Sat.Dec 12, 2020 - Fri.Dec 18, 2020

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A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning!

Analytics Vidhya

Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from. The post A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.

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Open and free online data collection will fuel future innovations

Dataconomy

The saying “knowledge is power” doesn’t just apply to individuals but also businesses. While individuals can learn from books and life lessons, businesses need a tool to gather market insights. This is where online data collection comes in. It is one of the best tools because it provides up-to-date and. The post Open and free online data collection will fuel future innovations appeared first on Dataconomy.

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How to Start, Nurture, and Grow a Business with Big Data

Smart Data Collective

At any given moment, a single person creates roughly 1.7 MB of data. We’re creating and putting more information out there than at any other point in human history. At this rate, by the end of the year, we can expect the Big Data market to reach 40 trillion gigabytes. That’s more data than most of us can even begin to imagine. Now, this data contains everything from the pictures you upload on social media to comments you post on Reddit and everything in between.

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Retail’s urgency: Addressing customer and inventory needs with data

Tableau

Jeff Huckaby. Market Segment Director, Retail and Consumer Goods, Tableau. Kristin Adderson. December 14, 2020 - 8:37pm. December 22, 2020. Retail already changed from being product to more customer-centric influenced by increasing omni-channel initiatives that encourage digital transformation. Then Covid-19 hit. What retailers learned is that they must be willing and able to adapt quickly to internal and external forces.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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A Comprehensive Learning Path to Become a Data Scientist in 2021!

Analytics Vidhya

Are you Ready to Become a Data Scientist in 2021? A new year beckons! New resolutions to become a data scientist have to be. The post A Comprehensive Learning Path to Become a Data Scientist in 2021! appeared first on Analytics Vidhya.

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In Pod we trust: towards a transparent data economy

Dataconomy

polypoly Cooperative publishes a technical white paper featuring its core technology, the polyPod. The cooperative is the first of its kind: A pan-European data cooperative in which shareholder-members own and profit from the underlying technology. Download now! Things are totally out of control. We don’t know who has our data, The post In Pod we trust: towards a transparent data economy appeared first on Dataconomy.

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December Developer Platform news: Personal Access Tokens update, auto-disabling Webhooks, and JupyterLab integration

Tableau

Geraldine Zanolli. Developer Evangelist. Kristin Adderson. December 18, 2020 - 3:42am. December 18, 2020. Every month is like Christmas for Developer Program members because we strive to delight our members as we showcase the latest projects from our internal developer platform and tools engineers. For the last Sprint Demos, we featured some exciting updates: Personal Access Token impersonation, auto-disabling Webhooks, new Webhooks payload for Slack, and JupyterLab integration for the Hyper API

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Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio!

Analytics Vidhya

Overview Here is a list of Top 15 Datasets for 2020 that we feel every data scientist should practice on The article contains 5. The post Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio! appeared first on Analytics Vidhya.

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Strange Myths About Digital Transformation

Dataconomy

This article was originally published at Grit Daily and is reproduced with permission. Some things are just guaranteed to set me off. Denying facts, poor quality chocolate, and unsubstantiated myths top the list, although not necessarily in that order. I’ve had my fair share of exposure to all three recently, The post Strange Myths About Digital Transformation appeared first on Dataconomy.

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Observing the Benefits of Data Analytics with Beverage and Food Labeling

Smart Data Collective

Big data has created a number of major benefits in the food and beverage industry. Research from Byteant highlighted some of these benefits in a recent post. They pointed out that the global food and beverage industry is worth $81 trillion. Food and beverage companies are using big data to identify new marketing opportunities. They can monitor trends in the market and sell products that cater to evolving tastes.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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What is the Right Response to Employer Misbehavior in Research?

Machine Learning (Theory)

I enjoyed my conversations with Timnit when she was in the MSR-NYC lab, so her situation has been on my mind throughout NeurIPS. Piecing together what happened second-hand is always tricky, but Jeff Dean’s account and Timnit’s agree on a basic outline. Timnit and others wrote a paper for FAccT which was approved for submission by the normal internal review process, then later unapproved.

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Machine Learning Model – Serverless Deployment

Analytics Vidhya

Introduction Read this article on machine learning model deployment using serverless deployment. Serverless compute abstracts away provisioning, managing severs and configuring software, simplifying model. The post Machine Learning Model – Serverless Deployment appeared first on Analytics Vidhya.

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How Universities and Tech Vendors Can Collaborate for the Future of Work

Dataversity

Click to learn more about author Tom Clancy. Over the last six months, the pandemic has dramatically changed the way we live and work – forcing organizations to turn to digital tools to mitigate challenges posed by the suddenly remote working world. In fact, a new McKinsey study found that 85% of C-suite executives reported a significant acceleration […].

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Data-Driven EHR Systems Are Invaluable to the Patient Experience

Smart Data Collective

Big data is disrupting the healthcare sector in incredible ways. The market for data solutions in healthcare is expected to be worth $67.8 billion by 2025 , which is a remarkable 303% increase from 2017. While stories about the sudden growth of big data in healthcare make for great headlines, they don’t always delve into the details. There are a lot of different applications for big data in the healthcare sector.

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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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Data Governance: Starting Quickly with a Data Catalog

Alation

The post Data Governance: Starting Quickly with a Data Catalog appeared first on Alation.

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Feature Engineering Using Pandas for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview: Feature engineering is one of the most critical steps of the. The post Feature Engineering Using Pandas for Beginners appeared first on Analytics Vidhya.

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Understanding GPUs for Deep Learning

Dataversity

Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. Deep learning algorithms are based on neural networks, which commonly have millions of parameters that need to be calculated numerous times in […].

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How Can Blockchain Technology Improve VoIP Security?

Smart Data Collective

We have talked in depth about the benefits of big data with VoIP. One benefit that has been overlooked is the use of big data and blockchain to improve VoIP security. VoIP has become a leading choice for business communications. It offers savings of up to 90% on international calls, 75% on operational costs , 40% on local call bills, and 30% on phone bills – as reported by Finances Online.

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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 Every Snowflake User Needs Alation’s Data Catalog

Alation

The post Why Every Snowflake User Needs Alation’s Data Catalog appeared first on Alation.

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An Approach towards Neural Network based Image Clustering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction: Hi everyone, recently while participating in a Deep Learning competition, I. The post An Approach towards Neural Network based Image Clustering appeared first on Analytics Vidhya.

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Do Fines Motivate Data Governance? Do the Math!

Dataversity

Click to learn more about co-author John Ladley. Click to learn more about co-author Thomas Redman. It’s hubris to think that the way we see things is everything there is.” — Lisa Randall Recently, Citi Group was fined $400 million by the Office of the Comptroller of the Currency (OCC) “… related to deficiencies in […]. The post Do Fines Motivate Data Governance?

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Big Data Proves Invaluable to Retail Supply Chain Management

Smart Data Collective

Retailers are struggling to keep up with a growing demand for online purchases. They have found that the pandemic has completely upended their business models, as customers shift towards online commerce. This has driven many companies to find more innovative ecommerce marketing models that rely on big data. As such, retailers have an even tougher job of keeping on top of supply and demand.

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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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The Business Case for a Common Language – Not “If,” but “What and When?”

The Data Administration Newsletter

Weinberg’s Second Law: If builders built buildings the way programmers wrote programs, then the first woodpecker that came along would destroy civilization.[1] Introduction Opportunity While most people don’t think about it very often, common language is essential to day-in, day-out commerce. Companies and others[2] employ standards to ensure that a meter is the same length world-wide, calendars ensure […].

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Top Female AI Influencers in 2020 Who Rocked the Data Science World!

Analytics Vidhya

Overview Have a look at the list of Top 11 Female AI influencers of 2020. We have attached their respective social media handles so. The post Top Female AI Influencers in 2020 Who Rocked the Data Science World! appeared first on Analytics Vidhya.

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An Introduction to Metadata Management

Dataversity

Click to learn more about author Sowmya Tejha Kandregula. According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […]. The post An Introduction to Metadata Management appeared first on DATAVERSITY.

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CSAT KPIs: Measuring What Customers Really Think

Smart Data Collective

Customer satisfaction (CSAT) metrics are a powerful tool for businesses, but despite the way we talk about it, satisfaction isn’t something you can easily measure. Instead, we typically measure satisfaction by proxy, based on answers to more easily quantifiable questions – and though there are companies that do try to measure satisfaction directly, they’re less likely to be collecting actionable data.

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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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Data’s Gender Gap: How to Address Data’s Gender Gap

The Data Administration Newsletter

In past months, we’ve looked at how our data gathering and analyzing processes skew our cars, medical systems, and many more things to work primarily for men. Following all of this talk about data’s gender gap, what can we do to begin righting its wrongs? There is no one-stop easy answer, rather a laundry list […].

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Statistics for Beginners: Power of “Power Analysis”

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction How much data is enough to state statistical significance? In other. The post Statistics for Beginners: Power of “Power Analysis” appeared first on Analytics Vidhya.

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The Tribal Knowledge Problem

Alation

The post The Tribal Knowledge Problem appeared first on Alation.

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Benevolence of Assistive AI in Decreasing Natural Disaster Damage

Smart Data Collective

A few years ago, we talked about the benefits of using AI and big data in disaster relief. We have recently seen how important these applications are, as the damage of natural disasters is worse than ever. Mother Nature has been busier than ever this year, with natural disasters adding to the stress of the COVID-19 pandemic. A number of hurricanes have wreaked havoc on the Gulf Coast, and wildfires recently devastated the West Coast.

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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.