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Diverse data, ethical use key to responsible AI engineering
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محتوای ارائه شده توسط Informa TechTarget. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Informa TechTarget یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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:
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اشتراک گذاریManage episode 491868500 series 3493557
محتوای ارائه شده توسط Informa TechTarget. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Informa TechTarget یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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:
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In a market dominated by Nvidia H100 GPUs, Cerebras Systems seeks to develop the world's largest AI chip, the Wafer Scale Engine. In this episode of Targeting AI from Informa TechTarget, James Wang, the vendor's director of product marketing, discusses the importance of the inference market for AI technology and how the company's strategic partnerships are essential for growth. He elaborates on the evolving landscape of AI, including the significance of agentic AI and touches on Cerebras' future direction as a cloud and API company. Featuring: James Wang, director of product marketing at Cerebras Systems In this episode, we cover how: Cerebras approaches competing against Nvidia. Cerebras approaches differentiating itself from other AI inference vendors The company is evolving into a cloud and API product company to meet market demands. Agentic AI represents a new frontier in AI applications, enabling complex tasks through multiple requests. To learn more about AI and Cerebras Systems and other hardware news, check out SearchEnterpriseAI . To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech . References: Cerebras launches Alibaba model, forms key AI partnerships Cerebras' inference AI tool challenges Nvidia, but faces hurdles Microsoft, AWS and Cerebras launch DeepSeek-R1 model…
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Targeting AI
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…
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…
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…
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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Targeting AI
1 Tech pioneer Alan Trefler of Pegasystems: GenAI added creativity, speed and scale to workflows 33:04
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…
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…
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…
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?…
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…
Traditional, generative, agentic—in the past couple of decades, AI metamorphosed into an indisposable tool for enterprises wanting to streamline their processes and improve their impact. In this episode, we dive into the different types of AI, best practices for implementation, and the challenges faced in the industry. Featuring: Deepak Singh , Vice President at AWS In today’s episode, we’ll cover… The difference between traditional AI, generative AI, and agentic AI The role of agentic AI in software development Best practices for implementing agentic AI and more! To learn more about agentic AI, check out Search Enterprise AI . To watch the video version our podcast, subscribe to our YouTube channel, @EyeOnTech . References: AWS intros new foundation model line and tools for Bedrock Amazon Q, Bedrock updates make case for cloud in agentic AI Amazon to spend $100B on AWS AI infrastructure…
In the couple of years since the popularization of ChatGPT , generative AI technology has quickly taken hold in the legal profession. It has backfired in some cases, such as when an attorney filed a legal brief written with ChatGPT's help and the AI platform hallucinated some of the cases in the brief. That case and others have led some law firms to block general access to AI tools. Most recently, Hill Dickinson, a law firm in the U.K., asked its staff not to use generative AI tools like ChatGPT. Many law firms are using generative AI tools, and some even market their own AI systems. AI vendors are also partnering with law firms and companies in the legal profession. In February, LexisNexis and OpenAI agreed to integrate OpenAI's large language models across its products. The success, and uncertainty, surrounding AI tools in the legal profession led James M. Cooper and Kashyap Kompella to write the book A Short and Happy Guide for Artificial Intelligence for Lawyers . Cooper is a law professor at California Western School of Law, while Kompella is CEO of AI analyst firm RPA2AI Research. In the book , Cooper and Kompella explore how lawyers can understand and use AI technology. "We saw an urgent need to upskill lawyers on AI," Kompella said on the latest episode of Informa TechTarget's Targeting A I podcast. "How do you move AI ethics and responsible AI into practice? You have to move them through lawyers. Lawyers are a big part of that equation." Kompella and Cooper argue that while numerous books for lawyers about AI exist, few focus on using the technology ethically. The authors also argue that while the legal profession has traditionally been slow to adopt new technologies, it can benefit from AI for several reasons. For example, AI technology can provide access to legal services for those in underserved areas like rural communities in the United States, Cooper said. "AI can be a game changer in terms of provision of legal services," he said. However, providing more education is the key to helping legal professionals understand AI technology . "The law school curriculum is not teaching AI or any technologies to the students, so there is a huge skill gap," Kompella said. Cooper added, "The skill sets of prompt engineering, of knowing how to use these AI tools and the dangers that come with them, should be rote in law schools now right from the first year. Those law schools around the world that embrace this idea are future-proofing their students. They're not going to have to play catch up." Esther Shittu is an Informa TechTarget news writer and podcast host covering artificial intelligence software and systems. Shaun Sutner is senior news director for Informa TechTarget's information management team, driving coverage of artificial intelligence, unified communications, analytics and data management technologies. Together, they host the Targeting AI podcast series…
Without a good data strategy, generative AI becomes unusable technology for enterprises. This was true when ChatGPT started becoming popular, and it is even more accurate years later. The most recent example is the AI Chinese startup DeepSeek . While most AI cloud providers like Google, AWS and Microsoft now offer the DeepSeek-R1 reasoning model, many AI experts believe that enterprises might be hesitant to use it due to the data it was trained on. Despite DeepSeek's R1's innovation, it all comes down to the foundation, said Michelle Bonat , chief AI officer at AI Squared, an AI and data integration platform. "As GenAI expands and expands ... the fundamentals are the fundamentals," Bonat said on the latest episode of Informa TechTarget's Targeting AI podcast. She added that while many organizations may have started with GenAI by just putting up a chatbot, many have found that if they do not have good quality data, they might have to pause their GenAI initiatives. The reason is that the nature of generative AI systems is to produce responses. Therefore, if they do not have good-quality data , they tend to hallucinate. Thus, Bonat said the growth in GenAI initiatives across organizations has also led to an increase in conversation around data strategy, data quality and data cleanliness. "They're very much connected," she said. "GenAI has become important in the conversation that connects with data strategy, data quality, data cleanliness and also, ultimately, in responsible AI and governance within the organization." She added that enterprises should pay attention to data and responsible AI because it benefits their businesses. "It's a competitive advantage to have responsible AI," she continued. "Customers want AI systems they can trust. ... Being transparent and having responsible AI helps increase your brand reputation." Esther Shittu is an Informa TechTarget news writer and podcast host covering artificial intelligence software and systems. Shaun Sutner is senior news director for Informa TechTarget's information management team, driving coverage of artificial intelligence, unified communications, analytics and data management technologies. Together, they host the Targeting AI podcast series.…
While some vendors are working to ensure large language models become better at reasoning, other AI vendors are making them compatible in multiple languages. Writer is a provider of a full-stack generative AI platform for enterprises. While the vendor provides a generative AI platform that enterprises can use to build generative AI capabilities into their workflows , it also offers a family of LLMs: Palmyra . The models support text generation and translation in numerous languages, including Spanish, French, Hindi and Russian. "Multilingual training data and models that can be as good in dozens of other languages as they are in English is something everybody should strive for," said Writer cofounder and CEO May Habib on a recent episode of Informa TechTarget's Targeting AI Podcast. Writer also uses large volumes of synthetic data to help build legal confidence in generative AI technology, Habib said. Writer also publishes data on how its models score for bias and toxicity. "We really want to make sure that we are compliant with folks' ESG [equity, sustainability and governance] guardrails and guidelines," Habib said. Writer recently raised $200 million in series C funding, bringing its valuation to $1.9 billion. Esther Shittu is a TechTarget Editorial news writer and podcast host covering artificial intelligence software and systems.…
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