Dataiku DSS - The Value Proposition

Discover how Dataiku DSS is resolving tensions that prevent today’s organizations from transforming their businesses through data and AI. We’ll begin by introducing Dataiku’s mission, the architecture of the Dataiku software, and then dive into the tensions standing in the way of successful AI transformation.

Mission

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By Everyday AI, we mean AI that is so ingrained and intertwined with the day-to-day workings of the business that it’s just part of the business — rather than only used or developed by one central team.

Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.

Architecture

At the most basic level, Dataiku is an end-to-end and future-proof platform that makes AI accessible to a broader base of workers — from creators to consumers.

Dataiku is a cloud-ready solution that can flexibly connect to many different infrastructures and data storage systems. When workers collaborate, they do so in real-time through their web browser, but changes are saved to a shared server.

At its core, Dataiku allows companies to leverage one central solution to design, deploy, and manage AI and analytics applications. Dataiku also facilitates the use of prebuilt components and automation to streamline work processes while maintaining consistent management and governance across teams and projects. Thus, teams can create transparent, repeatable, and scalable AI and analytics programs.

Tensions Hindering AI Transformation

Today, many tensions prevent organizations from being able to transform their businesses through data and AI. These tensions can be broadly grouped into the pairs:

  • Rationality vs. Creativity

  • Individual vs. Collective

  • Mundane vs. Moonshot

By reconciling ​​each pair of tensions, organizations can unlock exponentially more value from AI initiatives than they would by being forced to choose between one or the other.

Rationality vs. Creativity

Companies need creativity to innovate and generate ideas, but they often struggle to do this because of practicalities like the need for centralized governance and control.

Dataiku gives organizations a path forward by enabling the business side to understand data and keep control on how it is used — thereby directly infusing their creativity into the data and AI process. At the same time, Dataiku provides the structure (governance, standardized workflows, documentation, etc.) needed as a backbone to responsibly deliver and scale business creativity.

Individual vs. Collective

Succeeding in AI initiatives requires fostering a culture of data creativity at the individual level. However, organizations also need to find ways to harness individual creativity for collective company progress and purpose.

Dataiku empowers everyone to be a game-changer in their own discipline, enabling employees to contribute their unique talents and to have the autonomy to make more informed decisions with data, ultimately serving the company’s collective purpose.

Mundane vs. Moonshot

Leaders often hesitate between a step-by-step approach to AI (the mundane use cases) and focusing AI on high-reward, high-visibility projects (the moonshots).

Dataiku provides the structure to systemize the mundane so that the business can easily continue to unlock everyday use cases that create value over time. At the same time, Dataiku enables access to cutting-edge technologies that help with moonshots that can bring massive value.

Dataiku as a Solution

Since it was founded in 2013, Dataiku has been making the use of data and AI everyday behavior for everyone across the organization. Today, Dataiku is bridging the gap between these tensions so that organizations don’t have to choose an AI strategy that addresses rationality or creativity, the individual or the collective, and mundane use cases or moonshots — they can balance it all.