Sat.Oct 28, 2023 - Fri.Nov 03, 2023

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Generative AI vs Machine Learning: Which One to Choose?

Knowledge Hut

Artificial Intelligence has transformed the way we tackle intricate problems, interpret data, and make forecasts, revolutionizing the tech realm with its uninhabited prowess and potential. In fact, did you know that the global market for AI , which currently stands at a market value of $150.2 billion, is expected to witness a 36.8% CAGR by the end of 2030?

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Azure Data Engineer vs Azure DevOps: Top 8 Differences

Knowledge Hut

For those aspiring to build a career within the Azure ecosystem, navigating the choices between Azure Data Engineers and Azure DevOps Engineers can be quite challenging. Azure Data Engineers and Azure DevOps Engineers are two critical components of the Azure ecosystem for different but interconnected reasons. A choice between these two can be difficult to make unless you have all the information you need.

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Handling a Regional Outage: Comparing the Response From AWS, Azure and GCP

The Pragmatic Engineer

👋 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 startups through the lens of engineering managers and senior engineers. In this article, we cover three out of seven topics from today’s subscriber-only issue Three Cloud Providers, Three Outages: Three Different Responses.

AWS 232
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Surveying The Market Of Database Products

Data Engineering Podcast

Summary Databases are the core of most applications, whether transactional or analytical. In recent years the selection of database products has exploded, making the critical decision of which engine(s) to use even more difficult. In this episode Tanya Bragin shares her experiences as a product manager for two major vendors and the lessons that she has learned about how teams should approach the process of tool selection.

Database 189
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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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7 Machine Learning Algorithms You Can’t Miss

KDnuggets

This list of machine learning algorithms is a good place to start your journey as a data scientist. You should be able to identify the most common models and use them in the right applications.

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Announcing MLflow 2.8 LLM-as-a-judge metrics and Best Practices for LLM Evaluation of RAG Applications, Part 2

databricks

Today we're excited to announce MLflow 2.8 supports our LLM-as-a-judge metrics which can help save time and costs while providing an approximation of.

More Trending

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Dialpad Turns to Confluent and StarTree for Real-Time Customer Intelligence

Confluent

Learn how AI-powered customer intelligence platform Dialpad modernized its data infrastructure and improved customer satisfaction rates with Confluent and Startree.

IT 127
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SQL for Data Visualization: How to Prepare Data for Charts and Graphs

KDnuggets

Unlock the Power of SQL in Data Visualization: Master the Art of Preparing Data for Impactful Charts and Graphs.

SQL 152
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Training LLMs at Scale with AMD MI250 GPUs

databricks

Introduction Four months ago, we shared how AMD had emerged as a capable platform for generative AI and demonstrated how to easily and.

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How to cover up coastal artifacts in mosaiced imagery

ArcGIS

Sometimes mosaiced imagery over water can have undesirable seam artifacts or gaps. Here's one way to make that water look snazzy.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database.

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Building Data Pipelines to Create Apps with Large Language Models

KDnuggets

For production grade LLM apps, you need a robust data pipeline. This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages.

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To Tailgate or Not? How Databricks + AccuWeather used ML to answer every football fan's burning question

databricks

Whether you’re an NFL fanatic, an alumnus rooting for your alma mater or a super fan just trying to catch a glimpse of T.

Data 131
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Imagery data sources to power your workflows

ArcGIS

There are many imagery sources available to host your own imagery layers in ArcGIS Image for ArcGIS Online.

Data 114
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Great Nickel configurations from little merges grow

Tweag

This blog post is part of the series exploring the foundations of the Nickel configuration language. Presenting Nickel: better configuration for less Programming with contracts in Nickel Types à la carte in Nickel Great configurations from little merges grow We previously looked at the core language, then contracts, and finally typing. The last important remaining piece to explore is the merge system.

Metadata 113
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Hyperparameter Tuning: GridSearchCV and RandomizedSearchCV, Explained

KDnuggets

Learn how to tune your model’s hyperparameters using grid search and randomized search. Also learn to implement them in scikit-learn using GridSearchCV and RandomizedSearchCV.

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Big Book of MLOps Updated for Generative AI

databricks

Last year, we published the Big Book of MLOps, outlining guiding principles, design considerations, and reference architectures for Machine Learning Operations (MLOps). Since.

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Use AI in Seconds with Snowflake Cortex

Snowflake

Generative AI is unlocking new ways to drive innovation, improve productivity and derive more value from data. For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI. That’s why we created Snowflake Cortex (in private preview), Snowflake’s new, intelligent, fully managed service that enables organizations to quickly analyze data and build AI applications — all within Snowflake.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Got five minutes? Get to know ArcGIS GeoEnrichment Service

ArcGIS

ArcGIS GeoEnrichment Service quickly adds information like local demographics, spending patterns, and business data to your study area.

Data 111
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Introduction to NExT-GPT: Any-to-Any Multimodal Large Language Model

KDnuggets

The future of the multimodal large language model.

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Top 30+ Computer Science Project Topics of 2023 [Source Code]

Knowledge Hut

Choosing the best computer science project topic is critical to the success of any computer science student or employee. After all, the more engaging and interesting topic, the more likely it is that students or employees will be able to stay motivated and focused throughout the duration of the project. However, with so many options out there, it can be tough to decide which one is right for you.

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Build and deploy ML with ease Using Snowpark ML, Snowflake Notebooks, and Snowflake Feature Store

Snowflake

Snowflake has invested heavily in extending the Data Cloud to AI/ML workloads, starting in 2021 with the introduction of Snowpark , the set of libraries and runtimes in Snowflake that securely deploy and process Python and other popular programming languages. Since then, we’ve significantly opened up the ways Snowflake’s platform, including its elastic compute engine can be used to accelerate the path from AI/ML development to production.

Building 111
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Build Modern Innovative Solutions on Cloudera Data Platform Using the Power of Generative AI with Amazon Bedrock

Cloudera

Enterprises see embracing AI as a strategic imperative that will enable them to stay relevant in increasingly competitive markets. However, it remains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey. Cloudera recently signed a strategic collaboration agreement with Amazon Web Services (AWS), reinforcing our relationship and commitment to accelerating and scaling cloud native data manag

Building 109
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Leveraging the Power of GPUs with CuPy in Python

KDnuggets

Whether you're doing machine learning, scientific computing, or working with huge datasets, CuPy is an absolute game-changer.

Python 148
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Automating data removal

Engineering at Meta

Meta’s Systematic Code and Asset Removal Framework (SCARF) has a subsystem for identifying and removing unused data types. SCARF scans production data systems to identify tables or assets that are unused and safely removes them. SCARF avoids tedious manual work and ensures that product data is correctly removed when a product is shut down. This is the third and final post in our series on Meta’s Systematic Code and Asset Removal Framework (SCARF).

Data 109
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Announcing New Innovations for Snowflake Horizon 

Snowflake

Snowflake’s single, cross-cloud governance model has always been a powerful differentiator, enabling customers to manage their increasingly complex data ecosystems with simplicity and ease. As a result, Snowflake is enhancing its governance capabilities that thousands of customers already rely on through Snowflake Horizon. Snowflake Horizon is Snowflake’s built-in governance solution with a unified set of compliance, security, privacy, interoperability, and access capabilities.

Metadata 109
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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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EMEA Summit Partner Awards for AWS, Accenture, IBM, Talend a Qlik Company, Tech Data, and Dell Technologies

Cloudera

We are excited to announce the winners of the 2023 EMEA Partner of the Year awards, presented this month at our EMEA Partner Summit in Lisbon, Portugal. These awards recognize Cloudera’s EMEA partners who are dedicated to transforming the future of data by leveraging the most complete hybrid, multi-cloud data platform. EMEA Partner of the Year: IBM IBM continues to be a key strategic partner, on track for another breakout year!

AWS 106
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6 Artificial Intelligence Myths Debunked: Separating Fact from Fiction

KDnuggets

Discover the truth behind popular AI myths and dive deep into the genuine capabilities and impact of Generative AI in today's world.

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How to upgrade your Hive tables to Unity Catalog

databricks

In this blog we will demonstrate with examples, how you can seamlessly upgrade your Hive metastore (HMS)* tables to Unity Catalog (UC) using.

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Better Manage and Optimize Your Snowflake Spend In One Place With the New Cost Management Interface

Snowflake

In the ever-evolving world of data management, Snowflake is at the forefront of empowering our customers to make informed decisions about data while ensuring cost efficiency and control. Admins know that managing and optimizing platform costs can be a complex and time-consuming task. To help them more intuitively understand, control and optimize spend from one centralized place, Snowflake is introducing the new Cost Management Interface (private preview).

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.