Articles
Data Quality
AI Adoption and Data Poisoning
Data Quality, Data for AIData poisoning refers to an attack intended to corrupt the training data used to train a machine learning (ML) system. ML systems rely on the data they’re trained upon to generalise their responses to novel information. The training data is curated to present the model with an appropriate sample. When that data is compromised, the ML system is also compromised.
Ongoing Data Readiness for DIY AI
Data Quality, Data for AIHigh-quality data is vital for training any machine learning system. Data readiness is an ongoing process. Let us explain.
AI agents need the right data
Data Quality, Data for AIAn AI agent is only as good as the data behind it. Data is the lifeblood that flows through all forms of automation, and that includes AI.
What is data cleansing?
Data Quality, GlossaryData cleansing, or data cleaning, is the process of finding and removing problems with the data in a database. Those problems include incorrect, corrupt, duplicated, incomplete or outdated data.
What is data cleansing?
Data Quality, GlossaryModern businesses collect a lot of data. In the internet era, every transaction, visit, delivery, page view, click, and share is registered as a new data point. This is extremely useful, because that information can tell you a lot about how your business is performing and what strategies might improve that performance. But collecting a lot of data is no guarantee of data quality. And that’s where data cleansing comes in.
DCA and Dataro Discuss: Your Roadmap to AI
Data for Nonprofits, Data Quality, Data Management, Data for AI“What do you need, and if you don’t have what you need, how can you get there?” Artificial intelligence is driving change across all aspects of our lives, it’s been all the buzz long before the emergence of GPT. Though, the idea of using ‘AI’-driven tools in our jobs as fundraisers still sounds a bit…
5 Things to Know Before Doing Data Enrichment
Data for B2B, Data Quality, Data Solutions, Business DataData enrichment, sometimes called data enhancement, means adding relevant information to your data to give it more context – and make it more valuable. This might mean getting complex demographic information to develop more targeted messaging….