The widespread adoption of generative AI (GenAI) has led to a significant increase in productivity, with up to 66% improvement reported. However, this increased use also brings security risks and spiraling costs if not implemented correctly. A staggering 75% of global knowledge workers are using GenAI applications, with more than 78% bringing their own GenAI tools to work. This raises concerns, as 71% of organizations do not provide employees with guidance on when, where, or how to use AI. To avoid mistakes, organizations must develop a comprehensive AI strategy, weighing security and cost factors, and considering options such as building a large language model from scratch, accessing an LLM through an API, building applications on public cloud infrastructure, or downloading and customizing an open-source LLM. By making the right strategic decisions, organizations can maximize control while optimizing cost efficiencies and avoiding the pitfalls of shadow AI.
GenAI Boosts Productivity
If everyone is allowed to bring in GenAI applications and use them however they want, it creates serious challenges with security and governance.
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