Unlock the Brilliance of Generative AI with Data Preparation

Over the years there have been many new technologies that have induced a market frenzy after they were introduced.

Some prominent examples – think Blockchain, Cryptocurrencies, Big Data and Virtual Reality – have yet to justify the intense media coverage and investment. But a few technologies transcend the hype to transform entire industries.

Generative AI is the latest example. After the public launch of ChatGPT, which in just two months saw an uptake of 100 million users, there is now an arms race between a slew of public chatbots to develop ever more powerful GenAI platforms. The race is even set to go nuclear, with Microsoft already announcing an investment in nuclear fusion technology to meet the huge power demands of the data centers needed to support GenAI.

But these publicly available chatbots are just the tip of the GenAI revolution, as the technology is now being tightly integrated into enterprise software and businesses everywhere are evaluating how their market will be disrupted by these new solutions.

While we are all developing familiarity with the remarkable technologies behind GenAI, such as Large Language Models (LLMs), there is less attention being paid to a critical step that is required before deploying AI initiatives on enterprise data.

In this whitepaper, we explore the importance of meticulously preparing your data in readiness for GenAI, and in particular, the unique challenge represented by unstructured data.

What you’ll learn

• Strategies for ensuring your unstructured data is ready for Generative AI
• Commercial Benefits and Use Cases of Generative AI
• Mitigating the Risks of Deploying AI on Enterprise Data