The Pragmatic Engineer
APRIL 6, 2023
👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. If you’re not yet a full subscriber, you missed this week’s deep-dive into Figma’s engineering culture. To get full newsletters twice a week, subscribe here.
KDnuggets
APRIL 6, 2023
With more and more companies integrating artificial intelligence into the workplace, what does this mean for employees' futures and careers?
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Confessions of a Data Guy
APRIL 6, 2023
The post QuickSort in Rust! appeared first on Confessions of a Data Guy.
KDnuggets
APRIL 6, 2023
Discover the widely-used open-source frameworks and models for creating your ChatGPT like chatbots, integrating LLMs, or launching your AI product.
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.
LinkedIn Engineering
APRIL 6, 2023
It’s been an exciting few months at LinkedIn, as our engineering and product teams have been working hard to build some new and advanced AI-powered experiences for our members and customers. I have the opportunity to sit at such a unique vantage point where I get to see first hand the work that went into setting the technology foundations - from the technical resources, tools, engineering playgrounds and guidelines - to make it all possible.
KDnuggets
APRIL 6, 2023
I will be sharing a couple of things I have learned in the past six months and tips that helped me stay dedicated and true to my journey in this article.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
KDnuggets
APRIL 6, 2023
Check out this free ebook of tip and tricks for getting ahead with your Python programming skills.
ArcGIS
APRIL 6, 2023
Organizations with IFC files can still reap the benefits of an ArcGIS Indoors deployment by following these recommendations.
Towards Data Science
APRIL 6, 2023
Learning a little about these tools and how to integrate them Photo by Nolan Krattinger on Unsplash Introduction A few weeks ago, while doing my mental stretch to think about new post ideas, I thought: Well, I need to learn (and talk) more about cloud and these things, I’ve practiced a lot on on-premise ambients, using open-source tools, and running away from proprietary solutions… But the world is cloud and I don’t think that this is gonna change any time soon… I then wrote a post about creati
databricks
APRIL 6, 2023
What is GxP? GxP stands for "Good x Practices," where x refers to a specific discipline, such as clinical, manufacturing, or laboratory. The.
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.
Workfall
APRIL 6, 2023
Reading Time: 6 minutes Real-time applications are important in several instances. Especially in a scenario whereby immediate feedback is important such as messaging apps and IoT apps. Let’s imagine a case in IoT whereby a smoke detector needs to relay information to water sprinklers in a burning building. This information has to be in real-time to save the situation before it worsens.
Snowflake
APRIL 6, 2023
Data science is quickly emerging as a key differentiator for advertising, media, and entertainment organizations. That holy grail of subscriber 360—fully understanding customers—has always been a moving target. But today’s market pressures are converging on companies, demanding they become more responsive to subscribers’ needs, wants, and preferences.
Data Engineering Weekly
APRIL 6, 2023
Hey folks, have you heard about the Data Council conference in Austin? The three-day event was jam-packed with exciting discussions and innovative ideas on data engineering and infrastructure, data science and algorithms, MLOps, generative AI, streaming infrastructure, analytics, and data culture and community. "People are so nice in the data community.
Knowledge Hut
APRIL 6, 2023
Every project manager is aware that risks exist in all projects; for example, deliveries may be delayed, accidents may occur, people may become ill, etc. Planning cannot eliminate risk or one’s inability to influence unforeseen events. Risk in the frame of reference of projects refers to an unanticipated occurrence or circumstance that, if it materialises, has an impact on the goals of the project, either favourably or unfavourably.
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.
ArcGIS
APRIL 6, 2023
Join us at the GIS-T Conference from April 11 – 14, 2023, showcasing the latest capabilities in ArcGIS Roads and Highways.
Engineering at Meta
APRIL 6, 2023
Buck2, our new open source, large-scale build system , is now available on GitHub. Buck2 is an extensible and performant build system written in Rust and designed to make your build experience faster and more efficient. In our internal tests at Meta, we observed that Buck2 completed builds 2x as fast as Buck1. Buck2, Meta’s open source large-scale build system, is now publicly available via the Buck2 website and the Buck2 GitHub repository.
Precisely
APRIL 6, 2023
The financial services industry faces an array of challenges in adapting legacy technology to the rapidly evolving technology environment. Data analytics and other technologies have emerged as integral elements of most businesses. Until recently, organizations were forced to choose between the cost and disruption involved with migrating to greenfield systems versus missing the boat on cutting-edge technologies that add value for business users, customers, and shareholders.
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