This comprehensive guide provides a roadmap that IT leaders can use to accelerate their adoption of AI and overcome obstacles. It provides a comprehensive guide to how organizations can harness the transformative power of AI for efficiency and growth through speed and control. It offers actionable practical strategies to scale analytics, ensure data quality and security, and foster collaboration between data scientists and business units.

Despite the increasing adoption of artificial intelligence every day, there are many obstacles that IT organizations have to overcome:

• Modernizing infrastructure without sacrificing old investments.
• Adapt to seasonal demand, data volume and changing business demands.
• Enabling more users with diverse skill sets across the organization as demand accelerates.

So how do we overcome obstacles and chart a course on the way forward? See the strategies and approaches that help IT teams scale AI (and how Everyday AI platform Dataiku can help) in this document.

So what will you learn when you read this document?

• How to build an adaptive analytics system that can meet growing data volumes and changing business demands?
• What are the ways to reduce value acquisition time and speed up project delivery using pre-trained models and collaboration tools?
• How to ensure the importance of governance, control, and trust in AI initiatives, including data governance practices and model approval processes?
• How to build a solid IT foundation for AI by monitoring performance, providing centralized insights, and implementing guidelines?
• What are the best practices for collaboration between data scientists and business units by leveraging cross-functional teams and agile methodologies?