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  • Apexon Joins Forces with Dataiku to Enable Enterprise AI Adoption in Regulated Industries
  • Enterprise AI

Apexon Joins Forces with Dataiku to Enable Enterprise AI Adoption in Regulated Industries


Apexon Joins Forces with Dataiku to Enable Enterprise AI Adoption in Regulated Industries
  • by: Source Logo
  • |
  • June 19, 2025

Apexon, a technology services firm specializing in intelligent enterprises, has announced a strategic partnership with Dataiku, the company behind The Universal AI Platform™. This collaboration aims to accelerate the adoption and scaling of artificial intelligence (AI) and machine learning (ML) solutions for enterprises, particularly those in regulated industries. By combining Apexon's expertise in data modernization with Dataiku's robust AI platform, the partnership seeks to help organizations extract greater value from their data, drive intelligent automation, and scale AI initiatives to achieve significant business outcomes.

Quick Intel

  • Apexon partners with Dataiku to boost enterprise AI adoption.
  • Focus is on regulated industries like finance and healthcare.
  • Integrates Apexon's AI solutions with Dataiku's AI platform.
  • Aims to deploy secure, explainable, and governed AI solutions.
  • Will enhance fraud detection, risk management, and customer experiences.
  • Apexon's AI Centre of Excellence will accelerate time-to-value.

Empowering Regulated Industries with Scalable AI

The alliance between Apexon and Dataiku is specifically focused on enabling enterprises within regulated sectors such as Banking and Financial Services, as well as Healthcare and Life Sciences, to navigate the complexities of AI adoption. In an environment of increasing regulatory scrutiny and evolving customer behaviors, the partnership will provide clients with advanced analytics, predictive modeling, and intelligent automation capabilities. These tools will be crucial for strengthening fraud detection mechanisms, enhancing risk management protocols, delivering more personalized customer experiences, and improving overall compliance frameworks.

Combining Expertise for Responsible AI Deployment

By merging Apexon's deep industry knowledge and AI governance expertise with Dataiku's powerful platform for creating analytics, models, and AI agents, the collaboration aims to help clients scale their AI initiatives in a responsible and sustainable manner. A key aspect of this partnership is Apexon's proficiency in AI Governance, which addresses critical challenges related to risk management, bias mitigation, regulatory compliance, and ensuring model explainability. This comprehensive approach is designed to ensure that AI deployments are not only effective but also ethical and trustworthy, thereby empowering enterprises to innovate with greater confidence.

Driving Tangible Business Value Through AI

Mukund Kalmanker, Global Head – Data, Analytics and AI Practice at Apexon, emphasized the growing need for enterprises to move beyond AI experimentation to full-scale implementation that yields measurable business value. He stated, "Through our partnership with Dataiku, we are equipping enterprises with the tools and frameworks they need to scale AI initiatives securely and responsibly, while addressing the complexities of governance and compliance. Together, we will help our clients unlock the full potential of their data to drive growth and operational excellence."

Accelerating Responsible AI Adoption

Taye Mohler, VP of Partnerships, Americas at Dataiku, expressed excitement about the partnership, stating, "We're excited to partner with Apexon to accelerate responsible AI adoption in regulated industries. From healthcare to financial services, organizations face unique challenges when it comes to operationalizing AI including strict compliance requirements, risk management, and the need for explainability. This collaboration combines Apexon's deep industry and governance expertise with Dataiku's trusted platform, enabling businesses to innovate with confidence, meet regulatory demands, and achieve real value from AI at scale."

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