14 episodes
Data Basement Daniel Fernandez
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- Technology
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5.0 • 3 Ratings
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All things data.
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Guest Episode: The A-List Podcast w/ Anurag (LLM Privacy and Security)
In this episode from the A-List Podcast Anurag and I discuss the data privacy and security intricacies of large language models. Check out other episodes from his podcast which focuses on Fraud, Compliance, and Machine learning here https://open.spotify.com/show/4VzKE07GR8k34v0ofkHyQx.
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Featured: Machine Learning & Marketing
In this episode, we talk to Alex Makarski, engineer-turned-marketer, founder of clickmakers.io, and co-founder of measurebit.com a marketing analytics consultancy. In this episode we cover the evolution of machine learning in the marketing industry, the changes in new technologies such as Large Language Models and bringing, and the need for companies to capture and maximize the value of their data.
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Building a Data Product: The Dream Team
In this episode, we'll be sharing tips on how to attract and hire the best data analytics professionals, as well as how to retain them once they're on your team. We'll cover topics such as the key skills and qualities to look for in candidates, ways to keep your team engaged and motivated, and strategies for fostering a positive work culture. Whether you're a hiring manager or a data analytics professional looking to advance your career, this episode has something for everyone. Tune in to learn how to build and maintain a top-notch data analytics team.
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Building a Data Product: Data Assets
In this episode of Data Basement, we delve into the world of data assets and explore their importance for businesses and organizations. We'll define data assets and discuss their characteristics, including clean vs dirty data and processed vs raw data. We'll also cover the different types of data assets and how their value can vary, including data that becomes more valuable the more you collect and the longer you keep it, data that stops being valuable when you stop collecting it, and data that is always valuable. Tune in to learn more about how data assets can help inform decision-making, provide a competitive advantage, and drive business success.
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Building a Data Product: ELI5 Data Strategy
A data strategy is a plan that outlines how an organization will collect, store, use, and govern data. It includes the goals and objectives for the organization's data usage, as well as the resources and processes needed to achieve those goals. A data strategy helps an organization to align its data initiatives with its business goals and to make informed decisions about how to best use data to drive value.
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Building a Data Product: Analytics
In this episode, we explore the exciting world of building analytics products. We'll discuss the different challenges and opportunities that come with working with data, and how to approach them in a way that maximizes impact. We'll also cover key considerations for building data products, such as choosing the right data sources, cleaning and preprocessing data, and building effective algorithms and models. Whether you're a data scientist, software engineer, or simply someone interested in working with data, this episode has something for you. Tune in to learn more about building data products!
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Customer Reviews
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Daniel is genuinely passionate about technology and I've seen first hand how he immerses himself in tech, product, empathy and communication. A podcast seems like a no brainer.