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.

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104

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 289

Machine Learning Modeling Analytics Data Science 289

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

O'Reilly on Data

OCTOBER 10, 2019

The O’Reilly Data Show Podcast: Peter Bailis on data management, ML benchmarks, and building next-gen tools for analysts. In this episode of the Data Show , I speak with Peter Bailis , founder and CEO of Sisu , a startup that is using machine learning to improve operational analytics. Bailis is also an assistant professor of computer science at Stanford University, where he conducts research into data-intensive systems and where he is co-founder of the DAWN Lab.

Business Intelligence 27

Business Intelligence Machine Learning Analytics Management 27

KDnuggets

OCTOBER 10, 2019

We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.

Deep Learning 123

Deep Learning Modeling 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 302

Data Science Analytics Machine Learning 302

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

Bruno Aziza

OCTOBER 9, 2019

Why demystifying AI is critical to business success.

108

108

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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

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 282

Analytics Deep Learning 282

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 123

Visualization Data Science 123

Srividya Sridharan

OCTOBER 11, 2019

Our team is busy gearing up for the Data Strategy & Insights 2019 Forum in about three weeks. My co-RD Gene Leganza and I are having some great speaker prep conversations, and we’ve been lucky to get a sneak peek into how these industry speakers are making an impact in their organizations by leading the […].

Analytics 18

Analytics Data Strategy Strategy Consulting 18

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📌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.

Data-driven

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 234

Analytics Deep Learning 234

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

KDnuggets

OCTOBER 8, 2019

In this article, we’ll try to cover everything related to Artificial Neural Networks or ANN.

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123

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 92

Big Data Broadcasting Statistics Metrics 92

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

Teradata

OCTOBER 9, 2019

Teradata Workload Management automates changes in settings across processing windows as patterns of end user usage changes and as business requirements shift.

Management 16

Management 16

Dataiku

OCTOBER 9, 2019

In a rapidly digitizing retail space , small differences have the potential to give retailers the competitive edge they need to thrive. Stock optimization enables retailers to give customers an effortless and breezy shopping experience, where all the things they need are quickly available. This creates an excellent customer experience and increases brand trust, thus improving customer relationships in the long term.

Optimization 16

Optimization 16

KDnuggets

OCTOBER 9, 2019

Why I love boring ML problems and how I think about them.

Data Science 115

Data Science Machine Learning 115

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 84

Dashboards Big Data Key Performance Indicator Visualization 84

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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.

Reporting

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

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

KDnuggets

OCTOBER 9, 2019

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.

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115

DataRobot

OCTOBER 8, 2019

Recently, my Facebook feed has become clogged with advertisements. Many of those advertisements are selling products that aren’t a good match for me, including ones for shampoo and hair care products!

Advertising 15

Advertising Marketing 15

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.

Business Intelligence

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

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 74

Uncertainty IT Data-driven 74

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 112

Management 112

DataRobot

OCTOBER 9, 2019

The best models on the planet were in London recently. At the London Fashion week, we saw the top supermodels from around the world come together to showcase the newest styles and fashion. At the same time, DataRobot was in town at the Retail Tech Event parading their automated machine learning models to the retail industry. Both types of models make a big impact on the retail industry, but it is DataRobot’s models that have the power to reshape the future of retail as we know it.

Modeling 14

Modeling Machine Learning IT 14

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