Semantic Web, Linked Data, consultant, husband, father, music, geek, lifelong learner
While model explainability is a conventional approach, there now also arises the need for a new type: data explainability.
If Data Governance is accountable for usage, quality, lineage, and protection, then AI will have big potential impacts for all three.
Semantic technology builds relationships between data in various formats and sources, creating links out of these relationships.
Considering a career in Data Science? Good news: The employment rate for data scientists is projected to grow by 36% between 2021 and 2031.
By matriculating AI ethics principles into your product strategy, your company can build immediate trust with end users and customers.
When making the business case for AI, It is important to discuss the specific opportunities and problems the AI program will address.
In 2023, more organizations than ever have implemented advanced analytics use cases for gathering data and cleansing it.
Machine learning engineering is a specialized field that combines the principles of computer science, data science, and software engineering.
Real-world examples of machine learning abound in nearly every field and industry. Here's how the technology is being used today.
Data scarcity seems like a far-fetched problem with all the technology pulling data today. Yet, it’s becoming a real problem.
As companies become enamored with and use generative AI, people will see significant business productivity and challenges.