Sat.Aug 03, 2019 - Fri.Aug 09, 2019

article thumbnail

Machine Learning, Trust and Stephen Covey

Decision Management Solutions

Trust is a big deal when it comes to machine learning. “Black box” algorithms, concerns about bias and a sense that data scientists may know everything about the data but nothing about the business all undermine trust in machine learning models. Indeed, building machine learning models that can be, will be, trusted is regarded as a critical issue for many data science teams.

article thumbnail

The Case of Data Democratization

TDAN

All businesses, no matter the industry or focus, are completely inundated by data. After all, we live in a very competitive world and data can help everyone improve their business performance. One could also argue that with this abundance of data, there is also a rise of new technologies, frameworks, and methodologies which can help […].

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top 5 Data Catalog Benefits: Understanding Your Organization’s Data Lineage

erwin

A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects. Data cataloging helps curate internal and external datasets for a range of content authors.

article thumbnail

Is Self-Service Analytics Sustainable?

Teradata

Self-service analytics are increasingly being implemented by organizations that want to promote a data-driven culture. But how sustainable is it? Read more.

article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

article thumbnail

11 Important Model Evaluation Metrics for Machine Learning Everyone should know

Analytics Vidhya

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

article thumbnail

Data Ethics: Contesting Truth and Rearranging Power

Domino Data Lab

This Domino Data Science Field Note covers Chris Wiggins ‘s recent data ethics seminar at Berkeley. The article focuses on 1) proposed frameworks for defining and designing for ethics and for understanding the forces that encourage industry to operationalize ethics, as well as 2) proposed ethical principles for data scientists to consider when developing data-empowered products.

More Trending

article thumbnail

SaaS Dashboard Examples For Modern Business Management Practices

datapine

In the Age of Information, digital technologies have evolved to such an extent that a wealth of tools, applications, and platforms exists to enhance the way businesses operate in a number of areas. Software as a service (SaaS) has blossomed in the last five years, and the public SaaS market is expected to grow to $76 billion by the year 2020, according to FinancesOnline.

article thumbnail

A Friendly Introduction to Real-Time Object Detection using the Powerful SlimYOLOv3 Framework

Analytics Vidhya

Overview Real-time object detection is taking the computer vision industry by storm Here’s a step-by-step introduction to SlimYOLOv3, the latest real-time object detection framework. The post A Friendly Introduction to Real-Time Object Detection using the Powerful SlimYOLOv3 Framework appeared first on Analytics Vidhya.

Analytics 308
article thumbnail

A matter of chickens and unicorns by Pieter Vorster

Corinium

Joining us at the Chief Data & Analytics Officer Melbourne (9-11 September), we are pleased to welcome Pieter Vorster, Executive General Manager, Customer Solutions & Insights at Bankwest. He shares his insight on the knowledge gap growing between decision-makers and data specialists.

article thumbnail

Knowing Your Neighbours: Machine Learning on Graphs

KDnuggets

Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning method to solve challenges with connected data.

article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

article thumbnail

How Data Analytics Tools Eliminate Business Owner Headaches

Smart Data Collective

Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges.

article thumbnail

A Comprehensive Guide to Build your own Language Model in Python!

Analytics Vidhya

Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we. The post A Comprehensive Guide to Build your own Language Model in Python! appeared first on Analytics Vidhya.

Modeling 303
article thumbnail

The Fourth Industrial Revolution Risks Leaving Women Behind

Corinium

The Fourth Industrial Revolution is, ostensibly, upon us. The term was coined in 2016 by Klaus Schwab, the founder and executive chairman of the World Economic Form.

Risk 150
article thumbnail

What is Benford’s Law and why is it important for data science?

KDnuggets

Benford’s law is a little-known gem for data analytics. Learn about how this can be used for anomaly or fraud detection in scientific or technical publications.

article thumbnail

How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

article thumbnail

Why Python is getting more popular.and how to use it with SQL databases

IBM Big Data Hub

For the past nine years, Stack Overflow , a question-and-answer website for programmers, has polled developers to understand what technologies they are using and to find out what technologies they want to work with next. This year, the nearly 90,000 survey participants revealed that, once again, Python has risen in the ranks of language popularity.

IT 96
article thumbnail

Master Dimensionality Reduction with these 5 Must-Know Applications of Singular Value Decomposition (SVD) in Data Science

Analytics Vidhya

Overview Singular Value Decomposition (SVD) is a common dimensionality reduction technique in data science We will discuss 5 must-know applications of SVD here and. The post Master Dimensionality Reduction with these 5 Must-Know Applications of Singular Value Decomposition (SVD) in Data Science appeared first on Analytics Vidhya.

article thumbnail

Big Data Makes Black Hat Hackers More Terrifying Than Ever

Smart Data Collective

Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Hackers are also exploiting this technology, which means that there is a virtual arms race between cybersecurity companies and black hat cybercriminals. Datanami has talked about the ways that hackers use big data to coordinate attacks.

article thumbnail

Lagrange multipliers with visualizations and code

KDnuggets

In this story, we’re going to take an aerial tour of optimization with Lagrange multipliers. When do we need them? Whenever we have an optimization problem with constraints.

article thumbnail

Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

article thumbnail

Dashboard Design Best Practices – 4 Key Principles

Sisense

Blog. Building an effective dashboard according to best practices for dashboard design is the culmination of a comprehensive BI process that would usually include gathering requirements, defining KPIs, and creating a data model. However, the importance of proper dashboard design should not be understated — poorly designed dashboards could fail to convey useful information and insights and even make the data less comprehensible than it was originally.

article thumbnail

Deep Learning Can Make a Difference

TDAN

Deep learning, as defined by MathWorks, is a system of artificial intelligence that is built around learning by example. Multiple industries have already understood the benefits that deep learning brings to their operational capabilities. Deep learning is best demonstrated by the implementation of the technology in self-driving cars, as well as medical research to detect […].

article thumbnail

Insiders Cite The Wondrous Benefits Of Big Data In Fortnite

Smart Data Collective

Big data in the gaming industry has played a phenomenal role in the field. We have previously talked about the benefits of using big data by gaming providers that offer cash games, such as slots. However, more mainstream games use big data as well. Fortnite is one of the games that uses big data to offer great service to its customers. Even Forbes Tech Council has written about the benefits of data lakes in Fortnite.

article thumbnail

Deep Learning for NLP: ANNs, RNNs and LSTMs explained!

KDnuggets

Learn about Artificial Neural Networks, Deep Learning, Recurrent Neural Networks and LSTMs like never before and use NLP to build a Chatbot!

article thumbnail

Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

article thumbnail

The Many Faces of Data Relationships

Sisense

Blog. Many-to-many relationships can be complicated. Especially when it comes to the data in your tables. That is unless you understand the different scenarios, their resolutions, and how to build a good relationship with your data. Just as a general overview, let’s for a moment get right back to basics and remind ourselves of what we mean by the terms “database” and “relationship”.

Testing 75
article thumbnail

Performance Improvements in the Jet 20.3 Release

Jet Global

We’re over halfway through the year and you know what that means? It’s time for a new Jet Release! So, let’s get you up to speed on what you can expect to see when you update your Jet products to version 20.3 this August. In an effort to continuously evolve our reporting, business intelligence, and budgeting solutions, we always have our ear to the ground listening to customer feedback.

article thumbnail

Workers’ Compensation Platform Uses Big Data For Better Outcomes

Smart Data Collective

We have talked extensively about the fields that rely most heavily on big data. The insurance industry is one of the companies investing the most in big data technology. Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry. The report showed that insurers spent $2.4 billion on big data in 2018 alone.

article thumbnail

Feature selection by random search in Python

KDnuggets

Feature selection is one of the most important tasks in machine learning. Learn how to use a simple random search in Python to get good results in less time.

article thumbnail

Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

article thumbnail

Smart Analysis of Pharma Research Literature Makes Novel Therapy Identification Easier

Ontotext

In the wake of the Industrial Revolution in Victorian Britain, a doctor drew a map to prove that cholera wasn’t air-borne as it was believed at the time and became one of the fathers of modern epidemiology. During a cholera outbreak in Soho in London in 1854, Dr. John Snow – Queen Victoria’s anesthesiologist – created a map with the cholera deaths and identified a water pump as the common factor and the culprit for the deadly disease outbreak.

article thumbnail

How IBM Cloud Pak for Data System delivers rapid value to data-driven businesses

IBM Big Data Hub

IBM continues to increase support for open source technologies. Today, we are pleased to announce that Cloud Pak for Data System now features a new capability for Postgres workloads—the IBM Performance Server for PostgreSQL.

article thumbnail

James’ Notes from the Field

Decision Management Solutions

I’m in Asia for two weeks. Last week I had the privilege of catching up with marketing and operations leaders at a major local insurer. We built both a next best offer (NBO) solution and a claims handling solution for them. Both teams are self-sufficient, with multiple business people making changes to the decisioning system. Both teams are also continuing to improve their results.

article thumbnail

Coding Random Forests in 100 lines of code*

KDnuggets

There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics; however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks.

article thumbnail

The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.