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Use AI to build organisational collaboration says Dataiku
By Leon Gettler, Talking Business
ARTIFICIAL INTELLIGENCE (AI) is everywhere. The challenge for companies, which often operate as a collection of silos, is how to get the different departments to share their AI. How does marketing work with the projections of sales?
Enter Datatiku, the global company with its centralised data platform that moves businesses along their data journey from analytics at scale to enterprise AI.
Grant Case, the regional vice president for Asia-Pacific (APAC) of Dataiku, said AI now made collaboration essential for businesses.
“Data scientists, data analysts, engineers, executives are going to have to come together to build out these AI products themselves,” Mr Case told Talking Business. 
“And that’s really the genesis for Dataiku as an organisation and our mission has been for almost 10 years now, as we have begun to grow, coming from Paris, and now a worldwide organisastion.”
Dataiku has a workforce of 1100 in places like Singapore, Japan, Korea, the Middle East and in Australia in Melbourne, Sydney and Adelaide.
Dataiku provides the platform for AI products in organisations.
GETTING AI ACROSS DEPARTMENTS
The key, Mr Case said, was to get different departments talking to each other and sharing AI data.
“When it comes to an organisation, finance has to be able to talk to marketing, it has to be able to talk to sales,” he said.
“So what we have done is build a platform that will construct data products and AI capabilities, such as machine learning models, and start to share those across the organisation itself.
“So an analyst who has perhaps no concept of coding but has a little bit of statistics background and knowledge can start to build out their own pipelines with data and start to create their own insights. The flipside of that is that data scientists can start coming together and helping those individuals build out those machine learning models that may be even more complex later on.
“Ultimately what we’re trying to do is ensure whoever is working within your organisation, no matter what their maturity is around analytics and AI, we think they have value as part of that chain of command.”
AI BUILDS COLLABORATIVE CAPABILITY
Mr Case said the “collaborative capability” was the key for Dataiku customers.
“If I am working as a sales manager, I need to understand what my marketing campaigns are,” he said. “If I’m the marketing manager, I need to understand what sort of attribution model that are bringing my sales leads.
“So we, as a platform, help both of these individuals to share those data sets that are accessible to them, make their own comments and commentary, build their insights so that ultimately, we believe, everybody has to be on the field in order to make these new data products, this new AI, come to life within an organisation.”
Mr Case said giving people skills to work with AI is part of the job creation process around AI.
“Part of the upskilling process as we talk to customers is basically bringing these people along,” he said.
Mr Case said there were only few hundred, or a low thousand data scientists in Australia – which meant more were needed to be trained to do that sort of work.
“Part of that is the upskilling process,” Mr Case said.
“We spend a lot of time with customers helping them understand not just AI technology in general but how do you start to upskill those individuals within your organisation that don’t know necessarily anything about AI.” 
Hear the complete interview and catch up with other topical business news on Leon Gettler’s Talking Business podcast, released every Friday at www.acast.com/talkingbusiness.
https://play.acast.com/s/talkingbusiness/talking-business25-interview-with-grant-case-from-dataiku
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