datapine

AUGUST 20, 2019

Businesses are going through a major change where business operations are becoming predominantly data-intensive. As per studies , more than 2.5 quintillions of bytes of data are being created each day. This pace suggests that 90% of the data in the world is generated over the past two years alone. A large part of this enormous growth of data is fuelled by digital economies that rely on a multitude of processes, technologies, systems, etc. to perform B2B operations.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Analytics Vidhya

AUGUST 20, 2019

Overview Learn how to remove stopwords and perform text normalization in Python – an essential Natural Language Processing (NLP) read We will explore the. The post NLP Essentials: Removing Stopwords and Performing Text Normalization using NLTK and spaCy in Python appeared first on Analytics Vidhya.

Analytics 279

Analytics 279

KDnuggets

AUGUST 20, 2019

Kaggle Learn is "Faster Data Science Education," featuring micro-courses covering an array of data skills for immediate application. Courses may be made with newcomers in mind, but the platform and its content is proving useful as a review for more seasoned practitioners as well.

Data Science 120

Data Science IT 120

TDAN

AUGUST 20, 2019

Blockchain is a distributed, shared, permissioned ledger for recording transactions with consensus, provenance, immutability, and finality. It is the technology that drives virtual currencies like Bitcoin. But its potential spans many more industries and use cases than just virtual currencies. But let’s back up for a minute. How does blockchain work?

Technology 101

Technology IT Data Architecture Data Strategy 101

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

KDnuggets

AUGUST 20, 2019

Explore how to determine if your time series data is generated by a stationary process and how to handle the necessary assumptions and potential interpretations of your result.

111

111

Insight

AUGUST 20, 2019

The industry demand for Data Engineers is constantly on the rise and with it more and more software engineers and recent graduates try to enter the field. Data Engineering is a discipline notorious for being framework-driven and it is often hard for newcomers to find the right ones to learn. We at Insight offer a 7-week tuition-free Fellowship to help programmers transition to Data Engineering and have helped guide hundreds of Fellows overcome this exact hurdle.

Data Warehouse 71

Data Warehouse Big Data Data-driven Data Processing 71

Jet Global

AUGUST 20, 2019

Success is not “all about the Benjamins” – but good financial decisions are the foundation for every business’s growth and prosperity. In a country where 25% of businesses fail due to cash flow , it’s more important than ever to have a solid understanding of how cash flow contributes to your business and how technology, like business intelligence (BI), can help keep your cash under control.

Forecasting 68

Forecasting Business Intelligence Reporting Software 68

TDAN

AUGUST 20, 2019

The goal of data governance is to ensure the quality, availability, integrity, security, and usability within an organization. The way that you go about this is up to you. Many traditional approaches to data governance seem to struggle in practice; I suspect it is partly because of the cultural impedance mismatch, but also partly because […].

Data Governance 68

Data Governance Strategy Data Architecture IT 68

KDnuggets

AUGUST 20, 2019

Crunch is coming to Budapest, Hungary on 16-18 Oct. Use code KDNuggets to save on Data Science, Data Engineering, or BI tracks. But first, read this interview with keynote speaker Andy Cotgreave.

Data Science 64

Data Science 64

IBM Big Data Hub

AUGUST 20, 2019

The event formerly known as IBM Analytics University is happening again this fall. Join us at the Data and AI Forum on October 21–24 in Miami, Florida. Here’s a preview of what you can get out of this exciting event.

Analytics 63

Analytics 63

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

KDnuggets

AUGUST 20, 2019

Seeking scholars and leaders to fill four Assistant Professor (tenure track) faculty positions to start in Fall 2020. Exceptional candidates may be considered at the rank of Associate or Full Professor.

49

49

TDAN

AUGUST 20, 2019

Good day from DAMA International. We hope your Data Management career and programs are progressing well. If you have issues, please refer to DAMA.org for references, as well as the DAMA Data Management Body of Knowledge (DMBok). You can purchase the DMBoK at your favorite book source or via website link. Your DAMA-I Board of […].

Management 40

Management Data Quality Data Architecture Data Governance 40

Data Insight

AUGUST 20, 2019

At some point in the next decade, robots will be able to physically do what humans can do, and probably better than us too. It’s a tad frightening for some, and it’s happening faster than people might be ready for. At a recent event attended by our Chief Marketing Officer, Justin Flitter a panelist asked the audience for a show of hands. “When will autonomous vehicles be a transport option?”.

Machine Learning 40

Machine Learning Data-driven Strategy Marketing 40

TDAN

AUGUST 20, 2019

Building and designing websites have become a profitable industry. There are many people out there who have mastered the use of coding and design to create thousands if not millions of different websites. What would happen if an AI was designed to create a website? Would there be a loss of individuality or skilled design? […].

Business Intelligence 40

Business Intelligence 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Depict Data Studio

AUGUST 20, 2019

When you’re working in the weeds of a spreadsheet, it can be hard to step back and find the bigger picture. Here’s the approach I used in a recent training with a government client. Like all my custom workshops , attendees bring examples from their own projects that they’d like feedback on. Then, we remake those visualizations together during the session.

Visualization 40

Visualization Testing IT 40

TDAN

AUGUST 20, 2019

Gathering business intelligence is a process that starts from within. Collating internal intelligence is of vital importance before searching the market. Oftentimes, the internal departments of your business will offer better suggestions and methods than any others you can find. These suggestions and ideas will help form the basis of the intelligence gathering.

Business Intelligence 40

Business Intelligence Marketing Data Strategy Big Data 40

Dataiku

AUGUST 20, 2019

Data architects have a tendency to feel like unicorns: somehow they can manipulate data storage and computation structures like putty and also keep business objectives in mind.

Business Objectives 32

Business Objectives Data Architecture 32

Nutanix

AUGUST 20, 2019

Ok, you’ve decided to move to the cloud. You heard there’s a bunch of cool stuff you can do at a fraction of your current IT spend.

IT 20

IT 20

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing

Teradata

AUGUST 20, 2019

Teradata is named yet again to the Constellation ShortList™ for “Hybrid and Multi-Cloud Relational Database Management Systems." Read more!

Management 15

Management 15

DataRobot

AUGUST 20, 2019

Black Friday, Cyber Monday, Super Saturday—let’s talk numbers. In 2018, 165 million people shopped over Black Friday weekend from Thanksgiving to Cyber Monday. Sales on Black Friday totaled over $24 billion. On Cyber Monday, consumers spent $7.9 billion online, a third of which came from mobile devices. Despite these massive numbers, this year’s forecasts for Super Saturday on December 22nd have it surpassing Black Friday with a total of $26 billion.* Clearly, as online shopping continues to gro

Forecasting 13

Forecasting Sales IT Data Science 13

KDnuggets

AUGUST 20, 2019

Modern machine learning applications need to process a humongous amount of data and generate multiple features. Python’s datatable module was created to address this issue. It is a toolkit for performing big data (up to 100GB) operations on a single-node machine, at the maximum possible speed.

Big Data 106

Big Data Machine Learning IT Data Science 106

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Fenner. There is also a complementary Domino project available. Introduction. Many data scientists deliver value to their organizations by mapping , developing, and deploying an appropriate ML solution to address a business problem.

Testing 68

Testing Modeling Interactive Measurement 68

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Strategy