Are all algorithms inherently biased? Of course not, but the risk of AI gone wrong is a real one for many organizations. Find out why as VP, Principal Analyst Brandon Purcell discusses fairness in AI.

Bias In AI: Avoiding An Algorithmic Debacle

Each week, the What It Means podcast invites Forrester analysts to discuss the latest trends and challenges to help business and technology leaders make bold decisions and become truly customer-obsessed. Topics range from tech-driven innovation and CX design to B2B buying trends and marketing planning.

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With AI PCs finding their way into the consumer market this year, the big question is: When will they hit the enterprise market? In this episode, Principal Analyst Andrew Hewitt discusses the current state and future potential of AI PCs.

The Future Of AI PCs: Roadmap To Enterprise Adoption

There are a lot of reasons why cloud cost management is a thorn in the CIO’s side. In this episode, Principal Analyst Tracy Woo describes how FinOps, the FOCUS standard, and other new initiatives can help reduce cloud costs.

Deciphering Cloud Costs: There’s Hope

Journey centricity can help companies boost their revenue, reduce costs, and build better experiences for customers and employees. What defines a journey-centric company, and what does it take to become one? Vice President and Principal Analyst Joana de Quintanilha explains on this week’s episode of What It Means.

What Makes Journey-Centric Companies Different

As generative AI becomes more pervasive in products and ads, consumers are questioning what they see and, by extension, whether they should trust the brands using it. How should brands navigate these perils? Principal Analyst Audrey Chee-Read shares insights and advice on What It Means.

How Brands Can Steer Clear Of GenAI Backlash

The world’s first binding legislation on AI has arrived, and its impact will extend far beyond Europe’s borders. This week on What It Means, Principal Analyst Enza Iannopollo explains the EU AI Act’s timeline, enforcement, and potential impact on innovation.

Bias In AI: Avoiding An Algorithmic Debacle

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