Sat.Sep 07, 2024 - Fri.Sep 13, 2024

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Setup Mage AI with Postgres to Build and Manage Your Data Pipeline

Analytics Vidhya

Introduction Imagine yourself as a data professional tasked with creating an efficient data pipeline to streamline processes and generate real-time information. Sounds challenging, right? That’s where Mage AI comes in to ensure that the lenders operating online gain a competitive edge. Picture this: thus, unlike many other extensions that require deep setup and constant coding, […] The post Setup Mage AI with Postgres to Build and Manage Your Data Pipeline appeared first on Analytics Vidhy

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Confluent + WarpStream = Large-Scale Streaming in your Cloud

Confluent

Confluent has acquired WarpStream, an innovative Kafka-compatible streaming solution. Read the full statement by Jay Kreps, co-founder and CEO of Confluent.

Cloud 142
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The 3 Types of Data Engineers.

Confessions of a Data Guy

Did you know there are only 3 types of Data Engineers? It’s true. I hope you are the right one. The post The 3 Types of Data Engineers. appeared first on Confessions of a Data Guy.

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Data News — Week 24.37

Christophe Blefari

Back to work ( credits ) Hey you, can you believe it's already September? This year has been flying. It feels like I just blinked, and here we are. In August, I've been focusing mainly on my next big journey—if you follow me on LinkedIn, you might have caught a sneak peek! I'll be making a full announcement next week. I want to take the time to explain my thought process and ideas behind it.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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10 GitHub Repositories to Master Computer Vision

KDnuggets

The GitHub repository includes up-to-date learning resources, research papers, guides, popular tools, tutorials, projects, and datasets.

Datasets 130
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Simulator-based reinforcement learning for data center cooling optimization

Engineering at Meta

We’re sharing more about the role that reinforcement learning plays in helping us optimize our data centers’ environmental controls. Our reinforcement learning-based approach has helped us reduce energy consumption and water usage across various weather conditions. Meta is revamping its new data center design to optimize for artificial intelligence and the same methodology will be applicable for future data center optimizations as well.

Data 112

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Embracing the Era of Enterprise AI: Your Guide to Snowflake World Tour

Snowflake

The Snowflake World Tour is making 23 stops around the globe, so you can learn about the latest innovations in the AI Data Cloud in a city near you. This tour will cover Snowflake’s latest advancements that can help you accelerate AI and application development in your organization while advancing the data foundation that makes it all possible. This includes new capabilities related to Snowflake Cortex, streaming, Iceberg open table formats and more.

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7 Free Cloud IDE for Data Science That You Are Missing Out

KDnuggets

Access a pre-built Python environment with free GPUs, persistent storage, and large RAM. These Cloud IDEs include AI code assistants and numerous plugins for a fast and efficient development experience.

Cloud 99
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Reflecting away from definitions in Liquid Haskell

Tweag

We’ve all been there: wasting a couple of days on a silly bug. Good news for you: formal methods have never been easier to leverage. In this post, I will discuss the contributions I made during my internship to Liquid Haskell (LH), a tool that makes proving that your Haskell code is correct a piece of cake. LH lets you write contracts for your functions inside your Haskell code.

Coding 70
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Building a Generative AI Workflow for the Creation of More Personalized Marketing Content

databricks

Personalization and scale have historically been mutually exclusive. For all the talk of one-to-one marketing and hyper-personalization , the reality has been that.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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How Developers Can Use Generative AI to Improve Data Quality

Confluent

Engineers can put generative AI to work to improve the quality of their data, allowing them to build more accurate and trustworthy AI-powered applications.

Data 72
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Getting Started with OpenAI o1 Reasoning Models

KDnuggets

Learn how to use the OpenAI o1-preview & o1-mini for decision-making, coding, and building an end-to-end machine learning project from scratch.

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From Cattle to Clarity: Visualizing Thousands of Data Pipelines with Violin Charts

DataKitchen

From Cattle to Clarity: Visualizing Thousands of Data Pipelines with Violin Charts Most data teams work with a dozen or a hundred pipelines in production. What do you do when you have thousands of data pipelines in production? How do you understand what is happening to those pipelines? Is there a way that you can visualize what is happening in production quickly and easily?

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Announcing advanced security and governance in Mosaic AI Gateway

databricks

We are excited to introduce several powerful new capabilities to Mosaic AI Gateway, designed to help our customers accelerate their AI initiatives with.

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Producing Messages With a Schema in Confluent Cloud Console

Confluent

To make application testing for topics with schemas easier, you can now produce messages that are serialized with schemas using the Confluent Cloud Console UI.

Cloud 69
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5 Hidden Gem Python Libraries for Data Science

KDnuggets

Exploring the not-so-famous data science libraries that can be useful in your data workflow.

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4 Key Trends in Data Quality Management (DQM) in 2024

Precisely

Key Takeaways: • Implement effective data quality management (DQM) to support the data accuracy, trustworthiness, and reliability you need for stronger analytics and decision-making. • Embrace automation to streamline data quality processes like profiling and standardization. • Develop standardized processes to quickly identify and fix data issues, maintaining integrity and compliance.

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2024 Fortune Best Workplaces in Technology™ recognizes Databricks

databricks

We are excited to announce that Databricks was named one of the 2024 Fortune Best Workplaces in Technology™. This award reflects our.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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Leveraging Azure IoT for Machine Health

RandomTrees

The health and efficiency of machines are a priority in the rapidly evolving industrial world today. With more industries now relying heavily on complicated machinery, there has been an increasing need for effective monitoring and maintenance strategies over time. One of the most exciting solutions to this problem entails deploying Azure IoT monitoring devices to monitor machine health.

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Top 5 Machine Learning APIs Practitioners Should Know

KDnuggets

Learn about machine learning APIs for datasets, models, web applications, free GPUs, and text, audio, and image generation.

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Location-Driven Retail Insights to Help Navigate Holiday Shopping Shifts

Precisely

As the holiday season approaches, the retail landscape is poised for a significant shift. For retailers, this period is about more than just managing the influx of shoppers; it is about seizing the opportunity to meet customers’ needs and exceed their expectations. With analysis from PlaceIQ’s audiences for the 2024 holiday season, retailers can strategically position themselves to enhance customer engagement and loyalty during the most crucial shopping window of the year.

Retail 57
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Implementing a RAG chatbot using Databricks and Pinecone

databricks

Imagine giving your business an intelligent bot to talk to customers. Chatbots are commonly used to talk to customers and provide them with.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Evolving with AI from Traditional Testing to Model Evaluation I by Shikha Nandal

Scott Logic

Machine learning (ML) is no longer just a concept for the future, it is now a vital part of many everyday applications. From personalised recommendations on streaming services and self-driving cars to detecting fraud in banking and advancements in healthcare, ML is changing the way industries work. For a test engineer, the increasing use of ML brings new challenges and opportunities.

Medical 52
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5 Quirky Data Science Projects to Impress

KDnuggets

Develop unique yet standing-out data science projects to improve your data portfolio.

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Top 5 Kafka Tools for Data Engineers in 2024

Hevo

As the dependency on high-quality, real-time data availability increases, the need for event/data streaming tools becomes increasingly crucial. Apache Kafka has become one of the most trending event streaming platforms, and its popularity has led to wide organizational acceptance in various functions related to large-scale real-time data streams.

Kafka 52
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Simplified, faster development with new capabilities in Databricks VS Code Extension

databricks

We are excited to announce a set of enhanced capabilities for the Databricks Visual Studio Code Extension: Easily set up your projects built.

Coding 62
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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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The 5 Data Quality Rules You Should Never Write Again

Monte Carlo

You know what they say about rules: they’re meant to be broken. Or, when it comes to data quality, it’s more like they’re bound to be broken. Data breaks, that much is certain. The challenge is knowing when, where, and why it happens. For most data analysts, combating that means writing data rules – lots of data rules – to ensure your data products are accurate and reliable.

Data 52
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Introducing the AI Lakehouse

KDnuggets

In order for Lakehouse to become a unified data layer for both analytics and AI, it needs to be extended with new capabilities

IT 99
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Introducing Our Technology Carbon Estimator by Matt Griffin

Scott Logic

In February of this year, Scott Logic announced our proposed Technology Carbon Standard , setting out an approach to describing an organisation’s technology footprint. This standard has proven invaluable in mapping our own carbon footprint, as well as those of clients we’ve worked with. As awareness of the environmental impact of digital infrastructure grows, it has become crucial to understand and manage technology-related emissions.

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Integrating Entra ID, Azure DevOps and Databricks for Better Security in CI/CD

databricks

Personal Access Tokens (PATs) are a convenient way to access services like Azure Databricks or Azure DevOps without logging in with your password.

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.