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Comparing LLMs for Text Summarization and Question Answering

Analytics Vidhya

Large Language Models like BERT, T5, BART, and DistilBERT are powerful tools in natural language processing where each is designed with unique strengths for specific tasks. Whether it’s summarization, question answering, or other NLP applications. These models vary in their architecture, performance, and efficiency. In our code we will compare these models across two tasks: […] The post Comparing LLMs for Text Summarization and Question Answering appeared first on Analytics Vidhya.

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Unbundling the Graph in GraphRAG

O'Reilly on Data

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. The haphazard results may be entertaining, although not quite based in fact.

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3 Ways to Use GPT 4o Like a Pro with Canvas

Analytics Vidhya

Most of us today use ChatGPT for creating content, doing research, and a number of other daily tasks. Did you know you can now get more contextual responses and edit specific parts of the content on ChatGPT? Yes, this is now possible with the Canvas integration on OpenAI’s GPT-4o model. GPT-4o with Canvas lets you […] The post 3 Ways to Use GPT 4o Like a Pro with Canvas appeared first on Analytics Vidhya.

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Bigeye Enable Monitoring, Quality and Lineage of Data

David Menninger's Analyst Perspectives

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis. Maintaining quality and trust is a perennial data management challenge, the importance of which has come into sharper focus in recent years thanks to the rise of artificial intelli

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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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Shortsighted CEOs leave CIOs with increasing tech debt

CIO Business Intelligence

Many organizations are mortgaging their futures by reallocating IT resources from long-term projects to achieve short-term wins, according to a recent survey of CEOs. Two-thirds of CEOs surveyed by the IBM Institute for Business Value acknowledge raiding long-term IT projects to achieve short-term goals. At the same time, the CEOs surveyed see a focus on short-term performance as the top barrier to innovation.

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AnythingLLM: The LLM Application You’ve Been Waiting For

KDnuggets

Turn any document into a conversation-ready AI tool with AnythingLLM — a versatile, open-source platform for building a secure, private assistant.

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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

We are excited to announce the acquisition of Octopai , a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights.

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7 ways gen AI can create more work than it saves

CIO Business Intelligence

JP Morgan Chase president Daniel Pinto says the bank expects to see up to $2 billion in value from its AI use cases, up from a $1.5 billion estimate in May. And speaking at the Barclays Global Financial Services conference in September, he said gen AI will have a big impact in improving processes and efficiencies. The company has already rolled out a gen AI assistant and is also looking to use AI and LLMs to optimize every process.

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How to Implement Named Entity Recognition with Hugging Face Transformers

KDnuggets

Let's take a look at how we can perform NER using that Swiss army knife of NLP and LLM libraries, Hugging Face's Transformers.

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OmniGen: A Unified Approach to Image Generation

Analytics Vidhya

Generative foundation models have revolutionized Natural Language Processing (NLP), with Large Language Models (LLMs) excelling across diverse tasks. However, the field of visual generation still lacks a unified model capable of handling multiple tasks within a single framework. Existing models like Stable Diffusion, DALL-E, and Imagen excel in specific domains but rely on task-specific extensions […] The post OmniGen: A Unified Approach to Image Generation appeared first on Analytics Vidh

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Expand data access through Apache Iceberg using Delta Lake UniForm on AWS

AWS Big Data

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. These formats, designed to address the limitations of traditional data storage systems, have become essential in modern data architectures. As organizations adopt various open table formats to suit their specific needs, the demand for interoperability between these formats has grown significantly.

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Empower Your Cyber Defenders with Real-Time Analytics Author: Carolyn Duby, Field CTO

Cloudera

Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report , there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.

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Agentic AI design: An architectural case study

CIO Business Intelligence

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. But with the advent of GPT-3 in 2020, LLMs exploded onto the scene, captivating the world’s attention and forever altering the landscape of artificial intelligence (AI), and in the process, becoming an essential part of our everyday computing lives.

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7 Ways to Improve Your Data Cleaning Skills with Python

KDnuggets

Improve your Python data cleaning by fixing invalid entries, converting types, encoding variables, handling outliers, selecting features, scaling, and filling missing values.

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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 Comprehensive Guide to Output Parsers

Analytics Vidhya

Output parsers are essential for converting raw, unstructured text from language models (LLMs) into structured formats, such as JSON or Pydantic models, making it easier for downstream tasks. While function or tool calling can automate this transformation in many LLMs, output parsers are still valuable for generating structured data or normalizing model outputs.

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Introducing Point in Time queries and SQL/PPL support in Amazon OpenSearch Serverless

AWS Big Data

Today we announced support for three new features for Amazon OpenSearch Serverless : Point in Time (PIT) search, which enables you to maintain stable sorting for deep pagination in the presence of updates, and Piped Processing Language (PPL) and Structured Query Language (SQL), which give you new ways to query your data. Querying with SQL or PPL is useful if you’re already familiar with the language or want to integrate your domain with an application that uses them.

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Using Machine Learning to Prevent Fraud in E-Commerce Transactions

Smart Data Collective

Empower your e-commerce with machine learning: Your shield against fraud, ensuring safe transactions and happier customers!

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Top 8 failings in delivering value with generative AI and how to overcome them

CIO Business Intelligence

Generative AI (GenAI) is rapidly emerging as a game changer for enterprises, but turning its potential into measurable value remains a significant challenge. According to a recent IDC study (Future Enterprise Resiliency and Spending Survey, Wave 4, IDC, April 2024), companies are conducting an average of 37 GenAI proofs of concept (POCs), with only five advancing to production.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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10 Python Libraries Every Data Analyst Should Know

KDnuggets

Interested in data analytics? Here's a list of Python libraries you cannot do without.

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Build Your Own YT and Web Summarizer with LangChain

Analytics Vidhya

In the age of information overload, it’s easy to get lost in the large amount of content available online. YouTube offers billions of videos, and the internet is filled with articles, blogs, and academic papers. With such a large volume of data, it’s often difficult to extract useful insights without spending hours reading and watching. […] The post Build Your Own YT and Web Summarizer with LangChain appeared first on Analytics Vidhya.

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Enrich your AWS Glue Data Catalog with generative AI metadata using Amazon Bedrock

AWS Big Data

Metadata can play a very important role in using data assets to make data driven decisions. Generating metadata for your data assets is often a time-consuming and manual task. By harnessing the capabilities of generative AI, you can automate the generation of comprehensive metadata descriptions for your data assets based on their documentation, enhancing discoverability, understanding, and the overall data governance within your AWS Cloud environment.

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Enable Image Analysis with Cloudera’s New Accelerator for Machine Learning Projects Based on Anthropic Claude

Cloudera

Enterprise organizations collect massive volumes of unstructured data, such as images, handwritten text, documents, and more. They also still capture much of this data through manual processes. The way to leverage this for business insight is to digitize that data. One of the biggest challenges with digitizing the output of these manual processes is transforming this unstructured data into something that can actually deliver actionable insights.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Siete formas de implementar su propio LLM

CIO Business Intelligence

La i nteligencia artificial (IA) generativa es la nueva tecnología que más rápido se está desarrollando en la historia. Está transformando el mundo y, según la Encuesta de población en tiempo real a más de 3.000 adultos que trabajan en EE.UU, una cuarta parte utilizó IA generativa para trabajar al menos una vez la semana anterior, y casi el 11% la usaba todos los días.

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5 Cheat Sheets for Getting Started in Data Science

KDnuggets

Check out these 5 KDnuggets cheat sheets designed for the data science beginner, covering from introductory coding through to data cleaning, exploration, manipulation, and modeling.

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What are Agentic Flows in CrewAI?

Analytics Vidhya

Want to simplify the creation and management of AI workflows? CrewAI flows offer structured patterns for orchestrating AI agent interactions. They enable developers to effectively combine coding tasks and Crews, offering a powerful framework for developing AI automation. With Agentic Flows in CrewAI, you can design structured, event-driven workflows that streamline task coordination, manage state, […] The post What are Agentic Flows in CrewAI?

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How FINRA established real-time operational observability for Amazon EMR big data workloads on Amazon EC2 with Prometheus and Grafana

AWS Big Data

This is a guest post by FINRA (Financial Industry Regulatory Authority). FINRA is dedicated to protecting investors and safeguarding market integrity in a manner that facilitates vibrant capital markets. FINRA performs big data processing with large volumes of data and workloads with varying instance sizes and types on Amazon EMR. Amazon EMR is a cloud-based big data environment designed to process large amounts of data using open source tools such as Hadoop, Spark, HBase, Flink, Hudi, and Prest

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Using AI to Prevent Unauthorized Access in Complex IT Ecosystems

Smart Data Collective

AI is invaluable for cybersecurity professionals trying to help stop unauthorized access to their complex IT ecosystems.

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CIO100 2024: The top transformational tech leaders and teams in Southeast Asia and Hong Kong

CIO Business Intelligence

CIO ASEAN is proud to announce the winners of the 2024 CIO100 Awards – recognising the top technology leaders and teams across Southeast Asia and Hong Kong who are driving innovation and influencing rapid change. Winners were unveiled during an in-person awards ceremony at Marina Bay Sands in Singapore, with more than 300 executives from across Southeast Asia and Hong Kong.

Insurance 101
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A New Python Package Manager

KDnuggets

Manage Python projects, run scripts and tools, handle dependencies, and install packages—all with the uv tool.

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8 Generative AI Trends that will Define Businesses in 2025

Analytics Vidhya

The world today is powered by state-of-the-art generative AI models that offer new features and applications every day. In 2024, with AI Agents, AI adoption hit a new high, sparking a revolution in almost every industry. Owing to the ongoing developments in the field of generative AI, 65% of firms polled by McKinsey are already […] The post 8 Generative AI Trends that will Define Businesses in 2025 appeared first on Analytics Vidhya.

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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.