Data Services
Blog & News Centre.
AI Adoption and Data Poisoning
Data 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.
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5 Tips to Align Your Data Strategy With AI
Data Management, 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.
What’s the Best CRM for Your Business? Top 10 CRMs by Use Case
Data Management, Data TechnologyDifferent platforms will have an edge over others in certain areas. This makes a ranked list unhelpful, but matching CRM to business needs can help businesses prioritise which options to investigate. 10 of the most common CRMs we encounter, separated by use case.
How to Keep Up with Changes in Data Privacy
Compliance & Governance, PCI & Privacy Act ComplianceWhile data driven operations have become more and more accessible to small and medium enterprise over the past years, that same ease of access has left a substantial number of organisations with stored personal data, serious privacy obligations and limited resources to keep up with the changeable privacy landscape.
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.
What is data privacy?
Compliance & Governance, Glossary, NFP Solutions, PCI & Privacy Act ComplianceWhen we interact with other people and organisations in the world, we reveal information like our names, what we look like, where we’re from, or other, more specific information. This is our personally identifiable information. The idea of privacy concerns all aspects of the collection, storage, dissemination and use of that information.
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.