In today's world of data-driven transformation, analytics alone isn't enough-we need to move from insight to action. That's where Decision Optimization comes in.
π While predictive models tell us what might happen, optimization helps us determine what should happen. It's the bridge between data science and real-world decision-making.
Using IBM Decision Optimization tools-like CPLEX and Watson Studio-we can solve complex business problems involving:
β
Supply chain planning
β
Workforce scheduling
β
Resource allocation
β
Production optimization
β
And more...
I've been exploring how optimization can complement machine learning models to deliver prescriptive solutions at scale. When combined, these technologies help businesses not just anticipate the future-but actively shape it.
If you're working on optimization problems or curious about integrating it into your workflows, I'd love to connect and exchange ideas.
π #DecisionOptimization #IBM #DataScience #OperationsResearch #CPLEX #WatsonStudio #PrescriptiveAnalytics #AIforBusiness
------------------------------
Abu turab
------------------------------