Artificial Intelligence in the Hybrid Cloud

CDW Canada Tech Talks

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3+ y ago 33:17

MP3•בית הפרקים

Four technologies that you need to support AI workloads
Whether it makes sense to move AI data into the cloud or to run certain workloads on premises
Why processes need to change to support AI programs and what IT teams can do from an infrastructure standpoint to support their data science team
The three different levels of maturity for organizations that are adopting AI, and how Dell Technologies can help
Functional use cases for AI across healthcare, retail and customer service
How to use real-time data collected at the edge and sensor data to support AI programs
Structured and unstructured data sets and how to gather insights around them
How pervasive do you want to make artificial intelligence in your organization, and where is that data going to live?
The importance of public cloud usage models, and keeping track of costs over time
The state of AI now and in the future

To learn more, visit cdw.ca

31 פרקים

#Tech #Business #Canada #CDW Canada #Managed Private Cloud #Draas #Ai Workloads #Real Time Analytics #Identity Management #Network Architecture #Modern Applications #Application Modernization #Data Portability #Hybrid Clouds #Infrastructure As Code #Orchestration And Automation #Private Cloud #Edge Computing #Cloud Computing #Private Cloud Services #Cloud Migration #Cloud Collaboration Solutions #Managed Cloud #Hybrid #Multi-cloud #Managed Service #Cloud Infrastructure #Public Cloud #Legacy Cloud #Cloud Technologies #Cloud Providers #Cloud Privacy #Private Cloud Storage #Cloud Services #Cloud Backup #Cyber Security Technology #Encrypted Hard Drive #Anti Malware Free #Pci Security Standards #Application Protection #Protection Encryption #Application Security #Compliance Strategy #Malware Prevention #Protection Solutions #Wireless Security #CASBS #Cyber Compliance #Security Protocols #Cdw Protection

Artificial Intelligence in the Hybrid Cloud

CDW Canada Tech Talks

published 3+ y ago

שתפו

MP3•בית הפרקים

Four technologies that you need to support AI workloads
Whether it makes sense to move AI data into the cloud or to run certain workloads on premises
Why processes need to change to support AI programs and what IT teams can do from an infrastructure standpoint to support their data science team
The three different levels of maturity for organizations that are adopting AI, and how Dell Technologies can help
Functional use cases for AI across healthcare, retail and customer service
How to use real-time data collected at the edge and sensor data to support AI programs
Structured and unstructured data sets and how to gather insights around them
How pervasive do you want to make artificial intelligence in your organization, and where is that data going to live?
The importance of public cloud usage models, and keeping track of costs over time
The state of AI now and in the future

To learn more, visit cdw.ca

31 פרקים

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Artificial Intelligence in the Hybrid Cloud

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Artificial Intelligence in the Hybrid Cloud