Sat.May 18, 2024 - Fri.May 24, 2024

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FinTech Studios® Launches Apollo PRO® and RegLens PRO® Market Intelligence and Regulatory Intelligence Apps Powered with Conversational Generative AI 

insideBIGDATA

FinTech Studios Inc., a leading Gen AI platform for enterprise search, market intelligence and regulatory intelligence, announced Apollo PRO and RegLens PRO, the most advanced generative AI enterprise search, market intelligence and regulatory intelligence apps that includes a “conversational chat” interface and contextually relevant “suggested prompts”, seamlessly integrated with millions of authoritative sources of web and enterprise content.

AI 476
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Building Reliable Agent using Advanced Rag Techniques, LangGraph, and Cohere LLM

Analytics Vidhya

Introduction LLM Agents play an increasingly important role in the generative landscape as reasoning engines. But most of the agents have the shortcomings of failing or going into hallucinations. However, agents face formidable challenges within Large Language Models (LLMs), including context understanding, coherence maintenance, and dynamic adaptability.

Analytics 374
professionals

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Where to Go Next in Your Data Career

KDnuggets

We are all looking for the right opportunities in our career. In the landscape of data-related careers, the roles can be grouped into classes, and future opportunities tend to follow natural migration paths between the class groups.

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Introducing Databricks Assistant Autocomplete

databricks

We are excited to introduce Databricks Assistant Autocomplete now in Public Preview. This feature brings the AI-powered assistant to you in real-time, providing.

AI 357
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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

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Data-Driven Sustainability: Beyond Numbers, Towards Action

insideBIGDATA

In this contributed article, Supratik Shankar, Co-founder of Dview Technologies, explores how data analytics and insights can be leveraged to achieve sustainability goals, the challenges and opportunities in implementing data-driven sustainability initiatives, and the future trends that will shape this field.

Analytics 453
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Simplifying Document Parsing: Extracting Embedded Objects with LlamaParse

Analytics Vidhya

Introduction LlamaParse is a document parsing library developed by Llama Index to efficiently and effectively parse documents such as PDFs, PPTs, etc. Creating RAG applications on top of PDF documents presents a significant challenge many of us face, specifically with the complex task of parsing embedded objects such as tables, figures, etc. The nature of […] The post Simplifying Document Parsing: Extracting Embedded Objects with LlamaParse appeared first on Analytics Vidhya.

Analytics 343

More Trending

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Announcing General Availability of Liquid Clustering

databricks

We’re excited to announce the General Availability of Delta Lake Liquid Clustering in the Databricks Data Intelligence Platform. Liquid Clustering is an innovative.

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5 Essential Free Tools for Getting Started with LLMs

Machine Learning Mastery

Image created by Author using Midjourney Large language models (LLMs) have become extremely prominent and useful for all sorts of tasks, but new users may find the large number of LLM tools and utilities intimidating. This article focuses on 5 of the available and widely-useful such tools, all of which are no-cost and created to […] The post 5 Essential Free Tools for Getting Started with LLMs appeared first on MachineLearningMastery.com.

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Microsoft Phi-3: From Language to Vision, this New AI Model is Transforming AI

Analytics Vidhya

Introduction Microsoft has pushed the boundaries with its latest AI offerings, the Phi-3 family of models. These compact yet mighty models were unveiled at the recent Microsoft Build 2024 conference and promise to deliver exceptional AI performance across diverse applications. The family includes the bite-sized Phi-3-mini, the slightly larger Phi-3-small, the midrange Phi-3-medium, and the […] The post Microsoft Phi-3: From Language to Vision, this New AI Model is Transforming AI appeared

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Harvard’s Top Free Courses for Aspiring Data Scientists

KDnuggets

Do you want to start your data science journey? If yes, then these Harvard courses might be perfect to start.

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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Announcing Mosaic AI Vector Search General Availability in Databricks

databricks

Following the announcement we made around a suite of tools for Retrieval Augmented Generation, today we are thrilled to announce the general availability.

AI 341
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Embracing the Potential of Data: Beyond the ‘New Oil’ Metaphor 

insideBIGDATA

In this contributed article, Cal Al-Dhubaib, Head of AI and Data Science at Further, discusses why businesses should treat data like radioactive materials—and how to avoid it becoming a liability.

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Top 5 AI Tools for Your Everyday Use

Analytics Vidhya

Introduction With so many AI tools available today, it can be hard to know which ones are worth your time. While we can’t try them all, it’s helpful to know which ones are best for everyday tasks like programming, planning, and handling long texts. Lex Fridman, a well-known AI researcher and podcaster, recently tweeted about […] The post Top 5 AI Tools for Your Everyday Use appeared first on Analytics Vidhya.

AI 335
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10 GitHub Repositories to Master Data Engineering

KDnuggets

Learn data engineering through free courses, tutorials, books, tools, guides, roadmaps, practice exercises, projects, and other resources.

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

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.

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Optimizing Databricks LLM Pipelines with DSPy

databricks

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools.

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CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Data Science Blog

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with AnalyticsCreator! The need for efficient and reliable data pipelines is paramount in data science and data engineering. This is where Continuous Integration and Continuous Delivery (CI/CD) come into play. CI/CD, a set of processes that help software development teams deliver code changes more frequently and reliably, is part of DevOps.

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Meta’s Chameleon: A New Player in the Multimodal AI Race

Analytics Vidhya

News at a Glance Meta is making strides in artificial intelligence (AI) with a new multimodal LLM named Chameleon. This model, based on early-fusion architecture, promises to integrate different types of information better than its predecessors. With this move, Meta is positioning itself as a strong contender in the AI world. Also Read: Ray-Ban Meta […] The post Meta’s Chameleon: A New Player in the Multimodal AI Race appeared first on Analytics Vidhya.

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7 Steps to Mastering Data Cleaning with Python and Pandas

KDnuggets

Want to learn data cleaning with pandas? This tutorial will teach you everything you need to know.

Python 315
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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Introducing the Databricks AI Fund

databricks

We’re excited to announce the Databricks AI Fund, showcasing our commitment to supporting a new generation of founders and startups.

AI 309
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Tips for Handling Imbalanced Data in Machine Learning

Machine Learning Mastery

Introduction Imperfect data is the norm rather than the exception in machine learning. Comparably common is the binary class imbalance when the classes in a trained data remains majority/minority class, or is moderately skewed. Imbalanced data can undermine a machine learning model by producing model selection biases. Therefore in the interest of model performance and […] The post Tips for Handling Imbalanced Data in Machine Learning appeared first on MachineLearningMastery.com.

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SynthID: Google is Expanding Ways to Protect AI Misinformation

Analytics Vidhya

Introduction With the release of many AI tools, finding AI-generated content is crucial today! It is all due to the widespread dissemination of false information and the potential for spreading hate. AI-generated content can create convincing fake news, deepfakes, and other misleading materials that can manipulate public opinion, incite conflict, and damage reputations.

AI 328
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A Guide to Working with SQLite Databases in Python

KDnuggets

Get started with SQLIte databases in Python using the built-in sqlite3 module.

Database 312
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How to Modernize Manufacturing Without Losing Control

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

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How Real-World Enterprises are Leveraging Generative AI

databricks

Generative AI (GenAI) is moving incredibly fast. So much so, that in less than two years, GenAI has emerged as one of the.

AI 289
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New Research from Elastic Finds Conversational Search Could Yield Staggering Productivity Returns

insideBIGDATA

New research by Elastic (NYSE: ESTC), the company behind Elasticsearch®, found nearly all (99%) global IT decision makers, regardless of region or industry, recognize GenAI's transformative potential to influence change within their organizations. However, early adoption continues to be slowed by chaotic data estates, search challenges, and fears around privacy and security, regulation, and internal skills gaps.

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Top 10 YouTube Channels to Master Python

Analytics Vidhya

Introduction This article highlights 10 exceptional YouTube channels that provide comprehensive tutorials, practical guidance, and engaging content for mastering Python programming. These channels cover various aspects of Python, from statistics to machine learning, AI, and data science. Whether you’re a beginner or an experienced programmer, these channels help you advance your Python knowledge.

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Essential Python Libraries for Data Manipulation

KDnuggets

The must-know Python libraries to improve your data manipulation workflow.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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.

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Delta Sharing: Secure End-to-End Data Sharing Solution

databricks

In today's digital landscape, secure data sharing is critical to operational efficiency and innovation. Databricks and the Linux Foundation developed Delta Sharing as.

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Redefining Digital Engagement in a Cookieless World: The Power of AI and Zero-Party Data

insideBIGDATA

In this contributed article, Christian J. Ward, Executive Vice President and Chief Data Officer at Yext, discusses how before January of this year, up to 83% of marketers relied on third-party data sources for personalization strategies. Now, as cookies continue to phase out, those marketers might be facing a crisis — but it could be an opportunity to create more trustworthy, privacy-respecting strategies in the long run.

AI 259
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Call AI From Your Phone With Arc Search’s ‘Call Arc’ Feature

Analytics Vidhya

News at a Glance The Browser Company has rolled out a unique feature for its iPhone-only Arc Search app, named “Call Arc.” This novel feature lets users ask questions and receive verbal answers by holding their phone to their ear, just like a phone call. It stands out as an innovative twist on traditional voice […] The post Call AI From Your Phone With Arc Search’s ‘Call Arc’ Feature appeared first on Analytics Vidhya.

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How to Fine-Tune BERT for Sentiment Analysis with Hugging Face Transformers

KDnuggets

Find out how to fine-tune BERT for sentiment analysis with Hugging Face Transformers. No unnecessary nonsense, just what you need.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate