Monte Carlo
JUNE 6, 2023
Generative AI is taking the world by storm – here’s what it means for data engineering and why data observability is critical for this groundbreaking technology to succeed. Maybe you’ve noticed the world has dumped the internet, mobile, social, cloud and even crypto in favor of an obsession with generative AI. But is there more to generative AI than a fancy demo on Twitter?
Analytics Vidhya
JUNE 5, 2023
Introduction Welcome back to the success story interview series with a successful data scientist and our DataHour Speaker, Vidhya Chandrasekaran! In today’s data-driven world, data scientists play a crucial role in helping businesses make informed decisions by analyzing and interpreting data. With their expertise in statistics, machine learning, AI, and programming, they are able to […] The post Data Scientist’s Insights: Strategies for Innovation and Leadership appeared first
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
The Pragmatic Engineer
JUNE 8, 2023
👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and high-growth startups through the lens of engineering managers and senior engineers. In this article, we cover one out of four topics from today’s subscriber-only The Scoop issue. If you’re not a full subscriber yet, you missed this week’s deep-dive on Shopify’s leveling split.
Confessions of a Data Guy
JUNE 8, 2023
One of my greatest pleasures in life is watching the r/dataengineering Reddit board, I find it very entertaining and enlightening on many levels. It gives a fairly unique view into the wide range of Data Engineering companies, jobs, projects people are working on, tech stacks, and problems that are being faced. One thing I’ve come […] The post 4 Ways To Setup Your Data Engineering Game. appeared first on Confessions of a Data Guy.
Advertisement
Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Christophe Blefari
JUNE 3, 2023
Sun is coming in Berlin ( credits ) Hey, I've been sick longer than I expected, but I'm finally well. I hope this email finds you all well, as well. I've had to catch up on almost 3 weeks of content. When I step back, the amount of articles shared each week is insane, there are countless articles about things that have already been written.
KDnuggets
JUNE 8, 2023
This article discusses the significance of large language and visual models in AI, their capabilities, potential synergies, challenges such as data bias, ethical considerations, and their impact on the market, highlighting their potential for advancing the field of artificial intelligence.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Confluent
JUNE 8, 2023
ChatGPT and data streaming can work together for any company. Learn a basic framework for using GPT-4 and streaming to build a real-world production application.
Netflix Tech
JUNE 5, 2023
by Akshay Garg , Roger Quero Introduction Maximizing immersion for our members is an important goal for the Netflix product and engineering teams to keep our members entertained and fully engaged in our content. Leveraging a good mix of mature and cutting-edge client device technologies to deliver a smooth playback experience with glitch-free in-app transitions is an important step towards achieving this goal.
databricks
JUNE 9, 2023
Today, we are excited to announce the preview of a Hive Metastore (HMS) interface for Databricks Unity Catalog, which allows any software compatible.
KDnuggets
JUNE 5, 2023
Unlock the full potential of Jupyter Notebook with expert tips and techniques, including time-saving shortcuts, powerful magic functions, and advanced features, to boost your productivity.
Advertisement
Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Lyft Engineering
JUNE 8, 2023
Introducing Lyft Engineering: Hello Czechia! Ahoj! Lyft is opening offices in Czechia ?? and hiring for full-time positions on end-to-end product, science, and engineering teams. We’re looking for driven engineers to fortify our European operations and solve some of the hardest problems in building large distributed systems to support rideshare, mapping, and more.
Monte Carlo
JUNE 6, 2023
Sure, data quality is everyones’ problem. But who is responsible for data quality? Given the variations in approach and mixed success, we have a lot of natural experiments from which to learn. Some organizations will attempt to diffuse the responsibility widely across data stewards, data owners, data engineering and governance committees, each owning a fraction of the data value chain.
Cloudyard
JUNE 6, 2023
Read Time: 2 Minute, 39 Second During this post we will discuss a simple scenario using AWS Glue and Snowpark. Since long time I was planning to start and learn Snowpark and has come up with this simple and basic use-case to implement Glue and Snowpark in one pipeline. As per the requirement source system has fed a CSV file to our S3 bucket which needs to be ingested into Snowflake.
KDnuggets
JUNE 5, 2023
MLOps teams are pressured to advance their capabilities to scale AI. We teamed up with Ford Motors to explore how to scale MLOps within an organization and how to get started.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
databricks
JUNE 6, 2023
Announcing a new portfolio of Generative AI learning offerings on Databricks Academy Enroll in the Large Language Models: Application through Production on Databricks.
Tweag
JUNE 7, 2023
The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. The Haskell library ecosystem has been catching up as well, and there are now multiple good array libraries. However, writing high-performance array processing code in Haskell is still a non-trivial endeavor.
ArcGIS
JUNE 5, 2023
Eutrophication is driven by enrichment of waters by nutrients resulting in adverse changes in the balance of organisms and water quality.
KDnuggets
JUNE 9, 2023
A Beginners Guide to Building Web Applications without JavaScript.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
databricks
JUNE 7, 2023
LLMs present a massive opportunity for organizations of all scales to quickly build powerful applications and deliver business value. Where data scientists used.
Towards Data Science
JUNE 8, 2023
Specialists or generalists? Engineer or analyst? We examine which team structures are the best suited for efficiently improving data quality. Image courtesy of Shane Murray. Sure, data quality is everyones’ problem. But who owns the solution? Given the variations in approach and mixed success, we have a lot of natural experiments from which to learn.
Cloudera
JUNE 7, 2023
By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution. To provide guidance to federal agencies, and in many ways lead the way for the private sector, the Cybersecurity and Infrastructure Security Agency (CISA) issued the initial Zero Trust Maturity Model (ZTMM) i
Advertisement
Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
databricks
JUNE 4, 2023
In today's data-driven landscape, organizations face the challenge of aggregating data to derive meaningful insights that enrich audience profiles. Traditional data integration methods.
ArcGIS
JUNE 9, 2023
Read about five tips you can apply to avoid some of the most common pitfalls in creating a composite index.
Cloudera
JUNE 5, 2023
On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. This blog is to congratulate our winner and review the top submissions. On the verge of the release of NiFi 2.0, Cloudera VP of Engineering and NiFi founder Joe Witt, joined by principal committers Mark Payne and Matt Gillman, addressed the global community via a virtual event dubbed “ Meet the Committers.
KDnuggets
JUNE 8, 2023
How to install GPT4All on your Laptop and ask AI about your own domain knowledge (your documents)… and it runs on CPU only!
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Scott Logic
JUNE 6, 2023
AI tools are being trialled in many areas including software development, with examples such as GitHub Copilot , CodePal , SourceAI and Tabnine. In this post, I will look at the impact of these tools on coding and use that to predict how they will impact the design of software architecture. Predictions around this are very hard to make, especially taking into account how fast this field is changing, so it will be interesting to revisit this blog in a couple of years to see how things are.
databricks
JUNE 5, 2023
We are pleased to share the strategic partnership announcement between Dell and Databricks from the Dell Technologies World 2023 opening keynote last week.
Robinhood
JUNE 8, 2023
Stay up-to-date on the latest company news and blog content The Robinhood Newsroom is now live. The Under the Hood blog site and Robinhood content on the Medium site will now redirect people to the Robinhood Newsroom where they can find the latest company news and blog content. By consolidating content from various places, we hope to make it easier to stay up-to-date on the latest developments here at Robinhood.
KDnuggets
JUNE 7, 2023
ChatGPT for Data Science Interview Cheatsheets • Programming Languages for Specific Data Roles • 10 Jupyter Notebook Tips and Tricks for Data Scientists • Revolutionizing Data Analysis with PandasGUI • OpenAI’s Whisper API for Transcription and Translation
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
Expert insights. Personalized for you.
84 
Let's personalize your content