Accelerating Operational Decision-making through Low-code AI-powered Analytics

Using the “fabric” concept to ingest and federate massive volumes of disparate data TCS Connected Intelligence Platform? (CIP) harnesses the power of analytics, ML, AI and industry models to uncover and recommend operational insights hidden in traditional data silos spread across organizations and their ecosystems.

As digital transformation continues helping organizations reduce time-to-market, enhance productivity, and improve operational efficiency, it also enables them to roll out digital initiatives to improve customer experience and loyalty. The prevalence and impact of advanced analytics, artificial intelligence & machine language (AI & ML) have shown organizations that information and decision intelligence/data fabrics can integrate vast amounts of data from the entire value chain ecosystem. This capability allows them to produce contextual and cognitively enabled insights allowing them to maximize operational performance, deliver personalized customer experience, augment employee decisioning and embed decision automation in their business processes

Organizations today are working to gain cognitive decision intelligence by stitching together large volumes of data from multi-modal systems, machine learning models and business rules to orchestrate decision points in real-time. A key aspect of this process is embedding decision automation with business rules as well as with AI & ML models to deliver enhanced decision intelligence. By doing this managers and administrators can proactively identify the most effective assets and processes in day-to-day operations.?They can also reduce risks, deliver recommendations, and make intelligent interventions in real-, or near real-, time.

A few example use cases will help to illustrate some of the important benefits of embedding decision intelligence, including process advisory and real-time decision functions, directly into applications for customers, workers, and enterprise operations:??

• Customers - deliver personalized experiences for every interaction across channels to improve customer loyalty
• Employees - augment day-to-day decision-making with AI based recommendations and next best actions
• Enterprises - embed AI based decision automation in business processes to reduce inconsistent criteria, human intervention, and lag-time bottlenecks for greater operational efficiency

These use cases are just a few examples of the many ways cognitively enabled systems, leveraging decision intelligence/data fabrics, help companies to become resilient, agile, and sustainable while harnessing the full value of the entire network of organizational data.

TCS Connected Intelligent Platform? (CIP)

TCS Connected Intelligent Platform? (CIP) is a purpose-built decision intelligence platform which enables organizations to rapidly implement AI led real-time decision strategies across business operations, sales and suppliers using machine learning, business rules and contextual data across all the engaged systems and departments by connecting the complete business value chain.

A low code platform, CIP powers decision intelligence through data, AI & ML, and decisioning hubs. All of which are exposed through services which enables the platform to integrate decision services with customer engagement or supplier engagement.?Additionally it can create intelligent processes by automating process decision points.

CIP includes out-of-the-box adaptors which eliminate the need to:

1. Integrate data from multi-modal systems
2. Integrate multiple, varied data sources including batch and real-time
3. Build a trusted analytic feature store

The data hub enables integrating data from diverse data sources and the curation of a trusted data repository that is consistent for both machine learning model training and model inferencing in real-time. CIP also provides a drag and drop data pipeline canvas, and rich set of APIs, for real-time model serving and easy integration.?This expedites time-to-insights, and enables the construction of a high-quality analytic feature store for model training and inferencing.

Another key feature is CIP’s ability to increase insight confidence levels and eliminate bias in AI & ML models. CIP has an in-built AI & ML hub with low code AI tools which enables creating explainable AI models.?It further provides an analytic workspace with guided model building, scalable model serving, and model Ops to automate data drift detection, model retraining, validation and deployment.

Finally CIP’s decision hub enables the real-time orchestration of data, machine learning and deep learning models, business rules and action services in order to implement next best action strategies for most any kind of business event.

CIP makes complex decision-making simple, turning data into intelligent actions at scale, building future fit decisions using decision modeling and rapid implementation of AI powered, highly automated and augmented decisions in real-time across the enterprise.

To learn more about TCS Connected Intelligence Platform? (CIP) visit: https://www.tcs.com/solutions-connected-intelligence-platform

About the Author:

Hossein Sadiq is a Business Relationship Director for TCS Digital Software & Solutions.