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DTSTART;TZID=Europe/Lisbon:20251211T090000
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DESCRIPTION:The technological conversation is shifting from the Internet of
  Things (IoT) to the Artificial Intelligence of Things (AIoT)\, a powerful
  convergence that integrates the sensor-driven\, networked structure of Io
 T with the decision-making power of Artificial Intelligence (AI) at the ed
 ge. AIoT transforms devices from mere data collectors into intelligent sys
 tems capable of interpreting information\, learning from patterns\, and su
 pporting automated decisions. By embedding intelligence closer to where da
 ta is generated (edge computing)\, AIoT reduces latency and bandwidth depe
 ndence\, enabling businesses to react faster and improve operational effic
 iency and reliability. Key benefits include boosting operational efficienc
 y\, enhancing safety\, streamlining predictive maintenance\, and maximizin
 g data value across various sectors. Use cases span manufacturing\, smart 
 cities\, retail\, healthcare\, and logistics\, demonstrating AIoT's role i
 n creating smarter\, more responsive systems that deliver personalized exp
 eriences and drive measurable business outcomes.\n\nCo-sponsored by: Insti
 tuto de Telecomunicações\n\nSpeaker(s): Pietro Ferreira\, \n\nAgenda: \n
 09:00 Pietro Ferreira\, USMB and CROMA\, Artifical Intelligence of Things\
 n\nRoom: Meeting Room -Dep. Electromechanical Eng.\, Bldg: 8\, Fac. de Eng
 enharia\, Instituto Telec -DEM\, Universidade da Beira Interior\, Covilhã
 \, Castelo Branco\, Portugal\, Centro\, Portugal\, 6201-001\, Virtual: htt
 ps://events.vtools.ieee.org/m/520114
LOCATION:Room: Meeting Room -Dep. Electromechanical Eng.\, Bldg: 8\, Fac. d
 e Engenharia\, Instituto Telec -DEM\, Universidade da Beira Interior\, Cov
 ilhã\, Castelo Branco\, Portugal\, Centro\, Portugal\, 6201-001\, Virtual
 : https://events.vtools.ieee.org/m/520114
ORGANIZER:fjv@ubi.pt
SEQUENCE:34
SUMMARY:Artificial Intelligence of Things (AIoT)
URL;VALUE=URI:https://events.vtools.ieee.org/m/520114
X-ALT-DESC:Description: <br /><p><span lang="EN-GB" style="font-size: 12.0p
 t\; font-family: 'Calibri'\,sans-serif\; mso-fareast-font-family: Calibri\
 ; mso-fareast-theme-font: minor-latin\; color: #203864\; mso-ansi-language
 : EN-GB\; mso-fareast-language: PT\; mso-bidi-language: AR-SA\;">The techn
 ological conversation is shifting from the Internet of Things (IoT) to the
  Artificial Intelligence of Things (AIoT)\, a powerful convergence that in
 tegrates the sensor-driven\, networked structure of IoT with the decision-
 making power of Artificial Intelligence (AI) at the edge. AIoT transforms 
 devices from mere data collectors into intelligent systems capable of inte
 rpreting information\, learning from patterns\, and supporting automated d
 ecisions. By embedding intelligence closer to where data is generated (edg
 e computing)\, AIoT reduces latency and bandwidth dependence\, enabling bu
 sinesses to react faster and improve operational efficiency and reliabilit
 y. Key benefits include boosting operational efficiency\, enhancing safety
 \, streamlining predictive maintenance\, and maximizing data value&nbsp\;a
 cross various sectors. Use cases span manufacturing\, smart cities\, retai
 l\, healthcare\, and logistics\, demonstrating AIoT's role in creating sma
 rter\, more responsive systems that deliver personalized experiences and d
 rive measurable business outcomes.</span></p><br /><br />Agenda: <br /><p>
 09:00 Pietro Ferreira\, USMB and CROMA\, Artifical Intelligence of Things<
 /p>
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