Daily MarTech Roundup: Latest News, Insights, Funding and Updates

Today’s Daily MarTech Round-up covers latest in Cloud, Marketing Analytics, Automation, Customer experience AI and ML announcements from I.AM+, PathFactory, Symphony MediaAI, Downtown Music Holdings, LumenVox, Accenture, GRM Information Management and Bright Pattern.
I.AM+ Aims to Accelerate Ethical AI Adoption with Red Hat OpenShift on IBM Public Cloud
I.

Read Full Story

CNET Rings In A New Decade Of Technology At CES 2020

CNET Covers the Hottest News and Biggest Trends at the Consumer Electronics Show with Wall-to-Wall Coverage and Live Video from Tech West in Las Vegas CNET Presents Its Annual the Next Big Thing SuperSession “Moving into an Anticipatory Tech World”
CNET, the world’s largest consumer tech media brand, returns to the Consumer Electronics Show (CES) in Las Vegas to give its global audience a lo

Read Full Story

Daily MarTech Roundup: The 5 Coolest Things in Marketing and Sales Today

Today’s Daily MarTech Round-up covers latest in Cloud, Marketing Analytics, Automation, Customer experience AI and ML announcements from FOX News Media, eComchain, The Cardknox, OmniBazaar, Inc
FOX News Media Forms Strategic Advertising Partnership With HEVĒ for Branded Content
FOX News Media has formed a strategic advertising partnership with Emmy ® award-winning branded content agency, HEVĒ

Read Full Story

Kubernetes: A simple overview

Get a basic understanding of Kubernetes and then go deeper with recommended resources.This overview covers the basics of Kubernetes: what it is and what you need to keep in mind before applying it within your organization.
The information in this piece is curated from material available on the O’Reilly online learning platform and from interviews with Kubernetes experts.

Read Full Story

Exploring US Real Estate Values with Python

This post covers data exploration using machine learning and interactive plotting. If interested in running the examples, there is a complementary Domino project available.
Introduction
Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project.

Read Full Story

HyperOpt: Bayesian Hyperparameter Optimization

This article covers how to perform hyperparameter optimization using a sequential model-based optimization (SMBO) technique implemented in the HyperOpt Python package. There is a complementary Domino project available.
Introduction
Feature engineering and hyperparameter optimization are two important model building steps.

Read Full Story

Model Interpretability: The Conversation Continues

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”.

Read Full Story

On Being Model-driven: Metrics and Monitoring

This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. Many thanks to Don Miner for collaborating with Domino on this article. For additional vital signs and insight beyond what is provided in this article, attend the webinar.

Read Full Story

Themes and Conferences per Pacoid, Episode 13

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference.
Introduction
Welcome back to our monthly burst of themespotting and conference summaries. It’s been a busy conference season, which continues into December.

Read Full Story

Clustering in R

This article covers clustering including K-means and hierarchical clustering. A complementary Domino project is available.
Introduction
Clustering is a machine learning technique that enables researchers and data scientists to partition and segment data. Segmenting data into appropriate groups is a core task when conducting exploratory analysis.

Read Full Story