BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ChamberMaster//Event Calendar 2.0//EN METHOD:PUBLISH X-PUBLISHED-TTL:P1H REFRESH-INTERVAL:P1H CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU DTSTART:20070101T000000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 TZNAME:Central Daylight Time END:DAYLIGHT BEGIN:STANDARD RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU DTSTART:20070101T000000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 TZNAME:Central Standard Time END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Chicago:20260625T120000 DTEND;TZID=America/Chicago:20260625T130000 X-MICROSOFT-CDO-ALLDAYEVENT:FALSE SUMMARY:AI at Work in Agriculture | Session 1 – Beyond the Basics: Putting AI to Real Work DESCRIPTION:Most agricultural organizations aren't struggling to find AI tools. They're struggling to make those tools actually work.CAST's new three-part webinar series\, AI at Work in Agriculture\, covers the full arc of practical AI adoption in agribusiness from getting past simple Q&A tools to measuring real ROI. Led by Dan Maycock co-founder and CTO of Dataplai\, visiting researcher at NC State University and member of the FCC's Precision Ag Connectivity Task Force each session addresses a distinct stage of the journey from AI experimentation to operational value.Session 1 Beyond the Basics: Putting AI to Real WorkMost AI use in agriculture today stops at the surface asking ChatGPT a question\, generating a report\, running a quick analysis. That's a starting point\, not a strategy.Session 1 examines what it actually takes to move past simple Q&A and build AI-powered solutions that deliver measurable operational value. Dan Maycock draws on hands-on experience leading data transformation initiatives for growers\, processors and supply chain operators to cover:Why most organizations plateau after initial AI experiments and what it takes to move furtherData maturity: what it means\, how to assess where your organization stands and what gaps to address firstCommon implementation challenges and how to anticipate them before they stall progressKey considerations for scoping AI initiatives that deliver real-world resultsWhether your organization is just starting to explore AI or has already run pilots that haven't yet delivered\, this session provides a practical framework for what comes next. Register Now X-ALT-DESC;FMTTYPE=text/html:

Most agricultural organizations aren'\;t struggling to find AI tools. They'\;re struggling to make those tools actually work.

CAST'\;s new three-part webinar series\, AI at Work in Agriculture\, covers the full arc of practical AI adoption in agribusiness &mdash\; from getting past simple Q&\;A tools to measuring real ROI. Led by Dan Maycock &mdash\; co-founder and CTO of Dataplai\, visiting researcher at NC State University and member of the FCC'\;s Precision Ag Connectivity Task Force &mdash\; each session addresses a distinct stage of the journey from AI experimentation to operational value.

Session 1 &ndash\; Beyond the Basics: Putting AI to Real Work

Most AI use in agriculture today stops at the surface &mdash\; asking ChatGPT a question\, generating a report\, running a quick analysis. That'\;s a starting point\, not a strategy.

Session 1 examines what it actually takes to move past simple Q&\;A and build AI-powered solutions that deliver measurable operational value. Dan Maycock draws on hands-on experience leading data transformation initiatives for growers\, processors and supply chain operators to cover:

Whether your organization is just starting to explore AI or has already run pilots that haven'\;t yet delivered\, this session provides a practical framework for what comes next.

&rarr\; Register Now

LOCATION: UID:e.4042.1490851 SEQUENCE:3 DTSTAMP:20260624T185944Z URL:https://members.cast-science.org/eventcalendar/Details/ai-at-work-in-agriculture-session-1-beyond-the-basics-putting-ai-to-real-work-1767569?sourceTypeId=Hub END:VEVENT END:VCALENDAR