By 2029, more than 75% of operations processed in untrusted infrastructure will be secured in-use by confidential computing.
#security
#security
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1. AI-Native Development Platforms
AI-native development platforms use generative AI to accelerate software creation, empowering small, agile teams or even non-technical domain experts to build applications faster and with built-in governance.
#gartner2026
AI-native development platforms use generative AI to accelerate software creation, empowering small, agile teams or even non-technical domain experts to build applications faster and with built-in governance.
#gartner2026
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2. AI Supercomputing Platforms
AI supercomputing platforms integrate CPUs, GPUs, AI ASICs, and neuromorphic computing to deliver unprecedented performance, efficiency, and scalability. These systems orchestrate complex workloads across machine learning, analytics, and simulation, accelerating breakthroughs in industries from biotech to finance.
#gartner2026
AI supercomputing platforms integrate CPUs, GPUs, AI ASICs, and neuromorphic computing to deliver unprecedented performance, efficiency, and scalability. These systems orchestrate complex workloads across machine learning, analytics, and simulation, accelerating breakthroughs in industries from biotech to finance.
#gartner2026
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3. Confidential Computing
Confidential computing protects data in use by isolating workloads within trusted execution environments (TEEs).
#gartner2026
Confidential computing protects data in use by isolating workloads within trusted execution environments (TEEs).
#gartner2026
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4. Multiagent Systems (MAS)
Multiagent systems are networks of specialized AI agents that collaborate to achieve shared goals. This modular approach enables organizations to automate complex workflows, reuse proven solutions, and scale more efficiently across distributed environments.
#gartner2026
Multiagent systems are networks of specialized AI agents that collaborate to achieve shared goals. This modular approach enables organizations to automate complex workflows, reuse proven solutions, and scale more efficiently across distributed environments.
#gartner2026
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5. Domain-Specific Language Models (DSLMs)
Domain-Specific Language Models (DSLMs) are AI models trained or fine-tuned on specialized datasets designed for specific industries, business functions, or processes. They understand the context, terminology, and nuances unique to a given domain, delivering results that are more accurate, relevant, and compliant. DSLMs bridge the gap between generic AI and real-world enterprise needs by offering higher precision, lower costs, and stronger governance.
#gartner2026
Domain-Specific Language Models (DSLMs) are AI models trained or fine-tuned on specialized datasets designed for specific industries, business functions, or processes. They understand the context, terminology, and nuances unique to a given domain, delivering results that are more accurate, relevant, and compliant. DSLMs bridge the gap between generic AI and real-world enterprise needs by offering higher precision, lower costs, and stronger governance.
#gartner2026
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6. Physical AI
Physical AI brings intelligence into the real world, powering robots, drones, and smart machines that can sense, decide, and act autonomously.
#gartner2026
Physical AI brings intelligence into the real world, powering robots, drones, and smart machines that can sense, decide, and act autonomously.
#gartner2026
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7. Preemptive Cybersecurity
As digital threats escalate, cybersecurity is shifting from reactive defense to proactive prediction. Preemptive cybersecurity leverages AI-powered analytics, deception, and automation to detect and neutralize threats before they occur, transforming how organizations manage cyber risk.
#gartner2026
As digital threats escalate, cybersecurity is shifting from reactive defense to proactive prediction. Preemptive cybersecurity leverages AI-powered analytics, deception, and automation to detect and neutralize threats before they occur, transforming how organizations manage cyber risk.
#gartner2026
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Preemptive #Cybersecurity Technologies Will Account for over 50% of IT #Security Spending by 2030, Up from Less Than 5% in 2024,
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8. Digital Provenance
Digital provenance ensures that data, software, and AI-generated content can be verified and traced back to their source. It strengthens transparency and compliance across complex digital supply chains using attestation databases, watermarks, and software bills of materials (SBoMs).
#gartner2026
Digital provenance ensures that data, software, and AI-generated content can be verified and traced back to their source. It strengthens transparency and compliance across complex digital supply chains using attestation databases, watermarks, and software bills of materials (SBoMs).
#gartner2026
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9. AI Security Platforms
AI security platforms provide centralized visibility and protection across all AI systems for both in-house and third-party. They defend against AI-specific risks such as prompt injection, data leakage, and rogue agents, helping CIOs establish consistent governance and usage policies.
#gartner2026
AI security platforms provide centralized visibility and protection across all AI systems for both in-house and third-party. They defend against AI-specific risks such as prompt injection, data leakage, and rogue agents, helping CIOs establish consistent governance and usage policies.
#gartner2026
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10. Geopatriation
In an era of rising geopolitical risk, geopatriation refers to shifting workloads from global public clouds to sovereign or regional infrastructures to maintain data control, privacy, and compliance. This movement supports regulatory alignment and builds trust with customers and governments.
#gartner2026
In an era of rising geopolitical risk, geopatriation refers to shifting workloads from global public clouds to sovereign or regional infrastructures to maintain data control, privacy, and compliance. This movement supports regulatory alignment and builds trust with customers and governments.
#gartner2026
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From Smart Home To Intelligent Home
What’s the difference? Well, smart home devices have been with us for a while, and often they aren’t really that smart—they’re just connected (think of lightbulbs, heating systems and kitchen appliances we can control over the internet). Truly intelligent homes, however, utilize AI to “think” and make decisions for us. This means AI assistants acting as virtual housekeepers, coordinating the activity of smart appliances, entertainment and security devices.
#ai #smart #intelligent
What’s the difference? Well, smart home devices have been with us for a while, and often they aren’t really that smart—they’re just connected (think of lightbulbs, heating systems and kitchen appliances we can control over the internet). Truly intelligent homes, however, utilize AI to “think” and make decisions for us. This means AI assistants acting as virtual housekeepers, coordinating the activity of smart appliances, entertainment and security devices.
#ai #smart #intelligent
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Composable Enterprise Architecture (CEA)
In 2025, composable architecture is set to become the backbone of enterprise software. CEA allows businesses to build digital systems from interchangeable components that can be quickly reassembled as market conditions or strategies evolve. This modular approach enhances business agility by enabling rapid iteration and customization without major overhauls. The composable enterprise architecture concept also integrates low-code and no-code platforms, empowering non-technical stakeholders to contribute directly to application development.
#architecture #cea #software
In 2025, composable architecture is set to become the backbone of enterprise software. CEA allows businesses to build digital systems from interchangeable components that can be quickly reassembled as market conditions or strategies evolve. This modular approach enhances business agility by enabling rapid iteration and customization without major overhauls. The composable enterprise architecture concept also integrates low-code and no-code platforms, empowering non-technical stakeholders to contribute directly to application development.
#architecture #cea #software
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Microservices: The building blocks or components of composable solutions are often called “microservices”. Each microservice has its own codebase, deployment process, configurations and scalability options. This modularity allows DevOps teams to work autonomously, deploy changes more frequently and scale distinct apps independently.
API-first: This principle emphasizes the use of a clear and consistent API management approach to enable communication between components. Since application programming interfaces are interoperable by design, they ensure a predictable flow of data across the system, even when individual components are replaced.
Cloud-native: Composable architectures realize their full potential in the cloud. Modern cloud offerings, such as serverless and auto-scalable architectures, provide unparalleled levels of scalability, elasticity and resilience. These characteristics perfectly complement the inherent flexibility and dynamism of a composable system.
Headless: This design approach decouples an app’s front end from its back end. This allows developers to build tailored user experiences for different touchpoints, including websites, smartphone apps, kiosks, conversational interfaces and smartwatches.
API-first: This principle emphasizes the use of a clear and consistent API management approach to enable communication between components. Since application programming interfaces are interoperable by design, they ensure a predictable flow of data across the system, even when individual components are replaced.
Cloud-native: Composable architectures realize their full potential in the cloud. Modern cloud offerings, such as serverless and auto-scalable architectures, provide unparalleled levels of scalability, elasticity and resilience. These characteristics perfectly complement the inherent flexibility and dynamism of a composable system.
Headless: This design approach decouples an app’s front end from its back end. This allows developers to build tailored user experiences for different touchpoints, including websites, smartphone apps, kiosks, conversational interfaces and smartwatches.
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Any front-end framework needs three things to be able to respond to interactivity:
Associating event handlers: The framework must have a way to associate DOM elements with their corresponding event handlers, which are the functions that respond to user input and enable interaction with your website.
Associating event handlers: The framework must have a way to associate DOM elements with their corresponding event handlers, which are the functions that respond to user input and enable interaction with your website.
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