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12 Free And Paid LLMs for Your Daily Tasks

Analytics Vidhya

Introduction In today’s digital world, Large Language Models (LLMs) are revolutionizing how we interact with information and services. LLMs are advanced AI systems designed to understand and generate human-like text based on vast amounts of data. They use deep learning techniques, particularly transformers, to perform various language tasks such as translation, text generation, and summarization. […] The post 12 Free And Paid LLMs for Your Daily Tasks appeared first on Analytics Vidh

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Aquona digitaliza sus operaciones en Castilla y León mediante la herramienta DROP

CIO Business Intelligence

En el marco del proceso de transformación digital que está ejecutando Aquona, empresa responsable de la gestión del agua en más de 60 municipios de Castilla y León, se ha procedido a digitalizar la totalidad de sus operaciones dando un paso adelante en la mejora de la planificación de los trabajos y la productividad de los equipos. Lo ha hecho a través de la herramienta DROP (Dinapsis Resource Optimizer and Planner), con la que la compañía impulsa la digitalización y la innovación, que se han co

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5 Types of AI Agents that you Must Know About

Analytics Vidhya

Introduction What if machines could make their own decisions, solve problems, and adapt to new situations just like we do? This would potentially lead to a world where artificial intelligence becomes not just a tool but a collaborator. That’s exactly what AI agents aim to achieve! These smart systems are designed to understand their surroundings, […] The post 5 Types of AI Agents that you Must Know About appeared first on Analytics Vidhya.

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Detecting and Preventing Bias: A Crucial Element of AI Governance

David Menninger's Analyst Perspectives

In today's rapidly evolving technological landscape, artificial intelligence (AI) governance has emerged as a critical ingredient for successful AI deployments. It helps build trust in the results of AI models, it helps ensure compliance with regulations and it is necessary to meet internal governance requirements. Effective AI governance must encompass various dimensions, including data privacy, model drift, hallucinations, toxicity and perhaps most importantly, bias.

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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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Read White Paper: Data Quality The DataOps Way

DataKitchen

Read Our New White Paper: Data Quality The DataOps Way Data quality isn’t just a technical hurdle—it’s a strategic necessity in the data-driven world. Traditional methods fall short, but the DataOps approach to data quality offers a transformative path forward. It empowers individuals to act swiftly, enables continuous improvement, and fosters collaboration across organizational silos.

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Many C-suite execs have lost confidence in IT, including CIOs

CIO Business Intelligence

Some bad news for CIOs: Many C-suite leaders, including IT leaders themselves, have less confidence in your department’s ability to get the job done than they did a decade ago. Less than half of C-level executives believe their IT organizations are effectively delivering basic services, compared to about two-thirds with confidence in 2013, according to a survey recently released by the IBM Institute for Business Value.

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Top 4 Agentic AI Design Patterns for Architecting AI Systems

Analytics Vidhya

Introduction Learning is a continuous journey, whether you’re human or an AI model. However, one question that often comes up is, can these AI models learn themselves just like humans do? As per the recent developments – They can. To understand this in a better way, let’s go back to our college days when C++, […] The post Top 4 Agentic AI Design Patterns for Architecting AI Systems appeared first on Analytics Vidhya.

Modeling 231
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How to Create YouTube Video Study Guides with NotebookLM

KDnuggets

NotebookLM makes it easy to create study guides from YouTube videos by using AI to summarize and organize key points. Just upload the video link, and the tool helps you turn the content into a structured guide.

IT 120
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Podcast: The Data Strategy Show

DataKitchen

Christopher Bergh is the CEO and Head Chef at DataKitchen. Chris has more than 30 years of research, software engineering, data analytics, and executive management experience. At various points in his career, he has been a COO, CTO, VP, and Director of engineering. Enjoy the chat.

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When is the right time to dump an AI project?

CIO Business Intelligence

Many organizations running AI pilots will inevitably encounter a key IT dilemma: when to pull the plug and move on. If they dump a pilot that’s not meeting expectations too soon, they may miss out on huge benefits down the line, but if they hang on too long, they can waste huge amounts of time, money, and resources. On the one side, Forrester recently warned organizations not to look for AI ROI too soon, because they could miss out on AI’s benefits.

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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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Amazon EMR on EC2 cost optimization: How a global financial services provider reduced costs by 30%

AWS Big Data

In this post, we highlight key lessons learned while helping a global financial services provider migrate their Apache Hadoop clusters to AWS and best practices that helped reduce their Amazon EMR , Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Simple Storage Service (Amazon S3) costs by over 30% per month. We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams.

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Claude AI: Unboxing Anthropic’s LLM-based AI Assistant, Artifacts & Use Cases

KDnuggets

Dive into this emerging and powerful LLM-based AI tool for enhancing your business, creative, or daily processes through well-managed conversations.

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10 Key Insights Every Executive Should Know About GenAI

Dataiku

This article was written by our friends at Databricks. Databricks is the data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI.

IT 78
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Take manual snapshots and restore in a different domain spanning across various Regions and accounts in Amazon OpenSearch Service

AWS Big Data

Snapshots are crucial for data backup and disaster recovery in Amazon OpenSearch Service. These snapshots allow you to generate backups of your domain indexes and cluster state at specific moments and save them in a reliable storage location such as Amazon Simple Storage Service (Amazon S3). Snapshots play a critical role in providing the availability, integrity and ability to recover data in OpenSearch Service domains.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

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Understanding Python pop() Method

Analytics Vidhya

Introduction Ever wanted to remove an item from a list but not just any item, specifically the one at a certain index? Enter Python pop() method. This built-in function helps you achieve exactly that. It removes an element from a list based on its index and, most importantly, returns the removed element, giving you control […] The post Understanding Python pop() Method appeared first on Analytics Vidhya.

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Using Hugging Face Transformers with PyTorch and TensorFlow

KDnuggets

With Hugging Face become prominent than ever, learning how to use the Transformers library with popular deep-learning frameworks would improve your career.

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Ada Lovelace Day: Celebrating the Visionary Who Saw Beyond Numbers

Dataiku

October 8, known as Ada Lovelace Day , celebrates the woman widely regarded as one of the first computer programmers and a visionary in computing. At just eighteen, in the mid-1800s, Ada wrote what many consider the world’s first computer algorithm, and she was the first to recognize that computers had applications beyond mere calculation. Today, we use this day not only to honor Lovelace's groundbreaking contributions but also to celebrate the achievements of women in STEM throughout history an

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BMC to split into two independent organizations

CIO Business Intelligence

A decision by BMC to split into two independent companies was surprising from a timing perspective, but may have taken place so one unit, or potentially both, could be eventually sold off, Gartner VP Analyst Gregg Siegfried said on Wednesday. Siegfried was responding to an announcement from the company that it will become two, with BMC remaining the name of one operating unit, while BMC Helix will be the other.

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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Perform data parity at scale for data modernization programs using AWS Glue Data Quality

AWS Big Data

Today, customers are embarking on data modernization programs by migrating on-premises data warehouses and data lakes to the AWS Cloud to take advantage of the scale and advanced analytical capabilities of the cloud. Customers are migrating their on-premises data warehouse solutions built on databases like Netezza, PostgreSQL, Greenplum, and Teradata to AWS based modern data platforms using services like Amazon Simple Storage Service (Amazon S3) and Amazon Redshift.

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CV Data Extraction: Essential Tools and Methods for Recruitment

Analytics Vidhya

Introduction When attending a job interview or hiring for a large company, reviewing every CV in detail is often impractical due to the high volume of applicants. Instead, leveraging CV data extraction to focus on how well key job requirements align with a candidate’s CV can lead to a successful match for both the employer […] The post CV Data Extraction: Essential Tools and Methods for Recruitment appeared first on Analytics Vidhya.

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How to Create Custom Educational Podcasts with NotebookLM

KDnuggets

Creating custom educational podcasts with NotebookLM is straightforward. Simply upload your content, customize the audio output to highlight key topics, and export your final podcast for sharing with your audience.

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Cloudera Lakehouse Optimizer Makes it Easier Than Ever to Deliver High-Performance Iceberg Tables

Cloudera

The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse. Open table formats are a key component of this architecture, as they provide many of the capabilities of traditional data warehousing directly on data lake storage, and Apache Iceberg is quickly becoming

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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.

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SAP launches collaborative AI agents, adds Knowledge Graph

CIO Business Intelligence

SAP’s promised collaboration between its AI copilot, Joule, and other agents will become reality in the fourth quarter of 2024, the company announced at its 2024 TechEd conference Tuesday. The company first discussed the new functionality at its Sapphire conference in June, announcing that Joule would offer an integration with Microsoft Copilot enabling users to, for example, query their Outlook calendar from Joule.

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Chart Snapshot: DocuBurst

The Data Visualisation Catalogue

A DocuBurst is a chart that attempts to answer ‘what is this document about?’ through visualising the text-based content. The DocuBurst visualisation provides a summarised view of one or more documents by using a Sunburst Diagram that is generated based on word semantic relationships found in the lexical database WordNet. When visualising multiple documents, a DocuBurst can be used as a comparison tool for textual analysis between documents.

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How to Access OpenAI’s o1 Models Without a Premium Subscription?

Analytics Vidhya

AI is becoming more accessible, and one of the most exciting advancements is the release of OpenAI o1 on ChatLLM Teams. This powerful AI model can significantly boost your productivity by offering a wide range of tools, from generating creative content to solving complex technical problems. Best of all, you don’t need a premium subscription […] The post How to Access OpenAI’s o1 Models Without a Premium Subscription?

Modeling 171
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Step-by-Step Guide to Deploying ML Models with Docker

KDnuggets

Tired of fixing the same deployment issues? Learn how Docker can keep your ML models running smoothly, every time.

Modeling 123
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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.

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Enriching metadata for accurate text-to-SQL generation for Amazon Athena

AWS Big Data

Extracting valuable insights from massive datasets is essential for businesses striving to gain a competitive edge. Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3).

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Amazon is cutting out the middle manager. Here’s why you shouldn’t.

CIO Business Intelligence

Amazon made headlines a few weeks ago with its announced reorganization. According to CEO Andy Jassy, a massive reorganization is what’s needed to remove layers, flatten organizations, increase teammates’ ability to move fast, and create an employee utopia by getting rid of lots and lots of non-value-adding managers. I’m not optimistic. And I don’t think you should be either if you’re thinking of approaching your organizational issues the same way.

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Best Practices for Integrating Data Grids into Data-Intensive Apps

Smart Data Collective

You need to take the right steps to create a data-intensive app that helps clients take advantage of big data.

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Python Square Root

Analytics Vidhya

Introduction Computing square root is a critical concept in mathematics and within this programming language one is able to embark on this basic computation in a very simple and efficient manner. Whether you’re involved in an experiment, simulations, data analysis or using machine learning, calculating square roots in Python is crucial. In this guide, you […] The post Python Square Root appeared first on Analytics Vidhya.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr