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.
