AI Insights

Get an overview of the tracks and sessions at the upcoming Forrester Data Strategy & Insights live virtual event.

The digital future is here. And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets. It Pays […]

Dramatic changes in consumer behavior and disruption in the workplace have driven firms in the Asia-Pacific region to speed up their digital plans. Analyst Leslie Joseph provides insight on expediting your digital transformation.

It's time for B2B marketers to rethink segmentation. Learn how refining your approach can help you engage and drive more revenue from your customer base.

Enterprises have been successfully leveraging analytics platforms such as business intelligence (BI), predictive analytics based on machine learning (PAML), cognitive search, and others for multiple applications and use cases for decades. That has not been the case with text analytics or natural language processing (NLP) technologies. Forrester tracks over a hundred vendors whose platforms are […]

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?