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The Connected Enterprise Holds The Keys To The King[CX]dom


Navigating A Digital World. CCO Africa customer360

Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games

Analytics Vidhya

Overview Game Theory can be incredibly helpful for decision making in competitive scenarios Understand the concept of Normal Form Games in the context of. The post Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games appeared first on Analytics Vidhya.

[eBook] The top 7 key performance indicators for mid-market CEOs and executives


Data and analytics have never been more important for mid-market CEOs and executives to set the course for their businesses. Data is key to transformation in a business. The true value of your data is how your people use data insights and how it impacts decision-making.

Top 10 Analytics And Business Intelligence Buzzwords For 2020


Business intelligence has undergone many changes in the last decade. Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward.

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.

Open-Source Datasets: Considerations For Machine Learning


A World Economic Forum study estimates that by 2020, the digital world will increase to 44 zettabytes of data. That number is continually increasing as more people and devices are connected to the Internet.

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6 Powerful Feature Engineering Techniques For Time Series Data (using Python)

Analytics Vidhya

Overview Feature engineering is a skill every data scientist should know how to perform, especially in the case of time series We’ll discuss 6. The post 6 Powerful Feature Engineering Techniques For Time Series Data (using Python) appeared first on Analytics Vidhya.

How to use BI to gain competitive advantage in business


In today’s economy, many businesses find themselves in competition with online retailers and large corporations that are able to offer reduced prices.

Is Artificial Intelligence Revolutionizing Environmental Health?

Simply Statistics

NOTE: This post was written by Kevin Elliott, Michigan State University; Nicole Kleinstreuer, National Institutes of Health; Patrick McMullen, ScitoVation; Gary Miller, Columbia University; Bhramar Mukherjee, University of Michigan; Roger D. Peng, Johns Hopkins University; Melissa Perry, The George Washington University; Reza Rasoulpour, Corteva Agriscience, and Elizabeth Boyle, National Academies of Sciences, Engineering, and Medicine.

How to Ensure Trust in a Digital World


We have a trust issue. In our digital world, it has become increasingly difficult to trust each other. Whether it is another person, an organisation or a device, trust is no longer a given online. This is a serious problem for our society and our democracy.

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?"

Crafting Seamless Digital Experiences for a Connected Generation - The Connected Enterprise Holds The Keys To The King[CX]dom


CCO Africa

Image Augmentation for Deep Learning using PyTorch – Feature Engineering for Images

Analytics Vidhya

Overview Image augmentation is a super effective concept when we don’t have enough data with us We can use image augmentation for deep learning. The post Image Augmentation for Deep Learning using PyTorch – Feature Engineering for Images appeared first on Analytics Vidhya.

Phocas vs. Sisense (visual BI solutions comparison)


Phocas and Sisense are vastly different products. A quick look at how each is positioned, and it’s clear that despite the fact they are often compared side-by-side, Sisense and Phocas are not interested in reaching the same customers.

Clickless Analytics = Simple Search Analytics!


Clickless Analytics with Natural Language Processing Search Analytics! We all understand the value and innovation inherent in natural language processing (NLP). Think about the ease of searching for the answer to a question on Google.

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.

5 Ways to Develop an Outstanding Cybersecurity Career


Risk 130

Data Cleaning Guide: Saving 80% of Your Time to Do Data Analysis


Why We Need Data Cleaning?. Data analysis is a time-consuming task, but are you prepared before the data analysis, and have you omitted the important step: data cleaning? From Google. In the process of data analysis, data cleaning is such a preliminary preparation after data extraction.

Create Natural Language Processing-based Apps for iOS in Minutes! (using Apple’s Core ML 3)

Analytics Vidhya

Overview Intrigued by Apple’s iOS apps? Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core. The post Create Natural Language Processing-based Apps for iOS in Minutes! using Apple’s Core ML 3) appeared first on Analytics Vidhya. Intermediate Libraries NLP Swift Technique Text Unstructured Data Word Embeddings AI applications Apple CoreML core ml 3 deep learning apple Natural language processing swift data science

Q&A Tuesday: Michael Shaub Discusses Ethics and Technology for Today’s CFO

Jet Global

Michael Schaub is an accounting professor at Texas A&M University specializing in accounting ethics and professional skepticism in auditors. He is a CPA and spent time as an auditor for a large public company before he began his academic career 30 years ago.

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.

A Giant Step Forward in Alternative Data Usage for US Financial Services


Approximately 26 million Americans have no credit history with a national credit agency, according to the Consumer Financial Protection Bureau (CFPB). This creates a tremendous barrier to accessing credit.

5 Ways Small Businesses Can Maximize the Benefits of Automation


Owning a small business is challenging; between the government regulations, your competitors, and dealing with externals like the economy, it’s a wonder anyone manages to survive the experience.

Our Top 20 Most-Read Data and Analytics Research Last Week (to Dec 8)

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 Stories, Dec 2-8: How to Speed up Pandas by 4x with one line of code; 10 Free Top Notch Machine Learning Courses


Also: Data Science Curriculum Roadmap; Enabling the Deep Learning Revolution; The Essential Toolbox for Data Cleaning; A Non-Technical Reading List for Data Science; The Future of Careers in Data Science & Analysis. 2019 Dec Top Stories, Tweets Top stories

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.

What Will Keep 97% of CFOs Awake Tonight?

Jet Global

Only about three percent of CFOs will sleep well tonight, leaving the other 97 percent tossing and turning. It has nothing to do with a lumpy mattress and everything to do with their financial reporting process.

Cloud Data Science News in 60, Beta #5

Data Science 101

In case you don’t have time or the patience to read the entire post, Cloud Data Science News – Beta #5 ; you can watch the quick 60 second overview. Tons of machine learning news out of Amazon AWS. If you would like to get the updates as a weekly email, you sign up for the Newsletter.

AI is the Key to Unlocking Massive Business Growth in 2020


Artificial intelligence is making a major impact on the future of business. In order to understand the benefits of AI in the world of business, it can be good to look at the historical context of AI technology. Business Owners Set Aside Skepticism of AI.

The Madness of Data (and analytics) Governance

Andrew White

One of my client inquiries Friday repeated a sad refrain I hear all too often. In this case it was a public sector agency.

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.

DeepMind Unveils MuZero, a New Agent that Mastered Chess, Shogi, Atari and Go Without Knowing the Rules


The new model showed great improvements over the previous AlphaZero agent. 2019 Dec Opinions Agents AlphaGo Atari Chess DeepMind Reinforcement Learning Video Games

Going Beyond NetSuite Saved Searches to Meet Financial Reporting Needs

Jet Global

Compared to the information retrieval tools available in most other ERPs, NetSuite’s Saved Searches feature offers a lot to like. It’s intuitive to use, tracks down information quickly, and returns precise results.

3 Programming concepts for Data Scientists


Algorithms are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same. Many companies ask data structures and algorithms as part of their interview process for hiring data scientists.