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What AI Means for Us

What AI Means for Us

Chris Coyne

Welcome to What AI Means for Us, by NeuralRec.ai What AI Means for Us is all about deep diving into technical machine learning topics and showing its real-world impact, bridging the gap between AI-first companies and adoption. We chat with subject matter experts across reinforcement learning, recommender systems, deep learning and generative AI. As well as chatting with business leaders, VCs, operations and strategy experts. You can also check out our blog here: https://neuralrec.ai/blog/ Who are NeuralRec.ai? NeuralRec are recruitment staffing agency, we build niche ML teams and represent some of the globe's best ML talent. For general or sponsorship enquiries, you can drop us a message here: https://neuralrec.ai/contact-us/
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Top 10 What AI Means for Us Episodes

Goodpods has curated a list of the 10 best What AI Means for Us episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to What AI Means for Us for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite What AI Means for Us episode by adding your comments to the episode page.

Join Chris as he welcomes Erik Schwartz in an in-depth conversation covering the fast-paced world of AI.

Eric shares his extensive career journey, providing insights from his early days in information retrieval to his current role as Chief AI Officer.

The discussion spans various topics, including the challenges of keeping up with rapid technological changes, the impact of AI on business operations, DeekSeek, the Paris AI Summit, the emergence of agentic AI, and the future of AI in personal and enterprise applications. Erik also delves into the similarities between the current AI boom and the dotcom era, and offers valuable advice for companies looking to align AI to business strategy.

00:00 Introduction and Welcoming Eric Schwartz
00:27 The Rapid Pace of AI Development
02:28 Eric's Career Journey and Early Tech Experiences
05:20 Building Digital Libraries and Information Retrieval
06:33 The Evolution of AI and Large Language Models
08:40 The Role of AI in Business and Market Trends
14:13 Defining AI Agents and Their Capabilities
18:06 Adoption of AI in Businesses and Strategic Planning
26:04 The Role of a Chief AI Officer
36:12 Automating Content Review
36:57 Measuring ROI and Success
38:15 Improving Operational Efficiency
40:18 Product Market Fit for Startups
43:26 Impact of AI on SEO and Search
46:17 Enterprise Search Solutions
48:57 Future of AI and Distributed Technologies
55:32 Exciting Developments in AI
01:05:34 Closing Thoughts and Community Engagement

Don't miss this thought-provoking episode as they explore the intricacies of AI adoption, ethics, and the future landscape of search and recommender systems.

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What AI Means for Us - Gilbert Cassar - AI and Energy

Gilbert Cassar - AI and Energy

What AI Means for Us

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07/31/24 • 35 min

Curious about how Generative AI can transform the UK energy sector as we move towards net zero?

It was great to chat with Gilbert Cassar, Chief AI Scientist for Energy at Accenture, who discusses how Generative AI is bringing value and solving longstanding problems in the industry.

It's clear to see Gilbert's passion for the energy industry where AI is solving real-world problems and making a difference.

In this episode, you will discover:

✅How to scale AI beyond proof of concept and deliver value at scale
✅How AI can enable new low-carbon infrastructure and help consumers save energy
✅Why ethical considerations are essential when deploying AI
✅How to educate and engage stakeholders on the benefits of AI
✅What use cases of Generative AI are already making an impact in the energy sector
✅How to build teams with the right skills and future trends in AI
✅And more ...

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What AI Means for Us - Alexey Strygin - AI and Aging

Alexey Strygin - AI and Aging

What AI Means for Us

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07/31/24 • 73 min

We discuss all things Longevity AI with Alexey Strying, subject matter expert.

We also discuss how to transition your career to longevity where Alexey draws on his own experience to help others.

Speaking about Gero, Gerosense, the biotech industry and the importance of data.

At the end, Alexey also shares some 80/20 longevity tips that he applies today that can increase healthy life expectancy by 5-10 years.

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What AI Means for Us - Vidhi Chugh - Governance, Ethics and The Chief AI Officer.
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07/29/24 • 27 min

We had an insightful chat about the role of the Chief AI Officer in light of the recent White House announcements.

Vidhi shared her experience developing AI strategies in various organisations and the importance of starting with business objectives in mind.

Some topics we discussed:
✅ Vidhi's career and lessons learnt
✅ Examing business goals and using AI to achieve them
✅ The EU AI Act and its example of categorising AI risks and building governance frameworks
✅ Explainable AI is essential for users to understand how AI systems arrive at decisions
✅ Accountability is shared. From developers to CEOs, everyone has a role to play in ensuring AI is used ethically

Tune in for this insightful episode

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Exploring the Role and Impact of a Chief of Staff in AI Startups and fundraising with Mwenya.

In this episode, we join Chris as he chats with Mwenya, an accomplished Chief of Staff with a rich background in operations and strategy within UK startups.

Together, they delve into Mwenya's career journey, transitioning from liberal arts to consultancy and AI. Mwenya is a true champion for responsible AI development and its intersection with industries like social media. Discover insights on what has made her successful as Chief of Staff and when the right time to hire one is.

We also cover the intricacies of AI strategy, the challenges of responsible AI development and why it's vital to any start-up trying to succeed. Mwenya also shares valuable fundraising tips, specifically focused on supporting founders, emphasizing the importance of having a clear vision and understanding the market dynamics.

00:00 Introduction and Guest Welcome

00:45 Career Journey and Background

06:02 Role and Responsibilities of a Chief of Staff

14:00 AI Strategy and Responsible Development

35:42 Fundraising Insights and Challenges

49:51 Conclusion and Final Thoughts

Connect with Mwenya here: https://www.linkedin.com/in/mwenyakawesha/

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What AI Means for Us - Marco Del Tredici - Agentic AI, LLM Evals and Research
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01/27/25 • 55 min

In this episode, we chat with Marco, who is extremely passionate and accomplished in NLP research; with a diverse background from the University of Amsterdam to industry giants like Amazon and Cohere. Marco shares his unique transition from academia to industry, his work on fake news detection, and his contributions to advancements in Amazon Alexa's conversational abilities.

We dig into the future of Large Language Models (LLMs), the challenges with LLM evals, and the promise of AI agents in simplifying daily tasks. Marco also discusses the emerging research directions and the potential of AI agents becoming integral to our daily lives.

00:00 Introduction and Guest Welcome
01:01 Background and Research Journey
06:28 Transition from Academia to Industry
10:13 LLMs and Their Future
15:10 Evaluating LLMs
23:43 Interpretability and Explainability
28:50 Understanding AI Agents
37:26 Research and Future of AI Agents
52:14 Predictions and Closing Remarks

Connect with Marco: https://www.linkedin.com/in/marco-del-tredici-316a2984/

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In this episode, we sit down with Tetiana Torovets, Head of Data Science at QuintoAndar. Tetiana shares her journey from banking and consulting in FinTech to leading a team at ThredUP and now at QuintoAndar.

We explore the intricate challenges of creating recommender systems for marketplaces, the balance between classical machine learning and the latest neural networks, and the application of AI-driven search assistants.

Tune in for insights on metrics, experimentation, and the future of AI in property tech.

✅ Tetiana's Career Journey in Data Science
✅ Differences in Machine Learning Across Industries
✅ Challenges in Marketplace Recommendations
✅ Technical Insights and Multi-Objective Models
✅ Search Assistants and Future of Property Tech
✅ Leadership and Hiring in Machine Learning

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What AI Means for Us - Jan Krasnodebski - Recommender Systems, Pricing and Travel
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08/06/24 • 66 min

Have you ever wondered why and how certain holidays and flights are priced then recommended?

In this episode of What AI Means for Us by NeuralRec. Chris is joined by Jan Krasnodebski, recommender systems and pricing subject matter expert. With more than 13 years of experience at Expedia and a strong background in pricing and recommendations, Jan shares his expertise on several key topics:

✅The crucial role of pricing in business strategy and its impact on profitability.
✅Unique challenges are faced in pricing for various industries, including med tech and travel.
✅How generative AI is transforming pricing and recommendations, and its current limitations.
✅Multi-stakerholder recommendations, managing them effectively.
✅The integration of AI in booking platforms, enhancing personalization and user experience.
✅Handling ethical implications and ensuring fairness in AI models.
✅Skills and leadership qualities required for success in AI-focused roles.

Join us for a deep dive into the dynamic world of pricing and AI, and how these elements shape the modern travel industry.

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What AI Means for Us - Sumit Singh - Digital Twins, Simulation and AI
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07/31/24 • 49 min

It was great to be joined by Sumit Singh, a Digital Twin expert and champion of the field.

Sumit dives into the fascinating world of digital twins and their potential to transform industries and society.

In this episode, we explore:

✅What are digital twins? Learn about these virtual replicas and their data magic
✅Benefits for businesses and people.
✅How digital twins optimise systems and improve our world.
✅Challenges and steps organisations can take to harness the power
✅The future with digital twins.
✅Their role in simulation, the metaverse
✅The Digital Twin skills gap and how to address it

Intrigued? Tune in to the full episode and explore the cutting-edge of digital twin technology!

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What AI Means for Us - Rishabh Mehrotra - Exploring RecSys and Gen AI
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07/31/24 • 83 min

We enjoyed sitting down with Rishabh Mehrotra recently, discussing RecSys and LLM problems, specifically how they intersect.

Rishabh is an all-around great person, he is committed to driving forward the RecSys/Gen AI community with open-source knowledge.

Some of the topics we covered:

✅How RecSys and LLMs overlap, and why it’s important
✅Managing multistakeholder recommender systems
✅RecSys cold start problems
✅Building teams to win in RecSys and Gen AI
✅Ethical accountability

Stay tuned as we continue to connect with more thought leaders over the coming months!

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FAQ

How many episodes does What AI Means for Us have?

What AI Means for Us currently has 10 episodes available.

What topics does What AI Means for Us cover?

The podcast is about Deep Learning, Podcasts, Technology, Business and Machine Learning.

What is the most popular episode on What AI Means for Us?

The episode title 'Mwenya Kawesha - AI Fundraising, Responsible AI Development and The Impact of a Chief of Staff' is the most popular.

What is the average episode length on What AI Means for Us?

The average episode length on What AI Means for Us is 57 minutes.

How often are episodes of What AI Means for Us released?

Episodes of What AI Means for Us are typically released every 6 days.

When was the first episode of What AI Means for Us?

The first episode of What AI Means for Us was released on Jul 29, 2024.

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