Know about the scope, importance, features, types, and best examples of AI Software!
Table of Contents
- About AI Software
- Types of AI Software
- What Artificial Intelligence can do?
- Where is AI being used currently?
- What AI cannot do?
- Common Examples: AI in Daily Life
- How AI helps businesses grow?
- Content DNA Platforms
- Google Cloud Machine Learning Engine
- Azure Machine Learning Studio
- TensorFlow
- PyTorch
- H2O AI
- Caffe
- Cortana
- IBM Watson
- Salesforce Einstein
- Infosys Nia
- Amazon Alexa
- Google Assistant
- Taking AI To The Next Level
The first industrial revolution was marked by the evolution of steam and water power, the second one was followed by electricity, the third one was marked by computing giving way to the fourth industrial revolution which will feature and enhance Artificial Intelligence and Big Data.
We are now living in times where technology allows us to communicate and tell stories which otherwise would have never been possible to document. The inclusion of artificial intelligence in daily lives has helped humans to have a digital assistant who thinks in the same way and helps them with problem-solving, learning, planning, decision making via speech recognition sensors.
About AI Software
AI Software is computer programs that possess and mimic near-human behaviour with the help of learning various data patterns and similar insights. It comes tagged with features like machine learning, speech and voice recognition, virtual assistant, deep learning capabilities and likewise. Suggestive AI software includes – IBM Watson, Engati, Deep Vision, Cloud Machine Learning Engine, Salesforce Einstein, Azure Machine Learning Studio, Tensor Flow, Infosys Nia etc.
Types of AI Software
AI software can be bifurcated into four different categories:
- Chatbots or Virtual Assistants – to help people make better purchase decisions
- Artificial Intelligence Platforms – These are the platforms having built-in algorithms with drag and drop facility to make it easy to use.
- Machine Learning Software – it’s the technique to make the computer to learn through data
- Deep Learning Software – like speech recognition, image recognition
What Artificial Intelligence can do?
AI can help humans in building smart system software that is a combination of intelligence and mechanics to automate daily essential tasks like lifting the garage door, switching on/off lights, regulating the temperature of air conditioner, recommending customers about their next purchase while they are browsing on their shopping app, documenting prescriptions, playing music and much more.
Where is AI being used currently?
- Virtual Assistant or Chatbots
- Agriculture and Farming
- Autonomous Flying
- Retail, Shopping and Fashion
- Security and Surveillance
- Sports Analytics and Activities
- Manufacturing and Production
- Live Stock and Inventory Management
- Self-driving cars or Autonomous Vehicles
- Healthcare and Medical Imaging Analysis
- Warehousing and Logistic Supply Chain
What AI cannot do?
AI can recognize the voice, objects in images (captcha), translate languages, navigate maps, speak, make use of visual data analysis, predict crop yields, telling weather, evaluate user identity, diagnose diseases, prepare documents, make lending decisions, managing finances (banking and finance app assistants) but yet it cannot do everything.
Common Examples: AI in Daily Life
- Almost all social media applications feature virtual assistants or chatbot support – Facebook, Pinterest, Instagram and Snapchat
- Digital Assistants
- Self-Driving and Parking Vehicles are controlled by AI
- Email communications are empowered with AI-based assistants
- AI-enhanced Web searching and makes it easier
- Digital Stores have with AI-enabled virtual assistants
- Almost all banking applications come with text-based and voice-based virtual assistants
- They give better offline experiences
- Google’s AI-Powered Predictions
- Ridesharing Apps Like Uber and Lyft
- Commercial Flights make use of an AI Autopilot
- AI includes many features in an Email – Spam Filters, Smart Email Categorization
- Grading and Assessment checking applications use AI and ML – Plagiarism Checkers, Robo-readers
- Banking/Personal Finance – Mobile Check Deposits, Fraud Prevention, Credit Decisions
- Online Shopping – Search, Recommendations, (More) Fraud Protection
- Mobile Use – Voice-to-Text, Smart Personal Assistants
How AI helps businesses grow?
Artificial Intelligence is being used in almost every business to some extent these days like Retail, Finance & Banking, Education, Healthcare, Energy & Utilities, Technology, etc. Let’s discuss the major functionality of some prominent AI-based software to classify the ongoing discussion:
Content DNA Platforms
Underlying Functionality
It is based on Machine Learning
OS/Platform
It is suitable for on-premises and cloud-based deployable models.
What can it do?
Unsupervised machine learning and training on data.
How much does it cost?
There is one time fixed charges.
Google Cloud Machine Learning Engine
Underlying Functionality
It is one of the best AI software based on Machine Learning
OS/Platform
GCP Console
What can it do?
It trains a model on the data, deploys it, and is manageable.
How much does it cost?
Training Unit Cost/Hour = $0.49 USD; $0.54 Euro; $0.54 for the Asia Pacific
Azure Machine Learning Studio
Underlying Functionality
It is based on Machine Learning
OS/Platform
Browser-based
What can it do?
The model gets deployed as a web service.
How much does it cost?
It’s free and open-source.
TensorFlow
Underlying Functionality
It is based on Machine Learning
OS/Platform
Desktops, Clusters, Mobile, Edge devices, CPUs, GPUs, & TPUs
What can it do?
Everyone from beginners to experienced people may use it.
How much does it cost?
It’s free and open-source.
PyTorch
Underlying Functionality
PyTorch is an open source machine learning library that utilizes Torch Library for developing applications for computer vision and natiral language processing.
OS/Platform
Linux, macOS, Windows; written in Python C++ CUDA
What can it do?
- Tensory computing with strong acceleration via graphics processing units (GPU)
- Deep neural networks built on a type – based automatic differentiation system.
How much does it cost?
It is free and open-source software released under the Modified BSD license.
H2O AI
Underlying Functionality
It is based on Machine Learning
OS/Platform
Distributed in-memory, Programming with R and Python
What can it do?
It includes AutoML functionality
How much does it cost?
It’s free and open-source.
Caffe
Underlying Functionality
Caffe is a deep learning framework that is written in C++ and interface is coded in Python. It facilitates expressions, speed, modularity, openness, and full community support to enable seamless creation of Deep Learning Models.
OS/Platform
Linux/Ubuntu, Red Hat, OS X
What can it do?
Open source deep learning framework that provides GPU and CPU support. It is perfect for academic research and industrial applications.
- Expressive architecture
- Extensible code
- Speed (over 60M images per day)
- Pre-processing the data
- Labeling the data
- Converting images into LMDB dataset
- Data augmentation
- Customizing Python layers between input and output
- Setting up the architecture of your deep learning model
- Monitoring your deep learning model
- Deploying your Deep learning network
- Executing forward and backward pass for loss layers
- Training your deep learning network model
- Running the predictions
- Testing your deep learning network
- Visualization
- Knowing the performance parameters of the model
- Community
- Document Classification
- Visualization
How much does it cost?
Pricing model is per feature. There is no free trial and no free version.
Cortana
Underlying Functionality
It is open-source AI software that comes with Windows (In India)
OS/Platform
It is available for Windows, iOS, Android, and Xbox OS globally; it can take voice inputs and supports English, Portuguese, French, German, Italian, Spanish, Chinese, and Japanese
What can it do?
It can set reminders, switch lights, controls AC, lock doors, place an order online etc.
How much does it cost?
It’s free and open-source.
IBM Watson
Underlying Functionality
It is a free AI software for answering questions, developed by IBM for answering questions posed in natural language. It can integrate artificial intelligence into an important business process.
OS/Platform
It is available for SUSE Linux Enterprise Server 11 OS Apache Hadoop framework.
What can it do?
It helps declutter and arrange the unstructured data to extract meaningful information out of it.
How much does it cost?
It’s free and open-source.
Salesforce Einstein
Underlying Functionality
It is the first comprehensive AI for CRM.
OS/Platform
It is cloud-based.
What can it do?
It is a set of AI technologies to assist Salesforce Customers.
How much does it cost?
Not disclosed.
Infosys Nia
Underlying Functionality
It is a virtual assistant based on ML.
OS/Platform
It is available for Windows, web, Mac.
What can it do?
It has three components: Data, Knowledge and automation.
How much does it cost?
Not disclosed.
Amazon Alexa
Underlying Functionality
It is a virtual assistant that comes embedded in Amazon Shopping App, Amazon Music, and Amazon Prime.
OS/Platform
It is available for Fire OS, iOS and Android and supports English, French, German, Japanese, Italian, and Spanish languages.
What can it do?
It can be connected to multiple devices like cameras, music systems, and lights.
How much does it cost?
It is free and open-source.
Google Assistant
Underlying Functionality
It is open-source artificial intelligence software that comes with Google search.
OS/Platform
It accepts voice input and is available in multiple languages like English, Hindi, Indonesian, French, Italian, Japanese, Portuguese, Korean, Spanish, German, Dutch, Russian, and Swedish. Also, it works well for Android, iOS, and KaiOS; it is not functional in Windows OS yet.
What can it do?
It supports 2-way conversation.
How much does it cost?
It is free and open-source.
Refer to this table for a further classification:
| AI Software | Applicable for Windows, Android, iPhone/iPad, Linux macOS | Does it Support a Digital Assistant? | ML | Is it Adaptive? | Data Ingestion | Does it Suppose a Chatbot? | Predictive Analytics | Speech Recognition |
| Tensor Flow | Applicable for Windows, Android, iPhone/iPad, Linux macOS | Yes | Yes | Yes | Yes | No | Yes | Yes |
| IBM Watson | Windows, Mac, Linux, web-based | Yes | Yes | Yes | Yes | No | Yes | Yes |
| OpenNN | Windows, Android, Web-based, iPhone/iPad | Yes | No | Yes | No | Yes | Yes | Yes |
| Apache Mahout | Windows, iPhone/iPad, Web-based | Yes | No | Yes | No | Yes | No | Yes |
| Scikit Learn | Windows, Web-based | Yes | Yes | Yes | Yes | No | No | No |
| Torch | Windows, Android, iPhone/iPad, web-based | Yes | Yes | Yes | No | Yes | Yes | Yes |
| Accord.Net | Windows, Android, iPhone/iPad, web-based | Yes | No | Yes | Yes | No | No | Yes |
Taking AI To The Next Level
Imagine if someone gets diagnosed with Puelonephritis (this sounds crazy), but in that case, you might want to tune into some explanation for further clarification. In such cases, it would be delighting to have an automatic transcript of the conversation, so you can go back and read/listen to it later. For this and further, AI App Development Companies are focussing on combining consumer apps with artificial intelligence to securely transcribe any medical conversation that the patient chooses to record. This is just one of the applicability of AI. However, AI and ML are being utilized in various industries tapping in an enormous scope. Reach out to us for more details.