Enterprise AI Takes Center Stage as Over 50% of AI Use Cases Now Deliver Impact: Infosys Research
Infosys (NYSE: INFY) has released its largest AI effectiveness survey, the 'AI Business Value Radar,' analyzing 3,240 companies across 132 AI business use cases. The research reveals that 19% of AI use cases fully meet business objectives, while 32% partially succeed.
The study highlights that IT, operations, and facilities lead AI implementation at 38%, followed by cybersecurity and software development at 30%. White-collar industries like professional services, life sciences, and high tech show higher AI success rates, while travel, manufacturing, and retail sectors struggle.
Key findings show that effective change management and employee training can boost AI success rates by up to 18 percentage points, though only 16% of companies have implemented such measures. The report recommends five critical steps for AI success, including accelerating agentic AI, adopting a product-centric mindset, and creating an AI governance taskforce.
Infosys (NYSE: INFY) ha pubblicato il suo più grande sondaggio sull'efficacia dell'AI, il 'AI Business Value Radar', analizzando 3.240 aziende in 132 casi d'uso aziendale dell'AI. La ricerca rivela che il 19% dei casi d'uso dell'AI soddisfa pienamente gli obiettivi aziendali, mentre il 32% ha successo solo parzialmente.
Lo studio evidenzia che IT, operazioni e strutture guidano l'implementazione dell'AI con il 38%, seguiti dalla cybersecurity e dallo sviluppo software con il 30%. Le industrie a elevato contenuto professionale come i servizi professionali, le scienze della vita e l'alta tecnologia mostrano tassi di successo dell'AI più elevati, mentre i settori del viaggio, della produzione e del retail faticano.
I risultati chiave mostrano che una gestione del cambiamento efficace e la formazione dei dipendenti possono aumentare i tassi di successo dell'AI fino a 18 punti percentuali, anche se solo il 16% delle aziende ha implementato tali misure. Il rapporto raccomanda cinque passi critici per il successo dell'AI, tra cui accelerare l'AI agentica, adottare una mentalità incentrata sul prodotto e creare un gruppo di lavoro per la governance dell'AI.
Infosys (NYSE: INFY) ha publicado su encuesta más grande sobre la efectividad de la IA, el 'AI Business Value Radar', analizando 3,240 empresas en 132 casos de uso empresarial de IA. La investigación revela que el 19% de los casos de uso de IA cumplen completamente con los objetivos empresariales, mientras que el 32% tiene éxito de manera parcial.
El estudio destaca que TI, operaciones e instalaciones lideran la implementación de IA con un 38%, seguidos por ciberseguridad y desarrollo de software con un 30%. Las industrias de cuello blanco como los servicios profesionales, las ciencias de la vida y la alta tecnología muestran tasas de éxito de IA más altas, mientras que los sectores de viajes, manufactura y venta al por menor enfrentan dificultades.
Los hallazgos clave muestran que una gestión del cambio efectiva y la capacitación de empleados pueden aumentar las tasas de éxito de IA hasta 18 puntos porcentuales, aunque solo el 16% de las empresas ha implementado tales medidas. El informe recomienda cinco pasos críticos para el éxito de la IA, incluyendo acelerar la IA agentiva, adoptar una mentalidad centrada en el producto y crear un grupo de trabajo para la gobernanza de la IA.
인포시스 (NYSE: INFY)는 'AI 비즈니스 가치 레이더'라는 가장 큰 AI 효과성 조사를 발표했으며, 132개의 AI 비즈니스 사용 사례에 대해 3,240개 회사를 분석했습니다. 연구 결과 AI 사용 사례의 19%가 비즈니스 목표를 완전히 충족하며, 32%는 부분적으로 성공하는 것으로 나타났습니다.
이 연구는 IT, 운영 및 시설이 38%로 AI 구현을 주도하고 있으며, 사이버 보안 및 소프트웨어 개발이 30%로 뒤를 잇고 있음을 강조합니다. 전문 서비스, 생명 과학 및 첨단 기술과 같은 화이트칼라 산업은 더 높은 AI 성공률을 보이는 반면, 여행, 제조 및 소매 부문은 어려움을 겪고 있습니다.
주요 발견에 따르면 효과적인 변화 관리와 직원 교육이 AI 성공률을 18 퍼센트 포인트까지 높일 수 있지만, 이러한 조치를 시행한 기업은 단 16%에 불과합니다. 보고서는 AI 성공을 위한 다섯 가지 중요한 단계를 권장하며, 여기에는 에이전틱 AI 가속화, 제품 중심 사고 방식 채택, AI 거버넌스 태스크포스 구성 등이 포함됩니다.
Infosys (NYSE: INFY) a publié sa plus grande enquête sur l'efficacité de l'IA, le 'AI Business Value Radar', analysant 3 240 entreprises à travers 132 cas d'utilisation commerciale de l'IA. La recherche révèle que 19% des cas d'utilisation de l'IA répondent pleinement aux objectifs commerciaux, tandis que 32% réussissent partiellement.
L'étude souligne que l'informatique, les opérations et les installations mènent l'implémentation de l'IA avec 38%, suivis par la cybersécurité et le développement logiciel à 30%. Les industries de cols blancs comme les services professionnels, les sciences de la vie et la haute technologie affichent des taux de succès de l'IA plus élevés, tandis que les secteurs du voyage, de la fabrication et du commerce de détail rencontrent des difficultés.
Les résultats clés montrent qu'une gestion du changement efficace et la formation des employés peuvent augmenter les taux de succès de l'IA jusqu'à 18 points de pourcentage, bien que seulement 16% des entreprises aient mis en œuvre de telles mesures. Le rapport recommande cinq étapes critiques pour le succès de l'IA, y compris l'accélération de l'IA agentique, l'adoption d'une mentalité centrée sur le produit et la création d'un groupe de travail sur la gouvernance de l'IA.
Infosys (NYSE: INFY) hat seine größte Umfrage zur Effektivität von KI, den 'AI Business Value Radar', veröffentlicht, die 3.240 Unternehmen in 132 KI-Geschäftsanwendungsfällen analysiert. Die Forschung zeigt, dass 19% der KI-Anwendungsfälle die Geschäftszielsetzungen vollständig erfüllen, während 32% teilweise erfolgreich sind.
Die Studie hebt hervor, dass IT, Betrieb und Einrichtungen mit 38% die Implementierung von KI anführen, gefolgt von Cybersicherheit und Softwareentwicklung mit 30%. Branchen mit Bürotätigkeiten wie professionelle Dienstleistungen, Lebenswissenschaften und Hochtechnologie zeigen höhere KI-Erfolgsquoten, während die Reise-, Fertigungs- und Einzelhandelssektoren Schwierigkeiten haben.
Wichtige Erkenntnisse zeigen, dass effektives Changemanagement und Mitarbeiterschulungen die KI-Erfolgsquoten um bis zu 18 Prozentpunkte steigern können, obwohl nur 16% der Unternehmen solche Maßnahmen umgesetzt haben. Der Bericht empfiehlt fünf kritische Schritte für den KI-Erfolg, einschließlich der Beschleunigung agentischer KI, der Annahme einer produktzentrierten Denkweise und der Bildung einer KI-Governance-Arbeitsgruppe.
- Comprehensive research covering 3,240 companies provides credible market insights
- 51% of AI use cases show full or partial success in meeting objectives
- Clear identification of successful AI implementation areas and industries
- Evidence of significant ROI potential with proper change management
- Only 19% of AI use cases fully meet business objectives
- Only 16% of companies have implemented effective AI change management
- Several major industries struggling with AI implementation
- Financial services underperforming despite being a white-collar industry
- Agentic AI emerges as a priority for operating model transformation
- Effective employee engagement and change management improve AI success by up to 18 percentage points
BENGALURU,
The research reveals that
Key Findings and Recommendations from the Infosys AI Business Value Radar Report
High-performing Industries:
- White-collar and technically focused industries, such as professional services, life sciences, high tech, telecommunications, and insurance tend to achieve more success from AI.
- Financial services are the only white-collar industry that ranks just below average on performance, likely due to regulatory and data modernization challenges.
- However, AI is not benefiting all industries equally: Travel and hospitality, manufacturing, retail, and the public sector struggle to achieve consistent success.
Top Use Cases:
- IT, operations, and facilities is the most pursued AI use case category, with
38% of respondents implementing it. This is followed by cybersecurity, resilience, and software development, with30% pursuing these categories. Use cases in these categories are10% -15% more likely to succeed. - The next most pursued are marketing, customer service, and sales.
- Industry-specific applications, such as claims processing in insurance and clinical trials in life sciences, tend to improve core business operations. These use cases typically require transformation of data and technical architecture.
Change Management:
- Only
16% of companies have implemented effective change management and employee training for AI. - Companies that have taken initial steps to address AI can nearly double their likelihood of success with AI deployments by fully investing in workforce AI readiness.
Key Recommendations: The report recommends these five critical steps to become AI-first and generate business value from AI deployments:
- Accelerate agentic AI as a route to operating model transformation.
- Speed up innovation by simultaneous experimenting through an AI foundry and AI factory model.
- Prepare employees by investing in training to achieve an 18-percentage point uplift in use case success.
- Adopt a product-centric mindset to support AI operating models.
- Create an AI governance task force to reduce risk and improve accountability.
Satish H C, EVP, Chief Delivery Officer, Infosys, said, "Enterprise AI is ready to scale. With effective use of data architecture, operating models, and employee readiness, businesses can accelerate their adoption of AI to achieve measurable success. Our research indicates that agentic AI is critical to operating model transformation. We expect this to develop significantly over the coming year to become the driving force of enterprise transformation as it reshapes business processes, operating models, and technical architectures."
Jeff Kavanaugh, Head of Infosys Knowledge Institute, said, "In our largest AI research to date, we have uncovered the drivers of AI business success. Organizations that go beyond experimentation and fundamentally change their operating model, as well as support their employees through the journey, are most likely to thrive in the era of Enterprise AI."
To read the full report with detailed insights, please visit here.
About Infosys
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.
Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next.
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FAQ
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