Brand Leadership Community jomar@brandleadership.community https://117v6v.videomarketingplatform.co en-us Visualplatform http://blogs.law.harvard.edu/tech/rss Brand Leadership Community episodic no https://117v6v.videomarketingplatform.co/files/rv1.51/sitelogo.gif https://117v6v.videomarketingplatform.co http://blc.twentythree.com/analyticsdevnet-webcast-featuring-5 <p><h1><a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> Webcast</h1><h1>Episode 02</h1><h3>Guest: Fosca Fimiani</h3><h2>Episode Introduction</h2><p>What does it take to make analytics useful, from the first implementation decision to the moment someone acts on the results?</p> <p>In Episode 04 of the <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> Webcast Series, Fosca Fimiani joins Gunnar Griese, Steen Rasmussen, and Jomar Reyes for a conversation that spans analytics strategy, CRO, data visualisation, statistical methods, and the tools changing how practitioners work. The episode also offers a preview of the ideas Fosca will bring to <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> in Copenhagen on 17 March 2027.</p> <h2>About Fosca Fimiani</h2><p>Fosca brings 15 years of experience across analytics. Her work spans conversion rate optimisation, data visualisation, implementation, strategy, and team leadership, giving her a view of how technical choices connect to business questions and decisions.</p> <p>That breadth makes her a valuable voice in a field where the people defining a measurement strategy and the people building it do not always work closely together.</p> <h2>Episode Focus</h2><p>The conversation begins with Fosca’s path through analytics and what her experience across different disciplines has taught her about making data useful. From there, the group will explore the relationship between strategy and implementation, what CRO reveals about human behaviour, and why clear data visualisation takes more than a polished chart.</p> <p>They will also get into the technical questions shaping current analytics work: where MCPs may be useful in practice, which statistical methods deserve more attention, and how to choose between today’s analytics platforms. Finally, Fosca will share how AI is changing her day-to-day work and which skills she believes analysts will need most as those tools develop.</p> <h2>Why Attend Live</h2><p>This is a chance to hear Fosca discuss both the strategic and technical sides of analytics, with room for follow-up questions and input from the audience. If you work in measurement, analytics implementation, CRO, data engineering, or analytics strategy, join us to explore the practical choices behind better analysis and get an early look at Fosca’s <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> 2027 perspective.</p> <h2>About the <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> Webcast Series</h2><p>The <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> Webcast Series brings together technical analytics practitioners, analytics engineers, data engineers, AI engineers, marketing technologists, and advanced digital analysts for live conversations about modern measurement and implementation practice.</p> <p>Hosted by Gunnar Griese, the series connects speakers and the wider community ahead of <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> in Copenhagen. Each episode leaves room for practical examples, live questions, and perspectives that continue beyond the webcast.</p> </p><p><a href="http://blc.twentythree.com/analyticsdevnet-webcast-featuring-5"><img src="http://blc.twentythree.com/64968559/132635237/49bf7ad091c4e9bbdfe09cb90aa85ee6/standard/download-20-thumbnail.jpg" width="600" height="338"/></a></p> http://blc.twentythree.com/photo/132635237 Wed, 21 Oct 2026 14:10:25 GMT AnalyticsDev.Net Webcast Featuring Fosca Fimiani AnalyticsDev.net WebcastEpisode 02Guest: Fosca FimianiEpisode IntroductionWhat does it take to make analytics useful, from the first implementation decision to the moment someone acts on the results? In Episode 04 of the AnalyticsDev.net Webcast Series, Fosca Fimiani joins Gunnar Griese, Steen Rasmussen, and Jomar Reyes for a conversation that spans analytics strategy, CRO, data visualisation, statistical methods, and the tools changing how practitioners work. The episode also offers a preview of the ideas Fosca will bring to AnalyticsDev.net in Copenhagen on 17 March 2027. About Fosca FimianiFosca brings 15 years of experience across analytics. Her work spans conversion rate optimisation, data visualisation, implementation, strategy, and team leadership, giving her a view of how technical choices connect to business questions and decisions. That breadth makes her a valuable voice in a field where the people defining a measurement strategy and the people building it do not always work closely together. Episode FocusThe conversation begins with Fosca’s path through analytics and what her experience across different disciplines has taught her about making data useful. From there, the group will explore the relationship between strategy and implementation, what CRO reveals about human behaviour, and why clear data visualisation takes more than a polished chart. They will also get into the technical questions shaping current analytics work: where MCPs may be useful in practice, which statistical methods deserve more attention, and how to choose between today’s analytics platforms. Finally, Fosca will share how AI is changing her day-to-day work and which skills she believes analysts will need most as those tools develop. Why Attend LiveThis is a chance to hear Fosca discuss both the strategic and technical sides of analytics, with room for follow-up questions and input from the audience. If you work in measurement, analytics implementation, CRO, data engineering, or analytics strategy, join us to explore the practical choices behind better analysis and get an early look at Fosca’s AnalyticsDev.net 2027 perspective. About the AnalyticsDev.net Webcast SeriesThe AnalyticsDev.net Webcast Series brings together technical analytics practitioners, analytics engineers, data engineers, AI engineers, marketing technologists, and advanced digital analysts for live conversations about modern measurement and implementation practice. Hosted by Gunnar Griese, the series connects speakers and the wider community ahead of AnalyticsDev.net in Copenhagen. Each episode leaves room for practical examples, live questions, and perspectives that continue beyond the webcast. AnalyticsDev.net WebcastEpisode 02Guest: Fosca FimianiEpisode IntroductionWhat does it take to make analytics useful, from the first implementation decision to the moment someone acts on the results? In Episode 04 of the AnalyticsDev.net Webcast... Brand Leadership Community 43:00 <p><h1><a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> Webcast</h1><h1>Episode 02</h1><h3>Guest: Fosca Fimiani</h3><h2>Episode Introduction</h2><p>What does it take to make analytics useful, from the first implementation decision to the moment someone acts on the results?</p> <p>In Episode 04 of the <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> Webcast Series, Fosca Fimiani joins Gunnar Griese, Steen Rasmussen, and Jomar Reyes for a conversation that spans analytics strategy, CRO, data visualisation, statistical methods, and the tools changing how practitioners work. The episode also offers a preview of the ideas Fosca will bring to <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> in Copenhagen on 17 March 2027.</p> <h2>About Fosca Fimiani</h2><p>Fosca brings 15 years of experience across analytics. Her work spans conversion rate optimisation, data visualisation, implementation, strategy, and team leadership, giving her a view of how technical choices connect to business questions and decisions.</p> <p>That breadth makes her a valuable voice in a field where the people defining a measurement strategy and the people building it do not always work closely together.</p> <h2>Episode Focus</h2><p>The conversation begins with Fosca’s path through analytics and what her experience across different disciplines has taught her about making data useful. From there, the group will explore the relationship between strategy and implementation, what CRO reveals about human behaviour, and why clear data visualisation takes more than a polished chart.</p> <p>They will also get into the technical questions shaping current analytics work: where MCPs may be useful in practice, which statistical methods deserve more attention, and how to choose between today’s analytics platforms. Finally, Fosca will share how AI is changing her day-to-day work and which skills she believes analysts will need most as those tools develop.</p> <h2>Why Attend Live</h2><p>This is a chance to hear Fosca discuss both the strategic and technical sides of analytics, with room for follow-up questions and input from the audience. If you work in measurement, analytics implementation, CRO, data engineering, or analytics strategy, join us to explore the practical choices behind better analysis and get an early look at Fosca’s <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> 2027 perspective.</p> <h2>About the <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> Webcast Series</h2><p>The <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> Webcast Series brings together technical analytics practitioners, analytics engineers, data engineers, AI engineers, marketing technologists, and advanced digital analysts for live conversations about modern measurement and implementation practice.</p> <p>Hosted by Gunnar Griese, the series connects speakers and the wider community ahead of <a target="_blank" rel="noopener noreferrer nofollow" href="http://AnalyticsDev.net">AnalyticsDev.net</a> in Copenhagen. Each episode leaves room for practical examples, live questions, and perspectives that continue beyond the webcast.</p> </p><p><a href="http://blc.twentythree.com/analyticsdevnet-webcast-featuring-5"><img src="http://blc.twentythree.com/64968559/132635237/49bf7ad091c4e9bbdfe09cb90aa85ee6/standard/download-20-thumbnail.jpg" width="600" height="338"/></a></p> http://blc.twentythree.com/analytics-in-the-age-of-ai-why <p><h2>When answers become cheap, expertise becomes more important</h2><p>The first episode of the Analytics DevNet Webcast tackles one of the biggest questions facing analytics professionals today: <strong>what happens to expertise when AI can increasingly generate code, analysis and answers almost instantly?</strong></p><p>With analytics specialist and educator Simo Ahava joining Gunnar Griese, Steen Rasmussen and Jomar Reyes, the conversation moves beyond simple predictions about whether AI will replace analysts. Instead, it examines what practitioners need to understand if they are going to use AI responsibly and remain valuable as the technology evolves.</p><p>A central concern is the growing temptation to skip the difficult parts of learning. AI can already produce JavaScript, SQL, tagging configurations and explanations that previously required technical expertise. Simo acknowledges the productivity benefits, but argues that manually working through problems builds the mental models required to recognise when something is wrong.</p><p>That ability to question an apparently confident answer becomes increasingly important as AI-generated information spreads faster through organisations.</p><h2>The fundamentals have not disappeared</h2><p>Despite rapid technological change, much of the underlying work of analytics remains familiar.</p><p>Reliable measurement still depends on data quality, correct implementation, sound technical foundations and an understanding of what the organisation is actually trying to achieve. AI may accelerate parts of this process, but it does not remove the need for good inputs or human validation.</p><p>The discussion repeatedly returns to the principle that modelling and synthetic data cannot compensate indefinitely for weak real-world data.</p><p>Simo's position is therefore not anti-AI. He highlights useful applications including infrastructure optimisation, anomaly detection and reducing repetitive technical work. The argument is instead that AI should remove low-value effort while freeing practitioners to focus on more meaningful problems.</p><h2>Analytics is also an organisational discipline</h2><p>The conversation broadens into a critique of how organisations use analytics.</p><p>For decades, companies have invested in analytics while often separating analysts from the teams making everyday business decisions. Steen raises the problem of data becoming "negotiable" when stakeholders seek numbers that support an existing narrative.</p><p>Simo argues that analytics should not simply function as an answer-producing department. Data becomes valuable when it is integrated into organisational processes and decision-making.</p><p>The episode closes by connecting this philosophy to Analytics Dev itself. In a world where information and answers are increasingly available on demand, the hosts argue that <strong>interaction, peer learning and community become more valuable, not less.</strong></p><h3>Key Takeaway</h3><p>AI can make analytics faster, but speed alone does not create expertise. The practitioners who remain valuable will be those who combine AI fluency with strong technical foundations, critical thinking, sound data practices and the ability to connect analytics with real organisational decisions.</p></p><p><a href="http://blc.twentythree.com/analytics-in-the-age-of-ai-why"><img src="http://blc.twentythree.com/64968567/130975359/2a30e940b7c037c1c8bee9bfd4047fae/standard/download-22-thumbnail.jpg" width="600" height="338"/></a></p> http://blc.twentythree.com/photo/130975359 Mon, 31 Aug 2026 07:48:08 GMT Analytics in the Age of AI: Why Fundamentals Still Matter. Featuring Simo Ahava When answers become cheap, expertise becomes more importantThe first episode of the Analytics DevNet Webcast tackles one of the biggest questions facing analytics professionals today: what happens to expertise when AI can increasingly generate code, analysis and answers almost instantly?With analytics specialist and educator Simo Ahava joining Gunnar Griese, Steen Rasmussen and Jomar Reyes, the conversation moves beyond simple predictions about whether AI will replace analysts. Instead, it examines what practitioners need to understand if they are going to use AI responsibly and remain valuable as the technology evolves.A central concern is the growing temptation to skip the difficult parts of learning. AI can already produce JavaScript, SQL, tagging configurations and explanations that previously required technical expertise. Simo acknowledges the productivity benefits, but argues that manually working through problems builds the mental models required to recognise when something is wrong.That ability to question an apparently confident answer becomes increasingly important as AI-generated information spreads faster through organisations.The fundamentals have not disappearedDespite rapid technological change, much of the underlying work of analytics remains familiar.Reliable measurement still depends on data quality, correct implementation, sound technical foundations and an understanding of what the organisation is actually trying to achieve. AI may accelerate parts of this process, but it does not remove the need for good inputs or human validation.The discussion repeatedly returns to the principle that modelling and synthetic data cannot compensate indefinitely for weak real-world data.Simo's position is therefore not anti-AI. He highlights useful applications including infrastructure optimisation, anomaly detection and reducing repetitive technical work. The argument is instead that AI should remove low-value effort while freeing practitioners to focus on more meaningful problems.Analytics is also an organisational disciplineThe conversation broadens into a critique of how organisations use analytics.For decades, companies have invested in analytics while often separating analysts from the teams making everyday business decisions. Steen raises the problem of data becoming "negotiable" when stakeholders seek numbers that support an existing narrative.Simo argues that analytics should not simply function as an answer-producing department. Data becomes valuable when it is integrated into organisational processes and decision-making.The episode closes by connecting this philosophy to Analytics Dev itself. In a world where information and answers are increasingly available on demand, the hosts argue that interaction, peer learning and community become more valuable, not less.Key TakeawayAI can make analytics faster, but speed alone does not create expertise. The practitioners who remain valuable will be those who combine AI fluency with strong technical foundations, critical thinking, sound data practices and the ability to connect analytics with real organisational decisions. When answers become cheap, expertise becomes more importantThe first episode of the Analytics DevNet Webcast tackles one of the biggest questions facing analytics professionals today: what happens to expertise when AI can increasingly generate... Brand Leadership Community 48:38 <p><h2>When answers become cheap, expertise becomes more important</h2><p>The first episode of the Analytics DevNet Webcast tackles one of the biggest questions facing analytics professionals today: <strong>what happens to expertise when AI can increasingly generate code, analysis and answers almost instantly?</strong></p><p>With analytics specialist and educator Simo Ahava joining Gunnar Griese, Steen Rasmussen and Jomar Reyes, the conversation moves beyond simple predictions about whether AI will replace analysts. Instead, it examines what practitioners need to understand if they are going to use AI responsibly and remain valuable as the technology evolves.</p><p>A central concern is the growing temptation to skip the difficult parts of learning. AI can already produce JavaScript, SQL, tagging configurations and explanations that previously required technical expertise. Simo acknowledges the productivity benefits, but argues that manually working through problems builds the mental models required to recognise when something is wrong.</p><p>That ability to question an apparently confident answer becomes increasingly important as AI-generated information spreads faster through organisations.</p><h2>The fundamentals have not disappeared</h2><p>Despite rapid technological change, much of the underlying work of analytics remains familiar.</p><p>Reliable measurement still depends on data quality, correct implementation, sound technical foundations and an understanding of what the organisation is actually trying to achieve. AI may accelerate parts of this process, but it does not remove the need for good inputs or human validation.</p><p>The discussion repeatedly returns to the principle that modelling and synthetic data cannot compensate indefinitely for weak real-world data.</p><p>Simo's position is therefore not anti-AI. He highlights useful applications including infrastructure optimisation, anomaly detection and reducing repetitive technical work. The argument is instead that AI should remove low-value effort while freeing practitioners to focus on more meaningful problems.</p><h2>Analytics is also an organisational discipline</h2><p>The conversation broadens into a critique of how organisations use analytics.</p><p>For decades, companies have invested in analytics while often separating analysts from the teams making everyday business decisions. Steen raises the problem of data becoming "negotiable" when stakeholders seek numbers that support an existing narrative.</p><p>Simo argues that analytics should not simply function as an answer-producing department. Data becomes valuable when it is integrated into organisational processes and decision-making.</p><p>The episode closes by connecting this philosophy to Analytics Dev itself. In a world where information and answers are increasingly available on demand, the hosts argue that <strong>interaction, peer learning and community become more valuable, not less.</strong></p><h3>Key Takeaway</h3><p>AI can make analytics faster, but speed alone does not create expertise. The practitioners who remain valuable will be those who combine AI fluency with strong technical foundations, critical thinking, sound data practices and the ability to connect analytics with real organisational decisions.</p></p><p><a href="http://blc.twentythree.com/analytics-in-the-age-of-ai-why"><img src="http://blc.twentythree.com/64968567/130975359/2a30e940b7c037c1c8bee9bfd4047fae/standard/download-22-thumbnail.jpg" width="600" height="338"/></a></p> analyticsdev.net Webcast