AI Insights

Our analysts address the five most pressing questions in the facial recognition debate.

The elasticity quotient can help overcome machine learning hurdles by acting as the economic indicator for the C-suite. Learn how.

A defining factor for enterprises and governments throughout the pandemic has been the extent to which they've embraced and been led by data.

Enterprises need more artificial intelligence and machine-learning (ML) solutions to drive value, transform their businesses, and outperform the competition. But firms find it challenging to navigate the lifecycle of developing, deploying, and maintaining their ML models and AI solutions. A key problem? They don’t have the right PAML (predictive analytics and machine learning) solutions that […]

At CX North America, you'll learn how to interpret and implement ethical AI principles across your organization to protect your customers, business, and brand.

The COVID-19 crisis has accelerated automation adoption, not just as a cost measure, but also for risk mitigation and business resiliency.

Whether small businesses survive in the next few months depends on what lenders do right now. But they're struggling to underwrite and disburse loans at speed that will give small businesses the access to the working capital that they desperately need. Learn what lenders can do.

If there’s one thing the COVID-19 pandemic has taught businesses, it’s how vital core infrastructure and operations are to an organization’s resiliency and dependability. But where does innovation fit into the new normal?

Thanks to COVID-19, the future of work starts now. Uncover the four shocks that were already going to pass through today's workplaces, affecting employees, leaders, and organizational mandates. But now, they are all accelerated.

Artificial intelligence can help marketers fulfill their mission of influencing prospects and clients. But using these tools well requires keen human judgment.

The time of year has finally arrived when the sun lingers on the horizon longer and longer, life creeps back into the trees, and weather forecasts look much more favorable. But this normally welcome period of seasonal change coincides with unprecedented change in how we are forced to conduct business. In the midst of the […]

(Jeremy Vale coauthored this post.) Automation-focused machine learning (AutoML) has the power to dramatically upscale AI at your organization. With AutoML tools, organizations can unlock valuable new business insights, embed advanced AI capabilities in applications, and empower data scientists and nontechnical experts alike to build predictive models rapidly. AutoML Gives New ML Powers To Data […]

Vice President Ted Schadler explores how combining data sources with mapping capabilities can create tools to inform public health decisions.

AI is supposed to be the most powerful pattern detection and prediction technology in the world. It therefore begs the question: Can we use AI to predict future global pandemics far enough in advance to tamp them down or prevent them altogether?

As companies navigate through murky waters amid global health and economic headwinds, as a data and analytics leader, it may feel like there are many things that are out of your hands today. As you weather these conditions, it is still important to chart a steady course and be laser-focused on the parts you can […]

Flying taxis, concept cars, curved screens, and folding PCs are lighting up Las Vegas nights. This is a place where the world’s best tech gets unveiled. As intelligence will transform most verticals, including transportation, smart home, healthcare, and public services, emerging technologies such as 5G, the internet of things (IoT), and edge computing are forming […]

In China, local tech companies have worked to slow the spread of the illness, demonstrating the potency and real-world value of emerging technologies.

The best AI consultancies move projects from pilot to production. Learn the 7 qualities to look for in finding the right service provider for your AI strategy.

AI is not a black box and AI developers must learn to accept and deal with bias. Analyst Andrew Hogan gets some insights on AI and ethics from Carol Smith of Carnegie Mellon's Software Engineering Institute.