Wed.Oct 16, 2019

How to Perfect Your Data Culture Recipe

Corinium

One of the first questions new clients generally ask us is: “How do we maximize the value from our data?”. Data Strategy

A Comprehensive Guide to Learn Swift from Scratch for Data Science

Analytics Vidhya

Overview Swift is quickly becoming one of the most powerful and effective languages for data science Swift is quite similar to Python so you’ll. The post A Comprehensive Guide to Learn Swift from Scratch for Data Science appeared first on Analytics Vidhya.

The 5 Classification Evaluation Metrics Every Data Scientist Must Know

KDnuggets

This post is about various evaluation metrics and how and when to use them. 2019 Oct Tutorials, Overviews Data Scientist Machine Learning Metrics Python

Interview: AI Fun Begins After Data Engineering

DataFloq

SAS announced a $1 Billion investment in AI a few months ago. We sat down with Iain Brown, Head of Data Science at SAS to discuss the challenges and opportunities of AI in enterprises.

Encouraging Innovation in an Established Product Culture

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

How to Become a (Good) Data Scientist – Beginner Guide

KDnuggets

A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning. 2019 Oct Opinions Beginner BI Data Scientist Sciforce Statistics

How Artificial Intelligence(AI) Will Impact Your Life in the 2020s

DataFloq

As technology advances, more AI designs are expected. In the 2020s, we are bound to feel the AI-driven changes in the way we live and interact with the world. AI is expected to play a significant role in changing our lives in many ways. AI Will Improve Your Health and Life Expectancy.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to Oct 13)

Andrew White

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc.

Top KDnuggets tweets, Oct 09-15: #DeepLearning for Natural Language Processing (#NLP) using RNNs & CNNs #KDN Post

KDnuggets

Also: Kannada-MNIST: A new handwritten digits dataset in ML town; Math for Programmers; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; The Last SQL Guide for Data Analysis You’ll Ever Need. 2019 Oct Top Stories, Tweets Top tweets

How to Plan a Successful BI Project (and Manage it)

Sisense

Blog. A Three-Step Guide for BI Professionals.

KDnuggets™ News 19:n39, Oct 16: Key Ideas in Document Embedding; The problem with metrics is a big problem for AI

KDnuggets

This week on KDnuggets: Beyond Word Embedding: Key Ideas in Document Embedding; The problem with metrics is a big problem for AI; Activation maps for deep learning models in a few lines of code; There is No Such Thing as a Free Lunch; 8 Paths to Getting a Machine Learning Job Interview; and much, much more. KDnuggets 2019 Issues AI Data Science Deep Learning Interview Machine Learning Metrics NLP Word Embeddings

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.

PaymentsJournal: AI in Finance: The Predictions

Jet Global

Richard Sampson, SVP EMEA, insightsoftware. The term “AI” is being thrown around a lot lately, but realistically how will it change the world of finance? Firstly, “AI” is an awfully broad term, so understanding how it slots into the wider automation picture is important.

Challenges You’ll Face While Building Up Your Data Analytics Team

ScienceSoft

To grow and structure an in-house data analytics team is not always a safe choice. Our Head of Analytics Department shares an example of a typical company that chooses this option, as well as 3 main challenges that they are likely to face in the process

On Being Model-driven: Metrics and Monitoring

Domino Data Lab

This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. Many thanks to Don Miner for collaborating with Domino on this article.

How to Build a Free Cash Flow Dashboard, with Downloadable Template

Jet Global

Hundreds of different performance indicators exist, but fewer than 20 are considered absolutely essential. They have that designation because companies have discovered a direct correlation between the trajectory of these metrics and their own success or failure.

Embedding Operational Reports: Everything Product Managers Should Know

Speaker: Dean Yao, Sr. Director of Product Marketing, Logi Analytics

Businesses are run with analytics - but companies continue to struggle with interpreting, analyzing, and distributing data. Operational reports help get information to the people who need it most, in formats they understand, and in a timeframe that matters. Join the webinar to learn how embedding operational reports can give your users a precisely formatted, ready-to-analyze view of their operational activities. World-class software teams are embedding operational reports to empower end users with interactive data visualizations, detailed information, and highly precise formats that can be shared via email, PDF, print, or online.

What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Business intelligence definition. Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps to provide users with detailed intelligence about the state of the business.

Metadata Archiving with Snowflake

Sirius Computer Solutions

The importance of metadata. Metadata is best defined as data that characterizes data. When you query a database, it returns a specific piece of information. Metadata provides the who, what, where, when, why and how of that information.

Emirates NBD: Enabling digital transformation, delivering innovation, and a more personalized customer experience

Cloudera

The financial services industry has been making successful strides to digitally transform their business, making more personalized offerings while still keeping the customer experience in clear sight. Consumers want access anywhere, anytime, and answers fast.