June, 2021

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All you need to know about Convolutional Neural Networks!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Table of Contents: What is CNN, Why is it important Biological. The post All you need to know about Convolutional Neural Networks! appeared first on Analytics Vidhya.

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The Future of the Chief Data Officer Role

Dataconomy

What’s next for the Chief Data Officer role? How can CDOs navigate disruption, bring business value to their organizations, and, ultimately, get an invitation to the board of directors?

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Seeing How Much We Ate Over the Years

FlowingData

How long will chicken reign supreme? Who wins between lemon and lime? Is nonfat ice cream really ice cream? Does grapefruit ever make a comeback? Find out in these charts. Read More.

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Leveraging AI-Driven Latent Semantic Indexing in Your Online Strategy

Smart Data Collective

Artificial intelligence can be very important for online marketing. A growing number of marketing professionals are finding new ways to utilize AI to expand their reach. One of the most important ways that marketers can benefit from AI is with search engine marketing. It is important to understand the role that AI is playing with new search engine algorithms.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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2021 Tableau Ambassador nominations and applications now open

Tableau

Britt Staniar. Senior Community Program Manager, Recognition Programs. Ateken Abla. June 15, 2021 - 9:28pm. June 30, 2021. Drumroll, please: Nominations and applications for the 2021 Tableau Ambassador Program are now open! We’ve curated all you need to know about the program, including what ambassadors do, community feedback and program changes, and how to nominate or apply.

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Improve Data Governance with These Data Modeling Tips

The Data Administration Newsletter

Data Governance describes the practices and processes organizations use to manage the access, use, quality and security of an organizations data assets. The data-driven business era has seen a rapid rise in the value of organization’s data resources. This has led to greater interest in leveraging Data Governance to ensure that best practices are followed […].

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Why data privacy by design is essential for getting ahead of the game

Dataconomy

The EU’s GDPR renewed the data industry’s focus on user privacy, but new regulations are, in fact, a staple of the ebbing and flowing digital landscape. Although businesses are seeking new processes in response to current privacy laws, it pays more to stay ahead of the curve. Changing regulations are.

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Billionaire tax rates

FlowingData

ProPublica anonymously obtained billionaires’ tax returns. Combining the data with Forbes’ billionaire wealth estimates , ProPublica calculated a “true tax rate” for America’s 25 richest people: The results are stark. According to Forbes, those 25 people saw their worth rise a collective $401 billion from 2014 to 2018. They paid a total of $13.6 billion in federal income taxes in those five years, the IRS data shows.

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Data Driven Links Between Workplace Productivity and Screening Checks

Smart Data Collective

Data-driven organizations are looking for new ways to use data technology to improve their operations. Unfortunately, they don’t always look at every opportunity to leverage it. Pre-employment background checks are not meant as a burden for the HR department, and they’re an effective tool to increase productivity and profits. One bad hire can cost a company quite a lot.

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How to deploy Tableau Server on Linux in a Docker container

Tableau

Bernhard Damberger. Product Management Senior Manager. Spencer Czapiewski. June 17, 2021 - 2:07am. June 18, 2021. We are excited to announce that with the release of Tableau 2021.2, you can now deploy and run Tableau Server for Linux using Docker containers and Kubernetes! This unlocks a new and streamlined way to deploy and manage Tableau Server in the cloud and when embedded in applications, as well as introduces efficiencies to testing Tableau Server.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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First Rule of Data Storytelling

The Data Administration Newsletter

Bedtime stories are as good as the problem they solve, every child will tell you that. Our children’s capacity to distinguish a good story from a bad one is not learned, but hardwired from birth. Storytellers and parents know this very well. It is just natural: humans have been telling stories for thousands of years, […].

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Exploring Mito: Automatic Python Code for SpreadSheet Operations

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Spreadsheets or Excel is the foremost and most adaptive way. The post Exploring Mito: Automatic Python Code for SpreadSheet Operations appeared first on Analytics Vidhya.

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Calling All Coders: Bridging the Blockchain Talent Gap

Dataconomy

Last week, Dataconomy’s Stewart Rogers served as master of ceremonies for a CogX Open Web Forum panel (curated by Fabric Ventures) I participated in along with Muneeb Ali (Stacks) and Josh Tobkin (Supra-Oracles). We were grappling with the question of how we inspire best-in-breed technical stars to join Open Web.

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Where chess pieces are most often captured

FlowingData

Reddit user desfirsit made heatmaps to show where on the chess board pieces are usually captured. The top two rows are for black pieces, and the bottom row is for white pieces. I’m no chess player, but this seems to look right? The frequency of captures appears to agree with movement patterns. Although I’m surprised that the queen, despite having the most freedom of movement, is often captured in the same place.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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How Insurers Evaluate Data and Incorporate it Into their Business Model

Smart Data Collective

Many companies have been heavily impacted by big data. One of the industries most affected by data technology has been the insurance sector. In order to appreciate the role of big data in insurance, it is necessary to look at its historical context. The insurance industry is one of the oldest in the world , and is credited for having been the catalyst for the financial system as we know it.

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Reflecting on a year of partnership to advance data for racial justice

Tableau

Neal Myrick. Global Head of the Tableau Foundation. Kristin Adderson. July 1, 2021 - 1:48am. July 6, 2021. One year ago, Tableau Foundation launched our Racial Justice Data Initiative out of a core belief that data can and should play a transformative role in the fight for racial equity and justice in the United States. We have forged new partnerships and deepened existing relationships with organizations committed to using data to raise awareness of inequities, point to solutions, and advocate

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How to Plan a Threat Hunt: Using Log Analytics to Manage Data in Depth

Dataversity

Click to learn more about author Thomas Hazel. Security analysts have long been challenged to keep up with growing volumes of increasingly sophisticated cyberattacks, but their struggles have recently grown more acute. Only 46% of security operations leaders are satisfied with their team’s ability to detect threats, and 82% of decision-makers report that their responses to threats […].

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Building a Convolutional Neural Network Using TensorFlow – Keras

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain Convolutional Neural Network and how. The post Building a Convolutional Neural Network Using TensorFlow – Keras appeared first on Analytics Vidhya.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Data Control Platforms Leverage Machine Learning & AI

Dataconomy

This article was originally published on Grit Daily and is reproduced with permission. The financial crisis of 2007 – 2008 resulted in marked changes to the institutional financial sector landscape. Weaknesses were brought to light and financial institutions were forced to reevaluate how they were managing data and restructure as.

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Colors of Bob Ross explored

FlowingData

Connor Rothschild charted all the colors Bob Ross used in The Joy of Painting : Most commonly, paintings have 12 colors. Of the 403 pieces in The Joy of Painting , 100 used 12 colors. The peak is concentrated around 12, meaning most of Ross’ paintings used somewhere in the range of 7-13 colors; very rarely did they venture outside of that range.

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The Impact of Digital AI Advances on The New Workplace

Smart Data Collective

Artificial intelligence is the pillar of the new digital technology landscape. Since a growing number of companies are relying on digital technology for a variety of purposes, the impact this will have will be significant. There are a number of indicators that AI is going to be even more important in the near future. The role of the pandemic on the modern workplace cannot be overstated.

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Bridging the data literacy gap between academia and the workforce

Tableau

Sue Kraemer. Curriculum Development Manager, Tableau. Kristin Adderson. June 16, 2021 - 11:07pm. June 17, 2021. Students who master data skills will have an advantage in their future careers. Enterprises are increasingly becoming data-driven—and requiring data literacy skills for employees in every part of the organization. To meet this demand, academic institutions are now asked to prepare students with these skills as they enter the workforce.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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How to Support Identity Governance with AI

Dataversity

Click to learn more about author Jackson Shaw. The software industry has hyped up the use of artificial intelligence (AI) for years, and security – especially the identity governance and administration (IGA) sector – is no exception. As such, the question then becomes not whether a software is AI-enabled, but rather, what value is it really providing […].

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Plotting Visualizations Out of Pandas DataFrames

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Plotting is essentially one of the most important steps in. The post Plotting Visualizations Out of Pandas DataFrames appeared first on Analytics Vidhya.

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Uncommon machine learning examples that challenge what you know

Dataconomy

Machine learning (ML) is how a system learns and adapts its processes from the patterns found in large amounts of data. When we think of machine learning, some prominent examples come to mind. For instance, the way product recommendations on Amazon are eerily similar to Google searches you’ve done. The.

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India vaccine procurement compared to other countries

FlowingData

Prasanta Kumar Dutta and Manas Mishra reporting for Reuters on the slow rollout of Covid-19 vaccinations in India : Compared to many Western countries, India was late in procuring vaccines. Modi’s government placed the first advance order for an unapproved vaccine only this month, after being criticised for being slow. Countries including the United States and Britain signed orders last year.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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How Should Data Drive Your Email Marketing Strategy In 2021?

Smart Data Collective

A data-driven email marketing strategy is paramount for businesses to survive in such a competitive landscape. After all, all this information helps you drive sales and ensure that you are targeting the right products/services to the right people. Surveys have shown that 73% of marketing professionals believe email marketing is essential to their organization’s success.

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Humans and AI: AI and Individuality

DataRobot

I started a family late in life. I have a three-year-old son and just a couple of months ago, celebrated my fifth wedding anniversary. There are pluses and minuses to starting late. My lifestyle choices don’t neatly fit into customer categories that marketers have been using for decades. Some marketing campaigns assume that if I’m a fifty-something man purchasing a product for a child, I must be a grandfather.

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A Guide to Predictive Data Analytics (Making Decisions for the Future)

Dataversity

Click to learn more about author Ram Tavva. Everyone wants to succeed in their business, but some might choose an unwise approach toward it, while others might mess with the wrong set of data. A lousy hit wastes a lot of time and energy predicting the future and understanding the newest trends. But those problems […]. The post A Guide to Predictive Data Analytics (Making Decisions for the Future) appeared first on DATAVERSITY.

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How to Detect COVID-19 Cough From Mel Spectrogram Using Convolutional Neural Network

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon COVID-19 COVID-19 (coronavirus disease 2019) is a disease that causes respiratory. The post How to Detect COVID-19 Cough From Mel Spectrogram Using Convolutional Neural Network appeared first on Analytics Vidhya.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.