Sat.Feb 06, 2021 - Fri.Feb 12, 2021

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The Importance of Cleaning and Cleansing your Data

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction The concept of cleaning and cleansing spiritually, and hygienically are. The post The Importance of Cleaning and Cleansing your Data appeared first on Analytics Vidhya.

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How to Take Advantage of AI/ML Today

David Menninger's Analyst Perspectives

The industry is making huge strides with artificial intelligence (AI) and machine learning (ML). There is more data available to analyze. Analytics vendors have made it easier to build and deploy models, and AI/ML is being embedded into many types of applications. Organizations are realizing the value that AI/ML provides and there are now millions of professionals with AI or ML in their title or job description.

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RPA and IPA – Their Similarities are Different, but Their Rapid Growth Trajectories are the Same

Rocket-Powered Data Science

When I was growing up, friends at school would occasionally ask me if my older brother and I were twins. We were not, though we looked twin-like! As I grew tired of answering that question, one day I decided to give a more thoughtful answer to the question (beyond a simple “No”). I replied: “Yes, we are twins. We were born 20 months apart!” My response caused the questioner to pause and think about what I said, and perhaps reframe their own thinking.

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Explore The Power & Potential Of Professional Social Media Dashboards

datapine

Gathering data and information from one or multiple platforms and creating a comprehensive social media dashboard is equally important as creating the social content itself. Social media has become one of the most important channels to engage with potential audiences, and that’s not a surprise considering the power and potential of creating content to attract people, target the exact audience you need, and deliver value to your bottom line.

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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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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 To: Be A Good Employee, Be A Great Boss | #winningcareers

Occam's Razor

Like many of you, I am both an employee and a people leader. At different points of the day, sometimes from one minute to the next, I have to switch gears so that I can be fully present as both a good employee and a good people leader. This constant quest for excellence, from one email to the next, from one meeting to the next as context changes is… taxing.

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Why Artificial Intelligence May Not Offer the Business Value You Think

DataKitchen

The post Why Artificial Intelligence May Not Offer the Business Value You Think first appeared on DataKitchen.

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Isotonic Regression and the PAVA algorithm

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Isotonic Regression is one of those regression technique that is. The post Isotonic Regression and the PAVA algorithm appeared first on Analytics Vidhya.

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US, China, EU: How the Rise of AI Highlights Cultural Differences

Dataiku

Following OpenAI’s update of the latest staged release of GPT-2, it’s a good time to reflect on what the project means for the future of AI’s openness, but more broadly — and probably more importantly — for the future of regulation and openness in the field.

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Get More out Your CRM: Tips for Better Sales Forecasting

Jedox

The need to understand how to best manage the relationships a business has with its customers is not a new concept. Managing basic information such as who your customers are, where they are located, and what they want to buy was around long before the advent of desktop computers and the Internet. However, forecasting or predicting how much your customers want to buy or how well a business would perform in the future was much more difficult to achieve way back then.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Next Stop – Building a Data Pipeline from Edge to Insight

Cloudera

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology.

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Statistics 101: Beginners Guide to Continuous Probability Distributions

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction In the previous post, we have defined Probability Distributions and briefly. The post Statistics 101: Beginners Guide to Continuous Probability Distributions appeared first on Analytics Vidhya.

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Reinforcement Learning, Intuition, and Abductive Reasoning

Dataiku

Reinforcement learning is a technique largely used for training gaming AI — like making a computer win at Go or finish Super Mario Bros levels super fast. That's great, but to some extent, this use case isn’t very exciting or useful. Yet reinforcement learning is also the potential first step toward bringing intuition to AI in business contexts, filling the gap between abductive reasoning and inductive reasoning.

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Is Your Data Holding You Back Instead of Driving You Forward?

Teradata

Everyone knows that data is vital for success in retail. But without a clear data strategy, retailers often eat up resources fighting small-scale battles, whilst gradually losing the war.

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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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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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Kaggle Grandmaster Series – Exclusive Interview with Kaggle Notebooks Grandmaster Kostiantyn Isaienkov (#Rank 8)

Analytics Vidhya

ArticleVideos “I think the main challenge for a lot of beginner kagglers is to overcome their fear of failure and criticism”- Kostiantyn Isaienkov The. The post Kaggle Grandmaster Series – Exclusive Interview with Kaggle Notebooks Grandmaster Kostiantyn Isaienkov (#Rank 8) appeared first on Analytics Vidhya.

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Inside 2021 ML Trends: Human-in-the-Loop ML

Dataiku

In January, our Dataiku Lab team presented their annual findings for up-and-coming machine learning (ML) trends , based on the work they do in machine learning research. In this series, we're going to break up their key topics (trustworthy ML, human-in-the-loop ML, causality, and the connection between reinforcement learning and AutoML) so they're easy for you to digest as you aim to optimize your ML projects in 2021.

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Data – the Octane Accelerating Intelligent Connected Vehicles

Cloudera

The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03 billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

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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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What’s wrong with the growth mindset? Introducing the discovery mindset.

Jen Stirrup

People like Satya Nadella talk about a ‘growth mindset’ often. So, as a former Microsoft MVP for almost ten years before I handed the Award back , I used to be in many conversations where ‘growth mindset’ was the topic of conversation; the latest kool-aid. In a way, it’s quite a forgiving way of working. When someone makes a mistake, then it is chalked up to the ‘growth mindset’ and the idea is that person moves on from the mistake and everyone forgets a

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Diminishing the Dimensions with PCA!

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction This article will give you clarity on what is dimensionality. The post Diminishing the Dimensions with PCA! appeared first on Analytics Vidhya.

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Documenting and Managing Governance, Risk and Compliance with Business Process

erwin

Managing an organization’s governance, risk and compliance (GRC) via its enterprise and business architectures means managing them against business processes (BP). Shockingly, a lot of organizations, even today, manage this through, either homemade tools or documents, checklists, Excel files, custom-made databases and so on and so forth. The three main reasons organizations tend to still operate in this manual and disparate way comes down to three reasons: Cost.

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Cloudera Operational Database application development concepts

Cloudera

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . If you are new to Cloudera Operational Database, see this blog post. And, check out the documentation here. . In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.

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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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How to Follow New OECD Guidance on Transfer Pricing

Jet Global

2020 may go down in history as one of the most challenging years in modern times. Transfer pricing professionals, in particular, have had a front row seat witnessing the impact that COVID-19 and other disruptions had on the flow of trade within global supply chains. But now that we’re well into 2021 and still seeing major global disruptions, many tax and transfer pricing professionals may be wondering how long they may ultimately last.

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Introduction to Hugging Face’s Transformers v4.3.0 and its First Automatic Speech Recognition Model – Wav2Vec2

Analytics Vidhya

ArticleVideos Overview Hugging Face has released Transformers v4.3.0 and it introduces the first Automatic Speech Recognition model to the library: Wav2Vec2 Using one hour. The post Introduction to Hugging Face’s Transformers v4.3.0 and its First Automatic Speech Recognition Model – Wav2Vec2 appeared first on Analytics Vidhya.

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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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The Data at the Heart of Valentine’s Day

Sisense

Blog. Valentine’s Day isn’t just the most romantic holiday of the year, it’s also a huge economic event undergirded by immense volumes of data. Whether or not you celebrate it, gift-givers around the world will shell out an estimated $21 billion on candy, flowers, and more this year. Confectioners, gift companies, flower retailers, and other businesses will rely on mountains of data to make sure this amorous day of celebration comes up roses for countless romantics across the globe.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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The Case of the Disappearing Bonus: Exploring the Impact of Leaving Transfer Pricing Adjustments to Year-End

Jet Global

With the turn of the new year and many organizations now knee deep in their own year-ends, it’s possible that tax and finance departments are once again grappling with last-minute transfer pricing adjustments. In taxation and accounting, transfer pricing refers to the methods organizations use for pricing the transactions that take place within and between the enterprises they control.

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An Introduction to Normalization Theory

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction: One of the main concepts of Relational Database Management Systems. The post An Introduction to Normalization Theory appeared first on Analytics Vidhya.

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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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What Does the World’s First Autonomous Ship Have to Do With Business Decision-Making?

Decision Management Solutions

What does the autonomous ship, Mayflower 400, have to do with business-driven decision-making? Quite a bit, it turns out. As you’ll see, the development of this amazing, one-of-a-kind vessel led to a conclusion that we at Decision Management Solutions see every day in our client work: It’s never enough to just rely on artificial intelligence (AI)/machine learning (ML) to do all the decision-making.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.