Sat.Jul 22, 2023 - Fri.Jul 28, 2023

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Multithreading vs. Multiprocessing: Understanding the Differences

Analytics Vidhya

Multithreading and multiprocessing are fundamental concepts in computer multitasking, enabling concurrent execution of tasks. While both aim to improve system performance, they have distinct characteristics and are suitable for different scenarios. This article will explore multithreading vs. multiprocessing, their advantages, disadvantages, and the factors influencing their use in various programming tasks.

Analytics 267
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Real-Real-World Programming with ChatGPT

O'Reilly on Data

If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. These posts often recount someone trying ChatGPT or Copilot for the first time with a few simple prompts, seeing how it does for some small self-containe

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The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

DataKitchen

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure. Is it overkill? Don’t they all do the same thing?

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5 steps to drive and foster innovation in IT

CIO Business Intelligence

Tight budgets and labor shortages have remained an ongoing challenge for IT leaders in 2023. As a result, CIOs are looking at ways of doing more with less, while continuing to digitally transform their organizations. How can we free up funds in one area to invest or innovate in another area of the business? This is especially critical within physical operations – the industries that drive more than 40% of the global GDP – as organizations like ABF Freight and Liberty Energy look for ways to oper

IT 98
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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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INDIAai and Meta Join Forces: Paves Way for AI Innovation and Collaboration

Analytics Vidhya

In a promising development, INDIAai and Meta have come together to establish a powerful collaboration in the realm of artificial intelligence (AI) and emerging technologies. By signing a memorandum of understanding (MoU), the two organizations are set to pool their expertise and resources to make Meta’s open-source AI models accessible. This partnership marks a significant […] The post INDIAai and Meta Join Forces: Paves Way for AI Innovation and Collaboration appeared first on Analy

Modeling 266
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Large Language Models and Data Management

Ontotext

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. I will start by saying that I believe LLM holds great promise. But there are also a host of other issues (and cautions) to take into consideration. The technology is very new and not well understood. Most applications are still exploratory.

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ServiceNow adds new features to its Now Assist generative AI assistant

CIO Business Intelligence

ServiceNow is adding new features to its Now Assist generative AI assistant that comes bundled with the company’s Now platform, designed to help organizations automate workflows. The new capabilities of Now Assist, which include case summarization and text-to-code, are compatible with all workflows and are designed to drive productivity and efficiency for organizations, the company said.

IT 98
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A Comprehensive Guide on ‘How to Deal with Sparse Datasets?’

Analytics Vidhya

Introduction Have you ever seen a dataset that contains almost all null values? If so, you are not by yourself. One of the most frequent issues in machine learning is sparse datasets. Several factors, like inadequate surveys, sensor data with missing readings, or text with missing words, can lead to their existence. When trained on […] The post A Comprehensive Guide on ‘How to Deal with Sparse Datasets?

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Revolutionizing Procurement: The Power of AI in Vendor Management Systems

Smart Data Collective

Vendor Management Systems (VMS) have become an indispensable tool for streamlining procurement and fostering strong vendor relationships. With the advent of the Fourth Industrial Revolution, where the lines between physical, digital, and biological spheres are increasingly blurred, a new transformational player has emerged on the VMS scene: Artificial Intelligence (AI).

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Textbooks Are All You Need: A Revolutionary Approach to AI Training

KDnuggets

This is an overview of the "Textbooks Are All You Need" paper, highlighting the Phi-1 model's success using high-quality synthetic textbook data for AI training.

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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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From vision to reality: Your guide to using generative AI to improve operational resilience

CIO Business Intelligence

Generative AI (GAI) is at the forefront of nearly everyone’s minds. Consumers want to use it to improve their digital experiences, organizations want to use it to cut costs and be more efficient, and employees are learning how to harness its power to make their jobs easier. As GAI rapidly matures, it’s essential to dream big about its possibilities and be realistic about implementing it strategically and impactfully in ways that can improve your operations.

Sales 98
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Unveiling the Future of Text Analysis: Trendy Topic Modeling with BERT

Analytics Vidhya

Introduction A highly effective method in machine learning and natural language processing is topic modeling. A corpus of text is an example of a collection of documents. This technique involves finding abstract subjects that appear there. This method highlights the underlying structure of a body of text, bringing to light themes and patterns that might […] The post Unveiling the Future of Text Analysis: Trendy Topic Modeling with BERT appeared first on Analytics Vidhya.

Modeling 261
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eCommerce Brands Use Big Data for Logistics and Fulfillment Warehouses Protection

Smart Data Collective

Big data has driven major changes in the e-commerce sector in recent years. E-commerce brands spent over $16 billion on analytics in 2022 and are projected to spend over $38 billion by 2028. One of the biggest benefits of data analytics is that it can help e-commerce brands optimize their logistics and fulfillment processes. Keep reading to learn more.

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Mastering GPUs: A Beginner’s Guide to GPU-Accelerated DataFrames in Python

KDnuggets

RAPIDS cuDF, with its pandas-like API, enables data scientists and engineers to quickly tap into the immense potential of parallel computing on GPUs–with just a few code line changes. Read on for more.

IT 86
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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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Embracing neurodiversity in IT for competitive advantage

CIO Business Intelligence

The term neurodiversity covers a range of conditions, as well as the various spectrums within each. So each neurodiverse professional’s experience is unique, but speaking for myself, being neurodiverse has been a huge competitive advantage in my technology career. The ability to pivot fast and hyperfocus are strengths, not weaknesses, and a leader that can do both effectively is an asset, not a liability.

IT 98
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Comprehensive Guide to Financial Functions in Excel

Analytics Vidhya

Professionals have come to depend on Excel for its versatile capabilities in various industries, and the financial sector is no exception. With many robust features and diverse operations, Excel provides an excellent platform for financial research, modeling, and calculations. This comprehensive guide aims to explore Excel’s powerful financial functions, shedding light on their significance and […] The post Comprehensive Guide to Financial Functions in Excel appeared first on Analyti

Modeling 261
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Volunteer Spotlight: Big Day in the UK!

Cloudera

It was a busy day for Cloudera Cares in the UK on June 21, 2023. Not only did we deliver the EMEA Evolve Flagship event with a first of its kind, volunteer component, we also flew the Cloudera flag at a Cloudera Cares event with Mission Motorsport. Hear from Clouderan, Paul Wooding about his day volunteering at two of Cloudera’s impactful UK-based events.

IT 81
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8 Programming Languages For Data Science to Learn in 2023

KDnuggets

Are you interested in Data Science? This blog will help you kickstart or advance your data science career. You'll learn about the most popular programming languages data scientists use to clean, analyze, visualize, and model data.

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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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Dr. Pankaj Setia on the challenges that will redefine CIOs’ careers

CIO Business Intelligence

Dr Setia, also the chairperson of the centre for digital transformation at the business school, teaches graduate-level courses on the leadership of digital organizations, strategic management of digital innovations, and digital transformation. He has previously taught for many years at Michigan State University and the University of Arkansas in the US.

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Amazon Vs Google Vs Microsoft: The Race to Revolutionize Healthcare with AI

Analytics Vidhya

Integrating artificial intelligence (AI) into the healthcare industry is becoming increasingly prevalent in an era of technological advancements. Tech giants like Amazon, Google, & Microsoft lead the charge, launching innovative AI-powered solutions to transform patient care & optimize healthcare processes. The latest addition to this AI healthcare race is Amazon Web Services’ HealthScribe, a groundbreaking […] The post Amazon Vs Google Vs Microsoft: The Race to Revolutionize

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Near-real-time analytics using Amazon Redshift streaming ingestion with Amazon Kinesis Data Streams and Amazon DynamoDB

AWS Big Data

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse. You can run and scale analytics in seconds on all your data without having to manage your data warehouse infrastructure.

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Analytics Technology Redefines Social Media Marketing in Sports

Smart Data Collective

Analytics technology has been a huge gamechanger for the sports industry. Fortune Business Insights reports that the sports industry spent $2.98 billion on analytics last year. That figure is projected to keep growing at a rate of 28.7% a year until 2030. Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA.

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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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Huawei Unleashes the Power of Technology for a Sustainable, Digital Europe

CIO Business Intelligence

Digital transformation is key in building Europe’s resilience and sustainability Huawei As a committed partner of digital Europe, Huawei builds innovative ICT infrastructure and works with customers and partners to accelerate the digital transformation of enterprises, aiming to drive economic prosperity and build a sustainable, digital Europe. — Ernest Zhang, President, Huawei Enterprise Business Group in Europe In Europe, Huawei dives deep into scenarios and works with partners to support the r

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OpenAI’s AI Detection Tool Fails to Detect 74% of AI-Generated Content

Analytics Vidhya

OpenAI, the maker of the revolutionary generative AI chatbot ChatGPT, recently made headlines by discontinuing its AI classifier tool. Designed to differentiate between human and AI-generated writing, the tool’s low accuracy rate prompted the decision. In this article, we delve into the implications of this development, exploring its impact on misinformation, education, and OpenAI’s ongoing […] The post OpenAI’s AI Detection Tool Fails to Detect 74% of AI-Generated Conten

Analytics 260
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Five actionable steps to GDPR compliance (Right to be forgotten) with Amazon Redshift

AWS Big Data

The GDPR (General Data Protection Regulation) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. This means that individuals can ask companies to erase their personal data from their systems and any third parties with whom the data was shared.

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For a short time only: Time-based restrictions for enhanced cloud security

IBM Big Data Hub

If you read some of my earlier blog posts , you know that I automated the setup (onboarding) for workshops and hackathons. Thus far, running my Terraform scripts to deploy resources and privileges meant allowing access to them. Thanks to a (relatively) new IBM Cloud security feature called time-based restrictions , I can decouple the deployment process from when access is possible.

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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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A forensic look into cloud success with Broadcom’s Andy Nallappan

CIO Business Intelligence

Companies moving to the cloud often find themselves at a crossroads near the midpoint of their migrations, spending more than they intended and getting less than they hoped. Often that’s because their IT organization isn’t equipped with the culture, mindset, and skills necessary to capitalize on the cloud. Andy Nallappan has had a long career in IT, including CIO roles, but his current job at Broadcom is managing the company’s external cloud platform, DevOps, and SaaS operations across multiple

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OpenAI Teases Open-Source GPT Model Release

Analytics Vidhya

OpenAI, a pioneering force in artificial intelligence, is creating waves in the tech community by potentially releasing its open-source GPT model. Though no official announcement has been made, OpenAI’s prominent figure, Andrej Karpathy, has hinted at the possibility of making GPT-3.5 available to the public. This article delves into the exciting developments and implications of […] The post OpenAI Teases Open-Source GPT Model Release appeared first on Analytics Vidhya.

Modeling 260
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A side-by-side comparison of Apache Spark and Apache Flink for common streaming use cases

AWS Big Data

Apache Flink and Apache Spark are both open-source, distributed data processing frameworks used widely for big data processing and analytics. Spark is known for its ease of use, high-level APIs, and the ability to process large amounts of data. Flink shines in its ability to handle processing of data streams in real-time and low-latency stateful computations.

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A Brief Primer On Monetizing & Unlocking Value From Healthcare Data

Smart Data Collective

Put your thinking caps on and picture this—an undiscovered gold mine of healthcare data. Think of the hidden gems of insights, possible breakthroughs, and treasure buried in mountains of patient info, health stats, and treatment results. Talk about striking gold! But getting that treasure chest open and turning it into cash? That’s not a walk in the park, but hey, we’re up for a good adventure!

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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.