Call them changemakers. Call them rule breakers. We call them Redefiners. And in this provocative podcast, we explore how daring leaders from across industries and around the globe are redefining their organizations—and themselves—to create extraordinary impact in today’s rapidly changing world. In each episode, Russell Reynolds Associates Leadership Advisor Hoda Tahoun and former CEO Clarke Murphy host engaging, purposeful conversations with leaders in and out of the business world who shar ...
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This Is Woman's Work with Nicole Kalil


1 How To Pitch Yourself (And Get A Yes) | 300 27:52
27:52
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אהבתי27:52
We made it— 300 episodes of This Is Woman’s Work ! And we’re marking this milestone by giving you something that could seriously change the game in your business or career: the skill of pitching yourself effectively. Whether you’re dreaming of being a podcast guest, landing a speaking gig, signing a client, or just asking for what you want with confidence—you’re already pitching yourself, every day. But are you doing it well? In this milestone episode, Nicole breaks down exactly how to pitch yourself to be a podcast guest … and actually hear “yes.” With hundreds of pitches landing in her inbox each month, she shares what makes a guest stand out (or get deleted), the biggest mistakes people make, and why podcast guesting is still one of the most powerful ways to grow your reach, authority, and influence. In This Episode, We Cover: ✅ Why we all need to pitch ourselves—and how to do it without feeling gross ✅ The step-by-step process for landing guest spots on podcasts (and more) ✅ A breakdown of the 3 podcast levels: Practice, Peer, and A-List—and how to approach each ✅ The must-haves of a successful podcast pitch (including real examples) ✅ How to craft a pitch that gets read, gets remembered, and gets results Whether you’re new to pitching or want to level up your game, this episode gives you the exact strategy Nicole and her team use to land guest spots on dozens of podcasts every year. Because your voice deserves to be heard. And the world needs what only you can bring. 🎁 Get the FREE Podcast Pitch Checklist + Additional Information on your Practice Group, Peer Group, and A-List Group Strategies: https://nicolekalil.com/podcast 📥 Download The Podcast Pitch Checklist Here Related Podcast Episodes: Shameless and Strategic: How to Brag About Yourself with Tiffany Houser | 298 How To Write & Publish A Book with Michelle Savage | 279 How To Land Your TED Talk and Skyrocket Your Personal Brand with Ashley Stahl | 250 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music…
AI Governance in Action: Lessons from the Trenches
Manage episode 446779055 series 3279398
תוכן מסופק על ידי Domino Data Lab. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Domino Data Lab או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
AI governance is no longer a hypothetical consideration—it's critical not only to meet regulatory requirements but also to build trust, drive adoption, and deliver tangible impact with AI. In this episode, we bring together experts Jared Vaudrey and Dr. Dylan Bobby Storey, who have spent years developing AI solutions in heavily regulated industries. They share their hard-won insights on the realities of implementing AI governance across a wide range of organizations and use cases.
Join us as we discuss:
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Join us as we discuss:
- The value of AI governance for driving adoption and innovation
- How governance principles apply to traditional ML and genAI
- The common challenges of governance
- Real-world examples and best practices from advanced teams integrating AI governance
- How automation helps scale governance and provide the flexibility to support future regulation
96 פרקים
Manage episode 446779055 series 3279398
תוכן מסופק על ידי Domino Data Lab. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Domino Data Lab או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
AI governance is no longer a hypothetical consideration—it's critical not only to meet regulatory requirements but also to build trust, drive adoption, and deliver tangible impact with AI. In this episode, we bring together experts Jared Vaudrey and Dr. Dylan Bobby Storey, who have spent years developing AI solutions in heavily regulated industries. They share their hard-won insights on the realities of implementing AI governance across a wide range of organizations and use cases.
Join us as we discuss:
…
continue reading
Join us as we discuss:
- The value of AI governance for driving adoption and innovation
- How governance principles apply to traditional ML and genAI
- The common challenges of governance
- Real-world examples and best practices from advanced teams integrating AI governance
- How automation helps scale governance and provide the flexibility to support future regulation
96 פרקים
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1 The Rise of the Self-Driving Organization 34:54
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אהבתי34:54
As organizations race to become AI-driven, data has emerged not just as a resource, but as a strategic advantage. In this episode, Kjell Carlsson sits down with Doug Laney , author of Infonomics and Data Juice , to explore how generative AI is accelerating the journey toward data monetization and organizational autonomy. Doug shares why traditional approaches to data management no longer suffice, how digital twins and agentic AI are redefining business models, and why the future may belong to self-driving organizations. Tune in to hear: How AI is reshaping the economics of data and enabling new business models Why organizations should embrace agentic AI and digital twins to stay competitive What leaders must do today to build autonomous, AI-native enterprises…

1 The Cultural Shifts That Power AI Adoption 46:52
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AI strategy isn't just about technology. It's about transformation. In this episode, CDAO expert, Dr. Shahram Ebadollahi , joins to discuss what it takes to lead AI in an enterprise and why that leadership must go far beyond just selecting the right tools or models. Drawing on his experience building AI teams, Shahram explains why the Chief AI Officer role is one of the most complex, and most critical, positions in modern organizations. Here we talk about the cultural, organizational, and strategic shifts needed to embed AI deeply and responsibly, and how to move from experimentation to value delivery at scale. Whether you're leading AI or supporting it, this conversation offers a clear-eyed view of what success really requires. Tune in to hear: Why the Chief AI Officer must balance tech depth with business vision How to structure teams and incentives for lasting AI success How to move from AI experimentation to real business impact…

1 The AI Race: Predictions for AI in National Security & the Public Sector 45:30
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What does the global race for AI look like? How has the US Department of Defense been adopting AI by engaging the private sector? And how should we expect AI policy to shift under the new administration? In this episode – the last in our series on the future of AI – guest host Joel Meyer , President of Public Sector at Domino, sits down with General Jack Shanahan (Ret.) former Director of the Joint Artificial Intelligence Center at the U.S. Department of Defense, and Lauren Bedula , Managing Director at Beacon Global Strategies. Join us as we explore: How the U.S. Department of Defense is accelerating AI adoption The global AI race: U.S., China, and allies AI policy shifts under the new U.S. administration Predictions for AI in the Public Sector for 2025 and beyond Also, hear more of Lauren’s thoughts on national security and tech innovation on the Building the Base podcast.…

1 The Future of Enterprise AI? AI in Production! 41:29
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אהבתי41:29
What does the near term future of Enterprise AI look like? A scramble to get valuable, cost-effective, enterprise-grade AI solutions into production, with rigorous governance at scale. If that sounds like a tall order - that’s because it is! However, large advanced organizations (yes, even outside of the tech sector) are already seeing success deploying AI solutions and we can expect the pace to accelerate rapidly in the next 1-2 years. To find out how enterprises are gearing up for this challenge we speak with Richard Swakla , AI and ML Specialist at NetApp and get the inside scoop on the trends that are underway and the strategies organizations are putting in place to operationalize meaningful AI outcomes. Join us as we discuss: The pressure to shift from experimentation to production Breaking down the data, infrastructure and organizational silos Best practices for tackling governance, security and cost challenges Examples of AI efficiency gains in healthcare, pharma, and beyond…

1 The Silent Future of AI in Financial Services 29:47
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אהבתי29:47
AI is transforming financial services and insurance, but rarely in the headline-grabbing ways you might expect. From intelligent process automation to fraud detection and risk management, AI is being embedded across operations, but as AI adoption grows, so do the challenges—cybercrime, rapid technological changes, and ever-evolving regulatory frameworks. In this episode we sit down with Adam Gale , Field CTO for AI & Cyber Security at NetApp , and Mike Upchurch , VP of Strategy for Financial Services and Insurance at Domino, to explore: The "silent revolution" of AI in finance Unlocking the potential of unstructured data AI governance for innovation and regulatory compliance Strategies for driving AI adoption Top predictions for AI in 2025 in FSI…

1 Pharma Is the New Tech: The Future of AI in Life Sciences 31:42
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אהבתי31:42
AI is transforming drug discovery and clinical trials, making what was once cutting-edge the new standard. Pharma companies are evolving into tech companies, leveraging AI to revolutionize every phase of drug development. In this episode, Chris McSpiritt, VP of Life Sciences Strategy at Domino, discusses how AI is no longer a niche capability for select firms but an essential capability for all biopharma organizations. We explore AI-based digital organisms, the increasing reliance on AI in clinical trials, and the shift toward personalized medicine. Join us as we dive into: How AI will drive the majority of new drug discoveries The role of AI in clinical trials The growing need for pharma companies to adopt a tech company mindset The impact of AI-driven automation on regulatory compliance and reporting…

1 AI Predictions for 2025: The Boogeyman, Agentic AI & Governance 11:43
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אהבתי11:43
What’s next for artificial intelligence in 2025? In this episode, Dr. Kjell Carlsson delivers his annual predictions about the immediate future of AI. From AI becoming the universal corporate scapegoat to the rebranding of generative AI as "agentic AI.” Discover why commercial AI solutions remain scarce, the pivotal role of workforce upskilling in achieving transformative AI outcomes, and how governance is shifting from regulation-focused to impact-driven. Want to see how Kjell fared in his 2024 predictions? Look no further than Data Science Leaders podcast Episode 62: AI in 2024: Predictions on the Future of the AI Revolution .…

1 Realizing AI Value Through Governance in Insurance 30:13
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אהבתי30:13
Innovation and AI governance aren’t at odds. Done properly, governance practices can be the key to accelerating implementation of even the latest GenAI use cases. In this interview from RevX London with Raj Mukherjee , Head of Data Science and AI at Direct Line Group , we find out how they embraced the principles of a lean startup, adopted a product mindset and became the first major insurance company to implement a GenAI solution to accelerate customer service. Come find out how they were able to overcome the challenges of legacy infrastructure, build trust and do the seemingly impossible — make compliance fun.…

1 Mastering AI Governance with Forrester & the Federal Reserve 49:17
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אהבתי49:17
How can organizations drive transformative AI innovation while effectively managing its inherent risks? Is governance a bottleneck or can it become a catalyst for AI success? In this webinar, we explore the critical role of AI governance with Brandon Purcell , VP Principal Analyst at Forrester Research, and Theo Linnemann , Data Scientist at the Federal Reserve Bank of New York. Together, they share actionable insights into the principles, practices, and policies necessary for ensuring the safe use of AI that drives real-world impact. Join us as we discuss: The evolution of AI governance and why it has become a top priority for AI teams Frameworks and practices for identifying and managing AI risk The growing importance of automation for effective governance Fairness, business, and other metrics for AI governance How to govern an Agentic AI future…

1 Crossover: Ethical Machines and AI Governance 46:07
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אהבתי46:07
This episode is a collaboration with the Ethical Machines podcast featuring Reid Blackman — CEO of the AI ethical risk consultancy Virtue — and Nick Elprin , cofounder and CEO of Domino Data Lab. Join us as they discuss: The differences between AI ethics and AI governance How the AI governance challenges have changed (and where they haven’t) The people, process and technology solutions for genAI governance (and how they are all intertwined) Predictions about AI maturity, slip ups and regulation…

1 AI Transformation in Government: Lessons from Unit X 36:13
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אהבתי36:13
Think you have a hard time driving AI adoption in your organization? Try driving AI transformation in the largest, most regulated organization on the planet – the Pentagon. In this episode, we sit down with Dr. Chris Kirchhoff – co-author of Unit X: How the Pentagon and Silicon Valley are Transforming the Future of War and former Director of Strategic Planning for the National Security Council – to uncover how the Department of Defense is accelerating the adoption of AI. Dr. Kirchhoff shares invaluable lessons on managing disruption and fostering innovation at scale. Join us as we discuss: How leadership and experimentation drove the success of the Defense Innovation Unit The importance of developing new frameworks for procurement for AI adoption Insights from modern warfare: drone technology and the shift to consumer-driven innovation Best practices for scaling technological transformation across any large organization…

1 The EU AI Act: Key Strategies for Regulatory Compliance 46:00
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אהבתי46:00
The EU AI Act, is it the first step towards comprehensive AI regulation that will make us all safer, or is it the scariest thing in AI today, or both? In this episode we speak with Adam Gale, Field CTO for AI and Regulatory Compliance at NetApp, to demystify the EU AI act and discuss future-proof strategies to ensure compliance.Join us as we discuss: The core requirements of the act and how they impact your use cases Gray areas to look out for in the act Compliance with existing regulations such as DORA and GDPR Core governance capabilities that enable compliance for the EU AI act and future regulation…

1 AI Governance in Action: Lessons from the Trenches 38:46
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אהבתי38:46
AI governance is no longer a hypothetical consideration—it's critical not only to meet regulatory requirements but also to build trust, drive adoption, and deliver tangible impact with AI. In this episode, we bring together experts Jared Vaudrey and Dr. Dylan Bobby Storey , who have spent years developing AI solutions in heavily regulated industries. They share their hard-won insights on the realities of implementing AI governance across a wide range of organizations and use cases. Join us as we discuss: The value of AI governance for driving adoption and innovation How governance principles apply to traditional ML and genAI The common challenges of governance Real-world examples and best practices from advanced teams integrating AI governance How automation helps scale governance and provide the flexibility to support future regulation…

1 Demystifying the Top 5 Questions of AI Governance 20:48
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אהבתי20:48
AI governance is more important than ever, but confusion reigns about basic questions such as: what it is, why it is important and what we should do about it. As an AI, data science, or business leader, you need to dispel these governance misconceptions in order to manage AI risk and ensure the safety and reliability necessary to drive adoption and impact. The ability of your organization to drive impact with AI, and potentially your career, depends on it. Join us as host Kjell Carlsson, gives an opinionated take on the basic questions of AI governance: Why you should care about AI governance (and why it goes beyond ethics and regulation) What AI governance is (and how it differs from ethical AI, responsible AI, and trustworthy AI) Why AI governance is difficult (and the gap between frameworks and practices) What AI governance looks like in practice (across the AI/ML lifecycle) What we need for AI governance (and the capabilities to do it at scale)…

1 Operationalizing privacy in the age of AI 42:17
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אהבתי42:17
Data privacy - why is it so important in the age of AI, why is it so difficult, and what should we be doing to improve it in our organizations? In this episode we speak with Dr. Rebecca Balebako , privacy engineer and Chief Privacy Officer at Lotic.ai, about why AI makes privacy more important than ever, the common misconceptions around data protection, who should own privacy, and the benefits and limitations of privacy enhancing technologies (PETs). Join us as we discuss: The value of privacy (~5% of annual profit) The many definitions of privacy. The top 3 misconceptions: no one cares, it can be fixed with a privacy policy, and privacy is a blocker. Who should own privacy in your organization. PETs vs. data hygiene For more on Rebecca’s consulting on privacy strategy, coaching and how to build a privacy advocate team see https://www.privacyengineer.ch/ and for more on privacy methods check out the book “ Practical Data Privacy ” by Katharine Jarmul.…
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Data Science Leaders

1 Mastering the Rare Art of ML Deployment 35:36
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אהבתי35:36
What’s the biggest problem in AI today? It’s that far too few projects make it to deployment. In this episode, Eric Siegel , founder of the long-running Machine Learning Week conference and creator of the first (and perhaps only) ML music video , tells us about his new book, The AI Playbook and the bizML framework for aligning stakeholders and maximizing the chance for deployment and impact. Join us as we discuss: Causes behind the high rates of AI project failure Critical project steps for ensuring deployment Humor as a means to bridge the gap in AI understanding And check out: The AI Playbook: Mastering the Rare Art of Machine Learning Deployment The entire Predict This music video. You won’t regret it. Machine Learning Week June 4-7, 2024…
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Data Science Leaders

1 Shattering the Myths of GenAI: Interview with Forrester Analyst Rowan Curran 41:41
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אהבתי41:41
The biggest challenges to driving impact with AI have little to do with AI and everything to do with humans. Nowhere is this greater than with GenAI where myths and misconceptions abound as to how organizations should be designing, developing and operationalizing GenAI-based applications. In this episode with Rowan Curran , industry analyst at Forrester Research , we debunk the most harmful myths and discuss how AI teams are shattering these myths and delivering transformative outcomes. Join us as we discuss: The role of data scientists and ML engineers in GenAI projects Successful approaches to prompt engineering The linkages between MLOps and LLMOps…
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Data Science Leaders

1 More Human Than Human? GenAI Customer Service at Bolt 28:10
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אהבתי28:10
Imagine Generative AI handling tens of thousands of conversations with your customers daily. Science fiction? Not at Bolt where this has been in production since the summer of 2023. In this episode, Mikhail Korolev – head of the data science team at Bolt’s food delivery service – shares the challenges and hard earned best practices for operationalizing a GenAI application that dramatically lowers cost while also increasing customer satisfaction. Join us as we discuss: How to leverage GenAI to automate customer service conversations How to manage inconsistency and mitigate risk in GenAI apps How to protect sensitive data and comply with regulatory requirements with GenAI…
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Data Science Leaders

1 AI in 2024: Predictions on the Future of the AI Revolution 13:09
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אהבתי13:09
2023 has been an exciting year for AI, but it’s nothing in comparison to what we will see in 2024! Expect to see sensational successes amid the debris of projects that were set up for failure, a flowering of predictive AI, and the emergence of the scariest thing in AI to date (EU regulation). Tune in to this episode where Dr. Kjell Carlsson shares his top predictions for AI in 2024 and get ready for a year of scandal, fraud, plummeting processor prices, and ascendant AI leaders. Also, goodbye quantum computing! Happy holidays from all of us at Domino Data Lab and the Data Science Leaders podcast.…
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Data Science Leaders

1 The State and Future of Generative AI: Reflections on the Anniversary of ChatGPT with Anaconda CEO Peter Wang 45:36
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אהבתי45:36
ChatGPT wasn’t the beginning of generative AI, but it did spark the GenAI revolution. Now, one year since it was launched, how much progress have we made, what impact is GenAI delivering, what are the real risks, and what developments are just around the corner? Join this session with the titan of the data science community, Anaconda CEO Peter Wang , and Dr. Kjell Carlsson, Head of AI Strategy at Domino Data Lab, where we will cover: The state of GenAI: where GenAI is delivering and missing expectations The challenges: the real risks and remaining barriers to impact The future: what advances are underway and what can we expect over the next year…
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Data Science Leaders

1 CDOs: Changing the Operating Model for Data & AI Transformation 38:55
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אהבתי38:55
How do you achieve success as a Chief Data Officer? It is a role that is more important, yet more challenging, than it has ever been, with a rapidly expanding set of expectations from stakeholders in every part of the business. Here to help us understand the CDO role, its evolution, and the keys to success is Gary Barr , Global Chief Data Officer at Legal & General Investment Management (LGIM). Drawing from his wealth of experience, Gary speaks about the three incarnations of the CDO – from data governance champion to air traffic-controller of AI-driven transformation – as well as the dangers of dividing teams into “offense” and "defense”, the goal of the data mesh, and why AI regulation should be welcomed, not feared. Join us as we discuss: The rapid evolution of the CDO mandate and its responsibilities Changing the operating model for data and AI adoption The importance of qualitative and sentimental measures of ROI…
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Data Science Leaders

1 Transforming Education with Generative AI and Active Learning 41:26
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אהבתי41:26
Most experts agree that AI isn’t about replacing human intelligence, but about improving it. When it comes to education, we should take this literally . In this episode we discuss how to use AI to transform how we learn with Stephen Kosslyn , President of Active Learning Sciences and Founder and Chief Academic Officer of Foundry College . Stephen brings unparalleled expertise when it comes to using AI in education from his remarkable career spanning leadership roles at Harvard, Stanford, and Minerva University, but also thanks to his recent book “ Active Learning with AI: A Practical Guide ”. Join us as we discuss: How Generative AI can make learning more effective and scalable How to design educational programs, create training experiences, and assess student understanding using Generative AI Overcoming the challenges of embracing AI in the education sector For more on the science of active learning and detailed, practical Generative AI examples, please check out Stephen’s new book, available now .…
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Data Science Leaders

1 “Lessons from the First GenAI Killer App" 45:37
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אהבתי45:37
How do you implement an enterprise-grade GenAI application that serves millions of users a day? By focusing your application and building the capabilities for operationalizing it at scale. Join our upcoming fireside chat with Domino's SVP of Product, Chris Lauren , who will share lessons learned while operationalizing the world’s first enterprise-grade GenAI application to be used on a global scale, Github Copilot. Join us to learn: Success factors for GenAI use cases Common challenges and how to avoid them Key capabilities for operationalizing GenAI models at scale Inferencing GenAI models cost-effectively…
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Data Science Leaders

1 Honeywell: Delivering on the Power of Outlier Detection 16:10
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אהבתי16:10
Every organization has an abundance of outlier detection use cases, but how do you turn them into repeatable, scalable AI products that drive a virtuous cycle of adoption and impact? To answer this question, Jan Zirnstein , Senior Data Science Director at Honeywell ,. shares their best practices for successfully driving value using anomaly detection, how to build trust with stakeholders, and the importance of both product management and software development resources. Join us as we discuss: How to spark a virtuous cycle with anomaly detection use cases Driving continuous improvement by transitioning from unsupervised to supervised machine learning Aligning the model development and software development lifecycles…
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Data Science Leaders

1 Making Better Sustainability Decisions with AI 11:17
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אהבתי11:17
AI has enormous potential for good, not least in helping us make more ethical, sustainable decisions as investors and consumers. In this week’s episode Ron Potok , Head of Data Science at Clarity AI , explains how AI helps us overcome the challenges of collecting, normalizing and assessing Environmental, Social and Governance (ESG) data and making that data useful and convenient to humans when making decisions. Indeed, he reveals how AI can bring transparency to human-only ESG ratings that can be more opaque and prone to bias than an AI model, and the benefits of leveraging humans and AI models in tandem. Join us as we discuss: Overcoming the ESG data quality challenges with AI Leveraging AI to contextualize data and drive consistency How AI can provide greater transparency than human-only ratings…
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Data Science Leaders

1 Celebrity Guest Gregory Zuckerman: Trusting AI to Make the Decisions 12:09
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אהבתי12:09
How do you trust black-box AI models with decisions that will make-or-break your business? This week we speak with Gregory Zuckerman -- special writer at the Wall Street Journal and author of The New York Times bestseller of The Man Who Solved the Market -- to find out how the pioneers in algorithmic trading learned to stop worrying and trust their AI systems. Join us as we discuss: How trust in AI relies on trust in people and processes The limits of explainability and transparency The power of systems over stories…
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Data Science Leaders

1 Solving the AI Talent Gap: Upskilling at Scale at Halliburton 45:14
45:14
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אהבתי45:14
Who doesn’t have a data science talent gap? Anyone? Most organizations struggle to realize their AI ambitions because of a lack of data science skills, a disconnect between the technology and the business domain, and a lack of leadership experience with AI. Halliburton has been solving all three of these challenges with one of the earliest and largest corporate data science programs in the energy sector. In today’s episode of Data Science Leaders, we are extremely fortunate to be joined by Dr. Satyam Priyadarshy , Managing Director, Technology Fellow and Chief Data Scientist at Halliburton who shares their best practices for upskilling talent, bridging the data science - business divide, and ensuring executive engagement. Join us as we discuss: How to upskill existing domain experts on data science methods How to engage and drive alignment with corporate stakeholders through workshops The benefits of upskilling domain experts on code-based data science tools The importance of involving and upskilling leadership…
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Data Science Leaders

1 The AI Innovator’s Dilemma: Insights from Harvard’s D^3 Institute 29:01
29:01
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אהבתי29:01
It’s been said: “When everything is important, nothing is important.” So how do you succeed with AI-driven transformation where everything – across people, process, and technology – is important? It requires leadership, a deliberate strategy, and ongoing organizational change. Here to share insight on these transformational challenges and best-practices are Jen Stave and Catherine Feldman from the Digital, Data, and Design (D^3) Institute at Harvard . In this wide-ranging conversation, the duo draws upon seminal research from the Harvard Business School – such as professor Clay Christensen’s theory of Disruption – to explain how organizations must adapt their business and operating models, and make experimentation part of their organizational DNA. Join us as we discuss: Disruption and the reasons so many AI projects fail The need for a holistic approach and strong leadership for AI success Applying a jobs to be done” approach to generative AI Also don’t miss HBS professor Karim Lakhani’s Rev 4 Keynote, “Competing in the Age of AI” .…
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Data Science Leaders

1 Get the Most Out of Generative AI 1:18:28
1:18:28
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אהבתי1:18:28
Generative AI is here and, unless you’ve been cloistered in a cave, you already know it’s making waves in nearly every industry. But when it comes to this shiny new technology, separating fact from fiction can become quite a challenge. Luckily, in this episode, Rowan Curran , Analyst at Forrester , joins the show to demystify the latest leaps in AI tech, help you apply it to your business today, and give a glimpse of how it will affect the business landscape of tomorrow. Join us as we discuss: Separate generative AI facts and fiction Take a closer look at AI applications you can start using today Examine the future of AI and its impacts on the workforce and the workplace…
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Data Science Leaders

1 Celebrity Guest Reid Blackman: Who’s Responsible for Responsible AI? 24:41
24:41
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אהבתי24:41
“It is on the shoulders of leaders that they build and maintain an ethical AI risk program.” That’s the message Reid Blackman – author of “Ethical Machines” and founder CEO at Virtue Consultants – shares in this episode. He discusses the real ethical AI concerns — blackbox models, bias, hallucinations, privacy violations and more — and explains the crucial need for leadership accountability, buy-in from the very top of the organization, and a multi-party effort in building and maintaining AI ethical risk programs. Join us as we discuss: Why AI poses greater ethical risks than other technologies (and humans) Leadership and the other key elements of a successful AI / digital ethics program The importance of explainability…
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