Read more about author Yuval Perlov. The emergence of artificial intelligence (AI) brings data governance into sharp focus because grounding large language models (LLMs) with secure, trusted data is the only way to ensure accurate responses. So, what exactly is AI data governance? Let’s define “AI data governance” as the process of managing the data product lifecycle within AI systems. To keep it simple, we can break down AI data governance into…

Read more about author Soline Guerineau. Rigorous decarbonization goals have run up against the realities of running businesses. Companies are falling short of targets, as a 2022 study by the CDP (Climate Disclosure Project) revealed a mere 0.4% of disclosing organizations had credible climate transition plans, with 13% making progress. We’ve made progress in regulations, investments, and technologies; and learned a lot about the complexity of this Herculean effort. However, the current state…

Read more about author Rahul Rastogi. In May, OpenAI announced a partnership with Reddit to train its language models using the forum’s extensive collection of user-generated content. OpenAI’s goal of enhancing its models’ ability to respond to real-world conversations and diverse linguistic patterns seemed straightforward. But the decision quickly sparked concerns – namely, the potential inclusion of misinformation and biased content in the training data, based on the unregulated nature of Reddit’s…

Read more about author Itamar Ben Hemo. Given that data is the lifeblood of modern enterprises, the specter of data breaches looms large. The 2024 Snowflake data breach sent shockwaves through the tech industry, serving as a stark reminder of the ever-present threats in data management. While the cause of the breach came down to a combination of an aggressive hacking campaign and poor security practices on the part of…