Sat.May 27, 2023 - Fri.Jun 02, 2023

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Ensuring the Successful Launch of Ads on Netflix

Netflix Tech

By Jose Fernandez , Ed Barker , Hank Jacobs Introduction In November 2022, we introduced a brand new tier —  Basic with ads. This tier extended existing infrastructure by adding new backend components and a new remote call to our ads partner on the playback path. As we were gearing up for launch, we wanted to ensure it would go as smoothly as possible.

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The Top AutoML Frameworks You Should Consider in 2023

KDnuggets

AutoML frameworks are powerful tool for data analysts and machine learning specialists that can automate data preprocessing, model selection, hyperparameter tuning, and even perform complex tasks like feature engineering.

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Welcoming bit.io to Databricks: Investing in the Developer Experience

databricks

We are excited to announce that bit.io is joining Databricks. At Databricks, we’ve always been focused on empowering organizations to solve their toughest p.

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What Pride and allyship mean to me by Steve Foreshew-Cain

Scott Logic

Every year at this time, I like to share my thoughts on the continuing relevance of Pride Month; you can read my posts here from 2021 and 2022. This Pride Month, we’re going to share insights from the Scott Logic team on what Pride and allyship mean to them, and why they value working in an inclusive environment. I’ll get the ball rolling. What does Pride mean to you?

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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LinkedIn Bug Bounty Program - One Year Anniversary of Public Launch

LinkedIn Engineering

Authors: Ameen Maali , Rohit Pitke , Surbhi Jain , and Mira Thambireddy Security of our members’ data is a key priority at LinkedIn. To tap into the collective insights of the entire security community, we decided to expand our private bug bounty program to everyone on the HackerOne platform last year. In this blog post, we reflect on our journey through the program’s inception, the successes, the learnings, and discuss why our bug bounty program has been so valuable in keeping LinkedIn a secure

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Bard for Data Science Cheat Sheet

KDnuggets

Check out our latest cheat sheet to get you up to speed and provide a handy reference for using Google's LLM chat tool Bard for data science.

More Trending

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Top 20 Artificial Intelligence Project Ideas in 2023

Knowledge Hut

AI finds its use in a wide range of applications like marketing , automation, transport, supply chain, and communication, to name a few. From cutting-edge research to real-world applications, here we will investigate the most executed artificial intelligence projects. This article will assist you to discover plenty of fascinating ideas and insights to inspire you, whether you are a tech fanatic or want to know about the future of AI.

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Warmest ocean ever

ArcGIS

Our ocean is a key regulator in our climate and weather patterns. As temperatures rise so will the land temperatures and storm frequencies.

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OpenAI’s Whisper API for Transcription and Translation

KDnuggets

This article will show you how to use OpenAI's Whisper API to transcribe audio into text. It will also show you how to use it in your own projects and how to integrate it into your data science projects.

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Better LLMs with Better Data using Cleanlab Studio

databricks

This post and accompanying notebook and tutorial video demonstrate how to use Cleanlab Studio to improve the performance of Large Language Models (LLMs.

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Get Better Network Graphs & Save Analysts Time

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.

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ThoughtSpot Sage: data security with large language models

ThoughtSpot

With the recent announcement of ThoughtSpot Sage , we launched a number of enhancements to our search capabilities including AI-generated answers, AI-powered search suggestions, and AI-assisted data modeling. In this article we will walk you through the steps we take to secure your data during the LLM interaction. Looking more broadly, we’ll also describe the security process we follow during any application iteration or enhancement, so you can see the great lengths we take to keep your data se

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6 Pillars of Data Quality and How to Improve Your Data

Databand.ai

6 Pillars of Data Quality and How to Improve Your Data Eric Jones May 30, 2023 What Is Data Quality? Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context. High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies.

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Top 10 Tools for Detecting ChatGPT, GPT-4, Bard, and Claude

KDnuggets

Top free tools for detecting thesis, research papers, assignments, documentation, and blogs generated by AI models.

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Spark Analysers: Catching Anti-Patterns In Spark Apps

Uber Engineering

Uber runs more than 100K big data workloads per day using Apache Spark–at that scale it’s crucial to write optimized apps. The Delivery Data Solutions team built Spark Analysers, a real-time system to catch anti-patterns in the Spark application at Uber scale, helping Uber developers optimize their apps.

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Understanding User Needs and Satisfying Them

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.

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Share Pop-up Charts from the Spatial Statistics and Space Time Pattern Mining Toolboxes to ArcGIS Online

ArcGIS

Use the Convert Spatial Statistics Popup Charts for Web Display tool to view the pop-up charts from your analysis in ArcGIS Online.

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Driving Data Usability for Health Plans through Simplified Data Quality Enforcement with Databricks

databricks

Faced with clinician shortages, an aging population, and stagnant health outcomes, the healthcare industry has the potential to greatly benefit from disruptive technologies.

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KDnuggets Top Posts for March 2023: AutoGPT: Everything You Need To Know

KDnuggets

AutoGPT: Everything You Need To Know • Top 19 Skills You Need to Know in 2023 to Be a Data Scientist • 8 Open-Source Alternative to ChatGPT and Bard • LangChain 101: Build Your Own GPT-Powered Applications • 10 Websites to Get Amazing Data for Data Science Projects • Baby AGI: The Birth of a Fully Autonomous AI • Mastering Generative AI and Prompt Engineering: A Free eBook • Data Analytics: The Four Approaches to Analyzing Data and How To Use Them Effectively

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Introducing the Snowflake Connector for ServiceNow analytics

ThoughtSpot

In a world where user experience and IT support can mean the difference between hitting or missing your ARR marks, businesses have to find smarter ways to build workflows and support their IT departments. That’s where companies like ServiceNow come into play. A few years back, we created our ServiceNow SpotApp , a pre-built analytics template to help companies analyze and understand their data—so they can increase efficiencies across their complex IT environments.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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From the Economic Graph to Economic Insights: Building the Infrastructure for Delivering Labor Market Insights from LinkedIn Data

LinkedIn Engineering

Authors: Dr. Patrick Driscoll and Akash Kaura LinkedIn’s vision is to create economic opportunity for every member of the global workforce. Since its inception in 2015, the Economic Graph Research and Insights (EGRI) team has worked to make this vision a reality by generating labor market insights such as: Real-time economic and workforce intelligence & insights.

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Adaptive Query Execution in Structured Streaming

databricks

In Databricks Runtime, Adaptive Query Execution (AQE) is a performance feature that continuously re-optimizes batch queries using runtime statistics during query execution. Starting.

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4 Career Lessons That Helped Me Navigate the Difficult Job Market

KDnuggets

In this blog, I share 4 valuable lessons I learned while searching for data science roles amidst challenging circumstances, including 60-day immigration policies, layoffs, and health issues. My hope is to offer insights and guidance to those who are facing similar obstacles, whether due to recent layoffs or immigration challenges.

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Explore and Prepare Your Data with ArcGIS Pro Data Engineering

ArcGIS

Get a taste of how to use Data Engineering to explore, visualize, clean and prepare data in ArcGIS Pro.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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BigQuery Best Practices: Unleash the Full Potential of Your Data Warehouse

Towards Data Science

Supercharge your BigQuery experience with these 6 best practices Continue reading on Towards Data Science »

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Easy Ingestion to Lakehouse with File Upload and Add Data UI

databricks

Data ingestion into the Lakehouse can be a bottleneck for many organizations, but with Databricks, you can quickly and easily ingest data of.

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Programming Languages for Specific Data Roles

KDnuggets

What programming language do you need for a specific data role?

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Self-Service GitOps for Confluent Cloud

Confluent

Learn how GitOps can work with policy-as-code systems to provide a true self-service model for managing Confluent resources.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Fast String Processing with Polars?—?Scam Emails Dataset

Towards Data Science

Clean, process and tokenise texts in milliseconds using in-built Polars string expressions Continue reading on Towards Data Science »

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The Great Unlock: Large Language Models in Manufacturing

databricks

The manufacturing industry is constantly finding new ways to increase automation, gain operational visibility and accelerate product and technology development. This requires companies.

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The Role of Open Source Tools in Accelerating Data Science Progress

KDnuggets

Open source tools have had a pivotal role in the evolution of data science, from providing the foundation for analysis, to fueling the innovation that shapes today's landscape. The open source impact on data science is demonstrated best by looking at the relationship's past, present, and future.

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Deep Dive into RabbitMQ with Spring Boot - Part 2 by Sonali Mendis

Scott Logic

This is the final post of a series of 2 posts on RabbitMQ with Spring Boot. In the previous post, I explained the spring version of RabbitMQ acknowledgement mode. In this post, I’m hoping to explain how to tweak your RabbitMQ configuration to alter the retry behaviour, and how to add multiple consumers to allow parallel processing, in your Spring Boot application.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.