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AI TRiSM Technology |
Supports AI model governance, trustworthiness, fairness, reliability, robustness, transparency, and data protection. |
| 2 |
Continuous Threat Exposure Management |
A pragmatic and systemic approach to continuously adjust cybersecurity optimization priorities.
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| 3 |
Sustainable Technology |
A framework of digital solutions used to enable environmental, social, and governance (ESG) outcomes that support long-term ecological balance and human rights.
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| 4 |
Platform Engineering |
The discipline of building and operating self-service internal platforms — each platform is a layer, created and maintained by a dedicated product team, designed to support the needs of its users by interfacing with tools and processes.
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| 5 |
AI-Augmented Development |
The use of AI technologies, such as generative AI and machine learning (ML), to aid software engineers in creating, testing, and delivering applications.
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| 6 |
Industry Cloud Platforms |
Address industry-relevant business outcomes by combining underlying SaaS, PaaS, and IaaS services into a whole product offering with composable capabilities.
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| 7 |
Intelligent Applications |
Consumer or business applications that are augmented with AI and various connected data from transactions and external sources.
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| 8 |
Democratized Generative AI |
The ability to create net new content (images, speech, text, and more) and its widespread availability will democratize access to information and skills, making it one of the most disruptive trends of this decade.
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| 9 |
Augmented Connected Worker |
A strategy to optimize the value delivered by human staff by establishing a connective tissue that optimizes the use of intelligent technology, workforce analytics, and skill augmentation to accelerate and scale talent building.
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| 10 |
Machine Customers |
Nonhuman economic actors purchase goods and services in exchange for payment. |
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