It’s impossible to have a conversation about artificial intelligence these days without the topic quickly shifting to ChatGPT.

Master Data Management provides the foundation for building trust in AI and ensures high-quality, reliable data that fuels accurate and fair AI models.

Even in challenging times, high-quality data is your secret weapon for success.

LCNC plays a pivotal role in democratizing data access and driving data-driven decision-making across organizations.

ESG reporting is mandatory in 2024 – and having access to accurate and reliable data is a critical component of credible reporting.

Data governance establishes a framework for managing data effectively, it’s the bridge between user freedom and data security.

The traditional approach to data security relies heavily on a perimeter defence strategy. Firewalls, intrusion detection systems, and access controls like Role-Based Access Control (RBAC) safeguard against external threats. However, in today’s digital landscape, the biggest security risks often come from within.

With over 60% of South African organisations admitting that they’ve been the targets of economic crimes and fraud, enterprises must adopt a proactive stance to protect themselves.

Incorporating systematic exploratory data analysis (EDA) into the upstream data pipeline means weaving data exploration and understanding seamlessly into the early stages of your data processing workflow.

Whether or not you can trust the answers from AI depends on several factors. By being critical of AI outputs and understanding the limitations of the technology, you can make informed decisions about when to trust them and when to seek other sources of information.