A lack of opportunities for how AI can improve the business is definitely not the challenge for most organizations. In fact, it’s quite the opposite; the list of valuable use cases typically far exceeds the amount of time and expertise available to make these dreams a reality.
How can resource-constrained data and analytics teams succeed on standard, “bread and butter” use cases while still preserving time to pursue innovative, moonshot ideas? Approaches include outsourcing projects to consultant services, paying for managed point solutions, or simply hiring more people. But for companies who want to achieve more without spending more, increased productivity and speed to value are the keys to success.
Years of experience supporting different industries have provided insight into established use cases on which companies tend to spend large amounts of time reinventing the wheel. Dataiku’s industry solutions are off-the-shelf projects and components that can significantly accelerate development times and provide inspiration for teams tackling tough problems.
Vertical-specific solutions include:
- Market basket analysis for retail
- Factory electricity usage and CO2 emissions forecasting for manufacturing
- News-based stock alerting for financial services
- Omnichannel marketing for pharma
- and many more!
With dozens of ready-to-use objects and workflows that are fully customizable, extensible, and adaptable to your business specifics, Dataiku industry solutions smooth the path to success for basic and advanced use cases alike.
Learn more about Dataiku industry solutions in the video above.
To make it even easier for business stakeholders to consume and explore insights in a self-service way, Dataiku 10 introduced the concept of shared workspaces. Workspaces enable data teams to publish selected Dataiku project artifacts such as datasets, dashboards, wikis, or AI applications into a private, secure space. Project managers, team members, and business partners can quickly access a variety of relevant information from a single location, without needing technical expertise or having to navigate through the source projects themselves.
Learn more about workspaces in the video above.
Additionally, Dataiku 10 enables analysts and data scientists to more readily work with complex data types such as geospatial data and images. Because location and image data each comes with its own unique metadata, storage types, and methods of processing and enrichment, these types of analyses are traditionally handled with specialized tools in siloed platforms, accessible to only a narrow set of highly technical experts.
Learn more about geospatial analytics in the video above.
The ability to ingest, manipulate, and visualize geospatial data right alongside traditional tabular data using familiar Dataiku components like visual recipes and dashboards means more people can access the powerful benefits of location data in their models and reports. Built-in visual analyses for object detection similarly lowers the bar for access to advanced tasks like transfer learning and tuning a deep learning model to your own images and use case.
With Dataiku 10, empower creators across the organization to go faster and further on data projects by equipping them with tooling and starter assets that accelerate their journey to delivering value.