13 Best Artificial Intelligence (AI) Software 2023

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The demand for artificial intelligence software (AI) has increased significantly in recent years, and organizations of all sizes are adopting artificial intelligence to stay competitive.

The top AI software and services detailed in this article use artificial intelligence techniques such as generative AI, machine learning, natural language processing, computer vision, and deep learning, to solve complex business problems, automate tasks, and make data-driven decisions.

We analyzed various artificial intelligence software solutions for different use cases and teams to help you determine the best and most relevant AI applications for your needs. Our list considers software from AI companies that serve both technical and non-technical teams.

Best AI Software Comparison Chart

ChatGPT: Best for Creative Teams

Released in November 2022, ChatGPT is a language model developed by OpenAI that interacts with users conversationally. It allows you to have a human-like conversation with the artificial intelligence tool, which has the ability “to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.”

Enterprise users can use ChatGPT to brainstorm ideas, create first drafts, generate outlines, email ideas or discuss complex concepts. While ChatGPT offers many benefits, some companies have banned or limited its usage by their employees for compliance reasons and to prevent the release of confidential information. Some of these companies include Amazon, Apple, JP Morgan, Accenture, Verizon, and more.

We recommend using this tool in line with your company’s policies.

Key features

• Responds to natural language queries.
• Conversational abilities.
• Ability to generate codes and can be used to debug codes.
• Ability to create long and short forms of content.
• It has text, audio, and image models.

Pros

• Helps with the user’s research process.
• Available 24/7.
• Fast response time.

Cons

• Potential bias from the data used to train the model.
• It cannot be used as an authoritative source of information.
• Limited accuracy.

Pricing

ChatGPT pricing varies based on your chosen model and prompt.

• GPT-4 8K context prompt cost $0.03 per 1K tokens.
• GPT-4 32K context prompt cost $0.06 per 1K tokens
• GPT-3.5-turbo model costs $0.002 per 1K tokens.

Its image models start from $0.016 per image for 256×256 resolution, 512×512 costs $0.018 per image, and 1024×1024 costs $0.020 per image. The audio model (Whisper) costs $0.006 per minute.

Also see: Generative AI Companies: Top 12 Leaders

Azure Machine Learning Studio: Best for Data Scientists

Azure Machine Learning Studio is a solution designed to help ML engineers and data scientist train and deploy models and manage the MLOps lifecycle. With this tool, users can create a model in Azure Machine Learning or use a model built from an open-source platform, such as PyTorch, TensorFlow, or scikit-learn.

They can also design and build custom models and algorithms to gain insights from data, deploy them in production, and monitor the models’ analytics results as they evolve. Azure Machine Learning Studio offers several features that simplify data science and machine learning. These include automated machine learning, model management, and interactive visualizations.

Key features

• Data labeling and preparation capability.
• Automated machine learning.
• Drag and drop designer.
• Open-source libraries and frameworks.
• Hybrid and multi-cloud model training and deployment.
• Monitoring and analysis.

Pros

• Users find the drag-and-drop designer beneficial.
• Highly scalable and easy to use.
• Documentation is comprehensive and efficient technical support.

Cons

• Learning curve for new users.
• Some users say the tool is pricey.

Pricing

Azure Machine Learning Studio (classic) pricing is available in two tiers: Free and Standard.

The standard plan costs $9.99 per ML studio workspace per month or $1 per studio experimentation hour.

For the production Web API pricing

• Dev/Test: $0 per month.
• Standard S1: $100.13 per month.
• Standard S2: $1,000.06 per month.
• Standard S3: $9,999.98 per month.

Also see: Generative AI Examples 

DataRobot AI Platform: Best for Predictive Modeling

DataRobot AI platform is an automated, end-to-end platform for developing and deploying AI models. It helps organizations process and analyze data to derive insights. The platform provides tools and resources for data science teams to build, tune, and deploy models. It allows users to explore models from various algorithms to select the best-fit models for their datasets. DataRobot AI platform can be deployed as multi-tenant SaaS, single-tenant SaaS, self-managed VPC and self-managed on-premise.

Key features

• Prepare modeling data.
• Ability to build models.
• Validate and govern models.
• Integration with third-party services like GitHub, Hugging Face, Streamlit, Azure Machine, Amazon SageMaker, mlflow, and Apache Airflow.
• Supported data platforms include Snowflake, Google Cloud Storage, Amazon S3, Amazon Redshift, Google Big Query, Azure Synapse Analytics, SAP, Databricks, and Micro Azure Data Lake.
• Supported business apps and intelligence SAP, Salesforce, Power BI, Tableau and ThoughtSpot.

Pros

• It helps users make business decisions.
• Real-time predictions.
• Service health monitoring.
• Automated compliance documentation.

Cons

• The software is expensive.
• Users may find the platform complex to setup.
• Users say DataRobot model retraining automation could be more flexible.

Pricing

Data Robot doesn’t advertise its solution price on its page. However, they offer two plans: Essential 9.0 and Business Critical 9.0. Publicly available pricing on AWS and Azure marketplace shows that DataRobot AI Cloud Platform Starter Pack (for up to 5 users; standard support), which includes AutoML, Automated Time Series and MLOps, costs $98,000 per year.

On a related topic: The Future of Artificial Intelligence

Google AI Platform: Best for Research and Training Models

Google AI platform provides many different AI capabilities that enable developers and businesses to build and deploy AI-powered applications and solutions. It offers generative AI solutions based on PaLM LLM, Google Bard, which is a conversational AI chat service that functions like ChatGPT – it can generate text based on queries and is also able to generate code.

Google also offers data science solutions like Vertex AI, AutoML, Spark on Google Cloud and BigQuery ML, as well as responsible AI services.

Key features

• Low-latency serving.
• Data discovery and ingestion.
• Supports TPUs.
• Text-to-speech and speech-to-text capability.
• Contact Center AI service to improve operational efficiency.

Pros

• Large scale training.
• Google TensorFlow product can be used to scale resources across CPUs, GPUs, and Cloud TPUs.
• Easy to train models.

Cons

• Steep learning curve for new users.
• Some users say training and documentation can be improved.

Pricing

Google AI services pricing vary based on your selected solution. Contact Google’s sales team for custom quotes.

On a related topic: What is Generative AI?

IBM watsonx: Best for AI Governance

IBM watsonx is a new generation of Watson’s AI products and solutions that span across AI model-building, open data lakehouse storage, AI governance, conversational AI chatbots, task and efficiency management, and code generation and assistance. It is a highly modular platform, with users getting to choose between watsonx.ai, watsonx.data, watsonx.governance, watsonx Assistant, watsonx Orchestrate, watsonx Code Assistant, or some combination of these tools and AI assistance services.

While the official watsonx.governance tool does not go into general availability until December 2023, strong AI governance features are already built into the whole portfolio. The AI governance, AI ethics, and regulatory-compliance-focused features include a commitment to only using trusted datasets for training, hands-on data and AI governance tools for users, and a hybrid and governed large-scale data store. Watsonx.governance is expected to add additional workflow automation, GRC tools, and model cataloging and monitoring tools for additional governance capabilities.

Pricing

Pricing for most watsonx platform features is based on the number of virtual processor cores (VPCs) a user requires. Because many features are currently in preview, it is not entirely clear what the platform as a whole will cost or what the difference will be between SaaS and software pricing.

Three SaaS tiers are currently available: Trial, Essentials, and Standard. These tiers include watsonx.ai, watsonx.data, and watsonx.governance:

• Trial: Free, limited trial of watsonx.ai and watsonx.data that includes limited ML functionality and inference tokens per month as well as 1,500 free watsonx.data credits for up to 30 days. It’s expected that watsonx.governance will be included in this trial in the future.
• Essentials: A $0 per month tier fee plus RU-based token pricing per 1,000 tokens, ML tools and runtime based on Capacity Unit Hours used per billing month, supporting services at $3 per hour, cache optimized node at $2.80 per hour, and compute optimized node at $6.50 per hour.
• Standard: A $1,050 per month tier fee plus similar component-based pricing to the Essentials plan.

For AI assistant tools, the following prices are shown:

• watsonx Assistant: Lite plan for $0, Plus plan starting at $140 per month, and Enterprise plan with custom pricing.
• watsonx Orchestrate: Base plan for $200 per seat per month, or Enterprise plan with custom pricing.
• watsonx Code Assistant: Pricing information is not listed for this solution.

Key features

• AI and ML model building, training, fine-tuning, and validation.
• Hybrid-cloud-compatible data lakehouse store with shared metadata layer and workload optimization.
• Automated model and workflow documentation.
• Cross-channel conversational AI, voice agents, and chatbots.
• NLU-based AI recommendations and code completion for developers.

Pros

• The watsonx platform covers a range of enterprise-ready features for AI model and lifecycle management.
• AI governance and attention to security and compliance is built into all watsonx tools and solutions.
• Users feel that the platform offers a smooth customer experience with context-driven, smart chatbots and conversational AI.

Cons

• The pricing model for watsonx products is particularly confusing and can quickly become too expensive for scaling businesses.
• Limited capabilities and usability in languages other than English.
• The UI is considered somewhat difficult to use, especially for training data collection and management on watsonx Assistant.

Jasper: Best for Digital Marketing Agencies and Teams

Jasper is a suite of AI copilot tools that is focused on supplementing digital and content marketing efforts across social media and web channels. Its tools cover a range of features and functions, including art and image generation for ads and thumbnails, AI content templates, chatbots that provide customer and user assistance, automated end-to-end marketing campaigns, and smart understanding for brand voice and style guides.

Many users select Jasper because the platform can generate content based on the context users provide, including descriptions of what they want content to include, knowledge about specific products or services, instructions on tone of voice and audience, SEO guidance, and style guides.

Many digital marketing teams and agencies also select Jasper for its ease of use and ability to be integrated with existing marketing tools. The Jasper API, Chrome browser extension, and a variety of collaboration tools make the Jasper For Business version of the platform a particularly effective tool for holistic marketing strategies and extensibility.

Pricing

Jasper is available in three main subscription plans:

• Creator: $39 per month, billed annually, or $49 billed monthly. Includes one seat and one brand voice. A 7-day free trial is also available.
• Teams: $99 per month, billed annually, or $125 billed monthly. Includes three seats and three brand voices. A 7-day free trial is also available.
• Business: Prospective buyers will need to contact Jasper’s sales team for pricing information.

Key features

• AI-powered content writing, editing, social copywriting, and content strategy.
• Instant and automated marketing campaigns.
• Brand voice guide uploads and content application.
• SEO integrations and content optimization.
• SEO, social media, content management, and other digital-marketing-friendly integrations, as well as Jasper API for custom integrations and embeds.

Pros

• Jasper generates believable and professional marketing content because of its contextual understanding of style guides, branding, tone, and more.
• Jasper is a great option for international marketing as the tool works in more than 30 languages.
• Teams and Business plan users can have multiple users, brand voices, custom project templates, and instant campaigns; all of these features make this a great tool for marketing agencies and teams managing multiple brands or channels.

Cons

• Although Jasper includes image generation and editing capabilities, this is not a one-stop shop for video generation tools.
• Jasper generally does a good job of following marketing and branding guidelines, but it struggles to create unique and compelling content for long-form projects like blog posts and product guides.
• Perhaps because of its wide range of features, some users have commented on the platform’s confusing UI.

Glean: Best for Organizational Knowledge Management and Search

Glean is a generative AI platform that focuses on organizational knowledge management and enterprise search, giving employee users at all levels the tools they need to find, access, save, and share different kinds of business documents and data. All users are given access to the workplace search feature, which is accompanied by an AI assistant that can help users find answers and content that is catered to their specific role, search query, and search history and habits.

From an administrative perspective, the platform also does a compelling job of storing information in such a way that it’s easy to update outdated resources, manage privacy and compliance, and create teams and environments for productive collaboration. Many users also appreciate how Glean’s knowledge graph, plug-ins and connectors, and work hub platform combine the best of both ease of use and customizable workplace search and knowledge management.

Pricing

According to a Glean representative, the product is priced per user per month and billed at an annual flat rate. Though the website does not transparently list plans or rates, the Glean customer service representative with whom we chatted shared that different packages are available based on company size and scalable goals. The company typically requires a $40,000 annual contract minimum for teams with fewer than 100 users.

Key features

• Generative AI app builder.
• Deep learning LLMs with semantic understanding and NLP for plain-language user queries.
• Data governance and compliance features such as DLP reports, GDPR and CCPA compliance, and user access reviews.
• Workplace search, AI assistants, and work hub for UX-focused enterprise knowledge management.
• Slack and other third-party integrations for knowledge management across business applications.

Pros

• Glean comes with useful, prebuilt integrations with business applications like Slack.
• Glean heavily emphasizes privacy, data security, and role-based access controls.
• The platform displays information through announcements, organizational charts, a work hub layout, and other formats that make information digestible for different types of users.

Cons

• Customer support is fairly limited, especially during off-business hours.
• Compared to a number of other AI business software solutions, Glean can be very expensive to use.
• While many users like the Go Links feature, others have talked about how difficult this page is to navigate and use.

Tidio: Best for Customer Success Teams

Tidio is a live chat and chatbot platform for customer support, sales, and marketing. It allows businesses to communicate with customers and visitors in real time and analyze and optimize their conversations. It offers a suite of features, including automated chatbot responses, integrated messaging apps, AI-based automated responses, and integrations with third-party software.

Key features

• Messenger, Instagram, email integration.
• Live chat conversations.
• Chatbot triggers.
• Analytics capability.
• Native Shopify actions.
• Live chat conversations.
• Offer various chatbots, including sales chatbot templates, FAQ chatbot templates, visual chatbot builders and AI chatbots.

Pros

• Easy to setup and use.
• Allow for real-time communication with customers.
• Mobile apps option.

Cons

• Some users say the tool is pricey.
• AI Chatbots is only available for the Tidio+ plan.

Pricing

Tidio offers various pricing plans, one free and five paid plans.

• Free: No cost for up to three seats, 50 live chat conversations, 100 chatbot triggers and unlimited tickets.
• Starter: $29 per month for up to three seats, 100 live chat conversations, 500 chatbot triggers and unlimited tickets.
• Communicator: $19 per month per seat – for up to three seats, unlimited live chat conversations, 100 chatbot triggers and unlimited tickets.
• Chatbots: Starts from $19 per month for up to three seats, 50 live chat conversations, 1K to 40K chatbot triggers and unlimited tickets.
• Chatbots and communicator (bundle plan): Starts from $19 per month plus $19 per month per seat.
• Tidio+: It’s a personalized plan designed for various enterprise use cases. It starts from $329 per month.

Also see: Top Generative AI Apps and Tools

Murf AI: Best for Text to Speech

Murf.ai is a text-to-speech artificial intelligence platform that provides high-quality natural-sounding AI voices. It enables users to create voice-over content,  podcasts, and more. Murf.ai offers many features, including text-to-speech generation, powerful voice-editing capabilities, and an intuitive web-based interface.

It also provides a range of features and customization options to help users get the most out of their experience. Users can filter their desired voice to a particular age demographic, including young, middle-aged, as well as gender.

Murf AI supports over 20 languages, including English, Russian, Korean, Romanian, Tamil, Finnish, Dutch, Arabic, and Chinese.

Key features

• Has over 20 languages and accents.
• Users can add video, music, or image.
• It allows users to set their desired speed, pitch, emphasis and interjections.
• Customization capability.
• Voices for various purposes, including marketing, author, managers and more.

Pros

• Deletion recovery for enterprise plan.
• High-quality voices.
• Extensive voice options.
• Intuitive and easy to navigate and use user interface.

Cons

• Users say they experience inaccurate pronunciation.
• Users say Murf AI is expensive.

Pricing

Murf AI offers a free plan for up to three users and three paid plans for up to 25 users.

• Free: No cost for up to three users. It includes 10 minutes of voice generation and 10 minutes of transcription with access to all 120+ voices. But it lacks download capability.
• Basic: $29 per user per month, billed monthly or $19 per user per month, billed annually – for up to 10 users. It includes access to 60 basic voices, 10 languages and two hours of voice generation per user per month. Unlimited download is available for this plan.
• Pro: $39 per user per month, billed monthly or $26 per user per month, billed annually – for up to 10 users. It includes access to all 120+ voices, over 20 languages and accents and four hours of voice generation per user per month, plus two hours of transcription per user per month. Unlimited download is available for this plan.
• Enterprise: $99 per user per month, billed annually only. It includes unlimited voice generation, transcription and storage.

On a related topic: The AI Market: An Overview

H20.ai: Best for Building Custom Generative AI Models

H2O.ai is a leading AI Cloud company with over 10 years of experience providing AI and ML solutions. The company’s goal is to democratize AI and make it accessible to organizations of all sizes. H2O.ai also offers an open source generative AI platform, h2oGPT, which provides tools (H2O LLM Studio, a framework and no-code GUI) for data scientists and developers to build and deploy large language models.

H2O.ai offers several products and services built on top of the H2O platform. Some of their notable offerings include: H2O AI Cloud, which provides comprehensive automated machine learning (autoML) capabilities, H2O-3, built on various algorithms, H2O Driverless AI, which automates some complex data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection, and model deployment, H2O document AI and more.

Key features

• Distributed, in-memory processing.
• AutoML capability.
• Uses various algorithms, including Random Forest, GLM, GBM, XGBoost, GLRM, Word2Vec, for distributed computing and for both supervised and unsupervised techniques.

Pros

• Quality customer support.
• Open source products.
• Promote AI collaboration.

Cons

• Documentation can be improved.

Pricing

H2O.ai doesn’t advertise its rates on its website. They encourage interested buyers to request a demo, and quotes will be sent after the demo based on the buyer’s needs. Publicly available pricing shows that H2O AI Cloud costs $50,000 per unit with a minimum of 4 AI units.

Also see: ChatGPT vs GitHub Copilot 

Fireflies AI: Best Notetaking AI Assistant for Meetings

Fireflies.ai is an AI-powered meeting note-taking platform that automates the process of capturing meeting information, including audio transcripts, text notes, and highlights. It uses machine learning and natural language processing (NLP) to transcribe meeting recordings and provide users with actionable notes to save them hours of manual post-meeting note-taking and follow-up.

Key features

• Chrome extension.
• CRM, Zapier, and Slack integrations.
• Playback speeds: 1x, 1.25x, 1.5x, 1.75x, 2x.
• Users can create meeting clips as soundbites.
• Record Zoom, Google Meet, and MS Teams.

Pros

• Time stamped notes.
• Speaker talk-time analytics.
• Easy to setup and use.

Cons

• Occasionally slow.
• The search capability can be made better.

Pricing

• Free: No cost for up to 800 mins of storage.
• Pro: $10 per seat per month, billed annually or $18 per seat per month, billed monthly.
• Business: $19 per seat per month, billed annually or $29 per seat per month, billed monthly.
• Enterprise: Contact the Fireflies sales team for a custom quote.

Also see: Generative AI Startups 

AWS AI Services: Best for Features

AWS (Amazon Web Services) offers a range of AI services that allow developers to incorporate advanced machine learning capabilities into their applications. Here are the prominent AI services provided by AWS:

AWS computer vision

• Amazon Rekognition: For analyzing images and videos.
• Amazon Lookout for Vision: For detecting defects and automate inspection.
• AWS Panorama: Helps Utilize computer vision at the edge.

Automated data extraction and analysis

• Amazon Textract: Extract text and data.
• Amazon Comprehend: For gathering insights.
• Amazon A2I: For quality control.

Language AI

• Amazon Lex: For building conversational interfaces like chatbots and virtual agents.
• Amazon Transcribe: Transcribe is an automatic speech recognition service that can convert speech into written text.
• Amazon Polly: This service converts text into lifelike speech using advanced deep-learning technologies.

Amazon also offers other AI services like Amazon Kendra, Personalized and Translate to improve customer experience, as well as business metrics services such as Amazon Forecast, Amazon Fraud Detector, and Amazon Lookout for Metrics. DevOps teams can leverage AWS AI service code tools like Amazon DevOps Guru, Amazon CodeGuru Reviewer and Amazon CodeGuru Profiler.

Those looking for industrial AI tools may find Amazon Lookout for Equipment and Amazon Montron beneficial. Healthcare workers can use Amazon Healthlake to store and analyze health data and Amazon Comprehend Medical to extract health data.

Key features

• Integration with Other AWS Services.
• Developer-Friendly APIs.
• Offer pre-trained models.
• Deep learning capabilities.

Pros

• Scalability and flexibility.
• Easy integrations.
• Impressive and broad AI and ML services.
• Excellent training material and documentation.

Cons

• Customer support can be improved.
• Billing can be confusing.

Pricing

AWS AI service pricing depends on your desired solution. To get an idea about how much you may pay for a particular service, you can use the AWS pricing calculator to get an estimate.

Also see: Generative AI Startups

Jupyter Notebooks: Best for Creating and Sharing Computational Documents

Jupyter Notebooks is an open-source web application that allows you to create and share documents containing code and data. It provides an interactive computing environment where you can combine code execution, data visualization, and textual explanations in a single document.

Jupyter Notebooks are commonly used in data analysis, machine learning, scientific computing, and education.

Key features

• Supports over 40 programming languages, including Scala, Python, Julia, and R.
• Integrates with big data tools like Apache Spark and R.
• Data preparation, exploration and platform data modeling.

Pros

• Easy to use.
• Data visualization capability.
• Users can use this tool to practice Python for data science.

Cons

• The user interface can be improved.
• Users say the tool lags sometimes.

Pricing

Free to install and use.

For more information: AI vs. ML

Chorus.ai: Best for Client-Facing and Sales Team

Chorus is a conversation intelligence and calls recording solution that helps users analyze all customer engagements across video conferencing, phone calls, and email channels to learn about their performance in the meeting to convert prospects into pay customers.

It provides action items, advanced analytics, custom scoring, conversation tags, and advanced AI-driven insights to help teams modify actions for better customer conversations.

Key features

• Sales call analysis.
• Deal intelligence and pipeline management.
• Snippet tool.
• Automatically join Zoom meetings.
• Talk time percentages.
• Supported languages include German, English, French, Italian, Japanese, Dutch, Portuguese, Spanish, and Chinese (Traditional).

Pros

• Users praise Chorus.ai’s transcript and recorder capabilities.
• Review each speaker’s speech.
• Quality meeting recording.

Cons

• Transcriptions for non-native English speakers can be improved.
• Search functionality can be improved.

Pricing

ZoomInfo, which acquired Chorus.ai, doesn’t publicly advertise its pricing on its website. However, the company pricing page shows that they offer three plans: SalesOS, MarketingOS, and TalentOS. ZoomInfo usually charges based on your required features, functionality, license number, and credit usage.

Publicly available data shows each plan’s base pricing.

• SalesOS: Base platform access, bulk credits and premium features cost $34,995 for 12 months, $69,990 for 24 months, and $104,985 for 36 months.
• MarketingOS: ABM Pro+ access and additional premium add-ons cost $69,995 for 12 months, $139,990 for 24 months, and $209,985 for 36 months.
• OperationsOS: Enrich Premium+, 0-250k records costs $39,000 for 12 months, $78,000 for 24 months, and $117,000 for 36 months.
• TalentOS: Base Platform Access (includes Americas, APAC, and non-GDPR EU Data) costs $15,000 for 12 months, $30,000 for 24 months, and $45,000 for 36 months.

Also see: Cloud and AI Combined: Revolutionizing Tech

AI Software Benefits

AI software offers several benefits to businesses, including:

• Enhanced decision-making: With its ability to evaluate large datasets, enterprise users can gain helpful insights from their AI software. It can identify patterns, trends, and correlations that may not be readily apparent to human analysts, enabling businesses to make data-driven decisions and stay ahead of the competition.
• Cost reduction: Automating tasks and optimizing processes minimizes or eliminates costly errors and the need for manual intervention in various areas, resulting in cost savings for businesses.
• Personalized customer experiences: By analyzing customer data and behavior patterns, you can provide services tailored to your customer’s needs and offer customized customer support. It will boost your retention, loyalty and customer satisfaction rates.
• Workforce augmentation: AI software can augment human capabilities and expertise, leading to a more skilled and efficient workforce. It can assist employees in their tasks, provide real-time guidance and recommendations, and enable them to leverage AI-generated insights effectively. This collaborative approach between humans and AI improves overall business operational performance and ultimately leads to increased revenue.
• Competitive advantage: Companies can gain a competitive edge in the market by leveraging AI tools, from optimizing marketing campaigns to improving sales forecasting and enabling better product development. It allows enterprises to drive innovation and capture the market early with innovations and solid solutions.

How to Choose the Best AI Software

• Identify your business needs; how exactly will you use this software?
• Clearly outline the goals you want to achieve with AI software.
• Assess technical requirements – consider scalability, compatibility with existing infrastructure, programming language support, and data integration capabilities.
• Assess the learning curve for your team and consider the availability of training resources, documentation, and support from the software provider.
• Evaluate customization options to determine whether the AI software can be tailored to your business needs.
• Analyze the algorithmic capabilities – consider whether the software supports deep learning, machine learning, natural language processing, or other AI techniques relevant to your needs.
• Check for data privacy and security.
• Read user reviews and case studies.
• Consider vendor reputation and support.
• Conduct trials and demos.
• Consider the total cost of ownership (TCO).
• Seek expert advice if needed – If you lack in-house expertise, consider consulting with AI experts or engaging a trusted technology advisor who can guide you based on your business needs and industry requirements.

Also see: 100+ Top AI Companies 2023