Popular on eTradeWire
- Pyrrhic Press Publishing Establishes Thought Leadership and Expands Global Influence Through PULSE - 157
- The Common Thread That Unites Us All - 148
- Women's Flag Football Coming to Cal Lutheran - 127
- Volusia Memorial Hosts First Annual Candlelight Service of Remembrance - 114
- AI In Career Development: A Comprehensive Guide - 107
- Shoe Elegance Relaunches as an Online Boutique, Reviving Timeless Style and Sophistication - 105
- Seasonal holiday décor on display at Guadalupe Resale Shop - 103
- UDC Faculty Named Fellows by Academy of International Business - 101
- Rising XR Startup Omnia shows off Virtual Showroom at Tesla Event - 101
- Choosing The Best Bed Bug Extermination Services ✨ - 101
Similar on eTradeWire
- OpenID Foundation returns to Gartner IAM Summit to showcase interoperability in action
- Solana vs Ethereum: The Blockchain Showdown
- Lucid Data Hub Now Available in the Microsoft Azure Marketplace!
- Sequentex Achieves Prestigious Women-Owned Small Business (WOSB) Certification
- Summit Climbs to #24 on Central Ohio's Largest IT Consulting Firms List
- My Home Pathway Founder Shares Insights into Venture Capital at AcceleratorCON 2024
- Shape the Future of OpenSSL: Election Period Open Now!
- OConect Launches Transformative Enterprise Architecture SaaS To De-Risk Digital Transformation Planning
- Cellhire wins "Best Tech Innovation in Live Production" at the Broadcast Tech Innovation Awards 2024
- InStockRx Wins 1871 Supply Chain Pitch, Announces GS1 Partnership
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
- Lumaz Lighting Announces 2025 Holiday Season Sale: Up to 50% Off
- Investor Friendly Title Company Orlando FL
- OpenID Foundation returns to Gartner IAM Summit to showcase interoperability in action
- Dylan McMahon makes progress on Canada Platforms
- Charity Consultant Vows to Create "Best Ever" Free Digital Training for Charities
"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
- New Book Features Jose Silva's Ultimate Consciousness Expansion Technique
- AG Sues Amazon, But With Wrong D.C. Statute
- Solana vs Ethereum: The Blockchain Showdown
- Review Blurbs Declares Andrew Marc Rowe's Hi De Ho, Infecterino!: The Come Up Is 5 Stars Of Infectious Fun
- S.E,Gregg's Radio Interview On "Pursue Your Passion"
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
- Breaking Music News: Taylor Swift Crowned Spotify's Global Top Artist of 2024!
- Rising Stars Romulus First Debuts Genre-Bending Album "Reality"
- OneHouse Global: Here We Grow Again - The Dallas Takeover!
- B2B Success for Regenerative Medicine Providers
- ADELPHI ORCHESTRA's Twenty-first Annual Young Artist Competition
- 100 Films Retreat #7 Screens 15 Productions Representing All Seven of the World's Continents
- Risurance Innovative Solutions Inc. Presents Smart Food Risk Management Tools
- Shoe Elegance Relaunches as an Online Boutique, Reviving Timeless Style and Sophistication
- Food Security Champion for 2024
- Lyna Manufacturing Inc. Gives Back to America This Holiday Season
- CULTURE & COCKTAILS At The Ben Returns on Jan 6 with Award-Winning Comedy Writer ALAN ZWEIBEL
- Winn Claybaugh Interviews Personality Coding Technology Pioneers Cheri Tree and Esther Wildenberg
- Pepper Moon Catering Announces Newest Venue Partnership with Elm & Bain
- Naughty Nevada Band Launches a Bold New Website Design
- Piano to Zanskar Conducts a Musical Journey Across the Himalayas on Documentary Showcase
- Filabot & Massive Dimension Secure Seed Investment to Revolutionize Additive Manufacturing
- Nicole Williams Earns 'Stamp of Approval' as an International Travel Specialist
- Inspiring the Full Arch Industry: Dr. James Fetsch Speaks At The Full Arch Growth Conference 2024
- Daniel Roebuck Brings Christmas Magic to Life as Santa, Saint Nick, and Scrooge
- ATTN: BUSINESS: 'Tis the Season, and here is a GREAT BUSINESS GIFT For Every Business in the World