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A changing market landscape requires constant evolution: Our mission for VMware customers

CIO Business Intelligence

Early in this process, I concluded that the previous go-to-market model was too complex and costly for VMware and its customers. This licensing metric is also consistent across our entire ecosystem, which will enable customers to compare proposals from partners, and increase choice and competition.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

In 2005, in “ What is Web 2.0? ,” I made the case that the companies that had survived the dotcom bust had all in one way or another become experts at “harnessing collective intelligence.” Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model.

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Building a Named Entity Recognition model using a BiLSTM-CRF network

Domino Data Lab

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. How to build a statistical Named Entity Recognition (NER) model.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

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Customer Success: Earning Trust Through Partnership

Sisense

This three-letter attribute is one of the most important metrics for service-providers as it ranks customer satisfaction. Sisense is delivering a beautiful front-end experience, powerful and flexible data modeling, and the opportunity to integrate at a very deep level.”

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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

In this article, we will be using synthetic market data generated by an agent-based model (ABM) developed by Simudyne. Rather than a top-down approach, ABMs model autonomous actors (or agents) within a complex system — for example, different kinds of buyers and sellers in financial markets. Intraday VaR. Citations. [1]

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