Solid Data

Data integrity is of paramount importance in business decision-making. Improving data integrity involves implementing measures to ensure the accuracy, consistency, and reliability of data throughout its lifecycle. CMS Wire brought this interesting topic to us in their article, “Maximizing AI and Machine Learning with Quality Data.” In conjunction with data integrity, it is vital to establish…

Read More

The Crucial Role of Data Quality in the Age of Artificial Intelligence

In the rapidly evolving landscape of artificial intelligence (AI), data quality stands as a cornerstone for success. The power and effectiveness of AI systems rely heavily on the quality of training data. As organizations increasingly harness the potential of AI to drive innovation and make data-driven decisions, the importance of maintaining high-quality data becomes paramount.…

Read More

What to Do With the Data?

Open data and public health overlap in numerous ways to improve health outcomes, enhance research, and empower communities. By sharing and utilizing open data, public health efforts can become more effective, efficient, and transparent. PLOS brought us this interesting topic in their article, “The beauty of (open) data will save public global health.” Public health…

Read More

Taking Steps to Ensure Data Quality

Data quality is of utmost importance in today’s data-driven world. High-quality data serves as the foundation for making informed decisions, deriving accurate insights, and developing effective strategies. MarTech brought this interesting information to our attention in their article, “6 marketing automation use cases where AI can help with data quality.” Data quality directly impacts the…

Read More

Trusting the Data

Trust is a rare commodity in the digital age and in any industry. Between artificial intelligence (AI)-created content and questionable standards of ethics, decision makers might lose their trust in data. Data is nevertheless essential for making informed decisions and avoiding costly mistakes. This interesting topic came to us from Information Week in their article,…

Read More

Digital Trustworthiness

Trust is a rare commodity in the digital age and in any industry. Between artificial intelligence (AI)-created content and questionable standards of ethics, it has never been harder to trust data. Data is nevertheless essential for making informed decisions and avoiding costly mistakes. This interesting topic came to us from Information Week in their article,…

Read More

Machine Learning and Retail

Data is indispensable for an e-commerce business, especially if that business wants to take advantage of a machine learning-based customer engagement platform to optimize the customer experience. Analytics Insight brought this topic to us in their article, “How Does Poor Data Impact AI Systems?“ In today’s e-commerce landscape, the customer experience is everything. In order…

Read More

Quality and Integrity

Data quality has never been more important. It is at the heart of the success of enterprise artificial intelligence (AI) and other emerging technologies. It remains the main source of challenges for companies that want to apply machine learning in their applications and operations. Venture Beat brought this interesting information to our attention in their article, “Why data…

Read More