Artificial intelligence (AI) has already taken a significant role in today’s business, and the use of artificial intelligence software is not a new thing. Also, its use will continue for the foreseeable future. Artificial intelligence, a combination of machine learning and deep learning, will help automate tasks for the users. Automating these processes not only saves the time and energy of users but also make their job simpler. Besides, it allows employees to work more efficiently and productively. Does that mean AI will replace the job of the human? Well. This is a wrong assumption. Furthermore, AI will make the job easier.
What is Artificial Intelligence Software?
Artificial intelligence (AI) is becoming an essential part of all business software, whether users are aware of it or not. In the artificial intelligence software, the AI and machine learning capabilities are embedded that provide users with automation or predictive capabilities. Broadly speaking, we can say AI embedded software is of two types. One is AI-enabled tools, and the other type which helps to develop intelligent applications. Artificial intelligence software is of the second type. AI software facilitates developers with tools to build intelligent applications. This tool can add machine learning or speech recognition to a solution or develop an entirely new application from scratch. These developer tools are often algorithms, libraries, or frameworks of code or developer kits that can help users create machine and deep learning functionality for the software.
There are several myths related to artificial intelligence software that would negatively impact human life, but that is mistaken. Instead, AI software will help improve the employee experience and offer streamlined, automated ways for workers to complete manual, mundane tasks. It will encourage more smart work and will help to make more intelligent decisions. Artificial intelligence software is intended to provide the best solution in all areas of business.
Why Use Artificial Intelligence Software?
We can build intelligence applications or include a machine or deep learning to a pre-existing software application using an artificial intelligence software. AI software allows users to implement the below capabilities:
- general machine learning,
- deep learning capabilities,
- natural language processing,
- computer vision,
- speech recognition.
There are multiple reasons why we use artificial intelligence software. Some of them are as below:
Automation of repetitive tasks – There are many monotonous tasks that employees need to execute on a day-to-day basis. Using machine learning, we can automate these tasks that also help improve employee performance as they get free time. It is a supplemental way to help improve their performance at work.
Predictive capabilities – We can consider predictive functionality as one kind of automation as it performs tasks based on the solutions assumed is correct. Here there is no human intervention is needed. Let’s consider an expense management solution that can add an expense to a report on its own. AI and machine learning are used here, and its predictive capability is utilized through the AI software.
Intelligent decision-making — While you might think that predictive solutions make intelligent decisions, this aspect of AI helps human beings make intelligent decisions instead of the software doing it for them. Machine learning can help take the guesswork out of making critical business decisions by providing analytical proof and predicted outcomes. This functionality helps take human error out of decision-making but can help arm users with the information necessary to defend the decisions they make.
Personalization — We can create a high level of personalization by using machine learning algorithms that improve their software products and offers unique experiences for all users. Creating applications that recognize users and their interactions allows for powerful recommendation systems, similar to those used by Amazon to help personalize consumer shopping or the film recommendation capabilities of Netflix.
Best AI software and tools
Since AI is used in a variety of applications, here is a list of some of the best artificial intelligence software that covers a wide variety of industries and uses. Some tools perform one specialized task, while others offer more flexibility in how it’s used. The AI tools list is a growing one, and this list is only a small representation, and it’s in no specific order.
MATLAB
MATLAB is from MathWorks, which is a downloadable programming tool in a desktop environment. You can create code, algorithms, and applications for running your data iteratively and automatically. It has multiple features like a Live Editor that creates 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
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 the monitoring of telemetry data.
TensorFlow
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 on other devices. Use cases include:
- Training a neural network to identify specific anatomy during a brain MRI.
- Ranking Tweets in a timeline view.
- Predicting the dimension and weight of a shipment.
ArcGIS
Esri ArcGIS is a powerful mapping and analytics software. AI software and location-based analytics allow 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.
HOLMES
Wipro HOLMES is an AI and automation platform for business and IT users. The software supports the 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
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
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 boats. Microsoft also offers Cortana, an AI productivity assistant in Microsoft 365 apps.
Alexa
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, voice bots, and IVR bots. Google also has AI products for documentation and specific industry solutions.