Trustworthy AI, Powered by Trusted Data
Key takeaways: The success of your AI initiatives hinges on the integrity of your data. Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid...
Key takeaways: The success of your AI initiatives hinges on the integrity of your data. Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid...
Key Takeaways: Data governance has transitioned from a regulatory necessity to a strategic asset that enhances innovation. Robust data governance supports AI applications, ensuring data is AI-ready,...
Key Takeaways: The significance of using legacy systems like mainframes in modern AI. How mainframe data helps reduce bias in AI models. The challenges and solutions involved in integrating legacy...
Key Takeaways: Interest in data governance is on the rise – 71% of organizations report that their organization has a data governance program, compared to 60% in 2023. Top reported benefits of data...
Key Takeaways: Data enrichment is the process of appending your first-party data with contextually rich third-party data, enabling you to make more data-driven decisions. Traditionally, data...
At Precisely, we celebrate the women in our organization because we know that while more women are joining the technology industry, there’s still a gender gap. Supporting and advocating for women...
Key Takeaways: Siloed communication channels can result in inconsistent messaging across departments. Define a digital strategy around customer needs to create a foundation for unifying...
Large Language Models (LLMs) became popular after the release of ChatGPT two years ago. The idea of chatting with an AI through a browser significantly reduced the technical barriers, making LLMs the...
Key Takeaways: Harness automation and data integrity unlock the full potential of your data, powering sustainable digital transformation and growth. Data and processes are deeply interconnected....
Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity...
Key Takeaways: Automation adoption is gaining momentum as a core component of digital transformation strategies – but integration and multi-dimensional complexity remain top challenges. Most...