To truly extract value from their data science, machine learning, and AI investments, organizations need to embed AI methodology into the core of not only their data strategy, but their holistic business model and processes. This is much easier said than done, as organizations often face roadblocks associated with people, processes, technology, and of course, data.
In this guidebook, the AI pioneers at Dataiku dig deep into six main drivers that an organization must effectively deliver on to evolve their AI maturity and create, measure, and maintain business value associated with AI projects. DOWNLOAD NOW to gain best practices for each one:
- Vision: How do organizations ensure their AI transformation aligns with their strategic goals and ends up being meaningful for the business?
- Data: How do organizations acquire the right data and analytics and guarantee access to it in a governed way?
- System: How do organizations select the right technology stack to enable the end-to-end creation, use, and support of AIpowered analytical applications?
- Value: How do organizations create resilient, AI-driven assets to maximize impact?
- Talent: How do organizations solve the skills transformation challenge: getting the right people, training them, and creating AI communities?
- Governance: How do organizations set themselves up to get started and then scale the use of AI across the organization (i.e., effectively manage control versus agility)?
PLUS! Also included are:
- Examples of real-world companies that have successfully implemented plans to drive and track value
- An overview of barriers to tracking value from AI projects and a helpful framework to combat that
- A one page infographic that consolidates this 32-page whitepaper into a concise one-page visualization. Perfect for those on the go!