Sat.Jun 08, 2024 - Fri.Jun 14, 2024

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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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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 136
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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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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.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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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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Integrated Tally Analytics = Small Business Results

Smarten

Business Benefits for Small Businesses Integrating Analytics with Tally Solutions! Some small business owners believe they do not need, or cannot afford, business analytics. Nothing could be further from the truth! If your business is currently using Tally Prime or Tally ERP, you can leverage your existing accounting and financial modules to create an augmented analytical environment that is suitable for every team member.

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5 SLA metrics you should be monitoring

IBM Big Data Hub

In business and beyond, communication is king. Successful service level agreements (SLAs) operate on this principle, laying the foundation for successful provider-customer relationships. A service level agreement (SLA) is a key component of technology vendor contracts that describes the terms of service between a service provider and a customer. SLAs describe the level of performance to be expected, how performance will be measured and repercussions if levels are not met.

Metrics 58
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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 261
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Startup data health starts with healthy event tracking

Data Science and Beyond

Expanding on the startup health check question of tracking Kukuyeva’s five business aspects as wide events.

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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

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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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Gen AI can be the answer to your data problems — but not all of them

CIO Business Intelligence

There are currently 143 million people waiting for surgeries in lower income countries. And there are organizations ready to bring in doctors and resources — but there’s an information gap between the two, says Joan LaRovere, associate chief medical officer at Boston Children’s Hospital, a professor at Harvard medical School, and co-founder of the Virtue Foundation, an NGO dedicated to solving this information problem.

Modeling 140
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A Comprehensive Guide on Langchain

Analytics Vidhya

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

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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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How Cloudinary transformed their petabyte scale streaming data lake with Apache Iceberg and AWS Analytics

AWS Big Data

This post is co-written with Amit Gilad, Alex Dickman and Itay Takersman from Cloudinary. Enterprises and organizations across the globe want to harness the power of data to make better decisions by putting data at the center of every decision-making process. Data-driven decisions lead to more effective responses to unexpected events, increase innovation and allow organizations to create better experiences for their customers.

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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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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 141
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PyTorch vs TensorFlow: Which is Better for Deep Learning?

Analytics Vidhya

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?

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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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Ingest and analyze your data using Amazon OpenSearch Service with Amazon OpenSearch Ingestion

AWS Big Data

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.

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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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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.

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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 286
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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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Addressing the Elephant in the Room – Welcome to Today’s Cloudera

Cloudera

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 101
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Rebranding IT for the modernized IT mission

CIO Business Intelligence

A 1958 Harvard Business Review article coined the term information technology, focusing their definition on rapidly processing large amounts of information, using statistical and mathematical methods in decision-making, and simulating higher order thinking through applications. That definition was well ahead of its time and forecasted the current era’s machine learning and generative AI capabilities.

IT 136
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The Data-Information-Knowledge-Wisdom Pyramid

Analytics Vidhya

Introduction In today’s information age, data is king. But simply having data is not enough. To truly excel in this data-driven world, we need to be able to transform that data into actionable insights. This is where the DIKW, or Data-Information Knowledge Wisdom Pyramid, comes in. The DIKW Pyramid is a robust framework that helps […] The post The Data-Information-Knowledge-Wisdom Pyramid appeared first on Analytics Vidhya.

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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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How Swisscom automated Amazon Redshift as part of their One Data Platform solution using AWS CDK – Part 1

AWS Big Data

Swisscom is a leading telecommunications provider in Switzerland. Swisscom’s Data, Analytics, and AI division is building a One Data Platform (ODP) solution that will enable every Swisscom employee, process, and product to benefit from the massive value of Swisscom’s data. In a two-part series, we talk about Swisscom’s journey of automating Amazon Redshift provisioning as part of the Swisscom ODP solution using the AWS Cloud Development Kit (AWS CDK), and we provide code snippets and the other u

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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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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.

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Optimizing LLMs with Mistral AI’s New Fine-Tuning APIs

Analytics Vidhya

Introduction Fine-tuning enables large language models to better align with specific tasks, teach new facts, and incorporate new information. Fine-tuning significantly improves performance compared to prompting, typically surpassing larger models due to its speed and cost-effectiveness. It offers superior task alignment because it undergoes specific training for these tasks.

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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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How Swisscom automated Amazon Redshift as part of their One Data Platform solution using AWS CDK – Part 2

AWS Big Data

In this series, we talk about Swisscom’s journey of automating Amazon Redshift provisioning as part of the Swisscom One Data Platform (ODP) solution using the AWS Cloud Development Kit (AWS CDK), and we provide code snippets and the other useful references. In Part 1 , we did a deep dive on provisioning a secure and compliant Redshift cluster using the AWS CDK and the best practices of secret rotation.

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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.