Join us for an exclusive interview with Sid Bhatia, Regional VP and General Manager for the Middle East, Turkey, & Africa at Dataiku, as he sits down with Rabab Zehra, Executive Editor at TECHx. Discover Dataiku’s cutting-edge AI solutions, their GITEX 2023 highlights, and their history of success at the event. Get insights into the future of AI in this in-depth conversation!
TECHx: Could you give us an introduction to your company and share what you’ll be presenting at Gitex this year?
Sid: Dataiku, the platform for Everyday AI, will exhibit at this year’s GITEX Global under the theme, “Maximizing Business Value with AI: Scaling Across the Organization”. At a time when the region is displaying a notable uptick in the adoption rates of a range of AI technologies, Dataiku will use GITEX as a platform to showcase how it enables organizations to reap the maximum rewards from their AI investments by making AI accessible to users with varying skill sets and roles.
TECHx: Are there any exciting product launches, upcoming partnerships, or significant milestones that attendees should be on the lookout for?
Sid: Dataiku’s GITEX 2023 focus will be its recently updated eponymous flagship platform. Dataiku 12 offers integration with OpenAI’s ChatGPT, allowing business users to incorporate the tool’s learning models into their native data projects by extending datasets and performing tasks using a visual interface and natural-language prompts.
Version 12 also prioritizes transparency and trust in project outputs, eliminating “black box” tendencies in AI through Transparent Automated Feature Generation. It introduces Causal Machine Learning (ML) to guard against the common analytical error of confusing correlation with causation, which can cause many different kinds of damage to the business and other stakeholders. Dataiku democratizes these capabilities, ensuring that anyone building ML models can understand the source of results.
Transparency continues with Universal Feature Importance, which solves the problem some ML models have in offering limited explanations for decisions. Such models undermine trust with stakeholders and slow the path to AI maturity. The latest version of the platform also allows users to override a model, in acknowledgement of the need for human oversight. Additionally, Model Risk Project Views allows business leaders and analysts to discover and mitigate risks in AI projects.
TECHx: What approaches have you implemented to actively engage with attendees and maximize your impact at Gitex?
Sid: At GITEX, we’ve employed a multifaceted approach to actively engage with attendees and maximize our impact. First and foremost, we’re showcasing our latest technology updates featuring exciting new features, particularly focusing on our Live Learning Models. Attendees can witness these innovations firsthand through live product and use case demos presented by our skilled tech team. We’re offering demos on industry pre-built use cases and demonstrating the real-world applications of Dataiku’s solutions. Our tech talk tracks provide attendees with the opportunity to dive deeper into the technology and its applications.
To ensure comprehensive engagement, we have a significant presence with a booth that houses our entire Middle East team. This allows attendees to interact directly with our experts, gaining insights and answers to their specific queries. Highlighting our commitment to education, we’re showcasing our university and academic program, promoting the integration of Dataiku into educational institutions. We’re also emphasizing our trial programs, allowing attendees to experience the power of our platform firsthand. For executives seeking a strategic understanding of the business value we bring, we’ve dedicated a business value track. This track provides insights into how Dataiku can drive business transformation and deliver measurable results.
Lastly, we’re proud to feature our customers who will be presenting alongside us. Their success stories and experiences will demonstrate the tangible impact Dataiku has had on real businesses.
In summary, our approach at GITEX is designed to provide a comprehensive, interactive, and informative experience for attendees, enabling them to explore our technology, gain hands-on experience, and connect with our experts, customers, and the wider Dataiku community.
TECHx: Could you tell us about your history of participation in Gitex and the advantages your company has gained from being involved in previous years?
Sid: Dataiku has been coming to GITEX to deliver a simple message: Everyday AI is a winning strategy. In 2023, with adoption rates higher than ever, Dataiku sees signs that the message is starting to sink in. This year, the Dataiku team shall be talking to a more receptive audience than ever before. That is exciting, not only for Dataiku, but for the entire region.
TECHx: Where can visitors locate your booth or exhibition space at Gitex?
Sid: At GITEX Global 2023, Dataiku will exhibit from Stand CC2-15
TECHx: How can individuals or organizations interested in your company reach out for further inquiries or potential collaborations after Gitex?
Sid: After GITEX, individuals and organizations interested in our company can easily connect with us through various channels. Our website offers detailed information and contact details, making it a convenient starting point for inquiries. Additionally, our social media channels provide real-time updates and engagement opportunities. For those seeking a more hands-on experience, requesting a personalized demo is an option. We also regularly host webinars and events that offer insights into our solutions and industry trends, fostering networking and collaboration.
Educational institutions interested in our academic program can reach out to explore collaboration possibilities, and engaging with our customers who will present at GITEX is an informative way to learn about real-world experiences.
We are committed to facilitating meaningful connections and look forward to hearing from interested parties to explore potential collaborations further.