Intuitive AI Works

Intuitive AI Works

Artificial Intelligence has gone from an innovative and intriguing concept to becoming an integral part of daily life. More and more we interact with AI every day, Netflix, Amazon, Pinterest, Kindle and more are common recommendation engines in constant use. Now AI is becoming even more natural and human through the development of Intuitive AI.

Intuitive AI behaves more like a human and less like a machine. It mimics human cognition and behavior through machine learning techniques instead of programmed instructions.

Natural Language Processing – NLP algorithms allow Intuitive AI systems to analyze, understand, and generate human language. This enables natural conversational interfaces.

Emotional Intelligence – EI is used to support AI’s ability to understand human intention and contextual cues in text, allowing AI to respond empathetically and recognize a positive, negative, or neutral sentiment.

Common Sense Reasoning – CSR applies vast datasets of human behavior to AI learning which enables AI models to gain understanding of everyday human life experiences. AI can then better contextualizes information and situations.

Self-Supervised Learning – SSL enables AI to learn from unlabeled data, identifying inherent structures and relationships, thereby lessening AI’s reliance on labeled data.

Reinforcement Learning – RL allows AI to learn through trial-and-error interactions, maximizing rewards and minimizing penalties.

Through these techniques, AI continuously becomes exponentially smarter and more accessible.

Intuitive AI Benefits

Seamless User Experiences – Intuitive AI enhances user experience by knowing what they are trying to accomplish while they are doing it. It removes pain points by enabling natural interactions using plain language conversations and anticipating intentions to proactively provide relevant suggestions, information and documents.

Exploiting Enterprise Data – Companies today are rich in data but poor in intuitive understanding; critical information is often stored in siloed systems and unstructured formats such as emails, chats and documents. Intuitive AI ingests huge volumes of unstructured data, identifies relationships among the data, and generates summaries, sentiment analyses, recommendations, forecasts and other types of business intelligence.

Normalizing AI – Intuitive AI greatly expands access to AI by supplying pre-trained AI models, user-friendly interfaces and use of unlabeled data. This makes AI automation feasible for businesses of all sizes. Users can easily configure Intuitive AI systems without coding skills. Employees can access AI using natural language conversations. Companies can infuse AI into their business processes regardless of size and technical acumen.