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6 trends framing the state of AI and ML

O'Reilly on Data

Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage.

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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. But sustained interest in cloud migrations—usage was up almost 10% in 2019, on top of 30% in 2018—gets at another important emerging trend. Still cloud-y, but with a possibility of migration.

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What a quarter century of digital transformation at PayPal looks like

CIO Business Intelligence

The fourth is called the merchant, consumer, and developer experience layer, which includes the web interface, mobile applications, and APIs that allow customers to use PayPal’s service interactively and programmatically. We’ve been working on this for over a decade, including transformer-based deep learning,” says Shivananda.

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Why Financial Services Firms are Championing Natural Language Processing

CIO Business Intelligence

Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research. In business, when a trend is forecast to grow by more than 3000% and generate cost savings of $7.3

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting. Newer methods can work with large amounts of data and are able to unearth latent interactions. What are you most looking forward to about CDAOI Insurance 2019?

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Microsoft’s latest OpenAI investment opens way to new enterprise services

CIO Business Intelligence

In July 2019 it became OpenAI’s exclusive cloud provider and invested $1 billion in the company to support its quest to create “artificial general intelligence.” And, of course, they can check out ChatGPT, the interactive text generator that has been making waves since its release in November 2022.

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Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. The drawback of GAMs is that they do not allow feature interactions.