Sat.Aug 31, 2019 - Fri.Sep 06, 2019

The Data-Centric Revolution: Toss Out Metadata That Does Not Bring Joy

TDAN

As I write this, I can almost hear you wail “No, no, we don’t have too much metadata, we don’t have nearly enough! We have several projects in flight to expand our use of metadata.” Sorry, I’m going to have to disagree with you there. You are on a fool’s errand that will just provide […].

Make Sure You Know The Difference Between Strategic, Analytical, Operational And Tactical Dashboards

datapine

The secret is out, and has been for a while: In order to remain competitive, businesses of all sizes, from startup to enterprise, need business intelligence (BI).

The Consequence of Valuing Data

Andrew White

For years theorists, economists, and even tech-evangelists, have all been arguing over the value of data. Notwithstanding the hype, even the Economist in 2017 suggested in a leader article that data was the new oil. Gartner has been writing about ‘data as an asset’ for years.

Intelligent Resilience

Perficient Data & Analytics

The Resilience of your Intelligence. Regardless of what department or area you work in it is critical that your company is set up to handle storms and disasters that may come.

The Evolving Role of the CDO and CAO

Speaker: Ash Dhupar (CAO), Ben Donlon (CAO), Chris Hutchins (CDAO), Larry Shiller (CDO)

What is the point of a Chief Data/Analytics Officer? If you're in one of the many fields currently adopting this role, you've almost certainly heard this question; maybe you're in the process of answering it within your company. Join us and a panel of c-suite data and analytics professionals for hard-earned insights into what the CAO, CDO, and CDAO roles entail - and how you can create and move into these roles within your organization, if they aren't already there.

Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills!

Analytics Vidhya

Overview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects on. The post Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills! appeared first on Analytics Vidhya.

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Phocas BI tool proves its value for manufacturers, wholesalers

Phocas

The following article is reproduced from TechTarget , a respected tech news website which provides independent content and analysis. The article highlights how Phocas has built trust and a strong reputation with leaders and IT managers in manufacturing, wholesale and retail.

How the Internet of Things (IoT) Can be Used to Build Smart Cities?

DataFloq

The world’s population is increasing at a tremendous pace. As per recent figures, almost 3.9 billion people are living in cities. By 2050, it is estimated that almost two-thirds of the world population will shift to urban areas.

Everything you Should Know about p-value from Scratch for Data Science

Analytics Vidhya

Overview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more. The post Everything you Should Know about p-value from Scratch for Data Science appeared first on Analytics Vidhya.

Using Automation to Cut Through the Clutter By Yellowfin

Corinium

Mobile BI should extend your ability to discover, collaborate, and act on insights and create an inclusive and effective data culture.

Assessing and Fostering a Culture of Innovation

Speaker: Magnus Penker, CEO & Founder, Innovation360 Group

Welcome to an interactive empowering session on how to sharpen your future through innovation management, which can help guide your company’s goals. During this webinar, Magnus Penker, international thought leader and author, will dive into how to assess and foster culture and capabilities for innovation.

How real-time dashboards keep managers on target

Phocas

An analytics dashboard is an essential business tool that provides insight into the performance of numerous business processes. Every department of a company has specific performance metrics that can be monitored to ensure the company is operating at peak performance.

How to Build a Big Data Solution on Azure

DataFloq

Azure has made a point of prioritizing AI and analytics services, making it an appealing option for many looking to combine big data analysis and the benefits of cloud computing.

Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model

Analytics Vidhya

Overview Learn how you can use computer vision and deep learning techniques to work with video data We will build our own video classification. The post Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model appeared first on Analytics Vidhya.

I wasn’t getting hired as a Data Scientist. So I sought data on who is.

KDnuggets

Instead of focusing on skills thought to be required of data scientists, we can look at what they have actually done before. 2019 Sep Opinions Career Career Advice Data Science Data Scientist

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?"

Semantic Search or Knowing Your Customers So Well, You Can Finish Their Sentences For Them

Ontotext

My great grandparents were married for more than sixty years. They had a telepathy that comes from living together that long. They could finish each other’s sentences or anticipate when one wanted a coffee or lunch. An exchange could go like this. Remember those figs?’ Grandma said.

Statistical Methods and Machine Learning Algorithms for Data Scientists

DataFloq

The mining of useful data from big data sets is done by professional big data analysts. There are statistical methods and machine learning algorithms for data scientists which help them provide training to computers to find information with minimum programming.

Feature Engineering for Images: A Valuable Introduction to the HOG Feature Descriptor

Analytics Vidhya

Overview Learn the inner workings and math behind the HOG feature descriptor The HOG feature descriptor is used in computer vision popularly for object. The post Feature Engineering for Images: A Valuable Introduction to the HOG Feature Descriptor appeared first on Analytics Vidhya.

Advice on building a machine learning career and reading research papers by Prof. Andrew Ng

KDnuggets

This blog summarizes the career advice/reading research papers lecture in the CS230 Deep learning course by Stanford University on YouTube, and includes advice from Andrew Ng on how to read research papers. 2019 Sep Opinions Andrew Ng Career Machine Learning Research

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.

Delivering Better Dashboards with Analytic Quality Assurance

Tamr

Great analytic dashboards require great data. This places a heavy burden on analytic developers, who are rarely given perfect data that aligns with their users’ expectations. Data variety makes it challenging to easily assess if data is fit for consumption.

Data Cleaning and Preprocessing for Beginners

DataFloq

When our team’s project scored first in the text subtask of this year’s CALL Shared Task challenge, one of the key components of our success was careful preparation and cleaning of data. Data cleaning and preparation is the most critical first step in any AI project.

Data Scientists, The 5 Graph Algorithms that you should know

MLWhiz

We as data scientists have gotten quite comfortable with Pandas or SQL or any other relational database. We are used to seeing our users in rows with their attributes as columns. But does the real world really behave like that? In a connected world, users cannot be considered as independent entities.

Automated Machine Learning: Just How Much?

KDnuggets

This is an interview between Rosaria Silipo and data scientists Paolo Tamagnini, Simon Schmid and Christian Dietz, asking a few questions on the topic of automated machine learning from their point of view, and some interesting examples of its practical use.

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.

5G Roadmap: Preparing Your Enterprise Architecture

erwin

Why planning your 5G roadmap requires significant input from enterprise architects. 5G is coming and bringing with it the promise to transform any industry. And while the focus has been on the benefits to consumers, the effects on the enterprise are far- reaching.

What Tools Should a Good Analyst have in Their Toolbox? (part 2 = people skills)

DataFloq

Continuing Martin Squires series on the tools that should be in a good analyst toolbox. In part 2, Martin moves on to focus on the people skills that are needed. I use the term people skills for a couple of reasons. Firstly, there has been some online outrage at the overuse of the term Softer Skills.

Science is Interesting: The Human Brain Project

Perficient Data & Analytics

Have you heard about the Human Brain Project? It is one of the largest funded projects to build a super computer that will replicate the molecular architecture of the human brain.

Python Libraries for Interpretable Machine Learning

KDnuggets

In the following post, I am going to give a brief guide to four of the most established packages for interpreting and explaining machine learning models. 2019 Sep Tutorials, Overviews Bias Interpretability LIME Machine Learning Python SHAP

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.

IDC report names IBM the #1 market leader in AI

IBM Big Data Hub

Among organizations investing in AI hardware, software or services, more will buy IBM and rely on Watson than any other vendor. This according to a new IDC report which names IBM as 2018’s market leader in AI. So just what sets apart IBM as leader of the AI provider pack

Artificial Versus Human Intelligence: Learning Solutions In The Global Digital Economy

DataFloq

The digital economy has risen to prominence in discourse amongst think tanks, researchers and corporations, and has climbed to the top of government and business agenda.

The Role of Big Data In The Promotion of eLearning Courses

Smart Data Collective

We have talked extensively about the role of big data in marketing in previous articles. However, most of our articles relate to the use of big data with traditional marketing channels, including older digital marketing outlets. There are a number of new channels that use big data as well.