KDnuggets

SEPTEMBER 12, 2019

It is important to distinguish prediction and classification. In many decision-making contexts, classification represents a premature decision, because classification combines prediction and decision making and usurps the decision maker in specifying costs of wrong decisions.

IT 119

IT Machine Learning Data Science 119

CIO Business Intelligence

SEPTEMBER 12, 2019

Business intelligence (BI) and analytics platforms have long been a staple for business, but thanks to the rise of self-service BI tools, responsibility for analytics has shifted from IT to business analysts, with support from data scientists and database administrators.

Analytics 106

Analytics Business Intelligence IT 106

KDnuggets

SEPTEMBER 12, 2019

There is no such thing as a free lunch in life or data science. Here, we'll explore some science philosophy and discuss the No Free Lunch theorems to find out what they mean for the field of data science.

Data Science 115

Data Science Optimization Machine Learning 115

erwin

SEPTEMBER 12, 2019

Strong internal business process modeling and management helps data-driven organizations compete and lead. In short, an internal business process is a documented account of how things should be done to maximize efficiency and achieve a particular goal. In the book “Exponential Organizations” by Salim Ismail, Michael S. Malone and Yuri van Geest , the authors, examine how every company is or will evolve into an information-based entity in which costs fall to nearly zero, abundance replaces scarci

Modeling 101

Modeling Cost-Benefit Data-driven Data Governance 101

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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

SEPTEMBER 12, 2019

It turned out that, if we ask the weak algorithm to create a whole bunch of classifiers (all weak for definition), and then combine them all, what may figure out is a stronger classifier.

Machine Learning 88

Machine Learning IT 88

Sisense

SEPTEMBER 12, 2019

Blog. We’ve been talking a lot recently about companies needing to use their data in order to stay in business in the future. We’ve even gone as far as saying that every company is a data company , whether they know it or not. And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

KDnuggets

SEPTEMBER 12, 2019

This article explains the Support Vector Machines (SVM) algorithm in an easy way.

Machine Learning 106

Machine Learning 106

DataCamp

SEPTEMBER 12, 2019

You can become a data scientist at any age if you’re willing to put in the work.

108

108

KDnuggets

SEPTEMBER 12, 2019

Io-Tahoe, a pioneer in Smart Data Discovery and AI-Driven Data Catalog products, has announced that Clearsense, a scalable data platform as a service built for healthcare, has chosen the smart data discovery platform to automatically discover and catalog relationships across immense amounts of medical and clinical data.

Data-driven 69

Data-driven 69

Smart Data Collective

SEPTEMBER 12, 2019

Big data is playing an essential role in virtually every facet of the digital marketing sphere. You can use big data to get higher conversion rates with any digital marketing medium, including email marketing. The ROI of email marketing is exceptional already. The average email marketer realizes a return of 3,700%. This figure can be a lot higher if you use big data to properly optimize your campaigns.

Big Data 69

Big Data Marketing Data Strategy Strategy 69

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

Hurwitz & Associates

SEPTEMBER 12, 2019

By Jean S. Bozman. IBM applied the design thinking to its flagship IBM Z mainframe system, the IBM z15. Based on customer feedback over the last four years, IBM has made management easier and provides administrators greater visibility into the system, while supporting cloud-native development, containers and migration to hybrid clouds. The system includes 25% more memory and capacity build than the z14.

Digital Transformation 56

Digital Transformation Software Enterprise Strategy 56

CIO Business Intelligence

SEPTEMBER 12, 2019

The push towards more intelligent - even invisible - networks is an exciting future and one we’re all working towards, according to a group of tech leaders during a recent CIO panel discussion at the Juniper Nxtwork 2019 event in Sydney. The panelists - including Willow CIO Will Sessions, Damian Madden, general manager, digital, of The Woolmark Company, Vincent ten Krooden, general manager of technology of Mortgage Choice, Stephen Kurzeja, Vocus CTO, and Sam Brock-Smith, general manager of solut

Digital Transformation 40

Digital Transformation Management Technology 40

3AG Systems

SEPTEMBER 12, 2019

OEE. It’s a term almost everyone in mining and manufacturing is familiar with, but one that very few would profess to truly understand. Its application seems almost too simple, yet its calculation can stump even the brightest leaders. An OEE definition and some broad applications OEE, or overall equipment effectiveness is like the headlamp on a miner’s helmet: It shines a bright light where you need to focus your work and highlights how best to do that work—so you can be as efficient (with your

Manufacturing 40

Manufacturing Measurement IT 40

O'Reilly on Data

SEPTEMBER 12, 2019

The O’Reilly Data Show Podcast: Michael Mahoney on developing a practical theory for deep learning. In this episode of the Data Show , I speak with Michael Mahoney , a member of RISELab , the International Computer Science Institute , and the Department of Statistics at UC Berkeley. A physicist by training, Mahoney has been at the forefront of many important problems in large-scale data analysis.

Deep Learning 28

Deep Learning Statistics Data Processing Optimization 28

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

Nutanix

SEPTEMBER 12, 2019

Your databases have been running on legacy IT infrastructure for years—decades, even. It’s a beast, but a familiar beast, and your IT team knows the ins-and-outs of the technology.

Technology 20

Technology IT 20

Dataiku

SEPTEMBER 12, 2019

Fraud detection is one of the most pressing issues in banking. The U.S. Federal Trade Commission has logged millions of fraud-related complaints in the last five years ; the scale of the problem is incredible. As such, the potential gains from successful prevention are equally massive.

Machine Learning 13

Machine Learning 13

Nutanix

SEPTEMBER 12, 2019

Your databases have been running on legacy IT infrastructure for years—decades, even. It’s a beast, but a familiar beast, and your IT team knows the ins-and-outs of the technology.

Technology 20

Technology IT 20

Smart Data Collective

SEPTEMBER 12, 2019

The HR Technologist covers a lot of great information on big data and AI technology in the HR world. They recently published a great article on the utilization of machine learning and AI in employee background checks. Author Chiradeep BasuMallick said that an Israeli background check company has used machine learning to make the process much more accurate.

Machine Learning 77

Machine Learning Measurement Big Data Publishing 77

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

Nutanix

SEPTEMBER 12, 2019

Nutanix has supported Red Hat Enterprise Linux as a guest OS on AHV since our earliest days.

Management 20

Management Enterprise 20