Artificial Intelligence VS Cognitive Computing

Nitor Infotech
31 Dec 202104:08

TLDRThe video script discusses the nuances between artificial intelligence (AI) and cognitive computing, highlighting their distinct roles in enhancing business processes. AI automates routine decision-making, while cognitive computing combines computer science with cognitive science to mimic and augment human intelligence, improving complex decision-making. The script emphasizes the varied applications of both technologies across industries and introduces Nidor Infotech, a company offering customized AI and cognitive computing solutions to meet specific business needs, showcasing their achievements in object recognition and cost reduction.

Takeaways

  • 🤖 Artificial Intelligence (AI) and cognitive computing are technologies designed to reduce human intervention and improve business processes.
  • 🧠 AI focuses on making decisions for mundane tasks, while cognitive computing augments human intelligence by combining computer science and cognitive science.
  • 📊 AI utilizes tools like deep learning, machine learning, and robotics to mimic human senses, learning, processing, and responses.
  • 💡 Cognitive computing goes a step further by understanding and emulating human behavior and reasoning to enhance decision-making abilities.
  • 🏢 Both AI and cognitive computing have numerous applications across various industries, but they excel in different areas depending on the complexity of the task.
  • 📚 AI is suitable for digitization and simplifying tasks, whereas cognitive computing is ideal for making complex, human-like decisions.
  • 🌐 AI is applied in areas requiring natural language processing, speech recognition, document/image processing, video analytics, and chatbots.
  • 🎯 Cognitive computing shines in sentiment analysis, facial recognition, fraud detection, risk assessment, and similar advanced analytical needs.
  • 💼 Nidor Infotech offers customized AI and cognitive computing solutions tailored to business needs, with a range of services including big data architecture and predictive modeling.
  • 🏥 The company has a track record of success in sectors like healthcare, BFSI, retail, and manufacturing, achieving high object recognition accuracy and significant cost reduction.
  • 📧 Businesses can contact Nidor Infotech at [email protected] to learn more about adopting advanced cognitive technologies.

Q & A

  • What is the primary purpose of artificial intelligence and cognitive computing?

    -The primary purpose of artificial intelligence (AI) and cognitive computing is to mitigate human intervention and enhance business processes across various fields by making decisions and augmenting human intelligence respectively.

  • How do AI and cognitive computing differ in their approach to technology?

    -AI focuses on making decisions on mundane tasks on behalf of humans using tools like deep learning and machine learning, while cognitive computing combines computer science and cognitive science to comprehend and mimic human behavior and reasoning, thus enhancing decision-making abilities.

  • What are some technologies AI uses to replicate human senses, learning, and responses?

    -AI uses technologies such as natural language processing, speech recognition, document and image processing, video analytics, and chatbots to replicate human senses, learning, and responses.

  • In what scenarios would cognitive computing be more beneficial than AI?

    -Cognitive computing is more beneficial in scenarios where complex, human-like decisions need to be made, such as in sentiment analysis, facial recognition, fraud detection, and risk assessment.

  • How does AI assist in digitizing and organizing large amounts of paper documents?

    -AI can help by digitizing paper documents and using machine learning algorithms to sort, categorize, and find hidden meanings within the data, making the information more accessible and manageable.

  • What kind of services does Nidor Infotech offer in the domain of AI and cognitive computing?

    -Nidor Infotech offers services such as big data architecture, computer vision, segmentation, insights recovery, predictive modeling, anomaly detection, time series and streaming analysis, and personalized recommendations.

  • Which industries have benefited from Nidor Infotech's AI and cognitive computing solutions?

    -Nidor Infotech has helped companies in sectors like healthcare, BFSI (Banking, Financial Services, and Insurance), retail, and manufacturing with their AI and cognitive computing solutions.

  • What are some achievements Nidor Infotech has made with their AI-based solutions?

    -Nidor Infotech has achieved object recognition accuracy of 90%, reduced costs by up to 90%, increased uptime and productivity, and driven consumer engagement by influencing buyer behavior with their AI-based solutions.

  • How can businesses learn more about adopting Nidor Infotech's cognitive technologies?

    -Businesses can reach out to Nidor Infotech at [email protected] to learn more about adopting their cutting-edge cognitive technologies.

  • What is the main difference between AI and cognitive computing in terms of their application?

    -AI is mainly used for tasks that make work easier through automation and digitization, while cognitive computing is used for making smarter, complex decisions that mimic human reasoning.

  • How does cognitive computing enhance decision-making abilities?

    -Cognitive computing enhances decision-making abilities by leveraging cognitive technologies to comprehend and mimic human behavior and reasoning, thus providing more nuanced and context-aware insights for decision-making.

Outlines

00:00

🤖 Understanding AI and Cognitive Computing

This paragraph introduces the concepts of artificial intelligence (AI) and cognitive computing, highlighting their roles in reducing human intervention and enhancing business processes. It differentiates AI, which automates mundane tasks, from cognitive computing, which combines computer science and cognitive science to augment human intelligence. The paragraph explains that AI uses technologies like deep learning and machine learning to mimic human senses and decision-making, while cognitive computing goes further to understand and replicate human behavior and reasoning. It also touches on the various industries where these technologies are applied and how they can assist in both simple and complex tasks.

Mindmap

Keywords

💡Artificial Intelligence (AI)

Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. In the context of the video, AI is used to make mundane decisions on behalf of humans, leveraging technologies such as machine learning and robotics to automate tasks and enhance business processes. For example, AI can be employed to digitize reams of paper, making work easier by automating repetitive tasks.

💡Cognitive Computing

Cognitive computing is an advanced form of computing that combines computer science and cognitive science to augment human intelligence. Unlike AI, which focuses on automating tasks, cognitive computing aims to understand and mimic human behavior and reasoning to enhance decision-making abilities. In the video, it is highlighted that cognitive computing assists in making smarter decisions by comprehending complex human-like scenarios.

💡Human Intervention

Human intervention refers to the involvement of humans in the decision-making process or in carrying out tasks. The video discusses technologies like AI and cognitive computing as means to mitigate the need for human intervention, thereby improving efficiency and accuracy in various fields.

💡Business Processes

Business processes are the set of activities and tasks that organizations undertake to achieve their goals. The video emphasizes how AI and cognitive computing can enhance these processes by automating mundane tasks and providing insights for better decision-making.

💡Deep Learning

Deep learning is a subset of machine learning that uses artificial neural networks to enable computer systems to learn from data and improve their performance over time. In the video, deep learning is one of the technologies that AI employs to make decisions and process information.

💡Machine Learning

Machine learning is a type of AI that allows computers to learn from and make predictions or decisions based on data. It is a core component of AI, enabling systems to adapt and improve without being explicitly programmed for every single decision.

💡Robotics

Robotics involves the design, construction, operation, and use of robots, which are machines capable of carrying out a variety of tasks. In the context of the video, robotics is one of the technologies that AI leverages to perform tasks on behalf of humans.

💡Decision-Making

Decision-making is the process of selecting from available options after considering various factors and possible outcomes. The video highlights the role of AI and cognitive computing in enhancing decision-making by automating tasks and providing insights that mimic human reasoning.

💡Natural Language Processing (NLP)

Natural Language Processing is a field of computer science that focuses on the interaction between computers and human language. It involves the development of algorithms and systems that can understand, interpret, and generate human language in a way that is both meaningful and useful.

💡Sentiment Analysis

Sentiment analysis is the process of determining the emotional tone behind a series of words, used to gain an understanding of the attitudes, opinions, and emotions expressed within an online mention. Cognitive computing employs sentiment analysis to comprehend human behavior and enhance decision-making.

💡Fraud Detection

Fraud detection involves the identification of fraudulent activities or behaviors, often using statistical and machine learning methods. In the video, it is mentioned as one of the areas where cognitive computing excels, by leveraging its ability to understand and mimic human reasoning to identify potential fraudulent patterns.

💡Risk Assessment

Risk assessment is the process of evaluating the potential risks that exist in a given situation or activity, and determining the level of risk or the impact of an event. The video positions cognitive computing as a tool that can aid in risk assessment by providing insights and predictions based on human-like reasoning and behavior comprehension.

Highlights

Artificial intelligence and cognitive computing are technologies designed to reduce human intervention and enhance business processes.

AI and cognitive computing, though often used interchangeably, have distinct features.

AI enables machines to make decisions on mundane tasks on behalf of humans.

Cognitive technology combines computer science and cognitive science to augment human intelligence.

Artificial intelligence uses human senses, learning, and processing through tools like deep learning and machine learning.

Cognitive computing comprehends and mimics human behavior and reasoning to enhance decision-making abilities.

AI and cognitive computing have numerous use cases across various industries.

AI is better suited for digitization and reducing paperwork.

Cognitive computing assists in making smarter decisions and finding hidden meanings in data.

AI is used for natural language processing, speech recognition, document or image processing, and video analytics.

Cognitive computing excels in sentiment analysis, facial recognition, fraud detection, and risk assessment.

Nidor Infotech provides customized AI and cognitive computing solutions.

The company offers services like big data architecture, computer vision, and predictive modeling.

Nidor Infotech has helped companies in sectors such as healthcare, BFSI, retail, and manufacturing.

The company has achieved object recognition accuracy of 90% and reduced costs by 90% with AI solutions.

Nidor Infotech has increased uptime, productivity, and consumer engagement through AI technologies.

For more information on adopting cognitive technologies, contact Nidor Infotech at [email protected].