Sat.Sep 07, 2019 - Fri.Sep 13, 2019

13 Analytics & Business Intelligence Examples Illustrating The Value of BI


Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success.

There is No Free Lunch in Data Science


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. 2019 Sep Opinions Data Science Machine Learning Optimization

A Data Scientist’s Guide to 8 Types of Sampling Techniques

Analytics Vidhya

Overview Sampling is a popular statistical concept – learn how it works in this article We will also talk about eight different types of. The post A Data Scientist’s Guide to 8 Types of Sampling Techniques appeared first on Analytics Vidhya. Statistics Descriptive statistics different kinds of sampling Inferential Statistics random sampling Sampling statistics

Artificial Intelligence in Future and Present


One of the most cherished dreams?—?and and fears?—?of of today is penetration of Artificial Intelligence in all aspects of our life. Books and movies about wars with robots, artificial masterminds and the forever changed Earth emerge every year to stir our imagination.

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.

Interview with: Nadeem Asghar and Cindy Maike at Cloudera


Tell us about your experience in working with the data analytics community at Cloudera? Why do you like working in this space? Data Analytics Interview Insights

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Become a Video Analysis Expert: A Simple Approach to Automatically Generating Highlights using Python

Analytics Vidhya

Overview Build your own highlights package in Python using a simple approach That’s right – learn how automatic highlight generation works without using machine.

5 ways Data Analytics is a Game Changer for the Insurance Industry


We are in the age of ‘Big Data’ and while it is becoming a big business in the emerging technological world, let us understand and get a deeper insight on what Data Analysis basically is. .

Interview with: Dr. Mike Kim, CTO and Co-Founder of


Tell us about your experience in working with the data analytics community at Outlier? Why do you like working in this space? From the very beginning of Outlier, I have really enjoyed collaborating with others in the data analytics community. Data Analytics Interview Insights

Conversational Computing and More News from Oracle Analytics Summit 2019

David Menninger's Analyst Perspectives

The Oracle Analytics Summit 2019 was the inaugural user event for Oracle Analytics customers, and they also broadcast the video for thousands of others. You can watch the keynote at [link].

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?"

4 Key Aspects of a Data Science Project Every Data Scientist and Leader Should Know

Analytics Vidhya

Overview A data-science-driven product consists of multiple aspects every leader needs to be aware of Machine learning algorithms are one part of a whole. The post 4 Key Aspects of a Data Science Project Every Data Scientist and Leader Should Know appeared first on Analytics Vidhya.

The Fuzzy Line Between Good and Evil Data Science


The vast majority of people building analytics and data science processes have every intention of being good and ethical. As a result, most potentially unethical and evil processes arise in situations where that wasn’t the intention.

How IT Managers can slash reporting times


The IT manager is often burdened with ad hoc report requests and solving organizational data challenges. These tasks take you away from important jobs like improving the business by adding or upgrading systems or driving efficiencies with your tech stack. Job Role - IT

Many Heads Are Better Than One: The Case For Ensemble Learning


While ensembling techniques are notoriously hard to set up, operate, and explain, with the latest modeling, explainability and monitoring tools, they can produce more accurate and stable predictions. And better predictions can be better for business.

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.

WNS Analytics Wizard 2019: Top 3 Winners’ Solutions from our Biggest Data Science Hackathon

Analytics Vidhya

Overview Here’s a unique data science challenge we don’t come across often – a marketing analytics hackathon! We bring you the top 3 inspiring. The post WNS Analytics Wizard 2019: Top 3 Winners’ Solutions from our Biggest Data Science Hackathon appeared first on Analytics Vidhya. Analytics Vidhya Data Science data science hackathon datahack Hackathon hackathon solutions marketing analytics hackathon marketing hackathon

How Can Artificial Intelligence Help in Business?


Business intelligence meets Artificial Intelligence. Ask someone what springs to mind when they hear the words AI or Business Artificial Intelligence, and the first thing they might mention is a young Haley Joel Osment in the film version of AI.

Natural Language in Python using spaCy: An Introduction

Domino Data Lab

This article provides a brief introduction to natural language using spaCy and related libraries in Python. The complementary Domino project is also available. Introduction.

Version Control for Data Science: Tracking Machine Learning Models and Datasets


I am a Git god, why do I need another version control system for Machine Learning Projects? 2019 Sep Tutorials, Overviews Data Science Datasets Machine Learning Modeling

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.

The Role of Big Data In The Maintenance Industry

Smart Data Collective

As industry buzzwords, “Big Data” is one of those phrases that has become seemingly ubiquitous. Everyone wants to be using big data to better their operation. The maintenance department is no exception to this trend.

3 Ways to Support the Shift Towards Cloud-Based Systems in Digital Transformation


Cloud-based systems are becoming an integral part of digital transformation and data utilization for companies of all shapes and sizes. These systems allow for faster development and deployment, as well as increased revenue and reduced operating costs.

Moving to an Agile “New” Big Data Paradigm

Perficient Data & Analytics

A few years ago, I was in the middle of getting together a conceptual architectural document for a project that required very agile methodologies based on microservices and cross- functional teams.

Classification vs Prediction


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.

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.

5 Reasons Why You Should Store Big Data In The Cloud

Smart Data Collective

Gone are the days when storage of information can only be done with the traditional remote servers which are located in a secluded location. Today, the in-thing is cloud data storage where information and data are stored electronically online.

Descriptive Statistics in Python for Understanding Your Machine Learning Data


Statistics has its own significance in data science, but it’s not the only thing which data scientists have to deal with. Statistics are of two kinds – Bayesian and Classical.

Driving Data

Perficient Data & Analytics

Stuck In Rush Hour. A few days ago I was driving home from Atlanta during rush hour and my phone died. All I could see in front of me were brake lights and red lights. Not a huge deal, I knew where I wanted to go and I knew how to get there.

Train sklearn 100x Faster


As compute gets cheaper and time to market for machine learning solutions becomes more critical, we’ve explored options for speeding up model training. One of those solutions is to combine elements from Spark and scikit-learn into our own hybrid solution.

Buyer’s Guide for Embedded Analytics

Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.

How Big Data Is Transforming Social Media Marketing

Smart Data Collective

Big Data is among one of the most impressive tech advancements that have hit the marketing world in recent memory. While it has been tossed around as a buzzword in certain circles, Big Data is so much more than just a phrase.

Smart & Reliable Transport Systems Based on the Internet of Things


No doubt, the Internet of Things (IoT) has brought a significant change in how we live, commute, and how we perform our daily activities through automated intelligence and fast connectivity. Travelers can book a schedule on their smartphones to plan their trip right from their house.

Cambridge Analytica: Recommendations on Data Ethics

Perficient Data & Analytics

Before going deep into Data Ethics, I would highly recommend watching the documentary The Great Hack on Netflix which summarizes Cambridge Analytica’s involvement in the largest Data Ethics issue and how it played a role in Brexit, the Trump Campaign, the Cruz Campaign, and others.