Generative AI (GenAI) is making waves across industries, from manufacturing and finance to legal and research. The technology is capable of transforming businesses by automating routine tasks, driving innovation, and providing significant productivity gains. But while GenAI offers enormous promise, successfully adopting it into your organisation is not without its challenges.
Many companies, regardless of industry, face common barriers when attempting to integrate AI into their operations. Whether it’s concerns about data sovereignty, scalability, or understanding how to maximise the return on investment, the path to successful AI adoption is complex. In this blog, we’ll explore the importance of GenAI, the key challenges businesses face, and how you can overcome them with Dell Technologies GenAI Accelerator Workshop.
The impact of GenAI on today’s business landscape cannot be overstated. This advanced technology has the potential to fundamentally reshape the anatomy of work, augmenting human capabilities by automating time-consuming tasks. Research indicates that 77% of business leaders believe GenAI will have the most significant impact on their operations among all emerging technologies1, and for a good reason. GenAI enables knowledge workers to increase productivity, often recovering 60-70% of their time through automation2.
As AI becomes more widespread, businesses across sectors are recognising its ability to drive growth. According to recent data, implementing GenAI can lead to a 14% increase in issues-resolved-per-hour in customer service2, with a 9% decrease in time spent managing issues2. These statistics highlight just how transformative GenAI can be when adopted effectively.
However, the benefits don’t stop there. Generative AI offers unprecedented growth opportunities by unlocking the value hidden in data. It allows organisations to generate new insights, personalise customer experiences, and even expand into new markets. Yet, many companies are struggling to move from proof of concept to proof of productivity.
Despite its promise, the road to AI success is not always smooth. Many businesses face critical challenges in AI adoption, such as:
- Data quality and sovereignty: Leveraging your organization’s data is essential for AI, but trust remains a major issue. In fact, 73% of organisations won’t fully embrace AI unless they can control data access3. For many, public cloud options raise concerns about third-party access to sensitive data.
- Energy consumption and cost efficiency: As GenAI models grow in complexity, energy consumption becomes a significant factor. Seventy percent of businesses are actively working to reduce their AI carbon footprint3, and so deciding on the right-sized GenAI model is crucial.
- Accountability: AI can be unpredictable, and 77% of organisations are concerned about AI malfunction and bias3. Having the right governance and risk mitigation strategies in place is critical to avoid unintended outcomes.
- Data privacy and compliance: Data breaches, IP infringement, and data leakage are real risks that can derail AI projects. Organisations must strike a balance between innovation and compliance, ensuring they stay on the right side of regulations while harnessing AI’s potential.
To help you navigate these challenges, First Technology in partnership with Dell Technologies are offering an exclusive GenAI Accelerator Workshop. This hands-on, personalised session will equip your team with the tools and knowledge needed to maximise GenAI’s potential while mitigating risks. It is designed to address your organisation’s unique requirements and guide you through the steps necessary for successful AI adoption.
During the workshop, First Technology and Dell’s AI experts will work closely with your team to identify specific pain points and opportunities within your organisation. They’ll help you build a strategic roadmap, ensuring that your AI models are aligned with your business objectives and compliant with data privacy regulations.
- Assessing your current AI strategy
- Data management and protection in AI models
- Identifying and prioritising AI use cases
- Building and scaling AI platforms
By the end of the workshop, you’ll have a clear, actionable plan for adopting AI in a way that drives business outcomes while maintaining full control of your data and infrastructure.
1. Generative AI: From Buzz to Business Value, KPMG, May 2023
2. The economic potential of generative AI: The next productivity frontier, McKinsey
3. Innovation Catalysts study, Dell Technologies, February 2024, Dell.com/InnovationCatalyst
