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2018: The ‘Year of AI and Machine Learning‘ for Financial Marketers
The Financial Brand True personalization at scale requires advanced analytics, which is why banks and credit unions of all sizes are using AI and machine learning to customize all components of the marketing mix. Your marketing team can no longer postpone using AI-powered … |
Datamation10 Machine Learning Startups to WatchDatamationAnd machine learning is poised to be one of the most aspects of AI that enterprises will need to master. According to the latest forecast from IDC worldwide spending on cognitive and AI solutions…
Forbes |
Management AI: Overfit, Why Machine Learning Isn’t Trained to Perfection
Forbes The core of most modern Machine Learning (ML) systems is automated neural networks (ANNs). The training of ANN’s requires large data sets. One misconception of those data sets is the idea that “if we get enough data, we can make the system 100 … |
MotherboardWhy Machine Learning Needs GPUs – MotherboardMotherboardLast summer, I spent a week at a conference dedicated to graphics-processing units—GPUs. It was presented by GPU big name Nvidia, a brand that is largely associated with gaming hardware…
SiliconANGLE News (blog) |
Verizon acquires machine learning-based threat detection startup Niddel
SiliconANGLE News (blog) “Using machine learning to improve information accuracy significantly reduces false positives and significantly improves our detection and response capabilities,” Alexander Schlager, Verizon’s executive director for security services, said in a … Verizon adds Niddel to threat tech services, as machine learning becomes essential SD Times news digest: Verizon acquires threat detection company … |
Enterprise Irregulars (blog) |
Data Science And Machine Learning Jobs Most In-Demand on …
Enterprise Irregulars (blog) There are 9.8 times more Machine Learning Engineers working today than five years ago based on LinkedIn’s research, with 1829 open positions listed on the site today. There are 6.5 times more Data Scientists than five years ago, and 5.5 times more Big … |
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Facebook’s Expanding Machine Learning Infrastructure
The Next Platform Here at The Next Platform, we tend to keep a close eye on how the major hyperscalers evolve their infrastructure to support massive scale and evermore complex workloads. Not so long ago the core services were relatively standard transactions and … |
Boing BoingAdversarial patches: colorful circles that convince machine-learning …Boing BoingMachine learning systems trained for object recognition deploy a bunch of evolved shortcuts to choose which parts of an image are important to their classifie…
ObserverFour Age-Old Business Problems Machine Learning Will Soon SolveObserverIn many cases, the levels of optimism and excitement have reached a fevered pitch. Less enthusiastic observers, however, have noted that the promise of machine learning is o…
Phys.OrgMachine learning and neural networks recognize exotic insulating phases in quantum materialsPhys.OrgThere is growing interest in harnessing machine learning to answer questions about the physics of condensed matter, like metals and insulators, …
