Join <a href="https://www.linkedin.com/in/jerry-cuomo/" rel="noopener noreferrer" target="_blank">Jerry Cuomo</a> and guest host <a href="https://www.linkedin.com/in/riccardoforlenza/" rel="noopener noreferrer" target="_blank">Riccardo Forlenza </a>in a riveting discussion with <a href="https://www.linkedin.com/in/murlibuluswar/" rel="noopener noreferrer" target="_blank">Murli Buluswar </a>from Citigroup on 'Outside In: A Financial Industry Perspective'. This episode offers an in-depth exploration of generative AI's role in transforming industries, particularly financial services. Listen as they discuss the historical evolution of AI, its current and future impact on policy and business strategy, and the importance of balancing technological advances with ethical considerations. Murli provides unique insights into how AI is reshaping decision-making processes, emphasizing the need for governance, transparency, and human-centric approaches. A must-listen for professionals navigating the ever-evolving landscape of AI in business. Key Takeaways: [00:00:17 - 00:01:36] Intro to "Outside in" series; 	Today featuring Riccardo and Murli. [00:01:49 - 00:03:24] Gen AI Evolution Discussion on the evolution and impact of generative AI, emphasizing its societal significance. [00:03:25 - 00:06:57] AI Policy and Implications Exploration of policy challenges and the need for effective governance in the era of AI. [00:07:52 - 00:10:08] AI Ethics and Efficiency Balancing cost savings with ethical considerations in AI deployment and innovation. [00:19:21 - 00:22:05] AI's Future Impact Speculation on the future role of AI in work and societal changes, with a focus on adapting to and managing biases. <a href="https://www.ibm.com/watsonx " rel="noopener noreferrer" target="_blank">Explore more about AI Governance</a><pre class="ql-syntax" spellcheck="false">* Coverart was created with the assistance of DALL·E 2 by OpenAI.
** Music for the podcast created by Mind The Gap Band - Cox, Cuomo, Haberkorn, Martin, Mosakowski, and Rodriguez
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Murli is known to take analytics and data beyond the numbers to influence business strategy, drive innovation, and champion value creation. He is expert in balancing analytical rigor and pragmatism with the power of the human collective to influence the development of business strategies that drive material outcomes.

Murli Buluswar

Chief Revenue, Growth, Customer Officer 

Highly energetic leader with over 25 years at the intersection of information technology and financial services. Riccardo is focused on integrating IBM's arsenal of capabilities into clear client value, accelerating client growth and creating competitive differentiation. HIs diverse experience extends across several continents, including North America, Europe, Asia and Australia. 


Riccardo Forlenza

Global Managing Director, Financial Services

Discover the intricate world of generative AI in the financial sector with 'Outside In: A Financial Industry Perspective,' the latest episode of The Art of AI podcast. Jerry Cuomo is joined by guest host Riccardo Forlenza and industry expert Murli Buluswar from Citigroup, explores the transformative impact of AI in business. They explore the evolution of generative AI, its policy implications, and its role in reshaping industries like banking. This insightful episode addresses the balance between cost efficiency, ethical AI deployment, and the crucial role of human judgment in the age of autonomous technologies. Tune in for a comprehensive look at how generative AI is shaping our future, both in the workplace and in broader societal contexts.


Outside In: A Financial Industry Perspective

Art of AI for Business - An Industry Perspective on AI

Join Jerry Cuomo, Riccardo Forlenza, and Murli Buluswar as they explore the transformative effects of generative AI in the financial sector. They discuss the evolution, policy implications, and ethical considerations of AI technology. Learn how AI is reshaping industries and what it means for the future of work. Tune in for insightful discussions on balancing technology and human intelligence in the modern world. #ArtOfAIPodcast #BusinessAI #GenerativeAI #FutureOfWork"


Connect with Us

IBM Consulting

Buy the Book

Join <a href="https://www.linkedin.com/in/jerry-cuomo/" rel="noopener noreferrer" target="_blank">Jerry Cuomo</a>, IBM Fellow and VP of Technology, as he takes you on a captivating exploration into the world of trustworthy AI for business. In "The Art of A.I for Business." podcast, Jerry, along with renowned industry experts, unravels the seamless integration of artificial intelligence into modern enterprises.Discover how AI goes beyond being a standalone technology, becoming a vital partner in creating a hybrid workforce that enhances human capabilities and revolutionizes the way we work. This podcast showcases how AI empowers individuals, enabling them to become "superhumans" with more time to focus on their passions and creativity.With a sprinkle of Automation, this show blends artistry and technology, offering thought-provoking insights and engaging discussions. Each episode features top-notch guests who are driving the AI revolution and provides expert perspectives on the limitless possibilities of trustworthy AI for business.Subscribe now to "The Art of A.I. for Business" and join Jerry Cuomo and his guests as they explore the cutting-edge innovations shaping the future. Be part of the journey into the exciting world of AI, where creativity and technology converge to create a brighter tomorrow.See you on the AI-side!

The Art of A.I. for Business

In this episode host <a href="https://www.linkedin.com/in/jerry-cuomo/" rel="noopener noreferrer" target="_blank">Jerry Cuomo</a> introduces <a href="https://www.linkedin.com/in/crivetimihai/" rel="noopener noreferrer" target="_blank">Mihai Criveti</a> as the teammate he turns to first with any AI-related questions. Together, they tackle the complex issue of hallucinations in Large Language Models (LLMs). Mihai clarifies why these models can sometimes produce misleading or incorrect outputs and offers practical solutions like <a href="https://www.promptingguide.ai/techniques/fewshot" rel="noopener noreferrer" target="_blank">few-shot prompting </a>and <a href="https://research.ibm.com/blog/retrieval-augmented-generation-RAG" rel="noopener noreferrer" target="_blank">Retrieval Augmented Generation (RAG)</a>. If you're a business leader interested in implementing AI or simply curious about its limitations, this episode is a must-listen. Gain valuable insights from two experts as they discuss how to use these models more responsibly and effectively.For a deeper understanding of the topics discussed in this episode, we highly recommend reading Mihai Criveti's article, "<a href="https://medium.com/@crivetimihai/understand-genai-large-language-model-limitations-and-how-retrieval-augmented-generation-can-help-d019e394eeb7" rel="noopener noreferrer" target="_blank">Understanding GenAI Large Language Model Limitations, and How Retrieval Augmented Generation Can Help</a>," available on Medium. Key Takeaways:<ul><li>[00:32&nbsp;-&nbsp;01:06] Intro</li><li>[01:54&nbsp;-&nbsp;04:10] LLMs and their limitations</li><li>[04:32&nbsp;-&nbsp;07:31] What is meant by hallucination</li><li>[07:39&nbsp;-&nbsp;10:28] How to mitigate hallucinations</li></ul> <pre class="ql-syntax" spellcheck="false">* Coverart was created with the assistance of DALL·E 2 by OpenAI.
** Music for the podcast created by Mind The Gap Band - Cox, Cuomo, Haberkorn, Martin, Mosakowski, and Rodriguez
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Mihai is the Senior Technical Staff Member and Principal Architect for the Platform Services and IBM Technology Solutions team. Mihai leads the Red Hat OpenShift Technology Council for the IBM Open Innovation Community, and develops AI Solutions for IBM Consulting - where he leads development of Retrieval Augmented Generation using watsonx.

Mihai Criveti 

AI Expert

Delve into the world of AI and its challenges with host Jerry Cuomo as he engages in a thought-provoking conversation with Mihai Criveti, a leading expert in the field. Explore the limitations of large language models (LLMs) and the phenomenon of hallucinations in AI. Mihai shares valuable insights on the misconceptions surrounding LLM capabilities and discusses the crucial role of clear prompts and contextual understanding in mitigating hallucinations. Discover innovative approaches, including prompt engineering and retrieval augmented generation, that promise to enhance the reliability of AI responses. Uncover the power of vector databases in refining search capabilities and reducing hallucination occurrences. Don't miss this enlightening episode that offers practical solutions and a deeper understanding of the evolving landscape of trustworthy AI. Access Mihai's paper and additional resources in the podcast description for a comprehensive exploration of this fascinating topic.


Hallucinations

The Art of AI for Business: Addressing Hallucinations in Large Language Models with Jerry Cuomo & Mihai Criveti

In this episode of The Art of AI podcast, host <a href="https://en.wikipedia.org/wiki/Jerry_Cuomo" rel="noopener noreferrer" target="_blank">Jerry Cuomo</a> welcomes <a href="https://en.wikipedia.org/wiki/Rama_Akkiraju" rel="noopener noreferrer" target="_blank">Rama Akkiraju</a>, VP for Enterprise AI and Automation at <a href="https://www.nvidia.com/en-us/" rel="noopener noreferrer" target="_blank">NVIDIA</a> and former IBM Fellow. Rama, who has been recognized by <a href="https://www.forbes.com/sites/mariyayao/2017/05/18/meet-20-incredible-women-advancing-a-i-research/?sh=17d4536f26f9" rel="noopener noreferrer" target="_blank">Forbes as one of the leading women in AI research</a>, talks about the significant changes she has witnessed in AI technology, especially its application in enterprise settings.Jerry and Rama discuss how tasks that once required months of work and expert data scientists can now be accomplished in significantly less time. They cover the role of generative AI in transforming various enterprise functions, including customer support, IT, and HR. The conversation also touches on the essential relationship between hardware and software in AI development, specifically the role of accelerated computing and GPUs. Whether you're an AI practitioner or simply interested in the transformative potential of AI in enterprise, this episode offers valuable insights. Jerry and Rama explore real-world applications and also discuss the future, considering what advancements in multi-model AI could mean for various industries. Key Takeaways:<ul><li>[00:41&nbsp;-&nbsp;01:04] Rama Intro</li><li>[02:38&nbsp;-&nbsp;03:09] Rama's Role at NVIDIA</li><li>[04:24&nbsp;-&nbsp;04:59] GPUs</li><li>[08:23&nbsp;-&nbsp;08:53] I was into AI before it was cool.</li><li>[09:51&nbsp;-&nbsp;10:29] Thoughts on Future of AI</li></ul> References:<ul><li>A Fireside Chat with Rama Akkiraju, Vice President for AI/Machine Learning for IT at Nvidia. NYU Stern School of Business. <a href="https://www.youtube.com/watch?v=_1dM64QLn3k" rel="noopener noreferrer" target="_blank">Watch Video</a></li><li>The “Art of AI” article series by Jerry Cuomo on Medium.com. <a href="https://medium.com/@JerryCuomo" rel="noopener noreferrer" target="_blank">Read Articles</a></li></ul><pre class="ql-syntax" spellcheck="false">* Coverart was created with the assistance of DALL·E 2 by OpenAI.
** Music for the podcast created by Mind The Gap Band - Cox, Cuomo, Haberkorn, Martin, Mosakowski, and Rodriguez
</pre>

Rama Akkiraju is a vice president of AI for IT at NVIDIA. Prior to this, Rama held various leadership roles at IBM in her two decades-plus career. Most recently, Rama was an IBM Fellow, Master Inventor, and an IBM Academy Member at IBM, where she was the CTO of IBM Watson AI Operations product, a product to optimize IT operations management with AI

Rama Akkiraju

VP Enterprise AI & Automation, NVIDIA

Join host Jerry Cuomo in a captivating conversation with Rama Akkiraju, NVIDIA's VP for Enterprise AI and Automation, as they delve into the dynamic world of artificial intelligence. Explore the transformative power of generative AI, accelerated compute, and the seamless integration of hardware and software at NVIDIA. Discover the wide spectrum of use cases, from virtual assistants in customer support to code assistance in engineering, as Rama shares insights on the evolving landscape of AI in the enterprise. Gain valuable perspectives on fine-tuning models, the role of data scientists and prompt engineers, and the exciting future of multi-modal AI experiences. Don't miss this engaging episode that explores the art, science, and endless possibilities of AI in today's rapidly advancing technological era.


Enterprise AI

The Art of AI Podcast: Enterprise AI Evolution with Rama Akkiraju of NVIDIA

Host Jerry Cuomo host an exciting behind the scenes look at how advanced AI technology is transforming how orders are taken at drive thru restaurants. "I make computers speak" is the calling card of guest <a href="https://www.linkedin.com/in/brianlangner/" rel="noopener noreferrer" target="_blank">Brian Langner</a>. Brian and Jerry discuss the challenges and rewards associated with conversational AI. Brian adds to his calling card, "however, the harder part is getting them to listen."Brian, who currently leads AI Research and Projects for <a href="https://www.theregister.com/2022/05/30/ibm/" rel="noopener noreferrer" target="_blank">Watson Orders,</a> highlights his journey from university studies in AI, to Silicon Valley startup ToyTalk, then being acquired by McDonald's, and now at IBM with their acquisition of McD Tech Labs.Brian and the Watson Orders team are developing and testing Automated Order Taking (AOT) technology in restaurants showing substantial benefits to customers and the restaurant crew experience. Brian further explains how AI and natural language processing will help scale the AOT technology across markets and tackle integrations including additional languages, dialects and menu variations. Key Takeaways:<ul><li>[ 02:47&nbsp;-&nbsp;04:02] Balancing Computer Voices: Brian Langner discusses the challenge of creating computer voices that are friendly and approachable while still maintaining a distinct non-human quality, ensuring effective interactions without entering the "uncanny valley."</li><li>[05:00&nbsp;-&nbsp;08:11] Automating Drive-Thru Orders: Automating order taking at drive-thrus involves overcoming challenges like deciphering noisy environments, understanding customer ramblings, and handling diverse acoustic conditions, all while striving for accuracy.</li><li>[08:20&nbsp;-&nbsp;10:21] Speech Recognition Improvements: Brian's team aims for over 75% accuracy in automating orders. Advances in speech recognition accuracy and robustness play a pivotal role in achieving this goal and enhancing the customer experience.</li><li>[10:30&nbsp;-&nbsp;12:07] Goal-Directed Interactions: The conversation explores the potential of speech and conversation technology in various industries beyond drive-throughs, highlighting the importance of goal-directed interactions to drive AI integration and innovation.</li><li>[13:21&nbsp;-&nbsp;14:16] Future of AI Integration: AI and conversation technology are at an inflection point, poised for accelerated integration into real-world applications. As businesses recognize the value of goal-directed AI interactions, the technology's role is set to expand in diverse sectors.</li></ul> Join the episode to gain insights into the intricate world of AI's impact on complex interactions, the challenges of automation, and the potential it holds for transforming industries and customer experiences. References:<a href="https://medium.com/@JerryCuomo" rel="noopener noreferrer" target="_blank">The Art of A.I. article series by Jerry Cuomo on medium.com</a><a href="https://www.engadget.com/mcdonalds-ibm-ai-food-orders-131806578.html" rel="noopener noreferrer" target="_blank">McDonald's and IBM could bring AI-powered drive-thrus to more restaurants</a><a href="https://www.ibm.com/watsonx" rel="noopener noreferrer" target="_blank">Watsonx platform</a> <pre class="ql-syntax" spellcheck="false">* Coverart was created with the assistance of DALL·E 2 by OpenAI.
** Music for the podcast created by Mind The Gap Band - Cox, Cuomo, Haberkorn, Martin, Mosakowski, and Rodriguez
</pre>

"I make computers talk"

I have worked in the field of Conversational AI, both academically and with practical industry experience, for over 20 years. My graduate work includes published research in Spoken Dialog Systems, Speech Synthesis, and Natural Language Generation, as well as experience building and deploying these technologies. I have also spent more than a decade building commercially-available Conversational Agents and conversation-based experiences, and developing the tools and platforms to enable others to create them as well.

Brian Langner

AI Engineering Leader

Dive into the world of AI with Jerry Cuomo and special guest Brian Langner in this episode of "The Art of AI" podcast. Explore the transformative impact of AI on drive-through experiences, unraveling the challenges of decoding orders amid noise. Brian, a leading expert in AI and natural language processing, sheds light on the breakthroughs and advancements in the intersection of technology and industry. Discover how Watson Orders, under Brian's leadership, is shaping the future of business automation, leveraging speech technology and AI to enhance everyday processes. Don't miss this insightful conversation that delves into the dynamic realms of AI, IT automation, and the evolving landscape of machine learning.


Drive Thru AI

The Art of AI for Busienss Season 4 - Episode 2: Drive-Through Order Taking with AI

Welcome to the inaugural episode of the rebranded "Art of Automation" podcast, now titled "The Art of AI." Join your host, Jerry Cuomo, IBM Fellow and VP for Technology, and guest Dr. Ruchir Puri, IBM Fellow and Chief Scientist at IBM Research, as they explore the fundamental theme of this series: "Trustworthy AI for Business." Listen in as they discuss the importance of data governance, responsible AI practices, and transparent model training to ensure that AI systems earn trust and deliver reliability in the business landscape.In this episode, Ruchir's analogy of a blender illustrates "Un-Trustworthy AI." Just as a blender turns ingredients into an unrecognizable smoothie, AI can consume data without retaining its origin. To ensure trust, proper data governance and attribution are vital. AI models should provide clear sources for their recommendations, fostering credibility and informed decision-making. Trustworthy AI combines responsible practices and transparency, empowering users to harness its potential with confidence.Ruchir introduces IBM's pioneering watsonx platform as a data and AI platform that’s built for business. He explains that enterprises turning to AI today need access to a full technology stack that enables them to train, tune and deploy AI models, including foundation models and machine learning capabilities, across their organization with trusted data, speed, and governance - all in one place and to run across any cloud environment. The conversation explores the challenge of reducing AI model "hallucinations," where systems generate incorrect information with unwarranted confidence. The hosts discuss ongoing research efforts to address this issue and elevate the overall accuracy of AI outputs.This episode sets the stage for a thought-provoking series that explores AI's transformative potential for businesses while highlighting the significance of ethics and trust in shaping the AI-driven future. Key Takeaways:<ul><li>[03:42&nbsp;-&nbsp;06:37] What it means for AI to be trustworthy</li><li>[11:13&nbsp;-&nbsp;15:15] The IBM WatsonX Platform</li><li>[15:25&nbsp;-&nbsp;18:15] Addressing AI Model hallucinations</li></ul> References:•	<a href="https://composable-models.github.io/llm_debate/" rel="noopener noreferrer" target="_blank">Improving Factuality and Reasoning in Language Models through Multiagent Debate</a>•	<a href="https://www.ibm.com/watsonx" rel="noopener noreferrer" target="_blank">Watsonx platform</a>•	<a href="https://www.youtube.com/watch?v=FrDnPTPgEmk" rel="noopener noreferrer" target="_blank">Watsonx; Generative AI for business by Dario Gil, THINK 2023 </a> <pre class="ql-syntax" spellcheck="false">* Coverart was created with the assistance of DALL·E 2 by OpenAI.
** Music for the podcast created by Mind The Gap Band - Cox, Cuomo, Haberkorn, Martin, Mosakowski, and Rodriguez
</pre>

Dr. Ruchir Puri is the Chief Scientist of IBM Research, an IBM Fellow, and Vice-President of IBM Corporate Technology. He led IBM Watson as its CTO and Chief Architect from 2016-19 and has held various technical, research, and engineering leadership roles across IBM’s AI and Research businesses.

Dr. Ruchir Puri

IBM Fellow

Welcome to "The Art of AI," a podcast on trustworthy AI for business. In this episode, we dive into the reboot of the Art of Automation, now called the Art of AI, exploring the transformative impact of AI paired with human collaboration. Jerry Cuomo, IBM Fellow, and VP for Technology at IBM, interviews Ruchir Puri, Chief Scientist at IBM Research, discussing the Netscape moment of AI accessibility and the challenges of trustworthy AI for businesses. Ruchir shares insights on Watsonx, IBM's foray into foundation models, and emphasizes the importance of data governance, attribution, and customization for building trustworthy AI. Join us for a deep dive into the evolving landscape of AI and its practical applications.


Trustworthy A.I.

In this bonus episode, guest host <a href="https://huggingface.co/docs/transformers/main/model_doc/llama2" rel="noopener noreferrer" target="_blank">Llama2</a>, a Large Language Model, welcomes <a href="https://www.langchain.com/" rel="noopener noreferrer" target="_blank">LangChain</a>, an innovative framework engineered to elevate the capabilities of language models. The conversation aims to highlight the value LangChain brings to LLM-based applications by acting as a bridge between LLMs and fresh, real-time data sources. Whether it's providing up-to-date stock information for a financial advisory chatbot or tailoring fashion advice based on current weather conditions, LangChain's functionalities are designed to empower applications with contextual awareness and relevant responses.LangChain explains its unique approach to data retrieval, cleaning, and summarization, along with its seamless integration with LLMs for generating context-rich, human-like responses. The episode also explores how LangChain uses elements like 'Links' and 'Chains' to create efficient workflows, making it a versatile tool for developers. Lama2 and LangChain delve into the endless possibilities that arise when combining the expertise of LLMs with real-time data, opening the doors to smarter, more contextually aware applications.Tune in to explore how LangChain and LLMs like Llama2 are pushing the boundaries to make chatbots and other applications not just smarter, but incredibly useful.References:<a href="https://www.geeksforgeeks.org/introduction-to-langchain/" rel="noopener noreferrer" target="_blank">Introduction to LangChain - Tutorial on GeeksforGeeks.com</a><a href="https://www.baseten.co/blog/build-a-chatbot-with-llama-2-and-langchain/" rel="noopener noreferrer" target="_blank">Build a chatbot with Llama 2 and LangChain</a><pre class="ql-syntax" spellcheck="false">* Coverart was created with the assistance of DALL·E 2 by OpenAI.
** Music for the podcast created by Mind The Gap Band - Cox, Cuomo, Haberkorn, Martin, Mosakowski, and Rodriguez
</pre>

Llama 2 is Meta's open source large language model (LLM). It's basically the Facebook parent company's response to OpenAI's GPT models and Google's AI models like PaLM 2—but with one key difference: it's freely available for almost anyone to use for research and commercial purposes. 

Llama 2

A Large Language Model

LangChain is an open source framework that lets software developers working with artificial intelligence (AI) and its machine learning subset combine large language models with other external components to develop LLM-powered applications. The goal of LangChain is to link powerful LLMs, such as OpenAI's GPT-3.5 and GPT-4, to an array of external data sources to create and reap the benefits of natural language processing (NLP) applications.

LangChain

Open-source AI framework

Discover the potential of LangChain in the latest episode of The Art of AI. Guest host Lama2 and LangChain discuss how the framework empowers LLM-based applications with real-time, context-aware data, making chatbots and other applications smarter and more useful. Don't miss this insightful conversation!


Llama2 Inverviews LangChain

The Art of AI: Elevating LLM-Based Applications with LangChain

In this bonus episode, host <a href="https://www.linkedin.com/in/jerry-cuomo/" rel="noopener noreferrer" target="_blank">Jerry Cuomo </a>explores the intriguing concept of "Training AI to Forget." Joined by 'guest' Dr. Eva Rosenberg, a fictional memory psychologist portrayed using voice synthesis tech, they discuss the intersection of neuroscience, ethics, and computer science in AI. Jerry shares insights from his <a href="https://medium.com/@JerryCuomo/training-ai-to-forget-the-next-frontier-in-trustworthy-ai-1088ada924de" rel="noopener noreferrer" target="_blank">recent article</a> and introduces "The Neuralyzer," a <a href="https://github.com/JerryCuomo/ArtofAI" rel="noopener noreferrer" target="_blank">code experiment </a>that enables AI systems to forget specific terms or data, aligning with governance and ethical considerations like GDPR. In a surprising twist, Jerry reveals that the role of Dr. Eva Rosenberg was performed by him using technology from <a href="https://www.respeecher.com/" rel="noopener noreferrer" target="_blank">Respeecher</a>, an AI startup known for voice synthesis. The episode explores how Respeecher responsibly navigates the ethical landscape of synthetic voices. This episode serves as a thought-provoking journey into the future of trustworthy AI, examining both the technological and ethical dimensions. Listen now to get inspired and educated about the next frontier in AI governance. Key Takeaways:<ul><li>[00:31&nbsp;-&nbsp;00:47] Intro Dr. Eva Rosenberg</li><li>[01:17&nbsp;-&nbsp;01:28] Forgetting is a feature</li><li>[02:45&nbsp;-&nbsp;03:24] The Neuralyzer</li><li>[04:03&nbsp;-&nbsp;04:17] Ongoing Research</li><li>[05:11&nbsp;-&nbsp;05:42] I'm Eva</li><li>[05:43&nbsp;-&nbsp;06:04] Respeecher</li><li>[06:24&nbsp;-&nbsp;06:34] Simulation</li><li>[07:03&nbsp;-&nbsp;07:19] Ethical use of synthetic voice</li></ul> References:<a href="https://medium.com/@JerryCuomo/training-ai-to-forget-the-next-frontier-in-trustworthy-ai-1088ada924de" rel="noopener noreferrer" target="_blank">Art of AI Article Series - Training AI to Forget: The Next Frontier in Trustworthy AI</a><a href="https://github.com/JerryCuomo/ArtofAI" rel="noopener noreferrer" target="_blank">Art of AI Github Repo (neuralizer.py) source code</a> <a href="https://ieeexplore.ieee.org/document/7163042?arnumber=7163042&amp;tag=1" rel="noopener noreferrer" target="_blank">Towards Making Systems Forget with Machine Unlearning</a><a href="https://arxiv.org/abs/1912.03817" rel="noopener noreferrer" target="_blank">Machine Unlearning</a><a href="https://arxiv.org/abs/1911.04933" rel="noopener noreferrer" target="_blank">Selective Forgetting in Deep Networks</a><a href="https://arxiv.org/abs/2106.04378" rel="noopener noreferrer" target="_blank">Adaptive Machine Unlearning</a> <a href="https://en.wikipedia.org/wiki/Respeecher" rel="noopener noreferrer" target="_blank">Respeecher - wikipedia</a><a href="https://www.respeecher.com/" rel="noopener noreferrer" target="_blank">Respeecher - website</a> <pre class="ql-syntax" spellcheck="false">* Coverart was created with the assistance of DALL·E 2 by OpenAI.
** Music for the podcast created by Mind The Gap Band - Cox, Cuomo, Haberkorn, Martin, Mosakowski, and Rodriguez
</pre>

Explore the ethics and technology behind making AI systems 'forget' in the latest episode of 'The Art of AI for Business' with host Jerry Cuomo. Featuring a special appearance by 'Dr. Eva Rosenberg,' exploring AI governance, GDPR, and ethical voice synthesis with Respeecher. Discover the next frontier in trustworthy AI.


Recent Episodes

SEASON 4

Hallucinations

Enterprise AI

Drive Thru AI

Trustworthy A.I.

Llama2 Inverviews LangChain

Teaching AI to Forget

About The Show

The Art of A.I. for Business

Jerry Cuomo

IBM Fellow, VP Technology - https://www.linkedin.com/in/jerry-cuomo/