Sat.Oct 10, 2020 - Fri.Oct 16, 2020

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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have. Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of interactive dashboards. Take a comfortable seat, enjoy the power of interactive business dashboards , leave your spreadsheets behind, and utilize the advantages of interactive dashboard design and i

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Building an end to end image classification/recognition application

Analytics Vidhya

Introduction In the recent years, face recognition applications have been developed on a much larger scale. Image classification and recognition has evolved and is. The post Building an end to end image classification/recognition application appeared first on Analytics Vidhya.

Analytics 400
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AI Product Management After Deployment

O'Reilly on Data

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market.

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Key Strategies and Senior Executives’ Perspectives on AI Adoption in 2020

Rocket-Powered Data Science

Artificial intelligence (AI) has become one of the most significant emerging technologies of the past few years. Some market estimates anticipate that AI will contribute 16 trillion dollars to the global GDP (gross domestic product) by 2030. While there has been accelerating interest in implementing AI as a technology, there has been concurrent growth in interest in implementing successful AI strategies.

Strategy 198
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Doing Power BI the Right Way: 7. Validating data model results

Paul Turley

Moving important business data into a data model for analytic reporting can often be a two-edge sword. Data retrieval is fast and can support all kinds of analytic trending and comparisons. But, data in the model may be one or two layers away from the original source data, making it more challenging to compare with familiar user reports. Often the first validation effort after transforming and loading data into the model and then visualizing the initial results is having a business user say " ye

Modeling 145
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Create a Word Cloud or Tag Cloud in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I have always been in love with Data Visualization since the. The post Create a Word Cloud or Tag Cloud in Python appeared first on Analytics Vidhya.

More Trending

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How We Teach The Leaders of Tomorrow To Be Curious, Ask Questions and Not Be Afraid To Fail Fast To Learn Fast

Rocket-Powered Data Science

I recently enjoyed recording a podcast with Joe DosSantos (Chief Data Officer at Qlik ). This was one in a series of #DataBrilliant podcasts by Qlik , which you can also access here and here. I summarize below some of the topics that Joe and I discussed in the podcast. Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more.

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A Cloud-Based UI/UX Design Tool For Better Collaboration

Smart Data Collective

Cloud design tools are creating a new future for the design profession. One study found that 47% of companies that use CAD software are implementing or strongly considering implementing a cloud-based CAD solution in the future. The number of professionals using other cloud-based design applications is even higher. We talked about the use of machine learning and big data in web development.

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Feature Selection Techniques in Machine Learning

Analytics Vidhya

Introduction When building a machine learning model in real-life, it’s almost rare that all the variables in the dataset are useful to build a. The post Feature Selection Techniques in Machine Learning appeared first on Analytics Vidhya.

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How-to: Index Data from S3 via NiFi Using CDP Data Hubs

Cloudera

About this Blog. Data Discovery and Exploration (DDE) was recently released in tech preview in Cloudera Data Platform in public cloud. In this blog we will go through the process of indexing data from S3 into Solr in DDE with the help of NiFi in Data Flow. The scenario is the same as it was in the previous blog but the ingest pipeline differs. Spark as the ingest pipeline tool for Search (i.e.

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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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Data: The Crumbling Foundation of Finance, Our Once Trusted Advisor

Teradata

The most frequently asked question of Finance departments today is, ‘whose data do we trust’? Here’s how to ensure Finance always has the correct answer.

Finance 117
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Phenomenal Data-Driven Insights Spark Growth In Auto Transport Industry

Smart Data Collective

Deloitte Analytics author Ashwin Patil recently talked about the incredible benefits of big data in the automotive sector. His article focused primarily on the applications of big data in auto manufacturing. “At the same time, big data and analytics today offer previously unthinkable possibilities for tackling these and many other challenges automakers face.

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Create your Own Image Classification Model using Python and Keras

Analytics Vidhya

Introduction Have you ever stumbled upon a dataset or an image and wondered if you could create a system capable of differentiating or identifying. The post Create your Own Image Classification Model using Python and Keras appeared first on Analytics Vidhya.

Modeling 386
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Apache Spark on Kubernetes: How Apache YuniKorn (Incubating) helps

Cloudera

Background. Why choose K8s for Apache Spark. Apache Spark unifies batch processing, real-time processing, stream analytics, machine learning, and interactive query in one-platform. While Apache Spark provides a lot of capabilities to support diversified use cases, it comes with additional complexity and high maintenance costs for cluster administrators.

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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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Is It AI or Not? A Score Card With 4 Dimensions

Dataiku

AI is certainly a hot topic that everyone claims to be doing (or working on doing). But how many businesses are actually executing? One of the reasons it’s a difficult question to answer is that everyone seems to have a different definition of what exactly AI is.

IT 110
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How Employee Training In Enterprises Can Benefit From Data

Smart Data Collective

Enterprises now acknowledge the value of having a highly capable workforce. The ever-changing business landscape demands workers to continually upskill and reskill, giving rise to employee training utilization. Most organizations are now reinforcing their human resources and training and development departments to help them address the need. Large US companies on the average spent $17.7 million on such efforts in 2019.

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Python 3.9 is out! Explore 7 Exciting Python 3.9 Features That You Should Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As famous author Wayne W.Dyer puts it, Change the way you. The post Python 3.9 is out! Explore 7 Exciting Python 3.9 Features That You Should Know appeared first on Analytics Vidhya.

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What you need to know to begin your journey to CDP

Cloudera

Recently, my colleague published a blog build on your investment by Migrating or Upgrading to CDP Data Center , which articulates great CDP Private Cloud Base features. Existing CDH and HDP customers can immediately benefit from this new functionality. This blog focuses on the process to accelerate your CDP journey to CDP Private Cloud Base for both professional services engagements and self-service upgrades.

Risk 118
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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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Why the Single Source of Truth Paradigm in Data Warehousing is Outdated

Teradata

The old paradigm of the data warehouse serving as the single source of truth in today's ever evolving data landscape can no longer be sustained. Find out why.

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Smart Data Visualizations: Quality Assessment Algorithm

Occam's Razor

The gap between a bad and good data visualization is small. The gap between a good and great data visualization is a vast chasm! The challenge is that we, and our HiPPOs, bring opinions and feelings and our perceptions of what will go viral to the conversation. This is entirely counter productive to distinguishing between bad, good, and great. What we need instead is a rock solid understanding of the updraft we face in our quest for greatness, and a standard framework that can help us dispassion

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12 Powerful Tips to Ace Data Science and Machine Learning Hackathons

Analytics Vidhya

Overview Data science hackathons can be a tough nut to crack, especially for beginners Here are 12 powerful tips to crack your next data. The post 12 Powerful Tips to Ace Data Science and Machine Learning Hackathons appeared first on Analytics Vidhya.

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Measuring Models' Uncertainty: Conformal Prediction

Dataiku

For designing machine learning (ML) models as well as for monitoring them in production, uncertainty estimation on predictions is a critical asset. It helps identify suspicious samples during model training in addition to detecting out-of-distribution samples at inference time.

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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.

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4 Amazing Time Saving Analytics Tools For Social Media Marketing

Smart Data Collective

Analytics is at the forefront of social media marketing. The market for social media analytics was worth $3.58 billion this year. At the point when the idea of Social Media Platforms previously came into light in the last part of the 2000s, everyone hoped to experience their new hobby and they have remained there from that point onward. Analytics wasn’t a big deal in the early days of social media marketing, but has become more important since.

Marketing 107
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Customizing Reports for the Audience with Deven Wisner

Depict Data Studio

When should we follow APA format? When should we not? Earlier this year I sat down with my good friend Deven Wisner about customizing reports for the audience. Watch Our Conversation. During this six-minute conversation, we talked about Deven’s current work (he’s a managing partner, professor and student himself!) as well as the advice he gives to his own students. .

Reporting 105
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5 Tableau Tips for Designing a Tidy and Impactful Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Tableau Tips! Creating a chart or visual in Tableau is. The post 5 Tableau Tips for Designing a Tidy and Impactful Visualization appeared first on Analytics Vidhya.

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Happy Birthday, CDP Public Cloud

Cloudera

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. That Was Then. In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Live Patching Is Invaluable To Data Development In Linux

Smart Data Collective

There are a number of different platforms for developing applications that rely on big data. Linux is unquestionably one of the most important. Computer Weekly has stated that Linux is the “powerhouse of big data.” However, developing big data applications rely on the most up-to-date tools. Live patching is one of the most important technologies for developers working on data analytics projects on Linux.

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3 Ways to Get the Most Out of Your SAP Financial Reporting

Jet Global

If you’re like many CFOs or financial professionals, you’re probably turning to SAP and its Finance and Controlling module (or “FICO”) in either S/4HANA or ECC to manage your organization’s reporting. On the surface, this seems logical given the extensive collection of pre-built reports that are available and created in accordance with accounting standards.

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Global Model Interpretability Techniques for Black Box Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction There is no mathematical equation for model interpretability. ‘Interpretability is the. The post Global Model Interpretability Techniques for Black Box Models appeared first on Analytics Vidhya.

Modeling 349
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Alation is the Clear Leader in The Forrester Wave™: Machine Learning Data Catalogs, Q4 2020

Alation

The post Alation is the Clear Leader in The Forrester Wave™: Machine Learning Data Catalogs, Q4 2020 appeared first on Alation.

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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.