Tue.May 14, 2024

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5 Free University Courses to Learn Machine Learning

KDnuggets

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

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What Separates Hybrid Cloud and ‘True’ Hybrid Cloud?

Cloudera

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate.

Cloud 98
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Building DBRX-class Custom LLMs with Mosaic AI Training

databricks

We recently introduced DBRX : an open, state-of-the-art, general-purpose LLM. DBRX was trained, fine-tuned, and evaluated using Mosaic AI Training, scaling training to.

Building 107
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Snowflake Advanced Certifications: Level Up to SnowPro Advanced and Show Off Your Snowflake Expertise

Snowflake

Did you know that Snowflake has five advanced role-based certifications to help you stand out in the data community as a Snowflake expert? The Snowflake Advanced Certification Series (Architect, Data Engineer, Data Scientist, Administrator, Data Analyst) offers role-based certifications designed for Snowflake practitioners with one to two years of experience (depending on the program).

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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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How a Leading Venture Capital Firm is Building GenAI with Databricks

databricks

Successfully building GenAI applications means going beyond just leveraging the latest cutting-edge models. It requires the development of compound AI systems that integrate.

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Pursue a Master’s in Data Science with the 3rd Best Online Program 2024

KDnuggets

100% online master’s program with flexible schedules designed for working professionals. Enrolling now for October 28th.

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Preserving Data Privacy in Life Sciences: How Snowflake Data Clean Rooms Make It Happen

Snowflake

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.” However, once anonymized, this data can be used for other inferences in what we can collectively define as secondary analyses.

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Data Observability and Data Quality Testing Certification Series

DataKitchen

Data Observability and Data Quality Testing Certification Series We are excited to invite you to a free four-part webinar series that will elevate your understanding and skills in Data Observation and Data Quality Testing. This series is crafted for professionals eager to deepen their knowledge and enhance their data management practices, whether you are a seasoned data engineer, a data quality manager, or just passionate about data.

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Behind the scenes of Threads for web

Engineering at Meta

When Threads first launched one of the top feature requests was for a web client. In this episode of the Meta Tech Podcast, Pascal Hartig ( @passy ) sits down with Ally C. and Kevin C., two engineers on the Threads Web Team that delivered the basic version of Threads for web in just under three months. Ally and Kevin share how their team moved swiftly by leveraging Meta’s shared infrastructure and the nimble engineering practices of their colleagues who built Threads for iOS and Android.

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Text SAM: Extracting GIS Features Using Text Prompts

ArcGIS

Prompt Segment Anything Model (SAM) with free form text to extract features in your imagery

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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Understanding Dataform Terminologies And Authentication Flow

Towards Data Science

MLOps: Data Pipeline Orchestration Part 1 of Dataform 101: Fundamentals of a single repo, multi-environment Dataform with least-privilege access control and infrastructure as code setup A typical positioning of Dataform in a data pipeline [Image by author] Dataform is a new service integrated into the GCP suite of services which enables teams to develop and operationalise complex, SQL-based data pipelines.

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Analyzing AWS Audit Logs in Real Time Using Confluent Cloud and Amazon EventBridge

Confluent

Explore the practical applications of using the Destinations EventBridge API to send data in real time to Confluent, enabling a myriad of use cases. In the blog we will focus specifically on real-time analysis of AWS audit logs.

AWS 69
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Precisely Customers Home Depot, Sobeys, and Novelis Share Their Best Practices at the Automate User Group

Precisely

Precisely kicked off the second in a series of quarterly Automate User Group events in Atlanta back in March. These user groups – also known as Inspiration Days – allow attendees to gain knowledge and share real-world results and insights with their peers. The interactive event brought Precisely Automate customers together for two jam-packed days of knowledge sharing and learning through presentations, demos from Precisely engineers, and Q&A discussions.

Finance 69
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The Evolution of Table Formats

Monte Carlo

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. Modern table formats are far more than a collection of columns and rows. Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your uns

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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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Introducing the Connect with Confluent Partner Landscape and Q2 Program Entrants

Confluent

Confluent introduces the CwC partner landscape and new program entrants for Q2 2024.

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Advancing Image Segmentation with SAM: Segment Anything Model

ArcGIS

Learn about our SAM pretrained deep learning model available in ArcGIS Living Atlas of the World.

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Snowflake Summit 2024: Power Up your Data Pipeline with Hevo

Hevo

Attending Snowflake Summit 2024? So are we! Here’s how you can connect with Hevo while you’re in San Francisco from June 3rd-6th. Explore this blog to discover everything you need to know about the Hevo booth, our speaker session, how to register, and much more.

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Text SAM: Extracting GIS Features Using Text Prompts

ArcGIS

Prompt Segment Anything Model (SAM) with free form text to extract features in your imagery

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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.