insideBIGDATA

FEBRUARY 26, 2024

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.

Artificial Intelligence 463

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 463

KDnuggets

FEBRUARY 28, 2024

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

Machine Learning 400

Machine Learning Machine Learning Data Science Data Engineering 400

Data Science Dojo

FEBRUARY 27, 2024

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.

AI 369

AI AI Artificial Intelligence Artificial Intelligence 369

databricks

FEBRUARY 29, 2024

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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Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

insideBIGDATA

FEBRUARY 29, 2024

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.

Big Data 457

Big Data Big Data Cloud Data Database 457

KDnuggets

MARCH 1, 2024

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.

Data Science 397

Data Science 397

Analytics Vidhya

FEBRUARY 26, 2024

Introduction Stuck on a coding problem? Need a fresh perspective on your project? Blackbox.ai is your new AI-powered coding assistant, ready to supercharge your development workflow. Whether you’re seeking code suggestions in real-time, want to chat about complex concepts, or require assistance writing entire sections, Blackbox has you covered.

AI 337

AI AI Analytics Analytics 337

insideBIGDATA

FEBRUARY 27, 2024

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.

Database 417

Database Big Data Big Data Analytics 417

KDnuggets

FEBRUARY 27, 2024

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

Data Analyst 393

Data Analyst Data Science 393

Data Science Dojo

FEBRUARY 24, 2024

AI video generators are tools leveraging artificial intelligence to automate and enhance various stages of the video production process, from ideation to post-production. These generators are transforming the industry by providing new capabilities for creators, allowing them to turn text into videos, add animations, and create realistic avatars and scenes using AI algorithms.

AI 322

AI AI ML ML 322

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

Analytics Vidhya

FEBRUARY 24, 2024

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.

AI 333

AI AI Analytics Analytics 333

insideBIGDATA

FEBRUARY 28, 2024

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).

AI 352

AI AI Deep Learning Deep Learning 352

KDnuggets

FEBRUARY 28, 2024

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

Deep Learning 391

Deep Learning Deep Learning Database AI 391

databricks

FEBRUARY 27, 2024

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.

Data Engineer 321

Data Engineer Data Engineering Data Engineering Data Engineering 321

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

Analytics Vidhya

FEBRUARY 27, 2024

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.

Natural Language Processing 329

Natural Language Processing Analytics Analytics 329

Data Science Dojo

MARCH 1, 2024

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.

ETL 307

ETL Artificial Intelligence Artificial Intelligence Data Quality 307

KDnuggets

FEBRUARY 26, 2024

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

Data Science 380

Data Science 380

Machine Learning Mastery

MARCH 1, 2024

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.

SQL 293

SQL Data Scientist Database Data Analysis 293

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

Analytics Vidhya

FEBRUARY 27, 2024

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.

Artificial Intelligence 329

Artificial Intelligence Artificial Intelligence AI AI 329

databricks

FEBRUARY 29, 2024

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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KDnuggets

FEBRUARY 29, 2024

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

Data Science 367

Data Science 367

insideBIGDATA

FEBRUARY 26, 2024

In this contributed article, Edwin Pahk, SVP of Presales & Customer Success at Aquant, discusses how AI is revolutionizing industries, especially in the service sector involving complex equipment maintenance, by promising efficiency and innovation. However, its integration faces challenges like adapting infrastructure, cultural shifts, and the need for evolved employee skills, requiring a human-in-the-loop approach and transforming AI vendors from mere providers to strategic advisors, while

AI 273

AI AI Deep Learning Deep Learning 273

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?

Analytics Vidhya

FEBRUARY 29, 2024

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.

Python 326

Python Analytics Analytics Machine Learning 326

databricks

FEBRUARY 28, 2024

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

Data Engineer 278

Data Engineer Data Engineering Data Engineering Data Engineering 278

KDnuggets

MARCH 1, 2024

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.

Data Science 351

Data Science Machine Learning Machine Learning 351

Adrian Bridgwater for Forbes

FEBRUARY 25, 2024

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.

AI 268

AI AI Big Data Big Data 268

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Analytics Vidhya

MARCH 1, 2024

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

Python 325

Python Analytics Analytics Artificial Intelligence 325

Data Science Dojo

MARCH 1, 2024

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.

AI 243

AI AI 243

KDnuggets

FEBRUARY 26, 2024

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.

Python 347

Python 347

insideBIGDATA

MARCH 1, 2024

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.

AI 243

AI AI Deep Learning Deep Learning 243

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!