Popular on eTradeWire
- New Novel Tells a Whale of a Traveler's Tale (Minus the Whale) - 162
- Queer Horror Poetry Collection Monsters in the Closet Now Available in Paperback - 148
- Arabella Wellness Center Launches Campaign to Expand Access to Women's Wellness Services Across North Texas - 140
- Can Your Inner Child Come Out and Play - 134
- Nieves Ministries Leads with Faith to Fortify Safety, Education, and Puerto Rican Culture in Colorado - 118
- RockNTix Announces Strategic Partnership with Microsoft to Power Next-Gen Event Ticketing Platform - 117
- Carnegie Hall Hosts Theatrical Concert: El Dorado – A Musical Portrait of Edgar Allan Poe - 116
- The Wuhan Lab Wasn't Just Certified — It Was Enabled: How U.S. Accreditation Helped Build a Global Crisis - 114
- Max Tucci dishes out hundreds of Chicken Parm Sandwiches to Bilt members on Rent Day, June 1st, 2025 - 114
- Howson Inspections: Uncovering Truth, Securing Homes—One Trusted Report at a Time - 113
Similar on eTradeWire
- Novaseal® Expands Access to Packet Welding Through U.S.-Based Supplier of Vinyl Alternatives
- 14th CryptoSuper500 Report Releases: Bitcoin's Evolution into a Global Supercomputer
- ASI Accelerates iMIS® Innovation by Acquiring CSI's Product Suite and Expert Team
- Global Leaders to Convene at Aviation Cybersecurity 2025 in London to Tackle Critical Threats
- Integris Composites Joins Paris Air Show at USA Pavilion
- Startup TORmem Unveils High-Speed Networking Roadmap to Disrupt $20 Billion Data Center Market
- Innovative EDM Music Project, "Terms of War," Depicts an A.I. Takeover of Earth
- ResmarkWeb Launches Powerful AI Workshop Series to Help Tour Operators Succeed
- DivX Enhances AVI Playback Resources; Simplifies Guide to Playing AVI Files with DivX Software
- Spark Industries Launches Aerospace-Grade "Over-Barrel" Muzzle System for Modern Sporting Rifles
AI at the Edge is Transforming ISR Operations by Solving Data and Efficiency Challenges While Enhancing Real-Time Decision Making
eTradeWire News/10787375
ATLANTA - eTradeWire -- The demands on intelligence, surveillance, and reconnaissance (ISR) operations are growing, as today's complex security environment addresses new requirements to support faster and more efficient operations. Legacy ISR systems have struggled to keep up with the vast amounts of surging data volumes, which often translates into delayed decision-making. As a result, valuable -- and sometimes vital -- insights are lost, risking mission success and even human lives. So says Mark Rushton, Global Defense and Security Lead at VITEC in a recent vidcast interview for journalists.
In response to these challenges the ISR community is exploring the role that artificial intelligence (AI) at the edge can play in enabling ISR platforms to filter, analyze, and prioritize data in real time. By shifting -- and automating -- decision-making capabilities closer to the sources of intelligence, AI at the edge promises to reduce data overload, optimize bandwidth, and improve mission outcomes—all without increasing payload or infrastructure costs. There is mounting evidence the result can be profound, creating a more agile and responsive ISR operation that can quickly identify critical threats and streamline workflows, enhancing efficiency and decision-making.
Tackling Data Overload in ISR
One of the main challenges in ISR is managing the overwhelming volume of data. With hours of footage to analyze, operators face delays and risk missing critical insights during time-sensitive missions.
More on eTradeWire News
"AI at the edge can help alleviate the problem of data overload," explains Rushton. "By integrating AI into drones and sensors, ISR platforms can analyze data in real time and proactively identify opportunities to focus on the most salient information, rather than transmitting everything back to the command center by filtering out irrelevant data and highlighting key events."
For example, if AI detects a significant anomaly—such as a suspicious object or a vessel in an unexpected location during an ocean scan—it can trigger an alert, saving operators from reviewing hours of footage. This approach helps operators focus on actionable insights, reducing workload and improving mission efficiency.
Boosting Efficiency Without Added Payload
The most important imperative, notes Rushton, is to enhance the effectiveness and efficiency of ISR platforms without adding extra hardware assets -- which increase payload weight -- or additional processing requirements -- that can affect compute performance. These are factors that can reduce mission efficacy.
"AI at the edge doesn't require extra hardware, which is a crucial advantage for ISR platforms," says Rushton. "By embedding AI into existing sensors and encoders, systems can make real-time decisions without increasing payload. This reduces operational costs and improves data transmission efficiency."
ISR systems with AI at the edge can also help determine whether to stream high- or standard-definition footage based on the importance of the data and the availability of bandwidth resources. This optimizes transmission quality, delivering the most important data to operators for analysis in the highest-fidelity format possible.
More on eTradeWire News
Advancing Real-Time Decision-Making
While AI has been used in recent years to support ISR operations from central command centers, the rapid development of this emerging technology has made it possible to push analytical capabilities closer to the point of data collection, enabling faster and higher-quality intelligence gathering. That said, Rushton stresses that AI at the edge should continue to be seen as an augmentative tool, rather than a replacement, for human analysis.
"AI is designed to assist human decision-making," Rushton notes. "Critical decisions will always stay with human operators, but AI helps by reducing the data they need to process. This allows operators to focus on what's important, enhancing overall efficiency."
The Road to Widespread Adoption
Despite its clear advantages, AI at the edge is still in the early stages of adoption within the ISR community. Many organizations are exploring its potential but remain cautious, particularly regarding the reliability of AI algorithms in real-time mission scenarios.
"There's growing interest in AI at the edge, but for many organizations, it's still in the conceptual stage," says Rushton.
While some elements of AI are already being integrated into sensors and encoders, more testing and strenuous proofs of concepts need to be conducted before AI at the edge becomes a mainstream feature of ISR platforms. What is clear is that as the technology matures, its role in enhancing ISR capabilities will continue to grow.
"The bottom line," concludes Rushton, "is that organizations need to start asking the right questions about how AI can fit into their existing systems. By focusing on scalable, reliable AI applications today, they can ensure they're prepared for the future of ISR operations and remain effective in a constantly evolving intelligence landscape."
EDITORIAL NOTE: To read the full Q&A with VITEC's Mark Rushton, please visit: https://bit.ly/Rushton--AI_at_the_Edge.
In response to these challenges the ISR community is exploring the role that artificial intelligence (AI) at the edge can play in enabling ISR platforms to filter, analyze, and prioritize data in real time. By shifting -- and automating -- decision-making capabilities closer to the sources of intelligence, AI at the edge promises to reduce data overload, optimize bandwidth, and improve mission outcomes—all without increasing payload or infrastructure costs. There is mounting evidence the result can be profound, creating a more agile and responsive ISR operation that can quickly identify critical threats and streamline workflows, enhancing efficiency and decision-making.
Tackling Data Overload in ISR
One of the main challenges in ISR is managing the overwhelming volume of data. With hours of footage to analyze, operators face delays and risk missing critical insights during time-sensitive missions.
More on eTradeWire News
- Bryckel Announces Seamless Integration with Rent Manager to Streamline Lease Abstraction
- International Bestselling Author Robert Rolih Joins Tom Hegna on "Financial Freedom with Tom Hegna"
- Rx Processing Corp. Movement Rx Processing corp.com Announces Strategic position
- WPB's Mounts Botanical Garden Announces FREE Summer Admission for Kids
- BABUSHKA To Make L.A. PREMIERE at Film Invasion L.A. Film Festival 6/21/25
"AI at the edge can help alleviate the problem of data overload," explains Rushton. "By integrating AI into drones and sensors, ISR platforms can analyze data in real time and proactively identify opportunities to focus on the most salient information, rather than transmitting everything back to the command center by filtering out irrelevant data and highlighting key events."
For example, if AI detects a significant anomaly—such as a suspicious object or a vessel in an unexpected location during an ocean scan—it can trigger an alert, saving operators from reviewing hours of footage. This approach helps operators focus on actionable insights, reducing workload and improving mission efficiency.
Boosting Efficiency Without Added Payload
The most important imperative, notes Rushton, is to enhance the effectiveness and efficiency of ISR platforms without adding extra hardware assets -- which increase payload weight -- or additional processing requirements -- that can affect compute performance. These are factors that can reduce mission efficacy.
"AI at the edge doesn't require extra hardware, which is a crucial advantage for ISR platforms," says Rushton. "By embedding AI into existing sensors and encoders, systems can make real-time decisions without increasing payload. This reduces operational costs and improves data transmission efficiency."
ISR systems with AI at the edge can also help determine whether to stream high- or standard-definition footage based on the importance of the data and the availability of bandwidth resources. This optimizes transmission quality, delivering the most important data to operators for analysis in the highest-fidelity format possible.
More on eTradeWire News
- Blue Radius Cyber Launches Radius360
- NEW "Summer Sip" Event Comes to City Winery Hudson Valley
- Petbeing Launches New E-Commerce Website to Bring Purposeful Pet Wellness Direct to Consumers
- Indie Band Run Downhill To Release "the Rattler" From Grammy® Winner T.j. Troy June 27th
- Soil Superheroes - Worms Combat Desertification and Drought
Advancing Real-Time Decision-Making
While AI has been used in recent years to support ISR operations from central command centers, the rapid development of this emerging technology has made it possible to push analytical capabilities closer to the point of data collection, enabling faster and higher-quality intelligence gathering. That said, Rushton stresses that AI at the edge should continue to be seen as an augmentative tool, rather than a replacement, for human analysis.
"AI is designed to assist human decision-making," Rushton notes. "Critical decisions will always stay with human operators, but AI helps by reducing the data they need to process. This allows operators to focus on what's important, enhancing overall efficiency."
The Road to Widespread Adoption
Despite its clear advantages, AI at the edge is still in the early stages of adoption within the ISR community. Many organizations are exploring its potential but remain cautious, particularly regarding the reliability of AI algorithms in real-time mission scenarios.
"There's growing interest in AI at the edge, but for many organizations, it's still in the conceptual stage," says Rushton.
While some elements of AI are already being integrated into sensors and encoders, more testing and strenuous proofs of concepts need to be conducted before AI at the edge becomes a mainstream feature of ISR platforms. What is clear is that as the technology matures, its role in enhancing ISR capabilities will continue to grow.
"The bottom line," concludes Rushton, "is that organizations need to start asking the right questions about how AI can fit into their existing systems. By focusing on scalable, reliable AI applications today, they can ensure they're prepared for the future of ISR operations and remain effective in a constantly evolving intelligence landscape."
EDITORIAL NOTE: To read the full Q&A with VITEC's Mark Rushton, please visit: https://bit.ly/Rushton--AI_at_the_Edge.
Source: VITEC
0 Comments
Latest on eTradeWire News
- New Launches to Help Parents Find the Perfect Bike for Their Kids
- Degree Forward Celebrates Third Annual Graduation with Record-Breaking Class of 85 Graduates
- Corner Property Appointed as New Management Company for Plymouth Hill COA in Plymouth Meeting, PA
- Discreet, Affordable Invisalign in Reading Available from Exeter Smiles
- JAX Airport Garage Fire Sparks Delays — Unique Corporate Limos Offers Stress-Free Rides
- Sons & Dotters Wins Double Gold at The Largest Spirits Event In The World
- NSPEC Innovations Launches New BigCommerce Store with MAKDigital's BigCommerce Austin Theme
- Leadership Southeast Georgia Focuses On Education and Agriculture in Bulloch and Screven Counties
- Comedy Under The Stars: Comedian Don Barnhart Brings His Hilarious Show To Maui's Tropical Paradise!
- Electric Dough Pizza Co. to open in San Marco
- From Barrio to Transgender Pioneer: The Day that Changed Everything
- Entertainment Events Brings Two Laugh-Out-Loud Shows to New Spire Arts
- Rare vintage muscle cars from the Fairbairn Collection are sold in a June 14th auction held by Miller & Miller in Canada
- Abrazo at Rice Hope - Ribbon Cutting
- Shayla N. Atkins to Host Inaugural "Leadership Redefined" Conference in Houston on August 26, 2025
- Drive Smart Save +/-10% in Fuel Consumption - Reduce REGEN's +/-70% - ECOFUELMAX
- Last call for 2025 Industry Appreciation Awards nominations
- Bokka Group Showcases Expert Home Builder Consulting Services to Elevate Customer Experience and Sales
- Roadrunner Glass Joins True View Windows & Glass
- Careington's Customer CARE Team Named Finalist in the 2025 Customer Contact Week Excellence Awards