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Download the Gartner® Report | Predicts 2023: Simulation Combined With Advanced AI Techniques Will Drive Future AI Investments

According to a Gartner report, “by 2026, organizations that do not build AI model observability capability will see a 20% decrease in the number of models running in production due to maintenance overheads.”

As AI technologies continue to become mainstream in enterprises, IT leaders must differentiate their organizations by implementing simulation platforms that integrate advanced analytics and realigning their teams with a cognitive science focus. This approach will enable companies to address the significant challenges associated with developing AI models, such as collecting enough data and validating models’ accuracy.

The report mentions that “Simulations, which are computational models that emulate the real or virtual worlds, are the ideal AI environments because they are easy to reuse and scale, provide a common world model, enable multiagent training and generate rare scenarios.” With simulation, organizations can create trials, scenarios, and environments that allow for the rapid refinement of AI systems and enable organizations to test models in controlled settings before pushing them into production.

Moreover, IT leaders can benefit more from their AI investments by modernizing AI practices. For example, simulation can enable IT leaders to develop more sophisticated and intelligent systems tailored to specific use cases.

Combining simulation with advanced analytics also helps organizations identify patterns and insights to optimize both AI models and business processes. To capitalize on these benefits, IT leaders must develop a cognitive science focus emphasizing the critical skills required to build and deploy intelligent systems, including data science, machine learning, and natural language processing. By doing so, organizations can stay at the forefront of AI innovation, helping them remain competitive in increasingly crowded markets.

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Download this insightful and elaborative Gartner Predicts 2023: Simulation Combined With Advanced AI Techniques Will Drive Future AI Investments report to get detailed insight, assumptions and recommendations covering the following key findings:

    • General-purpose AI Simulation Platforms are emerging to address the issues of scale, complexity, and reusability. Simulations, which are computational models that emulate the real or virtual worlds, are ideal AI environments because they are easy to reuse and scale, provide a common world model, enable multi-agent training, and generate rare scenarios.
    • The shift from model-at-a-time approaches to a more distributed systems theory approach cannot scale without reducing technical debt — which today lies primarily in domain modeling and composite AI assemblies (projects). Today, experts use various tools and methods, thwarting reuse and deeper collaboration.
    • AI models are increasing in number and complexity to where changes in data, code, infrastructure, applications, internal or external services, or even business processes can lead to a loss in predictive accuracy, unintended model outputs, or outright model failure. This fragmentation hampers the ability to observe AI model behavior throughout the life cycle.
    • Foundation models are rapidly evolving to be multimodal, enabling them to serve new use cases such as text-to-image, text-to-code, and scientific use cases (e.g., drug discovery and chemical formulation).
Gartner, Predicts 2023: Simulation Combined With Advanced AI Techniques Will Drive Future AI Investments, Anthony Mullen, Chirag Dekate, et al., 10 January 2023.  

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