October 1, 2024
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Two-thirds of enterprises are increasing their investments in Generative AI and are already seeing strong returns. Of those, 42% say that efficiency, productivity, and cost reduction are the primary benefits, while 58% report a broader range of advantages [source]. To give you an idea, the global market for Generative AI in enterprises is expected to grow at a 46.47% CAGR by 2030, reaching $356.10 billion [source]. It’s clear that this technology is here to stay.
Source: Statista Market Insights
However, the path to successfully adopting Generative AI remains unclear for many enterprises. The issue isn’t with the technology itself but rather the lack of a clear roadmap to adopt Generative AI. This guide will explore how enterprises can effectively employ Generative AI and leverage NexGen Cloud's AI Supercloud to overcome common adoption challenges and lead with Generative AI's full potential.
Similar Read: 10 Most Popular Use Cases of AI in Enterprise in 2025
Why Enterprises Struggle with Generative AI?
Despite the potential of Generative AI, many enterprises struggle to integrate it into their operations. But the question is why? The market is filled with hype and the distinction between realistic expectations and exaggerated claims of Generative AI is blurred. Hence, enterprises often face:
- Uncertainty about where to begin and which Generative AI applications to prioritise.
- Lack of infrastructure to support large-scale Generative AI models.
- Budget constraints to train large-scale Generative AI models.
- Concerns for data privacy, security, and model governance.
- A shortage of in-house AI talent to manage and optimise AI workflows.
Large language models (LLMs), image generation tools and other Generative AI systems require high-performance computing (HPC) resources and advanced infrastructure. Without the proper roadmap, enterprises risk investing in AI projects that fail to deliver market value and bring ROI.
Why Enterprises Should Prioritise Generative AI Adoption
Enterprises should not think twice but prioritise the adoption of Generative AI into their operations to lead in the market. We all know that AI will continue to advance, so it becomes imperative for organisations to adopt Generative AI early and be better positioned to outperform competitors and capitalise on opportunities.
Here are the key reasons why enterprises should make Generative AI adoption a priority:
Boost Efficiency and Productivity
One of the most immediate benefits of Generative AI is its ability to automate repetitive and time-consuming tasks. By leveraging AI models for tasks like content generation, customer service automation, and data analysis, enterprises can free up human resources to focus on more strategic and high-value activities. As the Deloitte report on the state of Generative AI says- 42% of companies using Generative AI report improvements in efficiency, productivity and cost reduction as the most significant benefits.
Customer Experience is a Priority
Generative AI enables businesses to offer highly personalised customer interactions, improving engagement and satisfaction. AI-driven chatbots, recommendation engines, and customer service tools can analyse user behavior in real-time, delivering tailored responses and solutions. This level of personalisation helps to build stronger relationships with customers, ultimately driving loyalty and increasing lifetime value. The Deloitte State of the Generative AI Report reveals their survey results. The results show that around 67% of organisations that they surveyed are increasing investments in Generative AI because they have seen strong value to date. A head of AI strategy says:
Before GenAI, most senior leaders only had a vague understanding of what AI was or what it can do. Now, they have AI at their fingertips, and it has opened their eyes to possibilities. We have applied for additional resources.
Create New Business Models
Generative AI can help enterprises experiment with innovative products and services. Whether it's automating creative processes, enhancing product designs, or developing new applications, Generative AI allows businesses to explore a wide range of applications. Early adopters of Generative AI are already using it to prototype products, generate new content and streamline operations to accelerate time to market and improve competitive positioning.
Stay Ahead of Competitors
With the market size for Generative AI expected to grow at a 46.47% CAGR from this year to 2030, enterprises that fail to adopt Generative AI risk falling behind competitors that are leveraging its full potential. By integrating Generative AI into your operations now, you can stay ahead of the curve and build a foundation for future growth.
How to Overcome the Challenges of Generative AI Adoption?
Despite the clear benefits of Generative AI, many enterprises face significant challenges when trying to adopt it at scale. NexGen Cloud’s AI Supercloud is your comprehensive solution to overcome these obstacles:
Infrastructure and Scalability
One of the biggest challenges in adopting Generative AI is the massive computational power required to train and deploy large-scale models. Many enterprises lack the necessary infrastructure to support these workloads. NexGen Cloud’s Cutting-Edge Hardware addresses this issue by providing access to the latest NVIDIA GPUs, including the upcoming NVIDIA Blackwell Range along with advanced liquid cooling systems, high-performance storage and optimised networking. We also offer flexible data sovereignty so you can choose the region where your infrastructure is deployed, ensuring compliance with local data regulations.
Customised Solutions for AI Workloads
Every enterprise has unique needs and off-the-shelf solutions rarely deliver optimal performance. NexGen Cloud offers Customised Solutions that allow businesses to tailor their hardware and software configurations. Whether it's choosing the right combination of GPU, CPU, RAM, storage or middleware, NexGen Cloud provides bespoke configurations optimised for specific Generative AI workloads. As an official NVIDIA NCP Partner, we leverage NVIDIA best practices to ensure these configurations offer both high performance and cost efficiency, making it easier for enterprises to deploy Generative AI solutions that meet their needs without over-investing in resources.
With You Throughout the AI Journey
Adopting Generative AI can be complex, particularly for organisations that lack in-house AI expertise. NexGen Cloud’s Expert Support solves this problem by providing dedicated Technical Account Managers and AI specialists who guide businesses through every step of the AI journey. From initial migration to ongoing optimisation, this hands-on support ensures that enterprises can adopt Generative AI without needing to build a deep in-house team of specialists, reducing the complexity of AI adoption.
Fully Managed Services
Managing AI infrastructure can be daunting, especially when it comes to lifecycle management, training and deploying models. NexGen Cloud offers Managed Kubernetes and MLOps Support, providing fully managed Kubernetes environments optimised for AI workloads. With MLOps-as-a-Service, enterprises can manage the entire lifecycle of their Generative AI models, from training to deployment and scaling without the need for specialised infrastructure management. This means that you can focus on leveraging AI, while NexGen Cloud handles the backend operations.
Burst Scalability with Hyperstack
Managing fluctuating computational demands while training large-scale Generative AI models is hard. Some workloads require massive computational power for short periods, making it difficult to justify long-term infrastructure investments. We understand this at NexGen Cloud and offer Hyperstack, our cloud platform that provides burst scalability for businesses to scale their compute resources on demand. This way, enterprises can handle temporary spikes in computational needs without long-term commitments, making it ideal for experimentation with Generative AI models that require high performance only during specific phases of development.
Conclusion
While technology is a critical component, the success of Generative AI projects depends on having the right partner to guide your journey. NexGen Cloud is your trusted partner in this journey as we offer cutting-edge infrastructure, tailored solutions, expert support and end-to-end services that make Generative AI adoption seamless. With NexGen Cloud's AI Supercloud, your enterprise can scale its operations to drive innovation, efficiency and growth while prioritising sustainability and cost-effectiveness. We integrate the world’s most energy-efficient NVIDIA GPUs with 100% renewable energy and our partnerships with LEED-certified, Tier 3 data centers minimise environmental impact. With data sovereignty and security, you can confidently deploy in your preferred region while reducing costs and energy consumption with advanced cooling systems.
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FAQs
What are some practical use cases of Generative AI in enterprises?
Generative AI in Enterprises could be used for automating content creation, improving customer service with AI chatbots, personalising recommendations and accelerating product design.
How can Generative AI enhance customer experiences?
Generative AI enables real-time personalisation through AI-driven tools like recommendation engines and chatbots, improving engagement, satisfaction, and loyalty.
What are the main challenges enterprises face in adopting Generative AI?
Enterprises struggle with a lack of infrastructure, budget constraints, and a shortage of skilled AI talent. These challenges hinder their ability to adopt Generative AI effectively at scale.
How does the AI Supercloud support enterprises in adopting Generative AI?
AI Supercloud provides cutting-edge hardware, customised AI solutions, expert support, and fully managed services to help businesses overcome adoption challenges and scale Generative AI solutions.
How does the AI Supercloud ensure sustainability in its AI solutions?
AI Supercloud integrates energy-efficient NVIDIA GPUs, renewable energy sources, and advanced cooling systems. It also uses LEED-certified, Tier 3 data centers to minimise environmental impact.
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