February, 2021

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A Beginner’s Guide To Seaborn: The Simplest Way to Learn

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction A step-by-step guide to getting started with Seaborn! If matplotlib. The post A Beginner’s Guide To Seaborn: The Simplest Way to Learn appeared first on Analytics Vidhya.

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How You Can Expedite Your Venture With machine learning

Dataconomy

Machine learning (ML) is a definite branch of artificial intelligence (AI) that brings together significant insights to solve complex and data-rich business problems by means of algorithms. ML understands the past data that is usually in a raw form to envisage the future outcome. It is gaining more and more.

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Technologies that Could See Significant Growth

The Data Administration Newsletter

With the new year events well behind us, we’re steadily focused on moving forward in 2021. While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. Given that, let’s consider what I believe will be some […].

Big Data 145
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7 Ways Small Businesses Use Data Analytics for Expense Tracking

Smart Data Collective

Companies are discovering the countless benefits of using big data as they strive to keep their operations lean. Big data technology has made it a lot easier to maintain a decent profit margin as they try to keep their heads above water during a horrific economic downturn. One of the most important benefits of using big data is with expense tracking.

Analytics 141
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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The Role of Data in Overcoming Misinformation and Building Trust

Tableau

Andrew Beers. Chief Technology Officer, Tableau. Kristin Adderson. February 9, 2021 - 6:18pm. February 9, 2021. The Future of Data & Analytics is a new series by Tableau CTO Andrew Beers, where he connects with industry leaders, researchers, and innovators to discuss the biggest questions shaping the future of data and analytics. The past year has been rife with significant challenges, and there are many questions about how to best move forward.

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How to Write Better with The Why, What, How Framework

Eugene Yan

Three documents I write (one-pager, design doc, after-action review) and how I structure them.

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How to build better CX with human-intelligence-powered AI chatbots

Dataconomy

Whether your current experience with chatbots allows you to believe me or not, better customer experiences are possible with human-intelligence-powered AI chatbots. Research by Gartner indicates that within a few years from now, 89% of businesses will compete mostly on customer experience versus 36% four years ago. That means that.

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How AI Helps Banks Identify Cross-Selling and Upselling Opportunities

DataRobot

Banks regularly create campaigns to offer new products to their customers. According to market research, it’s easier to sell a product to an existing customer than to sell a product to a new, qualified prospect. In today’s marketplace, banks provide a variety of deposit, lending, and investment products to individuals and businesses, but a good proportion of current customers might only use one or two of them.

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Big Data Analytics Has Potential to Massively Disrupt the Stock Market

Smart Data Collective

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 billion by 2026. However, the impact of big data on the stock market is likely to be even greater. Automated trading software is fast changing the approach a lot of individuals take to investing.

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Introducing the 2021 Tableau Zen Masters

Tableau

Andrew Grinaker. Senior Manager, Community Programs & Engagement at Tableau. Kristin Adderson. February 25, 2021 - 3:53pm. February 25, 2021. It’s our privilege to announce the 2021 Tableau Zen Masters. We’ve selected 14 new community leaders who represent the tenets of the Zen program: teacher, master, and collaborator. Following a decision to invite all 2020 Zen Masters to return for another year as we addressed the needs of our community, these new leaders join the existing 29 for Tableau’s l

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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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Feature Stores: A Hierarchy of Needs

Eugene Yan

Access, serving, integrity, convenience, autopilot; use what you need.

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Key Python Packages for Data Science

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Hi! Young Data Science enthusiast, Let’s understand key packages for. The post Key Python Packages for Data Science appeared first on Analytics Vidhya.

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A new workshop shows how data science can be for decision-makers too

Dataconomy

When we think of data science, we rarely think beyond those people with the technical ability, knowledge, training, and qualifications necessary for the job. But decision makers need to be involved in data science too. Whether you need to understand data science, know how to approach solution providers, or be.

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Alation 2021.1: Getting users to the data they need, faster

Alation

In the newest release, Alation 2021.1, Alation takes big steps to further accelerate onboarding and adoption, expanding the catalog to welcome more classes of users, and lowering their barrier to entry with more organized information. In 2021.1, Alation increases search relevancy with data domains, adds new data governance capabilities, and speeds up time-to-insight with an Open Connector Framework SDK.

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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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Big Data Insights Show Surprising Impact of Diversity on Likelihood of Successful Ransomware Attacks

Smart Data Collective

Big data has shed some important insights on a number of facets of modern organizational functions. One of the areas that has been shaped by big data is cybersecurity. We have talked about the importance of using big data to strengthen cybersecurity by creating more robust defenses. However, there are also less direct reasons that big data can be important for stopping cyberattacks.

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Analytics extensions are now available in Tableau Online

Tableau

Nathan Mannheimer. Product Manager, Tableau. Kristin Adderson. February 1, 2021 - 6:58pm. February 1, 2021. First thing’s first: I am thrilled to announce that Tableau’s analytics extensions are now available in Tableau Online! Starting with R integration in Tableau 8.3, analytics extensions have allowed Tableau users to dynamically bring sophisticated analysis and integrations into their visualizations.

Tableau 115
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How Synthetic Data Powers Real-World AI Applications

Dataversity

Click to learn more about author Ashok Sharma. Machine learning (ML) algorithms are everywhere these days. AI applications aren’t something that will be present in the future. They’re already here and have begun making an impact on our lives. AI usage is currently in an embryonic stage and faces significant challenges. The biggest challenge surrounds the […].

AI 98
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ML Model Deployment with Webhosting frameworks

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction With the motivation of award-winning from Analytics Vidhya Blogathon3 continuing. The post ML Model Deployment with Webhosting frameworks 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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Data science certifications that can give you an edge

Dataconomy

Data science is one of the hottest jobs in IT and one of the best paid too. And while it is essential to have the right academic background, it can also be crucial to back those up with the proper certifications. Certifications are a great way to give you an.

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Running Code and Failing Models

DataRobot

Machine learning is a glass cannon. When used correctly, it can be a truly transformative technology, but just a small oversight can cause it to become misleading and even actively harmful. Even if all the code runs and the model seems to be spitting out reasonable answers, it’s possible for a model to encode fundamental data science mistakes that invalidate its results.

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6 Big Data Mistakes You Must Avoid At All Costs

Smart Data Collective

Marketers around the world are embracing data-driven marketing to drive better results from their campaigns. However, while doing so, you need to work with a lot of data and this could lead to some big data mistakes. But why use data-driven marketing in the first place? When you collect data about your audience and campaigns, you’ll be better placed to understand what works for them and what doesn’t.

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Announcing the Tableau Community Hub—A new home to inspire and elevate your data journey

Tableau

Stephanie Richardson. Vice President, Tableau Community. Kristin Adderson. February 2, 2021 - 2:55am. February 4, 2021. To the Tableau Community, I’m coming up on the one year mark of moving into the amazing role of leading the Community team at Tableau, and there is one thing I know now more than ever: the Tableau Community is special. It’s unlike anything else I’ve seen, and that’s because of all of you. .

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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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The Most Important Cybersecurity Trends to Watch This Year

Dataversity

Click to learn more about author Jackson Shaw. With the global COVID-19 pandemic altering the way enterprise organizations do business and their employees work, it’s been a particularly challenging year for IT professionals. In addition to the complexities of migrating entire organizations to working remotely, it’s also their responsibility to ensure the new tools employees […].

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Multicollinearity: Problem, Detection and Solution

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. What is Multicollinearity? One of the key assumptions for a regression-based. The post Multicollinearity: Problem, Detection and Solution appeared first on Analytics Vidhya.

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Overcoming 7 AI Challenges in 2021

Dataconomy

AI has become an indispensable resource for many businesses in 2020 amid the challenges of COVID-19. Despite economic stress, 61% of high-performing companies invested more in AI in 2020. As recovery from pandemic losses gets underway, more may turn to AI to strengthen their digital transformation. Increased investments in AI.

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Data Science on Azure

Data Science 101

Learn about Building Data Science Solutions on Azure. Join us for a discussion on data science on Azure. I was lucky enough to get Priyanshi Singh and Julian Soh to join me for a conversation about their newest book and their data science careers. This should be a fun conversation and highly informative. Please feel free to bring your questions, even the technical questions.

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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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New Advances in Graphic Design Software Are Predicated on Machine Learning Algorithms

Smart Data Collective

It wasn’t long ago that we wrote about how big data was setting new standards in the field of web design. More web developers are going to rely heavily on data-driven technology to improve the quality of their work in the near future. The way we do things digitally is only getting more advanced. The more we learn about technology, the more we want to build it and use it across different platforms.

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Bringing AI predictions to Tableau with Einstein Discovery

Tableau

Bobby Brill. Product Management Director, Tableau CRM. Spencer Czapiewski. February 23, 2021 - 3:55am. March 23, 2021. With the upcoming Tableau 2021.1 release, we’re delivering the first integration of Salesforce’s artificial intelligence (AI) and machine learning (ML) capabilities in Tableau. This introduces an exciting new class of AI-powered analytics: Tableau Business Science.

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Increasing the Business Impact of Data Management Using Force-Field Analysis

Dataversity

Click to learn more about co-author John Ladley. Click to learn more about co-author Thomas Redman. This article introduces Force-Field Analysis (FFA) [1], a tool that one of us (Tom) has used for many years to help understand and summarize the impacts of multiple factors in the data space. The goal is to equip readers […]. The post Increasing the Business Impact of Data Management Using Force-Field Analysis appeared first on DATAVERSITY.

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Brief Introduction to the Rising Field of Decision Intelligence!

Analytics Vidhya

ArticleVideos Overview Decision Intelligence is still an emerging field though it has been in the market for some time Understand what is a decision. The post Brief Introduction to the Rising Field of Decision Intelligence! appeared first on Analytics Vidhya.

Analytics 391
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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.