Sat.Feb 24, 2024 - Fri.Mar 01, 2024

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A Brief Overview of the Strengths and Weaknesses Artificial Intelligence 

insideBIGDATA

In this contributed article, editorial consultant Jelani Harper suggests that since there are strengths and challenges for each form of AI, prudent organizations will combine these approaches for the most effective results. Certain solutions in this space combine vector databases and applications of LLMs alongside knowledge graph environs, which are ideal for employing Graph Neural Networks and other forms of advanced machine learning.

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Collection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps

KDnuggets

Begin your data professional journey from the basics of statistics to building a production-grade AI application.

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Mistral AI’s Large Model: A Formidable Challenger to GPT-4

Data Science Dojo

In the dynamic world of artificial intelligence, strides in innovation are commonplace. At the forefront of these developments is Mistral AI , a European company emerging as a strong contender in the Large Language Models (LLM) arena with its latest offering: Mistral Large. With capabilities meant to rival industry giants, Mistral AI is poised to leave a significant imprint on the tech landscape.

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Announcing Public Preview of Delta Sharing with Cloudflare R2 Integration

databricks

Special thanks to Phillip Jones, Senior Product Manager, and Harshal Brahmbhatt, Systems Engineer from Cloudflare for their contributions to this blog. Organizations across.

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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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Heard on the Street – 2/29/2024

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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Vector Database for LLMs, Generative AI, and Deep Learning

KDnuggets

Exploring the limitless possibilities of AI and making it context-aware.

More Trending

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Performance Improvements for Stateful Pipelines in Apache Spark Structured Streaming

databricks

Introduction Apache Spark™ Structured Streaming is a popular open-source stream processing platform that provides scalability and fault tolerance, built on top of the S.

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NEW RESEARCH: Growing Database Complexity Will Fuel Significant Skills Gaps in 2024

insideBIGDATA

Increasing complexity, the rapid adoption of emerging technologies and a growing skills gap are the biggest concerns facing IT leaders in 2024, according to The State of the Database Landscape,a major new survey from end-to-end Database DevOps provider Redgate.

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Top 6 YouTube Series for Data Science Beginners

KDnuggets

Want to start your data science journey from home, for free, and work at your own pace? Have a dive into this data science roadmap using the YouTube series.

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Stability AI Introduces Stable Diffusion 3: Next-Gen Advancements in AI Imagery

Analytics Vidhya

Stability AI has announced the arrival of Stable Diffusion 3, the latest advancement in AI imagery technology. This new model promises significant improvements in text-to-image generation, boasting enhanced performance and quality. As the anticipation builds around Stable Diffusion 3, let’s delve into the key features and advancements of this innovative AI model.

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Apache Airflow® Best Practices: 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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How to Unit Test Machine Learning Code & Models

Eugene Yan

How it differs from unit testing typical software and some guidelines

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Securing GenAI in the Enterprise

insideBIGDATA

Opaque Systems released a new whitepaper titled "Securing GenAI in the Enterprise.” Enterprises are chomping at the bit to use GenAI to their benefit but they are stuck. Data privacy is the number one factor that stalls GenAI initiatives. Concerns about data leaks, malicious use, and ever-changing regulations loom over the exciting world of Generative AI (GenAI), specifically large language models (LLMs).

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Free Data Analyst Bootcamp for Beginners

KDnuggets

Want to become a data analyst? This free beginner-friendly data analyst bootcamp is all you need.

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How to Use Gemma LLM?

Analytics Vidhya

Introduction Large language models (LLMs) are increasingly becoming powerful tools for understanding and generating human language. These models have achieved state-of-the-art results on different natural language processing tasks, including text summarization, machine translation, question answering, and dialogue generation. LLMs have even shown promise in more specialized domains, like healthcare, finance, and law.

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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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LlamaIndex vs LangChain: Understand the key differences

Data Science Dojo

LLMs have become indispensable in various industries for tasks such as generating human-like text, translating languages, and providing answers to questions. At times, the LLM responses amaze you, as they are more prompt and accurate than humans. This demonstrates their significant impact on the technology landscape today. As we delve into the arena of artificial intelligence, two tools emerge as pivotal enablers: LLamaIndex and LangChain.

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Beyond SQL: Transforming Real Estate Data into Actionable Insights with Pandas

Machine Learning Mastery

In the realm of data analysis, SQL stands as a mighty tool, renowned for its robust capabilities in managing and querying databases. However, Python’s pandas library brings SQL-like functionalities to the fingertips of analysts and data scientists, enabling sophisticated data manipulation and analysis without the need for a traditional SQL database.

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7 Free Harvard University Courses to Advance Your Skills

KDnuggets

Transform your tech career with one of the best universities in the world!

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Microsoft Invests in Mistral AI to Launch GPT-4 Rival

Analytics Vidhya

In a significant move within the AI industry, Microsoft has forged a strategic partnership with Mistral AI, to revolutionize generative artificial intelligence. The first outcome of their partnership is Mistral Large, a language model proven to be as good as OpenAI’s GPT-4. This partnership signals a paradigm shift in the landscape of AI innovation.

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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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Adding Intelligence to Databricks Search

databricks

We are thrilled to announce major improvements to the search capabilities in your Databricks workspace. These enhancements build on DatabricksIQ, the Data Intelligence.

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NTT Data + Schneider Electric Fuse Data For Stronger ‘Edge’ IT

Adrian Bridgwater for Forbes

Robot arms will start to use AI functions to understand what’s happening next on the production line, whether they need maintenance and what time tea break is.

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5 Free Courses to Master Statistics for Data Science

KDnuggets

Want to learn statistics for data science? Check out these free courses to learn essential statistics concepts.

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A-Z About Python Arrays

Analytics Vidhya

Introduction Arrays in Python are data structures that can hold multiple values of the same data type. They provide a way to store and manipulate collections of data efficiently. In this article, we will explore how to work with arrays in Python, including creating arrays, accessing and manipulating array elements, performing array operations, working with […] The post A-Z About Python Arrays 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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A Deep Dive into the Latest Performance Improvements of Stateful Pipelines in Apache Spark Structured Streaming

databricks

This post is the second part of our two-part series on the latest performance improvements of stateful pipelines. The first part of this.

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The economic potential of generative AI within the chip design industry

Data Science Dojo

In today’s rapidly evolving technological world, the economic potential of generative AI and other cutting-edge industrial developments is more pronounced than ever before. AI and the chip industry are pivotal in modern-day innovations and growth. It is important to navigate the impact and economic potential of generative AI in the chip design industry as it maps out the technological progress and innovation in the digital world.

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Top 5 Linux Distro for Data Science

KDnuggets

If you are considering transitioning from Microsoft Windows to another operating system that suits your needs, check out these five Linux distributions for data science and machine learning.

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Here’s How You Can Read JSON Files in Python

Analytics Vidhya

Introduction Navigating through JSON data in Python opens doors to seamless data manipulation and analysis. JSON, or JavaScript Object Notation, is a lightweight data exchange format widely employed online. This guide discusses the significance of reading JSON files within Python’s versatile ecosystem. Discover various methods, from leveraging the JSON module to utilizing Pandas and best […] The post Here’s How You Can Read JSON Files in Python appeared first on Analytics Vidhy

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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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Generative AI Report – 3/1/2024

insideBIGDATA

Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines.

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The Unconscious Patient Problem: A Look at the Importance Of Entity Resolution in Healthcare and Life Sciences

databricks

This blog was written in collaboration with Tim Sedlak, Senior Solutions Architect at Stardog In healthcare and life sciences, accuracy is everything. That's.

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8 Built-in Python Decorators to Write Elegant Code

KDnuggets

Developers can modify a function's behavior using decorators, without changing its source code. This provides a concise and flexible way to enhance and extend the functionality of functions.

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Apple Develops New ChatGPT Rival: Ask AI

Analytics Vidhya

Apple is venturing into the realm of artificial intelligence with its latest offering, ‘Ask’ AI. This innovative tool, reminiscent of ChatGPT, is poised to transform customer support services, offering efficient solutions to user queries. Let’s delve into the intricacies of this promising initiative and its implications for Apple users.

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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.