| | APRIL 20198CIOReviewIN MYOPINIONIn their current forms, Artificial Intelligence (AI) and Business Intelligence (BI) automate the mundane and aid decision-making respectively. Their confluence presents opportunities to do more. It offers two transformational opportunities:1.Accelerated Data Democratization2.Embedded Analytics and Business Processes TransformationAccelerated Data DemocratizationThe democratization of data makes it accessible and facilitates self-serve analysis by the user. While many organization shave already started this journey, there is an opportunity to accelerate.· Why: The most significant upside is a shift towards fact-based decision making. With all the hype around sophisticated machine learning, it's easy to forget that even today, managers frequently argue over facts. Sometimes this creates a culture of compromise masked by collaboration. Once this problem is solved, driving the adoption of more sophisticated technologies becomes easier. · How: The key is to define ease of access from the user's point of view. The user may know how to navigate a spreadsheet but may not like the task. They may not know SQL or pivot tables. More importantly, all of this may seem to distract in the context of their roles and priorities. There can also be strong preferences for specific formats ranging from printing every attachment to only audio-visual content.· What: The current state may be that too many bulky reports land up in everyone's mailbox. The desired end state is often a single source of truth for rich data available on demand in an interactive and intuitive format. AI can help users query data through a voice or touch interfaces and present relevant BI IN THE AGE OF AIACCELERATED DATA DEMOCRATIZATION, EMBEDDED ANALYTICS,AND BUSINESS PROCESS TRANSFORMATIONBy Guha Athreya Bhagavan, Director, Data Science, GraingerGuha Athreya Bhagavan
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