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10 Key Findings From AWS Generative AI Adoption Index
10 Key Findings From AWS Generative AI Adoption Index

Forbes

time13-05-2025

  • Business
  • Forbes

10 Key Findings From AWS Generative AI Adoption Index

AWS GenAI Adoption Index For all the buzz about artificial intelligence reshaping work, concrete data on how it's happening has been scarce. That is starting to change. Amazon Web Services, in collaboration with Access Partnership, has released the "AWS Generative AI Adoption Index," an initiative to rigorously track AI's impact on organizations and their adoption strategies. Released this month, the index offers data-driven insight into how businesses incorporate generative AI into their operations. It is based on responses from over 3,739 IT decision-makers across nine countries rather than hypothetical projections. The goal is to provide executives with an empirical baseline for strategic decisions regarding AI, cutting through the hype with actual data on where AI is making an impact. Here are 10 key takeaways from the AWS Generative AI Adoption Index report: The index reveals that 45% of surveyed IT decision-makers ranked generative AI tools as their top budget priority for 2025, surpassing traditional priorities like security tools (30%). This shift underscores a growing focus on AI-driven innovation and growth across organizations. Impact: Businesses should carefully balance innovation and security when allocating IT budgets, ensuring AI adoption doesn't compromise their security posture. A remarkable 60% of organizations have already appointed Chief AI Officers, with another 26% planning appointments by 2026. This trend reflects a fundamental shift in how organizations view AI—not merely as another technological tool but as a breakthrough requiring strategic oversight at the highest levels. Impact: Organizations should consider establishing clear AI leadership roles to ensure coordinated, strategic implementation across departments. While 90% of organizations now deploy generative AI tools, 44% have advanced beyond early testing to production deployment. Organizations conducted an average of 45 AI experiments in 2024, but only 20 will reach end-users by 2025, highlighting implementation challenges. Impact: Companies should focus on bridging the gap between experimentation and production by addressing technical and organizational barriers. Organizations identify lack of skilled AI workforce as the biggest barrier (55%) preventing them from taking generative AI experiments into production. Other challenges include perceived high costs (48%) and concerns about biases and hallucinations (40%). Impact: Organizations need comprehensive talent strategies that combine hiring, training and partnership with external experts. Rather than developing solutions from scratch, most organizations customize pre-existing AI models to fit their workflows and datasets. Only 25% intend to deploy solutions developed in-house from scratch, while 58% plan to build custom applications on out-of-the-box models. Impact: Businesses should evaluate their specific needs to determine the optimal blend of custom development and ready-made solutions. Interestingly, 44% of financial services firms plan to use out-of-the-box solutions, departing from traditional custom development approaches. This reflects the growing recognition of the benefits of faster deployment and access to advanced AI capabilities that out-of-the-box applications can offer. Impact: Even heavily regulated industries can benefit from pre-built AI solutions with appropriate customization and oversight. External partners are emerging as key enablers of AI transformation, with 65% of organizations planning vendor collaboration for deployment. Strong partnerships between external expertise and internal capabilities will be critical for successful generative AI deployment. Impact: Organizations should develop strategic partnerships with vendors who can provide both technology and implementation expertise. To address the talent gap, 56% of organizations have already developed generative AI training plans, with another 19% planning to do so by end-2025. However, 52% report that a limited understanding of employees' AI training needs is the top challenge in developing these plans. Impact: Companies should conduct thorough skills assessments before designing AI training programs. In 2025, 92% of organizations plan to recruit for new roles requiring generative AI expertise. For 26% of those surveyed, at least half of new positions will demand AI skills, with the ICT sector leading this trend at 35%. Impact: Organizations should begin developing AI-focused recruitment strategies immediately to compete for limited talent. While only 14% of organizations currently have a change management strategy for AI adoption, this will increase to 76% by end-2026. However, a concerning 24% will still lack formal transformation strategies by then. Impact: Businesses must develop comprehensive change management approaches that address operating models, data practices and organizational culture to successfully integrate AI. Looking forward, the AWS study suggests that generative AI's role in the workplace will continue to evolve and expand. Organizations that view AI as a collaborative partner rather than a replacement technology will be best positioned to capture its benefits. Success will require ongoing investment in workforce training, careful attention to emerging AI capabilities and a commitment to fostering a culture that embraces AI-human collaboration. The key to thriving in this new landscape lies not in wholesale automation but in thoughtful integration that enhances human capabilities while preserving the unique value that human workers bring to their roles. Organizations that master this balance will be best positioned to compete in an increasingly AI-enhanced business environment.

UAE launches Artificial Intelligence Academy with short programmes in multiple languages
UAE launches Artificial Intelligence Academy with short programmes in multiple languages

Khaleej Times

time25-04-2025

  • Business
  • Khaleej Times

UAE launches Artificial Intelligence Academy with short programmes in multiple languages

UAE has launched the Artificial Intelligence Academy, an initiative that aims to develop a new generation of AI leaders. The academy combines advanced research with real-world industry insights, strengthening the Middle East's position in global AI innovation. The AI ​​Academy, launched by the Polynom Group in collaboration with the Abu Dhabi School of Management, offers a series of short programmes specifically designed for executives, senior government officials, and technical professionals. These programmes will cover the fundamental concepts of AI, national AI strategies, generative AI tools, and executive-level applications that facilitate leaders' access to various sectors. These short programmes will be available in multiple languages ​​and will form the basis for broader AI capacity building efforts. The strategic partnership agreement was officially signed in the presence of Sheikh Nahyan bin Mubarak Al Nahyan, Minister of Tolerance and Coexistence, during the annual professional AI summit, "The Machines Can See Summit." Following the initial launch, the Academy will also launch the Chief AI Officer (CAIO) Program, a pioneering 3-4-month leadership programme designed to empower a new generation of AI decision-makers. Comprising eight advanced modules, the programme provides participants with a comprehensive foundation in AI strategies, governance, and deployment across multiple industries such as finance, healthcare, and public administration. Participants will attend exclusive seminars led by leading scientists and global industry leaders, providing them with firsthand insight into the latest research and innovations in areas such as computer vision, large language models, sovereign AI, and AI ethics. These sessions will foster fruitful dialogue and provide practical and strategic insights for those shaping the future of AI in the region. The academy will also integrate NVIDIA's expertise and technologies into select programmes, contributing to the shared mission of accelerating AI readiness and real-world application across the region. Alexander Khanin, founder of the Polynom Group, emphasised the group's commitment to bridging the gap between scientific discovery and commercial applications of artificial intelligence. He noted that through its collaboration with the Abu Dhabi School of Management and NVIDIA, the group is poised to deliver a unique educational experience that fosters innovation and responsible technical leadership. Dr Tayeb Kamali, Chairman of the Abu Dhabi School of Management, emphasised that the launch of the Artificial Intelligence Academy, which focuses on providing leaders in the region with the tools and insights needed to harness the transformative potential of AI, reflects the ongoing commitment to innovation in management education and positions the UAE as a global center for leadership in AI in business. He explained that the goal of this partnership is to empower the next generation of changemakers to lead future trends in a world increasingly dependent on technology and data. The AI ​​Academy serves as a catalyst for collaborative research projects, networking opportunities, and startup incubation.

Polynome Group in partnership with Abu Dhabi School of Management launches 'The AI Academy'
Polynome Group in partnership with Abu Dhabi School of Management launches 'The AI Academy'

Zawya

time24-04-2025

  • Business
  • Zawya

Polynome Group in partnership with Abu Dhabi School of Management launches 'The AI Academy'

Abu Dhabi, UAE — Polynome Group is proud to announce the launch of The AI Academy, an AI-focused educational initiative in collaboration with the Abu Dhabi School of Management. The Academy aims to foster a new generation of AI leaders by blending cutting-edge research with real-world industry insights, further strengthening the Middle East's position in global AI innovation. Academy & AI Education Executive Seminars and Specialized Short-Term Programs AI Academy will first roll out a series of short-format programs tailored for executives, high-level government officials, and technical specialists. These highly curated sessions will cover core AI concepts, national strategies, generative AI tools, and executive-level applications—making AI more accessible to leaders across sectors. These short-term offerings will be available in multiple languages and will serve as a foundation for broader AI capacity-building efforts. Chief AI Officer (CAIO) Program Following the initial rollout, the Academy will launch the Chief AI Officer Program (CAIO)—a 3–4 month flagship leadership journey designed to empower a new wave of AI decision-makers. Structured into eight advanced modules, the CAIO program will provide participants with a comprehensive foundation in AI strategy, governance, and deployment across sectors such as finance, healthcare, and public administration. As part of the program, participants will engage in exclusive seminars led by top-tier scientists and global industry leaders, gaining firsthand exposure to the latest research and innovations in areas such as computer vision, large language models, sovereign AI, and AI ethics. These sessions will foster meaningful dialogue, practical insight, and strategic foresight for those shaping the region's AI future. Strategic Collaboration with NVIDIA As part of its ongoing commitment to advancing practical AI education, Polynome-AI Academy is proud to collaborate with NVIDIA. This initiative will support the Academy's vision by integrating NVIDIA's expertise and technologies into select programs—reinforcing our shared mission to accelerate AI readiness and real-world deployment across the region. Alexander Khanin, Founder of Polynome Group, commented: 'We're committed to bridging the gap between scientific discovery and commercial applications of AI. By teaming up with Abu Dhabi School of Management and NVIDIA, we're poised to provide an unparalleled educational experience that nurtures both innovation and responsible tech leadership.' Dr. Tayeb Kamali, Chairman of the Board at Abu Dhabi School of Management, stated: ' We are delighted to join hands with Polynome Group in launching the AI Academy that is focused on equipping leaders across the region with the tools and insights needed to harness the transformative potential of AI. This initiative reflects our enduring commitment to innovation in management education and our vision to position the UAE as a global hub for forward-looking AI in Business leadership. Through this partnership, we aim to empower the next generation of changemakers to lead with purpose in an increasingly technology and data-driven world.' Driving Innovation & Collaboration AI Academy will serve as a catalyst for collaborative research projects, networking opportunities, and startup incubation. The program underscores Polynome Group's broader mission to foster ethical AI progress, empower entrepreneurs, and drive sustainable growth in AI-driven industries throughout the UAE and beyond. Building on a Strong Legacy Polynome Group is known for organizing the 'Machines Can See' summit, a global think tank that brings together government officials, leading AI experts, and major investors. The launch of AI Academy aligns with this legacy, offering hands-on educational programs that further support AI commercialization, research, and ethical deployment. About Polynome Group Polynome Group is dedicated to accelerating AI innovation through events, educational programs, and investment opportunities. Its flagship event, the ' Machines Can See' summit, has become a premier platform where breakthroughs are revealed and future partnerships are forged — empowering businesses and governments to harness the transformative power of AI. About Abu Dhabi School of Management Established by the Abu Dhabi Chamber, the Abu Dhabi School of Management (ADSM) is committed to developing future leaders through innovative management education. ADSM provides a full range of fully accredited graduate and undergraduate programs and executive education courses designed to equip graduates with the knowledge and skills to excel in a dynamic and competitive global business environment.

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