Generative AI: Now Is the Time
How to Build & Scale Your Generative AI Strategy
To succeed with Generative AI, you need a strategy that will both turn use cases into reality (quickly) and safeguard against risk. Data leaders and executives: Build an action plan for how to do both — today.
Lead With Generative AI Today
Over 60% of Data Leaders Say They Are "Likely" or "Very Likely" to Use GenAI in the Next Year
A June 2023 survey by Dataiku and Databricks of 400 data executives worldwide revealed that 25% of organizations are "very likely" planning to use Generative AI technology for their business in the coming year, with another 39% saying it is "likely."
Companies that succeed in harnessing these technologies and putting them to work will enjoy a sustainable competitive advantage in their markets.
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What Makes Generative AI Different?
Innovate, Automate, Scale Across Your Enterprise
Balancing Moonshots and Mundane Tasks
Discover how Generative AI can revolutionize your business with ambitious moonshot projects and enhance daily operations through mundane task automation.
Integrate Generative AI With Organizational Assets
Optimize efficiency and accuracy by integrating Generative AI with organizational assets, such as enterprise data, improved prompting, predictive models, and human validation processes.
3 Pillars to Achieving Scale
Pathways and Tradeoffs
Scaling Generative AI involves exploring options such as outsourcing, point solutions, do-it-yourself approaches, or platform adoption, each with distinct tradeoffs in terms of cost, control, and scalability.
“Working with Dataiku empowers us to imagine the full potential of AI and Generative AI, allowing us to embed it into Doosan’s business strategies and operations. It’s a crucial initial step in allowing us to imagine the concept of ‘AI Everywhere’ and bring it to life, driving agile innovation that’s practical and breakthrough.”
Robert Oh
EVP, Head of Corporate Digital, Doosan Corporation“We are very happy that our business is engaging in and adopting this technology, and with it AI, and making it part of their digital journey and transformation.”
Nicolas Matteazzi
Senior Lead Enterprise Architect, Architecture & Technology IT, Ørsted“We have high expectations that utilizing Dataiku’s functionalities will allow us to effectively manage the backend and frontend aspects of our projects, leading to efficiency gains and scalability across multiple initiatives.”