Role of AI/ML in Commercial Insights and Customer Engagement

Find out how AI, ML, and NLP powered analytics enable accelerated insights and improve customer engagement for business success.

In today’s world of rapidly evolving analytics, legacy reporting, and BI platforms hinder a company from using analytics to its full potential due to the associated technology barriers, limited capabilities, and long development cycles. The promise of competitive differentiation drives commercial organizations to invest in AI/ML-powered analytics. Secondly, AI-powered insights coupled with enhanced user experience and productivity allow businesses to engage customers more effectively. As a result, there is an increase in AI adoption for meaningful business insights that are easier to access, faster, and cost-effective compared to legacy solutions.

Find out how AI, ML, and NLP-powered analytics enable accelerated insights and improve customer engagement for business success.

Key discussion points:

The business impact of democratized access to data insights and customer engagement
Role of AI/ML in the evolution of analytics: data integration at scale, expedited insights cycle, and improved customer engagement
Key factors to consider for successfully utilizing AI/ML: richer data sources, 360-degree view, and domain focus
Top themes for life sciences enterprises and commercial organizations for deploying AI/ML