I'm curious what are companies doing with regards to educating and training their organizations on AI (the "what", the tools, the how to use those tools/create good prompts, etc.), and also who is taking the lead efforts on driving the training...
In part two of our series about Generative AI in the Workplace we will drill down into the impact on leaders.
Various companies are focused on the future of AI governance. For instance, in 2022, Microsoft releasedversion 2of its "Responsible AI Standard," a guide for organizations managing AI risks and incorporating ethical AI governance into their strategies. Other companies that have committed to implementi...
AI may be the cornerstone technology of the Fourth industrial revolution, but business leaders hold the key towards the social revolution needed to ensure that AI is fit for the 21st century. Toward this ambitious but necessary end, we put forward strategic “do’s and don’ts” to gui...
Business leaders are missing out on many opportunities without proper MLOps platforms in place. So, how can companies get started? Look at What to Consider Before Implementing a MLOps Platform A MLOps platform can benefit companies of all sizes. Still, it is important to think about how much...
What is the Business with AI? Preparing Future Decision Makers and LeadersWith companies now recognizing how artificial intelligence (AI), digitalization, the internet of things (IoT), and data science affect value creation and the maintenance of a competitive advantage, their demand for talented ...
Companies that prioritize ESG are thriving. For example, organizations with strong ESG practices have seen their brand value grow by 175% over 12 years, compared to just 70% for those with a lower impact. Importance and benefits of an ESG strategy for HR It’s clear that ESG is more than...
Whether building an ethics committee or revising their code of ethics, companies need to establish a governance framework to guide their investments and avoid ethical, legal and regulatory risks. As AI technologies become increasingly responsible for making decisions, businesses need to be able to see...
Current machine learning solutions usually need a large volume of well-labeled data, which makes this approach harder for companies with smaller datasets, poor data quality or budget constraints. Using ML, including deep learning, to make predictions enables an AI-driven process to automate the sele...
The Organisation for Economic Co-operation and Development (OECD):The OECD AI Principles, adopted by over 40 countries, emphasize responsible stewardship of trustworthy AI, including transparency, fairness and accountability in AI systems. Corporate AI ethics boards:Many companies have established ethics ...