datapine

OCTOBER 10, 2019

If you want to convey crucial information to decision-makers in the easiest and most effective way possible, you need to embrace the power of interactive dashboards. A business dashboard offers at-a-glance insights based on key performance indicators (KPIs) and is an intuitive and visually pleasing way to consume data. Unlike early predecessors, they give presenters the ability to engage audiences with real-time data.

Dashboards 146

Dashboards Visualization Sales Metrics 146

KDnuggets

OCTOBER 8, 2019

As so many more organizations now rely on AI to deliver services and consumer experiences, establishing a public trust in the AI is crucial as these systems begin to make harder decisions that impact customers.

76

76

Corinium

OCTOBER 8, 2019

Machine learning (ML) is driving AI adoption in business, with 80% of data and analytics leaders reporting that their organizations have already implemented ML initiatives, according to new Corinium research.

Enterprise 186

Enterprise Machine Learning Reporting Analytics 186

Analytics Vidhya

OCTOBER 6, 2019

Overview What are the next steps after you’ve deployed your machine learning model? Post-deployment monitoring is a crucial step in any machine learning project. The post Deployed your Machine Learning Model? Here’s What you Need to Know About Post-Production Monitoring appeared first on Analytics Vidhya.

Machine Learning 279

Machine Learning Modeling Analytics Data Science 279

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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?

Business Intelligence

Ontotext

OCTOBER 10, 2019

What is AI? Defining artificial intelligence is tricky. Firstly, we aren’t agreed on what intelligence actually is, natural or artificial. The most famous test for artificial intelligence, the Turing Test, is little more than a process where, after asking a series of questions, a person decides if the thing they are interacting with seems intelligent or not.

Testing 109

Testing Interactive Data-driven IT 109

KDnuggets

OCTOBER 7, 2019

Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.

IT 123

IT 123

Analytics Vidhya

OCTOBER 9, 2019

Overview Web scraping is a highly effective method to extract data from websites (depending on the website’s regulations) Learn how to perform web scraping. The post Hands-On Introduction to Web Scraping in Python: A Powerful Way to Extract Data for your Data Science Project appeared first on Analytics Vidhya.

Data Science 301

Data Science Analytics Machine Learning 301

Domino Data Lab

OCTOBER 9, 2019

This article covers clustering including K-means and hierarchical clustering. A complementary Domino project is available. Introduction. Clustering is a machine learning technique that enables researchers and data scientists to partition and segment data. Segmenting data into appropriate groups is a core task when conducting exploratory analysis. As Domino seeks to support the acceleration of data science work, including core tasks, Domino reached out to Addison-Wesley Professional (AWP) Pearson

Statistics 100

Statistics Machine Learning Metrics Measurement 100

KDnuggets

OCTOBER 7, 2019

As a data scientist, your most important skill is creating meaningful visualizations to disseminate knowledge and impact your organization or client. These seven principals will guide you toward developing charts with clarity, as exemplified with data from a recent KDnuggets poll.

Visualization 108

Visualization Data Science 108

Data Science 101

OCTOBER 5, 2019

Microsoft Research Open Data is a search engine for free datasets available from Microsoft Research. The datasets are primarily aimed at Natural Language Processing (NLP) and computer vision. Take a look if you are in need of a dataset for your next project.

Data Science 93

Data Science 93

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Data-driven

Analytics Vidhya

OCTOBER 8, 2019

Overview A beginner-friendly introduction to the powerful SIFT (Scale Invariant Feature Transform) technique Learn how to perform Feature Matching using SIFT We also showcase. The post A Detailed Guide to the Powerful SIFT Technique for Image Matching (with Python code) appeared first on Analytics Vidhya.

Analytics 279

Analytics Deep Learning 279

Smart Data Collective

OCTOBER 8, 2019

While sports analytics is hardly a new idea, how it is being used in hockey has changed dramatically. Coaches no longer have to wait for newspapers to print out statistics. Fans are not left to wonder how their favorite players are truly excelling. What has brought about this change? Big data. Big data has taken all forms of sports analytics by storm, but we are only now really beginning to see what it can do for hockey.

Big Data 87

Big Data Broadcasting Statistics Metrics 87

KDnuggets

OCTOBER 9, 2019

By the end of my week with the team, I managed to proudly cut two PRs on GitHub. I decided that I would write a blog post to knowledge share, not just to show that YES, you can too.

Management 89

Management 89

Jet Global

OCTOBER 11, 2019

Do you love JD Edwards for its flexibility and ease-of-use? But, do you wish its reporting was just as flexible and easy? JD Edwards is a great platform with a justly loyal userbase. But finance and accounting users know from experience that reporting out of JD Edwards is too often intertwined with their IT organization or a consultant. Join us for this webinar to discover 5 ways that insightsoftware’s purpose-built JDE reporting solution can give you the reporting you’ve always dreamed of: Day

Reporting 74

Reporting Snapshot Finance Consulting 74

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.

Marketing

Analytics Vidhya

OCTOBER 10, 2019

Picture a world where: Machines are able to have human-level conversations with us Computers understand the context of the conversation without having to be. The post 7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019 appeared first on Analytics Vidhya.

Analytics 212

Analytics Deep Learning 212

Smart Data Collective

OCTOBER 11, 2019

There are a lot of ways that organizations can leverage big data. Most of them don’t have difficulty collecting the data they need to make more informed decisions. However, they often struggle to conceptualize the data and present it in a format that supports their conclusions. This is one of the areas where a business dashboard can be useful. Big data has made business dashboards possible.

Dashboards 81

Dashboards Big Data Key Performance Indicator Visualization 81

KDnuggets

OCTOBER 10, 2019

While you may be focused on your performance during your next job interview, landing that interview can be just as hard. Check out these tips for finding and securing an interview for a machine learning job.

Machine Learning 89

Machine Learning 89

Juice Analytics

OCTOBER 7, 2019

With all the talk about Data Literacy (led by folks like @Ben Jones , @Jordan Morrow , @Valerie Logan ) and/or Data Fluency (?? @Dalton Ruer ), the time is right for a more rigorous methodology for understanding the audiences for data dialogue. Which got me thinking: What if there was a Myers Briggs -style personality type indicator for data personalities?

Uncertainty 75

Uncertainty IT Data-driven 75

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.

Business Intelligence

Data Science and Beyond

OCTOBER 5, 2019

Bootstrapping the right way is a talk I gave earlier this year at the YOW! Data conference in Sydney. You can now watch the video of the talk and have a look through the slides. The content of the talk is similar to a post I published on bootstrapping pitfalls , with some additional simulations. The main takeaways shared in the talk are: Don’t compare single-sample confidence intervals by eye.

Testing 72

Testing Sales Publishing Modeling 72

Octopai

OCTOBER 6, 2019

Put on your virtual safari helmet and sharpen your navigation skills. We’re going on an expedition of discovery. This is no ordinary, physical journey. We’re exploring the true heart of darkness: the uncharted territory of your data landscape. What we will discover can be both frightening and enlightening, often at the same time. The journey will not be easy.

Slice and Dice 72

Slice and Dice Metadata Visualization Data Governance 72

KDnuggets

OCTOBER 11, 2019

You have heard the expression “there is no such thing as a free lunch” – well in machine learning the same principle holds. In fact there is even a theorem with the same name.

Machine Learning 87

Machine Learning Optimization Deep Learning 87

Sisense

OCTOBER 7, 2019

Blog. Humans losing jobs to robots has been the preoccupation of economists and sci-fi writers alike for almost 100 years. AI systems are the next perceived threat to human jobs, but which jobs? Sourcing the logic from numerous open source packages or paid API services, connecting disparate datasets, and maintaining a pipeline are complex tasks that AIs are ill-suited to do at present.

Forecasting 71

Forecasting Testing Business Intelligence Data Warehouse 71

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.

Data-driven

DataCamp

OCTOBER 11, 2019

Learn how DataCamp's free classroom offering has impacted over 200,000 students from 180 different countries helping DataCamp achieve its mission.

Modeling 78

Modeling IT 78

Smart Data Collective

OCTOBER 7, 2019

Sinatra is a great web application library. It can be used to streamline development in Ruby and several other programming languages. A number of articles on Dzone have been written on using Sinatra to develop web applications and other solutions, but there didn’t appear to be an article on setting up Sinatra. We decided to provide a quick tutorial on this process.

Software 67

Software Marketing IT 67

KDnuggets

OCTOBER 11, 2019

This literature review on document embedding techniques thoroughly covers the many ways practitioners develop rich vector representations of text -- from single sentences to entire books.

86

86

BizAcuity

OCTOBER 7, 2019

With the IT shift to cloud and business shift to cloud-based data platforms, there is a growing increase in migration projects, which aim at migrating applications and data from a corporate data centre to a cloud platform. The migration may be mandatory because of a merger or acquisition, in which data from another organization has to be migrated to a new or existing environment, or because a business segment has been sold, which requires migration to storage elsewhere.

Consulting 65

Consulting Data Warehouse Strategy Recreation/Entertainment 65

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.

Sales

IBM Big Data Hub

OCTOBER 11, 2019

Let’s say you’re the Chief Technology Officer of a bank or retailer struggling to infuse AI that aims to improve customer experiences.

Data Integration 75

Data Integration Technology 75

Bruno Aziza

OCTOBER 9, 2019

Why demystifying AI is critical to business success.

108

108

KDnuggets

OCTOBER 10, 2019

If we want a machine learning model to be able to generalize these forms together, we need to map them to a shared representation. But when are two different words the same for our purposes? It depends.

Machine Learning 84

Machine Learning Modeling IT Analytics 84

Andrew White

OCTOBER 8, 2019

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Sally Parker has just updated two of our most popular notes concerning organizational models and roles and skills related to data and analytics governance. Her second note of the two-note set just went to number 1!

Analytics 63

Analytics Interactive Modeling 63

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.

Modeling