Thu.Jul 18, 2019

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Introduction to PyTorch-Transformers: An Incredible Library for State-of-the-Art NLP (with Python code)

Analytics Vidhya

Overview We look at the latest state-of-the-art NLP library in this article called PyTorch-Transformers We will also implement PyTorch-Transformers in Python using popular NLP. The post Introduction to PyTorch-Transformers: An Incredible Library for State-of-the-Art NLP (with Python code) appeared first on Analytics Vidhya.

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Understanding the Value of Good Customer Experience (Gateway Bank)

Corinium

It’s now clear that all parts of your business need to be CX focussed – not just the front office. Gateway Bank is an example of a company so obsessed with customer centricity that they recently promoted their CCO, Lexi Airey, to the top job – CEO. The organisation realised that the back office could have just as much impact on the lives of customers, if not more, than front office.

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Acquiring and sharing high-quality data

O'Reilly on Data

The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data. In this episode of the Data Show , I spoke with Roger Chen, co-founder and CEO of Computable Labs , a startup focused on building tools for the creation of data networks and data exchanges. Chen has also served as co-chair of O'Reilly's Artificial Intelligence Conference since its inception in 2016.

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Understanding the Value of Good Customer Experience (Landing Page)

Corinium

Tell us a bit about your background and how you ended up in your current role.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Too Big for Excel? An Alternative for Analysis

Dataiku

Big data. The term means many things to many people. The best definition I've heard is data that won't fit on your laptop. With 1 terabyte hard drives available by "fit" I mean it's too big to process on your laptop. A top-of-the-line MacBook pro packing a quad-core processor and 16GB of RAM can analyze a lot of data, however it's easy to surpass even those mighty specs.

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How to deliver a scalable AI pilot in just 8 weeks

IBM Big Data Hub

In business, aspiring to world-class is not enough when your competitors are already there. About half of the companies listed on the S&P 500 will be replaced over the next 10 years. Compared to the past, what’s unique abou t the disruption happening today is the rapid pace of change. During past revolutions, businesses had many years – even decades – to adapt.

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Why Metadata Management Automation is Crucial to the Healthcare Industry

Octopai

Imagine you work in an industry that is unique among service industries: Nearly every decision regarding the provision of customer services can have catastrophic, even deadly, consequences for the customer. The customers, understandably, expect the service providers to make the correct decision 100% of the time, and to provide highest-quality services in a timely manner.

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Rock Solid AI: Using Geological Data for Oil and Gas Exploration

DataRobot

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Waterfall to Agile: A Necessary Mindset Shift For Business Analysts

BA Learnings

I tend to describe the agile approach as a way of working; A targeted way of working that allows us to make changes, respond to customers’ needs and manage uncertainty with minimal delays, and without needing to wade through “red tape”. Agile manifesto encourages: - Customer collaboration over contract negotiation - Individuals and interactions over processes and tools - Responding to change over following a plan - Working software over full documentation This does not however imply that the agi