Modern Data Stacks

FromData Skeptic

Start listening View podcast show

Modern Data Stacks

FromData Skeptic

ratings:

Length:

35 minutes

Released:

May 26, 2022

Format:

Podcast episode

Description

Today, we are joined by Alexander Thor, a Product Manager at Vizlib, makers of Astrato. Astrato is a data analytics and business intelligence tool built on the cloud and for the cloud. Alexander discusses the features and capabilities of Astrato for data professionals.

Released:

May 26, 2022

Format:

Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.

Skip carousel

[MINI] type i / type ii errors: In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii errors (a.k.a. false positives and false negatives). by Data Skeptic
11 min listen
[MINI] Bayesian Updating: In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most likely hypothesis might be true given one's older / prior belief and all new evidence. by Data Skeptic
11 min listen
[MINI] Monkeys on Typewriters: What is randomness? How can we determine if some results are randomly generated or not? Why are random numbers important to us in our everyday life? These topics and more are discussed in this mini-episode on random numbers. Many readers will be... by Data Skeptic
3 min listen
[MINI] Decision Tree Learning: Linhda and Kyle talk about Decision Tree Learning in this miniepisode. Decision Tree Learning is the algorithmic process of trying to generate an optimal decision tree to properly classify or forecast some future unlabeled element based by... by Data Skeptic
13 min listen
Contest Announcement: The Data Skeptic Podcast is launching a contest- not one of chance, but one of skill. Listeners are encouraged to put their data science skills to good use, or if all else fails, guess! The contest works as follows. Below is some data about the... by Data Skeptic
12 min listen
Streetlight Outage and Crime Rate Analysis with Zach Seeskin: This episode features a discussion with statistics PhD student Zach Seeskin about a project he was involved in as part of the Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship. The project involved exploring the... by Data Skeptic
33 min listen
Introduction: The Data Skeptic Podcast features conversations with topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the... by Data Skeptic
4 min listen
Data in Healthcare IT with Shahid Shah: Our guest this week is Shahid Shah. Shahid is CEO at Netspective, and writes three blogs: Health Care Guy, Shahid Shah, and HitSphere - the Healthcare IT Supersite. During the program, Kyle recommended a talk from the 2014 MIT Sloan CIO Symposium... by Data Skeptic
57 min listen
Advertising Attribution with Nathan Janos: A conversation with Convertro's Nathan Janos about methodologies used to help advertisers understand the affect each of their marketing efforts (print, SEM, display, skywriting, etc.) contributes to their overall return. by Data Skeptic
76 min listen
[MINI] p-values: In this mini, we discuss p-values and their use in hypothesis testing, in the context of an hypothetical experiment on plant flowering, and end with a reference to the Particle Fever documentary and how statistical significance played a role. by Data Skeptic
17 min listen
[MINI] Noise!!: Our topic for this week is "noise" as in signal vs. noise. This is not a signal processing discussions, but rather a brief introduction to how the work noise is used to describe how much information in a dataset is useless (as opposed to... by Data Skeptic
16 min listen
[MINI] Confidence Intervals: Commute times and BBQ invites help frame a discussion about the statistical concept of confidence intervals. by Data Skeptic
12 min listen
[MINI] Ant Colony Optimization: In this week's mini episode, Linhda and Kyle discuss Ant Colony Optimization - a numerical / stochastic optimization technique which models its search after the process ants employ in using random walks to find a goal (food) and then leaving a... by Data Skeptic
15 min listen
Guerilla Skepticism on Wikipedia with Susan Gerbic: Our guest this week is Susan Gerbic. Susan is a skeptical activist involved in many activities, the one we focus on most in this episode is Guerrilla Skepticism on Wikipedia, an organization working to improve the content and citations of... by Data Skeptic
70 min listen
[MINI] Cross Validation: This miniepisode discusses the technique called Cross Validation - a process by which one randomly divides up a dataset into numerous small partitions. Next, (typically) one is held out, and the rest are used to train some model. The hold out set can... by Data Skeptic
1 min listen
The Right (big data) Tool for the Job with Jay Shankar: In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar. The episode explores approaches and design philosophy to solving real world big data business problems, and the exploration of the wide... by Data Skeptic
50 min listen
Game Science Dice with Louis Zocchi: In this bonus episode, guest Louis Zocchi discusses his background in the gaming industry, specifically, how he became a manufacturer of dice designed to produce statistically uniform outcomes. During the show Louis mentioned a two part video... by Data Skeptic
47 min listen
[MINI] Value of Information: A discussion about getting ready in the morning, negotiating a used car purchase, and selecting the best AirBnB place to stay at help frame a conversation about the decision theoretic principal known as the Value of Information equation. by Data Skeptic
14 min listen
[MINI] Selection Bias: A discussion about conducting US presidential election polls helps frame a converation about selection bias. by Data Skeptic
15 min listen
Data Myths with Karl Mamer: Black out baby boom | Subliminal messages | Beer and Diapers by Data Skeptic
48 min listen
Personalized Medicine with Niki Athanasiadou: In the second full length episode of the podcast, we discuss the current state of personalized medicine and the advancements in genetics that have made it possible. by Data Skeptic
57 min listen
[MINI] Experimental Design: This episode loosely explores the topic of Experimental Design including hypothesis testing, the importance of statistical tests, and an everyday and business example. by Data Skeptic
16 min listen
The Secret and the Global Consciousness Project with Alex Boklin: I'm joined this week by Alex Boklin to explore the topic of magical thinking especially in the context of Rhonda Byrne's "The Secret", and the similarities it bears to The Global Consciousness Project (GCP). The GCP puts forward the hypothesis that... by Data Skeptic
42 min listen
Data Science at ZestFinance with Marick Sinay: Marick Sinay from ZestFianance is our guest this weel. This episode explores how data science techniques are applied in the financial world, specifically in assessing credit worthiness. by Data Skeptic
31 min listen
Mining the Social Web with Matthew Russell: This week's episode explores the possibilities of extracting novel insights from the many great social web APIs available. Matthew Russell's Mining the Social Web is a fantastic exploration of the tools and methods, and we explore a few... by Data Skeptic
50 min listen
[MINI] The T-Test: The t-test is this week's mini-episode topic. The t-test is a statistical testing procedure used to determine if the mean of two datasets differs by a statistically significant amount. We discuss how a wine manufacturer might apply a t-test to... by Data Skeptic
17 min listen
Easily Fooling Deep Neural Networks: My guest this week is Anh Nguyen, a PhD student at the University of Wyoming working in the Evolving AI lab. The episode discusses the paper Deep Neural Networks are Easily Fooled [pdf] by Anh Nguyen, Jason Yosinski, and Jeff Clune. It... by Data Skeptic
28 min listen
Practicing and Communicating Data Science with Jeff Stanton: Jeff Stanton joins me in this episode to discuss his book An Introduction to Data Science, and some of the unique challenges and issues faced by someone doing applied data science. A challenge to any data scientist is making sure they have a... by Data Skeptic
37 min listen
[MINI] k-means clustering: The k-means clustering algorithm is an algorithm that computes a deterministic label for a given "k" number of clusters from an n-dimensional datset. This mini-episode explores how Yoshi, our lilac crowned amazon's biological processes might be... by Data Skeptic
14 min listen
[MINI] The Battle of the Sexes: Love and Data is the continued theme in this mini-episode as we discuss the game theory example of The Battle of the Sexes. In this textbook example, a couple must strategize about how to spend their Friday night. One partner prefers football games... by Data Skeptic
18 min listen

More Episodes from Data Skeptic

Skip carousel

Bioinspired Engineering: Brian Taylor shares his research on magnetoreception. Animals like birds and sea turtles use magnetoreception to use the Earth’s magnetic field for navigation, but it’s not a sense that’s well understood. Brian uses animal magnetoreception to... by Data Skeptic
38 min listen
Modelling Evolution: Modeling evolutionary processes goes way beyond the Hardy-Weinberg Equilibrium we all learned in biology class. Natural selection comes from many sources like resources availability, mate preferences, competition. Modeling entire populations of... by Data Skeptic
41 min listen
Behavioral Genetics: It’s almost impossible to think about animal behavior without thinking of dogs! Our canine friends are a subspecies of wolf that has been co-evolving with us for tens of thousands of years. The transition from wolf to pet has required intense... by Data Skeptic
47 min listen
Signal in the Noise: In this episode, we are joined by Barbara Webb and Anna Hadjitofi. Barbara runs the Insect Robotics lab at the University of Edinburgh, and Anna is a PhD student at the School of Informatics at the university. She is interested in studying and... by Data Skeptic
42 min listen
Pose Tracking: Many researchers and students have painstakingly labeled precise details about the body positions of the creatures they study. Can AI be used for this labeling? Of course it can! Today's episode discusses Social LEAP Estimates Animal Poses (SLEAP), a... by Data Skeptic
51 min listen
Modeling Group Behavior: Our guest in this episode is Sebastien Motsch, an assistant professor at Arizona State University, working in the School of Mathematical and Statistical Science. He works on modeling self-organized biological systems to understand how complex patterns... by Data Skeptic
41 min listen
Advances in Data Loggers: Our guest in this episode is Ryan Hanscom. Ryan is a Ph.D. candidate in a joint doctoral evolution program at San Diego State University and the University of California, Riverside. He is a terrestrial ecologist with a focus on herpetology and... by Data Skeptic
36 min listen
What You Know About Intelligence is Wrong (fixed): We are joined by Hank Schlinger, a professor of psychology at California State University, Los Angeles. His research revolves around theoretical issues in psychology and behavioral analysis. Hank establishes that words have references and... by Data Skeptic
42 min listen
Animal Decision Making: On today’s episode, we are joined by Aimee Dunlap. Aimee is an assistant professor at the University of Missouri–St. Louis and the interim director at the Whitney R. Harris World Ecology Center. Aimee discussed how animals perceive information and... by Data Skeptic
37 min listen
Octopus Cognition: We are joined by Tamar Gutnick, a visiting professor at the University of Naples Federico II, Napoli, Italy. She studies the octopus nervous system and their behavior, focusing on cognition and learning behaviors. Tamar gave a background to the kind... by Data Skeptic
38 min listen
Optimal Foraging: Claire Hemmingway, an assistant professor in the Department of Psychology and Ecology and Evolutionary Biology at the University of Tennessee in Knoxville, is our guest today. Her research is on decision-making in animal cognition, focusing on... by Data Skeptic
38 min listen
Memory in Chess: On today’s show, we are joined by our co-host, Becky Hansis-O’Neil. Becky is a Ph.D. student at the University of Missouri, St Louis, where she studies bumblebees and tarantulas to understand their learning and cognitive work. She joins us... by Data Skeptic
49 min listen
OpenWorm: On this episode, we are joined by Stephen Larson, the CEO of MetaCell and an affiliate of the OpenWorm foundation. Stephen discussed what the Openworm project is about. They hope to use a digital C. elegans nematode (C. elegans for... by Data Skeptic
34 min listen
What the Antlion Knows: Our guest is Becky Hansis-O’Neil, a Ph.D. student at the University of Missouri, St Louis, and our co-host for the new "Animal Intelligence" season. Becky shares her background on how she got into the field of behavioral intelligence and biology. by Data Skeptic
42 min listen
AI Roundtable: Kyle is joined by friends and former guests Pramit Choudhary and Frank Bell to have an open discussion of the impacts LLMs and machine learning have had in the past year on industry, and where things may go in the current year. by Data Skeptic
51 min listen
Uncontrollable AI Risks: We are joined by Darren McKee, a Policy Advisor and the host of Reality Check — a critical thinking podcast. Darren gave a background about himself and how he got into the AI space. Darren shared his thoughts on AGI's achievements in the coming... by Data Skeptic
39 min listen
I LLM and You Can Too: It took a massive financial investment for the first large language models (LLMs) to be created. Did their corporate backers lock these tools away for all but the richest? No. They provided comodity priced API options for using... by Data Skeptic
24 min listen
Q&A with Kyle: We celebrate episode 1000000000 with some Q&A from host Kyle Polich. We boil this episode down to four key questions: 1) How do you find guests 2) What is Data Skeptic all about? 3) What is Kyle all about? 4) What are Kyle's thoughts on AGI?... by Data Skeptic
40 min listen
LLMs for Data Analysis: In this episode, we are joined by Amir Netz, a Technical Fellow at Microsoft and the CTO of Microsoft Fabric. He discusses how companies can use Microsoft's latest tools for business intelligence. Amir started by discussing how business intelligence... by Data Skeptic
29 min listen
AI Platforms: Our guest today is Eric Boyd, the Corporate Vice President of AI at Microsoft. Eric joins us to share how organizations can leverage AI for faster development. Eric shared the benefits of using natural language to build products. He discussed the... by Data Skeptic
34 min listen
Deploying LLMs: We are excited to be joined by Aaron Reich and Priyanka Shah. Aaron is the CTO at Avanade, while Priyanka leads their AI/IoT offering for the SEA Region. Priyanka is also the MVP for Microsoft AI. They join us to discuss how LLMs are deployed in... by Data Skeptic
35 min listen
A Survey Assessing Github Copilot: In this episode, we are joined by Jenny Liang, a PhD student at Carnegie Mellon University, where she studies the usability of code generation tools. She discusses her recent survey on the usability of AI programming assistants. Jenny discussed the... by Data Skeptic
26 min listen
Program Aided Language Models: We are joined by Aman Madaan and Shuyan Zhou. They are both PhD students at the Language Technology Institute at Carnegie Mellon University. They join us to discuss their latest published paper, PAL: Program-aided Language Models. Aman and Shuyan... by Data Skeptic
32 min listen
Which Programming Language is ChatGPT Best At: In this episode, we have Alessio Buscemi, a software engineer at Lifeware SA. Alessio was a post-doctoral researcher at the University of Luxembourg. He joins us to discuss his paper, A Comparative Study of Code Generation using ChatGPT 3.5 across 10... by Data Skeptic
40 min listen
GraphText: On the show today, we are joined by Jianan Zhao, a Computer Science student at Mila and the University of Montreal. His research focus is on graph databases and natural language processing. He joins us to discuss how to use graphs with LLMs... by Data Skeptic
31 min listen
arXiv Publication Patterns: Today, we are joined by Rajiv Movva, a PhD student in Computer Science at Cornell Tech University. His research interest lies in the intersection of responsible AI and computational social science. He joins to discuss the findings of this work that... by Data Skeptic
28 min listen
Do LLMs Make Ethical Choices: We are excited to be joined by Josh Albrecht, the CTO of Imbue. Imbue is a research company whose mission is to create AI agents that are more robust, safer, and easier to use. He joins us to share findings of his work; Despite "super-human"... by Data Skeptic
29 min listen
Emergent Deception in LLMs: On today’s show, we are joined by Thilo Hagendorff, a Research Group Leader of Ethics of Generative AI at the University of Stuttgart. He joins us to discuss his research, . Thilo discussed how machine psychology is useful in machine learning... by Data Skeptic
27 min listen
Agents with Theory of Mind Play Hanabi: Nieves Montes, a Ph.D. student at the Artificial Intelligence Research Institute in Barcelona, Spain, joins us. Her PhD research revolves around value-based reasoning in relation to norms. She shares her latest study, Combining theory of mind and... by Data Skeptic
38 min listen

Related podcast episodes

Skip carousel

What is Cloud-Based Product Design?: As the world becomes increasingly connected through the cloud, product development tools must adapt to make life easier and more efficient for designers. But what is cloud-based product development? How does it work? And how can I take advantage of... by CXOTalk
19 min listen
Adding An Easy Mode For The Modern Data Stack With 5X: The "modern data stack" promised a scalable, composable data platform that gave everyone the flexibility to use the best tools for every job. The reality was that it left data teams in the position of spending all of their engineering effort on integrating systems that weren't designed with compatible user experiences. The team at 5X understand the pain involved and the barriers to productivity and set out to solve it by pre-integrating the best tools from each layer of the stack. In this episode founder Tarush Aggarwal explains how the realities of the modern data stack are impacting data teams and the work that they are doing to accelerate time to value. by Data Engineering Podcast
56 min listen
EP 190 - Transitioning from CAPEX to OPEX-based Offerings with IoT: Today, we have as our guest, who serves as the Chief Technology Officer at . Relayr provides comprehensive industrial IoT solutions and data-powered financial services to assist their customers in their transition towards Equipment-as-a-Service. With... by Industrial IoT Spotlight
41 min listen
2411: Behind the Seams: The Technology Driving Carhartt's Success: In this episode of Tech Talks Daily, we are rolling up our sleeves and diving deep into the fascinating world of Carhartt, a company renowned for its high-quality, durable workwear. This time, we're not focusing on the fabric but the technology that... by The Tech Talks Daily Podcast
15 min listen
Unlocking Your dbt Projects With Practical Advice For Practitioners: The dbt project has become overwhelmingly popular across analytics and data engineering teams. While it is easy to adopt, there are many potential pitfalls. Dustin Dorsey and Cameron Cyr co-authored a practical guide to building your dbt project. In this episode they share their hard-won wisdom about how to build and scale your dbt projects. by Data Engineering Podcast
76 min listen
Run Your Own Anomaly Detection For Your Critical Business Metrics With Anomstack: If your business metrics looked weird tomorrow, would you know about it first? Anomaly detection is focused on identifying those outliers for you, so that you are the first to know when a business critical dashboard isn't right. Unfortunately, it can often be complex or expensive to incorporate anomaly detection into your data platform. Andrew Maguire got tired of solving that problem for each of the different roles he has ended up in, so he created the open source Anomstack project. In this episode he shares what it is, how it works, and how you can start using it today to get notified when the critical metrics in your business aren't quite right. by Data Engineering Podcast
51 min listen
Modern Customer Data Platform Principles: Databases and analytics architectures have gone through several generational shifts. A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP). by Data Engineering Podcast
62 min listen
Using Trino And Iceberg As The Foundation Of Your Data Lakehouse: A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Multiple open source projects and vendors have been working together to make this vision a reality. In this episode Dain Sundstrom, CTO of Starburst, explains how the combination of the Trino query engine and the Iceberg table format offer the ease of use and execution speed of data warehouses with the infinite storage and scalability of data lakes. by Data Engineering Podcast
59 min listen
Questions to Ask When Buying or Selling AI Services - with Sankar Narayanan of Fractal Analytics: Today we're excited to welcome the return of the great and brilliant Sankar Narayanan. Sankar is Chief Practice Officer of Fractal Analytics, a unicorn AI & analytics services firm, which has raised $300+ million since its founding in 2000.... by The AI in Business Podcast
20 min listen
EP 127 - Unlock your shadow factory, Saar Yoskovitz, CEO, Augury: In this episode, we discuss how manufacturers can save millions in CapEx and excess inventory by unlocking the shadow factory hidden in the operational inefficiencies. We also explore the value and complexity that comes with providing a full stack... by Industrial IoT Spotlight
46 min listen
1104: Autodesk - A Digital Transformation Story At Dynatrace Perform: Prakash Kota, CIO, at Autodesk talks about their digital transformation story. by The Tech Talks Daily Podcast
26 min listen
Building Applications With Data As Code On The DataOS: The modern data stack has made it more economical to use enterprise grade technologies to power analytics at organizations of every scale. Unfortunately it has also introduced new overhead to manage the full experience as a single workflow. At the Modern Data Company they created the DataOS platform as a means of driving your full analytics lifecycle through code, while providing automatic knowledge graphs and data discovery. In this episode Srujan Akula explains how the system is implemented and how you can start using it today with your existing data systems. by Data Engineering Podcast
49 min listen
2022: How Citrix and Stratodesk Are Delivering Endpoint Experiences Beyond the Infrastructure: Mikhael Lindholm from Stratodesk and Nitin Sharma from Citrix discuss how to provide an endpoint experience beyond the infrastructure. We talk about the advantages of using Citrix workspace in a Linux environment. About Mikael Mikael is an EUC, VDI,... by The Tech Talks Daily Podcast
37 min listen
Build A Data Lake For Your Security Logs With Scanner: Monitoring and auditing IT systems for security events requires the ability to quickly analyze massive volumes of unstructured log data. The majority of products that are available either require too much effort to structure the logs, or aren't fast enough for interactive use cases. Cliff Crosland co-founded Scanner to provide fast querying of high scale log data for security auditing. In this episode he shares the story of how it got started, how it works, and how you can get started with it. by Data Engineering Podcast
63 min listen
Using Data To Illuminate The Intentionally Opaque Insurance Industry: The insurance industry is notoriously opaque and hard to navigate. Max Cho found that fact frustrating enough that he decided to build a business of making policy selection more navigable. In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry. by Data Engineering Podcast
52 min listen
Designing Data Platforms For Fintech Companies: Working with financial data requires a high degree of rigor due to the numerous regulations and the risks involved in security breaches. In this episode Andrey Korchack, CTO of fintech startup Monite, discusses the complexities of designing and implementing a data platform in that sector. by Data Engineering Podcast
48 min listen
Surveying The Market Of Database Products: Databases are the core of most applications, whether transactional or analytical. In recent years the selection of database products has exploded, making the critical decision of which engine(s) to use even more difficult. In this episode Tanya Bragin shares her experiences as a product manager for two major vendors and the lessons that she has learned about how teams should approach the process of tool selection. by Data Engineering Podcast
47 min listen
Snorkel AI | Jumpstarting Data-Centric AI: Greylock general partner Saam Motamedi talks with… by Greymatter
36 min listen
2476: ThoughtSpot - How AI Analytics is Redefining Business Intelligence: In the rapidly evolving world of data analytics, staying ahead of the curve is essential. Today on Tech Talks Daily, I'm thrilled to have Sumeet Arora from ThoughtSpot to walk us through their game-changing announcements. ThoughtSpot is already... by The Tech Talks Daily Podcast
34 min listen
When And How To Conduct An AI Program: Artificial intelligence technologies promise to revolutionize business and produce new sources of value. In order to make those promises a reality there is a substantial amount of strategy and investment required. Colleen Tartow has worked across all stages of the data lifecycle, and in this episode she shares her hard-earned wisdom about how to conduct an AI program for your organization. by Data Engineering Podcast
46 min listen
Suresh Vittal, CPO at Alteryx, On His Journey to Revolutionizing Data Analytics by AI and the Future of Work
38 min listen
Find Out About The Technology Behind The Latest PFAD In Analytical Database Development: Building a database engine requires a substantial amount of engineering effort and time investment. Over the decades of research and development into building these software systems there are a number of common components that are shared across implementations. When Paul Dix decided to re-write the InfluxDB engine he found the Apache Arrow ecosystem ready and waiting with useful building blocks to accelerate the process. In this episode he explains how he used the combination of Apache Arrow, Flight, Datafusion, and Parquet to lay the foundation of the newest version of his time-series database. by Data Engineering Podcast
56 min listen
1269: Cloud OLAP for Enterprise Analytics: AtScale Co-founder, Sarah Gerweck shares the story behind her career in tech by The Tech Talks Daily Podcast
39 min listen
Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine: Software development involves an interesting balance of creativity and repetition of patterns. Generative AI has accelerated the ability of developer tools to provide useful suggestions that speed up the work of engineers. Tabnine is one of the main platforms offering an AI powered assistant for software engineers. In this episode Eran Yahav shares the journey that he has taken in building this product and the ways that it enhances the ability of humans to get their work done, and when the humans have to adapt to the tool. by Data Engineering Podcast
68 min listen
Ship Smarter Not Harder With Declarative And Collaborative Data Orchestration On Dagster+: A core differentiator of Dagster in the ecosystem of data orchestration is their focus on software defined assets as a means of building declarative workflows. With their launch of Dagster+ as the redesigned commercial companion to the open source project they are investing in that capability with a suite of new features. In this episode Pete Hunt, CEO of Dagster labs, outlines these new capabilities, how they reduce the burden on data teams, and the increased collaboration that they enable across teams and business units. by Data Engineering Podcast
56 min listen
Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach: Artificial intelligence has dominated the headlines for several months due to the successes of large language models. This has prompted numerous debates about the possibility of, and timeline for, artificial general intelligence (AGI). Peter Voss has dedicated decades of his life to the pursuit of truly intelligent software through the approach of cognitive AI. In this episode he explains his approach to building AI in a more human-like fashion and the emphasis on learning rather than statistical prediction. by Data Engineering Podcast
54 min listen
Build Your Second Brain One Piece At A Time: Generative AI promises to accelerate the productivity of human collaborators. Currently the primary way of working with these tools is through a conversational prompt, which is often cumbersome and unwieldy. In order to simplify the integration of AI capabilities into developer workflows Tsavo Knott helped create Pieces, a powerful collection of tools that complements the tools that developers already use. In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain. by Data Engineering Podcast
50 min listen
Use Your Data Warehouse To Power Your Product Analytics With NetSpring: With the rise of the web and digital business came the need to understand how customers are interacting with the products and services that are being sold. Product analytics has grown into its own category and brought with it several services with generational differences in how they approach the problem. NetSpring is a warehouse-native product analytics service that allows you to gain powerful insights into your customers and their needs by combining your event streams with the rest of your business data. In this episode Priyendra Deshwal explains how NetSpring is designed to empower your product and data teams to build and explore insights around your products in a streamlined and maintainable workflow. by Data Engineering Podcast
49 min listen
Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer: Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. In order to enable this use case, while maintaining a single point of access, the semantic layer has evolved as a technological solution to the problem. In this episode Artyom Keydunov, creator of Cube, discusses the evolution and applications of the semantic layer as a component of your data platform, and how Cube provides speed and cost optimization for your data consumers. by Data Engineering Podcast
56 min listen
EA518: Dreis Carmeliet - Acelab by EntreArchitect Podcast with Mark R. LePage
49 min listen

Discover this podcast and so much more

Modern Data Stacks

Modern Data Stacks

Description

Titles in the series (100)

More Episodes from Data Skeptic

Related podcast episodes