Building safe and high-quality AI projects is critical to developing trust in AI and building advanced analytics programs at scale. One crucial yet overlooked element of creating such projects is how quickly teams get off the starting line. Leaders often have little patience when people and projects can't get off the ground and move resources to something new.
Think of multiple AI projects like athletes in a race across a city. What if your team could start the race miles ahead of everyone else and get help and directions along the way? Would you take the advantage? That is what it is like to build AI projects with Dataiku. Pre-built solutions and components give teams a head start, and contextual help keeps people going when they lose their way. Dataiku 12 delivers more solutions, components, and help, so your team can go faster and build high-quality, trusted AI projects every time.
More Pre-Built Solutions
Dataiku continues to deliver pre-built, customizable, industry and functionally-focused solutions that allow data and business teams to accelerate advanced analytics projects from weeks or months to days. Dataiku solutions include fully functional yet customizable projects that teams can use to build out use cases, including end-use applications. New solutions introduced in the past six months include process mining, financial forecasting, credit scoring, batch performance optimization, pharmacovigilance, social determinants of health, and product recommendations.
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Updated Data Catalog
The updated data catalog with new data collections allows users to create curated lists of key datasets by team or use case, so everyone can easily find and share quality datasets to use in projects. Collection owners can organize datasets by team, topic, or any principle that makes sense for their business. They can also add users and assign permissions or a data steward as the single point of contact for questions and issues about the dataset. Users can also see key information about dataset use, like related datasets and dependencies. With new data collections in the updated data catalog, teams can find the quality data they need to get projects off the ground quickly.
Data Catalog in Dataiku 12 With New Data Collections, Data Steward, and More
New Help Center
Everyone from new data team members to business experts can benefit from the new help center in Dataiku, which centralizes various valuable resources that provide contextual, personalized content recommendations. When people are looking for help, they are not spending time creating, deploying, and managing projects. So, streamlining access to help resources saves time and frustration for everyone, from the novice to the expert. Dataiku help center centralizes a wide variety of useful resources for technical support and education. It provides personalized, contextual recommendations to users from knowledge-base articles, reference documentation, training course, and videos all in one place.
Help Center in Dataiku 12 Delivers Recommendations to Users in Context
Having a head start and getting help in a race might seem like cheating, but starting with pre-built solutions and components is critical when you are trying to scale advanced analytics and AI projects. Using solutions and platform components, like data collections, will accelerate development, and using proven components helps create higher-quality projects across all kinds of teams and use cases. The result is that your organization can build more projects and scale your AI initiatives like never before.