Embrace the generative AI era: Six adoption essentials Get your proprietary data ready Invest in a sustainable tech foundation Customizing foundation models will require Companies need to consider whether they have the 3access to domain-specific organizational data, 4right technical infrastructure, architecture, operating semantics, knowledge, and methodologies. In the model and governance structure to meet the high pre-generative AI era, companies could still get compute demands of LLMs and generative AI, while value from AI without having modernized their keeping a close eye on cost and sustainable energy data architecture and estate by taking a use-case consumption. They’ll need ways to assess the cost centric approach to AI. That’s no longer the case. and benefit of using these technologies versus other Foundation models need vast amounts of curated AI or analytical approaches that might be better data to learn and that makes solving the data suited to particular use cases, while also being challenge an urgent priority for every business. several times less expensive. Companies need a strategic and disciplined As the use of AI increases, so will the carbon approach to acquiring, growing, refining, emissions produced by the underlying infrastructure. safeguarding and deploying data. Specifically, they Companies need a robust green software need a modern enterprise data platform built on development framework that considers energy cloud with a trusted, reusable set of data products. efficiency and material emissions at all stages of the Because these platforms are cross-functional, with software development lifecycle. AI can also play a enterprise-grade analytics and data housed in cloud- broader role in making business more sustainable based warehouses or data lakes, data is able to break and achieving ESG goals. Of the companies we free from organizational silos and democratized for surveyed that successfully reduced emissions in 12 use across an organization. All business data can production and operations, 70% used AI to do it. then be analyzed together in one place or through a distributed computing strategy, such as a data mesh. Read more on the practices data-mature companies are using to maximize enterprise data value: A new dawn for dormant data: Unleash the intrinsic value of enterprise data with a strong digital core on cloud. A new era of generative AI for everyone | 17