Agencies will struggle to adopt artificial intelligence (AI) if they don’t consider how it will impact their employees, according to two federal officials.
DevOps opens the door for continuous innovation, rapid software deployment, and frequent updates to software-based features and products.
Artificial intelligence is trending, but fears of bias and discrimination can cause public outcry. In Canada, the public and private sector work together to mediate concerns.
Government leaders need to think of emerging technologies through the lens of innovation and through not the lens of technology.
Federal agencies need secure data warehouses to comply with the Office of Management and Budget’s latest guidelines, but time constraints and costliness often impede these efforts.
AI systems are igniting new opportunities across industries, but you must start your AI journey by building a technical infrastructure that will support it.
by Daniel Chenok, Executive Director, IBM Center for The Business of Government Contributors: Claude Yusti, Tatiana Sokolova with IBM, and Katie Malague and Peter Kamocsai with the Partnership for Public Service Few technological innovations offer the many potential benefits of artificial intelligence. AI tools range from entertaining to productivity-improving to life-saving, from playing poker orRead… Read more »
In this post, we talk about what most people ignore — the risks of AI. Prior to deploying the technology across your organization, it’s critical to identify and understand these risks and have a plan in place to mitigate them.
Modern technology can see through cameras, hear through microphones, feel through sensors and even think through artificial intelligence.
As with every new technology, AI comes with its own set of challenges, especially in the realm of data and compute. Data is the raw material of AI; the more data you have, the more accurate the AI learning process will be.