“It's about working with the right partners in each part of our platform,” says Dataiku’s Andrew Boyd

For Dataiku, APAC remains one of its fastest growing regions and also one of its most invested regions as well.

For Dataiku, being recognized as a Leader in the 2026 Gartner Magic Quadrant for AI Platforms for Data Science and Machine Leader reflects the company’s success in getting enterprises to adopt its platform to build, operate, and govern AI across their environment. What makes it even more fascinating is that Dataiku has received this recognition for the fifth consecutive time.

The vendor which is known for its platform for AI success also recently announced that Maxwell Long has joined the company as President and Chief Revenue Officer (CRO). A recognized leader in the software industry, Long will spearhead Dataiku’s next phase of growth worldwide, leading global sales, customer success, and partnership teams, and will report to Dataiku’s co-founder and CEO, Florian Douetteau.

In Asia Pacific, Dataiku has also made some changes. Following the opening of its new office in Singapore in November 2025, Dataiku appointed Jo Goh as Area Vice President of Asia Pacific and Japan (APJ) Partnerships in January 2026 to drive the company’s partner growth and performance across the APJ region. This includes working with regional and global partners, including systems integrators and channel partners.

In April 2026, Andrew Boyd was brought in as Senior Vice President and General Manager of APJ for Dataiku. An industry veteran with over two decades of experience, Boyd will lead Dataiku’s go-to-market strategy and regional operations, driving growth across key markets including ASEAN, South Korea, Japan, Australia and New Zealand. This includes expanding enterprise adoption, strengthening strategic partnerships, and helping organizations operationalize AI in a governed, scalable way that delivers measurable business outcomes.

For Dataiku, APAC remains one of its fastest growing regions and also one of its most invested regions as well. The vendor has invested a lot of resources in the region and hopes it will continue to maintain its high growth.

Ensuring this growth happens will be Dataiku’s partner ecosystem. CRN Asia caught up with Boyd to understand more about how Dataiku is working and enabling partners in the region as well as his plans for the region, based on opportunities and challenges he is seeing here.

What follows is the conversation with Boyd, which has been edited for clarity.

How has it been like for you since joining Dataiku?

I joined Dataiku for a number of reasons. First, the company's culture is focused on solving customer problems. Second, we have a good platform for AI success. And that really is what we're here to deliver on.

Because what I saw and continue to see is that there are many businesses that are struggling with the fundamentals of getting their data into the right place. This includes building AI applications, AI agents, and then measuring, controlling and governing those. And that is actually where the AI race will be won and lost for enterprises and government industries.

That's what I see as being exciting, and it's why I'm here in this region, because I think Asia specifically is leading the way in terms of innovation and adoption of AI. I think we have unique characteristics that make it a very diverse market that offers lots of different ways to bring even further innovation and approach forward.

And we have a platform that is incredibly broad that solves those problems. And that is what I'm looking forward to doing across Asia over the next few years with our partners.

What makes the Asia region unique for Dataiku?

The way I look at Asia as a whole is actually there's quite a vast degree of diversity in regulatory frameworks and where we're at.

For example, Singapore is world-leading in terms of the governance and frameworks that it has in AI when compared to different markets in Southeast Asia that maybe don't have those frameworks but have a different opportunity in terms of they have the businesses that don't have the kind of systems that have been integrated for years that constrain their development.

So, what you've got is innovation that can be unlocked to leapfrog without the constraints of traditional architecture. And that's where I think Asia has a unique opportunity.

In Singapore, you've got regulatory framework and investments from the government in skilling and educating people in AI. And companies like Dataiku provide democratized access to it for both deeply technical people building or even citizen builders across it.

That's where it's actually quite innovative in this part of the world. You've got high-quality standards, but you've also got businesses willing to experiment, and governments willing to invest in skilling the general population to adopt those technologies.

So, what are the challenges in AI that Dataiku is seeing here?

When you think about the actual core opportunity for companies, it is driving innovation and ROI. 18 months ago, everybody was building chatbots, as we've seen. And when DeepSeek was released, everybody realized that they could do this more effectively.

But then, they realized they’ve got some security concerns and started figuring out how they can govern that. And then even if you look at the emergence of Cursor or other code completion tools, that has enabled a whole batch of vibe coding, which has unlocked true business value.

But again, what is it based on? What is the data that is underpinning the applications that have been built? How are you governing access to those things? And then how are you thinking about business value and longevity?

We're now at this juncture where AI is largely built with LLM providers that have gone and indexed and created LLMs based on text. And we've almost got to 50, 60 percent of the world's kind of text is now being absorbed and created by those models. And we've got to the point where we've kind of hit capacity.

As you then think, what are the next opportunities? We're moving into video. We're moving into audio. We're moving into all that content.

And so actually a lot of what you're going to see is innovation around how do I build that into my business model? How are users going to create that into applications? And again, you get to the same challenges, which is, is that data applicable? How am I governing that? Is that something that I want to access? And then, what is the right business value?

Because otherwise you're going to see bunches of pilots spun up and not delivering business value. And the reason I actually think Asia is the place to be is that we're seeing more.

86% of organizations in Asia have actually embedded AI in production. Asia is willing to experiment and innovate more because of the nature of doing business here. And we then have to think, how do we govern it? And so, we're kind of ahead in the space of bringing all of that governance back into it.

And the one final thing I would say is there's a whole other category when you think about localized AI in local language, when it's providing accessibility into different markets. And it's actually both socioeconomic and a completely different unlock into different businesses when you go to Japan, Korea and other markets in Southeast Asia as well.

Is this why the partner ecosystem plays an important role for Dataiku? Can you tell us a bit more about your partner ecosystem in the region.

We've hired Jo Goh, who's building our partner ecosystem in the region. We’re going to be very deliberate about this. Partnerships are not about just doing the resale. For us here in this market, it is actual depth.

We have a platform that can sit on top of any LLM providers, any cloud provider or similar. And so, we need partners who are either able to scale across that and have the right relationships to build and help deliver the business value into the C-suite of those target large, regulated industries. Or we're finding partners that are very niche in one part of that journey, be it the data prep or be it the agentic kind of control layer and going deep with them for specific use cases. That's driving a partner ecosystem around speciality, and that's important.

And so, in each of our markets, we're working deeply with fewer partners to go deeper in those specific areas. And that's providing traction because we can't as a business build out the scale to have the full depth of capability in each market's regulatory requirements. It's those deep partnerships combined with our platform expertise that allow us to grow.

At the same time, we're adding more partners in each area with the basis of the skills and expertise and specialism that they bring to us in each market. And then we're deepening our relationships with the existing partners that we have.

It is a very deliberate strategy. It's about working with the right partners in each part of our platform.