As industries like manufacturing, oil & gas, and utilities navigate the rapidly evolving landscape of digital transformation, staying ahead of IT trends has never been more critical. Gartner’s latest Hype Cycle reports highlight key technologies that are reshaping these sectors, with AI Simulation and Asset Investment Planning emerging as pivotal tools. We are thrilled to announce that Cosmo Tech, as industry leader in AI-Simulation software, has been recognized as a reference vendor in several Gartner Hype Cycle Reports this year. Our technology is at the forefront of these innovations, demonstrating the growing importance of these technologies in driving efficiency, resilience, and strategic decision-making across industrial operations.
Reports include the Hype Cycles for AI in Software Engineering, Edge Computing, IT Management Intelligence, followed by the Hype Cycle for Advanced Technologies for Manufacturing, Oil and Gas, Power and Utilities, Transportation and Smart Mobility.
Gartner’s Hype Cycles are essential tools for understanding the maturity and potential of emerging technologies. Innovations highlighted in these reports are often seen as transformational and crucial for early adoption, especially as deploying these technologies ahead of competitors can provide a significant first-mover advantage. Embracing these advancements early can position companies to lead in their industries, outpace competitors, and capitalize on new opportunities as these technologies mature.
The increased complexity in decision making is driving a heightened demand for both AI and simulation technologies. Additional key factors driving AI Simulation adoption include limited AI training data and advancements in simulation capabilities.
Within the Software Engineering and Edge Computing landscape, AI simulation significantly enhances business operations by extending AI capabilities in data-scarce areas via synthetic data generation, thereby increasing its value. It offers greater efficiency by reducing the time and cost involved in creating and using complex simulations. The robustness of AI performance is also improved as simulations generate a wide variety of scenarios that prepare AI for uncertain environments.
“The use of multiagent systems for complex problems
that require decentralized decision making cannot
be used by single AI agents.”
Furthermore, simulation reduces AI technical debt by utilizing scalable and reusable simulation environments for training future AI models, thereby lowering ongoing development costs. Advances in learned simulations, or “world models” are further enhancing AI Simulation capabilities by predicting environmental changes without extensive manual input.
Generative AI is emerging as a critical enabler of new, intelligent capabilities across a variety of domains. As technologies like generative AI and natural language processing advance, their use cases become increasingly sophisticated and adopted across multiple domains.
Additionally, Machine Learning (ML) and AI technologies will further improve these capabilities with complementary solutions like augmented Financial Operations (FinOps) and autonomous workload optimization technologies.
Generative AI facilitates the adoption of AI Simulation, helping both executive and operational decision-makers navigate more easily within the simulation and optimization outputs. Decision-makers receive immediate responses through natural language interaction and can simultaneously see detailed, robust results of simulation scenarios that inform these responses.
To fully capitalize on these advancements, leaders in innovation and digital transformation domains should collaborate on investments in AI-driven intelligence technologies. Such collaboration will not only enhance their organization’s machine learning skills but also avoid redundancy in AI technology procurement, ensuring cohesive and efficient technological transformation.
“By 2026, more than 90% of IT operations management vendors will have embedded generative artificial intelligence (GenAI) capabilities in their products and/or services,
up from less than 5% in 2023.”
Asset Investment Planning (AIP) solutions such as Cosmo Tech Asset Investment Planning provide capital decision support in asset intensive enterprises (Power and Utilities, Oil and Gas, Transportation) in prioritizing investments across infrastructure life cycle. These industries are facing pressure from multiple disruptive technologies (e.g. decarbonization, energy transition, inflation, demand uncertainty and future hypercompetition). As a consequence, they must now deliver maximum impact from digital investments.
Drivers for AIP adoption include traditional capital decision challenges where current methods, often relying on spreadsheets and historical practices, result in inefficiencies and increased risks. Heightened regulatory scrutiny necessitates more robust, data-driven decision making to justify investments and tariff adjustments.
“Current methods relying on spreadsheets and historical practices often result in inefficiencies and increased risks due to limited data analysis and subjective decision making.”
The business impact of AIP solutions is profound. AIP Solutions offer tailored investment scenarios considering factors like asset condition, criticality, and business impact, enabling organizations to evaluate multiple options and select the most optimal strategy according to their specific needs and goals. They provide the capabilities to explore these alternative scenarios leveraging high-quality data for accurate cost estimation, risk identification, and strategic alignment.
Additionally, AIP aligns with global regulatory trends, towards performance-based systems, supporting transparent, accountable asset management practices favored by regulators. As a result, organizations can enhance their decision making processes, justify their investment robustly, and adapt to evolving regulatory landscapes effectively.
Digital Twins play a crucial role in asset management by assessing situations, mapping environments, monitoring the health of asset fleet and infrastructure, and predicting outcome-based scenarios for planning and strategy. Through simulations, they improve operational performance in a virtual environment, saving time and resources compared to the physical runtime of assets.
“The business impact is significant, as they enhance
asset management by optimizing performance,
enabling predictive and prescriptive maintenance
and reducing downtime.”
For example, simulations have shown that sand impact of aircraft jet engines necessitates increased maintenance, improving safety and optimizing cost trajectories. Similarly, modeling a new airport terminal can determine passenger flow impacts, and digital twins of rail systems can help operators increase train frequency while identifying operational bottlenecks.
Digital twins also assist in planning and demand forecasting, pinpointing weaknesses in processes, assets, governance and IT competencies. They are essential for building information models, such as those needed for airports or aircraft spare part simulations to determine and optimize maintenance schedules. By monitoring carbon footprint, digital twins can monitor, simulate and achieve sustainability goals.
Ultimately, the adoption and effective use of digital twins can profoundly transform transportation and other asset-intensive industries by delivering substantial improvements in operational efficiency, cost optimization and sustainability.
Combining advanced simulation with other AI techniques such as Machine Learning and Generative AI, Cosmo Tech AI-Simulation Copilot and Simulation-Twin software delivers new predictive and prescriptive capabilities with the reliability demanded for critical decision making in large complex organizations. It enables companies to continuously improve financial performance and resilience at an unprecedented level while ensuring their net-zero carbon trajectory.
Bringing enterprise-grade, scalable AI-Simulation, the Cosmo Tech platform architecture provides digital and data teams with a comprehensive suite of tools and services, such as pre-installed domain libraries and automated creation of a highly customizable simulation engine. This allows them to effortlessly create simulation models and transform them into powerful operational tools.
Cosmo Tech’s recognition across these various Hype Cycle reports highlights our commitment to pioneering cutting-edge AI-Simulation technology, ensuring businesses can navigate the evolving technology and business landscape with greater efficiency and resilience.
