Trending Articles

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Top 25 Docker Use Cases

Analytics Vidhya

Introduction Docker is a platform that enables developers to package applications and their dependencies into lightweight, portable containers. They have revolutionized the way software is developed, tested, and deployed across various industries. In this article, we will explore 25 different use cases of Docker across various industries, highlighting some real-world examples.

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The New O’Reilly Answers: The R in “RAG” Stands for “Royalties”

O'Reilly on Data

The latest release of O’Reilly Answers is the first example of generative royalties in the AI era, created in partnership with Miso. This new service is a trustworthy source of answers for the O’Reilly learning community and a new step forward in the company’s commitment to the experts and authors who drive knowledge across its learning platform. Generative AI may be a groundbreaking new technology, but it’s also unleashed a torrent of complications that undermine its trustworthiness, many of wh

Metadata 202
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How to Delete a File in Python?

Analytics Vidhya

Introduction This article offers a thorough tutorial on how to delete files in Python using a variety of modules and approaches. It goes over simple techniques like using os.remove() and os.unlink(), more complex techniques like pathlib.Path.unlink() and shutil.rmtree() for directories, and safer options like send2trash for putting files in the recycling bin.

Analytics 289
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Deepfakes: Coming soon to a company near you

CIO Business Intelligence

AI-powered deepfake technology is rapidly advancing, and it’s only a matter of time before cybercriminals find a business model they can use, some security experts say.

Modeling 128
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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

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10 GitHub Repositories to Master SQL

KDnuggets

Learn SQL and databases through free courses, tutorials, tools, guides, books, practice exercises, projects, awesome lists, and other resources.

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Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation

AWS Big Data

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. One of the key challenges in modern big data management is facilitating efficient data sharing and access control across multiple EMR clusters. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated.

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Answers: Generative AI as Learning Tool

O'Reilly on Data

At O’Reilly, we’re not just building training materials about AI. We’re also using it to build new kinds of learning experiences. One of the ways we are putting AI to work is our update to Answers. Answers is a generative AI-powered feature that aims to answer questions in the flow of learning. It’s in every book, on-demand course, and video, and will eventually be available across our entire learning platform.

Modeling 198
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IT leaders rethink talent strategies to cope with AI skills crunch

CIO Business Intelligence

As head of transformation, artificial intelligence, and delivery at Guardian Life, John Napoli is ramping up his company’s AI initiatives. And a big part of that is scaling up AI talent. But Napoli, like many CIOs, is facing a tough labor landscape for highly sought skills. By most accounts, enterprise CIOs are rushing to hire for AI-related roles, putting them into fierce competition with one another — and with big tech companies and CTOs everywhere.

Strategy 129
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Step-by-Step Tutorial to Building Your First Machine Learning Model

KDnuggets

Machine Learning model is an exciting project. Learn how to develop your first model that the company would want to use.

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Where Does Data Governance Fit Into Hybrid Cloud?

Cloudera

At a time when artificial intelligence (AI) and tools like generative AI (GenAI) and large language models (LLMs) have exploded in popularity, getting the most out of organizational data is critical to driving business value and carving out a competitive market advantage. To reach that goal, more businesses are turning toward hybrid cloud infrastructure – with data on-premises, in the cloud, or both – as a means to tap into valuable data.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Debugging And Testing LLMs in LangSmith

Analytics Vidhya

Introduction With the advancements in Artificial Intelligence, developing and deploying large language model (LLM) applications has become increasingly complex and demanding. To address these challenges, let’s explore LangSmith. LangSmith is a new cutting-edge DevOps platform designed to develop, collaborate, test, deploy, and monitor LLM applications.

Testing 272
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Harnessing the Power of Data in Healthcare, Retail, and Energy Industries

Smart Data Collective

Data mining offers a number of important benefits for companies in the healthcare, energy and retail sectors.

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Kyndryl reportedly in talks to buy DXC Technology

CIO Business Intelligence

Managed infrastructure services provider Kyndryl is considering a bid for competitor DXC Technology, Reuters reported Monday, citing people familiar with the matter. It said that Kyndryl is discussing the bid with private equity fund Apollo Global, and that they could offer between $22 and $25 per share to buy DXC, prompting the DXC share price to rise from around $16 when the markets opened Monday morning to nearer $19 at close on Wednesday.

Reporting 121
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Using SQL with Python: SQLAlchemy and Pandas

KDnuggets

A simple tutorial on how to connect to databases, execute SQL queries, and analyze and visualize data.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Making an AI Investment: How Finance Institutions are Harnessing the Power of AI and Generative AI

Cloudera

Of all of the emerging tech of the last two decades, artificial intelligence (AI) is tipping the hype scale, causing organizations from all industries to rethink their digital transformation initiatives asking where it fits in. In Financial Services, the projected numbers are staggering. According to a recent McKinsey & Co. article , “The McKinsey Global Institute (MGI) estimates that across the global banking sector, [Generative AI] could add between $200 billion and $340 billion in value a

Finance 70
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Understanding DENSE_RANK in SQL

Analytics Vidhya

Introduction When working with databases and analyzing data, ranking records is very important for organizing information based on certain conditions. One ranking function called `DENSE_RANK()` is useful because it assigns ranks to rows without leaving any empty spaces or gaps. This guide explains what `DENSE_RANK()` is, how it operates, and when to use it effectively […] The post Understanding DENSE_RANK in SQL appeared first on Analytics Vidhya.

Analytics 272
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Riding the AI Wave: OpenAI’s GPT-4o and Beyond

Dataiku

A few weeks ago, OpenAI unveiled GPT-4o, its latest and most advanced transformer-based foundational model. The “o” in GPT-4o stands for "omni" (Latin for “every”), reflecting its ability to handle prompts that mix text, audio, images, and video. This powerful multimodal capability has captivated the AI community and set a new standard for generative and conversational AI experiences.

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IT leaders go small for purpose-built AI

CIO Business Intelligence

When adopting AI, sometimes the best direction is to go small. That’s what a number of IT leaders are learning of late, as the AI market and enterprise AI strategies continue to evolve. During the new AI revolution of the past year and a half, many companies have experimented with and developed solutions with large language models (LLMs) such as GPT-4 via Azure OpenAI, while weighing the merits of digital assistants like Microsoft Copilot.

IT 116
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Understanding Data Privacy in the Age of AI

KDnuggets

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.

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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context. By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and ob

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How to Build NLP Applications with Hugging Face?

Analytics Vidhya

Introduction Hugging Face (HF) is a pioneering AI platform enabling ML community collaboration on models, datasets, and applications. This article will delve into Hugging Face’s capabilities for building NLP applications, covering key services such as models, datasets, and open-source libraries. Whether you are a beginner or an experienced developer, Hugging Face offers versatile tools to […] The post How to Build NLP Applications with Hugging Face?

Modeling 279
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Build a Generative AI Chatbot With Snowflake and Dataiku

Dataiku

Leveraging AI (including Generative AI) to enhance user interactions across various sectors has become essential. Now, imagine a chatbot that not only comprehends user queries but also delivers precise, contextually accurate responses and has the capability to continuously learn and improve. Achieving this level of sophistication in chatbot technology is now possible through the integration of Snowflake and Dataiku tools and innovative capabilities.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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How can CIOs safely unleash generative AI on their company’s data?

CIO Business Intelligence

Generative artificial intelligence, or GenAI, has been a transformative force in many different business fields since it appeared on the scene in 2022. According to McKinsey, GenAI could bring savings opportunities of up to $2.6 trillion across various operational functions. However, many business leaders hesitate to adopt it due to security fears. IBM reports that 96% of executives see adopting generative AI as increasing their organisation’s chances of experiencing a security breach within the

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5 Free University Courses to Learn Coding for Data Science

KDnuggets

Learn programming for free from top-tier universities like Harvard and MIT.

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T-Mobile unlocks marketing efficiency with Adobe Workfront

IBM Big Data Hub

With 109 million customers and counting, “uncarrier” T-Mobile is one of the top mobile communications providers in the U.S. The company always puts the customer first, which it achieves by delivering the right experiences and content to the right customers at the right time. But with different sub-brands and business units, T-Mobile’s marketing and content workflows were complex—and often inefficient and disconnected.

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25 Ways AI Can Make Your Daily Life Easy

Analytics Vidhya

Introduction Imagine a world where your morning alarm adjusts to traffic conditions, your coffee brews to your exact preference before you even get out of bed, and your commute is planned with the perfect balance of speed and scenic detours. This sci-fi dream is becoming a reality thanks to Artificial Intelligence. AI is here to […] The post 25 Ways AI Can Make Your Daily Life Easy appeared first on Analytics Vidhya.

Analytics 266
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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene

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Beyond Text: Taking Advantage of Rich Information Sources With Multimodal RAG

Dataiku

Retrieval augmented generation (RAG) has become a very popular approach for creating question-answering systems based on specific document collections. RAG consists of including relevant pieces of information in the prompt of large language models (LLMs) to compensate for their knowledge gaps.

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Ethics of generative AI: To be innovative, you must first be trustworthy

CIO Business Intelligence

Over the past year, generative AI – artificial intelligence that creates text, audio, and images – has moved from the “interesting concept” stage to the deployment stage for retail, healthcare, finance, and other industries. By generating new content in seconds, identifying patterns in large datasets, automating repetitive tasks, improving customer interactions, and reducing costs, GenAI can improve any company’s bottom line.

Risk 104
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FastAPI Tutorial: Build APIs with Python in Minutes

KDnuggets

Want to build APIs with Python? Learn how to do so using FastAPI with this step-by-step tutorial.

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AI Can Do Wonders to Improve Internal Communication

Smart Data Collective

AI has helped companies improve their internal communications significantly, which is encouraging for many businesses in 2024.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.