Trending Articles

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OpenAI Acquires Rockset

Rockset

I’m excited to share that OpenAI has completed the acquisition of Rockset. We are thrilled to join the OpenAI team and bring our technology and expertise to building safe and beneficial AGI. From the start, our vision at Rockset was to fundamentally transform the way data-driven applications were built. We developed our search and analytics database, taking full advantage of the cloud, to eliminate the complexity inherent in the data infrastructure needed for these apps.

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What I’ve Learned After A Decade Of Data Engineering

Confessions of a Data Guy

After 10 years of Data Engineering work, I think it’s time to hang up the proverbial hat and ride off into the sunset, never to be seen again. I wish. Everything has changed in 10 years, yet nothing has changed in 10 years, how is that even possible? Sometimes I wonder if I’ve learned anything […] The post What I’ve Learned After A Decade Of Data Engineering appeared first on Confessions of a Data Guy.

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Delta Lake table as a changelog

Waitingforcode

One of the big challenges in streaming Delta Lake is the inability to handle in-place changes, like updates, deletes, or merges. There is good news, though. With a little bit of effort on your data provider's side, you can process a Delta Lake table as you would process Apache Kafka topics, hence without in-place changes.

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Deploying Machine Learning Models: A Step-by-Step Tutorial

KDnuggets

Image by author Model deployment is the process of trained models being integrated into practical applications. This includes defining the necessary environment, specifying how input data is introduced into the model and the output produced, and the capacity to analyze new data and provide relevant predictions or categorizations.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Cloudera Unveils Plans for Annual Pride Celebration in Cork

Cloudera

Pride Month is underway and we at Cloudera are looking forward to joining the global celebration of diversity, equity and the ongoing effort for LGBTQ+ ( L esbian, G ay, B isexual, T ransgender, Q ueer/ Q uestioning) rights and recognition. Pride Month serves as a reminder that the fight for equality and equity for members of the LGBTQ+ community is not over.

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Boost your Productivity with Tool Parameter Overrides in ArcGIS Pro 3.3

ArcGIS

Productivity Update! Learn how to override default parameter values for geoprocessing tools in ArcGIS Pro 3.3. Override Geoprocessing Tool Defaults in ArcGIS Pro 3.

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Santalucía Seguros: Enterprise-level RAG for Enhanced Customer Service and Agent Productivity

databricks

In the insurance sector, customers demand personalized, fast, and efficient service that addresses their needs. Meanwhile, insurance agents must access a large amount.

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5 Free Artificial Intelligence Courses from Top Universities

KDnuggets

Want to learn AI from the best of resources? Check out these free AI courses from top universities.

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Modern Data Engineering: Free Spark to Snowpark Migration Accelerator for Faster, Cheaper Pipelines in Snowflake

Snowflake

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models. Designed for processing large data sets, Spark has been a popular solution, yet it is one that can be challenging to manage, especially for users who are new to big data processing or distributed systems.

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The Importance of Recognizing Juneteenth

Cloudera

Juneteenth holds profound significance in the history of freedom and equality for Black Americans. Also known as Freedom Day or Emancipation Day, Juneteenth commemorates the anniversary of June 19, 1865, when news of the Emancipation Proclamation reached Galveston, Texas, finally declaring freedom for enslaved Americans held in the Confederacy–more than two years after the proclamation was issued in on January 1, 1863.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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What’s new for CAD and BIM in ArcGIS Pro 3.3

ArcGIS

Discover what's new in ArcGIS Pro 3.3 for CAD and BIM workflows, allowing you to directly read datasets from Autodesk Revit, Civil 3D, and Industry Foundation Classes.

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Databricks Named a Leader in 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms

databricks

We are excited to announce that Gartner has recognized Databricks as a Leader in the 2024 Gartner® Magic Quadrant™ for Data Science and.

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Creating AI-Driven Solutions: Understanding Large Language Models

KDnuggets

Understanding LLMs is pivotal in unlocking the full potential of AI-driven solutions across various domains. As we navigate the process of building AI-driven solutions, it is essential to approach the development and deployment of LLMs with a focus on responsible AI practices.

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A Recap of the Data Engineering Open Forum at Netflix

Netflix Tech

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale. Netflix is not the only place where data engineers are solving challenging problems with creative solutions.

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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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How to Turn a REST API Into a Data Stream with Kafka and Flink

Confluent

Improve REST API response data w/Kafka and Flink SQL in Confluent Cloud; Automatic connector retriability combats REST flakiness; Demo w/OpenSky data.

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RelationalAI’s AI Coprocessor Expands Snowflake AI Data Cloud With Support for Graph Analytics and Reasoning

Snowflake

Despite the seemingly nonstop conversation surrounding AI, the data suggests that bringing AI into enterprises is still easier said than done. There’s so much potential and plenty of value to be captured — if you have the right models and tools. Implementing advanced AI today requires a solid data foundation and often a set of solutions, each demanding its own tools and complex infrastructure.

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Empowering Enterprise Generative AI with Flexibility: Navigating the Model Landscape

Cloudera

The world of Generative AI (GenAI) is rapidly evolving, with a wide array of models available for businesses to leverage. These models can be broadly categorized into two types: closed-source (proprietary) and open-source models. Closed-source models, such as OpenAI’s GPT-4o, Anthropic’s Claude 3, or Google’s Gemini 1.5 Pro, are developed and maintained by private and public companies.

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Beginner’s Guide to Machine Learning Testing With DeepChecks

KDnuggets

Perform data integrity tests and generate model evaluation reports by writing a few lines of code.

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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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Redefining Hosting: A Customer-Driven Journey to Better Deployments

Monte Carlo

No two companies are ever quite the same. Some teams have more security needs. Other teams are concerned about costs or administration requirements. So, when it comes to how organizations choose to deploy new software, there’s never a one-size-fits-all approach. That’s particularly true when you’re working with a customer resource as critical as data.

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The Best AWS Glue Tutorial: 3 Major Aspects

Hevo

ETL (Extract, Transform, and Load) is an emerging topic in all IT Industries. Industries often look for an easy solution to do ETL on their data without spending much effort on coding. If you’re also looking for such a solution, then you’ve landed in the right place.

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 It’s Not Just About AI: Does Your Data Strategy Match Your Ambition? 

Snowflake

Recent Snowflake workshops and roundtables have started with the question: “Does your data strategy match your AI ambition?” It certainly sparks customer engagement, but is that the right question to ask? Right now, it seems appropriate with all of the interest — dare I say “hype” — around AI. But it merely reflects the current darling of the tech world, focusing on the technology itself, rather than the ultimate goal.

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Protected: What’s new for CAD and BIM in ArcGIS Pro 3.3

ArcGIS

Discover what's new in ArcGIS Pro 3.3 for CAD and BIM workflows, allowing you to directly read datasets from Autodesk Revit, Civil 3D, and Industry Foundation Classes.

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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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How to Implement Agentic RAG Using LangChain: Part 1

KDnuggets

Learn about enhancing LLMs with real-time information retrieval and intelligent agents.

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How AI Chatbots are Transforming the Customer Experience

RandomTrees

Customer services are continuously changing significantly. Now, it is not about waiting for hours plus and getting irritating phone menus. For instance, artificial intelligence (AI) chatbots powered by the latest machine learning and natural language processing (NLP) applications have redefined interaction between companies and their customers. The old days, where virtual assistants used to handle simple queries, are gone.

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GCP Oracle Migration: Optimize your Workload

Hevo

Oracle is widely used to store, manage, and perform complex operations on data, making it ideal for business-critical operations. You can efficiently scale your business data by hosting Oracle services on the Google Cloud Platform. GCP offers efficient resource utilization, which can be helpful when performing operations like data processing, analysis, and visualization.

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How to Prepare Data for Use in Machine Learning Models

phData: Data Engineering

Machine learning (ML) is only possible because of all the data we collect. However, with data coming from so many different sources, it doesn’t always come in a format that’s easy for ML models to understand. Before you can take advantage of everything ML offers, much prep work is involved. In this blog, we’ll explain why you should prepare your data before use in machine learning , how to clean and preprocess the data, and a few tips and tricks about data preparation.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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5 Data Integration Strategies for AI in Real Time

Striim

In today’s fast-paced world, staying ahead of the competition requires making decisions informed by the freshest data available — and quickly. That’s where real-time data integration comes into play. By seamlessly blending and updating information from numerous sources, businesses can guarantee their AI systems are fueled by the latest, most accurate data.

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Breaking into Data Science: Essential Skills and How to Learn Them

KDnuggets

Going beyond technical skills; learn how to make a data science profile that stands out and helps you land your dream role.

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AI in Financial Fraud Detection and Prevention

RandomTrees

AI technology is revolutionizing and changing the way that fraud detection and prevention are being practiced, especially in the finance industry. AI-driven fraud solutions are increasingly being adopted by financial institutions globally to fight against fast-growing cybercrimes. This article looks into AI’s different uses in financial fraud detection, with a focus on techniques involving anomaly detection, machine learning algorithms, and real-time data analysis that help safeguard the credibi

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Snowflake Security Integration: A Comprehensive Guide

Hevo

As more businesses migrate to cloud platforms for data management, the risks of data breaches and unauthorized access to sensitive information increase. Snowflake, the popular cloud data warehouse, addresses these challenges by providing robust data encryption, access controls, monitoring, and network security to protect your data throughout its lifecycle.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.