The 13 Best Artificial Intelligence Platforms Today

Artificial intelligence platforms are the hottest buzzword for businesses in nearly all sectors because they have unveiled new, more accessible opportunities for managing operations and performing mundane tasks. Chances are, you’ve already used AI because 97% of phone owners use AI-controlled voice assistants.

Besides, many organizations and businesses are embracing this new tech, from chatbots to analytics software, to enhance customer service, reduce operational costs and business analytics, and improve productivity.

91.5% of leading companies have already invested in AI. Artificial Intelligence is the recreation of human cognitive processes through computer systems, robots, or machines. These processes include video and picture analysis, text recognition, data summary, etc.

However, some AIs are better designed to mimic human intelligence and attributes. Hence, we’ve come up with a list of the best AI platforms for various tasks. Here are the best choices after intensive research and reviews:

• Best for Training Models: Google Cloud AI
• Best for Building and Running Applications: Microsoft AzureMicrosoft Azure
• Best for Business Analytics Tools: Ayasdi (SymphonyAI Sensa)
• Best for Analyzing Videos: Content DNA
• Best for Content Generation: JasperJasper (Initially Jarvis)
• Best for Conversational Bots: KAI
• Best for Cybersecurity: Symantec Endpoint Protection 
• Best for Business Intelligence: Salesforce 
• Best for Machine Learning: H2O.ai
• Best for Litigation Processes: Premonition
• Best for Software Development: Wit.ai
• Best Text-to-Speech Generator: Murf
• Best for Coding: Caffe

Generally, there’s been a surge in AI adoption across most sectors in the hope of gaining a competitive edge in various niches.

Best Artificial Intelligence Platform for Training Models: Google Cloud AI

Google provides several AI and ML solutions through its cloud platform. Users can create, develop, and scale more efficient models via the Google Cloud AI platform, which allows for fast data preparation, training, and testing. Google Cloud AI also features interactive AI tools that automate speech recognition, human-like transcription, building voice models, and developing virtual assistants.

Moreover, Google Cloud AI can review submitted documents to ensure accuracy and eliminate errors. It provides several pre-trained tools, including parsers and APIs for tasks like image recognition, speech-to-text conversion, vision OCR, translation, and natural language processing (NLP).

This platform allows you to recognize and translate across languages, recognize printed and handwritten text inside photos, and automate data extraction from invoices and forms. Users may even construct text predictions. 

Best for Building and Running Applications: Microsoft Azure

Azure AI allows you to develop apps or software to analyze photos, recognize voices, and predict outcomes based on analyzed data. This platform is ideal for data scientists, ML students, and app developers.

The platform offers services such as research, techniques, and the adaptability needed for anyone to create and implement their own AI solutions. You can access top-quality vision, voice, language, and decision-making models via easy AI calls, specialized ML models, or open-source frameworks.

Best for Business Intelligence: Ayasdi (SymphonyAI Sensa)

AyasdiAI (SymphonyAI Sensa) is a popular AI platform with advanced business analytics tools that enable entrepreneurs to interpret massive amounts of product, customer, and market-related data insights. Its primary features include a massive data analytics and modeling function, clustering, regression & classification, and topological data analysis.

The Ayasdi machine intelligence platform aims to create predictive AI models and, ultimately, automate business processes. It’s ideal for an organization’s business analysts, developers, end-users, data scientists, and operations systems.

Best Artificial Intelligence Platform for Analyzing Videos: Content DNA

The Content DNA AI platform is the best software dedicated to video content analysis. This platform is prevalent among content creators, broadcasters, and telecommunication companies for performing some video editing tasks.

Content DNA is suitable for scene recognition, anomaly detection, content analysis on the scene level, and enriching metadata. It’s compatible with multiple types of content, including sporting events, movies, TV shows, etc.

The platform is user-friendly, even for beginners. It’s available for a free trial of 100 processing hours, after which a subscription model is presented. However, only a one-time access fee is required for unlimited access.

Best for Content Generation: Jasper (Initially Jarvis)

JasperJasper is a popular AI content-generating tool that can write unique and diverse content on any topic. You are only required to provide the AI with seed phrases, keywords, or topics before it composes paragraphs or documents related to your given directions.

Jasper, formerly known as Jarvis, can write a 10,000-word article with the free version. The platform supports over 25 languages and has over 50 AI content-type templates such as emails, blogs, articles, ads generators, SEO content, press releases, etc. Moreover, its user-friendly interface makes it easy for almost everyone to use.

Best for Conversational Bots: KAI

KAI is an innovative conversational AI model developed by Kasisto. It offers virtual assistants and bots on multiple devices and platforms, including phones, wearables, and messaging. KAI doesn’t require coding but is built with industry-specific knowledge to enable human-like, cross-intent tête-à-tête experiences.

KAI can also act as an innovative or caring AI companion model that helps users reduce anxiety and feel content, happier, and calmer through its integrated wellness, exercise, and other techniques. Additionally, KAI features a deep-learning toolset for data grouping and analysis, testing, model training, and distribution.

Best for Cybersecurity: Symantec Endpoint Protection

Since the COVID-19 pandemic hit, cybercrime has increased by a whopping 600%, and the worldwide cost of these crimes is estimated to be $6 trillion annually. Sadly, this trend isn’t likely to reverse, as cybercriminals will breach about 33 billion records in 2023.

For this reason, AI platforms like Symantec Endpoint Protection have been launched, helping secure virtual assets for large organizations, small businesses, and individual users through machine learning technology.

This program is designed to be reactive. As the AI encounters various online threats, it will learn how to differentiate the good from phishing files, and combat these malicious files through firewalls or by blocking specific networks suspected to be unsafe.

This AI also eliminates the need for human responsibility of updating/configuring software, as it’s already designed to download updates from safe sites. Overall, Endpoint security is an excellent last-line defense against cyber attacks, although it shouldn’t be your only option.

Best for Business Intelligence: Salesforce 

Salesforce cloud-based and ML-integrated software is an essential tool for enterprises that would like to manage their customer satisfaction (service industry), sales, and product design processes better.

The AI platform serves as a virtual assistant in recommending and automating recurrent data input to help business owners and employees achieve more informed decisions, goals, and visions.

Salesforce is ideal for all enterprises, from sole proprietorships to startups and large corporations. It also has various applications to enable companies to tailor their user interface to their customers’ needs.

Best for Machine Learning: H2O.ai

The H2O.ai platform is the best end-to-end machine learning and application development platform. It’s easy to use and, therefore, suitable for both novices and experts to build or train in AI models using AutoML abilities.

This open-source platform is ideal for various forms of data such as tabular, text, audio, video, or images. Its enterprise machine learning support allows businesses to control their digital advertising, fraud prevention, business analytics, designing virtual assistants, and claims management, among other features.

H20.ai can be best suited for banking, insurance, telecommunications, and health industries. Its free version allows unlimited access to the platform’s abilities for a fortnight.

Best for Litigation Process Analysis: Premonition

Premonition AI is a platform that stores a vast litigation database and can analyze up to 50,000 documents in the twinkle of an eye. This system analyzes the track records of attorneys, judicial systems, and judges to help you select the best lawyers. For instance, if the lawyer has never lost in front of a specific judge.

The law can be a tricky subject for a layperson. Therefore, it is prudent to take your time and do due diligence when finding a great lawyer who is well-conversant and experienced with legal processes. However, this process can be daunting.

Finding an expensive lawyer is not enough as it doesn’t necessarily translate into assuring you of a good performance/outcome. There are affordable lawyers out there with phenomenal case records. This system also helps select co-counsel, find expert eyewitnesses, and analyze the opposing counsel’s winning rate. Finding a lawyer has never been easier!

Best for Software Development: Wit

Wit.ai is an open-source, Meta-owned natural language processing (NLP) platform designed with an extensive natural language to enable software and applications developers to create AI virtual assistants, chatbots, and other applications.

The platform learns human language from different interactions and utilizes the community by sharing whatever is discovered with many developers. For instance, organizations receive structured data feedback that’s easy to analyze whenever an end-user sends a voice or text message to the platform.

Wit is a free-to-use platform that enables users to enjoy hands-free mobile user experiences. It’s also great for bot development, mobile apps, and home automation.

Best Text-to-Speech Generator: Murf

If you’re looking for a text-speech generator, Murf tops the list of the most impressive AI voice generators. It allows you to change the text to speech, create voice-overs, and do dictations.

Professionals, including podcasters, content creators, educators, and entrepreneurs, use this tool because it minimizes human error in speech delivery. It also has various tailor-made dialects and voice options to help generate a human-like voice.

Its library has more than 120 natural-sounding voices in 20 languages, and you can customize your preferences, like accents, tone, purpose, speaker, and voice.

Best for Coding: Caffe

Caffe.ai is a deep-learning framework designed to simplify the coding process for software developers. Berkeley AI Research developed the platform with expression, swiftness, and modularity in consideration.

This app encourages innovation and expressiveness through the design for end users. Its extensible code nurtures dynamic development and is used by researchers, small enterprises, and corporates to design digital projects.

Caffe’s team of 1,000 developers helps the platform feature the best codes and models in the coding world. It can be incorporated into Python to finetune coding models, solve bug issues, and test coding projects, according to the information on the site.

How to Pick the Best Artificial Intelligence Platforms: Step by Step

As is clearly evident in this guide, each AI platform is unique, has diverse data sets, and is best suited for a particular function. However, some are similar and offer the same products. With the diverse nature of some of these platforms, it would be best to get equipped with tips on picking the best AI platform for your needs. These top considerations include:

• Type of Machine Learning
• Workload reduction
• Costs
• Data privacy
• Ease of Integration

Let’s look at each one in more detail.

Type of Machine Learning

The machine learning technique incorporated into an AI platform is a vital consideration because it’s the driving force behind AI. It determines how easy it is to use an AI. The primary ML algorithms in AI are supervised, semi-supervised, unsupervised, and reinforcement learning.

In supervised ML, the AI is monitored by human beings while it’s learning human attributes. Hence, either you or the developers would have to feed the AI with information to help it learn.

An AI with unsupervised ML doesn’t require human input, and it uses available data to identify patterns and establish correlations in raw data. Semi-supervised learning incorporates both labeled and unlabeled data to give meaningful information.

For the reinforcement learning algorithms, users provide a set of commands, end values, and parameters that guide the machine via trial and error. The AI learns and adapts from previous experiences and eventually adopts various approaches suited to a situation. However, most ML platforms don’t feature this technique as it necessitates higher computing power, which may not be affordable for many organizations.

Workload Reduction

AI is believed to reduce the need for an extensive manual labor force. It’s essential to consider an AI platform that effectively reduces the need for constant human supervision, enabling employees to focus on other organizational goals.

Acquisition and Running Costs

Considering operational and initial acquisition costs is vital when selecting an AI platform. Although some are freely accessible, others require subscription payments to acquire more features or remove limits.

The various costs include transaction-based charges, CPU-based charges, and subscription charges, among others. Although they may vary, ensure you are conversant with all costs in both the short and long term.

Data Privacy/Safety

It’s essential to validate the data privacy requirements and where data is stored, especially with business AI models, because they entail handling critical clients’ data. The data breaches from Meta’s Facebook and Cambridge Analytica are persistent reminders that client data can end up on unauthorized sites without the owner’s consent.

Ease of Integration

Finding an AI platform that will be easy to incorporate into your business’ daily routines is also important. Some models are complex and require adequate prior training to learn, which can be a colossal waste of time.

Typically, you should hit the ground running; hence, always aim for a seamless and straightforward AI integration process by choosing one that’s simple to learn.

What to Know Before Buying the Best Artificial Intelligence Platform

The initial adoption phase of AI is already here. However, consumers are still somewhat confused about what to expect or how it’s best suited for various business models. Before settling on an AI platform, you should acquaint yourself with these crucial facts:

1. The key AI platform elements include APIs for artificial intelligence (speech, language, and vision), machine learning libraries and tools, cloud infrastructure, and notebooks.
2. It’s estimated that the AI industry will contribute $15.7 trillion by 2030 and that there will be more AI assistants in jobs.
3. According to Forbes, reports have revealed that adopting AI models can help maximize profits, minimize errors, and predict demand patterns, enabling proper prior planning and resource allocation.
4. Ethics in artificial intelligence remains a buzzing topic among professionals in the field and the global market. This relates to contentious use, such as employment loss, fair use in competition, inequality, discrimination, privacy, and humanity.
5. AI algorithms aren’t natively intelligent. This means that a significant gap exists between today’s institutional and industry leaders that have already incorporated AI and laggards. The industry leaders have invested lots of finances, expert input, and infrastructure to enhance their AI production process.
6. AI is here to stay and it’s projected that it may outsmart human beings by 2025. It’s a vital tool businesses use to gain a competitive edge in the market.
7. Lastly, AI may harm a brand’s reputation if not incorporated correctly and with due diligence.

Using the Best Artificial Intelligence Platforms: What it’s Like

AI is already a part of our lives, from chatbots to autonomous cars, robots, etc. An overwhelming percentage has already used AI unknowingly. However, most end-users are either afraid or confused by AI. So, what is it like to use it?

In reality, we’ve all encountered AI, and it impacts our lives in one way or another. Our lives are entirely intertwined with the internet, especially since the pandemic. We also use various AI-powered apps, such as Google Maps, Siri, Amazon’s Alexa, etc.

AI significantly reduces the risk of error; hence, the data produced is often true and accurate, and it’s processed fast. AI also features zero emotions or empathy. Therefore, it’s more likely to deliver unbiased results.

Additionally, AI is a valuable tool in performing the daunting repetitive tasks we find boring, such as home chores, carpeting, grass mowing, etc. This allows us to focus on developing our creative abilities and spending more time with our loved ones.

However, there are certain drawbacks to using AI, such as encouraging laziness and discouraging creativity, and the processes can be tedious and monotonous. AI platforms can only perform tasks they’ve been developed to do. When commanded to accomplish anything else, they often fail or perform dismally, which could pose adverse effects.

Conclusion

Although there are debatable cases for and against using AI, it’s no doubt that this new technology will revolutionize global industries. This begs for the age of AI training and upskilling to enhance its adoption and success in the modern world.

We hope we’ve answered your question about the best AI platforms on our comprehensive list. And, as you’ve seen, this industry is vast. Though still young, it will be hard to ignore in a couple of years.

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