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DataFramed is a podcast for data & analytics leaders looking to scale data science throughout an organization by equipping them with the insights to drive value from data science and create a data-driven culture. Each episode will feature a conversation with various data science and analytics leaders who are transforming their organizations and are at the forefront of the data revolution. Whether you’re just getting started in your data career, or you’re a data leader looking to scale data-d ...
thinkLeaders tells the stories behind AI and business transformation through engaging interviews with top entrepreneurs, technologists, and researchers at the forefront of disruption. Join host Amanda Thurston as she and her guests offer insights and advice on strategic, data-driven leadership, and innovation. It is a deep dive into emerging technologies that unpacks and explains the issues, having some fun along the way. Brought to you by IBM. This channel is managed by Serena Peters and Am ...
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#93 How Data Science Drives Value for Finance Teams
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Building data science functions has become tables takes for many organizations today. However, before data science functions were needed, the finance function acted as the insights layer for many organizations over the past. This means that working in finance has become an effective entry point into data science function for professionals across al…
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#92 Democratizing Data in Large Enterprises
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Democratizing data, and developing data culture in large enterprise organizations is an incredibly complex process that can seem overwhelming if you don’t know where to start. And today’s guest draws a clear path towards becoming data-driven. Meenal Iyer, Sr. Director for Data Science and Experimentation at Tailored Brands, Inc., has over 20 years …
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#91 Building a Holistic Data Science Function at New York Life Insurance
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When many people talk about leading effective Data Science teams in large organizations, it’s easy for them to forget how much effort, intentionality, vision, and leadership are involved in the process. Glenn Hofmann, Chief Analytics Officer at New York Life Insurance, is no stranger to that work. With over 20 years of global leadership experience …
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#90 How Data Science is Transforming the Healthcare Industry
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The healthcare industry presents a set of unique challenges for data science, including how to manage and work with sensitive patient information and accounting for the real-world impact of AI and machine learning on patient care and experience. Curren Katz, Senior Director for Data Science & Project Management at Johnson & Johnson, believes that d…
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[DataFramed Careers Series #4]: Acing the Data Science Interview
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Today marks the last episode of our four-part DataFramed Careers Series on breaking into a data career. We’ve heard from Sadie St Lawrence, Nick Singh, and Khuyen Tran on best practices to adopt to help you land a data science interview. But what about the interview itself? Today’s guest, Jay Feng, joins the show to break down all the most importan…
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[DataFramed Careers Series #3]: Accelerating Data Careers with Writing
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Today is the third episode of this four-part DataFramed Careers series being published every day this week on building a career in data. We’ve heard from Nick Singh on the importance of portfolio projects, as well as the distinction between content-based and coding-based portfolio projects. When looking to get started with content-based projects, h…
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[DataFramed Careers Series #2] What Makes a Great Data Science Portfolio
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Today marks the second episode in our DataFramed Careers Series. In this series, we will interview a diverse range of thought leaders and experts on the different aspects of landing a data role in 2022. In the first episode of the series, Sadie discussed at great length the importance of having a solid data science portfolio to land a role in data.…
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[DataFramed Careers Series #1] Launching a Data Career in 2022
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Today is the start of a four-day careers series covering breaking into data science in 2022. With so so much demand for data jobs today, we wanted to demystify the ins and outs of accelerating a career in data. In this series, we will interview a diverse range of thought leaders and experts on the different aspects of standing out from the crowd in…
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DataFramed Careers Series Special Announcement!
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Introducing the DataFramed Careers Series. Over the past year hosting the DataFramed podcast, we've had the incredible privilege of having biweekly conversations with data leaders at the forefront of the data revolution. This has led to fascinating conversations on the future of the modern data stack, the future of data skills, and how to build org…
Data literacy at any organization takes buy-in from all levels of the company, from C-suite leaders all the way to customer-facing team members. But how do you get that buy-in, build a team around data literacy, and transform the way your company works with data? Today’s guest, Megan Brown, Director of Data Literacy and Knowledge Management at Star…
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#84 Building High-Impact Data Teams at Capital One
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Diversity in both skillset and experience are at the core of high-impact data teams, but how can you take your data team’s impact to the next level with subject matter expertise, attention to user experience, and mentorship? Today’s guest, Dan Kellet, Chief Data Officer at Capital One UK, joins us to discuss how he scaled Capital One’s data team. T…
As data volumes grow and become ever-more complex, the role of the data analyst has never been more important. At the disposal of the modern data analyst, are tools that reduce time to insight, and increase collaboration. However, as the tools of a data analyst evolve, so do the skills. Today’s guest, Peter Fishman, Co-Founder at Mozart Data, speak…
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#82 Successful Digital Transformation Puts People First
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When you hear the term-digital first, you might think about tech, platforms and data. But digital transformation succeeds when you put people first. Gathering and analyzing data, then using it to provide the customer value and an unparalleled experience, is vital for an organization’s success. Today’s guest, Bhavin Patel, Director o f Analytics and…
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#81 The Gradual Process of Building a Data Strategy
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The data journey is a slow painstaking process. But knowing where to start and the areas to focus on can help any organization reach its goals faster. Today’s guest, Vijay Yadav, Director of Quantitative Sciences & Head of Data Science at the Center for Mathematical Sciences at Merck, explains the 6 key elements of data strategy, complete with advi…
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#80 The Rise of Hybrid Jobs & the Future of Data Skills
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It’s no secret that data science jobs are on the rise; but data skills across the board are rising — leading to what today’s guest calls “hybrid jobs.” This will require a paradigm shift in how we think about jobs and skills. Today’s guest, Matt Sigelman, President of The Burning Glass Institute & Chairman of Emsi Burning Glass, talks about the dif…
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#79 Delivering Smarter Cities & Better Public Policy w/ Data
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Throughout the middle east, efforts are underway to build smart cities from the ground up. But to create a modern, intelligently-designed city, you first need to lay a solid foundation. And the strongest foundation you can build a smart city upon is data. In today’s episode, we speak with Kaveh Vessali, Digital, Data & AI Leader, PwC Middle East, a…
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#78 How Data & Culture Unlock Digital Transformation
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When most people hear digital transformation, it’s almost always the technology that first springs to mind. That’s a mistake. You can have the most sophisticated tech stack in the world, but if you don't build your organization’s data culture, your digital transformation efforts will be for naught. Today’s guest, Mai AlOwaish, Chief Data Officer at…
As we enter the new year—it seems like we’re telescoping into the future of work. Companies embracing remote work, the great resignation putting pressure on teams to create more fulfilling roles—signals an expanding opportunity for applicants to find their dream roles in data science, but also for hiring managers to create awesome candidate experie…
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#76 Providing Financial Inclusion with Data Science, with Vishnu V Ram, VP of Data Science and Engineering at Credit Karma
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In this episode of DataFramed, we speak with Vishnu V Ram, VP of Data Science and Engineering at Credit Karma about how data science is being leveraged to increase financial inclusion. Throughout the episode, Vishnu discusses his background, Credit Karma’s mission, how data science is being used at Credit Karma to lower the barrier to entry for fin…
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#75 The Data Storytelling Skills Data Teams Need with Andy Cotgreave, Technical Evangelist at Tableau
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In this episode of DataFramed, we speak with Andy Cotgreave, Technical Evangelist at Tableau about the role of data storytelling when driving change with analytics, and the importance of the analyst role within a data-driven organization. Throughout the episode, Andy discusses his background, the skills every analyst should know to equip organizati…
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#74 Harnessing the Power of Collaboration with Engineering Manager at Lucid Software, Brian Campbell
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In this episode of DataFramed, we speak with Brian Campbell, Engineering Manager at Lucid Software about managing data science projects effectively and harnessing the power of collaboration. Throughout the episode, Brian discusses his background, how data leaders can become better collaborators, data science project management best practices, the t…
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#73 Scaling AI Adoption in Financial Services with Chief Strategy Officer and Head of Financial Services at TruEra Shameek Kundu
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In this episode of DataFramed, we speak with Shameek Kundu, former group CDO at Standard Chartered Bank, and Chief Strategy Officer & Head of Financial Services at TruEra Inc about Scaling AI Adoption throughout financial services. Throughout the episode, Shameek discusses his background, the state of data transformation in financial services, the …
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#72 Building High Performing Data Teams with Syafri Bahar, VP of Data Science at Gojek
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In this episode of DataFramed, we speak with Syafri Bahar, VP of Data Science at Gojek about building high-performing data teams, and how data science is central to Gojek’s success. Throughout the episode, Syafri discusses his background, the hallmarks of a high-performance data team, how he measures the ROI on data activities, the skills needed in…
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#71 Scaling Machine Learning Adoption: A Pragmatic Approach
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In this episode of DataFramed, we speak with Noah Gift, founder of Pragmatic AI Labs and prolific author about operationalizing machine learning in organizations and his new book Practical MLOPs. Throughout the episode, Noah discusses his background, his philosophy around pragmatic AI, the differences between data science in academia and the real w…
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#70 Beyond the Language Wars: R & Python for the Modern Data Scientist
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In this episode of DataFramed, we speak with Rick Scavetta and Boyan Angelov about their new book, Python and R for the Modern Data Scientist: The Best of Both Worlds, and how it dawns the start of a new bilingual data science community. Throughout the episode, Rick and Boyan discuss the history of Python and R, what led them to write the book, how…
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#69 Effective Data Storytelling: How to Turn Insights into Action
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In this episode of DataFramed, we speak with Brent Dykes, Senior Director of Insights & Data Storytelling at Blast Analytics and author of Effective Data Storytelling: How to Turn Insights into Action on how data storytelling is shaping the analytics space. Throughout the episode, Brent talks about his background, what made him write a book on effe…
In this episode of DataFramed, Adel speaks with Maria Luciana Axente, Responsible AI and AI for Good Lead at PwC UK on the state and future of responsible AI.Throughout the episode, Maria talks about her background, the differences & intersections between "AI ethics" and "Responsible AI", the state of responsible AI adoption within organizations, t…
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#67 Operationalizing Machine Learning with MLOps
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In this episode of DataFramed, Adel speaks with Alessya Visnjic, CEO and co-founder of WhyLabs, an AI Observability company on a mission to build the interface between AI and human operators. Throughout the episode, Alessya talks about the unique challenges data teams face when operationalizing machine learning that spurred the need for MLOps, how …
In this episode of DataFramed, Adel speaks with Sudaman Thoppan Mohanchandralal, Regional Chief Data, and Analytics Officer at Allianz Benelux, on the importance of building data cultures and his experiences operationalizing data culture transformation programs.Throughout the episode, Sudaman talks about his background, the Chief Data Officer’s man…
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#65 Preventing Fraud in eCommerce with Data Science
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In this episode of DataFramed, Adel speaks with Elad Cohen, VP of Data Science and Research at Riskified on how data science is being used to combat fraud in eCommerce.Throughout the episode, Elad talks about his background, the plethora of data science use-cases in eCommerce, how Riskified builds state-of-the-art fraud detection models, common pit…
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#64 Creating Trust in Data with Data Observabilty
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In this episode of DataFramed, Adel speaks with Barr Moses, CEO, and co-founder of Monte Carlo on the importance of data quality and how data observability creates trust in data throughout the organization. Throughout the episode, Barr talks about her background, the state of data-driven organizations and what it means to be data-driven, the data m…
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#63 The Past and Present of Data Science
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In this episode of DataFramed, Adel speaks with Sergey Fogelson, Vice President of Data Science and Modeling at Viacom on how data science has evolved over the past decade, and the remaining large-scale challenges facing data teams today. Throughout the episode, Sergey deep-dives into his background, the various projects he’s been involved with thr…
In this episode of DataFramed, Adel speaks with Dan Becker, CEO of decision.ai and founder of Kaggle Learn on the intersection of decision sciences and AI, and best practices when aligning machine learning to business value. Throughout the episode, Dan deep-dives into his background, how he reached the top of a Kaggle competition, the difference be…
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#61 Creating Smart Cities with Data Science
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In this episode of DataFramed, Adel speaks with Amen Ra Mashariki, principal scientist at Nvidia and the former Chief Analytics Officer of the City of New York on how data science is done in government agencies, and how it's driving smarter cities all around us. Throughout the episode, Amen deep-dives into the use-cases he worked on to make the cit…
We are super excited to be relaunching the DataFramed podcast. In this iteration of DataFramed, Adel Nehme, a data science educator at DataCamp, will uncover the latest thinking on all things data and how it’s impacting organizations through biweekly (once every two weeks) interviews and conversations with data experts from across the world. Check …
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#60 Data Privacy in the Age of COVID-19
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Before the COVID-19 crisis, we were already acutely aware of the need for a broader conversation around data privacy: look no further than the Snowden revelations, Cambridge Analytica, the New York Times Privacy Project, the General Data Protection Regulation (GDPR) in Europe, and the California Consumer Privacy Act (CCPA). In the age of COVID-19, …
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IBM thinkLeaders
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Leveraging AI to tackle large problems & being an Optimistic Futurist feat. Kate O'Neill
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In this episode of IBM thinkLeaders podcast, we are joined by guest Kate O'Neill (author of Tech Humanist: How You Can Make Technology Better for Business and Better for Humans) to discuss how we can leverage AI for good, the need for a transdisciplinary approach to AI, and what it means to be an Optimistic Futurist. Kate talks about her own career…
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Capturing important insights in NLP w/ Watson Discovery’s Phil Anderson
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How can we tap into the value of human communication? What are the insights we can glean using natural language processing (NLP)? How can NLP capture sentiment and tone?In this episode of IBM thinkLeaders podcast, we are joined by guest Phil Anderson (Senior Offering Manager for the Watson Discovery Service) to learn about Watson Discovery and how …
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IBM thinkLeaders
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Can we teach algorithms to understand human emotions? Convo w/ Evermind’s Ivy Mahsciao
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Can we teach algorithms to understand human emotions? Are humans okay with being vulnerable toward an AI agent? How can biofeedback help us to be caring, empathetic, and aware individuals?In this episode of IBM thinkLeaders podcast, we are joined by guest Ivy Mahsciao (founder & CPO at Evermind AI) to discuss whether AI has the potential to make us…
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IBM thinkLeaders
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AI literacy & promoting AI for good w/ Karen Bhatia
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What are the ways that AI can be leveraged for good? How can we increase AI and digital literacies? What are some ways we can expand AI for everyone?In this episode of IBM thinkLeaders podcast, we are joined by guest Karen Bhatia (Senior Vice President at the New York City Economic Development Corporation) to discuss how we can expand access to dig…
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IBM thinkLeaders
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Promoting AI literacy w/ Hugo Bowne-Anderson of DataCamp
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How can we better promote AI literacy? What skills are commonly lacking in organizations? Are new people entering the field considering bias in AI?In this episode of IBM thinkLeaders podcast, we are joined by guest Hugo Bowne-Anderson (Data Scientist at DataCamp) to discuss how we can better promote AI and digital skills. We talk to Hugo about the …
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IBM thinkLeaders
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Can AI capture the wisdom of others? An Interview w/ Dana Griffin of INNRwisdom
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By IBM thinkLeaders
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IBM thinkLeaders
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Top Women in AI: encouraging more women in the field w/ Lili Gil Valletta & Amanda Stent
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By IBM thinkLeaders
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IBM thinkLeaders
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Leveraging AI in the workplace w/ Denise Broady & Roy Girasa
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By IBM thinkLeaders
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IBM thinkLeaders
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Using AI to solve real problems, AI literacy & dealing w/ disruption w/ Jason Tan & Karina Grosheva
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By IBM thinkLeaders
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IBM thinkLeaders
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Having AI & humans work in tandem to improve employee experiences feat. Josh Miramant & Joe Ciuffo
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By IBM thinkLeaders
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IBM thinkLeaders
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Enhancing the Customer Experience w/ NLP feat. Ido Bornstein-HaCohen & Gabe Larsen
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By IBM thinkLeaders
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IBM thinkLeaders
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Explainability in AI & Putting Humans in the Loop w/ Renée Cummings & Niki Athanasiadou
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By IBM thinkLeaders
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IBM thinkLeaders
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Making AI practical: transforming your business to leverage AI w/ Rob Key & Chris Duffey
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By IBM thinkLeaders
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IBM thinkLeaders
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Smart cities depend on smart governing: a convo w/ Gov Martin O’Malley & Alexander Shermansong
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By IBM thinkLeaders
