Diving into Data-Driven Decisions: A Look at Analytics and AI
Автор: Disrupted Factory | With Yanesh
Загружено: 2024-06-24
Просмотров: 36
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Excited to be learning more about analytics and how they're revolutionizing decision-making!
Gartner recently published a fascinating article that explores this shift. Their chart outlining the connection between data, human involvement, and action is a real eye-opener.
Here's a breakdown of the key stages:
👉 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: We analyze past data to understand what happened. But human expertise is crucial to figure out the "what next."
👉 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: We delve deeper, using analytics to uncover insights (like process quality metrics). However, human decision-making remains essential before taking action.
👉 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Machine learning and historical data come into play, enabling smarter choices. Yet, human involvement is still needed for the final call.
👉 𝗣𝗿𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: This is where things get hot ! It offers two flavors:
👉 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: AI suggests courses of action, but humans make the final call.
👉 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: AI takes the wheel, making and executing decisions with minimal human input.
Manufacturing offers a prime example: Decision support and automation hold immense potential, but a robust data model is the foundation for AI-driven shop floor operations.
The future of decision-making is a thrilling mix of human intuition and AI-powered efficiency. Let's keep exploring these possibilities and build a data-driven future together!
#Analytics #DecisionMaking #AI #dataautomation
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