Articles
Data for AI
AI Adoption and Data Poisoning
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.
5 Tips to Align Your Data Strategy With AI
Data for AILarge businesses across the globe have enjoyed productivity gains through their applications of machine learning and similar technologies. Lately, their efforts have turned to exploring the potential of generative AI. Unsurprisingly, small and medium organisations are keen to follow suit and reap these possible benefits — ideally before their competition does.
Ongoing Data Readiness for DIY AI
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 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.
The ancient roots of generative AI
Data for AIWith the recent release of GPT-4o from OpenAI, there’s never been a better time for us to dip our toes into the technologies underpinning our newest and most advanced generative AIs. Artificial Intelligence (AI), as we currently use the term, broadly refers to manmade constructs that can complete tasks that would usually require human reasoning.
DCA and Dataro Discuss: Your Roadmap to AI
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…
What’s augmented intelligence and how is it different to gen-AI?
Data for AIAugmented intelligence is an AI perspective that centres humans and focuses on the enhancing and assistive role that technology can play. In short, rather than replacing humans in workplace environments, augmented intelligence is AI that makes us better at what we do.