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

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. Stephen Covey once wrote a famous list about trust – The 13 behaviors of a high trust leader.

Are you treating your data as an asset?

Phocas

While most executives understand that their data is an asset, many haven’t harnessed the valuable insights accessible with a data analytics solution. The immense amount of data you generate may seem impossible to understand, but data analytics will transform it into clear, actionable information.

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.

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

erwin

A data catalog benefits organizations in a myriad of ways.

Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you. Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.

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

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The Most Important Step Toward Ethical Analytics: Intentionality

DataFloq

Lately, I’ve had a lot of conversations with clients about the intersection of ethics and analytics. I’ve also been presenting on the topic at a number of conferences. The interest in ethics has exploded recently, driven in large part by the rise of artificial intelligence.

Risk 192

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 5 Feature Selection Algorithms every Data Scientist should know

MLWhiz

Data Science is the study of algorithms. I grapple through with many algorithms on a day to day basis, so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series.

The first are the last, its technology’s turn for digital transformation

Mark McDonald

It’s a paradox that technology service providers are among the last companies going through digital transformation. The firms that gave us the technology to create the digital world are facing the need to transform themselves.

What Is (and Isn’t) Product Management?

Speaker: Steve Johnson, VP of Products, Pragmatic Institute

Product Management is one of the most exciting - and most misunderstood - functions in technical organizations. Is it strategic or tactical? Is it a planning role or a support role? Many product professionals are unclear about what is (and isn't) product management. After all, product management spans many activities from business planning to market readiness. In this session, we’ll examine many product activities and artifacts for product strategy, planning, and growth, and introduce a simple tool that you can use in your organization to clarify the roles of product management and others. Steve Johnson explores the many roles of Product Management in this fun talk focused on why product managers should obsess on problems instead of solutions.

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.

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. Data Science Africa

Risk 195

A Layman’s Guide to Data Science: How to Become a (Good) Data Scientist

DataFloq

How simple is Data Science? Sometimes when you hear data scientists shoot a dozen of algorithms while discussing their experiments or go into details of Tensorflow usage you might think that there is no way a layman can master Data Science.

Midway Dental uses data to take advantage of industry growth

Phocas

Midway Dental is a second-generation company and the fastest-growing full-service dental supply company in the United States. This growth has come from the consolidation of the industry and Midway supplying much larger customers.

Dresner Advisory Services’ 2019 Wisdom of Crowds Data Catalog Market Study

The 3rd annual Dresner 2019 Wisdom of Crowds® Data Catalog Market Study explores the strong link between data catalogs and successful BI usage. Learn about the core set of capabilities that make data catalogs critical for self-service analytics.

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.

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.

How Companies Are Using Big Data to Boost Sales

DataFloq

Big data has already revolutionized several businesses across the globe. Big data technologies have been helping marketing and sales professionals better define products and services and managing sales network.

Sales 230

5 important characteristics of an effective KPI

Phocas

For a growing business to remain competitive, it’s important to regularly track how its company-wide goals are progressing. Setting key performance indicators (KPIs) is one of the easiest ways to do this. Strategy, Management and Performance Job Role - Executive

KPI 142

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

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.

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.

Blockchain in Digital Marketing: Transparency, Targeting and Consumer Control

DataFloq

When somebody talks about blockchain, most of us usually think about Bitcoin or cryptocurrencies in general. It is only natural – after all, this technology lies at their foundation.

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.

Your 2-Part Metrics Audit for High-Value Products

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.

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.

Dashboard Design Best Practices – 4 Key Principles

Sisense

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.

Self-Driving Cars & Cybersecurity: Will They Be Safe Enough?

DataFloq

Consumers and politicians alike have been watching advancements in autonomous vehicles with bated breath. With cutting-edge technology like blockchain advancements and AI finding its way into vehicles at a rapid pace, safety concerns are at the forefront of public discourse.

Risk 165

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. 2019 Aug Tutorials, Overviews Anomaly Detection Benford's Law Fraud Detection

Measure the Immeasurable: Beyond Vanity Metrics

Speaker: Sari Harrison, Product Management Instructor, Product School

As a product manager, it's your job to realize your product’s vision by executing your chosen strategy. It’s also your job to deliver value to the business. Ultimately, these two outcomes are aligned so the temptation is to focus primarily on business metrics. Doing this can cause you to lose focus on the real value you are trying to achieve, in favor of moving the vanity metrics such as launches and time spent. Join Sari Harrison, Product Management Instructor at Product School, as she explains how to use immeasurable success criteria along with your more standard KPIs to deliver products that don't just get used a lot, but deliver real value.

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.

An Integrated Approach to Tackling Financial Institutions’ Data Challenges

Tamr

This is a guest post from Yannick De Ceulaer, Senior Financial Controller at Arrayo.

US Netizens are Vulnerable than Ever - Is It Time to take Cyber Security Serious?

DataFloq

I have been in this career for more than 10 years now, and it seems like we still are at square one. It was back in 1970-1995 when Kevin Mitnick had an advantage since he was a groundbreaking hacker before the little script kids that are now surfacing up the scene.

IT 160