Sat.Jan 02, 2021 - Fri.Jan 08, 2021

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The Lifecycle of Data

TDAN

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 […].

IT 91
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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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Data-driven 2021: Predictions for a new year in data, analytics and AI

DataKitchen

The post Data-driven 2021: Predictions for a new year in data, analytics and AI first appeared on DataKitchen.

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The Art and Science of FP&A Storytelling

Timo Elliott

I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo. With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science.

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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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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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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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Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 1: The Set-Up & Basics

Cloudera

Introduction. Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. For data professionals that want to make use of data stored in HBase the recent upstream project “hbase-connectors” can be used with PySpark for basic operations.

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Improving Population Health Through Citizen 360

Teradata

By leveraging data to create a 360 degree view of its citizenry, government agencies can create more optimal experiences & improve outcomes such as closing the tax gap or improving quality of care.

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Explain How Your Model Works Using Explainable AI

Analytics Vidhya

ArticleVideos Can you explain how your model works? Meet XAI! Artificial intelligence techniques are used to solve real-world problems. We get the data, perform. The post Explain How Your Model Works Using Explainable AI appeared first on Analytics Vidhya.

Modeling 395
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DataOps Facilitates Remote Work

DataKitchen

Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer. Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance.

Testing 147
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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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30 Best Manufacturing KPIs and Metric Examples for 2021 Reporting

Jet Global

What is an Operations KPI? An Operations Key Performance Indicator (KPI) or metric is a discrete measurement that a company uses to monitor and evaluate the efficiency of its day-to-day operations. These operations KPIs help management identify which operational strategies are effective, and those that inhibit the company. Why Your Company Should Be Using Operational Metrics to Stay Competitive.

Metrics 131
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Understanding The Phenomenal Impact of Social Data on B2B Funnels

Smart Data Collective

We recently talked about the benefits of using big data in marketing. We even discussed some tools that leverage big data to get more value out of marketing strategies. For B2B sales and marketing teams, few metaphors are as powerful as the sales funnel. It’s a near-supernatural, multi-layered vortex that pulls in leads from the wider world, then draws them down toward closing.

B2B 128
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What is it Like to Be a Data Scientist in 2021?

Analytics Vidhya

ArticleVideos Overview The rise in demand for data scientist continues in 2021 too Understand what is it like to be a Data Scientist in. The post What is it Like to Be a Data Scientist in 2021? appeared first on Analytics Vidhya.

IT 379
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Gartner: Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment

DataKitchen

In Gartner’s recent report, Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment , Robert Thanaraj and Erick Brethenoux recognize that “organizations are not familiar with the processes needed to scale and promote artificial intelligence models from the prototype to the production stages; resulting in uncoordinated production deployment attempts.”.

Testing 130
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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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Object Detection With Deep Learning on Aerial Imagery

Dataiku

Imagine you’re in a landlocked country, and a mystery infection has spread. The government has fallen, and rebels are roaming the country. If you’re the armed forces in this scenario, how do you make decisions in this environment? How can you fully understand the situation at hand?

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Data Governance is Vital to the Future of a World Ruled by Artificial Intelligence

Smart Data Collective

Artificial intelligence has been a huge revolutionary advance for modern consumers and businesses. It has led to some of the most important and pressing discoveries. The market was worth $39.9 billion in 2019 and is growing at a pace of 42% a year between 2020 and 2027. However, there are a few fundamental things that we need to understand to make it work for us.

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Beginner’s Guide to Pearson’s Correlation Coefficient

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction When we try to infer something from what we have. The post Beginner’s Guide to Pearson’s Correlation Coefficient appeared first on Analytics Vidhya.

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An Expert Under the Hood: White-Label Reports and Dashboards

Sisense

Blog. What are white-labeled reports White-label reports: Under the hood Exploring white-label dashboards Use case snapshots Horsepower under the hood. Every company is becoming a data company. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time.

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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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Simple Tricks To Up-level Your Analytics Reports.

Occam's Razor

Like you, I consume a whole lot of reports every day – company data, public data. Many are acceptable, some are very good and all the rest leave me extremely frustrated with both the ink and the think. People make so many obvious mistakes. Sometimes repeatedly. Just yesterday I was quietly seething because none of visuals included in the report contained any context to understand if the performance I was looking at was good or bad.

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New Applied ML Research: Few-shot Text Classification

Cloudera

Text classification is a ubiquitous capability with a wealth of use cases. For example, recommendation systems rely on properly classifying text content such as news articles or product descriptions in order to provide users with the most relevant information. Classifying user-generated content allows for more nuanced sentiment analysis. And in the world of e-commerce, assigning product descriptions to the most fitting product category ensures quality control. .

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OpenAI’s Future of Vision: Contrastive Language Image Pre-training(CLIP)

Analytics Vidhya

ArticleVideos Introduction 2021 has begun with a bang! OpenAI has released two major innovations in the field of Computer Vision: CLIP and DALL-E. The. The post OpenAI’s Future of Vision: Contrastive Language Image Pre-training(CLIP) appeared first on Analytics Vidhya.

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insightsoftware Acquires Certent, Inc.

Jet Global

Deal extends insightsoftware’s comprehensive solution portfolio for the Office of the CFO with equity and disclosure management capabilities. RALEIGH, N.C. – January 7, 2021 – insightsoftware, a global provider of enterprise software solutions for the Office of the CFO, today announced it has acquired Certent, a leading provider of software-as-a-service solutions for financial disclosure management and equity management.

Finance 105
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Better Know a Visualization: Small Multiples

Juice Analytics

(With enough visualization methods to warrant a periodic table , it can be confusing to know what to use and when—and which visualizations are even worth considering at all. This series of posts is intended to introduce you to the visualization approaches that we find most useful, practical, and audience-friendly.). What is a small multiple? Small multiples are a visualization concept introduced by Edward Tufte.

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The Denodo Platform and the Internet of Things

Data Virtualization

In this post, I would like to share some ideas about how data virtualization and the Denodo Platform can be helpful in the exciting new world of edge computing, or the Internet of Things (IoT). The idea of the.

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JupyterLab 3.0 is Out! Get your Hands on the Latest JupyterLab Now

Analytics Vidhya

ArticleVideos Overview JupyterLab is a brilliant coding environment to perform data science tasks JupyterLab releases JupyterLab 3.0 with some exciting changes and updates. The post JupyterLab 3.0 is Out! Get your Hands on the Latest JupyterLab Now appeared first on Analytics Vidhya.

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“Without Data, Nothing” — Building Apps That Last With Data

Sisense

Blog. Every company is becoming a data company. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time. In philosophy, a “sine qua non” is something without which the phenomenon under consideration cannot exist. For modern apps, that “something” is data and analytics.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Back to Basics: What Is Your BI Dashboard Supposed to Do?

Jet Global

In his classic book How to Win Friends and Influence People, Dale Carnegie tells the story of how Charles Schwab increased productivity in an underperforming mill by 67 percent in a single day. At the end of each shift, Schwab used a piece of chalk to record a single number on the plant floor. That number represented the total quantity of items produced by the previous shift, and it sparked a friendly competition between the employees at the plant to see which shift could achieve higher producti

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

I think it’s fair to say that we’re all glad to usher in a New Year. Unexpected, unprecedented and disruptive, 2020 required radical transformation – within global organizations and our day-to-day lives. Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go.

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Kaggle Grandmasters Series – Exclusive Interview with World’s First Woman 2x Kaggle Grandmaster Usha Rengaraju

Analytics Vidhya

ArticleVideos The Kaggle Grandmaster series has always tried to break a myth in each of its interviews. It is no different in this 10th. The post Kaggle Grandmasters Series – Exclusive Interview with World’s First Woman 2x Kaggle Grandmaster Usha Rengaraju appeared first on Analytics Vidhya.

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5 Benefits of Business Process Automation

TreehouseTechGroup

Business scenarios are more complex today than ever before. To survive in today’s highly competitive climate, organizations must carefully use available resources, avoid wastage, and cut down operational costs. The pressure on margins is driving organizations to look for technology to support these measures towards gaining operational efficiencies. Automation technologies provide many benefits that help… The post 5 Benefits of Business Process Automation appeared first on Treehouse Tech Gr

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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.