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

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A Beginner’s Introduction To The Most Common Data Types In Programming 

datapine

Table of Contents 1) What Are Data Types? 2) The Need For Data Types 3) List Of Common Data Types a) Primitive Data Types b) Composite Data Types c) Abstract Data Types In our digitally-driven age, data is permeating every industry and business function at an increasing pace. In fact, it is estimated that approximately 328.77 million terabytes of data are generated every day.

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Why companies need to accelerate data warehousing solution modernization

IBM Big Data Hub

Unexpected situations like the COVID-19 pandemic and the ongoing macroeconomic atmosphere are wake-up calls for companies worldwide to exponentially accelerate digital transformation. During the pandemic, when lockdowns and social-distancing restrictions transformed business operations, it quickly became apparent that digital innovation was vital to the survival of any organization.

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Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making.

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Gaining Control of Your CDP Environment

Cloudera

Unwelcome… … are platform instability, downtime, hardware failure, poor performance, cluster resource contention, repeated process failures, runaway live queries, critical services alarms, invisibility into alarm cacophony… the list goes on. If those are ailments you would like to remedy … Welcome! To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment.

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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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4 steps to improving your ESG risk management to increase financial performance

IBM Big Data Hub

Environmental, Social, and Governance (ESG) risk management has emerged as a critical aspect of business strategy for companies worldwide. A 2023 IBM IBV study showed that organizations that are seen as ESG leaders are 43% more likely to outperform their peers on profitability. However, 57% of CEOs admit that defining and measuring the Return on Investment (ROI) and economic benefits of their sustainability efforts remain a significant challenge.

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Dealing With Noisy Labels in Text Data

KDnuggets

The article shows effective coding procedures for fixing noisy labels in text data that improve the performance of any NLP model. The impact is proved by the comparison of the ML algorithm on starting and cleaning the dataset.

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Data Science vs Data Analytics: Which One Will Give You the Edge in 2023?

Analytics Vidhya

Data Science and Data Analytics are two interrelated fields that have become increasingly important in today’s data-driven world. This article will explore the differences and similarities between these two fields and provide real-world examples of their applications. Find out which career is better for you: Data Science vs Data Analytics! Data Science vs Data Analytics […] The post Data Science vs Data Analytics: Which One Will Give You the Edge in 2023?

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A Complete Guide To Spider Charts With Best Practices And Examples Of When To Use Them 

datapine

Table of Contents 1) What Is A Spider Chart? 2) When To Use Spider Graphs 3) Types Of Radar Charts 4) Radar Graph Best Practices 5) Spider Chart Examples If you are reading this blog post then you must be somewhat aware of the value of data visualization. Because they make complex data more accessible and understandable for a wide range of audiences, graphs and charts, permeate all areas of our lives with their multiple use cases in the news, media, politics, and business.

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Generative AI Ushers in a New Age of Content and Model Creation

David Menninger's Analyst Perspectives

Generative AI is a class of artificial intelligence used to generate new, seemingly real content. Broadly speaking, AI has traditionally been used to identify patterns in data and apply those patterns to categorize and predict behaviors. For instance, it can organize customers into groups (or clusters) with similar characteristics, or predict which customers are most likely to respond to certain offers.

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What Oracle’s cloud expansion means for businesses in the Middle East

CIO Business Intelligence

To meet the rapidly growing demand for its cloud services, Oracle has announced plans to open a third public cloud region in Saudi Arabia. Located in Riyadh, the new cloud region will be part of a planned $1.5 billion USD investment from Oracle to expand cloud infrastructure capabilities in the Kingdom. The new region in Riyadh will join Oracle’s existing cloud region in Jeddah and a planned Oracle cloud region in the new city of NEOM.

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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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Can AI-Generated Content Really Be Detected?

Analytics Vidhya

AI Detection Software Flagging the US Constitution as AI-Generated Content ChatGPT, one of history’s most widely adopted internet tools, has become increasingly popular among students and professionals for completing university essays, schoolwork, and other tasks. Along with the rise in generative AI tools and AI-generated content, a number of AI detection tools and software have […] The post Can AI-Generated Content Really Be Detected?

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How the BMW Group analyses semiconductor demand with AWS Glue

AWS Big Data

This is a guest post co-written by Maik Leuthold and Nick Harmening from BMW Group. The BMW Group is headquartered in Munich, Germany, where the company oversees 149,000 employees and manufactures cars and motorcycles in over 30 production sites across 15 countries. This multinational production strategy follows an even more international and extensive supplier network.

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Data Visualization Best Practices & Resources for Effective Communication

KDnuggets

This article is meant to help you understand the art of data visualization and how to apply it to your work.

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BNY Mellon banks on AI to improve master data

CIO Business Intelligence

Data about who owes how much to whom is at the core of any bank’s business. At Bank of New York Mellon, that focus on data shows up in the org chart too. Chief Data Officer Eric Hirschhorn reports directly to the bank’s CIO and head of engineering, Bridget Engle, who also oversees CIOs for each of the bank’s business lines. “It’s very purposeful because a lot of the opportunities for us around data require tight integration with our technology,” says Hirschhorn.

Software 140
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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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Google Bard Learnt Bengali on Its Own: Sundar Pichai

Analytics Vidhya

The recent rise of AI chatbots like Google’s Bard, OpenAI’s ChatGPT, and Microsoft’s Bing has fueled discussions about generative AI’s capabilities and potential downsides. Google CEO Sundar Pichai and OpenAI CEO Sam Altman have both expressed concerns about AI turning harmful if not properly deployed. Furthermore, Altman even admitted to being “scared” of his creation. […] The post Google Bard Learnt Bengali on Its Own: Sundar Pichai appeared first on A

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5 Best Server Backup Software for Data-Driven Businesses

Smart Data Collective

Big data has led to some huge changes in the way we live. John Deighton recently posted about this in an article on The Economic Times. John Deighton is a leading expert on big data technology. His research focuses on the importance of data in the online world. Searching for a topic on a search engine can provide us with a vast amount of information in seconds.

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Top Posts April 17-23: AutoGPT: Everything You Need To Know

KDnuggets

AutoGPT: Everything You Need To Know • Baby AGI: The Birth of a Fully Autonomous AI • Mastering Generative AI and Prompt Engineering: A Free eBook • Data Analytics: The Four Approaches to Analyzing Data and How To Use Them Effectively • A Step-by-Step Guide to Web Scraping with Python and Beautiful Soup

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10 highest-paying IT jobs

CIO Business Intelligence

The past year was rough for the tech industry, with several companies reporting layoffs and the looming threat of a recession. But despite the bumpy year, demand for technology skills remains strong, with the US tech unemployment rate dropping to 1.5% as of January. For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud.

IT 116
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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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Pandas 2.0

Analytics Vidhya

Introduction If you work with programming languages and are familiar with Python, you must have had a brush with Pandas, a robust yet flexible data manipulation and analysis library. It was founded by Wes McKinney in 2008. Its value in the data analysis market cannot be overstated, as it has become the go-to tool for […] The post Pandas 2.0 appeared first on Analytics Vidhya.

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Introducing Native Connector for Google BigQuery: Boosting Data Lineage, Migration, and Discovery

Octopai

Octopai is proud to announce the introduction of an automated connector for Google BigQuery. This new native integration enhances our data lineage solution by providing seamless integration with one of the most powerful cloud-based data warehouses, benefiting data teams and enabling support for a broader range of data lineage, discovery, and catalog.

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Automate Your Codebase with Promptr and GPT

KDnuggets

Are you looking to streamline your code operations with GPT but are tired of the copy-pasting process? Well, here is the solution in the form of Promptr. An open-source tool to automate your codebase.

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ChatGPT, the rise of generative AI

CIO Business Intelligence

Over the last few months, both business and technology worlds alike have been abuzz about ChatGPT, and more than a few leaders are wondering what this AI advancement means for their organizations. Let’s explore ChatGPT, generative AI in general, how leaders might expect the generative AI story to change over the coming months, and how businesses can stay prepared for what’s new now—and what may come next.

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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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China Develops AI-Powered Artillery to Target Taiwan

Analytics Vidhya

According to reports, China has been working on artificial intelligence (AI) to increase the accuracy of its artillery attacks. They may utilize it in a future battle with Taiwan. Under the direction of Professor Wang Jiang from the Beijing Institute of Technology, a science team tested AI-powered artillery rounds in July of last year. On […] The post China Develops AI-Powered Artillery to Target Taiwan appeared first on Analytics Vidhya.

Testing 314
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Monitor and optimize cost on AWS Glue for Apache Spark

AWS Big Data

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. One of the most common questions we get from customers is how to effectively monitor and optimize costs on AWS Glue for Spark.

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Using ChatGPT to Learn SQL

KDnuggets

And how to use this amazing tool to enhance our SQL skills.

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The 7 venial sins of IT management

CIO Business Intelligence

As a CIO you can get advice about how to be more effective from any number of sources, from what you get here in CIO Survival Guide (best practice), to other sources here at CIO.com, to, if you’re desperate, various punditries like Gartner, Forrester, and McKinsey. Most of what you read lists what should be a CIO’s top priorities. They usually read like they were written by Captain Obvious, but that doesn’t make them wrong.

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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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GigaChat: Russian Rival of ChatGPT

Analytics Vidhya

In response to the growing interest in artificial intelligence and the rapid adoption of chatbot technologies worldwide, Russia’s dominant financial institution, Sberbank, has recently unveiled its own AI chatbot, GigaChat. The Russian-made chatbot is designed to offer a high-quality alternative to OpenAI’s popular ChatGPT. Moreover, it is currently in its initial invite-only testing phase.

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Connect Kafka client applications securely to your Amazon MSK cluster from different VPCs and AWS accounts

AWS Big Data

You can now use Amazon Managed Streaming for Apache Kafka (Amazon MSK) multi-VPC private connectivity (powered by AWS PrivateLink ) and cluster policy support for MSK clusters to simplify connectivity of your Kafka clients to your brokers. Amazon MSK is a fully managed service that makes it easy for you to build and run applications that use Kafka to process streaming data.

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MiniGPT-4: A Lightweight Alternative to GPT-4 for Enhanced Vision-language Understanding

KDnuggets

MiniGPT-4 possesses many capabilities of GPT-4 like generating image descriptions, creating a website with a hand-written draft, and writing a poem based on an image.

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AI’s one true X factor: Leadership

CIO Business Intelligence

If there are any eternal truths about emerging technologies, it’s that there are always naysayers. Some who deride the value of the latest ingenuity prove prescient. Others, not so much. Ken Olson, president, chairman, and founder of Digital Equipment Corp., famously once advised , “There is no reason for any individual to have a computer in his home.

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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.