The Digital Voice Assistant will learn over a period and will truly be an assistant who understands the user needs. From checking if the data is available to printing the required charts will be just a question away. For eg. Voice (Voice assistant), print the sales forecast once the data is ready. (as simple as saying “Voice, set a reminder for 5 minutes”)
Future-ready Enterprise Voice Assistant
Voice Skill will evolve over time. The voice assistant will run Business Intelligence (BI) reports and query the database. It will happen as the developer enhances the skill to add more Intents and Utterances, and each role is defined better. This needs to be seamless to the data consumer. Development and Deployment models of Voice Skills will mature rapidly.
Going beyond the Voice Skill, BI & Visualization tools will continue to serve the data consumer and will need better integration with Voice Skills. Most of the tools are already talking about Natural Language Processing (NLP) within their tool capability, which is a good sign.
Data needs to expand beyond tables and charts - Industry is moving towards specialized storage for every type of data like Files, Images, XML, NoSQL and any other unstructured data.
Data Virtualization, aptly called "Information Fabric", is going to take center stage in delivering the data across enterprise. BI tools fail when the user needs anything that is unstructured - that need will be served by the Data Virtualization technology. This will serve data in any form, from any part of the enterprise, from any location - where the user just consumes without connecting to multiple systems.
Coming back to Voice Skill - If Cloud platform adoption is complete, the capability to build a server-less function in any Cloud and integrating this with any BI tool and Data platform is already available (See Figure 1). This high-level architecture for any enterprise brings all the capabilities together and delivers a seamless experience to the user through the Digital Voice Assistant. Developing Voice Skill to access various capabilities across the enterprise can be classified as 2 categories – Access the BI tools in the enterprise, Access the Data in the enterprise.
In the architecture, Voice Skills can directly access all the BI components and similarly access all forms of data through the Data Virtualization Layer - so it only needs to understand the data (Not where it is coming from or how to access). Adaption and implementation of a Data Virtualization Layer will enable the Voice Skill to deliver the experience even if the underlying source system changes. This simplification of access and focus on Voice Skill will deliver the most effective consumer experience and answer the questions in the right time.