Best Artificial Intelligence (AI) Software for 2021
Before the pandemic began, artificial intelligence (AI) technology was already inducing digital transformation in every industry sector. But instead of diminishing because of the pandemic’s impact, the use of AI software accelerated. People used AI to analyze data on the virus, automate detection, and make predictions of future outbreaks. The technology also aided businesses in regrouping, reassessing, and rebounding.
Table of contents
- What is artificial intelligence (AI) software?
- Best AI software and tools
- Common features of AI software
- Choosing the right AI software
What is artificial intelligence (AI) software?
AI technology developed when human activity—be it academic, commercial, or social activity—began to happen on digital platforms. Huge volumes of data resulted, and to capitalize on this big data, industries responded with more powerful processors, bigger and more affordable storage, and smarter networks. They then built artificial intelligence software platforms to improve the collection, processing, and analysis of data, meaning people were better equipped to act upon data-driven information and insight.
AI software is software that applies artificial intelligence to carry out specific tasks. What makes AI software different from other tools is its use of machine learning algorithms, enabling the software to learn or improve its performance without a user instructing it step by step. The software uses its interface to recognize conversational language, speech, images, and other patterns.
Best AI software and tools
Since AI is used in a variety of applications across the spectrum, this best-of list also covers a wide variety of industries and uses. Some tools perform one specialized task while others offer more flexibility in how it’s used. This list is only a small representation of the growing number of tools available today, and it’s in no specific order. We looked at reviews from multiple sites, features, customer feedback, and market ranking as our basis, with the aim of helping you find the right AI software for your needs.
MATLAB from MathWorks is a downloadable programming tool in a desktop environment. It allows you to create code, algorithms, and applications for running your data iteratively and automatically. Features include a Live Editor to create scripts in an executable notebook, tools to organize, clean, and analyze data sets, a drag-and-drop App Designer, a plot gallery to display graphs in many ways, and an API to use it with other programming languages such as Java and Python.
New Relic One is a telemetry data platform for software engineers. It collects all types of operational data such as metrics, events, and logs. It then traces this data into a single place and allows software engineers to observe, analyze, and troubleshoot problems across their entire software stack. A built-in applied intelligence engine automatically detects, diagnoses, and resolves issues, so you can respond to incidents before your customer does. The platform integrates with hundreds of tools and open standards to simplify monitoring of telemetry data.
TensorFlow is a free, open source software library to build machine learning (ML) models. It includes tools to build and train ML models such as intuitive APIs. You can deploy your ML-powered apps whether in the cloud, in servers on-premise, in browsers, and in other devices. Use cases include training a neural network to identify specific anatomy during a brain MRI, ranking Tweets in a timeline view, and predicting the dimension and weight of a shipment.
Read also: Best Machine Learning Software
Esri ArcGIS is a powerful mapping and analytics software. AI software and location-based analytics allows businesses to gain insights with tools that visualize, analyze, and contextualize data. Users can collaborate and share information using maps, apps, dashboards, and reports. It has various use cases, such as spatial analysis, field operations, mapping, 3D modeling, remote sensing, and data collection and management.
Wipro HOLMES is an AI and automation platform for business and IT users. The software supports digital transformation of businesses with solutions that include natural language processing, algorithmic intelligence, self learning, and reasoning. Businesses can use the software together with current transaction systems. Users that derive the most benefit are C-suite executives in charge of operations, finance, legal department, procurement, HR, and marketing. The platform also caters to IT end users, DevOps, operations, digital networks, cloud, cybersecurity, SAP, and Oracle users.
Watson is IBM’s suite of enterprise-ready AI software applications, services, and tools. It includes pre-built applications and tools to help you build, run, and manage AI in your organization. Watson helps free up users from doing repetitive tasks so they can instead focus on more creative work. They can apply the software in IT operations, customer service, risk and compliance, and financial operations. The AI platform can help enrich customer interactions, anticipate and preempt disruptions, and recommend actions.
Einstein from Salesforce is an artificial intelligence 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.
Azure AI Platform
Microsoft’s Azure AI Platform enables you to build applications that can analyze images, comprehend speech, and make predictions based on data. Data scientists, ML 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 their infrastructure. Features include machine learning, knowledge mining, customizable services, and purpose-built bots. Microsoft also offers Cortana, an AI productivity assistant in Microsoft 365 apps.
Amazon Alexa is a cloud-based virtual assistant AI voice service that users can extend and expand using tools, APIS, and reference solutions. Users can build Skills, which are the counterpart of apps for Alexa using its Skills Kit. They can build devices by integrating Alexa into devices and controlling them by voice. Enterprises can also use Alexa for workplace applications such as hospitality establishments.
Google Cloud AI
Google offers several AI and machine learning products on its cloud platform. It has a platform for training, hosting, and managing ML models. AI building blocks let users add sight, language, conversation, and structured data to applications that you build. It has conversational AI that can convert speech to text or text to speech, virtual agents, and DialogFlow for creating chatbots, voicebots, and IVR bots. Google also has AI products for documentation and specific industry solutions.
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 artificial intelligence software:
Automated data ingestion
AI systems 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 an AI platform is its 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. 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.
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
Developers and technology vendors offer the best AI tools and describe the many advantages it will bring. Companies who adopted the technology attest to the benefits they enjoy across their organization. AI helps automate repetitive tasks and makes customer relationship, product development, and project management easier. Businesses are able to make more informed decisions because of AI software assistance by detecting financial fraud, predicting purchasing behavior, and enabling successful project execution.