Targeting AI

Not yet three years old, GenAI has made a dramatic impact on society, law and art

In this two-year anniversary episode of Targeting AI from Informa TechTarget, Michael Bennett discusses the rapid evolution of generative AI technology, and its implications for society, legal frameworks and creative industries. He highlights the public's growing awareness and understanding of AI, the legal challenges surrounding copyright and fair use, and the moral questions that arise from the use of AI in creative fields. 
Featuring: Michael Bennett, associate vice chancellor for data science and artificial intelligence strategy at University of Illinois Chicago 
In this episode, we cover: 
The public's awareness of AI technology has significantly increased since the release of ChatGPT. 
Legal challenges surrounding generative AI focus on copyright and fair use, creating uncertainty for the industry. 
The disparity in AI infrastructure may lead to unequal benefits and negative consequences globally. 
The future of AI, including AGI (artificial general intelligence), is uncertain and requires careful consideration. 
To learn more about AI and the other regulation and governance news, check out SearchEnterpriseAI. 
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech. 
References: 
AI regulation: What businesses need to know in 2025 
XAI releases Grok 4 amid furor over antisemitic comments 
Anthropic’s early lawsuit win pushes courts forward on fair use 

News Now: Trump's AI plan and its impact on tech industry and users

In this special news edition of Targeting AI from Informa TechTarget, government reporter Makenzie Holland discusses President Trump's AI action plan and executive orders aimed at promoting AI development and ensuring U.S. dominance in the AI race.
Featuring: Makenzie Holland, Informa TechTarget senior news writer
In today’s episode, senior new director Shaun Sutner and AI news writer Esther Shittu cover these topics:
President Trump’s new executive order and its intent
How the executive orders differ from the president’s previous orders and President Biden’s 2023 executive order
Woke AI and political bias concerns
To learn more about AI and the other regulation and governance news, check out SearchEnterprise AI and SearchCIO
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
White House AI plan places scrutiny on state AI laws
Senate’s ‘One Big, Beautiful Bill’ affects AI, U.S. energy
S. policy moves reflect big tech issues with state AI laws
 

Database vendor MongoDB embraces GenAI

In this episode of the Targeting AI podcast from Informa TechTarget, Ben Flast, of NoSQL database vendor MongoDB, discusses the company's rapid integration of generative AI technologies, including vector search and real-time updates through Atlas Stream Processing. He emphasizes the importance of community engagement and the role of agentic AI in enhancing developer productivity. The conversation also explores the differences between open source and proprietary models, the impact of model sizes on performance, and MongoDB's approach to AI governance. Flast shares customer applications that highlight the transformative potential of AI in various industries and concludes with insights into future innovations at MongoDB.
Featuring: Ben Flast, director of product management at MongoDB
In today's episode, we cover these topics:
Vector search enhances the capabilities of GenAI applications.
Agentic AI represents a new application pattern for AI capabilities.
Model size affects performance and cost for developers.
To learn more about AI and the importance of GenAI in database platforms, check out SearchEnterprise AI and SearchDataManagement.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
Atlas Stream Processing
MongoDB vector search
Model Context Protocol GenAI standard

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
 

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.

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

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

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

Responsible AI and the need for AI safety standards

A key truth about AI is that regulation has long lagged innovation. However, this has not removed the responsibility of enterprises to deploy AI systems responsibly or for AI vendors to create responsible systems. What are the key metrics to understanding a safe AI system?
Featuring: Stuart Battersby, CTO at Chatterbox Labs, vendor of a quantitative AI risk metrics platform, and Danny Coleman, CEO at Chatterbox.
In today’s episode, we cover:
The difference between AI safety and responsible AI
The need for standards in AI safety
The future of AI safety in Enterprises
and more.
To learn more about responsible AI, check out SearchEnterprise AI.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
Assessing if DeepSeek is safe to use in the enterprise
EU, U.S. at odds on AI safety regulations
Responsible AI vs. ethical AI: What's the difference?

Resilient AI: Siemens' journey into industrial AI and generative technologies

Industrial AI is less familiar than consumer AI, but represents a critical and growing sector within AI’s influence. What unique AI applications are surfacing in this area?
Featuring: Olympia Brikis, director of Industrial AI research at Siemens
In today’s episode, we’ll cover…
Understanding Industrial AI and its distinctions from consumer AI
AI and, specifically, generative AI adoption at Siemens
The role of digital twins in testing AI recommendations
and more.
To learn more about AI in healthcare, check out Search Enterprise AI.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
CES 2024: Siemens eyes up immersive tech, AI to enable industrial metaverse
How businesses are using AI in the construction industry
Siemens forges digital twin deal with Nvidia for metaverse