Best Artificial Intelligence (AI) Software for 2020
The world came to a halt when the Covid-19 pandemic struck. It has impacted how people live and do business. Before the pandemic began, artificial intelligence (AI) technology was already causing disruption and inducing digital transformation in every industry sector. But instead of getting diminished because of the pandemic’s impact, the use of AI software accelerated. Aside from being used to analyze data on the virus, automate detection, and make predictions of future outbreaks, the technology is helping businesses to reassess, regroup, and rebound.
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 and automation help manage repetitive tasks and make customer relationship, products development, or project management easier. In fact, businesses are able to make more informed decisions because of AI software assistance, detecting financial fraud, predicting purchasing behavior, and enabling successful project execution.
What is artificial intelligence (AI) software?
Developments in AI technology was brought about by several factors. When human activity—academic, commercial, and social—began to happen in digital platforms, huge volumes of data resulted. To capitalize on these big data, industries responded with more powerful processors, bigger and more affordable storage, and smarter networks. Next, the artificial intelligence platform was built (or re-built) to improve the collection, processing, and analysis of data, so people can act upon data-driven information and insight.
AI software is software that applies artificial intelligence to carry out specific tasks. Machine learning algorithms differentiate the software from other applications, enabling them to learn or improve their performance without having to be instructed step by step. The software uses its interface to recognize conversational language, speech, images, and other patterns. 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.
Best AI software and tools
Since AI is now applied in many systems to perform a variety of applications, the best artificial intelligence software list we compiled also covers different areas. Some tools are specialized to do one specific task while others offer more flexibility in how they can be utilized. This list in no specific order is only a small representation of the growing number of tools available today. We looked at reviews from multiple sites, features, customer feedback, and market ranking as our basis for our list 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 to run 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, logs, and traces 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 such as intuitive APIs to build and train ML models. You can deploy your ML-powered apps whether in the cloud, servers on-premise, browsers, and other devices. Some of the use cases of TensorFlow include training a neural network to identify specific anatomy during a brain MRI, how to rank Tweets in a timeline view, or to predict the dimension and weight of a shipment.
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 for spatial analysis, field operations, mapping, 3D modeling, remote sensing, and data collection and management.
Wipro HOLMES is an artificial intelligence 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. These can be used together with current transaction systems. Users that can 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 eliminate repetitive tasks so users can instead focus on more creative work. The software can be applied to IT operations, customer service, risk and compliance, and financial operations. The AI platform can help in R&D, 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, make predictions based on data, and more. It can be used by data scientists, ML engineers, and app developers. Your AI-powered apps run on secure network and can be scaled across your 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. Alexa can also be used in enterprise solutions for workplace applications such as in 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 lets you 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.