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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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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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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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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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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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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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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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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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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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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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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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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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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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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AI’s Impact on Cyber Security

Corinium

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Topics Extraction and Classification of Online Chats

KDnuggets

This article provides covers how to automatically identify the topics within a corpus of textual data by using unsupervised topic modelling, and then apply a supervised classification algorithm to assign topic labels to each textual document by using the result of the previous step as target labels.

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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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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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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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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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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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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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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Rich Model, Poor Model

Teradata

An integrated data foundation allows data science models to be more accurate, actionable and engage more customers. Find out how your model can positively impact your bottom line.

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Beginners Guide to the Three Types of Machine Learning

KDnuggets

The following article is an introduction to classification and regression — which are known as supervised learning — and unsupervised learning — which in the context of machine learning applications often refers to clustering — and will include a walkthrough in the popular python library scikit-learn.

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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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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Generation A is about to change the world

IBM Big Data Hub

A new generation is among us. They were born after 2010 into a world where technology is ubiquitous.We are witnessing the birth of a new intelligent species.While all under 10 years old, Siri, Watson and Alexa have already made an impact on the world and we can imagine the potential they all have.

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How to Ensure Single Source of Truth Reporting for PeopleSoft

Jet Global

Single source of truth reporting is exactly what it sounds like: reporting based on a shared repository of facts that includes all information relevant to every user. It’s the ideal approach to reporting, but it’s rarer than people realize. PeopleSoft users are an excellent example. Despite the fact that massive amounts of information lives inside this solution, PeopleSoft reporting is a cumbersome process, mostly because the data are poorly integrated.

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How to Visualize Data in Python (and R)

KDnuggets

Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.

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P-value Explained Simply for Data Scientists

MLWhiz

Recently, I got asked about how to explain p-values in simple terms to a layperson. I found that it is hard to do that. P-Values are always a headache to explain even to someone who knows about them let alone someone who doesn’t understand statistics. I went to Wikipedia to find something and here is the definition: > In statistical hypothesis testing, the p-value or probability value is, for a given statistical model, the probability that, when the null hypothesis is true, the statistica

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.