Observed Signal · Aug 11, 2022 · Analysis · Source: CMSWire · Impact: 2/5 · Sentiment: Neutral
Powering Customer Experience Through Conversational AI, Analytics and Good Data
The article examines how brands can improve customer experience by combining conversational AI, customer analytics, and well-managed first-party data. Experts from Gridspace, Codelab303, Relative Insight, Peak, and iPaydayLoans discuss the shift from rigid rule-based chatbots to large pre-trained language models that enable more natural interactions. The piece highlights the importance of cleansing unstructured data, building a 360-degree customer view, and using analytics to inform next-best decisions. It also addresses challenges such as siloed point solutions and advocates for a connected AI/ML intelligence layer between backend systems and customer-facing tools. With third-party cookies being phased out, first-party data and conversational insights are presented as increasingly critical for future marketing success. Studies from Capgemini and Oracle/Future Workplace on AI trust and adoption are referenced.
Relevant to MarTech/CX as an editorial overview of conversational AI, data quality, and first-party data strategies, but it does not describe a specific industry-shifting event, product launch, or transaction.
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Key Takeaways & Evidence Grounding
- Evan Macmillan of Gridspace says large pre-trained language models enable more natural and flexible conversational AI compared to hard-coded rules.
- A Capgemini report found that 54% of customers have daily AI-based interactions with brands, and 49% of those found them trustworthy.
- An Oracle and Future Workplace AI@Work report found that 64% of employees would trust an AI chatbot rather than their manager.
- Ben Hookway of Relative Insight emphasizes leveraging unstructured text data as first-party data becomes more important due to third-party cookie deprecation.
- Tom Summerfield of Peak advocates for an agile SaaS intelligence layer to connect siloed point solutions and backend systems for personalization.
Connected Companies & Entities
3 Entities mapped“Tom Summerfield, retail director at Peak, a decision intelligence company, said point solution tooling is often not integrated....”
“A Capgemini report indicated that 54% of customers have daily AI-based interactions with brands....”
“An Oracle and Future Workplace AI@Work report revealed that 64% of employees would trust an AI chatbot rather than their manager....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
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