Afleveringen
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The rise of AI tools has democratized access to technology, but with it comes the responsibility to use these tools ethically. How do organizations ensure their employees are not only aware of AI's capabilities but also its risks? What does it mean to have a responsible AI strategy that is both comprehensive and adaptable to future advancements? As companies strive to align their AI initiatives with ethical standards, what are the best practices for training and upskilling teams to meet these challenges head-on?
Uthman Ali is the Global Head of Responsible AI at BP and is an expert on AI ethics. As a former human rights lawyer and neuro-ethicist, he recognized how regulations were not keeping up with the pace of innovation and specialized in this emerging field. Some of his current projects include creating ethical policies/procedures for the use of robots, wearables and using AI for creativity.
In the episode, Adel and Uthman explore the importance of responsible AI in organizations, the critical role of upskilling, the impact of the EU AI Act, practical implementation of AI ethics, the spectrum of AI skills needed, the future of AI governance, and much more.
Links Mentioned in the Show:
Report: The State of Data & AI LiteracyConnect with UthmanCourse: Responsible AI PracticesRelated Episode: Scaling AI in the Enterprise with Abhas Ricky, Chief Strategy Officer at ClouderaSign up to attend RADAR: Skills EditionNew to DataCamp?
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The rise of A-B testing has transformed decision-making in tech, yet its application isn't without challenges. As professionals, how do you navigate the balance between short-term gains and long-term sustainability? What strategies can you employ to ensure your testing methods enhance rather than hinder user experience? And how do you effectively communicate the insights gained from testing to drive meaningful change within your organization?
Vanessa Larco is a former partner at NEA where she led Series A and Series B investment rounds and worked with major consumer companies like DTC jewelry giant Mejuri, menopause symptom relief treatment Evernow, and home-swapping platform Kindred as well as major enterprise SaaS companies like Assembled, Orby AI, Granica AI, EvidentID, Rocket.Chat, Forethought AI. She is also a board observer at Forethought, SafeBase, Orby AI, Granica, Modyfi, and HEAVY.AI. She was a board observer at Robinhood until its IPO in 2021. Before she became an investor, she built consumer and enterprise tech herself at Microsoft, Disney, Twilio, and Box as a product leader.
In the episode, Richie and Vanessa explore the evolution of A-B testing in gaming, the balance between data-driven decisions and user experience, the challenges of scaling experimentation, the pitfalls of misaligned metrics, the importance of understanding user behavior, and much more.
Links Mentioned in the Show:
New Enterprise AssociatesConnect with VanessaCourse: Customer Analytics and A/B Testing in PythonRelated Episode: Make Your A/B Testing More Effective and EfficientSign up to attend RADAR: Skills Edition - Vanessa will be speaking!New to DataCamp?
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Zijn er afleveringen die ontbreken?
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Generative AI has transformed the financial services sector, sparking interest at all organizational levels. As AI becomes more accessible, professionals are exploring its potential to enhance their work. How can AI tools improve personalization and fraud detection? What efficiencies can be gained in product development and internal processes? These are the questions driving the adoption of AI as companies strive to innovate responsibly while maximizing value.
Andrew serves as the Chief Data Officer for Mastercard, leading the organization’s data strategy and innovation efforts while navigating current and future data risks. Andrews's prior roles at Mastercard include Senior Vice President, Data Management, in which he was responsible for the quality, collection, and use of data for Mastercard’s information services and advisory business, and Mastercard’s Deputy Chief Privacy Officer, in which he was responsible for privacy and data protection issues globally for Mastercard. Andrew also spent many years as a Privacy & Intellectual Property Council advising direct marketing services, interactive advertising, and industrial chemicals industries.
Andrew holds Juris Doctor from Columbia University School of Law and has his bachelor’s degree, cum laude, in Chemical Engineering from the University of Delaware. Andrew is a retired member of the State Bar of New York.
In the episode, Adel and Andrew explore GenAI's transformative impact on financial services, the democratization of AI tools, efficiency gains in product development, the importance of AI governance and data quality, the cultural shifts and regulatory landscapes shaping AI's future, and much more.
Links Mentioned in the Show:
MastercardConnect with AndrewSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Research InstituteSign up to attend RADAR: Skills EditionNew to DataCamp?
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As businesses collect more data than ever, the question arises: is bigger always better? Companies are beginning to question whether massive datasets and complex infrastructures are truly delivering results or just adding unnecessary costs. How can you align your data strategy with your actual needs? Could focusing on smaller, more manageable datasets improve efficiency and save resources while still delivering valuable insights?
Dr. Madelaine Daianu is the Head of Data & AI at Credit Karma, Inc. Before joining the company in June 2023, she served as Head of Data and Pricing at Belong Home, Inc. Earlier in her career, Daianu has held numerous senior roles in data science and machine learning at The RealReal, Facebook, and Intuit. Daianu earned a Bachelor of Applied Science in Bioengineering and Mathematics from the University of Illinois at Chicago and a Ph.D. in Bioengineering and Biomedical Engineering from the University of California, Los Angeles.
In the episode, Richie and Madelaine explore generative AI applications at Credit Karma, the importance of data infrastructure, the role of explainability in fintech, strategies for scaling AI processes, and much more.
Links Mentioned in the Show:
Credit KarmaConnect with MaddieSkill Track: AI Business FundamentalsRelated Episode: Effective Product Management for AI with Marily Nika, Gen AI Product Lead at Google AssistantSign up to attend RADAR: Skills EditionNew to DataCamp?
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With AI agents and GPU acceleration at the forefront, data science is entering a new era of efficiency and innovation. How are AI copilots transforming the way data scientists code and solve problems? Are they a reliable partner or a source of new complexities? On the other hand, the move to GPU-accelerated data science tools is revolutionizing model training and experimentation. What does this mean for the future of data science workflows? Explore these cutting-edge developments and their impact on the industry.
Jean-Francois got a PhD in machine learning in the previous millennium. Given the AI winter at the time, he worked for a while on mathematical optimization software as dev manager for CPLEX in a startup. He came back to Machine Learning when IBM acquired the startup. Since then he discovered Kaggle and became one of the best Kagglers in the world. He joined NVIDIA 5 years ago and leads the NVIDIA Kaggle Grandmaster team there.
Chris Deotte is a senior data scientist at NVIDIA. Chris has a Ph.D. in computational science and mathematics with a thesis on optimizing parallel processing. Chris is a Kaggle 4x grandmaster.
In the episode, Richie, Jean-Francois, and Chris explore the transformative role of AI agents in data science, the impact of GPU acceleration on workflows, the evolution of competitive data science techniques, the importance of model evaluation and communication skills, and the future of data science roles in an AI-driven world, and much more.
Links Mentioned in the Show:
NVIDIANVIDIA RapidsFew shot learningConnect with Jean-Francois on Linkedin and Kaggle and check out Chris on KaggleCourse: Winning a Kaggle Competition in PythonRelated Episode: Becoming a Kaggle GrandmasterSign up to attend RADAR: Skills EditionNew to DataCamp?
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Dashboards are everywhere in the data industry, but are they being used effectively? Many professionals find themselves creating dashboards that end up underutilized or misunderstood. The key is not just in the data presented, but in how it's communicated and used. How can you rethink your approach to dashboarding to ensure it aligns with business goals? What methods can you employ to engage users and drive meaningful actions?
Lee is the President at DecisionViz, who provides training and consulting to organizations to improve their people, process, and culture around visualization and storytelling. He's a course creator for the University of Chicago, an instructor for TDWI, and an Adjunct Faculty Instructor for NYU School of Professional Studies. Lee is also a Tableau Certified Associate Consultant, 4 times Tableau Ambassador, and a long-term Tableau Partner. Previously, he was a Research Advisor for the International Institute of Analytics, the Founder of the 501c data community, and a senior manager at Nokia.
In the episode, Richie and Lee explore the limitations of traditional dashboards, the importance of a product mindset in data visualization, the role of communication and standardization in analytics, the intersection of AI with dashboarding, and much more.
Links Mentioned in the Show:
DecisionVizConnect with LeeCourse: Understanding Data VisualizationRelated Episode: Data Storytelling and Visualization with Lea Pica from Present Beyond MeasureSign up to attend RADAR: Skills EditionNew to DataCamp?
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Welcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we discuss the rise of reasoning LLMs like DeepSeek R1 and the competition shaping the AI space, OpenAI’s Operator and the broader push for AI agents to control computers, and the implications of massive AI infrastructure investments like Project Stargate. We also touch on Google’s overlooked AI advancements, the challenges of AI adoption, the potential of Replit’s mobile app for building apps with natural language, and much more.
Links Mentioned in the Show:
YouTube Tutorial: Fine Tune DeepSeek R1 | Build a Medical ChatbotOpenAI Deep ResearchOpen OperatorGemini 2.0Lex Fridman Podcast Episode on DeepSeekRemoving Barriers to American Leadership in Artificial IntelligencePresident's Council of Advisors on Science and TechnologyProject Stargate announcements from OpenAI, SoftbankSam Altman's quest for $7tnReplit Mobile AppSign up to attend RADAR: Skills EditionNew to DataCamp?
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Optimization and decision intelligence are reshaping industries, from logistics to finance. But what does this mean for professionals navigating daily challenges? Whether you're scheduling employees or managing power grids, finding the optimal solution can mean the difference between success and failure. How do you leverage optimization to make smarter, data-driven decisions? And how do you ensure these solutions are embraced by your team? Join us as we delve into the practical applications of optimization in the workplace.
Duke Perrucci is the CEO at Gurobi Optimization. Prior to being appointed CEO, Duke served as CRO and COO since 2018. Perrucci has over 25 years of experience in sales, marketing, and analytics roles. Before joining Gurobi, he served at Cambridge Analytica, FocusVision, and Unilever. He also spent nine years with Information Resources, Inc., where he worked across the entire PepsiCo enterprise.
Dr. Ed Klotz is a Senior Mathematical Optimization Specialist at Gurobi Optimization. Klotz has over 30 years of experience in the mathematical optimization software industry. He is a technical expert who has helped customers solve some of the world’s most challenging mathematical optimization problems. Dr. Klotz works closely with Gurobi's customers to support them in implementing and utilizing mathematical optimization in their organizations. He also interacts heavily with the R&D team based on his experiences with the customers.
In the episode, Richie, Duke, and Ed explore decision intelligence, optimization in various industries, the synergy between optimization and machine learning, overcoming challenges in model building, the role of large language models in democratizing optimization, and much more.
Links Mentioned in the Show:
Gurobi OptimizationConnect with Duke and EdSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision ScientistSign up to RADAR: Skills EditionNew to DataCamp?
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Thought leadership is more than just a buzzword—it's a strategic tool that can significantly influence business decisions and relationships. But what makes thought leadership effective? How do you ensure your insights are not only heard but also trusted and acted upon? What role does generative AI play in enhancing the storytelling process, and how can it be leveraged to create compelling narratives that resonate with your audience?
Cindy Anderson is the Chief Marketing Officer/Global Lead for Engagement & Eminence at the IBM Institute for Business Value (IBV). She has co-authored research reports, published numerous articles, and delivered presentations on thought leadership, diversity, strategy implementation, project management, and technology to global audiences. She oversees a team of 30 editors, designers, and social media/email marketers. She is a founding board member of the Global Thought Leadership Institute at APQC, a new association that advances the practice of thought leadership.
Anthony Marshall is the Chair of the Board of Advisors for The Global Thought Leadership Institute at APQC and the Senior Research Director of thought leadership at the IBM Institute for Business Value (IBV), leading the top-rated thought leadership and analysis program. He oversees a global team of 60 technology and industry experts, statisticians, economists, and analysts. Anthony conducts original thought leadership and has authored dozens of refereed articles and studies on topics including generative AI, innovation, digital and business transformation and ecosystems, open collaboration and skills.
In the episode, Richie, Cindy, and Anthony explore the framework for thought leadership storytelling, the role of generative AI in thought leadership, the ROI of thought leadership, building trust and quality in research, and much more.
Links Mentioned in the Show:
The ROI of Thought Leadership book by Cindy and AnthonyAPQCConnect with Cindy and AnthonySkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Research InstituteSign up to RADAR: Skills EditionNew to DataCamp?
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As the software landscape becomes more fragmented, the importance of product integrations continues to rise. For those working in data and engineering roles, this presents both challenges and opportunities. How do you efficiently manage and scale integrations across diverse systems? What tools and strategies can help you maintain data integrity and streamline workflows? And how can you ensure that your integration strategy aligns with broader business goals and customer expectations?
Gil Feig is the Co-Founder and CTO of Merge, the leading unified API platform. Previously, Gil was the Head of Engineering at Untapped and worked as a software engineer at Wealthfront and LinkedIn. A graduate of Columbia University, he lives and works in New York City.
In the episode, Richie and Gil explore the complexities of product integrations, the evolution of software ecosystems, the challenges of scaling integrations, the role of data engineers, the impact on business operations, and the future of integration technology, and much more.
Links Mentioned in the Show:
MergeConnect with GilCourse: Implementing AI Solutions in BusinessRelated Episode: Building Multi-Modal AI Applications with Russ d'Sa, CEO & Co-founder of LiveKitSign up to RADAR: Skills EditionNew to DataCamp?
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As AI continues to dominate industry conversations, the notion of AI readiness becomes a focal point for organizations. It's a multifaceted challenge that goes beyond technology, encompassing business processes and cultural shifts. For professionals, this means grappling with questions like: How do you choose the right AI projects that align with business goals? What skills and team structures are necessary to support AI initiatives? And how do you manage the change that comes with integrating AI into your operations?
Venky Veeraraghavan is the Chief Product Officer at DataRobot. As CPO, Venky drives the definition and delivery of the DataRobot Enterprise AI Suite. Venky has twenty-five years of experience focusing on big data and AI as a product leader and technical consultant at top technology companies (Microsoft) and early-stage startups (Trilogy).
In the episode, Richie and Venky Veeraraghavan explore AI readiness in organizations, the importance of aligning AI with business processes, the roles and skills needed for AI integration, the balance between building and buying AI solutions, the challenges of implementing AI-driven changes, and much more.
Links Mentioned in the Show:
DatarobotConnect with VenkySkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: Aligning AI with Enterprise Strategy with Leon Gordon, CEO at Onyx DataAttend RADAR Skills EditionNew to DataCamp?
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The rise of AI agents in the workplace is transforming how businesses operate, tackling repetitive tasks and freeing up human employees for more creative endeavors. But what does this mean for the future of work, and how can professionals leverage these tools effectively? As AI agents become more sophisticated, capable of reasoning and decision-making, how do you ensure they align with your business goals? What are the implications for data privacy and security, and how do you manage the transition to a more automated workforce while maintaining human oversight?
Surojit Chatterjee is the founder and CEO of Ema. Previously, he guided Coinbase through a successful 2021 IPO as its Chief Product Officer and scaled Google Mobile Ads and Google Shopping into multi-billion dollar businesses as the VP and Head of Product. Surojit holds 40 US patents and has an MBA from MIT, MS in Computer Science from SUNY at Buffalo, and B. Tech from IIT Kharagpur.
In the episode, Richie and Surojit explore the transformative role of AI agents in automating repetitive business tasks, enhancing creativity and innovation, improving customer support, and redefining workplace efficiency. They discuss the potential of AI employees, data privacy concerns, and the future of AI-driven business processes, and much more.
Links Mentioned in the Show:
EmaConnect with SurojitSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Research InstituteAttend RADAR Skills EditionNew to DataCamp?
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Personalization is more than a buzzword—it's a powerful tool for businesses to connect with customers on a deeper level. As data and AI technologies evolve, the ability to deliver personalized experiences becomes more accessible. But what does this mean for professionals tasked with implementing these strategies? How do you ensure that personalization efforts are both effective and respectful of customer privacy?
David Edelman is a Digital and Marketing Transformation Executive Advisor, working with executives on digital and marketing transformation. He has been working in marketing and personalization since the '80s. In addition to his consultancy business, David is an Executive Teaching Fellow at Harvard Business School and a board member for several organizations. Previously, David was Chief Marketing Officer at Aetna, and a Partner at McKinsey. Forbes has repeatedly named him one of the Top 20 Most Influential Voices in Marketing, and Ad Age has named him a Top 20 Chief Marketing and Technology Officer. He is a co-author of "Personalized: Customer Strategy in the Age of AI".
In this episode, Richie and David explore the power of personalization in customer experiences, the importance of understanding customer data, strategies for effective personalization, the role of AI in enhancing customer interactions, and much more.
Links Mentioned in the Show:
Personalized: Customer Strategy in the Age of AIConnect with DavidSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYURewatch sessions from RADAR: Forward EditionNew to DataCamp?
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As multimodal AI continues to grow, professionals are exploring new skills to harness its potential. From understanding real-time APIs to navigating new application architectures, the landscape is shifting. How can developers stay ahead in this evolving field? What opportunities do AI agents present for automating tasks and enhancing productivity? And how can businesses ensure they're ready for the future of AI-driven interactions?
Russ D'Sa is the CEO & Co-founder at Livekit. Russ is building the transport layer for AI computing. He founded Livekit, the company that powers voice chat for OpenAI and Character.ai. Previously, he was a Product Manager at Medium and an engineer at Twitter. He's also a serial entrepreneur, having previously founded mobile search platform Evie Labs.
In the episode, Richie and Russ explore the evolution of voice AI, the challenges of building voice applications, the rise of video AI, the implications of deep fakes, the potential of AI-generated worlds, the future of AI in customer service and education, and much more.
Links Mentioned in the Show:
LiveKitChatGPT VoiceCourse: Developing LLM Applications with LangChainRelated Episode: Creating High Quality AI Applications with Theresa Parker & Sudhi Balan, Rocket SoftwareRewatch sessions from RADAR: Forward EditionNew to DataCamp?
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Leadership is facing unprecedented challenges in today's socio-political and economic climate. As the lines between work and personal life blur, professionals are seeking workplaces that prioritize humanity and purpose. How can leaders create environments that support employee well-being and connection? With AI's growing presence, how do we balance technological integration with maintaining a human-centered approach?
Dr. Christie Smith is a renowned leadership expert, visionary thinker, and founder of The Humanity Studio, a pioneering research and advisory institute dedicated to improving the way we live by revolutionizing the way we work. With over 35 years of experience advising Fortune 500 companies and holding global leadership roles at Accenture, Apple, and Deloitte, Dr. Smith has shaped the future of leadership, talent strategy, and organizational culture across industries.
Dr. Kelly Monahan is Managing Director of the Upwork Research Institute, leading their future of work research program. Her research has been recognized and published in both applied and academic journals, including MIT Sloan Management Review and the Journal of Strategic Management. In 2018, Kelly released her first book, “How Behavioral Economics Influences Management Decision-Making: A New Paradigm” (Academic Press/Elsevier Publishers). In 2019, Kelly gave her first TedX talk on the future of work. Kelly is frequently quoted in the media on talent decision-making and the future of work. She also has written over a dozen publications and is a sought-after speaker on how to apply new management and talent models in knowledge-based organizations. Kelly holds a B.S. from Rochester Institute of Technology, an M.S. from Roberts Wesleyan College, and a Ph.D. in Organizational Leadership from Regent University.
In the episode, Richie, Christie, and Kelly explore leadership transformations driven by crises, the rise of human-centered workplaces, the integration of AI with human intelligence, the evolving skill landscape, the emergence of gray-collar work, and much more.
Links Mentioned in the Show:
Essential: How Distributed Teams, Generative AI, and Global Shifts Are Creating a New Human-Powered LeadershipThe Humanity StudioUpwork Research InstituteConnect with Christie and KellySkill Track: AI Business FundamentalsRelated Episode: Leadership in the AI Era with Dana Maor, Senior Partner at McKinsey & CompanyRewatch sessions from RADAR: Forward EditionNew to DataCamp?
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As AI advances at breakneck speed, the conversation around its potential risks and ethical implications grows louder. For professionals in the field, this raises important questions about responsibility and foresight. How do you ensure that AI systems align with human values? What role do ethics play in the development and deployment of these technologies? Let's delve into the pressing issues that could define the future of AI and its role in society.
Dr. Christopher DiCarlo is a philosopher, educator, and author. He teaches philosophy at the University of Toronto. He also founded Critical Thinking Solutions, a business consultancy, is an Expert Advisor for the Centre for Inquiry Canada, and the Ethics Chair for the Canadian Mental Health Association. His academic work focuses on bioethics and cognitive evolution. He is the author of six books, including the bestselling "How to Become a Really Good Pain in the Ass: A Critical Thinker's Guide to Asking the Right Questions", and his latest "Building a God: The Ethics of Artificial Intelligence and the Race to Control It".
In the episode, Richie and Christopher explore the existential risks of powerful AI, ethical considerations in AI development, the importance of public awareness and involvement, the role of international regulation, and much more.
Links Mentioned in the Show:
Critical Thinking SolutionsConnect with ChristopherCourse: AI EthicsRelated Episode: Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYURewatch sessions from RADAR: Forward EditionNew to DataCamp?
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As AI continues to advance, natural language processing (NLP) is at the forefront, transforming how businesses interact with data. From chatbots to document analysis, NLP offers numerous applications. But with the advent of generative AI, professionals face new challenges: When is it appropriate to use traditional NLP techniques versus more advanced models? How do you balance the costs and benefits of these technologies? Explore the strategic decisions and practical applications of NLP in the modern business world.
Meri Nova is the founder of Break Into Data, a data careers company. Her work focuses on helping people switch to a career in data, and using machine learning to improve community engagement. Previously, she was a data scientist and machine learning engineer at Hyloc. Meri is the instructor of DataCamp's 'Retrieval Augmented Generation with LangChain' course.
In the episode, Richie and Meri explore the evolution of natural language processing, the impact of generative AI on business applications, the balance between traditional NLP techniques and modern LLMs, the role of vector stores and knowledge graphs, and the exciting potential of AI in automating tasks and decision-making, and much more.
Links Mentioned in the Show:
Meri’s Breaking Into Data Handbook on GitHubBreak Into Data Discord GroupConnect with MeriSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: Industry Roundup #2: AI Agents for Data Work, The Return of the Full-Stack Data Scientist and Old languages Make a ComebackRewatch sessions from RADAR: Forward EditionNew to DataCamp?
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2025 promises to be another transformative year for data and AI. From groundbreaking advancements in reasoning models to the rise of new challengers in generative AI, the field shows no signs of slowing down. Last week Jonathan and Martijn scored their 2024 predictions, and scored highly, but what's in store for 2025?
Building on the insights from their 2024 predictions, we'll assess the future of generative AI, the evolving role of AI in education, the growing importance of synthetic data, and much more.
In the episode, Richie, Jo, and Martijn discuss whether OpenAI and Google will maintain their dominance or face disruption from new players like Meta’s Llama and XAI’s Grok, the implications of recent breakthroughs in AI reasoning, the rise of short-form video generation AI in social media and advertising, the challenges Europe faces in keeping pace with the US and China in AI innovation and much more.
Links Mentioned in the Show:
Data & AI Trends & Predictions 2025Skill Track: AI Business FundamentalsRelated Episode: Reviewing Our Data Trends & Predictions of 2024 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn TheuwissenRewatch sessions from RADAR: Forward EditionNew to DataCamp?
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2024 was another huge year for data and AI. Generative AI continued to shape the way we work and interact with technology, with companies of all sizes racing to integrate AI into their products. We saw strides in tools like AI-enhanced data science notebooks, rapid adoption of generative image AI, and a steady march toward video generation AI. At the same time, foundational skills like AI literacy and data governance gained traction as critical areas for individuals and organizations to master.
This time last year, DataCamp Co-Founders Jonathan and Martijn made a series of predictions and data and AI for 2024, today, they join Richie to reflect on their 2024 predictions and share their vision for data and AI in 2025.
In the episode, Richie, Jonathan, and Martijn review the mainstream adoption of generative AI and its journey toward daily use, the rise of AI literacy as a critical skill, the growing overlap between data science and software engineering with the emergence of AI engineers, evolving trends in programming languages, how generative AI has moved from prototype to production, the near-mainstreaming of video generation AI, why AI hype continues to thrive and much more.
Links Mentioned in the Show:
Data & AI Trends & Predictions 2025Skill Track: AI Business FundamentalsRelated Episode: Data Trends & Predictions 2024 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn TheuwissenRewatch sessions from RADAR: Forward EditionNew to DataCamp?
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AI is not just about writing code; it's about improving the entire software development process. From generating documentation to automating code reviews, AI tools are becoming indispensable. But how do you ensure the quality of AI-generated code? What strategies can you employ to maintain high standards while leveraging AI's capabilities? These are the questions developers must consider as they incorporate AI into their workflows.
Eran Yahav is an associate professor at the Computer Science Department at the Technion – Israel Institute of Technology and co-founder and CTO of Tabnine (formerly Codota). Prior to that, he was a research staff member at the IBM T.J. Watson Research Center in New York (2004-2010). He received his Ph.D. from Tel Aviv University (2005) and his B.Sc. from the Technion in 1996. His research interests include program analysis, program synthesis, and program verification. Eran is a recipient of the prestigious Alon Fellowship for Outstanding Young Researchers, the Andre Deloro Career Advancement Chair in Engineering, the 2020 Robin Milner Young Researcher Award (POPL talk here), the ERC Consolidator Grant as well as multiple best paper awards at various conferences.
In the episode, Richie and Eran explore AI's role in software development, the balance between AI assistance and manual coding, the impact of generative AI on code review and documentation, the evolution of developer tools, and the future of AI-driven workflows, and much more.
Links Mentioned in the Show:
TabnineConnect with EranCourse: Working with the OpenAI APIRelated Episode: Getting Generative AI Into Production with Lin Qiao, CEO and Co-Founder of Fireworks AIRewatch sessions from RADAR: Forward EditionNew to DataCamp?
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