Best Artificial Intelligence (AI) Software for 2022
Companies are increasing their investments in artificial intelligence (AI) software to pursue or strengthen their digital transformation. More businesses are recognizing AI software as an indispensable resource to help them recover. Choosing the best AI capabilities will help companies see a greater return on their investment, which encourages AI software companies to overcome institutional challenges.
Table of Contents
- What Is AI Software?
- Best AI Software and Tools
- Common Features of AI Software
- Choosing the Right AI Software
What Is AI Software?
Artificial intelligence technology was developed when human activity — including in academic, commercial, and social sectors — began to happen in digital platforms. Huge volumes of data resulted. To capitalize on this big data, industries responded with more powerful processors, bigger storage, and smarter networks.
AI software platforms were built to improve the collection, processing, and analysis of data, so people can act upon data-driven information and insights. AI software enables computers to carry out the kinds of specific tasks that typically require human intelligence.
Machine learning (ML) algorithms differentiate the software from other applications, enabling it to learn or improve performance without people instructing it step by step. The software uses its interface to recognize conversational language, speech, images, and other patterns.
Best AI Software and Tools
AI is now applied in many systems to perform a variety of functions. Functionality can range from automating one specialized task to performing a variety of tasks dependent on user instructions. We looked at reviews from multiple sites, software features, customer feedback, and company rankings when compiling this list. Here is the best AI software, in no particular order.
Google Cloud AI
Google offers several AI and machine learning products and services on its cloud platform. Its AI platform allows users to build, deploy, and scale more effective models for accelerating data preparation, training, and experimentation. It has conversational AI products for automating speech recognition, real-time transcription, training voice models, and creating virtual agents.
Google Cloud AI can also work on documents to ensure accuracy and compliance. Tools include natural language processing, translation, vision OCR, document API, and parsers. It enables users to create text predictions, detect and translate between languages, understand printed and handwritten text within images, and automate data capture from invoices and forms.
Microsoft Azure AI Platform
Microsoft’s Azure AI Platform enables users to build applications that can analyze images, comprehend speech, and make predictions based on data. Data scientists, machine learning engineers, and app developers are the main users of the software. AI-powered apps run on a secure network where users can easily scale them across infrastructure.
Included in the services are research, practices, and flexibility that allows users to build and deploy their own AI solutions. Users can access high-quality vision, speech, language, and decision-making models through simple AI calls, custom machine learning models, or through open-source frameworks.
Wipro HOLMES is an applied AI and automation platform for business and IT users. It enables enterprises to build and deploy intelligent solutions in their adoption of automation and digital transformation. The platform includes frameworks for cognitive search, image processing, deep text extraction, and process automation.
HOLMES also comes with Automation Studio, an integrated development environment to help users build process automation solutions. It also has a metering and governance framework to ensure transparency and boost efficiency and productivity. The framework also allows users to maintain compliance to appropriate corporate and regulatory policies.
Watson is IBM’s suite of enterprise-ready AI software applications, services, and tools. It includes pre-built applications and tools to help users build, run, and manage AI in the organization. Watson helps free up users from doing repetitive tasks, so they can instead focus on more creative work.
Watson helps companies reduce the cost and hurdles of AI adoption. Natural language processing tools enable users to analyze complex unstructured data, computer code, and industry-specific jargon. Other features include automation and compatibility with existing platforms like AWS, Azure, and Google.
Einstein from Salesforce is an AI software that serves as a smart CRM assistant within Salesforce software. The AI tool helps Salesforce users discover insights, predict outcomes, recommend next steps, and automate workflows. It can identify patterns and trends, anticipate customer actions based on behaviors, point customers in the right direction, and automate data entry.
Einstein is an integrated set of AI technologies that provide users deep insights into their customers based on past interactions. Features like intelligent case classification, next best actions, and recommendations provide employees with answers and information quickly, with the option to automate the best action to take. It also has smart bots to answer common customer questions.
Amazon Alexa is a cloud-based virtual assistant AI voice service that users can extend and expand using tools, APIs, and reference solutions. The AI software is the intelligence that enables devices like Echo to provide users hands-free controls of daily tasks, such as playing a song, reading a headline, or dimming the lights in the room.
Some of the applications of Alexa are in increasing productivity by using voice control to set timers, alarms, reminders, calendars, and email. It is also applied in smart homes, shopping, entertainment, communications, news, routines, and games. Alexa is accessed through an app that can help users set up Alexa-enabled devices.
Infosys Nia is an enterprise-grade AI solution that helps businesses and IT simplify their AI adoption journey. It supports data management, digitization of documents and images, model development, and model deployment. Nia has modular and scalable capabilities to address business needs across the enterprise.
Data management tools allow the accommodation of data with different schema and storage types. It has a machine learning workbench and toolkit to simplify the creation of AI models. Other features include deep learning, model operations, computer vision, NLP, knowledge management, cognitive search, and conversational AI.
MATLAB from MathWorks is a downloadable programming tool run in a desktop environment. It allows users to create code, algorithms, and applications to run data iteratively and automatically. It is an interactive system that allows users to solve many technical computing problems in a fraction of the time.
MATLAB has five parts: the language, the working environment, the graphics system, the mathematical function library, and the API. The AI software can analyze data, develop algorithms, and create models and applications. It helps users take their ideas from research to production. It’s applicable to a broad array of industries such as aerospace, automotive, biotech, industrial automation, medical devices, railway, and software.
BigML is a machine learning platform that allows users to build sophisticated ML-based solutions that are affordable and usable. The platform provides a selection of machine learning algorithms, including classification and regression, time series forecasting, cluster analysis, anomaly detection, topic modeling, association discovery, and principal component analysis.
BigML offers free and premium accounts that users can immediately access. It also has interpretable and exportable models, collaborative workspace, shareable project folders, programmable and repeatable APIs, and automation. It has flexible deployments with single- or multi-tenant versions on the cloud or on-premises.
TensorFlow is a free open source software library to build machine learning models. It includes tools to build and train ML models. It has comprehensive and flexible tools and libraries, as well as community resources that allow developers to build and deploy ML-based applications.
TensorFlow allows users to build and train ML models using an intuitive, high-level API that makes model iteration and debugging easier. Users can train and deploy models in the browser, in the cloud, on-premises, or on devices.
Read more: Best Machine Learning Software
Common Features of AI Software
Applied across a wide area of systems, AI software can automate tedious repetitive tasks, predict regular actions, assist decision making by providing analytical proof, and recognize individual patterns to offer personalization. Here are some common features and capabilities of AI software.
Automated Data Ingestion
AI platforms deal with huge amounts of data from multiple concurrent sources. Data ingestion is the process of extracting unstructured data from these sources to prepare them for machine learning. It is a time-intensive process if done manually. AI software automates this process, freeing up resources and ensuring ML models have the most recent and applicable data.
A key feature of AI software is the ability to adapt to the environment with the help of machine learning. It observes its own results and tries to learn how to correct or improve its performance to provide better results. In this way, AI software reacts to the changing inputs and conditions. It monitors its inputs, and when certain conditions apply, It looks for the best-suited procedures, rules, or computations, and makes a decision.
In addition to adaptive-reactive capabilities, AI software considers multiple scenarios and searches for an effective way to reach its goal. It projects multiple steps into the future and makes calculations to choose the best scenario.
Concurrent and Multi-Tenant
AI software is capable of handling multiple users or applications interacting with it simultaneously. It uses advanced technology such as distributed systems and parallel approaches so it can ingest data efficiently, adapt and react quickly to a changing environment, or choose the best path from multiple possible scenarios.
Choosing the Right AI Software
Businesses who have adopted AI technology often attest to the benefits they enjoy across the organization. Artificial intelligence software helps automate repetitive tasks and makes customer relationship management, product development, and project management easier.