Sat.May 14, 2022 - Fri.May 20, 2022

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How to Approach CNN Architecture from Scratch?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on CNN Architecture Hello, and welcome again to another intriguing subject. As a consequence of the large quantity of data accessible, particularly in the form of photographs and videos, the need for Deep Learning is growing by the day. Many advanced designs […]. The post How to Approach CNN Architecture from Scratch?

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Accelerate Business Outcomes with Immuta Data Access Governance

David Menninger's Analyst Perspectives

The data governance landscape is growing rapidly. Organizations handling vast amounts of data face multiple challenges as more regulations are added to govern sensitive information. Adoption of multi-cloud strategies increases governance concerns with new data sources that are accessed in real time. Our Data Governance Benchmark Research shows that organizations face multiple challenges when deploying data governance.

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The Complete Collection of Data Science Books – Part 1

KDnuggets

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

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Top 10 AI graduate degree programs

CIO Business Intelligence

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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An Exploratory Data Analysis Guide for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Exploratory Data Analysis When we start with data science we all want to dive in and apply some cool sounding algorithms like Naive Bayes, XGBoost directly to our data and expects to get some magical results. But we tend to forget that before applying those […].

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6 Ways Data Analytics Can Improve Targeting with LinkedIn Ads

Smart Data Collective

Big data has become a very important part of modern marketing practices. More companies are using data analytics and AI to optimize their marketing strategies. This is especially true for companies using digital marketing practices, such as social media. LinkedIn is one of the platforms that helps people use big data to facilitate online marketing. You can use their sophisticated analytics dashboard to improve your marketing strategies.

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6 business risks of shortchanging AI ethics and governance

CIO Business Intelligence

Depending on which Terminator movies you watch, the evil artificial intelligence Skynet has either already taken over humanity or is about to do so. But it’s not just science fiction writers who are worried about the dangers of uncontrolled AI. In a 2019 survey by Emerj , an AI research and advisory company, 14% of AI researchers said that AI was an “existential threat” to humanity.

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An Introduction to SQL Commands for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to SQL SQL stands for the Structure Query Language. And it is the most popular RDBMS (Relational Database Management System) language used to create, access, and manage databases. It was developed in the year 1970 at IBM. SQL became a standard of the […]. The post An Introduction to SQL Commands for Beginners appeared first on Analytics Vidhya.

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8 Data-Driven Strategies to Improve Customer Engagement

Smart Data Collective

Data-savvy companies are constantly exploring new ways to utilize big data to solve various challenges they encounter. A growing number of companies are using data analytics technology to improve customer engagement. Werner H Kunz of the University of Massachusetts Boston and some of his colleagues addressed this in their paper Customer Engagement in a Big Data World.

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Popular Machine Learning Algorithms

KDnuggets

This guide will help aspiring data scientists and machine learning engineers gain better knowledge and experience. I will list different types of machine learning algorithms, which can be used with both Python and R.

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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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The rise of servant leadership

CIO Business Intelligence

CIO Nicole Raimundo Coughlin has always tried to look at her IT team holistically, listen to their needs, and provide them with opportunities to learn and grow. But the pandemic required her to take empathy and empowerment to a new level. “Our Teams and Zoom meetings put us inside the lives of our employees in their homes,” says Coughlin, CIO for the Town of Cary, N.C.

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A Guide to Web Scraping Rotten Tomatoes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Web Scraping The data consistently have been fuelling the growth of industries from time immemorial. It is not a new thing. Businesses have always been using data to make decisions to drive their profits up, capture more markets, and stay ahead […]. The post A Guide to Web Scraping Rotten Tomatoes appeared first on Analytics Vidhya.

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Big Data Creates Many Great Opportunities With Sales Automation

Smart Data Collective

Big data technology is incredibly important in many aspects of modern business. The sales profession is one of the areas most affected by data. Companies spent $2.8 billion on marketing analytics in 2020 alone. That figure is growing substantially each year. There are many ways that big data is helping companies improve sales. One of the biggest benefits is that it can help automate many aspects of the sales process.

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Natural Language Processing Key Terms, Explained

KDnuggets

This post provides a concise overview of 18 natural language processing terms, intended as an entry point for the beginner looking for some orientation on the topic.

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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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5 tips for building your innovation ecosystem

CIO Business Intelligence

In their quest for IT innovation, CIOs need to look beyond the typical “most innovative companies” lists. Innovation today is taking place at the platform level, which necessitates thinking more about vendors and partners in terms of how they fit into your ecosystem. According to the IDC FutureScape: Worldwide Future of Industry Ecosystems 2021 Predictions, leaders can no longer view their organization in isolation and future success comes from being part of an industry ecosystem.

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Most Important SQL Queries for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL stands for “Structured Query Language” and is a programming language that is used to query and manipulate relational databases. The number of data points is increasing every minute, but raw data offers no insight. All this data is stored in databases […].

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Steps Companies Should Take to Come Up Data Management Processes

Smart Data Collective

Data is becoming more important to modern organizations than ever before. However, many companies are still struggling to use it effectively. One poll found that 74% of companies feel they are still struggling to use data effectively. One of the problems is that they don’t manage their data well. How Companies Can Manage their Data Better. The process of managing data can be quite daunting and complicated.

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Finding the Best IDE Software

KDnuggets

What should you be looking for in an IDE? Find out here.

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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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10 top enterprise service management systems—and how to choose

CIO Business Intelligence

What is enterprise service management? Enterprise service management (ESM) is the practice of applying IT service management (ITSM) principles and capabilities to improve service delivery in non-IT parts of an organizations, including human resources, legal, marketing, facilities, and sales. ESM aims to make it easier and more efficient for companies to deliver and support employee services.

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PySpark MLIB Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working withPySpark‘s MLIB library it is commonly known as the Machine learning library of PySpark where we can use any ML algorithm that was previously available in SkLearn (sci-kit-learn). We can perform all the operations which were […].

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Can AI Help Create an Ideal Employee Compensation Package?

Smart Data Collective

As businesses strive to remain competitive in today’s economy, the question of how to best compensate employees becomes more important. Many companies are turning to artificial intelligence (AI) to help them create an ideal employee compensation package. . AI can analyze data from a variety of sources to help businesses determine which benefits and salary levels will be most appealing to potential employees.

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How to Manage Your Complex IT Landscape with AIOps

KDnuggets

Complete guide and blog post series on IT Operations Management with AIOps. Using AI and Machine Learning to manage IT complexity to deliver world class IT service while keeping the lights on.

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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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Only engaged service teams can deliver next-level customer loyalty in an era of uncertainty

CIO Business Intelligence

Customers are increasingly demonstrating that they will not settle for subpar experiences. On the other hand, brands that deliver excellent customer service build trust, according to new research. And 80% of customers who experience great support will recommend the company to others. It’s not surprising that customer service has such a strong influence on loyalty, referrals, and brand perception.

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Multiple Web Scraping Using Beautiful Soap Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Web scraping, is an approach to extract content and data from a website. Web Scraping makes use of intelligence automation methods to draw millions of datasets in a comparatively shorter amount of time. There are ample ways to get data from websites. […]. The post Multiple Web Scraping Using Beautiful Soap Library appeared first on Analytics Vidhya.

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QA Teams Need All-in-One Data Analytics Platforms for Testing

Smart Data Collective

Data analytics is an invaluable part of the modern product development process. Companies are using big data for a variety of purposes. One of the most essential benefits is with the QA process. Advances in data analytics have raised the bar with QA standards. Companies need to invest in higher quality data analytics solutions to make the most of their QA methodologies.

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5 Ways to Double Your Income with Data Science

KDnuggets

Here’s how you can use your data skills to generate side income from home.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Five areas where EA matters more than ever

CIO Business Intelligence

The discipline of enterprise architecture (EA) is often criticized for forcing technology choices on business users or producing software analyses no one uses. But the practice of EA is booming today, and architects of any description are hard to find and “incredibly expensive,” says Gartner Research VP Marcus Blosch. . Forrester Research has identified more than 20 types of enterprise architecture roles being used by its clients.

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Get to Know Apache HBase from Scratch!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Apache HBase With the constant increment of structured data, it is getting difficult to efficiently store and process the petabytes of data. Apache HBase is a column-oriented, open-source NoSQL database, part of the Big data technology stack. To provide a massive amount […].

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7 Ways Online Businesses Can Stop Data Breaches Through Social Media

Smart Data Collective

Data breaches are becoming more common than ever. The Thales Data Threat Report found that 45% of companies suffered a data breach in the past year. Online businesses are among the most likely victims of data breaches. They are more easily exposed to hackers, which means they have to do more to protect sensitive data. One of the ways hackers target online businesses is through social media.

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Operationalizing Machine Learning from PoC to Production

KDnuggets

Most companies haven’t seen ROI from machine learning since the benefit is only realized when the models are in production. Here’s how to make sure your ML project works.

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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.