Diverse data, ethical use key to responsible AI engineering
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
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Tech pioneer Alan Trefler of Pegasystems: GenAI added creativity, speed and scale to workflows
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.
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Exploring Nvidia’s approach to AI factories and AI supercomputers
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
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Using GenAI and AI agents as key assets in work management
Generative AI has led to many fears about the workforce. However, for work management platform vendor Asana, GenAI and agentic AI can be effective tools in the workforce. Instead of replacing humans, AI technology can work alongside humans. Despite the potential for collaboration, not all tasks require the use of AI technology.
Featuring: Saket Srivastava, CIO of work management platform, Asana.
In today's episode, we cover:
The collaboration between AI technology and humans
Employees need training and support in AI
How GenAI can significantly improve project management tasks
and more.
To learn more about AI and Asana, check out SearchEnterpriseAI.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
Project management vendor Asana brings AI to Work Graph
6 of the top change management applications
Connected workspace apps improve collaboration management
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Evolution of Grammarly AI and the future of work
As an AI writing assistant, Grammarly has used AI technology from its inception. The popularity of large language models has led to a shift in which the writing assistant vendor moved from natural language processing to including large language models to help enterprise employees improve their writing as they work. This has led Grammarly to see a possibility in the part it can play in transforming the future of work.
Featuring: Luke Behnke, head of Enterprise Product at Grammarly, an AI-powered assistant writing platform.
In today’s episode, we cover:
Grammarly’s AI evolution
Agentic AI and the future of work
AI technology as an assistant and not a replacement for work
and more.
To learn more about AI and Grammarly, check out SearchEnterprise AI.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
Grammarly AI and an update to the writing tool
What will be the future of the workplace?
Top 4 AI writing tools for improved business efficiency
Hosts Shaun Sutner, TechTarget News senior news director, and AI news writer Esther Ajao interview AI experts from the tech vendor, analyst and consultant community, academia and the arts as well as AI technology users from enterprises and advocates for data privacy and responsible use of AI. Topics are related to news events in the AI world but the episodes are intended to have a longer, more ”evergreen” run and they are in-depth and somewhat long form, aiming for 45 minutes to an hour in duration. The podcast will occasionally host guests from inside TechTarget and its Enterprise Strategy Group and Xtelligent divisions as well and also include some news-oriented episodes featuring Sutner and Ajao reviewing the news.
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