Table of Contents
- Introduction
- The Potential of Generative AI for Enterprises
- Key Developments in the Generative AI Market
- Rackspace's FAIR Practice and Partnerships
- Insight's Secure and Scalable Generative AI Service
- 66degrees' View on Generative AI
- Triggering Innovation Amid Economic Challenges
- The Dual Purpose of Customer Investment in Generative AI
- Positive ROI in the Future
- Rackspace's Focus on Generative AI
- Conclusion
Introduction
As more service providers recognize the potential of generative AI, they are investing in the development of offerings and practices around this transformative technology. This article explores the emergence of generative AI as a catalyst for enterprise growth and its impact on technology investment.
The Potential of Generative AI for Enterprises
Companies that have experienced rapid digitalization and cloud growth rates have had to face challenges such as inflation, economic uncertainty, and tighter IT budgets. However, the sudden emergence of generative AI provides a glimmer of hope for enterprises, sparking interest and inspiring service providers to develop innovative offerings.
Key Developments in the Generative AI Market
Several significant developments in the generative AI market have highlighted the importance of this technology for solutions providers, consultancies, and integrators. Accenture, a leading professional services firm, established a generative AI and large language model center of excellence in March 2023, signaling its commitment to this technology. PwC and KPMG have also announced plans to invest in generative AI, demonstrating the increasing interest in leveraging AI capabilities.
Rackspace’s FAIR Practice and Partnerships
Rackspace, a prominent multi-cloud technology solutions provider, has recently launched its generative AI practice called FAIR (Foundry for Generative AI by Rackspace). This practice aims to guide customers through the process of adopting generative AI, from ideation to industrialization. Rackspace has formed partnerships with various hyperscalers and open-source AI companies, such as Hugging Face and Stability AI, to enhance its generative AI services.
Insight’s Secure and Scalable Generative AI Service
Insight Enterprises, a solutions integrator, has introduced a generative AI service called Insight Lens for GenAI. This service focuses on creating secure and scalable enterprise instances of generative AI within customers’ environments. Insight aims to help organizations integrate generative AI capabilities into their corporate systems and processes, thereby boosting productivity and generating positive impacts on services revenue.
66degrees’ View on Generative AI
66degrees, a Google Cloud Premier partner, considers generative AI a major contributing factor to its AI/ML practice. The company’s data scientists and AI/ML practitioners collaborate with customers on digital transformation initiatives. For example, 66degrees worked with Designer Brands, a footwear designer and retailer, to implement a customer personalization and recommendation project using Google Cloud’s analytics and AI/ML capabilities.
Triggering Innovation Amid Economic Challenges
Generative AI has arrived at a time when many companies have focused on optimization and making the most of their current assets and processes. However, the advent of generative AI has reignited companies’ desire to dive back into innovation. The possibilities offered by generative AI have sparked creativity and a drive for innovation that has been lacking in recent years.
The Dual Purpose of Customer Investment in Generative AI
Customer investment in generative AI can serve a dual purpose. While some use cases focus on productivity and optimization, others emphasize innovation. Companies invest in generative AI to improve their business processes, corporate functions, and employee productivity. The return on investment from generative AI can be attractive if the technology is properly implemented.
Positive ROI in the Future
According to a Forrester Research report, certain generative AI use cases have the potential to provide a return on investment today. However, careful consideration is necessary when selecting deployment locations. In general, generative AI is expected to achieve positive ROI within two to four years. Forbes ranks generative AI among its top 10 emerging technologies for digital business, highlighting its potential for driving growth and innovation.
Rackspace’s Focus on Generative AI
Rackspace has positioned itself to capitalize on the accelerating adoption of generative AI. The company’s recently deployed two-business-unit operating model includes a dedicated public cloud business unit that houses its FAIR practice. Rackspace anticipates significant activity related to generative AI among hyperscalers such as AWS, Google, and Microsoft Azure. Additionally, the private cloud business unit continues to experience demand for generative AI capabilities from AI startups seeking robust compute and storage capabilities.
Conclusion
Generative AI has emerged as a game-changer for enterprises, offering the potential for growth and innovation. Service providers and consultancies are investing in generative AI practices and offerings, recognizing the importance of this technology. Companies like Rackspace, Insight Enterprises, and 66degrees are providing generative AI services and solutions to help customers leverage the power of AI to drive their businesses forward. The increasing interest in generative AI is expected to fuel a spending wave similar to the earlier internet, mobile, and cloud investment phases, providing new opportunities for growth and development. As the market evolves, the impact of generative AI on financial growth strategies will continue to be a key focus area for enterprises and service providers alike.
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