In a detailed white paper titled, “Achieving the Vision of What BI Should Be,” authors at WhizAI highlighted the importance of accurate, timely data for commercial businesses within the life-sciences sector. In order to successfully achieve the very best information in the post-pandemic economy, businesses will need to utilize tools within the technology toolbox to manage the immense amount of information critical to success.
Specifically outlined in the whitepaper is the use of artificial intelligence to help businesses navigate market shifts while accurately tracking the latest trends essential to maximize investments.
WhizAI’s co-founder and CEO, Rohit Vashisht itemized the top 12 things benefitting AI-enabled analytics and why businesses within the life sciences arena should consider this as a critical element in managing data.
1. AI-Driven Real-Time Insights: On-demand insights and real-time charts via Visualization AI
2. Self-Service Access to Content: Ask questions in natural language; drill to any data granularity; minimal training; no code environment
3. Scalable to Meet Evolving Needs: No need to create reports; automatically adapts to business changes (product launch, realignment, etc.)
4. Reduced Manual Upkeep of Reports: AI-powered maintenance and enhancements; lower total cost of ownership
5. User Preferred Interface: Seamless experience across mobile, tablet, web, and text; Voice and text-based interaction
6. Augmented Analytics: Life Sciences trained ML algorithms answering how/why questions; relevant alerts
7. Performance: Lightning fast response to ad-hoc user queries; sub-second responses on billions of records
8. Platform Scalability: Containerized microservices-based architecture; highly scalable; runs on standard hardware
9. Cloud Native and Agnostic: Optimized and designed to deploy on any public/private cloud (AWS, GCP, Azure, etc.)
10. Enterprise Ready: Single sigh on; Multi-tier security provision; audit and log capabilities; behind a firewall
11. Data Source Connectivity: Direct connectors and adaptors for data sources/systems; no need to host filed on FTP/S3
12. Change Management: Minimal planning needed; save time and money in rollouts; high adoption rate