Connect with us
MARE BALTICUM Gaming & TECH Summit 2024

Artificial Intelligence

Remotely Operated Weapon Stations Market Technology Forecast Report 2022-2031: Focus on USA, Europe, UK, France, Poland, Israel and Australia

Published

on

Dublin, Jan. 17, 2023 (GLOBE NEWSWIRE) — The “Remotely Operated Weapon Stations – Market and Technology Forecast to 2031” report has been added to ResearchAndMarkets.com’s offering.

After more than 20 years of use in the field, Remotely Operated Weapon Stations have become a well-established market. The advantages they offer are significant, including crew protection, increased accuracy, first-round hit probability, target recognition and identification, low production, integration, and operational cost. Most importantly they can significantly increase the firepower of smaller and legacy platforms, thus increasing their range of capabilities or extending their utility in the modern battlefield.

The outbreak of the war in Ukraine has shown that a confrontation between peer or near-peer competitors is not a possibility that could happen in the distant future, but a highly like scenario. In such confrontations, firepower, long-range fires and ISR are elements that play a key role.

However, the defence industries were unprepared for the requirements of a high-intensity warfare, and they have been struggling to deliver the required capabilities. That is an issue further exacerbated by the risks posed by the current economic and political climate which impacts defence budgets and supply chains.

In such a tight framework ROWS can deliver significant capabilities to new and legacy platforms in a timely and affordable manner. There is also an important development in the ROWS market that no one should disregard, as they are expected to change the conduct of combat operations.

Just as radio brought a small revolution in technical and military affairs when it was used as a medium to guide weapons, ROWS will bring a similar change, not only as standalone systems but also as part of a networked environment and on top of unmanned ground or surface vehicles.

The current global security environment poses many challenges either in the form of low-intensity conflicts too. With major forces around the globe being in need of fielding disruptive technologies with fire delivery capabilities, platforms or unmanned systems with ROWS, interconnected through IoMT over a C2 backbone, will serve that goal effectively and affordably.

Recognizing that potential of the market, a significant number of manufacturers around the world are positioning themselves by developing their own ROWS. That creates a highly competitive environment for businesses, which will be better served through the creation of economies of scale.

Market Forecast provides a detailed analysis of the Remotely Operated Weapon Stations (ROWS) market up to 2031 in terms of technologies, end-users and platforms, acquisition programs, leading companies, and opportunities for manufacturers. The report also provides the case studies that would help readers better understand the nature of the market and the underlying factors affecting the procurement of ROWS.

Covered in this report

  • Global market share assessments for all types in numbers delivered and value up to 2031.
  • Market share assessments per segments and regions up to 2031.
  • Snapshot on global security issues, defence budgets, spending patterns and how these affect the procurement of ROWS systems.
  • Focus on US, European, Asian-Pacific and Middle East procurement programmes.
  • Case studies with some of the world’s biggest acquisition programs that have ROWS an integral part of the equation.
  • Market Dynamics: An insight on the latest technological developments in the ROWS market and which countries are changing their preferences, are in position to absorb the new technology and adapt their modus operandi.
  • Roles for all types: Insight on how ROWS fit into a military or security concept of operations and how they form a revolution in military affairs.
  • Main military ROWS technological trends.
  • Market Trends: Drivers, Trends, Opportunities and Risks for the stakeholders that want to stay ahead of the competition.
  • Profiles for the leading companies.

Who is This Report For?

This report is a must, particularly if you are one of the following:

  • Business Leaders & Business Developers
  • Market Analysts
  • Government and Military decision-makers
  • Component manufacturers

Leading Companies

  • ADS Malaysia
  • Aselsan
  • BAE Systems
  • Bohemian Interactive Solutions
  • CTA International
  • John Cockerill
  • EDGE Group
  • Elbit Systems
  • EOS Australia
  • Escribano Mechanical and Engineering
  • FN Herstal
  • General Dynamics Land Systems
  • KMW
  • Kongsberg
  • Leonardo
  • Milrem Robotics
  • Moog
  • MSI-Defence Systems
  • Nexter
  • Patria
  • QinetiQ
  • Rafael
  • Reutech
  • Rheinmetall
  • Saab
  • Thales
  • Valhalla Turrets

Key Topics Covered:

1 Introduction

2 Executive Summary
2.1 Trends and Insights
2.2 Main Findings
2.3 Key Conclusions
2.3.1 Capabilities and technology-based
2.3.2 Industrial and market-based
2.4 Important Tables and Figures

3 Technologies and Developments
3.1 Technology overview
3.2 ROWS’ Basic Components
3.3 Important Elements in ROWS’ Design and Operation
3.3.1 Stabilization
3.3.2 Sensors
3.3.3 Fire Control Unit
3.3.4 Guns, Weapons and Ammunition
3.3.5 ROWS’ Integration on Platforms
3.4 ROWS vs Manned Turrets
3.4.1 ROWS – Advantages and Limitations
3.5 Types of ROWS
3.5.1 Land Platforms
3.5.2 Wheeled vs Tracked Vehicles
3.5.3 Case Study – British Army Strike Brigades
3.5.4 Case Study – French Army Scorpion Programme
3.5.5 Case Study – US Army Forces in Europe
3.5.6 Unmanned Platforms with ROWS
3.5.7 ROWS for C-UAV
3.5.8 Naval Platforms with ROWS
3.5.9 Static ROWS
3.5.10 Airborne ROWS
3.6 Training and Simulation in the ROWS Market

4 Market Overview
4.1 Introduction
4.2 The Nature of the ROWS Market
4.3 Competitive landscape
4.4 Overview of companies
4.5 Risk factors

5 Market Analysis and Forecast Factors
5.1 Market Segmentation
5.2 Drivers
5.2.1 Defence budgets
5.2.2 Requirement for persistent ISR
5.2.3 Asymmetric threats
5.2.4 Navies to increasingly operate in the littoral waters
5.2.5 Importance of homeland security agencies
5.2.6 Crew survivability
5.2.7 Need to upgrade legacy platforms
5.2.8 Urban warfare
5.3 Trends
5.3.1 Increase trend for wheeled armoured vehicles
5.3.2 Development of the indigenous defence industrial capabilities
5.3.3 Increased range of engagements and accuracy
5.3.4 Combined capabilities
5.3.5 Power and signature management
5.3.6 Proliferation of UGVs and UUVs
5.3.7 Technological enablers
5.3.8 ROWS with non-lethal weapons
5.4 Opportunities
5.4.1 EO/IR technology developments
5.4.2 ROWS’ cost availability
5.4.3 Improving unmanned systems testing and evaluation
5.4.4 Improving Manned-Unmanned Teaming
5.4.5 Improving marketing and value-added messages
5.4.6 Developing ways to extend the lifespan and capabilities of platforms
5.4.7 Multiple effects by a single ROWS
5.4.8 ROWS adaptable for homeland security use
5.4.9 The ROWS as systems
5.4.10 Training for ROWS drives need for simulators and virtual environment
5.4.11 Field additive manufacturing of spare parts
5.5 Challenges
5.5.1 Lack of proven concept of operations
5.5.2 Trust in manned solutions
5.5.3 Defence budgets
5.5.4 Artificial intelligence and ethics
5.5.5 Rules of engagement and international law
5.5.6 Export controls in defence

6 Country Analysis
6.1 USA
6.2 Europe
6.2.1 UK
6.2.2 France
6.2.3 Poland
6.3 Israel
6.4 Australia

7 Global and Regional Market Forecast to 2031
7.1 Introduction
7.2 ROWS market by region
7.3 ROWS Market Forecast by Application
7.3.1 Americas’ ROWS market by Application
7.3.2 Europe’s ROWS market by Application
7.3.3 Asian-Pacific ROWS Market by Application
7.3.4 Middle East and African ROWS Market by Application
7.4 ROWS market Regions by End-Use
7.4.1 America’s ROWS market by End-Use
7.4.2 Europe ROWS market by End-Use
7.4.3 Asian-Pacific ROWS market by End-Use
7.4.4 Middle East and Africa Analytics market by End-Use

8 Application Market Forecast to 2031
8.1 Introduction
8.2 ROWS market by application overview
8.3 Total ROWS Market by Application
8.3.1 HLS ROWS Market by Application
8.3.2 Military ROWS Market by Application
8.3.3 Total Land ROWS Market
8.3.4 Total Naval ROWS by End-Use

9 End-Users Market Forecast to 2031
9.1 Introduction
9.2 ROWS for the Defence and HLS Sectors
9.2.1 Improved accuracy
9.2.2 Improved firepower
9.2.3 A system of systems
9.2.4 ROWS and new platforms
9.2.5 ROWS and legacy platforms
9.2.6 ROWS and unmanned platforms
9.2.7 Protecting critical infrastructure
9.3 Global ROWS market by End-Use overview
9.4 HLS ROWS market by Region
9.4.1 Global Military ROWS market by Region
9.4.2 HLS ROWS market by Application
9.4.3 Military ROWS Market by Application

10 Impact Analysis
10.1 Introduction
10.2 Forecast factors and Market Impact
10.3 Scenario 2 Global ROWS Market Forecast by Region to 2031 [US$ million]
10.4 Scenario 2 – Global ROWS Market Forecast to 2031 by Application [US$ Million]

11 Leading Companies
11.1 Introduction
11.2 ROWS Products and Services
11.3 Recent Developments and Contracts
11.4 Recent Projects Completed
11.5 Strategic Alliances
11.6 SWOT Analysis

For more information about this report visit https://www.researchandmarkets.com/r/6r1dqu

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.


Artificial Intelligence

SAS advances industry solutions with packaged AI models

Published

on

sas-advances-industry-solutions-with-packaged-ai-models

Tailored, lightweight AI models facilitate rapid deployment with low overhead
LAS VEGAS, April 17, 2024 /PRNewswire/ — SAS INNOVATE — Today at SAS Innovate, SAS – a pioneer in data and AI solutions – unveiled a game-changing approach for organizations to tackle business challenges head-on. Introducing lightweight, industry-specific AI models for individual license, SAS is equipping organizations with readily deployable AI technology to productionize real-world use cases with unparalleled efficiency.

AI software provider SAS is uniquely positioned to flex its decades of expertise in applying scalable and trustworthy AI models for prominent global financial, health care, and manufacturing brands, as well as government institutions.
“SAS is evolving its portfolio to meet wider user needs and capture market share with innovative new offerings,” said Chandana Gopal, Research Director, Future of Intelligence, IDC. “An area that is ripe for SAS is productizing models built on SAS’ core assets, talent and IP from its wealth of experience working with customers to solve industry problems.”
In today’s market, the consumption of models is primarily focused on large language models (LLMs) for generative AI. In reality, LLMs are a very small part of the modeling needs of real-world production deployments of AI and decision making for businesses.  With the new offering, SAS is moving beyond LLMs and delivering industry-proven deterministic AI models for industries that span use cases such as fraud detection, supply chain optimization, entity management, document conversation and health care payment integrity and more.
Unlike traditional AI implementations that can be cumbersome and time-consuming, SAS’ industry-specific models are engineered for quick integration, enabling organizations to operationalize trustworthy AI technology and accelerate the realization of tangible benefits and trusted results.
Expanding market footprintOrganizations are facing pressure to compete effectively and are looking to AI to gain an edge. At the same time, staffing data science teams has never been more challenging due to AI skills shortages. Consequently, businesses are demanding agility in using AI to solve problems and require flexible AI solutions to quickly drive business outcomes. SAS’ easy-to-use, yet powerful models tuned for the enterprise enable organizations to benefit from a half-century of SAS’ leadership across industries.
Delivering industry models as packaged offerings is one outcome of SAS’ commitment of $1 billion to AI-powered industry solutions. As outlined in the May 2023 announcement, the investment in AI builds on SAS’ decades long focus on providing packaged solutions to address industry challenges in banking, government, health care and more.
“Models are the perfect complement to our existing solutions and SAS Viya platform offerings and cater to diverse business needs across various audiences, ensuring that innovation reaches every corner of our ecosystem,” said Udo Sglavo, Vice President for AI and Analytics, SAS. “By tailoring our approach to understanding specific industry needs, our frameworks empower businesses to flourish in their distinctive environments.”
Bringing AI to the massesSAS is democratizing AI by offering out-of-the-box, lightweight AI models – making AI accessible regardless of skill set – starting with an AI assistant for warehouse space optimization. Leveraging technology like large language models, these assistants cater to nontechnical users, translating interactions into optimized workflows seamlessly and aiding in faster planning decisions.
“SAS Models provide organizations with flexible, timely and accessible AI that aligns with industry challenges,” said Sglavo. “Whether you’re embarking on your AI journey or seeking to accelerate the expansion of AI across your enterprise, SAS offers unparalleled depth and breadth in addressing your business’s unique needs.”
The first SAS Models are expected to be generally available later this year. Learn more about SAS Applied AI and Modeling here: https://blogs.sas.com/content/tag/applied-ai-modeling/.
Today’s announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter.
About SASSAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. 
Editorial Contact:Jennifer [email protected] 202-210-4180 sas.com/news
Photo – https://mma.prnewswire.com/media/2384310/SAS_innovate.jpgLogo – https://mma.prnewswire.com/media/1250367/SAS_v1_Logo.jpg

View original content:https://www.prnewswire.co.uk/news-releases/sas-advances-industry-solutions-with-packaged-ai-models-302114589.html

Continue Reading

Artificial Intelligence

Expanded SAS Viya uses generative AI to accelerate customer productivity

Published

on

expanded-sas-viya-uses-generative-ai-to-accelerate-customer-productivity

Leading data and AI platform helps explain and integrate large language models to augment existing processes; SAS Data Maker will address critical challenges without compromising sensitive data
LAS VEGAS, April 17, 2024 /PRNewswire/ — SAS INNOVATE — So many organizations have jumped on the GenAI bandwagon in the last year, but are those efforts delivering results yet? If the organization uses the SAS® Viya® data and AI platform, the answer is a resounding yes. Infused with large language model (LLM) orchestration strength, SAS Viya is already helping customers accelerate efficiency and productivity. Throughout 2024, SAS will continue delivering innovation by broadening its trustworthy GenAI footprint with the introduction of its own synthetic data generator – SAS Data Maker – and by offering industry-specific GenAI assistants.

Learn more about Viya LLM orchestration and other GenAI capabilities in this solution brief: Accelerate productivity with generative AI and SAS Viya.
“SAS’ guiding principle is everyone should be able to query data and perform complex analytical operations in every phase of the data and analytics life cycle, and generative AI is crucial in this democratization journey,” said Wiktor Markiewicz, Senior Market Research Analyst at IDC. “But most leaders don’t understand AI technology and how they can apply it meaningfully. Having an already trusted data and AI platform available removes the guesswork and kickstarts the generative AI journey.”  
Georgia-Pacific and wienerberger rely on Viya for AI and GenAI capabilitiesManufacturer Georgia-Pacific is a SAS customer using Viya. “When challenges emerge with our manufacturing equipment or process, we leverage sensor data, business rules, recommender systems and generative AI to suggest the appropriate next best action and resolve the problem,” said Roshan Shah, Vice President, Collaboration & Support Center, Georgia-Pacific. “Streaming analytics and intelligent decision management support from SAS Viya helps us capture immediate value by making the right decisions as events occur.”
About Georgia-Pacific, SAS Executive Vice President and CTO Bryan Harris said, “One of SAS’ core strengths is our deep bench of industry knowledge. We understand manufacturing, and we understand Georgia-Pacific’s unique challenges. We help them appropriately scale LLM orchestration and manufacturing-specific GenAI assistant strategies so their employees can use those cutting-edge applications to troubleshoot real-time operational issues.”
Global brick manufacturer wienerberger also uses SAS for AI support. The company reduces energy consumption, cuts greenhouse gas emissions and improves product quality using SAS on Microsoft Azure. “We use AI and IoT analytics from SAS to connect all our data streams and analyze the entire production process,” said Florian Zittmayr, Team Lead for Data Science at wienerberger. “SAS Analytics brings intelligence to the kiln by helping our engineers and employees to gain valuable information about each step and identify specific target values to make the drying and firing of bricks more economical.”
And a global consumer goods manufacturer uses Viya and its GenAI capabilities to optimize warehouse space, allocate inbound shipments and compare “what-if” scenarios based on product demand. SAS helped develop an LLM-based digital assistant by dynamically updating SAS Visual Analytics dashboards so the company’s supply chain teams can easily save time and improve warehouse space usage with in-depth analytics. This conversational assistant allows both technical and business users to generate fast and accurate results and improve decision making using SAS’ trustworthy, explainable analytics.
Organizations are enthusiastic about adopting and deploying GenAI, but there’s often a gap between preparedness and execution. Learn more by reading the US Executive Summary from a new study: Generative AI Challenges and Potential Unveiled: How to Achieve a Competitive Advantage.
Viya stands out in the GenAI crowd because of pragmatic, industry-driven applicationsAs organizations explore GenAI, SAS prioritizes identifying industry-driven and ethically applied use cases. SAS enables secure adoption and fosters accelerated productivity and trusted results across diverse industries and regulatory landscapes. SAS’ GenAI functionality lives in leading products like Viya and SAS Customer Intelligence 360:
GenAI orchestration: Viya integrates external GenAI models with existing business processes and systems, orchestrating LLMs for end-to-end enterprise use cases. These capabilities are now available in SAS Viya.Viya Copilot: Enhances productivity for developers, data scientists and business users with a personal assistant that accelerates analytical, business and industry tasks. Viya Copilot offers diverse tools for tasks like code generation, data cleaning, data exploration, marketing planning, journey design and knowledge gap analysis. The first iteration of Viya Copilot is available through an invitation-only private preview.SAS Data Maker: Addresses data privacy and scarcity challenges by generating high-quality synthetic tabular data without compromising sensitive information, enabling organizations to address data privacy. SAS Data Maker is now available in private preview.Customer engagement. SAS continues to infuse GenAI capabilities into its flagship MarTech solution, SAS Customer Intelligence 360, to help marketers elevate the customer experience. SAS Customer Intelligence 360 already offers GenAI assistance on streamlining marketing planning, journey design and content and creative development. SAS is now introducing three new capabilities in SAS Customer Intelligence 360 for marketers: using GenAI to build recommended audiences based on natural language prompts, a chat experience to interpret audience data and a GenAI suggestion service for email subject lines.The GenAI functionality of Viya makes a meaningful difference to customers planning to:
Accelerate innovation: Seamlessly integrate GenAI models into decisioning workflows, AI/ML applications and existing business processes by using decisioning flow tools like SAS Intelligent Decisioning.Protect data: Support user privacy and security with robust data quality measures, including synthetic data generation, data minimization, anonymization and encryption, so sensitive information remains safeguarded.Create trustworthy and explainable results: Data experts can apply natural language processing techniques to preprocess data and explain the generated output, minimizing hallucinations and token costs.Enhance governance: Use built-in tools to create workflows that validate the life cycle of LLMs, including model risk management.Make more precise decisions: Quantitative decisioning capabilities, critical for successful GenAI reasoning, are built into the Viya platform.Today’s announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter.
About SASSAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. 
Editorial Contact:Laura Fleek [email protected] 214-803-6692sas.com/news
 
Video – https://www.youtube.com/watch?v=D4rs5WqXySQ
Logo – https://mma.prnewswire.com/media/1250367/SAS_v1_Logo.jpg

View original content:https://www.prnewswire.co.uk/news-releases/expanded-sas-viya-uses-generative-ai-to-accelerate-customer-productivity-302118781.html

Continue Reading

Artificial Intelligence

LTA’s Padel Programme Teams Up with Skylab for Enhanced Performance Analytics

Published

on

lta’s-padel-programme-teams-up-with-skylab-for-enhanced-performance-analytics

MANCHESTER, England, April 17, 2024 /PRNewswire/ — Skylab, a UK-based specialist in sports technology and performance analysis, proudly announces its partnership with LTA Padel, solidifying its position as a premier provider of specialised services in the sports industry. This collaboration underscores Skylab’s commitment to excellence and showcases its ability to deliver innovative and diverse solutions tailored specifically for elite sports organisations like LTA Padel.

The LTA’s Padel performance programme in Great Britain will utilise Skylab’s Game Intelligence product and Performance Analysis services. The software will empower athletes and coaches alike with interactive and detailed match data, seamlessly integrated into intuitive dashboards that create automated video playlists. The Padel team at the LTA will gain a deeper understanding of padel at the elite level to support their talent identification, player pathway and coaching strategies as they strive to compete with the world’s best. 
“Previously, Padel players lacked accurate and robust performance data, which made it impossible to analyse the opposition in detail. Coaches couldn’t answer their players’ key performance questions quickly, and performance directors had to rely on gut feeling and experience when evidencing what elite Padel looks like. However, our product and services provide practitioners with insights into the technical and tactical aspects of the game, as well as the physical demands required for elite-level performance. This allows practitioners to understand and predict the future performance of their players, enabling them to make data-informed decisions” says Ciaran Skinner, Business Development Manager, Skylab.
Skylab is a first-of-its-kind sports technology firm, offering tailored, market-leading Performance Analysis services and bespoke web platforms to elite sporting clients. It revolutionises how elite sports teams and individuals interact, use, and visualise their data. By packaging performance analysis with industry leading UX and bespoke software, partners will be in the position to make better decisions in sport.
For more information about Skylab and its services, please visit skylab.com or contact [email protected] 
Notes 
Website: www.skylab.com 
https://skylab.com/padel-performance-insights/ 
Social:
LinkedIn – Skylab: https://www.linkedin.com/company/studio-skylab 
LinkedIn – Skylab: Elite Performance Analysis: www.linkedin.com/company/skylab-epa/ 
About Skylab      
Skylab is a first-of-its-kind sports technology firm, offering tailored, market-leading Performance Analysis services and bespoke web platforms to elite sporting clients. It revolutionises how elite sports teams and individuals interact, use, and visualise their data. By packaging performance analysis with industry leading UX and bespoke software, partners will be in the position to make better decisions in sport. Current clients include elite teams and organisations across Padel, Football, Athletics, Tennis, Rowing and more.
Photo – https://mma.prnewswire.com/media/2388380/skylab_sports_technology_performance_analysis.jpg

View original content:https://www.prnewswire.co.uk/news-releases/ltas-padel-programme-teams-up-with-skylab-for-enhanced-performance-analytics-302119847.html

Continue Reading

Trending