The top 10 artificial intelligence marketplaces that shape the future of businesses

Do you need some AI? There’s a marketplace for that! Big Data analytics and solutions, speech recognition, learning and decision-making products— that’s what makes an artificial intelligence (AI) marketplace. It’s the destination for the latest innovations in AI infrastructure and computer systems. How can AI marketplaces revolutionise the systems of artificial intelligence and the way they are built to solve the world’s greatest challenges?

#1 Knoema

Knoema is an innovative and interactive online catalogue of economic, environmental and demographic data. On its homepage, it promotes: “Knoema is a search engine for data seamlessly connecting public and private sources and making data discoverable and accessible to information workers. Knoema does for data what Google did for websites and the Internet overall. It makes it trivial to find data when you need it and make a story out of it.” This AI marketplace combines data-gathering with the presentation to create an online bank of socioeconomic and environmental data-sets. Basic data discovery functions are search, categories/topics, countries, and sources. The World Data Atlas provides an innovative tool to discover data. Besides search and filter options it comprises a country list, sources, rankings, maps, commodities, a data coverage matrix and even provides basic information on each country.

#2 Algorithmia

With Algorithmia, developers are able to turn algorithms into scalable web services with just a single click. These can then be integrated by developers in their own applications. Algorithms are categorised into Text Analysis, Machine Learning, Computer Vision, and Deep Learning. While standard users can access the algorithms run as micro-services via an API (Application Programming Interface), enterprise users can also use it on their infrastructure or any cloud service. Altogether, there are more than 800 algorithms available on the marketplace.

#3 Amazon Web Services

Amazon Web Services offers tools to create machine learning models and to generate predictions with scalable, high-performance prediction generation services. Currently, it has the highest number of services and options available. AWS showcases product categories on specific marketing pages and offers a lot of content and information about its products. The cloud computing platform, which is provided by Amazon, provides a mix of infrastructure as a service, platform as a service and packaged software as a service offerings. An advantage of Amazon Web Services is that you are able to leverage new business models and turn capital infrastructure expenses into variable costs. The website also provides pricing: If users want to sell products, they must follow a lengthy process starting with registering at AWS marketplace, building the product and choosing to sell it.

#4 Cvedia

Cvedia is a free, cloud-based service, with which image dataset preparation and management can be simplified. Files and augmentations can easily be exported to your local server in a format you prefer. Its goal is to reduce the effort of data preparation, collection and management and to streamline it from beginning to end to improve workflows. The clear focus of the platform is on image data. Rather than wasting days or even weeks on creating training sets, these can be done in minutes with Cvedia.

#5 Data.world

“Discover and share cool data, connect with interesting people and work together to solve problems faster” — this is the slogan of Data.world. Social media features are at its core and provide an interesting way of discovering and re-using data. As you would expect from a social media website, the upload of a new dataset is streamlined and simplified by using drag and drop. The homepage features a Facebook-like news feed and even supports interactions and rankings.

#6 European Data portal

The European Data portal is funded by the European Union and thus only provides data from the EU. The emphasis is put on information regarding the provision of data and the benefits of re-using data. The portal is not a classical AI marketplace per se and not a content host, but has discovery features like rankings, curated highlights, events, maps, news, a Twitter feed and filtering options based on country, catalogues, tags, formats, licenses and date at its disposal. Spreadsheets and statistics are additionally provided.

#7 Google Cloud Platform

The Google Cloud Platform offers machine learning services with pre-trained models and a service to generate tailored models. It provides a powerful toolset in combination with Google Cloud ML (Machine Learning), Google Cloud Jobs API (Application Programming Interface), Google Natural Language API, Google Cloud Speech API, Google Cloud Translation API and Google Cloud Vision API. Google follows an “Infrastructure as a Service” (IaaS) and a “Platform as a Service” (PaaS) approach. It is well-suited for big data applications where customers pay per use.

#8 IBM Marketplace

IBM’s cognitive system aims to provide novel interfaces between users and computers, using machine learning and natural language processing. This marketplace offers different Watson revenue models, which include tiered, recurring, one-time fee, or free of charge – depending on the selected version of Watson services –solution revenue models. IBM emphasis customer services and offers multiple service channels including a live chat and a learning centre with curated courses.

#9 Qlik Data Market

Branded as a true AI marketplace offering Data-as-a-Service (DaaS), Qlik Data Market indeed includes data in its more expensive bundles. Qlik Data Market makes finding, connecting and managing data from external sources easy. It’s possible to combine information sources and to freely examine all your data. This AI marketplace primarily offers business intelligence tools and recently acquired DataMarket.com, integrating it into its toolset. However, Qlik Data Market does not offer a data sales function.

#10 Cloudfactory

Cloudfactory aims to offload routine work for customers. Machine learning is only one type of activity on the platform. The service spectrum is long, ranging from face detection to chatbot training. There are two pricing options: Customers either subscribe based on a monthly maximum number of work hours or they buy a flex pass for a one-time project.

External writers: John Burn-Murdoch, Kyle Russell, Veritone, Güimar Vaca Sittic and Fabrice Grinda

Keywords

marketplaces, AI, artificial intelligence

Author: Ida Pichler