Sat.Apr 10, 2021 - Fri.Apr 16, 2021

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How to manipulate a 20G CSV file efficiently?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. This post is to compare the performance of different methods. The post How to manipulate a 20G CSV file efficiently? appeared first on Analytics Vidhya.

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The data lakehouse: just another crazy buzzword?

Dataconomy

Data professionals have long debated the merits of the data lake versus the data warehouse. But this debate has become increasingly intense in recent times with the prevalence of data and analytics workloads in the cloud, the growing frustration with the brittleness of Hadoop, and hype around a new architectural.

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3 Top Email Security Practices to Prevent a Data Breach

Smart Data Collective

Cyber-attacks have emerged as a big threat to the world. The World Economic Forum has included cyber-attacks and data breaches in the list of top global risks in 2020. The problems associated with data breaches cannot possibly be overstated. The average data breach cost $3.86 million and that figure could rise even further in the future. While a cyber-attack can take a toll on anyone, it is particularly threatening for business enterprises.

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New in Tableau Catalog: Improved search and monitoring for data quality warnings

Tableau

Kate Grinevskaja. Product Manager, Tableau Prep. Kristin Adderson. April 12, 2021 - 10:59pm. April 14, 2021. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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The Easiest Way To Deploy Machine Learning Models: PyWebIO

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Creating a machine learning model is a wholesome process involving. The post The Easiest Way To Deploy Machine Learning Models: PyWebIO appeared first on Analytics Vidhya.

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How data allows TV to be measured the way people watch it

Dataconomy

The TV landscape of 2021 is unrecognizable compared to that of the 1950s when TV ad exposure measurement was born. As viewing habits have evolved over the decades, the advertising industry hasn’t always kept up-to-date. The worldwide pandemic and national lockdowns became a catalyst for change, with UK audiences spending.

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Three Steps to Building a Successful Data Migration and Protection Strategy

Dataversity

Click to learn more about author Steve Leeper. Today’s data-hungry organizations face a growing range of management and migration challenges as their use of on-prem storage evolves and their consumption of cloud services continues to climb. Public cloud providers are rapidly increasing the capabilities of their file storage options in addition to their object storage […].

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Probability Theory Basics in Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Machine Learning is a very interesting branch of Artificial Intelligence. The post Probability Theory Basics in Machine Learning appeared first on Analytics Vidhya.

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Hyper-Casual Games: Trends and How to Reach Scale

Dataconomy

This article originally appeared on Hackernoon and is reproduced with permission. Hyper-casual games have captured the mobile games industry’s interest ever since the incredible meteoric rise (and fall) of Flappy Bird in 2014. In 2018, the total mobile games market stood at $50 billion, of which $10 billion came from.

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New AI Assistants Do Wonders for Marketing Teams

Smart Data Collective

A robust Artificial Intelligence or AI-based virtual assistant can supercharge your lead conversion process and optimize your marketing and sales teams’ performance. Conversica is one such solution, providing Intelligent Virtual Assistants (IVA) for customer engagement that help companies attract, obtain, and grow a customer base at scale. However, while Conversica offers excellent AI assistant features and functionalities, there are pros and cons to using the solution that might not fully addre

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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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Why AI Should Join Forces with Neuroscience

Dataversity

Click to learn more about author Biju Dominic. When AlphaGo made the 37th move in the second game of the famous match between AlphaGo and the leading Go player Lee Sedol, all the commentators of the match were shocked. It was a move no human player would ever think of making. In the thousand-year history of […]. The post Why AI Should Join Forces with Neuroscience appeared first on DATAVERSITY.

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Principal Component Analysis Introduction and Practice Problem

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Gentle Overview Cons of Using PCA. The post Principal Component Analysis Introduction and Practice Problem appeared first on Analytics Vidhya.

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Snowcase Study: How Data Governance Gives Texas Mutual Insurance Company a Competitive Edge

Alation

Chris Atkinson is partner CTO at Snowflake. He works with Snowflake partners to craft joint solutions. Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

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Reasons Data Science Consultants Can Be Excellent Investments

Smart Data Collective

There’s a lot of data out there, even for businesses that use relatively limited data sets for niche industries. Now that so many companies have tons of data to sift through before they can make informed decisions, lots of organizations are turning to data science consultants. A data science consultant is a specialist that knows how and where to sift through mountains of data for the good stuff that allows you to make smart decisions and take advantage of all the information provided by your cus

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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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How to Live with Chronic Imposter Syndrome

Eugene Yan

More education, achievements, and awards don't shoo away imposter syndrome. Here's what might help.

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A Gentle Introduction to PyTorch Library for Deep Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The following tutorial assumes some basic knowledge about Python programming. The post A Gentle Introduction to PyTorch Library for Deep Learning appeared first on Analytics Vidhya.

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Why You Should Be Data-Focused – Not Data-Driven

Dataversity

Click here to learn more about Victor Dudemaine. As data professionals, we are living in the golden age of “DATA.” Data is king. Consulting firms and CEOs alike are proclaiming “data is the new oil” that will run our information economy for years to come. The question I ask each of you then is this: “How […]. The post Why You Should Be Data-Focused – Not Data-Driven appeared first on DATAVERSITY.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

In the modern world of business, data is one of the most important resources for any organization trying to thrive. It also happens to be one of the most vulnerable and frequently attacked. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

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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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Five Steps to Reduce Customer Churn and Increase Revenue

DataRobot

Losing customers is expensive. According to Forrester , it costs five times more to acquire new customers than to keep existing ones. Market Metrics says that the probability of selling to an existing customer is in the 60-70 percent range, but only in the 15-20 percent range for a new prospect. You can mitigate this problem. At DataRobot, we can apply intelligent automation to help telecom companies reduce churn and increase revenue by boosting their ability to cross-sell and upsell to customer

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How Aviation Industry Uses Data Science?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Aviation Industry does use AI or rather data science and. The post How Aviation Industry Uses Data Science? appeared first on Analytics Vidhya.

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AIOps: How Businesses Adapted, and IT Departments Advanced, During the Pandemic

Dataversity

Click to learn more about author Robin Hernandez. Almost overnight, the pandemic exposed many of the weaknesses of IT departments in the modern business environment. CIOs and their teams were left scrambling to keep operations up and running with a socially distanced skeleton crew, while others faced significant security concerns due to the sudden shift […].

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Big Data Will Become Central to Healthcare Following The Pandemic

Smart Data Collective

Big data analytics has already had a transformative influence across a wide range of sectors, and it’s perhaps no more prevalent than in the world of healthcare. With the sheer volume of information that patients are capable of producing and the heightened emphasis on the industry in the wake of the COVID-19 pandemic , big data may yet develop into one of the most significant tools in maintaining the health of individuals and even anticipating the emergence of conditions that are yet to manifest

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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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New in Tableau Catalog: Improved search and monitoring for data quality warnings

Tableau

Kate Grinevskaja. Product Manager, Tableau Catalog. Kristin Adderson. April 12, 2021 - 10:59pm. April 14, 2021. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence.

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Rethinking AI – Artificial Intelligence

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. 1. Introduction We generally see data science from different perspectives. The post Rethinking AI – Artificial Intelligence appeared first on Analytics Vidhya.

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Developing AI-Based Solution for Web Scraping: Lessons Learned

Dataversity

Click to learn more about author Aleksandras Šulženko. As the buzz around artificial intelligence and machine learning keeps increasing, there are few tech-based companies who have yet to try their hand at it. We decided to take the plunge into AI and ML last year. We started small. Instead of attempting to implement machine learning […]. The post Developing AI-Based Solution for Web Scraping: Lessons Learned appeared first on DATAVERSITY.

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The Growing Importance of AI for Small Businesses

Smart Data Collective

Artificial intelligence (AI) is no more confined to big businesses. As the technology matures and becomes more affordable, it has found a place in startups and small businesses as well. Do you need some evidence to support this position? A survey of 1,467 CEOs of small and mid-sized businesses (SMBs) found that out of all the current technologies, AI has had the maximum impact on their business. .

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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DataRobot Automated Feature Discovery

DataRobot

Feature engineering is a critical part of the data science lifecycle that, more often than not, determines the success or failure of an AI project. At DataRobot, we know how hard it is to get started with AI, so we decided to take our automated feature engineering capabilities to the next level. DataRobot’s Feature Discovery accelerates feature engineering by generating hundreds of valuable new features using the relationships between your primary and multiple secondary datasets.

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Common mistakes Data Engineers do in their Learning Path

Analytics Vidhya

ArticleVideo Book It has been lately called that ‘data scientist’ is the sexiest job of the 21st century. However, now, data engineering jobs are. The post Common mistakes Data Engineers do in their Learning Path appeared first on Analytics Vidhya.

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Alexa, Make My Database Smart!

Dataversity

Click to learn more about author Marco Riva. In recent years, smart speakers like Amazon Alexa, Google Home, and Apple HomePod have increased their market share, and according to the forecast, their popularity will continue to grow. Lots of people have one or more of these speakers at home, and they are used for different […]. The post Alexa, Make My Database Smart!

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Data-Driven Cryptocurrency Traders Spur the Growth of Other Industries

Smart Data Collective

Big data and blockchain have played a very important role in the cryptocurrency industry. There are a lot of reasons that cryptocurrency traders are investing more heavily in big data technology. This is a big deal for investors trying to boost their revenue, but it also provides numerous benefits for other businesses. This shows that the benefits of big data are often interlinked between industries.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.