How digital twins and AI are driving new decision intelligence
Aaron Boasman-Patel, TM Forum
How digital twins and AI are driving new decision intelligence
Analytics, data-driven insights, and consequential decision-making are the brain of every business in the digital age. However, when it comes to translating insights and analysis results into effective decision-making, executable action plans, and valuable outcomes there is much room for improvement.
As a result, CSPs are moving away from traditional Business Intelligence (BI) to a Decision Intelligence (DI) approach so that they can better navigate complexity and become more knowledge-driven and results-oriented. In a recent TM Forum whitepaper, we looked at how CSPs are taking advantage of Digital Twin (DT) and AI to drive this transformation.
Decision Intelligence (DI) is a disruptive evolution of Business Intelligence (BI) that incorporates cutting-edge technologies, methods, and disciplines into their processes to turn data and information into better actions at any scale.
It is needed despite considerable investments over the last three decades in data warehouses (DWH), business intelligence (BI), analytics, reporting platforms, data lakes, and related infrastructure, systems, and tools. Today they struggle to provide business processes and decision-makers with timely, accurate, deep, context-aware insights, analytics, recommendations, predictions, and automated or pre-processed decisions.
Organizations need new descriptive, predictive and prescriptive analytics frameworks and platforms that provide data insights, analysis, predictions, and recommendations to drive real-time decision-making processes and action plans.
The TM Forum DT4DI project aims to define and develop an industry Decision Intelligence framework that integrates Digital Twin (DT), AI, and other technologies with business processes to help organizations make analysis, diagnosis, predictions, and decisions faster, more consistently, and more accurately than ever before, unlocking the power of data.
Read our whitepaper to find out more and watch our Global Architecture Forum webinar on demand
