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

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

Corinium

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

Phocas

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.

Open-Source Datasets: Considerations For Machine Learning

DataFloq

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.

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.

Laying the Foundations for AI Success

Corinium

AI is now well into its ‘early adoption’ phase, with businesses throughout the Middle East and Africa clamoring to launch new initiatives. AI & Machine Learning

More Trending

Clickless Analytics = Simple Search Analytics!

Smarten

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.

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

FineReport

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.

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.

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

Cloudera

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.

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?"

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

KDnuggets

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

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.

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 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.

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

KDnuggets

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

MLWhiz

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.

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.

2020 MLB Free Agency Predictions

DataRobot

This blog provides a unique take on using machine learning to predict free agent signings in the off-season. MLB’s Hot Stove season has begun and several big contracts have already been handed out to Zack Wheeler, Yasmani Grandal, Will Smith, and more.

5 Great New Features in Latest Scikit-learn Release

KDnuggets

From not sweating missing values, to determining feature importance for any estimator, to support for stacking, and a new plotting API, here are 5 new features of the latest release of Scikit-learn which deserve your attention. 2019 Dec Tutorials, Overviews Data Preparation Data Preprocessing Ensemble Methods Feature Selection Gradient Boosting K-nearest neighbors Machine Learning Missing Values Python scikit-learn Visualization

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2020: The Year of the Automated Business Glossary

Octopai

According to the Chinese Zodiac, 2020 is the year of the rat. Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere.

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A Conversations with Ásgeir Gunnarsson about Power BI in the Enterprise

Paul Turley

As I continue to explore and develop best practices for managing serious business-scale Power BI solutions, I'm having conversations with recognized community leaders. Last month I chatted with Ásgeir Gunnarsson on the SQL Train ride from Portland to PASS Summit in Seattle. Ásgeir is a data platform MVP and seasoned Business Intelligence expert from Reykjavik, Iceland who works as Chief Consultant for Datheos, a Microsoft-focused BI and Analytics consultancy in Copenhagen.

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.

Pharmaceutical Industry As The Next Frontier For Data-Driven Leadership

Bruno Aziza

Pharmaceutical Industry Faces Opportunity for Data-Driven Transformation

The 4 Hottest Trends in Data Science for 2020

KDnuggets

The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020. 2019 Dec Opinions 2020 Predictions Automated Data Science AutoML Cloud Computing Data Science NLP Privacy Security Trends

Blockchain Expo Recap: What’s Buzzing in Blockchain?

Sirius Computer Solutions

Blockchain conferences used to focus on cryptocurrency, disruption and hackathons. However, recent attendance at the Blockchain Expo North America showed a significant shift in the blockchain landscape. There is now less focus on cryptocurrency and more on achievable business value.

IoT 52

The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

Three reasons why confidence intervals should not be used in financial data analyses.

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.

2020 Predictions: AI, Disinformation, and Human Augmentation

Bruno Aziza

Ten years ago, I invited the community to envision the future of Data, AI and Analytics. From Paris, I asked: what could the world of AI, Data and Analytics look like by 2020?! This past month, I drove down to Silicon Valley’s Computer History Museum and asked again

Moving Predictive Maintenance from Theory to Practice

KDnuggets

Here are four common hurdles that need to be overcome before tapping into the benefits of predictive maintenance. 2019 Dec Opinions Deployment Machine Learning MathWorks MATLAB Predictive Maintenance Simulation

Data Science Fails: If It Looks Too Good To Be True

DataRobot

You’ve probably seen amazing AI news headlines such as: AI can predict earthquakes. Using just a single heartbeat, an AI achieved 100% accuracy predicting congestive heart failure. A new marketing model is promising to increase the response rate tenfold. It all seems too good to be true.