{
"id": "JWVe45XBjXc1784088448516",
"videoID": "JWVe45XBjXc",
"title": "",
"caption": "",
"captionStyle": "ideas",
"backgroundImageUrl": "https:\/\/img.youtube.com\/vi\/JWVe45XBjXc\/maxresdefault.jpg",
"imageMedium": "",
"imageLarge": "",
"playLabel": "Play Video",
"transcriptAriaLabel": "Transcript of the video follows",
"skipTranscriptLabel": "skip transcript"
}
{
"description": "",
"ideasArticleShareLabel": "Share",
"projectShareLabel": "Share",
"networks": [
"linkedin",
"twitter",
"email"
]
}
{
"text": "
Automated processes aren’t new at large facilities and utilities, but past efforts have shown limited success with automating controls of a treatment plant lifecycle. By developing a pilot plant automation scenario using Machine Learning techniques and accurate operational algorithms, our clients can run their assets reliably. John Abrera, Operational Analytics Leader, shares how our research and approach to automating the functions of a water treatment facility have potential to automate processes across industries.
" }
{
"description": "",
"ideasArticleShareLabel": "Share",
"projectShareLabel": "Share",
"networks": [
"linkedin",
"twitter",
"email"
]
}
{
"headline": "Operations of the Future: Using Artificial Intelligence to Run a Water Treatment Facility",
"contactLabel": "Contact",
"authors": [
{
"promotionalImage": "\/content\/dam\/stantec\/images\/people\/a\/john\u002Dabrera\u002Dbw.jpg",
"personFirstName": "John",
"personLastName": "Abrera",
"mappedPromoText": "John is an operational analytics leader with our Digital Practice group in Atlanta. Always looking for new ways to use technology, he has practical, operations-centric approach that is valued by our clients.",
"contactEmail": "john.abrera@stantec.com"
}
]
}