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Build Or Buy? Navigating The Complexities Of BI And AI Platforms

Jan 29, 2024 - forbes.com
The article discusses the challenges companies face in deciding whether to build or buy business intelligence (BI) and artificial intelligence (AI) capabilities. The author highlights the increasing complexity of data and analytics, the need for multi-disciplinary competencies, and the difficulties in maintaining and updating a business analytics framework. The article also points out the hurdles in acquiring skilled data engineers and data scientists due to high demand and premium salaries.

The author suggests that managed analytics and AI services can handle these complexities, offering a simpler and more flexible path. These services can help teams focus on high-impact initiatives rather than platform building and maintenance. The article advises business leaders to look for services that align with both business goals and IT modernization plans, and that offer a secure, composable framework that reduces the burden of constant skill set upgrades.

Key takeaways:

  • Building, maintaining, and updating a business analytics framework requires substantial time and resources, and the addition of machine learning and AI has added more challenges.
  • Managed analytics and AI services can handle these complexities behind the scenes, offering flexibility and speed in delivering insights.
  • Given the complexities of today's data landscape, a managed analytics and AI service offers a pragmatic path to accelerate value and focus on high-impact initiatives.
  • When choosing a service, it's important to look for a secure, composable framework that reduces the burden of constant skill set upgrades and aligns with both business goals and IT modernization plans.
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