The Rise of Enterprise AI: Transforming Business Landscapes
March 14, 2025, 4:40 am
Location: United States, California, San Mateo
Employees: 201-500
Founded date: 2006
Total raised: $366.8M
In the world of business, change is the only constant. Today, that change is driven by artificial intelligence (AI). The latest research reveals a seismic shift in how organizations deploy AI. No longer are companies merely dabbling in AI; they are diving in headfirst. The Infosys AI Business Value Radar report shows that over 50% of AI use cases now deliver tangible impact. This is not just a trend; it’s a transformation.
AI is no longer a futuristic concept. It’s here, reshaping industries and redefining operational models. The report surveyed 3,240 companies across 132 AI use cases, revealing that 19% of these cases meet all business objectives, while 32% show promise by partially meeting them. This is a significant leap from the past, where AI was often seen as a gamble rather than a strategy.
The findings highlight a crucial point: organizations that focus on core, transformational AI use cases are more likely to succeed. As AI costs decline, these use cases will deliver even more effective outcomes. The research emphasizes that effective employee engagement and change management can boost AI success rates by up to 18 percentage points. This underscores the importance of not just technology, but also the human element in AI deployment.
Industries are not all benefiting equally from AI. High-performing sectors like professional services, life sciences, and telecommunications are reaping the rewards. In contrast, industries such as travel, hospitality, and manufacturing struggle to achieve consistent success. This disparity raises questions about how different sectors can adapt and leverage AI effectively.
The report identifies IT, operations, and facilities as the most pursued AI use case categories, with 38% of respondents implementing them. Cybersecurity and software development follow closely behind. These areas are 10%-15% more likely to succeed, indicating a clear path for organizations looking to harness AI’s potential.
However, there’s a catch. Only 16% of companies have implemented effective change management and employee training for AI. This gap is a ticking time bomb. Companies that invest in workforce readiness can nearly double their chances of success. The message is clear: to thrive in the AI era, businesses must prioritize training and change management.
To navigate this landscape, the report offers five critical recommendations. First, accelerate agentic AI to transform operating models. Second, foster innovation through simultaneous experimentation. Third, invest in employee training to enhance success rates. Fourth, adopt a product-centric mindset to support AI initiatives. Finally, create an AI governance task force to mitigate risks and improve accountability.
In parallel, GlobalLogic has launched VelocityAI, a suite of AI-powered services designed to help organizations unlock business value. This initiative aims to bridge the gap between AI potential and actual deployment. VelocityAI integrates AI, digital, and human expertise to enhance product development, operations, and customer experiences.
Despite AI’s promise, many organizations struggle to scale it effectively. A 2024 BCG report found that only 26% of companies using AI can move beyond pilot projects. VelocityAI addresses this challenge with a flexible, scalable approach tailored to each organization’s needs.
VelocityAI offers a comprehensive suite of services, including AI-powered software development lifecycle (SDLC) solutions. This offering helps teams securely integrate AI across the software lifecycle, boosting productivity while protecting intellectual property. By leveraging cutting-edge generative AI tools, GlobalLogic enhances development processes, allowing companies to build and scale AI-powered products efficiently.
Intelligence Engineering is another key component of VelocityAI. This service monetizes data across products and operations, ensuring that AI-driven decisions are accurate and secure. The Platform-of-Platforms architecture integrates best-of-breed models and solutions, addressing critical challenges like data privacy and security.
The results speak for themselves. GlobalLogic clients have reported a 30% increase in overall productivity and a 25% reduction in time-to-market. These outcomes demonstrate how AI can drive tangible results across various industries. For instance, a healthcare organization automated patient data extraction, improving response times significantly.
As AI continues to evolve, the need for organizations to adapt becomes more pressing. The combination of AI, digital, and human expertise is not just a luxury; it’s a necessity. Companies that embrace this triad will not only survive but thrive in the competitive landscape.
In conclusion, the rise of enterprise AI is not just a technological shift; it’s a cultural one. Organizations must rethink their operational models, invest in employee training, and prioritize change management. The path to success in the AI era is clear: embrace transformation, foster innovation, and empower employees. The future belongs to those who dare to harness the power of AI. The time to act is now.
AI is no longer a futuristic concept. It’s here, reshaping industries and redefining operational models. The report surveyed 3,240 companies across 132 AI use cases, revealing that 19% of these cases meet all business objectives, while 32% show promise by partially meeting them. This is a significant leap from the past, where AI was often seen as a gamble rather than a strategy.
The findings highlight a crucial point: organizations that focus on core, transformational AI use cases are more likely to succeed. As AI costs decline, these use cases will deliver even more effective outcomes. The research emphasizes that effective employee engagement and change management can boost AI success rates by up to 18 percentage points. This underscores the importance of not just technology, but also the human element in AI deployment.
Industries are not all benefiting equally from AI. High-performing sectors like professional services, life sciences, and telecommunications are reaping the rewards. In contrast, industries such as travel, hospitality, and manufacturing struggle to achieve consistent success. This disparity raises questions about how different sectors can adapt and leverage AI effectively.
The report identifies IT, operations, and facilities as the most pursued AI use case categories, with 38% of respondents implementing them. Cybersecurity and software development follow closely behind. These areas are 10%-15% more likely to succeed, indicating a clear path for organizations looking to harness AI’s potential.
However, there’s a catch. Only 16% of companies have implemented effective change management and employee training for AI. This gap is a ticking time bomb. Companies that invest in workforce readiness can nearly double their chances of success. The message is clear: to thrive in the AI era, businesses must prioritize training and change management.
To navigate this landscape, the report offers five critical recommendations. First, accelerate agentic AI to transform operating models. Second, foster innovation through simultaneous experimentation. Third, invest in employee training to enhance success rates. Fourth, adopt a product-centric mindset to support AI initiatives. Finally, create an AI governance task force to mitigate risks and improve accountability.
In parallel, GlobalLogic has launched VelocityAI, a suite of AI-powered services designed to help organizations unlock business value. This initiative aims to bridge the gap between AI potential and actual deployment. VelocityAI integrates AI, digital, and human expertise to enhance product development, operations, and customer experiences.
Despite AI’s promise, many organizations struggle to scale it effectively. A 2024 BCG report found that only 26% of companies using AI can move beyond pilot projects. VelocityAI addresses this challenge with a flexible, scalable approach tailored to each organization’s needs.
VelocityAI offers a comprehensive suite of services, including AI-powered software development lifecycle (SDLC) solutions. This offering helps teams securely integrate AI across the software lifecycle, boosting productivity while protecting intellectual property. By leveraging cutting-edge generative AI tools, GlobalLogic enhances development processes, allowing companies to build and scale AI-powered products efficiently.
Intelligence Engineering is another key component of VelocityAI. This service monetizes data across products and operations, ensuring that AI-driven decisions are accurate and secure. The Platform-of-Platforms architecture integrates best-of-breed models and solutions, addressing critical challenges like data privacy and security.
The results speak for themselves. GlobalLogic clients have reported a 30% increase in overall productivity and a 25% reduction in time-to-market. These outcomes demonstrate how AI can drive tangible results across various industries. For instance, a healthcare organization automated patient data extraction, improving response times significantly.
As AI continues to evolve, the need for organizations to adapt becomes more pressing. The combination of AI, digital, and human expertise is not just a luxury; it’s a necessity. Companies that embrace this triad will not only survive but thrive in the competitive landscape.
In conclusion, the rise of enterprise AI is not just a technological shift; it’s a cultural one. Organizations must rethink their operational models, invest in employee training, and prioritize change management. The path to success in the AI era is clear: embrace transformation, foster innovation, and empower employees. The future belongs to those who dare to harness the power of AI. The time to act is now.