January, 2021

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A Look at Machine Learning System Design

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction As ML applications are maturing over time and becoming an. The post A Look at Machine Learning System Design appeared first on Analytics Vidhya.

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AI in Analytics: Powering the Future of Data Analytics

Dataconomy

Augmented analytics: the combination of AI and analytics is the latest innovation in data analytics. For organizations, data analysis has evolved from hiring “unicorn” data scientists – to having smart applications that provide actionable insights for decision-making in just a few clicks, thanks to AI. Augmenting by definition means making. The post AI in Analytics: Powering the Future of Data Analytics appeared first on Dataconomy.

Analytics 254
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Big Data Plays Key Role in Helping Satellites Get Launched into Orbit

Smart Data Collective

Big data is changing the space race in ways that original founders at NASA and other global space exploration organizations never foresaw decades ago. Miriam Kramer, an author with Axios, talked about the growing number of space companies that are finding new ways to utilize big data. They hope new advances in data technology will help them connect with new markets.

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Developer Platform news: January 2021

Tableau

Geraldine Zanolli. Developer Evangelist. Kristin Adderson. January 27, 2021 - 2:58am. January 27, 2021. Each month, our Developer Platform team pulls back the curtain on recent work to support our developer community during the monthly Tableau Developer Program Sprint Demos. As we start a new year, we’re excited to share important updates, including: Analytics extensions on Tableau Online, Tableau Server in a container, the new file format for Hyper API, and In-Product Extensions Gallery.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Pillars of Data Integrity: The New Business Imperative

Dataversity

Click to learn more about author Amy O’Connor. Innovations in data-driven intelligence continue to power transformation initiatives for modern businesses. While these innovations improve how we collect, store, manipulate, and analyze data, that is not enough to fully leverage data. Being accurate, consistent, and contextual is crucial for unleashing the data’s full potential.

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Data Management & Data Stories with Scott Taylor

Data Science 101

Data Management with Scott Taylor. Scott, better known as The Data Whisperer , has spent over two decades solving DATA problems. Scott is an expert in Data Management and storytelling. He recently wrote a book, Telling Your Data Story, to help companies do just that. He is also a live streamer, video creator, podcaster, and entertaining person. Connect with Scott Taylor.

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AI and data science predictions for 2021

Dataconomy

Artificial intelligence saw rapid growth in 2020. The global pandemic and the resulting digital transformation forced upon companies and individuals as we moved from offices to homes accelerated AI usage and development. And it seems that this pace will not slow down in 2021. Here are a few predictions on. The post AI and data science predictions for 2021 appeared first on Dataconomy.

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Customer Data Analytics is Critical to the Future of Account-Based Marketing

Smart Data Collective

We have talked at length about the importance of data analytics in the field of marketing. Data analytics offers many useful insights for companies striving to boost their market share. One of the best applications of data analytics is through enhanced account-based marketing. There are a lot of ways to use big data to get a better understanding of a target customer group, which is a vital part of any marketing strategy.

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Announcing new Tableau Data Literacy curriculum for higher education

Tableau

Sue Kraemer. Tableau Academic Programs Instructional Designer. Kristin Adderson. January 8, 2021 - 3:49pm. January 8, 2021. Bridge the data literacy gap for students in academia. Working with data is a necessity for most jobs, and analytical skills can be a huge differentiator for success across all kinds of work—whether corporate, nonprofit, or academic.

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Data Analytics Will Power a Transformation of Supply Chains in the Post-Pandemic Environment

Dataversity

Click to learn more about author Vikas Mathur. COVID-19 exerted a disruptive impact on virtually every aspect of business across every sector — and supply chains were no exception. In a recent report, Deloitte said the pandemic might be “the black swan event that finally forces many companies, and entire industries, to rethink and transform […].

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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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Stress Free Goal Setting with Deb Eckerling

Data Science 101

Stress-free Goal Setting with Deb Eckerling. Debra Eckerling is a goal-setting expert. She offers coaching, workshops, and online support for people looking to achieve goals in any aspect of life. She has organized conferences, served as an editor for numerous publications, and authored 3 books. Deb joined to talk about goal setting and her latest book, Your Goal Guide.

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5 Python Packages Every Data Scientist Must Know

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction When it comes to productivity, the internet is flooded with. The post 5 Python Packages Every Data Scientist Must Know appeared first on Analytics Vidhya.

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How to get started in AI development

Dataconomy

Artificial intelligence is becoming crucial for businesses that want to compete and survive. In fact, if you’re not using AI in 2021, there’s a good chance you lose out to your competitors. Of course, that makes AI development a highly sought after career, as more companies need to hire skilled. The post How to get started in AI development appeared first on Dataconomy.

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How Machine Learning Enhances Momentum of Cryptocurrency Price Movements

Smart Data Collective

Cryptocurrencies have become very important in the modern economy. They have also created numerous opportunities for informed investors to create diversified portfolios and take advantage of a market for assets that provide an exceptional ROI. Machine learning technology has made cryptocurrency investing opportunities more lucrative than ever. The impact of machine learning on the market for bitcoin and other cryptocurrencies is multifaceted.

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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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Best of the Tableau Web: December

Tableau

Andy Cotgreave. Technical Evangelist Director, Tableau. Kristin Adderson. January 20, 2021 - 10:39pm. January 23, 2021. Happy New Year! Welcome to another year of reviewing the Best of the Tableau Web (BOTW). Can you believe we’re entering the 10th year of this blog series? I personally want to thank every person who shared a tip, detailed technique, analytics that inspired them, or some wacky piece of data art.

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Why Now for AI in Manufacturing?

Dataversity

Click to learn more about author Venkat Eswara. Technology always evolves faster than our ability to adapt. AI is becoming mainstream in the consumer and enterprise sectors. So, it’s not a question of if but when AI will become the norm in the manufacturing sector. In fact, it already is. On the one hand, the COVID-19 pandemic has heightened […].

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Storing Data in the Cloud

The Data Administration Newsletter

In the cloud-era, should you store your corporate data in Cosmos DB on Azure, Cloud Spanner on the Google Cloud Platform, or in the Amazon Quantum Ledger? The overwhelming number of options today for storing and managing data in the cloud makes it tough for database experts and architects to design adequate solutions. However, they […].

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9 Tips for a Seamless Transition to Data Science for Absolute Noobs!

Analytics Vidhya

ArticleVideos Overview The data science industry is growing exponentially It is important to have a clear understanding of the very basic questions before you. The post 9 Tips for a Seamless Transition to Data Science for Absolute Noobs! appeared first on Analytics Vidhya.

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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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Where Data Scientist Salaries are Headed in 2021

Dataconomy

For many years now, becoming a data scientist has been the goal for many. Billed as the hottest role of the 21st century, data scientists are among the highest paid in the IT industry and one of the most scarce right now. In fact, according to Glassdoor, the average salary. The post Where Data Scientist Salaries are Headed in 2021 appeared first on Dataconomy.

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Blockchain: The Fall of Traditional Centralized Systems in Business & Finance

Smart Data Collective

Blockchain is one of the most important technologies to shape the world. One of the biggest industries that has been affected has been finance. The market for blockchain technology in the financial sector is expected to reach over $3 billion by 2024. The question many experts are asking is: “what factors are driving the growth in blockchain in the financial industry?

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm. February 18, 2021. This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. Gartner has again recognized Tableau as a Leader—for our ninth consecutive year. . I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other.

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Four Ways Embedded BI Brings Productivity into Focus

Dataversity

Click to learn more about author Daniel Jebaraj. The purpose of any enterprise software application is to help businesses be more productive. And given the ever-growing number of applications of every stripe across every industry, you want the applications that you develop and sell to maximize the productivity of your customers. That’s the way to […].

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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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Starting a Data Career

Data Science 101

Starting a Data Career. If you are just starting a career in data, you will not want to miss this live interview. Join me as I speak with Henrique Senra from Simbiose Ventures to discuss the book, Getting Started with Data. The book was written out of a desire to provide a better future for low-income Brazilians. We will talk about. The story behind the book Tips for getting started with a data career Who the book is for Why now is a great time to learn data Henrique’s data journey Any que

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An Quick Overview of Data Science Universe

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. What is Data Science (DS)? Data Science is a blend of. The post An Quick Overview of Data Science Universe appeared first on Analytics Vidhya.

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5 new year’s resolutions to improve how organizations work with data in 2021

Dataconomy

Many people are breathing a sigh of relief that 2020 is finally over. I’m hopeful that on a global scale, 2021 can eventually help us move on from the pandemic and from political turmoil to shape kinder societies where economic interests and citizens’ wellbeing are in balance. Data is and. The post 5 new year’s resolutions to improve how organizations work with data in 2021 appeared first on Dataconomy.

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How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

If there’s one industry that had previously remained fairly untouched from the technological advancements, it is the sports domain. However, over time the sector is getting introduced with several new generation technologies intended to make it efficient and smart. We have recently seen a number of technological developments that have impacted sports.

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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.

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The Lifecycle of Data

The Data Administration Newsletter

Most data is not static. No, data has a life in which it changes, is used for perhaps multiple purposes, and gets moved all over the place. So, it makes sense to think about the lifecycle of your data at your organization. The accompanying diagram helps to demonstrate this lifecycle. Basically, there are three major […].

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Why Is It Such a Challenge to Integrate Security into DevOps?

Dataversity

Click to learn more about author Anastasios Arampatzis. DevOps is transforming how organizations develop software faster. DevOps utilizes agile methodologies to integrate and streamline the software development and operations process. The result is faster time to market and a more efficient development process. However, DevOps processes are challenging the way security integrates with fast development […].

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Ryan Swanstrom a Guest on #PirateBroadcast

Data Science 101

I am super excited to have been invited as a guest on another live show. The #PirateBroadcast with Russ Johns. It will be happening January 15, 2021 at 8:00am Central Time. I would love to have you stop by if you are available. I will be talking more about my latest project, The Example Show and what I am working on in 2021. Plus, I would love to hear your questions.

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GPT-3 THE NEXT BIG THING! Foundation of Future?

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Did you ever have a thought or a wish that. The post GPT-3 THE NEXT BIG THING! Foundation of Future? appeared first on Analytics Vidhya.

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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.