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The Top 7 AI Podcasts You Need To Hear Now

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The Top 7 AI Podcasts You Need To Hear Now


With artificial intelligence now being used to write everything from college homework to Congressional speeches, it’s more important than ever to stay on top of the latest advances in machine learning, natural language processing, and all things AI. 

We’ve brought together a list of seven of the top podcasts that track and explain the newest developments. They look behind the scenes at the technology behind the platforms, and they discuss how artificial intelligence is already upending business, marketing, data analysis, and more.

The TWIML AI Podcast 

The TWIML AI Podcast used to be known as This Week in Machine Learning & Artificial Intelligence. The new name is shorter and snappier, but the content is just as deep and complex. Hosted by Sam Charrington, the podcast has produced more than 630 weekly episodes featuring interviews with a host of guests — usually technicians and scientists—working in the field of AI. The subjects of the discussions are often fairly complex. If you want to understand the human thinking behind artificial thinking, the show is essential listening.

 The Bad AI Show 

If interviews with Stanford professors aren’t your thing, try the Bad AI Show. Hosted by Joel Comm and Travis Wright of the Bad Crypto Podcast. The pair take a fun, laidback approach to new technology, explaining clearly — and wittily — the latest developments in artificial intelligence and its practical effects. Think of the TWIML AI podcast as a Stanford lecture and the Bad AI Show as the lounge next door. It’s a fun, relaxed chat with smart people about AI topics that get everyone thinking. The show is released as both an audio and video version.

The AI Podcast

One of the biggest challenges that a discussion of AI generates is how the new technology will be applied in the real world. Noah Kravitz’s The AI Podcast has already generated almost 200 answers. Each episode features an interview with experts using artificial intelligence to further their work. They’ve included a wildlife biologist tracking endangered rhinos, an astrophysicist analyzing starlight, and language learners grappling with Arabic pronunciation and even the delivery of sports highlights. 

Data Skeptic

As you listen to those interviews with people applying AI to such a broad range of fields, it’s worth asking about the effectiveness of AI in solving those problems and whether they couldn’t be solved in an easier way. Claims for the benefits of artificial intelligence will grow, so make sure you’re also listening to Kyle Polich’s Data Skeptic. The podcast has already produced more than 470 episodes with interviews that take down the hype and take a realistic view of what AI can and can’t do.

 

The AI in Business Podcast 

One area where both the hype and the expectation will be highest is in business applications of artificial intelligence. Each week, on the AI in Business Podcast, Daniel Faggella, the CEO of Emerj Artificial Intelligence Research, interviews AI executives from leading firms and startups to explore how business is adapting AI and exploring the opportunities the new technology offers.

 

 

The Marketing AI Show

Business is a broad topic. The Marketing AI Show tries to narrow things down with a focus specifically on the way marketers are using artificial intelligence to improve sales. The podcast is created by the Marketing AI Institute and the Marketing AI Conference (MAICON), and it’s essential listening for anyone wondering how the new technology can help their business identify leads and improve conversions.

 

 

Eye on AI

Finally, Eye on A.I. takes a broader, more journalistic approach to the developments of artificial intelligence. Out every two weeks and hosted by New York Times correspondent Craig S. Smith, each episode features an interview with a leader pushing AI into new ground. Episodes have discussed AI in supply chain optimization and finance but they’ve also delved behind the scenes to look at issues surrounding privacy and the future of AI itself.

 

Featured Image Credit: Photo by Jean Balzan; Pexels; Thank you!

Brad Anderson

Editor In Chief at ReadWrite

Brad is the editor overseeing contributed content at ReadWrite.com. He previously worked as an editor at PayPal and Crunchbase. You can reach him at brad at readwrite.com.

Politics

Fintech Kennek raises $12.5M seed round to digitize lending

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London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 tech.eu report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from Kennek.io; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

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Fortune 500’s race for generative AI breakthroughs

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Deanna Ritchie


As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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UK seizes web3 opportunity simplifying crypto regulations

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Deanna Ritchie


As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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