Sat.Jan 08, 2022 - Fri.Jan 14, 2022

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Analyzing the Income Level of US Census Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be predicting the income of US people based on the US census data and later we will be concluding whether that individual American have earned more or less than 50000 dollars a year. If you want to know […]. The post Analyzing the Income Level of US Census Data appeared first on Analytics Vidhya.

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Reltio Connects MDM in the Cloud for Business

David Menninger's Analyst Perspectives

Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and siloed. And as the organization increases its data sources and adds more systems and custom applications, it becomes challenging to manage the data consistently and keep data definitions up to date.

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DataKitchen Introduces DataOps Training and Certification Program

DataKitchen

Cambridge, Mass. – June 16, 2021. Today, DataKitchen announced the release of the latest book in its groundbreaking DataOps series, Recipes for DataOps Success: The Complete Guide to An Enterprise DataOps Transformation. This book follows on the heels of its successful precursor, The DataOps Cookbook , which has been downloaded more than 14,000 times and counting.

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What’s ahead for AI, VR, NFTs, and more?

O'Reilly on Data

Every year starts with a round of predictions for the new year, most of which end up being wrong. But why fight against tradition? Here are my predictions for 2022. The safest predictions are all around AI. We’ll see more “AI as a service” (AIaaS) products. This trend started with the gigantic language model GPT-3. It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API.

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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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NLP Tutorials Part -I from Basics to Advance

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. […]. The post NLP Tutorials Part -I from Basics to Advance appeared first on Analytics Vidhya.

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A Deep Look Into 13 Data Scientist Roles and Their Responsibilities

KDnuggets

Any modern company of any significant size around the world has a data science department, and a data engineer at one company might have the same responsibilities as a marketing scientist at another company. Data science jobs are not well-labeled, so make sure to cast a wide net.

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Are Viewers Expecting a Story? Lightning Talk from the DATAcated Expo

Depict Data Studio

Never, ever keep the default settings. That was the overarching theme of my Lightning Talk at the DATAcated Expo, which was held virtually in October 2021. You’re not going to keep the ugly, outdated defaults. Great! But what should you do instead? And how do you modify a graph so that it’s just right for your audience? Surely a group of scientists will need something different from a group of policymakers.

IT 129
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A Comprehensive Guide on Human Pose Estimation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Human Pose estimation is a computer vision task that represents the orientation of a person in a graphical format. This technique is widely applied to predict a person’s body parts or joint position. It is one of the most exciting areas of research in computer […]. The post A Comprehensive Guide on Human Pose Estimation appeared first on Analytics Vidhya.

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Running Redis on Google Colab

KDnuggets

Open source Redis is being increasingly used in Machine Learning, but running it on Colab is different compared to on your local machine or with Docker. Read on for a 2-step tutorial on how to do it.

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5 Ways to Use AI to Vet a Content Site Before Purchasing It

Smart Data Collective

Savvy business owners need to appreciate the benefits of using AI technology to make the most out of their business models. Entrepreneurs considering purchasing existing businesses have discovered that AI technology can be highly useful. You can use AI technology when you are considering purchasing a new website. You will be able to tell whether the site is likely to be profitable and provide enough of a sustainable revenue stream to make up for the investment.

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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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SAP Industry Insights Podcast Highlights of 2021 with Host Tom Raftery

Timo Elliott

I recently had the opportunity to sit down with Tom Raftery , host of the SAP Industry Insights Podcast (among others!) to discuss some of the highlights and common themes in last year’s episodes. The topics covered a wide variety of different industries, with lots of great, concrete examples of how SAP’s customers and partners are using technology to innovate.

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Brief Introduction to Tensorflow for Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Reference 1 Introduction Tensorflow is a popular open-source machine learning framework developed by Google. It is primarily used by machine learning practitioners in research and industry for the training and inference of deep neural networks. Instead of building machine learning and deep learning […].

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The Story of the Women in Data Science (WiDS) Datathon

KDnuggets

The author shares their experience of almost winning the competition and the things they have learned from the failures. Learn more about the WiDS Datathon and tips on winning the next challenge.

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AI-Powered Cyberattacks: Hackers Are Weaponizing Artificial Intelligence

Smart Data Collective

There is no denying the fact that AI is transforming the cybersecurity industry. A double-edged sword, artificial intelligence can be employed both as a security solution and a weapon by hackers. As AI enters the mainstream, there is much misinformation and confusion regarding its capabilities and potential threats. Dystopian scenarios of all-knowing machines taking over the world and destroying humanity abound in popular culture.

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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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Your Guide to The Corporate Financial Planning Process

Jedox

How do you know at any time whether your company is solvent? How do you deal with financial bottlenecks? Is there a way to determine the future of your business? The answer to these questions and more: a solid financial plan. Table of Contents. What is the corporate financial planning process? What is the goal of corporate financial planning? The importance of financial planning for your company.

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Understanding Confidence Intervals with Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of contents Introduction Confidence Intervals with Z-statistic Interpreting Confidence Intervals Assumptions for CI using z-statistic Confidence intervals with t-statistic Assumptions for CI using t-statistic Making a t-interval with paired data z-value vs t-value: when to use what?

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Query Your Pandas DataFrames with SQL

KDnuggets

Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code.

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Problems Solved with AI And Machine Learning in Customer Service

Smart Data Collective

The marketing profession has been fundamentally changed due to advances in artificial intelligence and big data. The market size for AI in marketing is expected to grow ove r 31% a year through 2028. It is growing at an even faster pace as more companies discover new benefits. Unfortunately, there are a number of AI-driven marketing mistakes companies continue to make.

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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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Better Together: Customers Talking about Innovation with SAP Business Technology Platform

Timo Elliott

It seems like everyone is talking about digital transformation, but what does it really look like at a functional level? What is the best way to get started? And what does it look like when it is done right? That is exactly what we have been exploring in the Better Together: Customer Conversations series , hosted by Tamara McCleary , CEO, Thulium, and myself.

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Walmart’s Sales Analysis through Data Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be dealing with Walmart’s sales dataset and will follow all the data analysis steps on the same and as a result, will try to get some business-related insights from the operations we will be performing on this dataset. […]. The post Walmart’s Sales Analysis through Data Visualization appeared first on Analytics Vidhya.

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Is Data Science a Dying Career?

KDnuggets

At the end of the day, the value a data scientist provides to an organization lies in their ability to apply data to real-world use cases.

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What Are the Benefits of Using Cloud-Based Workplace Apps?

Smart Data Collective

Cloud technology has been an instrumental driving force in many industries. Companies around the world are expected to spend over $947 billion on cloud technology by 2026. There are many ways that the cloud is changing our daily lives and the business models of entire industries. One of the biggest changes has to do with employee communication. A new generation of cloud-based workplace communication apps are leading to some drastic changes in many industries.

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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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Avoid Data Sharing Lock-in and Take the Open Road

Teradata

There is a lot of hype today around data sharing and the value it brings to your business. But what exactly is data sharing, and why should you and your company care? Find out more.

IT 97
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Quick Web Scraping using Gazpacho

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Web Scraping is considered a fundamental process of getting data from the web. It automates the process of extracting the data from a web page, which is quicker and hassle-free than the conventional copy-pasting of the data. Thanks to the programming language methods, structuring […].

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A (Much) Better Approach to Evaluate Your Machine Learning Model

KDnuggets

Using one or two performance metrics seems sufficient to claim that your ML model is good — chances are that it’s not.

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Ways Data Analytics Helps Business Owners Resolve Financial Issues

Smart Data Collective

Data analytics has arguably become the biggest gamechanger in the field of finance. Many large financial institutions are starting to appreciate the many advantages that big data technology has brought. Markets and Markets estimates that the financial analytics market will be worth $11.4 billion in the next two years. Companies in the financial sector aren’t the only ones discovering the benefits of using data analytics for financial management.

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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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Why Ransomware Groups Are Scarier Than Their Attacks

CDW Research Hub

The most concerning thing about the rising numbers of ransomware attacks isn’t the actual attacks. Instead, it’s the organized groups methodically and resolutely carrying out these attacks across the globe. Does this mean that the risks of ransomware have been overhyped? Not at all. Ransomware is now getting just the right amount of exposure. More awareness among C-level executives, board members and other leaders ensures more funding and tools for security teams to detect, prevent and mitigate

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HQL COMMANDS FOR DATA ANALYTICS

Analytics Vidhya

HQL or Hive Query Language is a simple yet powerful SQL like querying language which provides the users with the ability to perform data analytics on big datasets. Owing to its syntax similarity to SQL, HQL has been widely adopted among data engineers and can be learned quickly by people new to the world of […]. The post HQL COMMANDS FOR DATA ANALYTICS appeared first on Analytics Vidhya.

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Context, Consistency, And Collaboration Are Essential For Data Science Success

KDnuggets

It’s crucial to investigate the reasons why data science teams require context, consistency, and secure collaboration of their data to ensure data science success. Let's quickly examine each of these requirements so that we can better understand what data science success moving forward may look like.

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Is Your App Ready to Go Live? Five Things You Need to Do First

Smart Data Collective

Apps are being published left and right these days, and to someone on the outside, it can almost seem as though application development is easy and everyone is doing it. But anyone who has actually worked on developing an app knows the process is exactly the opposite. It can be long, drawn-out, and unsatisfying – especially if your application does not turn out how you pictured it.

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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.