The lack of diversity in AI systems has been an issue since the birth of the technology. In this episode of the Targeting AI podcast from Informa TechTarget, Karen Panetta discusses the importance of diversity in tech, and the ethical implications of AI. She emphasizes the need for inclusive design in engineering and AI systems, the role of digital twins in education, and the challenges of AI bias.

Featuring: Karen Panetta, an IEEE fellow and dean of graduate engineering education at Tufts University

In today's episode, we cover these topics:

• AI should focus on solving real-world problems rather than being applied indiscriminately.
• Ethical AI must prioritize the principle of “do no harm” to individuals and communities.
• AI bias can lead to significant real-world consequences, especially in healthcare and hiring.

and more.

To learn more about AI and the importance of diversity in AI systems, check out SearchEnterprise AI.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• Generative AI will force diversity in AI systems
• Federal report focuses on AI diversity and ethics
• Diversity in hiring a key to eradicating AI bias

In this episode of the Targeting AI podcast, Shaun Sutner and Esther Ajao interview Alan Trefler, founder and CEO of Pegasystems, discussing the evolution of AI technology, particularly generative AI, and its integration into business processes. Trefler shares insights on the differences between design time and runtime applications of AI, the importance of workflow engines, and the challenges of AI safety and reliability. He emphasizes the need for collaboration between AI and human expertise, and outlines Pegasystems' roadmap for effectively using AI in business process automation and legacy transformation.

Featuring: Alan Trefler, founder and CEO, Pegasystems.

In today's episode, we cover how:

• GenAI has significantly advanced Pegasystems' offerings.
• GenAI coaches differ from traditional generative AI assistants by focusing on design time.
• Design time is crucial for ensuring reliable AI outcomes in business settings.
• GenAI can enhance business process automation by streamlining workflows.

References:

• Pegasystems expands agentic AI for business automation | TechTarget
• Pegasystems expands generative AI in CX, BPA cloud platform | TechTarget
• Pegasystems unveils AI assistant for knowledge management | TechTarget
• CRM and BPM vendor Pegasystems adds new AI features | TechTarget

To learn more about AI and Pegasystems, check out Informa TechTarget news sites, including SearchCustomerExperience and SeachEnterpriseAI

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

Nvidia's hardware strategies are powering AI technologies. Recently, networking has become the critical backbone of modern AI systems. In today’s episode, Kevin Deierling provides practical insights for enterprises looking to implement AI technologies effectively. Deierling contrasts traditional data centers with the emerging concept of AI factories, revealing how these specialized environments are reshaping enterprise computing.

Featuring: Kevin Deierling, senior vice president of networking, Nvidia.

In today's episode, we cover:

• Nvidia hardware and software approach
• AI factories and data centers
• Agentic AI and the shift toward complex reasoning

and more.

To learn more about AI and Nvidia, check out SearchEnterprise AI.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• Nvidia AI platform for cloud GPU providers widens supply
• Nvidia, AMD and others tout partnership with Saudi Arabia
• Nvidia aims at agents, physical AI with reasoning models