Article: Data Quality is now the primary factor limiting GenAI adoption
Source: https://www.forrester.com/blogs/gen-ai-data-quality-b2b/
The article discusses the crucial role of data quality in B2B AI projects, outlining challenges like diverse data sources and formats, and recommends a data quality framework for ensuring the predictions can be used with confidence.
Key Takeaways from the article:
- Data quality is critical in B2B AI projects to ensure accurate insights. Improved data quality leads to better customer experiences and operational efficiency. Lower data quality would lead to confusion and losing of customer trust
- Implementing a data quality framework involving profiling, cleansing, and monitoring is essential when working with LLMs
- Data quality should be viewed as a continuous process for long-term success.
- Forrester’s September 2023 Artificial Intelligence Pulse Survey showed that 70% of B2B companies are already using genAI and another 20% are exploring its use.
Article: Data Quality is now the primary factor limiting GenAI adoption
Source: https://www.forrester.com/blogs/gen-ai-data-quality-b2b/
The article explores the transformative trends of generative AI and its impact on software development, highlighting its potential to revolutionise coding practices and improve productivity.
Key Takeaways from the article:
- Generative AI can automate repetitive coding tasks, freeing up developers to focus on more complex and creative aspects of software development.It has the potential to accelerate the development process and reduce time-to-market for software products.
- Generative AI tools can assist developers in writing cleaner, more maintainable code.