Sat.Aug 10, 2024 - Fri.Aug 16, 2024

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InsideAI News on the Move: Join Us at the Premier AI Industry Events!

insideBIGDATA

At InsideAI News, we believe that the best way to stay at the cutting edge of artificial intelligence is by engaging directly with the innovators, thinkers, and leaders driving the industry forward.

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10 Python Libraries Every Data Scientist Should Know

KDnuggets

Want to take the next step in your journey to becoming a data scientist? Check out these Python libraries for data science that you can't do without.

professionals

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Long Context RAG Performance of LLMs

databricks

Retrieval Augmented Generation (RAG) is the most widely adopted generative AI use case among our customers. RAG enhances the accuracy of LLMs by.

AI 363
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Top 10 Telephonic Interview Tips

Analytics Vidhya

Introduction Passing a phone interview may be a criterion for consideration to the next stage of an interview for the next job. It is possibly the only occasion one gets to form a good impression on a prospective employer before the world but without the benefit of a face-to-face conversation. You can do this much […] The post Top 10 Telephonic Interview Tips appeared first on Analytics Vidhya.

Analytics 319
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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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Boomi Discovery Report Reveals More Than Half of Enterprises Invest in GenAI for Integration and Automation 

insideBIGDATA

Boomi™, the intelligent integration and automation leader, announced findings from its Boomi Discovery Report, commissioned by 451 Research. The report, based on perspectives from 650 business and IT leaders across a broad range of industries, outlines how enterprises are using Generative AI (GenAI) to integrate systems and automate processes, and how this has helped their business operations as a result.

AI 312
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Beginner’s Guide to Careers in AI and Machine Learning

KDnuggets

The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

More Trending

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The Role of Natural Language Processing (NLP) in Modern Chatbots

Analytics Vidhya

Introduction Natural Language Processing (NLP) is the process through which a computer understands natural language. The recent progress in NLP forms the foundation of the new generation of generative AI chatbots. NLP architecture has a multifaceted role in the modern chatbot. It enables these chatbots to understand the natural language prompts you give and helps […] The post The Role of Natural Language Processing (NLP) in Modern Chatbots appeared first on Analytics Vidhya.

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New RAND Research – Why do AI Projects Fail?

insideBIGDATA

By some estimates, 80% of AI projects fail – more than double the rate of non-AI IT projects – but why? A group of RAND researchers investigated this issue and found five key problems leading to failure.

AI 307
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Top 5 Free Resources for Learning Advanced SQL Techniques

KDnuggets

Today, we’re looking for five quality resources that will teach you advanced SQL and do it for free.

SQL 361
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Announcing the Generative AI World Cup 2024: A Global Hackathon by Databricks

databricks

Welcome to the Generative AI World Cup 2024 , a global hackathon inviting participants to develop innovative Generative AI applications that solve real-world.

AI 324
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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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A Comprehensive Guide to Extrapolation

Analytics Vidhya

Introduction Suppose there is a farmer who daily observes the progress of crops in several weeks. He looks at the growth rates and begins to ponder about how much more taller his plants could grow in another few weeks. From the existing data, he makes an approximate forecast of further increase. This operation of assuming […] The post A Comprehensive Guide to Extrapolation appeared first on Analytics Vidhya.

Analytics 317
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Free Tools Every ML Beginner Should Use

Machine Learning Mastery

We have all experienced it: starting is the toughest part of any journey. So getting started in the ML field wouldn’t be any different. This is why today I want to highlight some of the essential tools that every beginner — or person willing to get started — with ML should be using. Jupyter Notebook […] The post Free Tools Every ML Beginner Should Use appeared first on MachineLearningMastery.com.

ML 295
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5 Tools for Automating Data Cleaning Processes

KDnuggets

Struggling with time-consuming data cleaning tasks? Discover five tools that can automate and simplify the process.

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Databricks SQL Serverless is now available on Google Cloud Platform

databricks

Databricks SQL Serverless is now Generally Available on Google Cloud Platform (GCP)! SQL Serverless is available in 7 GCP regions and 40+ regions across AWS, Azure and GCP.

SQL 321
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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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Top 7 Algorithms for Data Structures in Python

Analytics Vidhya

Introduction Algorithms and data structures are the foundational elements that can also efficiently support the software development process in programming. Python, an easy-to-code language, has many features like a list, dictionary, and set, which are built-in data structures for the Python language. However, the wizards are unleashed by applying the algorithms in these structures.

Algorithm 317
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The Strategic Use of Sequential Feature Selector for Housing Price Predictions

Machine Learning Mastery

To understand housing prices better, simplicity and clarity in our models are key. Our aim with this post is to demonstrate how straightforward yet powerful techniques in feature selection and engineering can lead to creating an effective, simple linear regression model. Working with the Ames dataset, we use a Sequential Feature Selector (SFS) to identify […] The post The Strategic Use of Sequential Feature Selector for Housing Price Predictions appeared first on MachineLearningMastery.com

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The Only Prompting Framework for Every Use

KDnuggets

This prompt engineering framework significantly enhances your interactions with AI systems.

AI 324
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Beyond the Leaderboard: Unpacking Function Calling Evaluation

databricks

1. Introduction The research and engineering community at large have been continuously iterating upon Large Language Models (LLMs) in order to make them.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

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.

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Most Used 10 Power BI Charts

Analytics Vidhya

Introduction As the availability and importance of information as a robust asset increases in the modern global economy, it becomes essential to represent the information appropriately, especially to audiences with a non-technical background. Visualizations close the gap between big data and a more understandable realization of the data provided. Microsoft’s Power BI tool is an […] The post Most Used 10 Power BI Charts appeared first on Analytics Vidhya.

Power BI 316
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Building a Simple RAG Application Using LlamaIndex

Machine Learning Mastery

In this tutorial, we will explore Retrieval-Augmented Generation (RAG) and the LlamaIndex AI framework. We will learn how to use LlamaIndex to build a RAG-based application for Q&A over the private documents and enhance the application by incorporating a memory buffer. This will enable the LLM to generate the response using the context from both […] The post Building a Simple RAG Application Using LlamaIndex appeared first on MachineLearningMastery.com.

AI 277
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Tools Every AI Engineer Should Know: A Practical Guide

KDnuggets

Explore essential tools and skills for AI engineers: Python, R, big data frameworks, and cloud services essential for building and optimizing AI systems.

Big Data 320
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An Introduction to Time Series Forecasting with Generative AI

databricks

An Introduction to Time Series Forecasting with Generative AI Time series forecasting has been a cornerstone of enterprise resource planning for decades. Predictions.

AI 306
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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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Top 10 GitHub Repositories to Master Statistics

Analytics Vidhya

Introduction Statistics is a cornerstone of data science, machine learning, and many analytical domains. Mastering it can significantly enhance your ability to interpret data and make informed decisions. GitHub hosts numerous repositories that are excellent resources for anyone looking to deepen their statistical knowledge. This looks at the top 10 GitHub repositories that can help […] The post Top 10 GitHub Repositories to Master Statistics appeared first on Analytics Vidhya.

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Google Cloud Tightens Seal On Air-Gapped Software

Adrian Bridgwater for Forbes

Google Distributed Cloud air-gapped appliance is a physical device roughly 100-pounds in weight that can be carried by two people.

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10 Python Statistical Functions

KDnuggets

This guide will go over 10 essential statistical functions in Python using commonly-used libraries.

Python 317
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Building a robust data stewardship tool in life sciences

databricks

This blog was written in collaboration with Gordon Strodel, Director, Data Strategy & Analytics Capability, in addition to Abhinav Batra, Associate Principal, Enterprise.

Analytics 294
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How to Achieve High-Accuracy Results When Using LLMs

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

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Transforming Financial Reporting with AI and NLG

Analytics Vidhya

Introduction In business, financial analysis and reporting are critical for strategic decision-making and operational oversight. These processes provide senior management and stakeholders with key insights into a company’s performance, financial health, and future prospects. Traditionally, financial reporting and analysis have been time-consuming, requiring expertise to interpret complex data and generate actionable business intelligence.

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Synthetic Data Solves AI’s Biggest Problem

insideBIGDATA

In this contributed article, Kalyan Veeramachaneni, co-founder and CEO of DataCebo, discusses how synthetic data is a useful application of AI technology that is already delivering real, tangible value to customers. More than mere fake data, synthetic data supports data-driven business systems throughout their lifecycle, particularly where ongoing access to production data is impractical or ill-advised.

AI 259
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Speeding Up Your Python Code with NumPy

KDnuggets

Why NumPy is significantly faster than standard Python code execution.

Python 314
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Databricks University Alliance Crosses 1,000 University Threshold

databricks

Databricks is thrilled to share that our University Alliance has welcomed its one-thousandth-member school! This milestone is a testament to our mission to.

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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!