, unified data management and governance. What is the biggest risk? Enterprises worry that AI agents carry the risk of undermining consumer and employee trust. 29% of surveyed IT leaders have significant concerns about AI bias and fairness. Enterprises worry that AI agents carry the risk of undermining consumer and employee trust. 29% of surveyed IT leaders have significant concerns about AI bias and fairness. How to govern AI responsibly? To combat bias, 42% of respondents have introduced some bias-check measures, such as periodic human reviews or bias-detection tools. Another 40% are instituting multiple processes, such as human review loops, diverse training data, and formal fairness audits.
Zawya
24-04-2025
- Business
- Zawya
98% of enterprises in the UAE prioritize agent investments to stay ahead, says new Cloudera survey
Dubai, UAE: Cloudera, the only true hybrid platform for data, analytics, and AI, has released the findings of a new global survey, 'The Future of Enterprise AI Agents', and found 98% of UAE enterprises believe it's important to invest in agents to maintain a competitive edge within their industry. Globally, the research reveals an overwhelming 96% of enterprise IT leaders globally plan to expand their use of AI agents in the next 12 months, with half aiming for significant, organization-wide deployment, highlighting a rapid shift toward AI-powered operations. In the UAE, 90% of respondents expressed similar intentions, with 39% targeting broad implementation. The survey polled nearly 1,500 enterprise IT leaders across 14 countries, including the UAE, to understand their adoption patterns, use cases, and sentiments around AI agents. The applications for this deployment include performance optimization bots (66%), security monitoring agents (63%), and development assistants (62%). For business and IT leaders alike, agentic AI marks a new frontier—moving beyond traditional automation to systems that can reason, act, and adapt in real-time. When implemented effectively, these intelligent agents unlock operational agility, drive cost savings, and dramatically improve customer engagement. As a result, AI agents are quickly becoming a key source of competitive advantage, with 83% of organizations globally—and an even higher 98% in the UAE— stating that investing in them is crucial to maintaining their edge in the market. 'Businesses are now recognizing how AI agents are driving efficiencies and real-time insights. These agents have moved beyond experimentation and are now actively used by businesses to enhance their overall performance. We are focused on helping these organizations navigate the new world of enterprise AI. Empowering global enterprises to innovate and thrive in today's digital economy,' says Ahmad Shakora, Group Vice President - Emerging Markets (META), Cloudera. In addition to the benefits of the technology, Cloudera's survey answered some of the biggest questions around agentic AI, including: How widely is this being adopted in the UAE? Adoption is already underway. One-quarter (27%) of respondents started implementing AI agents within the last two years. A majority (97%) say their prior investments in generative AI prepared them well to implement agentic AI. How are UAE organizations deploying agents? AI agents are being deployed across various business functions, with the highest adoption in IT (67%), followed by customer support (11%) and HR (6%). In terms of specific use cases, AI agents are most commonly used for customer support (73%), process automation (66%), and sales and marketing personalization (58%), highlighting their role in both operational efficiency and enhanced customer experiences. What's getting in the way? The top three barriers are data privacy concerns (62%), followed by high costs (48%), governance concerns (31%), and lack of expertise (31%). These pain points all stem from a common root: the need for robust, unified data management and governance. What is the biggest risk? Enterprises worry that AI agents carry the risk of undermining consumer and employee trust. 29% of surveyed IT leaders have significant concerns about AI bias and fairness. How to govern AI responsibly? To combat bias, 42% of respondents have introduced some bias-check measures, such as periodic human reviews or bias-detection tools. Another 40% are instituting multiple processes, such as human review loops, diverse training data, and formal fairness audits. To download the full report, click here. About Cloudera Cloudera is a hybrid platform for data, analytics, and AI. With 100x more data under management than other cloud-only vendors, Cloudera empowers global enterprises to transform data of all types, on any public or private cloud, into valuable, trusted insights. Our open data lakehouse delivers scalable and secure data management with portable cloud-native analytics, enabling customers to bring GenAI models to their data while maintaining privacy and ensuring responsible, reliable AI deployments. The world's largest brands in financial services, insurance, media, manufacturing, and government rely on Cloudera to use their data to solve what seemed impossible—today and in the future. To learn more, visit and follow us on LinkedIn and X. Cloudera and associated marks are trademarks or registered trademarks of Cloudera, Inc. All other company and product names may be trademarks of their respective owners. For more information, please visit For media enquiries, please contact Matrix PR Dubai Jazlynn Lobo: jazlynn@ Krishika Mahesh: krishika@
Techday NZ
23-04-2025
- Business
- Techday NZ
ANZ firms ramp up AI agent adoption to stay competitive in 2025
Australian and New Zealand organisations are significantly increasing investments in AI agents, with the majority considering such technology essential for maintaining competitiveness, according to new findings from Cloudera's "The Future of Enterprise AI Agents" survey. The survey, which polled nearly 1,500 enterprise IT leaders from 14 countries, highlights that 97% of Australian and New Zealand (ANZ) respondents plan to expand their use of AI agents over the next year. Of this, 91% see investment in agentic AI as crucial for remaining competitive in their respective markets. The research shows that prior investment in generative AI has played a substantial role in preparing ANZ enterprises for the adoption of agentic AI, with 89% indicating that their experience with generative AI has positioned them well for this technology shift. AI agents are increasingly being implemented to support a range of business processes. Popular applications among enterprises globally include performance optimisation bots (66%), security monitoring agents (63%), and development assistants (62%). In ANZ, sector-specific uses are also emerging, reflecting trends within finance, healthcare, telecommunications, manufacturing, and retail. The report identifies several challenges related to the technology. Across ANZ, concerns about AI bias (69%), data privacy (54%), and lack of expertise (38%) persist among organisations as they work towards broader deployment of agentic AI. These concerns are echoed globally, where data privacy (53%), integration with legacy systems (40%), and high implementation costs (39%) are identified as the primary obstacles to adoption. Australian and New Zealand Regional Vice President at Cloudera, Keir Garrett, commented on the survey findings: "AI Agents have the potential to transform the operational landscape of ANZ organisations. Their ability to think, act and adapt at speed doesn't just make processes better, they open up endless opportunities for innovation, smarter data-driven decisions and achieving faster results. But of course, we need guardrails in place." "At Cloudera, we believe that trusted AI starts with trusted data. Our tools help ANZ organisations deploy AI models right where their data lives, keeping data privacy intact and ensuring they stay competitive in today's fast-paced market." Cloudera's research also details how enterprises are integrating AI agents into existing infrastructures. Approximately 66% of organisations report building agents on enterprise AI infrastructure platforms, while 60% use agentic capabilities embedded within core applications. This approach indicates a preference for scalable and secure deployments that operate close to organisational data. Adoption is accelerating, with 57% of enterprise IT leaders globally having implemented AI agents within the past two years. Of these, 21% did so within the last year. The report suggests that organisations often begin with contained, high-impact projects—such as internal IT support agents—before expanding further, as such use cases provide fast returns and build confidence for more extensive deployments. The benefits of agentic AI go beyond automation, with organisations reporting improvements in operational agility, cost efficiency, and customer engagement. According to Abhas Ricky, Chief Strategy Officer at Cloudera: "AI agents have moved beyond experimentation—they're now delivering real automation, efficiency, and business results." "We're seeing enterprises run hundreds of models in production, all demanding high-fidelity, well-managed data to drive better outcomes. In 2025, agentic AI is taking centre stage, building on the momentum of generative AI but with even greater operational impact." "Cloudera is enabling this transformation through a robust Enterprise AI Ecosystem, helping global organisations design secure, scalable, and integrated AI workflows that turn data into action." Industry-specific applications for AI agents in ANZ reflect varied priorities across sectors. In finance and insurance, fraud detection (41%), risk assessment (59%), and portfolio management (41%) are prominent. The manufacturing sector is focusing on process automation (39%), quality control (48%), and inventory management (42%). Healthcare organisations are using AI agents mainly for appointment scheduling (48%), diagnostic assistance (52%), and care coordination (43%). In telecommunications, deployments span customer experience (50%), infrastructure maintenance (50%), performance monitoring (50%), and security monitoring (50%). Gartner has identified Agentic AI as a key technology trend for 2025, suggesting that advances in this area will enable organisations to augment and offload human work, supporting even greater productivity and operational flexibility.
Channel Post MEA
21-04-2025
- Business
- Channel Post MEA
Enterprises Overwhelmingly Expanding Use of AI Agents: Cloudera
Cloudera has released the findings of its latest survey report, 'The Future of Enterprise AI Agents.' The survey polled nearly 1,500 enterprise IT leaders across 14 countries to understand their adoption patterns, use cases, and sentiments around AI agents. Results show an overwhelming 96% of respondents have plans to expand their use of AI agents in the next 12 months, with half aiming for significant, organization-wide expansion. The applications for this deployment include performance optimization bots (66%), security monitoring agents (63%), and development assistants (62%). For business and IT leaders alike, agentic AI marks a new frontier—moving beyond traditional automation to systems that can reason, act, and adapt in real-time. When implemented effectively, these intelligent agents unlock operational agility, drive cost savings, and dramatically improve customer engagement. As a result, AI agents are quickly becoming a key source of competitive advantage, with 83% of organizations stating that investing in them is crucial to maintaining their edge in the market. In addition to the benefits of the technology, Cloudera's survey answered some of the biggest questions around agentic AI, including: How widely is this being adopted? Adoption is already underway. A majority (57%) of enterprise IT leaders report they've implemented AI agents in the past two years—21% in just the last year—signaling rapid momentum that's only expected to grow. Adoption is already underway. A majority (57%) of enterprise IT leaders report they've implemented AI agents in the past two years—21% in just the last year—signaling rapid momentum that's only expected to grow. How are organizations deploying agents? Two-thirds (66%) are building agents on enterprise AI infrastructure platforms, while 60% are leveraging agentic capabilities embedded in existing core applications. This hybrid approach reflects a clear preference for scalable, secure, and close-to-data deployments. Two-thirds (66%) are building agents on enterprise AI infrastructure platforms, while 60% are leveraging agentic capabilities embedded in existing core applications. This hybrid approach reflects a clear preference for scalable, secure, and close-to-data deployments. What's getting in the way? The top three barriers are data privacy (53%), integration with legacy systems (40%), and high implementation costs (39%). These pain points all stem from a common root: the need for robust, unified data management and governance. The top three barriers are data privacy (53%), integration with legacy systems (40%), and high implementation costs (39%). These pain points all stem from a common root: the need for robust, unified data management and governance. Where should companies begin? Start with a contained, high-impact project—such as an internal IT support agent. These 'fast-to-value' use cases help teams prove ROI, build internal confidence, and lay the foundation for broader, scaled deployments. 'AI agents have moved beyond experimentation—they're now delivering real automation, efficiency, and business results. We're seeing enterprises run hundreds of models in production, all demanding high-fidelity, well-managed data to drive better outcomes,' said Abhas Ricky, Chief Strategy Officer, Cloudera. 'In 2025, agentic AI is taking center stage, building on the momentum of generative AI but with even greater operational impact. Cloudera is enabling this transformation through a robust Enterprise AI Ecosystem, helping global organizations design secure, scalable, and integrated AI workflows that turn data into action.' Cloudera's report also addresses what enterprises are actually doing with AI agents. The top use cases vary by industry, shaped by the specific needs and priorities of each sector: Finance & Insurance : Fraud detection (56%), risk assessment (44%), and investment advisory (38%) are the leading use cases. AI agents are flagging suspicious transactions in real time, simulating market scenarios to evaluate risk, and supporting advisors with personalized investment suggestions. : Fraud detection (56%), risk assessment (44%), and investment advisory (38%) are the leading use cases. AI agents are flagging suspicious transactions in real time, simulating market scenarios to evaluate risk, and supporting advisors with personalized investment suggestions. Manufacturing : Top applications include process automation (49%), supply chain optimization (48%), and quality control (47%). Agents are monitoring production lines to catch defects early, rerouting logistics to avoid delays, and streamlining repetitive tasks to improve efficiency. : Top applications include process automation (49%), supply chain optimization (48%), and quality control (47%). Agents are monitoring production lines to catch defects early, rerouting logistics to avoid delays, and streamlining repetitive tasks to improve efficiency. Healthcare : Appointment scheduling (51%), diagnostic assistance (50%), and medical records processing (47%) are the most common use cases. AI agents are reducing admin burden by coordinating schedules, surfacing relevant EMR data, and helping clinicians identify conditions in imaging data. : Appointment scheduling (51%), diagnostic assistance (50%), and medical records processing (47%) are the most common use cases. AI agents are reducing admin burden by coordinating schedules, surfacing relevant EMR data, and helping clinicians identify conditions in imaging data. Telecommunications: The telecoms industry is seeing substantial innovation fueled by AI. Customer support bots (49%), customer experience agents (44%), and security monitoring agents (49%) are key deployments. Agents are resolving service issues instantly, flagging at-risk customers using behavior data, and protecting networks from emerging threats. 0 0
