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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. This will help advance progress by optimizing resources used.

IoT 83
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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

It is vital to know the difference between the two as they serve different principles and need diverse sets of eyes to be adequately optimized. On the other hand, data lakes store from an extensive array of sources like real-time social media streams, Internet of Things devices, web app transactions, and user data.

Data Lake 105
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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. It signifies a shift in human-digital interaction, offering enterprises innovative ways to engage with their audience, optimize operations, and further personalize their customer experience. billion by 2030.

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Better Preference Predictions: Tunable and Explainable Recommender Systems

Insight

Internet of Thing (AWS IoT) Are you looking to transition into the field of machine learning in Silicon Valley, New York, or Toronto? Apply for the upcoming June session today ( Deadline is March 25th for SV and NYC ) or learn more about the Artificial Intelligence program at Insight!

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

datapine

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. While IoT was a prominent feature of buzzwords 2019, the rapid advancement and adoption of the internet of things is a trend you cannot afford to ignore in 2020.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

For example, in the case of more recent deep learning work, a complete explanation might be possible: it might also entail an incomprehensible number of parameters. Perhaps if machine learning were solely being used to optimize advertising or ecommerce, then Agile-ish notions could serve well enough. Upcoming events.

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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