In Predictive Analytics Software, multiple algorithms are deployed on data, both structured and unstructured, with an aim to extract business insights. Predictive analytics gives users solutions that are advanced, flexible, and scalable and that can be used to make decisions that are healthier for business.

On 360Quadrants, Dataiku is recognized as an Innovator, which means it is classified as a vendor with notable product innovation when compared to the competition. Dataiku works on the development of collaborative data science software with applications in big data.

Some significant developments of Dataiku are as follows:

Dataiku predicts surge in enterprise AI, releases version 5.1
Dataiku is an industry leader for machine learning platforms and Enterprise AI. It released its latest software platform, Dataiku 5.1, with an aim to provide a more customized coding experience, user experience upgrades, and regulatory compliance. This release will allow companies to expand their AI capabilities swiftly and also to maintain sound governance practices.

Shortly after releasing Dataiku 5, Dataiku 5.1 was introduced to continue the company’s momentum with several new features for competitive, controlled, and responsible AI. Ease of use has increased manifold with the Dataiku 5.1 release. New project duplication capabilities bring with them tailored flow visibility. Analytics workflows can now be easily copied and reused across projects. With upgraded drill/collapse navigation abilities, users will now be able to easily create and navigate analytics projects containing hundreds of data sources.

Dataiku 5.1 also gives coders the means to work seamlessly in their integrated development environment of choice—such as PyCharm, RStudio, SublimeText, or VSCode—while leveraging reusability, native web apps, and on-demand elastic compute resources.

Dataiku 5.1’s comprehensive GDPR framework allows organizations to engage in next-level data governance and operate effortlessly. Policies set by administrators will be capable of restricting the use of private data for column-by-column modeling and tracking private data usage.

Through enterprise AI lab release, Dataiku aims to use AI for solving business challenges
Dataiku has introduced the Enterprise AI Lab, its new service that encourages innovation and promotes wider expansion and out-of-the-box applications of AI in the enterprise.

The Enterprise AI Lab comprises of international data experts, data scientists, and AI architects who will work on projects from corporations, nonprofits, or academics across the globe. From a strictly technological and execution standpoint, the EAI Lab ultimately aims to upgrade business processes through the use of artificial intelligence. This will give employees the freedom to engage in more creative work.

During the pilot stage, the Enterprise AI Lab undertook automation of physical mail processing for an insurance firm, where it was able to reduce a full day’s manual work to under an hour. Its deployment required mail handlers to triage only letters that were extremely complex.

Following the success of its pilot run, Dataiku opened the Enterprise AI Lab and began harnessing organizational energy across industries in order to build innovative and effective solutions by working together. Along with working towards finding a solution through project teamwork, the EAI Lab also has an aim to equip data and business departments within an organization with the resources required to continue the inflow of problem-solving mindsets on future projects.

360Quadrants also lists competitors of Dataiku in the predictive analytics software space.