Dataiku Announces The 2023 Frontrunner Award Winners

NEW YORK, LONDON, & PARIS – Sept. 26, 2023: Dataiku, the platform for Everyday AI, today announced the winners of its 2023 Frontrunner Awards program. Now in its third year, these Awards spotlight the successes of Dataiku customers, partners, nonprofits, academics, and individual users. With over 80 submissions received, the category winners, finalists, and special distinctions were selected by a panel of judges composed of Dataiku executives and independent industry experts including Dataiku board member Elissa Fink and Arion Research CEO Michael Fauscette. 

Florian Douetteau, co-founder and CEO of Dataiku, shared, “The 2023 Dataiku Frontrunner Awards spotlight the real-world applications of analytics in AI in diverse areas such as predictive maintenance, supply chain, marketing strategies, and Generative AI. Every submission underscores the collaboration and innovation happening in Dataiku to push AI capabilities forward safely and efficiently. We’d like to thank all participants for sharing their impressive achievements and extend our congratulations to all our winners and finalists.”

Category Winners and Finalists of the 2023 Dataiku Frontrunner Awards

Democratization Categories

Best Data Democratization Program

• Winner:  Moderna – Developing AI Literacy, in Practice
  • Finalist: Merck – A Holistic Approach for Enterprise-Level Data Democratization
  • Finalist: PASHA Holding – Building a Data-Driven Culture Through Upskilling Employees and Community-Building

Scale of Impact

• Winner:  SLB – Our Journey Towards Building Data Literacy to Enhance Operational Efficiency

AI for Healthcare 

• Winner: Roche – Improving Patient Safety by Predicting Data Monitoring Needs on Clinical Studies
  • Finalist: Moderna – Building AI to Generate Targeted and Actionable Medical Insights 
  • Special Distinction – Student Project: NYU Student – A New Perspective on the Status of Clinical Trials

AI for Finance 

• Winner: FINRA – Enabling Self-Service Analytics to Improve Reaction to Market Events
  • Finalist: Davivienda – Developing a Comprehensive Customer Score to Effectively Segment and Prioritize Clients

AI for Manufacturing 

• Winner: Doosan Corporation – Electric Furnace Steel Capacity Prediction
  • Finalist: Braskem – Smart Gels: Classifying Gels in Polymers Through AI
  • Finalist: KANEKA Corporation – Automated Drying Process Temperature Control with ML to Optimize Resources
  • Special Distinction – B2B: ABS – Commercial Vessels Churn Prediction for Sustaining Long-Term Revenue

Acceleration Categories

Best Acceleration Use Case 

• Winner: Novartis – Automated Commercial Analytics For Brand Uptake
  • Finalist: Air Canada – Route Marketing Audience Discovery App and Standard Profile
  • Special Distinction – Best Use of Solutions: MandM – Using Customer Lifetime Value Scores to Understand Inherent Future Value and Deliver Personalized Experiences
  • Special Distinction – Accelerating Insights: M1 – Building Company-Wide Data Literacy Through a Slack-First Approach

Best Positive Impact Use Case 

• Non-profit Winner: One Acre Fund – Democratizing Data Management in Decentralized Organization
• For-profit Winner: Davivienda – Recommendation Machines: An Analytical Window to Financial Inclusion
  • Finalist: ALMA Observatory – Rising Data Science & Analytics to Meet Operational and Astronomical Demands with Limited Resources
  • Finalist: MEWA – Forecasting Animal Diseases to Inform Prevention and Public Action

Best ROI Story

• Winner: Standard Chartered Bank – Data Informed Space Planning to Support Hybrid Working & Optimized Capital Allocation
  • Finalist: ADNOC Distribution – Driving Customer Engagement Through Data Driven Promotions & Hyper-Personalization
  • Finalist: SLB – Sizing Billion USD Well Construction Tenders Using Web Application & Machine Learning Models

Best Moonshot Use Case

• Winner: Moderna – Building AI to Generate Targeted and Actionable Medical Insights
  • Finalist: SLB – Sizing Billion USD Well Construction Tenders Using Web Application & Machine Learning Models
  • Finalist: bp T&S – ML-Driven Quantitative Trading

Best NLP Use Case

• Winner: Frende Forsikring – Combining AI and Robotic Processes to Automate Claims Reporting
  • Finalist: Aviva – Empowering Decision Making with ML: Sentiment Analysis and Topic Categorization for Customer Feedback
  • Finalist: NEC Networks & System Integration Corporation – Zoom Meeting Transcription and Scoring Without Code

Best Partner Acceleration Use Case 

• Winner: Standard Chartered Bank, Deloitte – Unlocking the Value of Data and Driving Business Outcomes
  • Finalist: BP, Wipro – Automating Competitor Insights for Real-Time Updates
  • Finalist: i2e Consulting – An ML-Driven Process for Drug Order and Route Selection to Optimize Stock, Cost, and Resources

Trust Categories

Best Approach for Building Trust in AI 

• Winner: Macquarie Group – Integrated Data Governance Powering Business-Driven Risk Management
  • Finalist: FSRA – AI-Powered Risk Assessment For Financial Services Regulation in Canada
  • Finalist: OHRA – Empowering the Data Team With a Central Platform and Governance
  • Special Distinction – Peta-Scale Data: FINRA – Implementing Self-Service Cloud Scalability Across the Organization

Best MLOps Use Case 

• Winner: Christie Hampton – Efficient Deployment of Compliance Models to Support Field Teams
  • Finalist: ZS Associates – Efficiently Managing Hundreds of Models in Production
  • Finalist: Detailresult – Fully Automating the Production of Daily Predictions for Over 100 Food Retail Stores

Community Choice

• Winner: Aviva – Empowering Decision Making with ML: Sentiment Analysis and Topic Categorization for Customer Feedback
  • Finalist: Standard Chartered Bank, Deloitte – Unlocking the Value of Data and Driving Business Outcomes
  • Finalist: SCMS, Dayananda Sagar University – Teaching the Next Generation of Analytical Talent with Dataiku

Learn more about the Dataiku Frontrunner Awards and read all of the 2023 submissions.

About Dataiku

Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they design, develop, and deploy new AI capabilities at all scales and industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. 

Founded in 2013, Dataiku has proven its ability to continue to develop its founding vision for Everyday AI and to execute on its growth. Boasting over 600 customers, including 200 of the Forbes Global 2000, and over 1,000 employees, Dataiku takes pride in its rapid expansion and pivotal role in empowering enterprises to harness the full potential of data, analytics, AI, and Generative AI.

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