– 30,000 people attended Google Cloud conference in Las Vegas all about generative AI
– Google focused heavily on AI, but overlooked its core business of cloud infrastructure and platform
– Implementation of generative AI may be challenging for many companies, especially those lacking clean data and digital transformation efforts.
This week in Las Vegas, Google Cloud held an event where they focused on generative AI, showcasing a slew of enhancements designed to help customers utilize the Gemini large language model. However, some of the demos felt simplistic and too focused on examples from within the Google ecosystem. Despite the potential of generative AI in tasks like code creation and data analysis, implementing advanced AI within large organizations poses significant challenges.
Like previous technological shifts, AI comes with its own set of complexities, and large companies often move cautiously. Companies that have already shifted to the cloud may find it easier to adopt generative AI compared to slower-moving organizations. For companies with a majority of their technology on-premises, integrating AI may require tackling data security and governance issues first.
Google aims to simplify the data engineering process with generative AI tools, but companies with messy data may struggle to fully benefit from these solutions. In addition to data-related challenges, companies implementing AI must consider governance, security, privacy, ethics, and compliance issues.
For many attendees at the Google Cloud event, the heavy focus on AI may have been overwhelming, especially for organizations not yet ready to embrace digital transformation. It may take time for less digitally sophisticated organizations to fully leverage the potential of AI offered by Google and other vendors.