Top 21 Artificial Intelligence Software, Tools, and Platforms

Artificial intelligence (AI) has entered the mainstream as it achieves worldwide adoption and continued buzz. Automation through artificial intelligence holds the capability to improve various company operations significantly. With advances in fields like machine learning-based automation, computer vision, and deep learning, companies are finding new ways to apply AI to their operations.

Today, artificial intelligence software can be used in enterprises for a variety of applications, including customer resource management, product personalization, better customer service, business intelligence, and analytics. Moreover, they also help speed up processes that were previously done manually through smart automation, image processing, and text parsing.

As a technology, artificial intelligence has advanced enough to facilitate improvements that offer visible enhancements to company processes. This means that automated processes can achieve as much accuracy as human workers. AI also can accomplish this at a much higher speed and cheaper cost than employing manual labor.

With the rise of AI applications for corporate use, many big players, such as Google, Microsoft, Amazon Web Services, Salesforce, and SAS have begun offering artificial intelligence solutions that solve business problems through AI. With companies of this scale actively participating in the market, the AI space is quickly developing and advancing.

What Is AI?

To understand why artificial intelligence offers a sizeable benefit for companies, we must first thoroughly understand what AI is. At its base, AI is a computer program that imitates certain paradigms of human intelligence. What this means is that AI can conduct tasks that were previously only reserved for humans, such as recognizing images or finding patterns in data.

Law, for example, is one of the largest fields where AI is gaining quick adoption. Typically, a lawyer is not only required to have a working knowledge of landmark cases regarding certain laws but also to interpret laws by utilizing these cases. This is an integral part of fighting a case, and previously took a lot of time and resources on the lawyer’s part.

Today, with the progress of natural language processing, artificial intelligence software can execute several processes that take place in a typical legal setting. These include legal reasoning, evidential reasoning, argumentation and decision-making, data mining, legal task automation, risk assessment, and e-discovery.

This is just a small fraction of what specialized AI technology can achieve. Mainly, machine learning (ML), a subset of AI, is seeing widespread adoption among companies. Machine learning is the process by which programs can learn from past processes. This allows machine learning algorithms to improve upon past versions of itself. Moreover, it can also change dynamically with new data, as opposed to a static program that cannot change after it is deployed.

How Is AI Changing the Enterprise Landscape?

The rise of accessible AI solutions has transformed the enterprise landscape. This is mainly because artificial intelligence and machine learning solutions have begun to take the place of business intelligence operations. Business intelligence is the practice of utilizing software and technologies to collect, analyze, and present information systems. It holds the potential to improve the bottom line in the operation sector.

With every company now making data collection a priority through various digital mediums, there is a need to analyze much higher volumes of data. Commonly referred to as big data, these collected statistics can provide a more in-depth look into consumer expectations from a product or service, along with potential improvements.

However, manual analysis has quickly become more expensive and less scalable than AI-based solutions. Enterprise-grade algorithms can ingest data on the scale of petabytes (1 petabyte =1 million gigabytes) and provide actionable intelligence or insights.

For example, let’s consider a company that offers products for sale to the customer through an e-commerce portal. Collecting data from the website will allow the company to observe users’ actions, such as clicks, hovers, or scrolls. This data is then fed into an AI algorithm, which analyzes the data and provides insights.

In such a case, if the data shows that most users are scrolling down to click on an object, the algorithm will suggest moving the object to top. This improves the user experience and makes for a more engaging product overall.

When looking at this example, it becomes clear why AI can change the enterprise landscape. Keeping this in mind, let’s look at some artificial intelligence software, artificial intelligence tools, and artificial intelligence platforms commonly used by enterprises.

Top Artificial Intelligence Tools and Software

AI tools are commonly used by organizations for a few primary reasons. One of the biggest is intelligent automation, which reduces stress on company resources. Others include business intelligence, the practice of deriving insights, natural language processing, customer engagement, and visualization.

1. Salesforce Einstein

Salesforce Einstein is an AI platform that sorts customer data to derive and deliver insights. It functions as an addition to Salesforce, an automated customer resource management platform. While Salesforce collects customer data across various verticals, Einstein investigates the data and provides knowledge that allows companies to optimize operations.

Einstein combines with the resource management of Salesforce to process data in an efficient manner. The platform gives insights into customer behavior and potential moves by processing the data collected by Salesforce.

2. Infosys Nia

Infosys Nia is a suite of solutions for common enterprise problems, such as analyzing contracts and customer engagement. The basic function of Nia is to automate complex operating procedures and optimize the data workflow of companies. This AI platform effectively performs both data collection and analysis, freeing up company resources to focus on mission-critical tasks.

3. Symantec

Targeted Attack Analytics (TAA)Symantec TAA is a cybersecurity-focused AI solution. It utilizes machine learning to identify malicious cyberattacks, also known as targeted attacks. Targeted attacks are long-term cybersecurity attacks that are explicitly created for a certain company, making them unique and unidentifiable by normal means. By using machine learning, TAA protects companies from these dangerous attacks by reducing the time required to discover them.

4. Periscope Data

Periscope is a data visualization and business intelligence platform that makes it easier for companies to view their data. Periscope utilizes artificial intelligence to collect and analyze data from multiple sources. The user can then choose from a group of charts and visualizations to see the collected data and derived insights. By doing so, the product offers companies an end-to-end solution for visualizing data to derive insights from it.

5. Outmatch

Outmatch is an end-to-end talent acquisition and management product that utilizes AI to manage talent. The product uses AI to speed up the hiring processes and retain employees in a way that is conducive toward better performance. It takes companies from the talent assessment phase to the leadership development phase. It features automated reference checking, analytics for work culture, and assessment of prospective candidates.

6. Wipro Holmes

Wipro Holmes manages various aspects of a company’s infrastructure and customer management needs. It provides services, such as automated service request fulfillment, infrastructure automation-as-a-service, enterprise diagnosis solutions, and contract intelligence. Holmes allows companies to bring AI to many of their mainstay operations, thus improving the bottom line while optimizing existing procedures.

7. Rainbird

Rainbird utilizes AI to help companies make informed business decisions. The platform analyzes key business decisions and learns from them by taking variables into consideration. This allows the software to replicate various decision-making practices in a cost-effective manner, even when the circumstances are uncertain. Moreover, the tool places a great emphasis on being explainable, thus providing a rationale for every decision it takes.

8. Sisense

Sisense places its focus on providing business intelligence solutions for enterprises. It is a cloud-based, self-service application programming interface (API) that can be accessed from anywhere and provides valuable insights. Sisense emphasizes providing a solution for business intelligence problems as quickly as possible, featuring many options for visualization and analytics.

9. Tableau

Tableau is primarily a data visualization software that utilizes AI to present data in a consumable and actionable way. By using a technology called VizQL, Tableau analyzes data collected by the company and displays it in a way that is easy to understand and present. This helps companies to gauge the effect that data analytics has on their bottom line, thus enabling them to adopt better solutions to optimize processes.

10. Receptiviti

Receptiviti is a unique AI solution that utilizes psychology to derive insights through a company’s employees. With integrations into services, such as Slack, Gmail, and Office365, Receptiviti gleans insights from a company’s workforce. It offers insights into psychology, emotion, social hierarchy, and relationship quality using a technology that combines psychology, linguistics, and data science.

11. H2O

H2O focuses on providing open-source ML and AI solutions for corporate use. With a vision to democratize access to AI, the company prioritizes working together on machine learning solutions. It offers services, such as Sparkling Water, an open-source AI engine that integrates into Spark. It also offers the H2O platform, which offers machine learning services that can be easily integrated into a company’s processes.

12. Symphony

Symphony provides solutions for the retail sector, promising 4% revenue and profit growth by deploying AI solutions. These solutions span across the retail value chain, utilizing predictive analysis to gauge supply and demand. It then uses this data to predict inventory and stock decisions, using Conversational Interface and Decisioning Engine (CINDE), a service used to coach organizations on the best path forward.

13. Polyaxon

Polyaxon provides services that handle machine learning applications from genesis to deployment. By using Polyaxon, companies can create new AI solutions quicker, iterate them with speed, and optimize the resources they use. They provide a platform-as-a-service offering as well as on-premise solutions for companies with a focus on privacy.

14. PredictionIO

PredictionIO is a machine learning service offered by Apache. PredictionIO offers customizable ML model templates, which speed up solution deployment while ensuring that the product is a good fit for the company. The platform also provides services for data querying, model management, and predictive analytics.

Top Artificial Intelligence Platforms

Companies such as Google, Microsoft, and Amazon have recognized the potential to change the landscape of data analytics and business intelligence. Keeping this in mind, they each offer cloud services and platforms which offer various AI software-as-a-service and Infrastructure-as-a-service products. These platforms offer a wide variety of AI services, all functioning in an ecosystem that provides interoperability and stability.

1. Google AI

Google AI has emerged as the market leader in the AI platform space with its wide range of AI solutions. Google has also created and deployed a specialized processing unit known as the Tensor Processing Unit, which accelerates AI model training and provides a unique selling point for the platform.

The platform offers services for image processing, natural language processing, translation, conversation, and data structuring. It also offers AutoML, a service that reduces the barrier of entry for AI by reducing the skill required to create and deploy an AI model.

2. Microsoft Azure ML

Microsoft’s cloud AI platform is focused on building and deploying solutions that utilize predictive analytics. Azure is praised for its emphasis on developer support and integration with open-source technologies. The platform offers support for R and Python, two of the most popular languages with customizable code packages and built-in library support.

Microsoft Azure offers Azure Cognitive Services, which adds intelligence to applications, intelligent search services, conversational AI, and custom AI development.

3. Amazon Web Services (AWS)

AWS mainly offers services that cater to consumer-facing apps that aim to automate and optimize customer management. The platform focuses on services that can enrich the customer experience with an application, along with powerful visualization software to make sense of the collected data.

AWS services include Amazon Lex, a speech recognition algorithm, Amazon Polly, a service for converting text into natural-sounding speech, and Amazon Rekognition, an image analysis services that can detect faces in images and compare them. The Amazon Machine Learning platform also provides tools for visualizing data and customizable ML solutions that allow quick deployment.

4. Oracle AI

Oracle AI is a platform that seeks to deploy AI to improve collaboration between humans and machines. The platform offers ready-to-deploy solutions for a vast array of business needs, and lets companies customize their solutions for the best fit.

The platform offers a software-as-a-service that comes with AI-powered integrations. They provide solutions for data management, infrastructure, AI development, and business analytics. Building upon their legacy of offering database software to enterprises, Oracle’s Autonomous Database offering integrates AI into database software, allowing for better performance and predictions.

5. IBM Watson

IBM Watson mainly focuses on natural language processing for customer service, although it offers services that utilize NLP for other applications as well.

The platform also offers services for contract governance and analysis, search services for complex search terms, and easy chatbot deployment for customer engagement. Moreover, the platform is also focused on explaining AI; a problem that is hindering the adoption of AI among corporates.

6. SAS

SAS is an analytics platform with an emphasis on delivering business intelligence solutions to companies that handle big data. It is one of the longest-standing analytics technologies in the analytics and business intelligence markets, having been in use for over 40 years. Currently, its main offering is SAS 9.4, an analytics platform that utilizes AI to derive business insights.

It offers services for visual data mining, natural language processing, visual text analysis, computer vision, and predictive analysis. Moreover, the company also offers solutions for visualization, data management, and easy deployment.

7. NVIDIA GPU Cloud (NGC)

The NGC platform is NVIDIA’s attempt to enter the cloud AI space, offering a hub for machine learning and AI solutions utilizing their hardware. Built atop a robust infrastructure comprised of GPUs, the NGC platform acts as a single platform to find and deploy ML models optimized to run on NVIDIA GPUs.

It offers models for deep learning, visualization, infrastructure management, medical imaging, and smart city management. In addition to offering models for machine learning and deep learning, the service also offers pre-made virtual containers to quickly get started with ML models.

Closing Thoughts

AI software and tools hold the capability to optimize various processes of an organization. In addition to smart automation, AI also offers services to build infrastructure and workflows. These objectives of an enterprise can be managed by AI, allowing for human resources to be deployed more efficiently. AI holds the capability to change the way labor is perceived in enterprises, as it can conduct mission-critical services, such as image recognition, natural language processing, and text mining.

The customer service sector also benefits from having an AI chatbot work in conjunction with human assistance. By allowing customers to access a chatbot, their experience is made more seamless due to the fast response speed and understanding of the bot. In case the user input is not clear, a human can step in, with most of the information already available to them.

Business intelligence also holds the capability to vastly improve the operations of a company. By providing insights and easy-to-understand visualizations, AI-powered business intelligence can make companies realize the value of having big data. Insights can also provide valuable knowledge about the next big informed decision, setting the company up for growth.

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