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Jackery’s rooftop tent is also a powerful solar generator

Hacker News

There’s no mention of its resilience to wind, but that’s hardly a concern for a concept parked on ugly carpet inside the Las Vegas convention center. The E1000 Plus can also be charged from the car while driving (7 hours to full) or wall jack (1.7 Image: Jackery That insulation had better be good.

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Top 10 Powerful Use Cases of Generative AI Chatbots in Call Centers

Chatbots Life

In the rapidly evolving landscape of customer service, call centers are embracing cutting-edge technologies to elevate their operations and meet the growing expectations of today’s consumers. We explore the transformative impact of Generative AI chatbots in enhancing customer experiences within call center environments.

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning Blog

The rise of artificial intelligence (AI) has created opportunities to improve the customer experience in the contact center space. Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics.

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Hyperscale vs. colocation: Go big or go rent?

IBM Journey to AI blog

Still others are wowed by the promise of artificial intelligence (AI) and automation that hyperscale data centers offer. For these reasons, there’s a lot of positive support for going ahead and building a hyperscale data center , customized expressly for this business. What is a hyperscale data center?

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Business disaster recovery use cases: How to prepare your business to face real-world threats

IBM Journey to AI blog

Strong DR planning helps businesses protect critical data and restore normal processes in a matter of days, hours and even minutes. Failover and failback both use data replication and are widely used in DR strategies for data centers and communication networks. Establishing your RTO and RPO are critical steps in your recovery process.

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dynamite in R

IBM Data Science in Practice

Sepsis Data I began my analysis with sepsis data from Kaggle , which consists of records for different patients over varying lengths of time (Hours). After imputation, if any patient had missing values, they were excluded from the analysis. The term noncentered = TRUE indicates the use of a non-centered parameterization for the spline.

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Overcoming emergency department capacity challenges with holistic solutions

Dataconomy

hours to be assigned a room and 2.25 hours to be discharged. Better communication between healthcare providers, including primary care physicians and specialists, enables smoother transitions for patients who still need care after leaving the ED. Currently, patients must wait an average of 1.5