O'Reilly on Data

JUNE 18, 2024

Last month, TheNew York Times claimed that tech giants OpenAI and Google have waded into a copyright gray area by transcribing the vast volume of YouTube videos and using that text as additional training data for their AI models despite terms of service that prohibit such efforts and copyright law that the Times argues places them in dispute. The Times also quoted Meta officials as saying that their models will not be able to keep up unless they follow OpenAI and Google’s lead.

Advertising 354

Advertising Modeling Publishing Data Processing 354

Analytics Vidhya

JUNE 30, 2024

Introduction This article covers the creation of a multilingual chatbot for multilingual areas like India, utilizing large language models. The system improves consumer reach and personalization by using LLMs to translate questions between local languages and English. We go over the architecture, implementation specifics, advantages, and required actions.

Modeling 345

Modeling Analytics Deep Learning 345

KDnuggets

JUNE 20, 2024

Image by author Model deployment is the process of trained models being integrated into practical applications. This includes defining the necessary environment, specifying how input data is introduced into the model and the output produced, and the capacity to analyze new data and provide relevant predictions or categorizations.

Machine Learning 152

Machine Learning Modeling 152

CIO Business Intelligence

JUNE 24, 2024

In the age of artificial intelligence (AI), how can enterprises evaluate whether their existing data center design can fully employ the modern requirements needed to run AI? There are major considerations as IT leaders develop their AI strategies and evaluate the landscape of their infrastructure. This blog examines: What is considered legacy IT infrastructure?

Strategy 143

Strategy Testing Enterprise Optimization 143

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.

Sales

Cloudera

JUNE 7, 2024

A constant flow of breaking news from the data lakehouse space is making notable tech headlines this week. On Tuesday, Databricks announced that it will acquire Tabular, a data management company founded by the creators of Apache Iceberg, Ryan Blue, Daniel Weeks, and Jason Reidfor. The deal was for an unconfirmed sum, but some reports suggest that amount to be between $1B and $2B (and allegedly outbidding Snowflake).

Management 111

Management Reporting Marketing Data Analytics 111

AWS Big Data

JUNE 18, 2024

AWS Glue is a serverless data integration service that enables you to run extract, transform, and load (ETL) workloads on your data in a scalable and serverless manner. One of the main advantages of using a cloud platform is its flexibility; you can provision compute resources when you actually need them. However, with this ease of creating resources comes a risk of spiraling cloud costs when those resources are left unmanaged or without guardrails.

Big Data 105

Big Data Interactive Management Data Integration 105

Analytics Vidhya

JUNE 13, 2024

Introduction Large language models (LLMs) have revolutionized natural language processing (NLP), enabling various applications, from conversational assistants to content generation and analysis. However, working with LLMs can be challenging, requiring developers to navigate complex prompting, data integration, and memory management tasks. This is where Langchain comes into play, a powerful open-source Python framework designed to […] The post A Comprehensive Guide on Langchain appeared fir

Data Integration 345

Data Integration Modeling Management Analytics 345

KDnuggets

JUNE 20, 2024

Understanding LLMs is pivotal in unlocking the full potential of AI-driven solutions across various domains. As we navigate the process of building AI-driven solutions, it is essential to approach the development and deployment of LLMs with a focus on responsible AI practices.

Modeling 147

Modeling IT 147

CIO Business Intelligence

JUNE 19, 2024

Artificial intelligence, it is widely assumed, will soon unleash the biggest transformation in health care provision since the medical sector started its journey to professionalization after the flu pandemic of 1918. The catch is that bringing this about will require new institutional channels for knowledge, engineering, and ethical collaboration that don’t yet exist.

Uncertainty 142

Uncertainty Insurance Cost-Benefit Data-driven 142

Cloudera

JUNE 17, 2024

Pride Month is underway and we at Cloudera are looking forward to joining the global celebration of diversity, equity and the ongoing effort for LGBTQ+ ( L esbian, G ay, B isexual, T ransgender, Q ueer/ Q uestioning) rights and recognition. Pride Month serves as a reminder that the fight for equality and equity for members of the LGBTQ+ community is not over.

Data Processing 109

Data Processing IT 109

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.

Modeling

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights. This data is primarily used for analytical and machine learning purposes, but not easily accessible by the business users across Sales , Service , and Marketing teams to make data driven decisions.

Data Lake 101

Data Lake Cost-Benefit Data-driven Data Warehouse 101

Dataiku

JUNE 26, 2024

Discover real-world use cases where a multimodal machine learning approach is valuable (and how Dataiku's framework can help your team use this technique).

Machine Learning 105

Machine Learning 105

Analytics Vidhya

JUNE 23, 2024

Introduction Data Science deals with finding patterns in a large collection of data. For that, we need to compare, sort, and cluster various data points within the unstructured data. Similarity and dissimilarity measures are crucial in data science, to compare and quantify how similar the data points are. In this article, we will explore the […] The post Similarity and Dissimilarity Measures in Data Science appeared first on Analytics Vidhya.

Measurement 320

Measurement Data Science Unstructured Data Analytics 320

KDnuggets

JUNE 13, 2024

Data privacy has been a long-standing issue that continues to challenge the data industry. Let’s understand how rapid developments in the world of AI have elevated data privacy concerns.

145

145

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.

Management

CIO Business Intelligence

JUNE 6, 2024

Legal documents, HR data, source code, and other sensitive corporate information is being fed into unlicensed, publicly available AIs at a swift rate, leaving IT leaders with a mounting shadow AI mess.

IT 143

IT Data Governance Management 143

TDAN

JUNE 19, 2024

AI governance has become a critical topic in today’s technological landscape, especially with the rise of AI and GenAI. As CEOs express concerns regarding the potential risks with these technologies, it is important to identify and address the biggest risks.

Risk 98

Risk Technology IT Data Governance 98

Smart Data Collective

JUNE 20, 2024

There are a lot of great things that you can do to become a more successful data scientist, which includes engaging in certain hobbies.

Big Data 101

Big Data 101

AWS Big Data

JUNE 12, 2024

In today’s data-driven world, organizations are continually confronted with the task of managing extensive volumes of data securely and efficiently. Whether it’s customer information, sales records, or sensor data from Internet of Things (IoT) devices, the importance of handling and storing data at scale with ease of use is paramount. A common use case that we see amongst customers is to search and visualize data.

Dashboards 99

Dashboards Visualization Sales IoT 99

Advertisement

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.

Analytics

Analytics Vidhya

JUNE 14, 2024

Introduction Efficient ML models and frameworks for building or even deploying are the need of the hour after the advent of Machine Learning (ML) and Artificial Intelligence (AI) in various sectors. Although there are several frameworks, PyTorch and TensorFlow emerge as the most famous and commonly used ones. PyTorch and Tensorflow have similar features, integrations, […] The post PyTorch vs TensorFlow: Which is Better for Deep Learning?

Deep Learning 322

Deep Learning Machine Learning Modeling Analytics 322

KDnuggets

JUNE 25, 2024

This article intends to provide practical advice for becoming a better data scientist by focusing on five different areas of proficiency. Whether you are starting out, or looking to get grounded after years as a practitioner, jump in and elevate your game.

Data Science 132

Data Science 132

CIO Business Intelligence

JUNE 3, 2024

Facts, it has been said, are stubborn things. For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. As CIOs respond to corporate mandates to “just do something” with genAI, many are launching cloud-based or on-premises initiatives. But while the payback promised by many genAI projects is nebulous, the costs of the infrastructure to run them is finite, and too often, unacceptably hi

Data Processing 139

Data Processing Data-driven Modeling Strategy 139

Cloudera

JUNE 13, 2024

Hadoop. The first time that I really became familiar with this term was at Hadoop World in New York City some ten or so years ago. There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data.

Big Data 104

Big Data Machine Learning Contextual Data Data Lake 104

Advertisement

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.

IT

Analytics Vidhya

JUNE 19, 2024

Introduction “AI Agentic workflow will drive massive progress this year,” commented Andrew Ng, highlighting the significant advancements anticipated in AI. With the growing popularity of large language models, Autonomous Agents are becoming a topic of discussion. In this article, we will explore Autonomous Agents, cover the components of building an Agentic workflow, and discuss the […] The post Building an Agentic Workflow with CrewAI and Groq appeared first on Analytics Vidhy

Modeling 319

Modeling Analytics 319

Analytics Vidhya

JUNE 21, 2024

Introduction If you have been working with data, I’m sure you use Microsoft Excel or Google Sheets on a daily basis. These tools make data storage and organization so easy, that they’ve become indispensable for data analysts, finance professionals, and even students. The best part of using these programs is the built-in functions they have, […] The post Standard Deviation in Excel and Sheets appeared first on Analytics Vidhya.

Finance 315

Finance Analytics Statistics 315

Analytics Vidhya

JUNE 19, 2024

Introduction The advent of huge language models in the likes of ChatGPT ushered in a new epoch concerning conversational AI in the rapidly changing world of artificial intelligence. Anthropic’s ChatGPT model, which can engage in human-like dialogues, solve difficult tasks, and provide well thought-out answers that are contextually relevant, has fascinated people all over the […] The post Why Does ChatGPT Use Only Decoder Architecture?

Modeling 311

Modeling Analytics 311

Analytics Vidhya

JUNE 19, 2024

Introduction In the fast-evolving world of AI, it’s crucial to keep track of your API costs, especially when building LLM-based applications such as Retrieval-Augmented Generation (RAG) pipelines in production. Experimenting with different LLMs to get the best results often involves making numerous API requests to the server, each request incurring a cost.

Analytics 306

Analytics IT Modeling 306

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Analytics Vidhya

JUNE 2, 2024

Introduction In the previous article, we experimented with Cohere’s Command-R model and Rerank model to generate responses and rerank doc sources. We have implemented a simple RAG pipeline using them to generate responses to user’s questions on ingested documents. However, what we have implemented is very simple and unsuitable for the general user, as it […] The post Building RAG Application using Cohere Command-R and Rerank – Part 2 appeared first on Analytics Vidhya.

Modeling 310

Modeling Analytics IT 310

Analytics Vidhya

JUNE 27, 2024

Introduction Radar charts, also referred to as spider plots or star plots, offer a distinctive method for visualizing multivariate data. Unlike traditional cartesian charts, which arrange axes linearly, radar charts position axes radially around a central point. This circular arrangement facilitates the comparison of multiple quantitative variables simultaneously across different categories or dimensions, making radar […] The post How to Make Stunning Radar Charts in plotly?

Visualization 292

Visualization Analytics 292

Analytics Vidhya

JUNE 29, 2024

Introduction Git is a powerful distributed version control system used by developers to manage source code changes. Branching, which enables the simultaneous development of different versions of a project, is one of its fundamental characteristics. This article will cover the definition of branches, the value of branching, the function of an upstream branch in Git, […] The post How to Set Upstream Branch in Git?

Management 291

Management Analytics IT 291

Analytics Vidhya

JUNE 3, 2024

Introduction In SQL and database management, efficiently querying and retrieving data is paramount. Among the various tools and functions available, the CONTAINS function stands out for its capability to perform full-text searches within text columns. Unlike basic string functions, CONTAINS enables complex queries and patterns, making it a powerful asset for developers and database administrators. […] The post What is CONTAINS in SQL?

Management 299

Management Analytics IT 299

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

Data Collection