Sat.Oct 12, 2019 - Fri.Oct 18, 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

3 Concepts Defining the Future of Work: Data, Decentralisation and Automation

DataFloq

The organisation of tomorrow will look fundamentally different than today's organisation. Those enterprises that are aware of the upcoming changes can best prepare and achieve competitive advantage in a data-driven society.

Top 10 Management Reporting Best Practices To Create Effective Reports

datapine

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. But, these reports are only as useful as the work that goes into preparing and presenting them.

Mathematics behind Machine Learning – The Core Concepts you Need to Know

Analytics Vidhya

Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including. The post Mathematics behind Machine Learning – The Core Concepts you Need to Know appeared first on Analytics Vidhya. Machine Learning

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.

Trust No One

Corinium

I’ve spent the last few months chatting with all manner of information security professionals in developing my next agenda. Over the next few weeks, I’ll be dig a little into some of the topics and themes brought up during this research period, and share some uninitiated yet sanguine opinions.

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The Ultimate Source of Differentiation: Rare Data

Andrew White

A debate resurfaced in our team recently as we were discussing plans for research topics next year. I am not actually sure why we do such things; the ‘year’ is an artificial thing we created to organize certain activities.

Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code)

Analytics Vidhya

Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia. The post Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code) appeared first on Analytics Vidhya. NLP Python dependency trees graphs Natural language processing Natural Language Understanding Part of Speech python spaCy text data unstructured data

Broadcast Media is Finally Embracing AI

Corinium

Netflix’s recommendation engine may have made waves when the company’s streaming platform launched in 2010. But in the years that followed, the broadcast industry was surprisingly slow to adopt other AI or machine learning (ML) technologies. AI & Machine Learning

Customer Value Analytics for retaining Profitable Customers

Phocas

Usually a small percentage of customers drive the majority of a company’s profits. Upon closer inspection, companies find that customers who generate a lot of cash flow cost more to service per transaction.

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?"

Three Things to Know About Reinforcement Learning

KDnuggets

As an engineer, scientist, or researcher, you may want to take advantage of this new and growing technology, but where do you start? The best place to begin is to understand what the concept is, how to implement it, and whether it’s the right approach for a given problem.

Build your First Linear Regression Model in Qlik Sense

Analytics Vidhya

Overview Qlik is widely associated with powerful dashboards and business intelligence reports Did you know that you can use the power of Qlik to. The post Build your First Linear Regression Model in Qlik Sense appeared first on Analytics Vidhya.

Approaching an Artificial Intelligence (AI) Strategy while Accounting for Bias

Corinium

Approaching an Artificial Intelligence (AI) Strategy while Accounting for Bias. Datacon Africa DataCon Africa Insights

Simple data discovery for distributors

Phocas

Industry-specific data analytics technology has advanced exponentially over the last decade. Before the development of analytics software, data management relied on manual input. Purchase orders were received in person, over the phone, or by way of fax or email.

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.

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

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.

Data to the people – Why this app will change the way more people engage with data - By Yellowfin

Corinium

The answer to creating an inclusive data culture is in your hands. At Yellowfin, we firmly believe that organisations are far more successful when all their people engage with data.

How to avoid and eliminate dead stock

Phocas

Many companies have experienced a dead stock "graveyard" of products that can no longer be sold. Dead stock reduces cash flow that could be used to purchase new revenue-generating stock. It also takes up precious warehouse space that profitable products could occupy.

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.

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.

An Overview of Density Estimation

KDnuggets

Density estimation is estimating the probability density function of the population from the sample. This post examines and compares a number of approaches to density estimation. 2019 Oct Tutorials, Overviews Generative Adversarial Network Probability Statistics

How DataOps Improves Collaboration and Iteration

Tamr

Your customers live in an “Amazon World”: they expect data and analytic insights, delivered in a neat package as quickly as possible.

Big Data Skill sets that Software Developers will Need in 2020

Smart Data Collective

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends.

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.

The Importance of Big Data for Environmental Compliance

DataFloq

For high-tech companies, data has always been one of the most valuable assets. Today, we generate more information than ever before — 2.5 quintillion bytes of data every single day.

Choosing a Machine Learning Model

KDnuggets

Selecting the perfect machine learning model is part art and part science. Learn how to review multiple models and pick the best in both competitive and real-world applications. 2019 Oct Opinions Interpretability Kaggle Machine Learning

Unlock Curiosity to Empower Your Organization with Domo

Perficient Data & Analytics

What killed the cat? When I was growing up I’d occasionally hear the phrase “curiosity killed the cat” when I’d ask too many questions. I haven’t heard that phrase in a long time, and I’m pretty sure chasing that mouse into the street is what killed the cat.

There are Many Advantages of Advanced Analytics!

Smarten

Enjoy the Benefits of Advanced Analytics with Augmented Analytics Support!

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.

CCPA vs GDPR: What Do Companies Need to Know?

DataFloq

The GPPR or the General Data Protection Regulation was introduced to reform data protection for its citizens across the European Union. It went into effect last year and has been making headlines ever since. .

Top 7 Things I Learned on my Data Science Masters

KDnuggets

Even though I’m still in my studies, here’s a list of the most important things I’ve learned (as of yet). 2019 Oct Opinions Data Science Data Science Education Tips

Improving Big Data Analytics To Address Cybersecurity Challenges

Smart Data Collective

Advances in mass storage and mobile computing brought about the phenomenon we now know as “big data.” These developments then ushered in solutions and tools that can process vast amounts of information — think terabytes of it or more — in real-time.