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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

Our approach includes applying AI, Internet of Things (IoT), and advanced data and automation solutions to empower this transition. As a result, Atlanta now receives forewarning on upcoming climate events that will affect their facilities, has lowered overall power usage, and extended the life span of many of these facilities.

IoT 84
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Conversational AI use cases for enterprises

IBM Big Data Hub

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. Get the inside scoop and learn all the new buzzwords in tech for 2020! Internet of Things. Connected Retail.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

AIOps appears in discussions related to ITIM (IT infrastructure monitoring), SIEM (security information and event management), APM (application performance monitoring), UEBA (user and entity behavior analytics), DevSecOps, Anomaly Detection, Rout Cause Analysis, Alert Generation, and related enterprise IT applications. will look like).

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

Several technology conferences all occurred within four fun-filled weeks: Strata SF , Google Next , CMU Summit on US-China Innovation, AI NY , and Strata UK , plus some other events. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. Deep learning,” for example, fell year over year to No.

IoT 20