IDeaS announces Spotlight, delivering a new edge in demand generation for hotel marketing
IDeaS, a SAS company and the world's leading provider of hospitality revenue management software, today announced the launch of IDeaS Spotlight, a first of its kind demand intelligence solution that empowers marketers to generate the right demand at the right time. Spotlight helps both single properties and portfolios to identify and act on high-value opportunities for deploying impactful, demand-generating marketing tactics informed by advanced analytics and AI. The solution brings IDeaS' robust demand forecast and price sensitivity capabilities together to help hoteliers allocate marketing spend for the greatest impact on incremental revenue.
In a time of uncertainty, rising marketing expenses, and increasing operational costs, hotel marketers are challenged to act quickly to translate every dollar spent into measurable revenue growth. Spotlight brings IDeaS' unmatched forecasting capabilities into the mix, empowering marketers to optimize spend and unify commercial strategies, providing a vital competitive advantage.
Additional key benefits of IDeaS Spotlight include:
Translate forecast data into marketing action with a focused dashboard that automatically identifies periods of high revenue potential to help launch timely, impactful campaigns.
Increase campaign conversion and influence guest behavior by leveraging price sensitivity signals.
Respond faster with unparalleled foresight into future marketing opportunities. Powered by IDeaS G3 RMS' advanced forecasting engine, Spotlight enables teams to proactively adjust strategies and take a surgical approach to demand generation.
Spur collaborative action by streamlining communication between marketing and revenue management teams with intuitive workflows that ensure no revenue opportunity is left behind.
Mike Chuma, vice president of global marketing, IDeaS, said: 'For years, IDeaS solutions have served as the source of truth for future demand. With the introduction of Spotlight, hotel marketers can now drive their campaigns with that same state-of-the-art demand-driven forecasting. Spotlight is a purpose-built performance intelligence tool designed specifically for marketers. Gaining future insights available only from IDeaS' G3 RMS, hotel marketers can now connect the dots from forecast to action at a speed and scale like never before, leveraging and measuring the impact of demand-generating campaigns.'
Sanjay Nagalia, co-founder, chief operating officer & chief technology officer, IDeaS, said: 'It's clear there's a world of potential for the hospitality organizations that can bridge the gap between forecast data and tactical execution. IDeaS is committed to providing the industry with the innovative tools needed to maximize the profitability and effectiveness of their commercial teams, and Spotlight is the latest in our efforts to break down the barriers to data-driven success.'
The new solution will be selectively available for IDeaS clients in July 2025.
About IDeaS
IDeaS, a SAS company, is the world's leading revenue management software and services provider. Combining industry knowledge with innovative data analytics technology, IDeaS creates sophisticated yet simple ways to empower revenue leaders with precise, automated recommendations they can trust. With 35 years of expertise serving hospitality, including hotel, event, and parking clients, IDeaS delivers revenue science to more than 30,000 properties in 164 countries around the world. Results delivered. Revenue transformed.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Channel Post MEA
5 days ago
- Channel Post MEA
SAS is Revolutionizing Law Enforcement with AI-Driven Crime Prevention
Mohamed Mysara, Public Sector Principal Business Solutions Manager at SAS, says AI is transforming predictive policing, enabling law enforcement to proactively prevent crime by leveraging machine learning and advanced analytics. How is AI enhancing predictive policing and helping law enforcement prevent crimes before they happen? At SAS, we help law enforcement agencies move from being reactive to becoming truly proactive in crime prevention. It's about giving them the tools that operationalise intelligence, combining AI, machine learning, and geospatial analytics to predict threats before they occur. This allows agencies to integrate massive volumes of diverse data from historical criminal records, behavioural patterns and open-source intelligence into a unified analytical environment. Within this environment, AI models begin to pick up early signals of potential threats or emerging criminal patterns. That means agencies can forecast where crimes are more likely to happen, identify repeat offenders, and even run simulations to plan for different threat scenarios. This proactive, data-driven approach enables police commanders and decision-makers to shift from reactive incident response to strategic intervention planning, optimising resource deployment to enhance community protection in the long run. In what ways are advanced analytics improving evidence-based decision-making for law enforcement agencies? What we do is help investigators transform massive amounts of raw data into actionable intelligence using advanced hybrid analytics. For example, SAS Law Enforcement Intelligence solution allows agencies to ingest both structured and unstructured data, enrich it with contextual metadata, and apply advanced analytics for search, discovery, and link analysis through SAS Visual Investigator (VI). Investigators benefit from interactive timelines, entity resolution, and network visualisations that uncover hidden relationships and support deeper investigative insight. These capabilities help build stronger case narratives, prioritise high-value leads, and allocate resources where they're needed most. And of course, every insight is fully traceable, explainable, and governed by robust analytical processes. So, investigators aren't just working faster – they're working smarter, and with more confidence. How do AI-driven surveillance and real-time data analytics impact response times and crime prevention? This is where SAS has an especially strong impact. Our real-time analytics and event stream processing (ESP) capabilities enable law enforcement agencies to detect threats and respond faster and more effectively in the moment. Agencies can analyse multi-source data streams, identify anomalies, and alert officers to suspicious behaviour or any escalating activity as it unfolds. Combined with automation and intelligent routing, these insights are delivered instantly to the appropriate personnel or systems. Such an approach minimises response delays and ensures that the right eyes are on the case before the situation escalates. This kind of speed and precision is crucial in high-risk environments such as airports, border crossings, and critical infrastructure – places where every second matters. What are the ethical considerations in using AI for law enforcement, and how can agencies ensure transparency and accountability? The highest ethical standards must govern the use of artificial intelligence (AI) in law enforcement. We are committed to delivering the tools to ensure transparency, fairness, and accountability. Through our AI Governance framework, we help agencies detect bias, ensure model explainability, data lineage, and audit trails. It is crucial that each decision made by an algorithm can be traced, reviewed, and justified. Law Enforcement Agencies can define policies around model validation, responsible data access, and automated documentation to ensure compliance with regulatory and societal expectations. In sensitive domains like public safety, AI systems must be not only intelligent but also trustworthy and explainable. How is AI transforming investigations in areas such as financial crime, cybercrime, and digital forensics? We are all witnessing how AI is redefining the speed, depth, and precision of modern investigations. As financial crimes become increasingly complex and sophisticated, it is essential for investigators to stay one step ahead of the fraudsters. We apply machine learning to detect complex patterns of fraud, money laundering, and anomalous transactions in near real-time. For cybercrime, behavioural analytics models monitor network activity to uncover subtle threats that traditional rule-based systems often miss. In digital forensics, SAS provides a holistic view of device-extracted data. Instead of sifting through it manually, our tools organise and connect the dots, turning raw digital evidence into something that's searchable and actionable. Combined, these capabilities accelerate investigations, enhance case outcomes, and empower agencies to stay ahead of increasingly complex criminal activity. What role do autonomous AI agents play in assisting law enforcement with intelligence gathering and threat assessment? Autonomous AI agents, known as Agentic-AI, represent a major leap in how SAS supports law enforcement. AI agents can simulate investigative procedures, interact with data sources, and autonomously perform analytical tasks based on predefined policies, historical patterns, and real-time inputs. For example, an agent can detect an emerging threat, cross-reference it with historical data, evaluate risk levels, and trigger alerts or allocate resources, all without requiring manual intervention. These agents augment human analysts, reduce time to insight, and bring a new level of adaptive, self-operating intelligence to policing environments. How are AI-powered solutions helping address challenges like officer safety, resource allocation, and operational efficiency? SAS supports officer safety and operational efficiency by enhancing situational awareness and optimising resource deployment. Predictive models help identify high-risk individuals or locations, enabling smarter, safer resource allocation and supporting tactical decision-making in real time. Through advanced optimisation algorithms and forecasting engines, agencies can plan shifts, allocate personnel, and manage workloads with precision. Technologies like SAS SpeedyStore have real-time dashboards that provide police commanders with complete visibility across deployments, helping reduce risk, improve coverage, and respond effectively to changing conditions. With AI co-pilots and automated decision-making flows, frontline teams can focus on mission-critical operations while minimising administrative overhead. What does the future hold for AI-driven public safety, and how can agencies prepare for the next wave of technological advancements? There is growing momentum around agentic systems, digital twins, multimodal interfaces, and cross-agency data ecosystems, and SAS is at the forefront of enabling this future. We're helping agencies develop AI agents that not only detect threats but also initiate autonomous actions across investigative and operational workflows. Generative AI and AI copilots assist officers in generating case summaries, reports, and investigative leads in natural language, streamlining administrative tasks and enhancing decision-making. To fully embrace this evolution, agencies must invest in AI upskilling and adopt responsible AI governance frameworks. SAS is already partnering with forward-thinking law enforcement and public safety entities to lay these foundations, empowering them to stay ahead of crime and rapid technological change. 0 0
Zawya
19-05-2025
- Zawya
SAS unveils the future of AI-powered policing at World Police Summit 2025
Dubai, UAE — SAS, a global leader in data and AI, demonstrated its transformative capabilities for modern law enforcement and public safety at the World Police Summit 2025, held in Dubai from May 13–15. At the event, SAS highlighted how data-driven intelligence is enabling safer cities, smarter policing, and greater public trust through solutions in AI, machine learning, and advanced analytics. SAS booth featured immersive, real-time demonstrations of its latest innovations, including autonomous AI agents, digital twins, AI co-pilots, and trusted AI governance frameworks. These technologies are being actively applied to critical areas such as organized crime detection, child protection, financial crime investigation, narcotics enforcement, and digital forensics. Michel Ghorayeb, Managing Director of SAS UAE, emphasized the urgency and opportunity for agencies to modernize: 'As the world evolves, crime is becoming more sophisticated, data more abundant, and threats more versatile than ever. No agency can face this complexity alone. Collaboration powered by AI and intelligent decisioning is now essential to predict, detect, and respond with precision. These technologies empower officers to stay ahead of evolving threats and deliver safer outcomes. In today's landscape, technology is no longer optional, it has become the foundation of modern policing.' AI and Agentic Intelligence Reshaping Aviation Operations At the World Police Summit, Mohamed Mysara, Public Sector Principal Business Solutions Manager at SAS, showcased how AI and Agentic Intelligence are redefining the aviation landscape. Mysara highlighted real-world use cases where SAS enables airports and authorities to move from reactive to autonomous operations, from early warning and risk detection to real-time resource reallocation and cross-agency coordination. He demonstrated how Agentic AI not only delivers role-specific intelligence, but also takes proactive action, reallocating gates and resources during flight delays or unforeseen circumstances, alerting third-party vendors, mobilizing and optimizing staffing With a SAS Viya unified platform built on trustworthy AI, SAS is shaping the future of smarter, safer, and data-driven air travel. Unlocking the Power of AI in Law Enforcement As policing organizations navigate increasingly complex threat landscapes, the necessity for integrated solutions to accelerate decision-making and investigative outcomes becomes evident. SAS showcased a series of live demos, each tailored to specific investigative and operational needs. Key highlights included: Agentic AI: This demo illustrates how autonomous AI agents interact with regulations, procedures, and historical data to answer complex legal and investigative questions. Visual analytics and explainable AI outputs aid transparency and situational awareness. Digital Forensics Analysis: A 360-degree visualization of device-extracted data, enabling fast pattern recognition across files, communications, and media to build stronger, faster case narratives. Network Analysis: Cutting-edge network analysis uncovered hidden links between digital actors, helping investigators trace threats and dismantle cybercrime networks. AI-Powered Digital Assistant: Integrated with SAS Viya, the assistant simplifies data access, report generation, and analytical interactions through natural language interfaces—democratizing advanced analytics for every user. ISR Integration: This solution combines real-time data from surveillance sensors, drones, and geospatial systems to detect threats and support mission-critical actions in defense and security operations. Financial Intelligence: Tailored for Financial Intelligence Units (FIUs), this demo showed how SAS helps detect suspicious transactions, screen watchlists, and comply with anti-money laundering laws through an integrated analytics environment. A Trusted Partner for Public Secor SAS has a long-standing commitment to empowering public sector organizations in the Middle East and beyond. In the UAE, SAS has contributed to impactful initiatives including cooperation with Dubai Police, Emirates Health Services, Aby Dhabi Early Childhood Authority. With AI adoption accelerating globally, SAS is proud to be at the forefront of data innovation for law enforcement. By combining domain expertise, advanced analytics, and trusted governance, SAS is enabling agencies to act faster, smarter, and with greater confidence. To learn more about how SAS is helping public safety agencies modernize operations and protect communities, visit
Channel Post MEA
15-05-2025
- Channel Post MEA
SAS Unveils AI Agents with Customizable Human-AI Interaction
SAS announced the availability of SAS Intelligent Decisioning on industry-leading data and AI platform SAS Viya – empowers organizations to design, deploy and scale AI agents with balanced human and AI autonomy, embedded governance and explainability of decisions. AI agents get decisioning support with ethical calibration True enterprise value from agentic AI comes from building collaborative, intelligence-amplifying systems that work with humans. SAS Viya's agentic AI framework is underpinned by three pillars that define how AI agents are designed and delivered: Applying a hybrid approach that combines the rigor of powerful deterministic analytics with the flexibility and reasoning of large language models (LLMs) enables customers to build AI agents that deliver precise and reliable outcomes, with the necessary business guardrails and rules required in regulated industries. Human and AI balance. SAS enables organizations to determine the appropriate level of AI autonomyand human involvement for AI agents based on task complexity, risk, and business goals. AI agents can operate fully autonomously in routine, data-driven tasks while humans provide oversight, ethical judgment, and strategic direction. SAS' built-in governance framework enables customers to build AI agents that not only deliver accurate outcomes but also adhere to ethical standards, maintain data privacy, align with business values and stand up to regulatory scrutiny. The future of agentic AI, powered by SAS Viya SAS Viya supports organizations through every stage of the agentic AI journey, from data ingestion and analysis to building, deploying and monitoring AI agents. It enables continuous performance tracking, governance and security, offering a comprehensive and streamlined approach to managing AI agents throughout their lifecycle. And SAS brings decades of trusted governance to the table, embedding auditability, bias detection and compliance into every agent. SAS' future agentic AI roadmap includes infusing co-pilot productivity assistants into SAS Viya to help users work faster, smarter and with fewer manual steps, while staying grounded in enterprise logic. Leaning into its deep industry expertise, SAS also plans to deliver pre-packaged, domain-specific intelligent agents that will integrate seamlessly into industry workflows (e.g., data engineering tasks, optimizing supply chains), helping organizations accelerate time-to-value without sacrificing control or confidence. 'SAS Viya builds agents that don't just act – they decide with purpose, guided by analytics, business rules and adaptability and grounded by decades of SAS' trusted governance,' said Marinela Profi, Global AI Market Strategy Lead at SAS. 'SAS' unified, governed, decision-first framework turns AI agents from a science experiment to a business differentiator.' 0 0
