Artificial Intelligence vs Cognitive Computing: Key Differences | Nitor Infotech
Send me Nitor Infotech's Monthly Blog Newsletter!
×
nitor logo
  • Company
    • About
    • Leadership
    • Partnership
  • Resource Hub
  • Blog
  • Contact
nitor logo
Add more content here...
Artificial intelligence Big Data Blockchain and IoT
Business Intelligence Careers Cloud and DevOps
Digital Transformation Healthcare IT Manufacturing
Mobility Product Modernization Software Engineering
Thought Leadership
Aastha Sinha Abhijeet Shah Abhishek Suranglikar
Abhishek Tanwade Abhishek Tiwari Ajinkya Pathak
Amit Pawade Amol Jadhav Ankita Kulkarni
Antara Datta Anup Manekar Ashish Baldota
Chandra Gosetty Chandrakiran Parkar Deep Shikha Bhat
Dr. Girish Shinde Gaurav Mishra Gaurav Rathod
Gautam Patil Harish Singh Chauhan Harshali Chandgadkar
Kapil Joshi Madhavi Pawar Marappa Reddy
Milan Pansuriya Minal Doiphode Mohit Agarwal
Mohit Borse Nalini Vijayraghavan Neha Garg
Nikhil Kulkarni Omkar Ingawale Omkar Kulkarni
Pooja Dhule Pranit Gangurde Prashant Kamble
Prashant Kankokar Priya Patole Rahul Ganorkar
Ramireddy Manohar Ravi Agrawal Robin Pandita
Rohan Chavan Rohini Wwagh Sachin Saini
Sadhana Sharma Sambid Pradhan Sandeep Mali
Sanjeev Fadnavis Saurabh Pimpalkar Sayanti Shrivastava
Shardul Gurjar Shravani Dhavale Shreyash Bhoyar
Shubham Kamble Shubham Muneshwar Shubham Navale
Shweta Chinchore Sidhant Naveria Souvik Adhikary
Sreenivasulu Reddy Sujay Hamane Tejbahadur Singh
Tushar Sangore Vasishtha Ingale Veena Metri
Vidisha Chirmulay Yogesh Kulkarni
Artificial intelligence | 28 Sep 2022 |   5 min

Artificial Intelligence vs Cognitive Computing: Key Differences

featured image

The human brain is nothing short of a marvel. We are reminded of this fact each time we read about a technology helping it out of boredom or drawing inspiration from it. How often have you heard complaints about the fact that creativity is being sucked out of human minds when they must do monotonous tasks? Probably quite often. Well, Artificial intelligence (AI) and cognitive computing are two stellar technologies crafted in order to reduce human intervention and improve business processes across industries. You needn’t be confused about the interchangeable usage, because certain features set AI and cognitive computing apart from each other. That’s what we will be diving into in today’s blog!

Differences between artificial intelligence and cognitive computing

Here are the key differences at a glance:

Differences between artificial intelligence and cognitive computing | Nitor Infotech

Head over to this blog to discover some popular use cases of AI in the real world. As for cognitive computing, allow me to outline some key use cases of this technology across industries:

Use cases of cognitive computing

Here are certain instances where cognitive computing plays a key role:

  • In the realm of medicine, cognitive computing is contributing towards more accurate diagnoses and more prudent treatment decisions. These days doctors have easier access to therapies and diagnoses since cognitive computing has the capacity to access datasets, location notwithstanding.
  • Cognitive computing makes a mark in the retail realm to give customers a personalized e-shopping experience that is supremely convenient.
  • Companies offering financial services also leverage the analytic capabilities of cognitive computing. Chances are that you have been wondering how to find a good tool in order to gauge investment risk. Cognitive computing helps financial organizations in assessing investment risk.
  • The technology of cognitive computing comes in very useful for manufacturers as well. They leverage it for the upkeep of their equipment and machinery.

You might be wondering, are there any occasions wherein one of these technologies turns out to be better than the other? The answer is yes. AI can help you scout for an array of meanings that are buried deep in data, but cognitive computing will support you when it comes to wise decisions. So, if you are required to make complicated decisions, then cognitive computing is what you need to opt for.

As you can see, the difference between these two technologies is not very obvious, but it’s very much there. Team Nitor Infotech offers AI and cognitive computing-based solutions tailored to specific business needs. Reach out to us if you would like to learn about harnessing these leading-edge cognitive technologies for your business. Also feel free to download our datasheet that explores the value of AI in today’s world as well as our team’s areas of focus.

Watch our video for a visual understanding of this difference between AI and cognitive computing.

Related Topics

Artificial intelligence

Big Data

Blockchain and IoT

Business Intelligence

Careers

Cloud and DevOps

Digital Transformation

Healthcare IT

Manufacturing

Mobility

Product Modernization

Software Engineering

Thought Leadership

<< Previous Blog fav Next Blog >>
author image

Vidisha Chirmulay

MarCom Executive

Vidisha, a MarCom Executive at Nitor Infotech, is passionate about creative expression. Along with blogging, that includes reading blogs, poetry, penning her own poems, and occasionally exploring worlds of fiction. A music enthusiast and a believer in gratitude, she enjoys learning new things.

   

You may also like

featured image

10 Heuristic Principles in UX Engineering

Say, you’ve built a modern, cutting-edge application. It has a complex, multi-layered user interface (UI), that is the basis for some amazing features. Since you’re the one who has built the applic...
Read Blog


featured image

ETL Testing: A Detailed Guide

Just in case the term is new to you, ETL is defined from data warehousing and stands for Extract-Transform-Load. It covers the process of how the data is loaded from the multiple source system to t...
Read Blog


featured image

Getting Started with ArcGIS Online

GeoServer is an open-source server that facilitates the sharing, processing and editing of geospatial data. When we are dealing with a large set of geospatial d...
Read Blog


subscribe

Subscribe to our fortnightly newsletter!

We'll keep you in the loop with everything that's trending in the tech world.

Services

    Modern Software Engineering


  • Idea to MVP
  • Quality Engineering
  • Product Engineering
  • Product Modernization
  • Reliability Engineering
  • Product Maintenance

    Enterprise Solution Engineering


  • Idea to MVP
  • Strategy & Consulting
  • Enterprise Architecture & Digital Platforms
  • Solution Engineering
  • Enterprise Cognition Engineering

    Digital Experience Engineering


  • UX Engineering
  • Content Engineering
  • Peer Product Management
  • RaaS
  • Mobility Engineering

    Technology Engineering


  • Cloud Engineering
  • Cognitive Engineering
  • Blockchain Engineering
  • Data Engineering
  • IoT Engineering

    Industries


  • Healthcare
  • Retail
  • Manufacturing
  • BFSI
  • Supply Chain

    Company


  • About
  • Leadership
  • Partnership
  • Contact Us

    Resource Hub


  • White papers
  • Brochures
  • Case studies
  • Datasheet

    Explore More


  • Blog
  • Career
  • Events
  • Press Releases
  • QnA

About


With more than 16 years of experience in handling multiple technology projects across industries, Nitor Infotech has gained strong expertise in areas of technology consulting, solutioning, and product engineering. With a team of 700+ technology experts, we help leading ISVs and Enterprises with modern-day products and top-notch services through our tech-driven approach. Digitization being our key strategy, we digitally assess their operational capabilities in order to achieve our customer's end- goals.

Get in Touch


  • +1 (224) 265-7110
  • marketing@nitorinfotech.com

We are Social 24/7


© 2023 Nitor Infotech All rights reserved

  • Terms of Usage
  • Privacy Policy
  • Cookie Policy
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it. Accept Cookie policy