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Blog Posts: Methods & Practices

In part four of his blog series, Manas Das leads you through the different types of AI products and a thorough 10-step process for AI integration.
Too many AI projects are founded on the belief that it will be the solution to all your productivity and operating challenges. Here’s how to avoid this mistake.
Trade-offs in AI evolution demand thoughtful choices. The article describes how we must strike a balance between productivity vs. distribution, innovation vs. competition, and privacy vs. performance.

AI in the Future Workplace Artificial algorithms and platforms are great equalizers. They work for large and small enterprises alike; they work for both novice and experienced analysts the same.…

How to successfully manage uncertainty and deliver innovation What do space and ML programs have in common? Quite a lot! To name a few, high uncertainty, research-oriented nature, improvisation, and…

Most analytics leaders put self-service analytics at the top of their list of items on their annual roadmap, but they never seem to talk about the potentially disastrous implications of…

Starting approximately 2018 with ELMO, a new class of machine learning models called large language models (LLMs) has been developing at an extremely rapid pace. These models may differ slightly…

Europe’s GDPR. California’s CCPA. The AI Act. The Blueprint for an AI Bill of Rights. New York’s City Local Law 144. The Algorithmic Accountability Act. The American Data Protection and…

Over the last ten years, dashboards have become a crucial asset in the analytics space. Stakeholders want dashboards built for limitless reasons; analysts and managers rely on them for daily…