Podcasts
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AI industry could see regulation rollback under Trump
AI businesses are expected to enjoy deregulation under the new Republican presidential administration.
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Exploring the role of AI in beauty and haircare
Myavana uses machine learning to recommend products to Black women. The service is valuable to enterprises that can take use of the breadth of data the vendor has on Black hair.
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Closing the gap between open source and closed AI models
More enterprises are fine-tuning open models from vendors including Meta, xAI and Mistral AI. This has led startups like Together AI to see this is the future.
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Enterprise adoption of generative AI is accelerating
More enterprises are using generative AI. There is no consensus on the best use case or if open or closed models work better. Organizations that used AI before ChatGPT are ahead.
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Google's head of product on generative AI strategy
The cloud, search and AI giant has seen its fortunes rise and fall during the rise of GenAI technology. Its strategy has been to provide choices while aiming to stay ahead.
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Generative AI will force diversity in AI systems
In this podcast episode, David C. Williams, vice president of automation at AT&T, explains why vendors have no choice but to include diversity in their data sets.
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Generative AI fuels growth of online deepfakes
As generative AI systems and voice cloning apps grow, organizations are seeing a rise in fraudulent calls. Organizations need to be vigilant and plan to deal with these threats.
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Examining the tech stances of Kamala Harris and Donald Trump
Harris has been close to the tech and AI community in her home state of California but is markedly more pro-regulation than Trump. The candidates are vying for tech and AI support.
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A year in review with the Targeting AI podcast
The show explored diverse angles on generative and mainstream AI technology. It delved into regulation, ethics, startups and trends with vendors, AI users, developers and thinkers.
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AWS GenAI strategy based on multimodel ecosystem plus Q
While offering its own large language models and AI chips, the tech giant gives customers access to other vendors' generative models, including open models.
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Walmart uses GenAI for payroll, employee digital experience
The retail powerhouse is providing its associates with generative AI tools to use to automate parts of their job. The company is also using the technology to spot payroll problems.
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Lenovo stakes claim to generative AI at the edge
The laptop, PC and mobile phone vendor pursues its 'pocket to cloud' strategy, claiming device-native generative AI is more secure, private and economical.
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The importance of open source in GenAI
Lightning AI, the creator of PyTorch Lightning, was a pioneer of open source technology. The vendor has built on many platforms, but CTO Luca Antiga doesn't see one as best.
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A vision of an AI future that might not include humans
Artificial intelligence is moving so quickly that it has already become part of daily life. In the not-too-far-off future, some think it could supplant human civilization.
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Salesforce open model AI strategy aims for trust, automation
The CRM and CX giant is leaning on generative AI for sales and customer service applications and is aiming to ensure that users can trust the output of large language models.
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Examining developers' perception of AI tools
At GitHub and for many coders, AI technology can shoulder some of the cognitive burden. However, inaccuracies that come with the tools can be hard for some.
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Musicians and the fight for fairness in the age of GenAI
Artists say generative AI systems are threatening their livelihoods. Jenn Anderson-Miller, CEO of music licensing company Audiosocket, has ideas about how to address the issue.
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Security, bias risks inherent in GenAI black box models
Language models are stochastic models that generate output based on data upon which they have been trained. Often, these models are a closed black box. That leads to many problems.
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Podcast: AI, hiring and the need for humans in the loop
An HR expert joins the 'Targeting AI' podcast to explain the need for humans in recruiting along with tech to help prevent algorithmic bias and why some laws don't go far enough.
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A challenge: Guiding generative AI toward responsible use
Transparency, explainability and lack of bias are principles for building generative AI systems that work according to ethical rules and are fair for everyone.
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2024 will see generative AI mature
Next year, enterprises will likely be inundated with more capabilities and applications for GenAI. The year will lead to smaller models and regulation in more countries.
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AI-assisted driving here long before autonomous vehicles
An AI-powered driver assist platform from Nauto helps fleet drivers deliver their goods safely. Using voice commands, the system acts as a real-time coach.
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Diving into Wayfair's machine learning odyssey
From starting with using the technology to determine the best marketing mediums to using GenAI tools internally, the online retail giant's AI experience has evolved.
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Tech industry reaction to Biden's AI executive order mixed
While it's the first extensive statement from the U.S. government on governing and promoting AI, it falls short of providing actionable steps to vendors.
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Venture capital firm seeks to help launch early AI startups
Glasswing Ventures prides itself as being a founder-first company, as it works with startups to help find customers, recruit talent and guide future investments.
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CX and generative AI coexisting, carefully
Tech journalist Don Fluckinger talks to the Targeting AI podcast team about generative AI's potential for better customer service and how the technology falls short.
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Global hiring tech vendor Oyster treads carefully with AI
The HR tech vendor, which serves companies looking to hire employees globally as part of the distributed workforce, is taking a cautious approach to AI, especially generative AI.
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The readiness of AI and LLM technology
Generative AI technology has already disrupted how enterprises work. While many companies are uneasy with the fast-evolving technology, that's expected to change.
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AI, data and turtles all the way down
Nemertes Research CEO and analyst Johna Till Johnson discusses a persistent problem that enterprises often experience as they use new AI technology to address certain problems.
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AI good and evil as portrayed in the movies, and reality
The classic '2001: A Space Odyssey' paints HAL the computer as evil, but Meryl Streep's helpful assistant in 'The Devil Wears Prada' might be closer to how AI behaves in real life.
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Targeting AI: Tesla undervalues self-driving safety tech
The top electric car maker comes under heavy criticism for not investing in multiple sensors for its full self-driving system to improve driver and pedestrian safety.
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Targeting AI: Responsible AI means regulation, ethical use
AI users should adhere to ethical standards, particularly in regard to generative AI chatbots, but the promise of the latest tech is too great to not embrace.
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Why AI adoption in the enterprise continues to lag
In this episode of 'Today I Learned About Data,' we discuss AI adoption in the enterprise, and it's been slower than many have predicted.
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AI council examines emerging trends in AI
Experts on the Illinois Technology Association's AI Council urge companies to use their AI investments to connect with community members to make the best use of the technology.
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Machine learning applications: From lab to enterprise
The process from lab idea to enterprise reality may challenge machine learning applications. Learn how implementers are navigating the journey to practical use.
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Computer vision technology helps Trulia link buyers to homes
In this podcast, Trulia's vice president of engineering discusses the importance of computer vision applications to the website's overall goal of helping buyers find homes.
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Avoid bias in algorithms for best AI results
In this podcast, we examine leading thoughts on the problem of AI bias and how to mitigate some of the most common sources of unfair treatment of users of AI applications.
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CTO Simon Crosby explains edge intelligence, talks AI uses and risks
Edge intelligence is the newborn child of edge analytics and machine learning. In this podcast, CTO Simon Crosby explains the tech and discusses AI uses, data breaches and more.
