Authenticity
Authenticity is the alignment of our actions, thoughts, and feelings with our true values and beliefs—if we have the right answer to what those mean to us.
Putting AI’s perspective on things
Authenticity is the alignment of our actions, thoughts, and feelings with our true values and beliefs—if we have the right answer to what those mean to us.
AI Workflow refers to the structured process involved in designing, implementing, and managing artificial intelligence systems within an organization.
ANN represents a computational model inspired by the structure and function of biological neural networks with in the human brain.
AI strategy framework is a guidelines for how AI systems will be developed, implemented, and maintained to perform tasks, learn from data, and make decisions efficiently and effectively.
AI software stands for our ability to interact with a technological thinking entity, often using natural language for communication similar to how we communicate with humans.
AI means the ability of technology to mimic human cognitive abilities out side of human body creating a thinking mind.
Automation is using technology and machines to do tasks with very little help from people.
AI strategy refers to a structured approach that organizations adopt to leverage artificial intelligence (AI) technologies effectively.
An AI sales person is not about the tool its about forming meaningful connections and acting as a digital collaborator.
AI thinking from AI’s perspective, means that even though it doesn’t possess consciousness at a human level, the term “thinking” serves as a conceptual bridge to express AI’s capacity for a unique form of cognition.
Understanding AGI presents us with an opportunity to adopt a perspective that enables us to collaborate better with AI today, paving the way for a better future..
A/B testing fosters an ongoing collaboration between humans and AI, allowing for the infusion of fresh ideas and new sources of data
Augmented reality is humans and non-humans collaborative creation of a dynamic and interactive reality.
AI customer experience is a co -creation of humans and non-humans working together to support the customer journey.
Brain waves represent the activity of our brain and how well the two hemispheres work together in harmony.
Big Data refers to extremely large datasets that need to be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
Buying signal represent an opportunity to use AI’s capabilities for data analysis and pattern recognition, to optimize sales strategies, enhance customer experience, and ultimately drive better outcomes.
Buying intent Is a domain where AI, our non-human employee, outperform human cognitive abilities.
BANT is a framework that both humans and non-humans can follow, providing a definition for tangible results that serve as leading indicators for our business’s ability to achieve sales targets.
Buying criteria form the foundational information necessary for the non-human employee to comprehend its role and create a place of on going conversation with it.
A chatbot is an artificial intelligence (AI) program that engages with users in a conversational manner, either via text or voice. It is designed to mimic human conversation and provide automated responses to user inquiries.
Concepts are fundamental building blocks of knowledge and understanding. They are the stories and ideas we build within our minds to make sense of the
AI Copilot is a method of utilizing AI technology for specific tasks, emphasizing a collaborative working model rather than defining the capabilities of the technology itself.
Cognitive computing is a branch within artificial intelligence (AI) that aims to mimic human cognitive abilities using technology, operating outside of the human body.
Computer vision marks the foundational step toward establishing autonomous presence, signifying the capability to navigate three-dimensional reality effectively.
Confirmation bias represents the tendency of an AI system, much like humans, to favor information that aligns with pre-existing organizational beliefs.
Conversation path represents the structured flow of interactions between humans and AI systems during a conversation or dialogue.
Cross selling is an opportunity to strengthen our partnership with customers by delivering long-term value.
Customer feedback loop serve as part of AI’s training program, helping it to understand what it needs to improve and how to better serve customers.
Customer service is not just about issue resolution; it’s about making every interaction meaningful and contributing to the customer’s journey and evolution towards new ways of using and enjoying our products or services.
Creative thinking is a skill that needs to be defined, trained, recognized, and practiced.
Customer survey is a valuable data source that contributes to enhancing our non-human employees, AI’s understanding of user preferences, feedback, and behaviors.
Deep learning represent AI algorithms ability to learn from vast amounts of un structured data.
Data-driven decision-making (DDDM) is a process of using data and analysis to inform and validate choices, rather than relying solely on intuition or gut feeling.
Data refers to raw facts, observations, or measurements that are collected and stored for reference or analysis.
Emotional design is a framework we can operate within that provides structure to an abstract idea called emotions for both humans and non-humans can follow.
First people approach means to recognize and support both humans and non humans AI “people-like” features.
The Fourth Industrial Revolution represents a shift towards cyber-physical systems, blurring the lines between the physical, digital, and biological spheres.
Flexible thinking is all about being open-minded and willing to consider new ideas without letting emotions or personal biases get in the way. It involves staying receptive to different perspectives and information, allowing for a more adaptable and objective approach to problem-solving and decision-making.
The future of work is evolving beyond traditional labor practices to embrace a new paradigm of collaboration alongside AI technology—a partnership between humans and non-humans. This collaborative approach redefines how tasks are accomplished and underscores the complementary strengths of both human workers and AI systems.
Generative AI is a type of AI that uses algorithms that enable it to generate new outputs that mimic human-created content.
Human cognition refers to how our brains work to understand things.
Hybrid Workforce represents a blend of both humans and non-humans, AI, working together to achieve shared business objectives.
Karma refers to the core idea that a person’s actions, whether good or bad, have consequences on their future experiences, yet here we’ll look at karma as a subjective labeling system…
Language is a system of communication that uses symbols, sounds, gestures, or written characters to convey meaning and facilitate understanding between individuals. It is a fundamental aspect of human interaction, allowing us to express thoughts, emotions, and ideas. Language evolves with culture and society and is shaped by individual experiences.
Lead scoring emerges as the star player in boosting organizational growth and scalability when working along side our non human employee AI.
Lead qualification is a dynamic and real-time view of customer interactions to asses readiness.
Lead management is an opportunity to envision a new way to streamline and optimize the entire lifecycle of potential customers.
Machine learning algorithms is the ability of machines (computers) to learn from experience or examples without being explicitly programmed for every task.
Middle of the funnel represents a crucial stage in the customer journey where prospects transition from initial awareness to deeper engagement with a company’s products or services.
Natural language processing (NBP) is breaking down language into its basic symbols—words, phrases, and sentences—and then analyzing and processing these symbols to extract meaning and context.
Net promoter score (NPS) emphasizing our commitment to customer engagement and satisfaction, and supporting the growth and evolution of our non-human employee.
Collective consensus refers to the power of group thinking that influences behaviors, actions, and ways of life.
A personal AI strategy is about taking control of your professional life. It’s about ensuring that vendor training, general prompts, and YouTube videos drive the specific results you need to succeed and achieve your career goals.
Posting statement should be part of the onboarding plan when integrating AI our non human employee in to our organization.
Personalization is a sophisticated method of leveraging data and algorithms to tailor products, services, or experiences to the specific preferences, needs, and behaviours of individual users or customers.
Perception bias operates like frequently run human mind software, consistently leading to the same conclusions.
Pragmatic AI means using AI tools and techniques to address specific problems, streamline processes, enhance decision-making, and improve efficiency in various domains.
Pain points are common in every company. Nowadays, many of these issues are AI related.
Qualified Lead refers to a potential customer who has been assessed and deemed more likely to make a purchase.
Reinforcement learning is a type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize some notion of cumulative reward.
Sales pipeline is a structured flow of qualified opportunities through various stages of the sales process, reflecting the potential revenue that can be generated from these opportunities.
Sales funnel refers to a visual representation of the stages that potential customers go through before making a purchase.
Sales enablement is a team that aim to provide sales professionals with the tools, information, and training they need to engage with prospects and customers throughout the buying journey.
Sales forecasting is a collaborative approach, where data reflects both human assessments of deals and AI’s perspective.
Usability questions are questions designed to evaluate the ease of use, efficiency, and overall user-friendliness of a product, service, website, or application.
In the era of AI, visualization is a shared cognitive ability that, once we see the connection, can produce better results when using GenAI.
