Wed.Nov 01, 2023

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What's new in Apache Spark 3.5.0 - watermark propagation

Waitingforcode

Watermark, or rather multiple watermarks management, has been a thorn in the side of Apache Spark Structured Streaming. It has improved in the previous release (3.4.0) but still had some room for improvement. Well, it did have because the 3.5.0 release brought a serious fix for the multiple watermarks scenario.

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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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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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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 124
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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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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.

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Building Our New Personalized AI-Powered Premium Experience

LinkedIn Engineering

(This article originally appeared on LinkedIn ) Advancements in AI are already starting to transform jobs, skills, and career paths, and we know that our members and customers are thinking about the implications for this new world of work. That’s why I’m excited to share that we’re rolling out a new AI-powered LinkedIn Premium experience , starting with a selected group of US based Premium subscribers today.

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Secure your workspaces with new platform security controls for Databricks on Google Cloud

databricks

We are excited to announce the general availability (GA) of several key security features for Databricks on Google Cloud: Private connectivity with Private.

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Connect with Confluent Continues to Grow in Q4 with AI Partners

Confluent

Confluent’s data streaming expands through native integrations with technology partners and vector database providers.

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Monte Carlo is Kicking Off IMPACT 2023, Keynotes From Data & AI Pioneers

KDnuggets

Register today for IMPACT 2023! Coming Nov. 4th with keynotes from four data & AI pioneers.

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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.

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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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Snowday Announcements for Application Development: Snowpark Container Services, Snowflake Native Apps, Hybrid Tables and more!

Snowflake

Snowflake is announcing new product capabilities that are changing how developers build, deliver, distribute and operate their applications. These new features include programming language and hardware flexibility from Snowpark Container Services, as well as the ability to build, distribute and monetize full-stack apps with the Snowflake Native App Framework; the ability to leverage transactional and analytical data together with Hybrid Tables; and DevOps capabilities including database change m

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Named Entity Recognition: The Mechanism, Methods, Use Cases, and Implementation Tips

AltexSoft

Human languages are complex. They get even more complex when context shows up on the horizon. Let’s take the name Lincoln , for example. Some people will instantly think of the 16th President of the United States, a towering historical figure. For others, however, this will be a car manufacturer with the same name. A simple word, it has different meanings.

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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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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.

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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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Fast, Easy and Secure LLM App Development With Snowflake Cortex

Snowflake

Generative AI (GenAI) and large language models (LLMs) are disrupting the way we work at a global scale. Snowflake is excited to announce an innovative product lineup that brings our platform’s ease of use, security and governance to the GenAI world. Through these new offerings, any user can incorporate LLMs into analytical processes in seconds; developers can create GenAI-powered apps in minutes, or within hours execute powerful workflows, like fine-tuning foundation models on enterprise data —