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.

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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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Democratizing Data Science Is Not As Risky As Many Fear

DataFloq

The role of Citizen Data Scientist has been showing rapid growth, though not without some controversy. Many people are concerned that democratizing data science is about giving people capabilities way beyond what they are ready to handle and, therefore, ensuring disasters as a result.

More Trending

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.

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.

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?"

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.

Blockchain’s Shocking Impact on the Restaurant Supply Industry

DataFloq

Blockchain has already changed many markets, and there are many good reasons to believe that we’re only seeing the tip of the iceberg too. We’re already seeing the impacts of the technology in various sectors, including some that came as a bit of a surprise.

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.

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.

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

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 Tactile Internet?—?a New IoT?

DataFloq

The progress is constantly speeding up and the future is at our door?—?it it is something that everyone keeps repeating even not thinking much of this future. But if you start thinking, you find evidence to this in every tool, in every method and technique present in all spheres of life.

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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.

Top Use Cases for Enterprise Architecture: Architect Everything

erwin

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. As enterprise architecture has evolved, so to have the use cases for enterprise architecture.

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

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 Cloud and Artificial Intelligence Help Modernize ERP

DataFloq

Digital transformation is around every corner in this world. Every company and user is following it to stay ahead among the competitors, get new opportunities, get introduced to the new markets and visualize how they do business.

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.

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.

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

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.

Is Google's Go All Set to take over Python for Analytics

DataFloq

When Guido van Rossum developed Python in the 1980s, seldom did he know that it would become the world's most widely used programming language. More than 8 million developers today, use Python as their primary development language.

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.

Make Your Data Relatable

Juice Analytics

I’m a big admirer of Nancy Duarte and her new book DataStory. One thing that Nancy knows is that data communication isn’t just about data visualization — any more than a movie is just about moving images.

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

Potholes in your Roadmap and How to Fill Them

Speaker: Hope Gurion, Product Coach and Advisor

As a Product Manager, prioritizing work on your roadmap is an important part of your role. To answer roadmap questions, you're probably familiar with frameworks like RICE and Cost of Delay. But products are built by people, and people are messy - unlike these frameworks. Hope Gurion, Product Coach and Adviser, has identified potholes in your roadmap that are preventing you from planning as best as you can. She'll take you through all the opportunities to improve your organization's relationship to its roadmap that you may have missed along the way.