Sat.Nov 09, 2019 - Fri.Nov 15, 2019

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On the sensationalism of artificial intelligence news

KDnuggets

With artificial intelligence and machine learning now a mainstay of our daily awareness, news organizations have been seen to overstate the reality behind progress in the field. Learn more about recent examples of media hyperbole and explore why this may be happening.

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Game (Theory) for AI? An Illustrated Guide for Everyone

Analytics Vidhya

Overview What is Game Theory? And how does it apply to artificial intelligence (AI)? Game theory for AI is a fascinating concept that we. The post Game (Theory) for AI? An Illustrated Guide for Everyone appeared first on Analytics Vidhya.

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Model Interpretability: The Conversation Continues

Domino Data Lab

This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. Insights are drawn from Bin Yu, W. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning” Introduction. Model interpretability continues to spark public discourse among industry.

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“AI is a lie”

O'Reilly on Data

In this interview from O’Reilly Foo Camp 2019, Eric Jonas, assistant professor at the University of Chicago, pierces the hype around artificial intelligence. Highlights from the interview include: Jonas argues that “AI is a lie”—meaning that our expectations far outsize the reality of what’s currently possible. One of the issues arising from that disconnect is a level of corporate investment in the research process that hasn’t been seen before.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Digitizing Customer Experiences Requires a ‘Human Touch’

Corinium

Digitization is one of the most popular customer experience (CX) optimization techniques. It involves taking analogue or manual customer interactions and replacing them with digitally assisted or automatic ones.

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Introduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code)

Analytics Vidhya

Overview Apple’s Core ML 3 is a perfect segway for developers and programmers to get into the AI ecosystem You can build machine learning. The post Introduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code) appeared first on Analytics Vidhya.

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How to Speed up Pandas by 4x with one line of code

KDnuggets

While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.

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Getting to know Shrian Ramsamuj, Cyber Security Professional, Grindrod Bank

Corinium

Shrian Ramsamuj, Cyber Security Professional, Grindrod Bank will be presenting at the CISO Africa 2020 event in February 2020 and we caught up with him to find out more about himself and his current view of the industry.

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Storing Data On a Piece of GLass – Microsoft’s Project Silica

Data Science 101

Last week at Microsoft Ignite 2019, Microsoft Research announced the release of Project Silica. This is an amazing new technology to store data on a piece of glass. I was lucky enough to get the opportunity to sit down with Antony Rowstron , Deputy Lab Director at Microsoft Research, and ask him all my questions. An interview with Project Silica Researcher, Ant Rowstron.

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How AI Can Help Veterans

DataRobot

This Veterans Day, DataRobot is shining a spotlight on some of the ways that AI could have a major impact on the veteran community in the next few years.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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How Data Analytics Can Assist in Fraud Detection

KDnuggets

A primary advantage of data analytics tools is that they can handle massive quantities of information at once. These solutions typically learn what's normal within a collection of information and how to spot anomalies.

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AI’s Impact on Cyber Security

Corinium

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Cloud Data Science News Beta #2

Data Science 101

Here are this weeks major announcements and news for doing data science in the cloud. Microsoft Azure. Microsoft and Salesforce form Partnership While not just for data science, this is big news. Azure has become the cloud provider for the Salesforce marketing cloud. GitHub Actions for Azure go GA GitHub actions can now deploy databases and fire off pipelines in Azure Announcing FarmBeats All about using AI and ML on the farm.

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How Using Data For Your Social Media Marketing Campaign Can Help

Smart Data Collective

Did you know there are over 3.5 billion Facebook users? Social media has become the best way to market your brand when you want to reach specific audiences. There are 50,000 or more new posts on Instagram every day, and nearly 500,000 Tweets a day. So how are all these brands becoming so visible overnight? They are using data to target new and previous customers.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Research Guide for Depth Estimation with Deep Learning

KDnuggets

In this guide, we’ll look at papers aimed at solving the problems of depth estimation using deep learning.

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A Hitchiker's Guide to CDAO Africa 2019

Corinium

255 delegates from local and global leading organizations attended the CDAO Africa 2019 event, which delivered as promised. The attendees could be categorized into three main types of people that attended the event.

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Cloud Data Science News Beta #1

Data Science 101

Welcome to the first beta edition of Cloud Data Science News. This will cover major announcements and news for doing data science in the cloud. If the first few are well received, this will become a weekly segment. Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing.

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What's Missing From Your Visualization Solution? Hint: It’s Not More Features

Juice Analytics

As we watch Tableau and PowerBI pile on new capabilities, it has never been more obvious that the options for visualization tools have become a pile-up of copycat, me-too solutions. It is time for something fundamentally different: We have plenty of visual analysis tools designed for an elite group of data analysts; we need a solution for better data communication that anyone with data can use.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Transfer Learning Made Easy: Coding a Powerful Technique

KDnuggets

While the revolution of deep learning now impacts our daily lives, these networks are expensive. Approaches in transfer learning promise to ease this burden by enabling the re-use of trained models -- and this hands-on tutorial will walk you through a transfer learning technique you can run on your laptop.

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Top High-Value AI Use Cases in Retail & CPG

Dataiku

From hyper-targeted marketing campaigns and customer journey optimization to transforming warehouse and store management, AI is empowering brands and retailers to understand their customers and their businesses better in order to deliver unique, differentiated, one-on-one experiences.

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5 Ways Big Data Fuels SEO For eCommerce Stores

Smart Data Collective

Big data is changing the future of SEO in countless ways. All ecommerce companies need to look for ways to utilize big data to make the most of their SEO strategies, because organic search is essential to their success. The Overwhelming Importance of Big Data in SEO of eCommerce Companies. Big data has created a paradox for the SEO community. Although Google is becoming a lot stricter with its algorithms, smart marketers are finding better ways to implement SEO strategies with data analytics.

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Data Science Fails: Change is the Only Constant

DataRobot

Heraclitus, a Greek philosopher who lived 2,500 years ago, is credited with saying, “Change is the only constant.” Similarly, in 1789, Benjamin Franklin wrote, “In this world nothing can be said to be certain, except death and taxes.” This blog is about how we sometimes forget these two ideas when using artificial intelligence systems.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Python Lists and List Manipulation

KDnuggets

In Python, lists store an ordered collection of items which can be of different types. This post is an overview of lists and their manipulation.

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A guide to take your data reporting to another level

FineReport

When data reporting was composed of a jumble of scribbled numbers, we couldn’t imagine technology has revolutionized the data reporting?beautiful, convenient, and closely integrated with various systems. Today, data reports have been the basis of data-decision, as well as be closely connected with data analysis and business intelligence to help us discover the insights in our business.

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How Big Data And AI Are Driving The CBD Gummies Industry

Smart Data Collective

The CBD industry is growing at an astounding rate. So fast, in fact, that some companies are struggling to keep up with demand. And new companies are cropping up daily to get in on this brand new billion-dollar industry. But as the market becomes flooded with online outlets, it is essential for new companies to make proper use of the highly valuable resources that big data and artificial intelligence can offer.

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Next Level Power BI – M Language Basics

Paul Turley

This is a series of posts and exercises from a recent full-day workshop called Next Level Power BI. Check back for additional lessons and freely post your questions and feedback in the comments section after this post. Power Query is a modern data acquisition and transformation technology and it is the "Get Data" component of Power BI and many other Microsoft tools.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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The Complete Data Science LinkedIn Profile Guide

KDnuggets

With so many Data Scientists showing up on LinkedIn, it's time to make sure your profile is top-notch because your talent is still highly sought after. Recruitment specialists want to find you fast, and this guide will help you create the best profile to feature your expertise.

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Siemens and IBM showcase an AI-based, CO2 friendly advisor

IBM Big Data Hub

Making the case for AI, or any nascent technology for that matter, can be a struggle for companies today. While large enterprises know they need to be fast, agile and innovation-obsessed to survive disruption, their age-old policies, antiquated systems, disconnected data and entrenched corporate habits can be serious blockers to adoption.

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Predictive Analytics Is Reshaping UX In The Global Gaming Industry

Smart Data Collective

The digital gaming industry has undergone jolting changes over the past decade, as more organizations are looking towards data driven solutions. Gaming organizations have started to use big data to develop a deeper understanding of target customers. They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior.

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Improved customer satisfaction for global financial information provider

bridgei2i

Case study: Improved customer satisfaction for global financial information provider. About the Client. A global financial information provider – publisher of one of world’s largest business news and financial information in a variety of media. Business Context. The enterprise has a High volume of Customer interaction data and feedback coming in from many disparate systems in varying formats.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.