Sat.Apr 20, 2024 - Fri.Apr 26, 2024

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Artificial Intelligence Means Smaller Teams Doing More with Less Makes the Small Autonomous Teams Structure Even More Important 

insideBIGDATA

In this contributed article, Brady Brim-DeForest, CEO of Formula.Monks, discusses how the more that we incorporate AI technology into white collar workflows in large organizations, the more that it becomes important to lean into the work structures that make humans function at their best.

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7 Python Libraries Every Data Engineer Should Know

KDnuggets

Interested in switching to data engineering? Here’s a list of Python libraries you’ll find super helpful.

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OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Machine Learning Research at Apple

The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and enabling investigations into data and model biases, as well as potential risks. To this end, we release OpenELM, a state-of-the-art open language model. OpenELM uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy.

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Announcing the General Availability of Databricks Asset Bundles

databricks

We're thrilled to announce the General Availability (GA) of Databricks Asset Bundles (DABs). With DABs you can easily bundle resources like jobs.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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What AI Could, Should, and Would Do

insideBIGDATA

In this contributed article, Dr. Chirag Shah, professor in the Information School at the University of Washington, highlights how we are at a crossroads in our relationship with AI where what we choose now can have a huge impact on the future of AI and that of humanity. So the question is -- how do we make good choices? Let’s start by examining two extreme visions of AI.

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5 Free Stanford University Courses to Learn Data Science

KDnuggets

Are you an aspiring data scientist? If so, these free data science courses from Stanford will help you move forward in your data science journey!

More Trending

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Unity Catalog Lakeguard: Industry-first and only data governance for multi-user Apache™ Spark clusters

databricks

Unlock the power of Apache Spark™ with Unity Catalog Lakeguard on Databricks Data Intelligence Platform. Run SQL, Python & Scala workloads with full data governance & cost-efficient multi-user compute.

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Amazon Bedrock Widens Menu: It’s Your AI, Have It Your Way

Adrian Bridgwater for Forbes

AI is now being served, for real… and in a whole range of different flavors, shapes and sizes. Would you care for a menu sir/madam?

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Retrieval Augmented Generation: Where Information Retrieval Meets Text Generation

KDnuggets

This article introduces retrieval augmented generation, which combines text generation with informaton retrieval in order to improve language model output.

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Hugging Face Launches Open Medical-LLM Leaderboard to Evaluate GenAI in Healthcare

Analytics Vidhya

Generative AI models hold promise for transforming healthcare, but their application raises critical questions about accuracy and reliability. Hugging Face has launched an Open Medical-LLM Leaderboard aiming to address these concerns. It provides a standardized platform to evaluate and compare models’ performance in various medical tasks. Let’s find out how this helps improve healthcare and […] The post Hugging Face Launches Open Medical-LLM Leaderboard to Evaluate GenAI in Healthcar

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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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Register now and save 50% on training at Data + AI Summit

databricks

For a limited time, we're offering 50% off training and certification at Data + AI Summit with the following code: TRAIN50FOTY. This offer.

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Heard on the Street – 4/25/2024

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

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7 Best Platforms to Practice Python

KDnuggets

Looking to level up your Python skills and ace coding interviews? Start practicing today on these platforms.

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Mistral’s New Model Crushes Benchmarks in 4+ Languages

Analytics Vidhya

Mixtral 8x22B by Mistral AI Crushes Benchmarks in 4+ Languages The post Mistral’s New Model Crushes Benchmarks in 4+ Languages appeared first on Analytics Vidhya.

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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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Announcing the winners of the Databricks Generative AI Hackathon

databricks

We’re excited to announce the Databricks Generative AI Hackathon winners. This hackathon garnered hundreds of data and AI practitioners spanning 60 invited companies.

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Nature Communications Publishes Zapata AI Research on Generative AI for Optimization

insideBIGDATA

Zapata Computing Holdings Inc. (Nasdaq: ZPTA), the Industrial Generative AI company, announced that its foundational research on generator-enhanced optimization (GEO) has been published in the esteemed Nature Communications journal. The research, titled “Enhancing Combinatorial Optimization with Classical and Quantum Generative Models,” introduces Generator-Enhanced Optimization (GEO), a novel optimization method that leverages the power of generative modeling to suggest high-quality candidate s

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Is Data Science a Bubble Waiting to Burst?

KDnuggets

The need for data science has not decreased or been replaced; instead, it’s the field of data science maturing, with a greater demand for specialized skills and practical experience.

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Top 10 Programming Languages in 2024

Analytics Vidhya

Introduction With technology changing all the time, learning the most useful programming languages is super important. Today’s digital world moves really fast, being a skilled coder with the right programming language can give you wings to fly in this digital world or it can give you a big advantage and open doors to cool jobs […] The post Top 10 Programming Languages in 2024 appeared first on Analytics Vidhya.

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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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Using proxy servers for SEO tools: Enhancing your digital strategy

Dataconomy

In the competitive landscape of online marketing, achieving high rankings in search engine results is crucial for driving traffic, increasing visibility, and, ultimately, generating leads and conversions. To improve website rankings in Google and Bing search results, digital marketers often leverage various SEO tools and strategies. However, many of these tools require the use of proxy servers to function effectively.

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How to Use Raw Data in Web Analytics

insideBIGDATA

In this contributed article, Mateusz Krempa, Chief Operations Officer for Piwik PRO, explores the benefits and challenges of using raw data in analytics, and discusses its potential use cases for gaining valuable insights.

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Free Google Cloud Learning Path for Gemini

KDnuggets

Find out all about Google Cloud's latest learning path, and learn how to use the Gemini language model in the Google Cloud.

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Ray-Ban Meta Smart Glasses Get a Multimodal AI Upgrade

Analytics Vidhya

Ray-Ban Meta Smart Glasses have garnered attention for their sleek design and multifunctionality. The latest addition of multimodal AI enhances the utility of these AI glasses, offering users a seamless blend of technology and fashion. Let’s delve into the details of this innovative update and its implications. Also Read: Here’s the Latest AI-powered VR Glasses […] The post Ray-Ban Meta Smart Glasses Get a Multimodal AI Upgrade appeared first on Analytics Vidhya.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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The LLM context window paradox: Is bigger always better?

Data Science Dojo

Large language models (LLMs) are trained on massive textual data to generate creative and contextually relevant content. Since enterprises are utilizing LLMs to handle information effectively, they must understand the structure behind these powerful tools and the challenges associated with them. One such component worthy of attention is the llm context window.

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Unveiling Jamba: AI21’s Groundbreaking Hybrid SSM-Transformer Open-Source Model

insideBIGDATA

AI21, a leader in AI systems for the enterprise, unveiled Jamba, the production-grade Mamba-style model – integrating Mamba Structured State Space model (SSM) technology with elements of traditional Transformer architecture. Jamba marks a significant advancement in large language model (LLM) development, offering unparalleled efficiency, throughput, and performance.

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7 End-to-End MLOps Platforms You Must Try in 2024

KDnuggets

List of top MLOPs platforms that will help you with integration, training, tracking, deployment, monitoring, CI/CD, and optimizing the infrastructure.

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KissanAI Unveils Dhenu Llama 3: A Revolutionary Agricultural AI Model

Analytics Vidhya

KissanAI has made waves in the agricultural sector with the introduction of Dhenu Llama 3, a cutting-edge AI model tailored specifically for farmers. This innovative creation, fine-tuned on Meta’s Llama 3 8B architecture, promises enhanced capabilities and superior performance benchmarks. Let’s delve deeper into this innovative development.

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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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Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

Machine Learning Research at Apple

On-device machine learning (ML) moves computation from the cloud to personal devices, protecting user privacy and enabling intelligent user experiences. However, fitting models on devices with limited resources presents a major technical challenge: practitioners need to optimize models and balance hardware metrics such as model size, latency, and power.

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The Solution to Data in Motion Is to Just Stop

insideBIGDATA

In this contributed article, Sida Shen, product marketing manager, CelerData, discusses how data lakehouse architectures promise the combined strengths of data lakes and data warehouses, but one question arises: why do we still find the need to transfer data from these lakehouses to proprietary data warehouses? In this article, we'll explore how to maximize the efficiency of lakehouses, eliminate data in motion, and streamline data management processes.

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How to Standout and Safeguard Your Job in the Generative AI Era

KDnuggets

The secret recipe to excel in your career in AI.

AI 297
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Big Tech Giants to Big Dreams, Candidly Catching up with Vijay Karunamurthy

Analytics Vidhya

In this episode of Leading with Data, we delve into the key insights shared by Vijay Karunamurthy, a seasoned AI professional with a rich background in engineering and machine learning. From his pioneering work at YouTube and Apple to his current role as Field Chief Technology Officer at Scale AI, Vijay offers invaluable perspectives on the evolving landscape of artificial […] The post Big Tech Giants to Big Dreams, Candidly Catching up with Vijay Karunamurthy appeared first on Analytics V

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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.