EDITOR ’ S COMMENT

HOW ARE YOU MAKING SURE THAT ORGANISATIONS ARE TAILORING ARTIFICIAL INTELLIGENCE ( AI ) AND AUTOMATION TO THEIR BUSINESS IN MEANINGFUL WAYS ?

SID BHATIA , REGIONAL DIRECTOR – MIDDLE EAST , DATAIKU

AI methodology – which combines the human capacities for learning , perception and interaction , all at a level of complexity that ultimately supersedes our own abilities – into the very core of an organisation ’ s data strategy .

Enterprise AI isn ’ t just a trend or something to be leveraged for one-off projects and use cases . The ability to become a true AI enterprise by successfully scaling and employing robust data methodology at all levels of the company is an organisational asset pivotal to the success of businesses of the future , no matter what industry .

In other words , companies that start today and are able to build their capacity to leverage Enterprise AI now , are building the foundation for the future of the

This future is one where only companies augmenting human capital with AI survive . business . This future is one where only companies augmenting human capital with AI survive .

How does Enterprise AI happen ?

At Dataiku , we ’ ve seen a lot of businesses struggle to get started on their Enterprise AI journey over the years and we ’ ve also seen some that have thrived . The companies that succeed are the ones that go beyond leveraging Enterprise AI for one particular project or use case , and instead focus on scaling it out to a level that will sustain the business in the future .

Scaled Enterprise AI companies manage to build a foundation for data science , Machine Learning and AI at an organisational level . In addition , they :

• Bring all people together around AI efforts , from business people to analysts and data scientists . Enterprise AI companies leverage horizontal ( team-wide ) and vertical ( cross-team ) collaboration .

• Iterate rapidly on a spectrum of data applications , whether that means building out a self-serve analytics platform or fully operationalised AI integrated with business processes .

• Prioritise responsible AI , including sound governance practices and sustainable systems that will be agile and open to changing technological needs . With future exponential growth in the number of AI projects , the number of people contributing to such projects , and the number and size of data in such projects , elasticity amidst enterprise AI companies is critical .

Your path to Enterprise AI

Dataiku DSS is one of the world ’ s leading AI and Machine Learning platforms , democratising access to data and enabling enterprises to build their own path to AI . Dataiku believes that those companies who succeed in deploying and scaling AI will do so by ingraining a culture of working with data throughout the enterprise instead of siloing it into a specific team or role . Dataiku DSS is :

• End-to-end with one simple UI for data wrangling , mining , visualisation , Machine Learning , deployment and monitoring .

• Collaborative , with a team-based user interface accessible to anyone on a data team , from data scientist to business analyst .

• Operationally ready , with the ability to go from design to production smoothly .

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