Sat.Aug 08, 2020 - Fri.Aug 14, 2020

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Building Sales Prediction Web Application using Machine Learning Dataset

Analytics Vidhya

Introduction There are a lot of resources on the internet about finding insights and training models on machine learning datasets however very few articles. The post Building Sales Prediction Web Application using Machine Learning Dataset appeared first on Analytics Vidhya.

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What Are Business Reports And Why They Are Important: Examples & Templates

datapine

In your daily business, many different aspects and ‘activities’ are constantly changing – sales trends and volume, marketing performance metrics, warehouse operational shifts, or inventory management changes. All these little alterations in your business activities are impacting the global well-being of your company, your warehouse, your restaurant, or even your healthcare facility.

Reporting 297
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Enterprise Architecture: Secrets to Success

erwin

For enterprise architecture, success is often contingent on having clearly defined business goals. This is especially true in modern enterprise architecture, where value-adding initiatives are favoured over strictly “foundational,” “keeping the lights on,” type duties. But what does enterprise architecture success look like? Enterprise architecture is central to managing change and addressing key issues facing organizations.

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Teradata Vantage: Born for Cloud Before Cloud Was Born

Teradata

Teradata Workload Management enables Vantage to be fully optimized for cloud & hybrid deployments & to efficiently deliver the lowest cost for enterprise analytics.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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10 Powerful YouTube Channels for Data Science Aspirants!

Analytics Vidhya

Overview The path to spread data science has been blazed by people determined to make the world a better place Here is a list. The post 10 Powerful YouTube Channels for Data Science Aspirants! appeared first on Analytics Vidhya.

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Customer Retention Dashboard & Metrics Examples For Modern Companies

datapine

Companies, organizations, enterprises, large, or small businesses – no matter in which category you belong to, you need to pay close attention to your customers. A customer retention dashboard and metrics depicted in a neat visual will help you in monitoring, analyzing, and managing multiple customer-centric points and how they echo in your business.

More Trending

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Must-Have AI Features for Your App

Sisense

Blog. In Augmented Apps , we examine how product teams are exploring AI and Machine Learning to make their products more intuitive and enhance the user experience. . Artificial intelligence is transforming products in surprising and ingenious ways. Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into prod

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Here’s All you Need to Know About Encoding Categorical Data (with Python code)

Analytics Vidhya

Overview Understand what is Categorical Data Encoding Learn different encoding techniques and when to use them Introduction The performance of a machine learning. The post Here’s All you Need to Know About Encoding Categorical Data (with Python code) appeared first on Analytics Vidhya.

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The Future Tax Function

Jet Global

The growth in demand for corporate tax technologists, taxologists, or even taxnologists, has long been predicted. But mounting evidence from the education and recruitment sectors suggests that the future career path for tax professionals is already here. Multiple drivers are accelerating a transformation of tax teams’ roles and responsibilities, paving the way for innovative technology that reduces manual processes and boosts analytical capabilities.

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Step Up Your Marketing Attribution With Game Theory

Dataiku

Find out where your best leads come from. It’s no secret that marketing today relies heavily on data analytics and data science. Endless applications have been wildly studied and successfully applied in this regard, ranging from customer segmentation and targeting to building recommender systems and predicting churn. In this blogpost, we are going to address yet another interesting application of data science in marketing, which is marketing attribution.

Marketing 100
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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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Reporting System: Everything You Need to Know

FineReport

When mentioning the reporting, folders loaded with spreadsheets, graphs, and commentaries may ring a bell. With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. Many enterprises are eager to build a reporting system to solve the problems of report generation and management.

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Image Augmentation on the fly using Keras ImageDataGenerator!

Analytics Vidhya

Overview Understand image augmentation Learn Image Augmentation using Keras ImageDataGenerator Introduction When working with deep learning models, I have often found myself in. The post Image Augmentation on the fly using Keras ImageDataGenerator! appeared first on Analytics Vidhya.

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Expert Enterprise Financial Planning: Setting Up an Audit Trail

Jet Global

You’d be hard pressed to find a finance professional who looks forward to the audit process. But with a bit of planning, you can ease the pain of even an unexpected audit. How? By establishing a robust audit trail. An audit trail represents a clear record that allows auditors to trace your company’s financial data back to its original source. For businesses, audit trails are often used when an auditor, internal or external, needs to verify financial figures such as net earnings or revenue.

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Breaking Down the Economics of AI [Infographic]

Dataiku

According to an Accenture research report , three out of four C-suite executives believe that if they don't scale AI in the next five years, they risk going out of business entirely. Those able to leverage data science and machine learning techniques with efficiency and agility to improve business operations and processes (while also uncovering net new business opportunities) will gain a competitive advantage.

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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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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 14: Strategic priorities for Sales leaders through the crisis

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 14: Strategic priorities for Sales leaders through the crisis. Listening time: 14 minutes. Strategic priorities for Sales leaders through the crisis. Through the crisis and after, companies that bank on sales to bring in the desired revenue that will drive growth, also need to focus on making sure that their salespeople are doing things right.

Sales 98
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How to Extract tabular data from PDF document using Camelot in Python

Analytics Vidhya

Introduction PDF or Portable Document File format is one of the most common file formats in today’s time. It is widely used across every. The post How to Extract tabular data from PDF document using Camelot in Python appeared first on Analytics Vidhya.

Analytics 379
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Apache Ozone Fault Injection Framework

Cloudera

One of the key challenges of building an enterprise-class robust scalable storage system is to validate the system under duress and failing system components. This includes, but is not limited to: failed networks, failed or failing disks, arbitrary delays in the network or IO path, network partitions, and unresponsive systems. Apache Ozone fault injection framework is designed to validate Ozone under heavy stress and failed or failing system components.

Testing 96
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Lessons in Data Storytelling, …or Finding a Bunny Fit isn't a Bit Funny (for Some People)

Juice Analytics

This weekend I went down a rabbit hole with my 9 year-old daughter. Almost literally. She’s been dying to adopt a bunny, and I was able to (temporarily) redirected that energy into building a Juicebox bunny adoption data story. The project was a fun father-daughter learning experience that, upon reflection, was chocked full of lessons for data translators of any age.

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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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Digital Transformation in the Office of the CFO: Predictions for 2020 and Beyond

Jet Global

With everything going on in the world, the only consistency is change. People, and the businesses they work with, are adapting more rapidly now than ever before. Digital transformation has the power to radically overhaul every aspect of an organization’s operations. Naturally, that includes the finance department. But because of the company-wide impact of a financial transformation, the office of the CFO plays a unique role in driving the transformation beyond its own territory.

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How to Reduce Computational Constraints using Momentum Contrast V2(Moco-v2) in PyTorch

Analytics Vidhya

Introduction The SimCLR paper explains how this framework benefits from larger models and larger batch sizes and can produce results comparable to those of. The post How to Reduce Computational Constraints using Momentum Contrast V2(Moco-v2) in PyTorch appeared first on Analytics Vidhya.

Modeling 382
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How Dataiku Sandboxes Java to Avoid Heaps of Garbage

Dataiku

For those who do not know Dataiku DSS, it is a collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver data products more efficiently.

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Building a Scalable Data Strategy with IPTOP: Infrastructure, People, Tools, Organization, and Processes

DataCamp

Scaling a data strategy successfully is no small feat. Follow our methodology to lay a strong data foundation and scale an enterprise data program.

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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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Technology Transformation Antipatterns and how they derail decisioning success

Decision Management Solutions

Sven Blumberg, Thomas Delaet, and Kartikeya Swami of McKinsey Digital published a great paper recently – Ten ‘antipatterns’ that are derailing technology transformations. Technology has a crucial role in enabling this faster and more flexible approach. In our experience, however, technology does not get sufficient attention on the executive agenda.

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Bias and Variance in Machine Learning – A Fantastic Guide for Beginners!

Analytics Vidhya

Overview Learn to interpret Bias and Variance in a given model. What is the difference between Bias and Variance? How to achieve Bias and. The post Bias and Variance in Machine Learning – A Fantastic Guide for Beginners! appeared first on Analytics Vidhya.

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The Nuts and Bolts of Deep Learning Algorithms for Object Detection

Dataiku

You just got a new drone and you want it to be super smart! Maybe it should detect whether workers are properly wearing their helmets or how big the cracks on a factory rooftop are.

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Creating my First Deep Learning + Data Science Workstation

MLWhiz

Creating my workstation has been a dream for me, if nothing else. I knew the process involved, yet I somehow never got to it. It might have been time or money. Mostly Money. But this time I just had to do it. I was just fed up with setting up a server on AWS for any small personal project and fiddling with all the installations. Or I had to work on Google Collab notebooks, which have a lot of limitations on running times and network connections.

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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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Our Top 20 Most-Read Data and Analytics Research Last Week (to Aug 9)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Rita Sallam did it again! Her recent note ( Top 10 Trends in Data and Analytics, 2020 ) remained at “number 1” last week and was our most-read piece of research across data and analytics, excluding branded research such as Magic Quadrants. This is clearly a popular note!

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Information Retrieval using word2vec based Vector Space Model

Analytics Vidhya

Overview Learn about Information Retrieval (IR), Vector Space Models (VSM), and Mean Average Precision (MAP) Create a project on Information Retrieval using word2vec based. The post Information Retrieval using word2vec based Vector Space Model appeared first on Analytics Vidhya.

Modeling 305
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Arithmetic Properties of Word Embeddings

Dataiku

The fact that we can analyze the use of words in language to deduce their meaning is a fundamental idea of distributional semantics called the “distributional hypothesis”. This is the inspiration behind many algorithms for learning numerical representations of words (also called word embeddings). An important aspect of these representations is the ability to solve word analogies of the form “A is to B what C is to X” using simple arithmetic.

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5 Essential Business-Oriented Critical Thinking Skills For Data Scientists

MLWhiz

As Alexander Pope said, to err is human. By that metric, who is more human than us data scientists? We devise wrong hypotheses constantly and then spend time working on them just to find out how wrong we were. When looking at mistakes from an experiment, a data scientist needs to be critical, always on the lookout for something that others may have missed.

Metrics 64
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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.