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

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10 Upcoming Data Science Platforms for Massive Disruption

DataKitchen

The post 10 Upcoming Data Science Platforms for Massive Disruption first appeared on DataKitchen.

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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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Process Mining: Improve Execution and Operations with Analytics

David Menninger's Analyst Perspectives

Process-mining software isn’t exactly new, but it’s also not widely known in the software technology market. The discipline has been around for at least a decade, but is generating more interest these days with both specialist vendors and major enterprise software vendors offering process-mining products and services. We assert that through 2022, 1 in 4 organizations will look to streamline their operations by exploring process mining.

Analytics 278
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Your Guide To Modern Agency Analytics, Dashboards & Reporting Techniques

datapine

With the exponential growth of digital businesses, so has grown the need to outsource some key processes to digital agencies. Although this is positive for the many types of agencies in the market, it has also left them facing a big challenge. With more potential clients on the lookout, agencies need to stand out from the rest with top-quality services and unique features that will make them irreplaceable for their clients.

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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 DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically imp

Testing 304
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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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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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How to Visualize Qualitative Data with Colored Phrases

Depict Data Studio

Wondering how to visualize your qualitative data? Maybe you’ve got open-ended survey responses, focus group notes, or speech transcripts. Qualitative data visualization can bring our words and phrases to life. My friend Jon Schwabish from PolicyViz asked me to partner on his One Chart at a Time project, in which we’re helping you get better-acquainted with common and not-so-common chart types.

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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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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities.

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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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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

For most entrepreneurs, the best way to make money is to find ways to work smarter and not harder. While different companies, regardless of their size, have different operational processes, they share a common need for actionable insight to drive success in their business. Advancement in big data technology has made the world of business even more competitive.

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PODCAST: Making AI Real – Episode 5: Debunking AI Myths

bridgei2i

PODCAST: Making AI Real. Episode 5: Debunking AI Myths. Listening time: 15 minutes. Debunking AI Myths. In this episode of the AI to Impact podcast, Divyansh Mishra and Anil Prasad from AI Labs, BRIDGEi2i discuss the myriad misconceptions of artificial intelligence and decode the real deal with AI. They talk about the buzzword that used to be AI and elaborate on the science behind Deep Neural Networks.

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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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Augmented Analytics: Empowering Users with Deeper Intelligence

Sisense

Blog. Analytics is the future. It’s the present, too, but you already know that. Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. But just as you’re getting a handle on your analytics program, you start hearing about “augmented analytics,” and now you’re worried you need to adopt that too to stay competitive in an evolving world.

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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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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

Marketing 133
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25 Best Healthcare KPIs and Metric Examples for 2021 Reporting

Jet Global

What is a Healthcare KPI? A healthcare Key Performance Indicator (KPI) or metric is a well-defined performance measure that is used to observe, analyze, optimize, and transform a healthcare process to increase satisfaction for both patients and healthcare providers alike. These metrics are commonly used by care facilities to compare their performance to other care facilities and identify areas of improvement.

Metrics 98
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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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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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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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How Can Tax Professionals Leverage Software to Become More Strategic?

Jet Global

Demands on tax teams have never been greater, especially when the uncertainty of the economy and the ongoing impact of the pandemic are considered. Yet somehow tax professionals need to transition from their current position, which is arguably often restricted to compliance and reporting processes, to take on a more strategic role that adds more value to the business.

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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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10 Steps to Achieve Enterprise Machine Learning Success

Cloudera

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. It’s a pie-in-the-sky statement that sounds great, right? And while you’d be forgiven for thinking that it might sound too good to be true, operational ML is , in fact, achievable and sustainable. You can get the very kind of ML you need to increase revenue and lower costs.

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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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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.

Testing 127
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Data quality assurance in BI - based on CRM data

ScienceSoft

No more wrong data analysis caused by bad data! Be armed with our new blog post on data quality assurance in the context of CRM.

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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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Cloudera Data Engineering – Integration steps to leverage spark on Kubernetes

Cloudera

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. CDE enables you to spend more time on your applications, and less time on infrastructure. CDE allows you to create, manage, and schedule Apache Spark jobs without the overhead of creating and maintaining Spark clusters.

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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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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

Big Data 118
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Data Insights, Trends, and Best Practices to Achieve Organizational Excellence

DataCamp

We’ve compiled a list of expert resources to inform your data strategy. Explore these webinars and white papers at no cost.

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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.

Analytics 374
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5 Success Stories That Show the Value of Enterprise Data Cloud

Cloudera

What’s the fastest and easiest path towards powerful cloud-native analytics that are secure and cost-efficient? In our humble opinion, we believe that’s Cloudera Data Platform (CDP). And sure, we’re a little biased—but only because we’ve seen firsthand how CDP helps our customers realize the full benefits of public cloud. . Organizations from across the globe and virtually every industry have used CDP to generate new revenue streams, decrease operational costs, and mitigate risks.

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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.