2015.07.02 GJZ TSOC event IoT and Big Data. And the Privacy Act. pptxGerrit-Jan Zwenne
This document discusses the challenges that IoT, datafication, and big data pose for privacy and data protection law. It first provides definitions and background on these concepts. IoT refers to ubiquitous connectivity of devices through sensors and code. Datafication is turning many aspects of life into computerized data. Big data uses large data sets for predictive analytics.
It then gives a short overview of key privacy principles like informing individuals about personal data use, obtaining consent, and limiting data collection and usage to specified purposes. However, with big data many innovative uses cannot be envisioned up front. Also, correlation found in big data does not necessarily prove causation. These issues challenge how privacy laws can be applied to new big data
This document summarizes a presentation on big data given by Sir Mark Walport, the UK's Chief Scientific Adviser. It discusses the opportunities and risks of big data, including how it can improve health and infrastructure but also enable privacy violations. While data can be anonymized, it is difficult to fully protect privacy due to the ability to match anonymous data with other public datasets. Both utopian and dystopian futures are possible depending on how data is governed and balanced with individual privacy. Moving forward will require advances in technology, open communication, and governance measures to control data access.
This document provides an overview of big data. It defines big data as large volumes of diverse data that are growing rapidly and require new techniques to capture, store, distribute, manage, and analyze. The key characteristics of big data are volume, velocity, and variety. Common sources of big data include sensors, mobile devices, social media, and business transactions. Tools like Hadoop and MapReduce are used to store and process big data across distributed systems. Applications of big data include smarter healthcare, traffic control, and personalized marketing. The future of big data is promising with the market expected to grow substantially in the coming years.
Brief deck for the 3 most important steps on data exploration.
- Web Scraping (Import.io)
- Data Cleaning (Spreadsheets)
- Data Visualization (Tableau)
Semana de las comunicaciones 2015
This is a certificate from Google Analytics Academy for completing the course "Google Tag Manager Fundamentals". The certificate is dated 7/12/2015 and includes a unique ID number. It certifies that the individual completed all requirements for the Google Tag Manager Fundamentals course through Google Analytics Academy.
Cristian Guajardo Garcia completed the online Coursera course "The Data Scientist's Toolbox" through Johns Hopkins University with distinction. The certificate verifies Garcia's identity and participation in the 4-week non-credit course, and does not confer academic credit or official university status.
2015.07.02 GJZ TSOC event IoT and Big Data. And the Privacy Act. pptxGerrit-Jan Zwenne
This document discusses the challenges that IoT, datafication, and big data pose for privacy and data protection law. It first provides definitions and background on these concepts. IoT refers to ubiquitous connectivity of devices through sensors and code. Datafication is turning many aspects of life into computerized data. Big data uses large data sets for predictive analytics.
It then gives a short overview of key privacy principles like informing individuals about personal data use, obtaining consent, and limiting data collection and usage to specified purposes. However, with big data many innovative uses cannot be envisioned up front. Also, correlation found in big data does not necessarily prove causation. These issues challenge how privacy laws can be applied to new big data
This document summarizes a presentation on big data given by Sir Mark Walport, the UK's Chief Scientific Adviser. It discusses the opportunities and risks of big data, including how it can improve health and infrastructure but also enable privacy violations. While data can be anonymized, it is difficult to fully protect privacy due to the ability to match anonymous data with other public datasets. Both utopian and dystopian futures are possible depending on how data is governed and balanced with individual privacy. Moving forward will require advances in technology, open communication, and governance measures to control data access.
This document provides an overview of big data. It defines big data as large volumes of diverse data that are growing rapidly and require new techniques to capture, store, distribute, manage, and analyze. The key characteristics of big data are volume, velocity, and variety. Common sources of big data include sensors, mobile devices, social media, and business transactions. Tools like Hadoop and MapReduce are used to store and process big data across distributed systems. Applications of big data include smarter healthcare, traffic control, and personalized marketing. The future of big data is promising with the market expected to grow substantially in the coming years.
Brief deck for the 3 most important steps on data exploration.
- Web Scraping (Import.io)
- Data Cleaning (Spreadsheets)
- Data Visualization (Tableau)
Semana de las comunicaciones 2015
This is a certificate from Google Analytics Academy for completing the course "Google Tag Manager Fundamentals". The certificate is dated 7/12/2015 and includes a unique ID number. It certifies that the individual completed all requirements for the Google Tag Manager Fundamentals course through Google Analytics Academy.
Cristian Guajardo Garcia completed the online Coursera course "The Data Scientist's Toolbox" through Johns Hopkins University with distinction. The certificate verifies Garcia's identity and participation in the 4-week non-credit course, and does not confer academic credit or official university status.
1. La cosmética natural de origen vegetal está creciendo en Italia, representando actualmente el 4% del mercado de cosméticos. 2. Las oportunidades para productos chilenos incluyen entrar con marcas propias certificadas y proveer materia prima a fabricantes italianos. 3. Los puntos fuertes son la denominación de origen y trazabilidad, mientras que las debilidades son la falta de experiencia con certificaciones europeas y la distancia al mercado.
BigSheets is a new tool for spreadsheet-like analytics. It allows users to analyze and visualize data in an interactive web interface similar to spreadsheets like Excel. BigSheets handles large datasets better than typical spreadsheets and allows for collaboration on analyses between multiple users.
Hadoop is an open-source software framework that supports distributed processing of large datasets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Hadoop allows for the distributed processing of large data sets across clusters of commodity hardware.
This document contains information about a student named Cristian Guajardo-Garcia taking a Big Data Fundamentals course from instructor Raul Chong. The date listed is September 3, 2014, indicating when the document was created.
Cristian Guajardo-Garcia successfully completed an online course from HEC Paris titled "Understanding Europe: Why It Matters and What It Can Offer You". The course discussed critical questions about the purpose and legitimacy of the European Union, including why the EU exists, how it works, and what it can offer citizens and what citizens can do for Europe. The course was taught by Professor Alberto Alemanno, Jean Monnet Chair of EU Law and Risk Regulation at HEC Paris.
We worked for 6 months with Luxottica improving the logistics and operation for the distribution center in Europe.
Among all the MBA class 2014, we were the best OCU project, awarded by MIP Politecnico di Milano and The Luxottica Group
Cristian Guajardo-Garcia completed a six-week online course in Competitive Strategy offered by Ludwig-Maximilians-Universität München (LMU) on June 26, 2014. The course introduced game theory as a tool to systematically think about business strategy and analyze interdependencies among companies and how competitors will behave in decision making. It was taught by Professor Tobias Kretschmer of the Institute for Strategy, Technology and Organization at the Munich School of Management of LMU.
Cristian Guajardo-Garcia completed an online course through Coursera titled "The Global Business of Sports" offered by the University of Pennsylvania. The course analyzed the business aspects of sports leagues around the world and the strategies of different countries' sports industries. Students learned to understand and evaluate the business side of competitive sports globally.
El documento es un certificado de logro con distinción de Coursera para Cristian Guajardo-García por haber completado con éxito el curso "Ser más creativos" de agosto a septiembre de 2013. El curso exploró el concepto de creatividad y estrategias para promoverla, e involucró resolver desafíos de diseño y analizar propuestas propias y de compañeros.
Cristian Guajardo-Garcia successfully completed a free online course in design thinking provided by Stanford University through NovoEd. The six-week course focused on developing skills and mindsets for human-centered creative problem solving used by companies to drive innovation. The course was taught by Leticia Britos Cavagnaro of Stanford's Hasso Plattner Institute of Design.
The document analyzes the coffee industry and the performance of major companies like Starbucks, The Second Cup, Juan Valdez, Tim Hortons, and Miko from 2008-2012. It finds that Starbucks had higher revenues than the industry average and moved to a lower risk, higher shareholder value position from 2011-2012. The industry was impacted by the global economic crisis and moved between different risk quadrants. Starbucks is well-positioned for future investment due to its successful regional operating model and plans to invest in premium coffee and new equipment.
El documento habla sobre los componentes clave de un modelo de negocios. Explica que un modelo de negocios no es lo mismo que un plan de negocios y describe nueve secciones fundamentales de un modelo de negocios: 1) Segmento de clientes, 2) Propuesta de valor, 3) Canales de distribución, 4) Relación con los clientes, 5) Flujo de ingresos, 6) Recursos clave, 7) Actividades clave, 8) Socios estratégicos y 9) Estructura de costos.
This document outlines the brand building process for ChillBags. It discusses finding a solution to a problem, developing a product to address that solution, creating brand messaging and storytelling, optimizing packaging and user experience across channels, implementing ecommerce and social media, monitoring metrics, and using targeted marketing approaches. The overall goal is to build a brand that connects deeply with its target audience through an integrated approach.
El documento presenta diferentes herramientas para analizar una marca o producto desde diferentes perspectivas como el Mapa de Empatía, el Eneagrama, los Arquetipos de Jung y el análisis del producto como si fuera una persona. El objetivo es profundizar en cómo es percibido el producto/servicio por los usuarios para mejorar su posicionamiento.
Somos 7 billones en la tierra.
¿Cómo enfrentaremos el desafío que encierran nuevos puestos de trabajo, abrigo, educación y recursos limitados?
Las ideas y creatividad tienen la respuesta.
El documento resume la trayectoria profesional de Cristián Guajardo-García como traductor, publicista y experto en community management. Detalla los proyectos que ha liderado desde 2005 en adelante, incluyendo el lanzamiento de su sitio web en 2005, participar en el primer censo de Twitter Chile en 2009, y dirigir campañas para diferentes clientes entre 2010-2011. También reflexiona sobre temas como las habilidades requeridas para ser community manager, los desafíos de gestionar comunidades en redes sociales y las lecciones aprendidas en el pro
Este documento presenta una introducción a las estrategias de comunicación digital y redes sociales. Explica que las marcas deben generar valores en lugar de una propuesta de valor única. También destaca la importancia de entender el contexto actual donde los consumidores interactúan directamente con las marcas. Finalmente, enfatiza la necesidad de planificar estratégicamente una presencia en redes sociales evaluando los objetivos y las plataformas más adecuadas.
Este documento presenta una introducción al rol del Community Manager. Explica que el Community Manager es la persona encargada de interactuar con los usuarios de las redes sociales y comunidades online de una marca. Detalla algunas de las habilidades y tareas clave de este rol, como monitorear las conversaciones en línea, responder preguntas de usuarios, crear contenidos y generar informes con métricas. También presenta algunas herramientas útiles para que un Community Manager realice bien su trabajo.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
1. La cosmética natural de origen vegetal está creciendo en Italia, representando actualmente el 4% del mercado de cosméticos. 2. Las oportunidades para productos chilenos incluyen entrar con marcas propias certificadas y proveer materia prima a fabricantes italianos. 3. Los puntos fuertes son la denominación de origen y trazabilidad, mientras que las debilidades son la falta de experiencia con certificaciones europeas y la distancia al mercado.
BigSheets is a new tool for spreadsheet-like analytics. It allows users to analyze and visualize data in an interactive web interface similar to spreadsheets like Excel. BigSheets handles large datasets better than typical spreadsheets and allows for collaboration on analyses between multiple users.
Hadoop is an open-source software framework that supports distributed processing of large datasets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Hadoop allows for the distributed processing of large data sets across clusters of commodity hardware.
This document contains information about a student named Cristian Guajardo-Garcia taking a Big Data Fundamentals course from instructor Raul Chong. The date listed is September 3, 2014, indicating when the document was created.
Cristian Guajardo-Garcia successfully completed an online course from HEC Paris titled "Understanding Europe: Why It Matters and What It Can Offer You". The course discussed critical questions about the purpose and legitimacy of the European Union, including why the EU exists, how it works, and what it can offer citizens and what citizens can do for Europe. The course was taught by Professor Alberto Alemanno, Jean Monnet Chair of EU Law and Risk Regulation at HEC Paris.
We worked for 6 months with Luxottica improving the logistics and operation for the distribution center in Europe.
Among all the MBA class 2014, we were the best OCU project, awarded by MIP Politecnico di Milano and The Luxottica Group
Cristian Guajardo-Garcia completed a six-week online course in Competitive Strategy offered by Ludwig-Maximilians-Universität München (LMU) on June 26, 2014. The course introduced game theory as a tool to systematically think about business strategy and analyze interdependencies among companies and how competitors will behave in decision making. It was taught by Professor Tobias Kretschmer of the Institute for Strategy, Technology and Organization at the Munich School of Management of LMU.
Cristian Guajardo-Garcia completed an online course through Coursera titled "The Global Business of Sports" offered by the University of Pennsylvania. The course analyzed the business aspects of sports leagues around the world and the strategies of different countries' sports industries. Students learned to understand and evaluate the business side of competitive sports globally.
El documento es un certificado de logro con distinción de Coursera para Cristian Guajardo-García por haber completado con éxito el curso "Ser más creativos" de agosto a septiembre de 2013. El curso exploró el concepto de creatividad y estrategias para promoverla, e involucró resolver desafíos de diseño y analizar propuestas propias y de compañeros.
Cristian Guajardo-Garcia successfully completed a free online course in design thinking provided by Stanford University through NovoEd. The six-week course focused on developing skills and mindsets for human-centered creative problem solving used by companies to drive innovation. The course was taught by Leticia Britos Cavagnaro of Stanford's Hasso Plattner Institute of Design.
The document analyzes the coffee industry and the performance of major companies like Starbucks, The Second Cup, Juan Valdez, Tim Hortons, and Miko from 2008-2012. It finds that Starbucks had higher revenues than the industry average and moved to a lower risk, higher shareholder value position from 2011-2012. The industry was impacted by the global economic crisis and moved between different risk quadrants. Starbucks is well-positioned for future investment due to its successful regional operating model and plans to invest in premium coffee and new equipment.
El documento habla sobre los componentes clave de un modelo de negocios. Explica que un modelo de negocios no es lo mismo que un plan de negocios y describe nueve secciones fundamentales de un modelo de negocios: 1) Segmento de clientes, 2) Propuesta de valor, 3) Canales de distribución, 4) Relación con los clientes, 5) Flujo de ingresos, 6) Recursos clave, 7) Actividades clave, 8) Socios estratégicos y 9) Estructura de costos.
This document outlines the brand building process for ChillBags. It discusses finding a solution to a problem, developing a product to address that solution, creating brand messaging and storytelling, optimizing packaging and user experience across channels, implementing ecommerce and social media, monitoring metrics, and using targeted marketing approaches. The overall goal is to build a brand that connects deeply with its target audience through an integrated approach.
El documento presenta diferentes herramientas para analizar una marca o producto desde diferentes perspectivas como el Mapa de Empatía, el Eneagrama, los Arquetipos de Jung y el análisis del producto como si fuera una persona. El objetivo es profundizar en cómo es percibido el producto/servicio por los usuarios para mejorar su posicionamiento.
Somos 7 billones en la tierra.
¿Cómo enfrentaremos el desafío que encierran nuevos puestos de trabajo, abrigo, educación y recursos limitados?
Las ideas y creatividad tienen la respuesta.
El documento resume la trayectoria profesional de Cristián Guajardo-García como traductor, publicista y experto en community management. Detalla los proyectos que ha liderado desde 2005 en adelante, incluyendo el lanzamiento de su sitio web en 2005, participar en el primer censo de Twitter Chile en 2009, y dirigir campañas para diferentes clientes entre 2010-2011. También reflexiona sobre temas como las habilidades requeridas para ser community manager, los desafíos de gestionar comunidades en redes sociales y las lecciones aprendidas en el pro
Este documento presenta una introducción a las estrategias de comunicación digital y redes sociales. Explica que las marcas deben generar valores en lugar de una propuesta de valor única. También destaca la importancia de entender el contexto actual donde los consumidores interactúan directamente con las marcas. Finalmente, enfatiza la necesidad de planificar estratégicamente una presencia en redes sociales evaluando los objetivos y las plataformas más adecuadas.
Este documento presenta una introducción al rol del Community Manager. Explica que el Community Manager es la persona encargada de interactuar con los usuarios de las redes sociales y comunidades online de una marca. Detalla algunas de las habilidades y tareas clave de este rol, como monitorear las conversaciones en línea, responder preguntas de usuarios, crear contenidos y generar informes con métricas. También presenta algunas herramientas útiles para que un Community Manager realice bien su trabajo.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/