04 March 2024

The paper, ‘Don’t let your GenAI project fail before it begins,’ provides four guidelines for how organisations can take a Data First approach to achieve better business outcomes, with input from real-world use cases.

While AI has been around for decades, generative AI solutions like ChatGPT have made this technology more accessible than ever before. ChatGPT has seen lightning-fast adoption, racking up 100 million monthly active users in its first two months, making it the fastest-growing consumer app ever. Since then, businesses have raced to adopt GenAI to glean its many advantages. However, organisations are quickly finding their data isn’t ready to reap the value due to lack of data quality and management. In fact, recent HFS research shows that one-third of executives believe less than half of their organisation’s data is actually consumable ― highlighting just how many organisations aren’t ready for GenAI.

An improper data foundation can lead to real-world business consequences outside of just poor data quality outputs. If bias exists within the data fed into models, such as gender or racial bias, that bias can be quickly replicated at scale within an organisation. This could cause reputational damage, have regulatory implications, and concern investors. Syniti supports enterprises with a Data First approach, helping to ensure the right infrastructure is in place to break down silos and deliver trusted, usable data to fuel GenAI models.

“GenAI’s potential can’t be overstated, but companies need to approach this technology with the wisdom and respect it deserves,” said Kevin Campbell, CEO, Syniti. “Data quality is critical to all business transformation, including successful use of Generative AI, and it’s shocking how many organisations still don’t properly prepare their data ahead of these initiatives. Companies have a long way to go in terms of data quality and management, but a Data First approach will set organisations up for success.”