Customer Data Platform

Due to an increase in focus on digital transformation, CDPs have become more useful and essential than ever before. CDPs with artificial intelligence (AI) and machine learning (ML) capabilities can help organizations act on key trends faster, in part by making marketing more efficient. CDPs are extremely flexible, user friendly, and highly scalable with self-service mode.

With data privacy concerns on the rise and third-party cookies fading out, organizations will likely shift toward first-party data strategies that primarily rely on customer data they collect themselves, with customers’ consent. A CDP is one of the tools that can help organizations respond rapidly to market shifts and capitalize on new trends.

Data Science and Machine Learning Platforms

Data science and machine learning platforms define as a core product and supporting portfolio of integrated products, components, libraries, and frameworks. They will be provided in the market as SaaS or consumptionbased models. They are built as a fully cloud-native approach where customers can leverage all capabilities in a flexible container-based architecture that runs in the cloud with integration with popular, open-source tools and languages, for data, modeling, and model management.

Digital Experience Platform as a Service (dxPaaS)

A digital experience platform (DXP) is a wellintegrated and cohesive set of technologies designed to enable the composition, management, delivery, and optimization of contextualized digital experiences across multiexperience customer journeys. It provides multichannel delivery via APIs of digital interactions across all touchpoints, including IoT, AR/VR and digital

assistants. They also provide dynamic context-based personalization based on runtime user behaviour patterns, navigation patterns and purchase behaviour.

MultiCloud Management Services (MCMS)

Multicloud management is the set of tools and procedures that allows a business to monitor and secure applications and workloads across multiple public clouds. Containers and Kubernetes are key technologies for enabling multi-cloud management. Since containers bundle up apps with their dependencies and necessary services in a lightweight package, they make it easier for developers to build applications that can be deployed on any cloud. Kubernetes then allows those containers to be effectively managed, deployed, and automated.