March, 2021

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Why Are Generative Adversarial Networks(GANs) So Famous And How Will GANs Be In The Future?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. What are GENERATIVE ADVERESIAL NETWORKS and what are GANs used. The post Why Are Generative Adversarial Networks(GANs) So Famous And How Will GANs Be In The Future? appeared first on Analytics Vidhya.

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4 Industries in Which Synthetic Data Has Increased the Impact of AI

Dataconomy

Step by step, AI has been permeating virtually every application we use. From consumer-facing interactions to more advanced predictive B2B analytics, AI and ML algorithms consume increasing amounts of data. While thousands of companies have begun collecting data in vast quantities, the problem is that these data take a while to clean.

AI 254
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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

Beware the hype about AI systems. Although AI is powerful and generates trillions of dollars of economic value across the world, what you see in science fiction movies remains pure fiction. In this blog post, I will focus on the use of the word autonomous , the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers.

AI 145
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Mini Guide to Utilizing Data Analytics in Email Marketing

Smart Data Collective

Data analytics has been a very important aspect of modern marketing strategies. A growing number of companies are using data analytics to reach customers through virtually every channel, including email. Digital marketing is getting more competitive with each passing day, but small businesses can still rely on a time-tested channel: email marketing.

Analytics 143
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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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Announcing Tableau’s first DataDev Day

Tableau

Jo Peach. Kristin Adderson. March 7, 2021 - 6:40pm. March 7, 2021. From day one, developers have been an important part of the Tableau community. Our DataDevs use their understanding of Tableau and coding skills to build and fine-tune Tableau for their organizations. They also strengthen our platform by building extensions or Web Data Connectors, embed Tableau into solutions that empower more users with easy-access data and analysis, and do even more.

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Data Gravity and Cloud Computing

The Data Administration Newsletter

Cloud computing is growing rapidly as a deployment platform for IT infrastructure because it can offer significant benefits. But cloud computing is not always the answer, nor will it replace all of our on-prem computing systems anytime soon—no matter what the pundits are saying. It is true, though, that moving some types of workload into […].

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The best books and podcasts on data science and AI for 2021

Dataconomy

Data science and AI are among the best (and highest paying) careers in the world right now, so it makes sense to keep increasing your knowledge, and learning from the best. But doing that in an age of information overload isn’t easy. One way to stay ahead of the game.

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Choosing Problems in Data Science and Machine Learning

Eugene Yan

Short vs. long-term gain, incremental vs. disruptive innovation, and resume-driven development.

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Fleet Management and Big Data: Points to Consider

Smart Data Collective

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data. And I do not mean large amounts of information per se, but rather data that is processed at high speed and has a strong variability.

Big Data 142
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A data-driven path toward gender equality

Tableau

Ashley Monson. Social Impact Program Manager, Tableau. Kristin Adderson. March 15, 2021 - 3:44pm. March 15, 2021. By now, we’ve seen from data that exists across the world, women have been harder-hit economically by the COVID-19 pandemic than men. In the US, 2.2 million fewer women were in the workforce in September 2020 than the year before. The force behind this data essentially boils down to the fact that, before the pandemic, women were already doing disproportionately more unpaid labor.

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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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Data is a Crucial Part of Any Marketing Strategy

The Data Administration Newsletter

It’s estimated that individuals in the US are exposed to between 4000 and 10,000 advertisements per day. Despite all that input, people generally retain only a maximum of 3 messages. If you’re a marketer, you know how challenging it is to craft the perfect message for your audience – ensuring it is both authentic and personalized. In […].

Big Data 105
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Introduction to Batch Normalization

Analytics Vidhya

ArticleVideo Book Objective Learn how to improve the neural network with the process of Batch Normalization. Understand the advantages batch normalization offers. Introduction. The post Introduction to Batch Normalization appeared first on Analytics Vidhya.

Analytics 400
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How AI-Driven Analytics Help Marketers Manage and Understand Mass Amounts of Data

Dataconomy

To stay competitive in today’s world, organizations must have their fingers on their customers’ pulse at all times. Fortunately, increasing amounts of data about consumer preferences and behaviors allow marketing teams to identify the evolution of markets and customer demands. Effectively using big data for marketing efforts is now far.

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Best Practices for Supply Chain Analytics in the Post COVID-19 Era

Dataversity

Click to learn more about author Ashok Sharma. There are few crises in world history that have affected the supply chain like COVID-19. The pandemic has caused unprecedented stress and brought an insane level of scrutiny. Business leaders need to think differently and take appropriate measures to streamline their supply chain operations, using data as their […].

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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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8 Revolutionary Applications Examples of Machine Learning in Real-Life

Smart Data Collective

Machine learning (ML) is an innovative tool that advances technology in every industry around the world. From the most subtle advances, like Netflix recommendations, to life-saving medical diagnostics or even writing content , machine learning facilitates it all. Due to its constant learning and evolution, the algorithms are able to adapt based on success and failure.

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Best of the Tableau Web: February 2021

Tableau

Andy Cotgreave. Technical Evangelist Director, Tableau. Kristin Adderson. March 6, 2021 - 4:35pm. March 6, 2021. Hello everybody! It’s time for another monthly look at the most exciting Tableau-related blogs and videos produced by our community in the last month. February was a special month, because we also launched our new Tableau Community Hub —a space dedicated to elevating and celebrating the people, programs, and inspirational work of the community.

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A Data Governance Self-Assessment Test

The Data Administration Newsletter

The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your Data Governance program. The test will help you to focus on the things that are meaningful to your organization while honestly assessing how well you are addressing your organization’s needs. Take the […].

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Neural Network 101 – Ultimate Guide for Starters

Analytics Vidhya

ArticleVideo Book Date: 03-July-2040 Mission: Project Aries Destination: Mars Date of arrival to Mars: 18-Feb-2041 Landing Location: Jezero Crater, Mars “Imagine you are on. The post Neural Network 101 – Ultimate Guide for Starters 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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Preventing Bias in Predictive Analytics

Dataconomy

At first thought, predictive analytics engines seem like an ideal way to remove human bias from decision-making. After all, these models draw conclusions from data, not stereotypes, so they should be objective in theory. While this seems reasonable at first, researchers discovered that predictive analytics could indeed carry human biases.

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Dealing with Database End-of-Life Issues: What Approach Should You Take?

Dataversity

Click to learn more about author Matt Yonkovit. Databases play a critical role in our applications – after all, no one ever talks about their services using less data today. However, like applications, databases require ongoing management and regular updates. At some point, the database version you use will reach its End of Life (EOL). […]. The post Dealing with Database End-of-Life Issues: What Approach Should You Take?

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Azure Cloud Is Transforming the Way We Run Our Businesses in 2021

Smart Data Collective

Utilizing cloud services is no longer an option for businesses— it is a necessity. In 2021, cloud computing infrastructure will dominate the IT space and take over business cloud services. However, it is important to understand the right cloud computing practices to follow. The growth experienced by Microsoft Azure is tremendous compared to other providers of cloud services— a whopping 154% YOY growth rate to be specific.

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Tableau Data Repository—use third-party data without the hassle

Tableau

Henning Koollenbroich. Product management senior manager, Tableau. Kristin Adderson. March 3, 2021 - 2:20pm. March 3, 2021. At Tableau, we believe in the power of data to make informed decisions. We have made self-service visual analytics ubiquitous, and we make it easy to analyze your data, wherever it may be. However, when it comes to using data from external sources, the potential often remains untapped: Important context is missing from your analysis and key insights remain undiscovered.

Tableau 106
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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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Data is Risky Business: The Next Normal

The Data Administration Newsletter

Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would otherwise have taken many years to achieve. Small businesses pivoted to doing business online in a way that they might […].

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Data Science 101: Introduction to Cost Function

Analytics Vidhya

ArticleVideo Book Introduction While dealing with Linear Regression we can have multiple lines for different values of slopes and intercepts. But the main question. The post Data Science 101: Introduction to Cost Function appeared first on Analytics Vidhya.

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8 inspiring women in AI leading advancements in the field

Dataconomy

On March 8 every year, International Women’s Day is a global day celebrating women’s social, economic, cultural, and political achievements, and that – of course – includes women in AI. The tech industry and the AI sector face an ongoing and constant diversity and equality crisis. In a study from.

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Data Privacy Laws Are Evolving: Expert Advice on Compliance

Dataversity

Click here to learn more about John Noltensmeyer. Virginia’s governor recently signed the Consumer Data Protection Act (CDPA), only the second comprehensive data privacy law in the United States after the California Consumer Privacy Act of 2018 (CCPA). The passage of this law means that businesses now have two new state-specific regulations to prepare for […].

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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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Big Data Trends That Are Disrupting Management Maintenance

Smart Data Collective

Big data is leading to some major breakthroughs in the modern workplace. One study from NewVantage found that 97% of respondents said that their company was investing heavily in big data and AI. Maintenance management’s primary focus has always been maximizing the quality, effectiveness, and quality of equipment in an organization. And this is usually at the lowest possible costs in terms of material and machinery.

Big Data 136
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The value of data collaboration

Tableau

Francis X. Campion, MD, FACP. Principal Lead in Digital Health, MITRE Corporation. Kristin Adderson. March 11, 2021 - 3:22pm. March 11, 2021. “Going forward, I expect that the health delivery system and public health systems will be more closely tied together by rapid cycle data initiatives on a grand scale.” - Francis X. Campion. Recently we asked Amanda Makulec, Rabah Kamal, Francis X.

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GRAMMY Predictions 2021: Tuning in to the Song and Record of the Year

DataRobot

This blog is meant to be a fun take on predicting Song and Record of the Year for the 63rd Annual GRAMMY Awards. Events in the entertainment industry look a little different this year, with the GRAMMY’s being a prime example. After a postponement due to rising COVID-19 numbers in the Los Angeles area, Sunday, March 14th will mark the 63rd GRAMMY awards.

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Everything you need to know about Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introductory Artificial Intelligence is purely math and scientific exercise but. The post Everything you need to know about Machine Learning 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.