AI Is Building
With Your Help
Faster tractors that know
when the soil is dry.
Drones that fly over fields and drop seeds like raindrops.
Cars that drive people safely when they are tired or blind.
Ovens that stop before your cookies burn.
Watches that call for
help when someone
falls down.
Screens that speak in
sign language.
Smart chairs that help
people stand when their
legs are weak.
Games that help people
learn new languages.
Doorbells that show you
who is coming to visit.
Stories that read out in
any voice you choose.
Lights that turn on when
it gets dark.
Robots work with
doctors treating patients.
Robot machines that vacuum your house without missing a spot.
Robot machines that vacuum your pool and
clean the water.
Robots that sort food
so kids get the best
lunches.
Security cameras to
protect your property
and family.
Hats AI Wears to Help Us
In Skilled Trades
Agentic AI
Acts On Your Behalf
Agentic AI is when AI acts on your behalf. Alexa. Asking for a Bank balance. Chatbot making reservations at your request. Open AI's GPT-4 acts upon your request for data. “Siri, what’s the weather today?” Agentic AI can divide complex tasks into sub-tasks. Agentic AI is designed to act autonomously, making decisions and performing tasks to achieve specific goals with minimal human intervention.
AI-Adaptive
Adjusts To You
Adaptive AI is capable of learning from the data and changing of their behaviors over time. "It's always learning about what you like," Energy and utilities are using adaptive AI to monitor facilities that are difficult to reach and inspect, such as offshore wind turbines. Adaptive AI can scan agricultural areas with drones and other equipment can collect data, such as images or soil samples. Autonomous vehicles, also known as self-driving cars, are already using adaptive AI to navigate unpredictable environments and instantaneously react to changing circumstances -- even those they weren't initially programmed to anticipate. Adaptive AI is more capable than other technologies of identifying subtle changes in patients over time and learning how those changes are indicative of diseases in their earliest stages.
AI-Assisted
Helps You Do Tasks
The Da Vinci Surgical System, uses AI to enhance visualization and control, and AI-driven robots that can suture blood vessels or assist with microsurgery. AI-assisted refers to the use of artificial intelligence tools to help humans with tasks, processes, or creations, rather than replacing them entirely. In essence, it's a collaborative approach where AI acts as a support system, enhancing human capabilities and productivity. AI-assisted tools aim to augment human capabilities, offering suggestions, insights, or assistance, but the final decisions and creations are still made by humans. AI-assisted development leverages AI to streamline coding, debugging, and code generation.
AI-Augmented
Boosts Your Skills
AI augmented, or augmented intelligence (AI+), means using artificial intelligence to enhance human capabilities and decision-making, rather than replacing human intelligence. It focuses on creating systems where humans and AI work together synergistically. Instead of AI acting independently, AI augmentation empowers humans by providing support and insights, improving efficiency and productivity. AI enhances what humans do best, giving them extra precision, insight, or speed. Where doctors can detect cancer earlier than the human eye can see. It saves lives by combining human judgment with AI's sharp eyes.
AI-Automated
Works Alone Once Set
When AI does tasks without you watching or being involved. Once the system has been set up, AI automatically takes over and does the job. Robots sorting packages in a warehouse 24/7. This involves using AI technologies like machine learning, natural language processing, and predictive analytics to handle complex tasks that typically require human intelligence. AI is the driving force behind AI automation, enabling machines to learn, adapt, and make decisions. AI automation improves accuracy, efficiency, and decision-making by leveraging AI's analytical and learning capabilities. In essence, AI automation uses the power of AI to automate complex tasks, streamline processes, and improve decision-making, ultimately leading to increased efficiency, reduced costs, and better business outcomes.
AI-Collaborative
Works Side By Side
Human-AI collaboration is the merger of people and AI-driven technologies to create or produce things and knowledge. AI collaborative, also known as collaborative intelligence or human-AI collaboration, refers to the synergy between human intelligence and artificial intelligence, where both entities work together to achieve a common goal. It involves humans and AI systems taking on different roles based on their respective strengths, complementing each other to achieve greater efficiency and effectiveness. . AI excels at tasks like data processing, pattern recognition, and repetitive tasks, while humans bring creativity, critical thinking, and contextual understanding. By combining these strengths, organizations can achieve more complex results.
AI-Driven
Leads Data-Based Decisions
What are AI-Driven products: Manufacturing robots. Self-driving cars. Smart assistants. Healthcare management. Automated financial investing. Virtual travel booking agent. Social media monitoring. Marketing chatbots. “AI-driven” describes a process that is powered by the capabilities of artificial intelligence. AI is well-suited to analyze large and complex "AI-driven" means that artificial intelligence (AI) is the primary force or influence behind a system, process, or product. It implies that AI algorithms, systems, or techniques are actively used to perform tasks, make decisions, or enhance the overall functionality of something. The term highlights that AI is the main engine or power behind the system. This means that AI is actively used in the process, rather than just being a background technology. Examples of AI-driven applications: This includes self-driving cars, AI-powered analytics for businesses, and AI-driven chatbots for customer service.
AI-Empowered Systems
Makes Systems Smarter
AI-empowered systems, also known as AI-enabled systems, are software systems that integrate one or more AI components alongside other software and hardware elements. These AI components can be anything from machine learning models to algorithms that automate tasks, providing enhanced functionality and decision-making capabilities. Essentially, AI empowers these systems to learn, adapt, and perform tasks with greater efficiency and accuracy. AI-empowered systems can be found in various applications, including autonomous vehicles, customer service chatbots, personalized healthcare recommendations, and fraud detection systems.
AI-Enabled
Only Works With AI
AI enablement is the process of equipping an organization with the necessary knowledge, resources, and infrastructure to effectively and responsibly utilize AI technologies. It's about creating an environment where AI can be seamlessly integrated into existing workflows, data sources, and business processes. AI devices are machines that use artificial intelligence (AI) to perform tasks that typically require human intelligence, such as understanding and interpreting human language, recognizing images, and making decisions.
AI-Enhanced
Improves What You Do
In essence, AI-enhanced means leveraging the power of AI to make existing systems, products, or processes better, smarter, and more efficient, without fundamentally changing their core purpose. AI-based image enhancement can automatically adjust various aspects of an image, restore low-quality or degraded images, apply artistic styles, and even simplify the editing process for non-professionals. AI can definitely enhance photos by automatically improving various aspects like resolution, sharpness, noise reduction, and color correction.
AI-Influenced
Subtly Shapes Behavior
AI influences numerous aspects of society, including how people think, behave, and make decisions. It impacts industries by improving operational efficiency, enhancing customer experiences, and driving innovation. AI also affects the job market by automating routine tasks and creating new opportunities in data science and other fields. Furthermore, AI influences our consumption habits, political opinions, and social values. AI algorithms in streaming services and e-commerce influence what we see and buy. AI significantly impacts information consumption through personalization, filtering, and the creation of echo chambers. AI is changing the way we consume content and its impact on traditional media and advertising.
AI-Informed
Gives You Insights
AI-informed, in the context of decision-making, refers to situations where Artificial Intelligence (AI) is used to provide insights, recommendations, or predictions that help guide human decisions. AI-informed decision-making leverages the power of AI to enhance and augment human decision-making, leading to more accurate, efficient, and informed outcomes. While AI can provide valuable assistance, human oversight is still necessary in many cases, especially when dealing with complex or ethically sensitive decisions. AI analyzes data, identifies patterns, and predicts outcomes, providing information that humans can use to make more informed choices.
AI-Integrated
Built Into Tools
AI integration involves incorporating artificial intelligence into existing systems, workflows, or processes to enhance their functionality and efficiency. It's about embedding AI capabilities, such as machine learning, natural language processing, or computer vision, into traditional systems to automate tasks, analyze data, and make predictions. This can lead to improved decision-making and increased operational efficiency. AI integration doesn't necessarily mean building entirely new systems from scratch. Instead, it involves taking existing systems and adding AI functionality to them. By integrating AI, systems can become more capable and perform more complex tasks. AI makes Alexa smart enough to control smart home devices like lights, thermostats, and security systems via voice or a smart home automation app.
AI-Led
Leads In Operations
AI-led operations (AIOps) uses artificial intelligence (AI) to enhance the management of complex IT environments, providing data-driven insights and automation. This approach leverages AI to detect patterns, predict issues, and make recommendations, ultimately leading to more efficient and intelligent automation of various IT processes. AI-led operations, also known as AIOps, focuses on using AI to improve IT operations. AI analyzes vast amounts of data from various IT systems to uncover patterns, trends, and potential issues that might be missed by human operators. AI can analyze network traffic patterns to detect anomalies, identify security threats, and optimize network performance.
AI-Optimized
Makes Things Efficient
AI optimization involves improving the performance, efficiency, and effectiveness of artificial intelligence models. This can include making them faster, smaller, more accurate, and more resource-efficient. Essentially, it's about finding ways to make AI systems work better and more reliably. AI optimization means improving how artificial intelligence (AI) works so it can do tasks better and faster. The process involves changing the AI's “rules” to make it smarter and more accurate, using less power and memory. Removing unnecessary connections or components within an AI model. Improving the efficiency of the algorithms used by AI models. Using AI to identify and remove unnecessary steps in business processes, leading to faster and more efficient workflows.
AI-Orchestrated
Coordinates Systems
AI orchestration is the process of managing and coordinating different AI components, such as models, data pipelines, and infrastructure, to work together efficiently within a system. It aims to streamline AI workflows, optimize resource utilization, and ensure smooth collaboration between AI tools and other technologies. Just as an orchestra works - the blending of many instruments under a conductor. AI managing flight schedules in busy airports, everywhere. AI orchestration acts as a "conductor" that helps different AI components work together, ensuring they are properly connected and interact effectively. It helps manage the entire lifecycle of AI applications, from development and training to deployment and monitoring.
AI-Powered
Products Powered By AI
"AI-powered" means a technology, system, or application that uses artificial intelligence (AI) to enhance its functionality and performance. It leverages advanced algorithms and machine learning techniques to analyze data, identify patterns, and make decisions. Essentially, it's technology that learns from data and improves its performance over time, much like a human would. AI-powered systems are driven by AI algorithms and machine learning models. These systems learn from vast amounts of data, enabling them to identify patterns and make predictions. AI-powered technologies can perform tasks like natural language processing, speech recognition, image analysis, and decision-making.
AI-Regulated
Follows Strict Rules
AI models can be biased, leading to discriminatory outcomes. Regulations are designed to address this by requiring input data, algorithm testing, and decision models to be assessed for fairness and potential biases. Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI). It is part of the broader regulation of algorithms. AI technology is evolving rapidly—typically faster than regulatory frameworks can adapt. With great power comes great responsibility. That’s true for AI systems developers, and true for the governments that regulate them.
AI-Transformed
Changes Industries
AI transformation involves using artificial intelligence to fundamentally alter business processes, products, and services to drive innovation, efficiency, and growth. It's about leveraging AI models and technologies like machine learning, natural language processing, and computer vision to create systems that automate tasks, provide data-driven insights, and improve customer experiences. AI enables businesses to analyze large datasets to gain valuable insights for better decision-making and proactive actions. AI can personalize interactions, offering customized recommendations and support through chatbots and virtual assistants. AI can detect anomalies and threats in real-time, strengthening security defenses.
Generative-AI
Creates New Content
Generative AI is a type of artificial intelligence that learns from existing data and then creates new content, such as text, images, or code, based on that learning. It's like teaching an AI to mimic human creativity, allowing it to generate new outputs that are similar to but not identical to the training data. Generative AI models are trained on massive datasets of existing content. This data can include text, images, audio, or any other type of data. The AI learns the underlying patterns and relationships within the data. For example, a text-based model might learn how words are used together in sentences. Once trained, the model can generate new content that is similar to the training data, but not a direct copy. For instance, it could generate a new poem, a realistic image, or even code. Generative AI's primary function is to create new content.