O'Reilly on Data

SEPTEMBER 12, 2018

Watch " Managing risk in machine learning.". Von Neumann to deep learning: Data revolutionizing the future. Jeffrey Wecker offers a deep dive on data in financial services, with perspectives on data science, alternative data, the importance of data centricity, and the future of machine learning and AI.

IoT 144

IoT Machine Learning Deep Learning Data Science 144

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting. Fractal’s 2018 Net Promoter Score is greater than 70.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

O'Reilly on Data

FEBRUARY 18, 2020

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. ML + AI are up, but passions have cooled. Security is surging.

Data-driven 342

Data-driven Software Statistics Marketing 342

Domino Data Lab

APRIL 3, 2019

Plus it’s well-nigh time for “machine learning natives” to jump into the dialog about DG. So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field. More Policies Emerged” (2010-2018). for DG adoption in the enterprise.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

SEPTEMBER 12, 2018

And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. The bank coordinates all interactions via its branch network and Australian-based contact centers and presents it back through digital channels, ATMs, email and direct mail.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. The algorithm learned to identify children, not high-risk patients.

Analytics 143

Analytics Machine Learning Insurance Testing 143

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You can take TensorFlow.js

Data Science 109

Data Science Machine Learning Data Governance Modeling 109