FAQs

What is Artificial Intelligence (AI)? 

AI is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision making, creativity and autonomy. 

  • Machine Learning: using sample data to train computer programs to recognize patterns based on algorithms 
  • Neural Networks: Computer systems designed to imitate the neurons in a brain 
  • Natural Language Processing: the ability to understand speech and understand/analyze documents 
  • Large language models (LLMs): machine learning models training a neural network on massive amounts of data, using natural language processing, in order to perform a wide range of tasks like generating text, translating, and answering questions. 

What is Agentic AI? 

Agentic AI is a type of artificial intelligence that can take action on its own to complete tasks. Instead of waiting for step-by-step instructions, it figures out what needs to be done within certain boundaries and gets it done, like having a helpful assistant that doesn’t need constant guidance. 

What is Multimodal? 

Sphere’s multimodal AI capabilities mean it can process and generate multiple types of data—text, images, audio, and more. This versatility allows Sphere to provide richer, more actionable insights and solutions, bridging the gap between complex data sources and user needs. 

What is a Chatbot? 

chatbot is a computer program that simulates and processes human conversation (either written or spoken), allowing humans to interact with digital devices as if they were communicating with a real person. Chatbot interfaces with generative AI can recognize, summarize, translate, predict and create content in response to a user’s query without the need for human interaction. 

What is an Agent? 

Imagine a digital coworker that can learn, adapt, and handle tasks for you. AI Agents are programs with “agency” that use sophisticated reasoning and iterative planning to make decisions, take actions, autonomously solve complex multi-step problems and interact with external environments beyond the data upon which the system’s machine learning (ML) models were trained. Advanced AI assistants can run complex workflows autonomously. 

What is hyper-intelligence? 

Hyper-intelligence is dynamic, advanced version of AI, with multi-dimensional processing and decision-making capabilities which enable complex queries, data-driven insights, and actionable outcomes. Processing vast amounts of data, hyper-intelligence is adaptable, customizable, context aware, cognizant of user intent, and capable of analytics that go beyond telling what is happening to providing actionable insight on what to do and how to do it.