Nicolas Pelaez

Apr 17, 2024 | databricks.com | Emily Hutson |Nicolas Pelaez |Ari Kaplan

When it comes to enterprise adoption of generative AI, most organizations are in transition. While 88% of customers we've talked to say they are currently running GenAI pilot projects,the majority also say they are too nervous to take those experiments from the test environment to production.  So, what’s causing this disparity? Concerns around cost and risk. In the past, when it came to IT investments, companies could take a “build it, and they will come” mentality. Not anymore.

Jan 22, 2024 | databricks.com | Ari Kaplan |Emily Hutson |Nicolas Pelaez |Quinn Leng

Generative AI has opened new worlds of possibilities for businesses and is being emphatically embraced across organizations. According to a recent MIT Tech Review report, all 600 CIOs surveyed stated they are increasing their investment in AI, and 71% are planning to build their own custom LLMs or other GenAI models. However, many organizations may lack the tools needed to effectively develop models trained on their own data.