Forbes 30 Under 30 Enterprise Technology Company, Accern, Enables Financial Services Teams to Accelerate AI Implementation 75x faster with Its No-Code AI Platform
Accern Corporation, a leading no-code, Artificial Intelligence (AI) company released the upgrade of its no-code AI platform, which provides the ultimate user-friendly experience with easy navigation, accelerated performance, and customizable features. Data science, product, and technology teams can use Accern’s No-Code AI platform to accelerate the implementation of AI and machine learning (ML) into their workflows, without writing a single line of code.
Built with the user experience in mind, the Software-as-a-Service (SaaS) development platform enhances business users’ and data scientists’ workflows. Business users can expect a 24x productivity gain and greater insights to aid risk and investment insights through natural language processing (NLP), while data scientists will be able to build AI use cases 75x faster with Accern’s no-code AI functionalities.
The main features include:
- Click-through User Interface (UI), providing users a clear and transparent, five-step process to build custom AI use cases.
- Largest Collection of Unstructured Text Data, allowing users to choose from over 1 billion global public news sites and blogs, Dow Jones, Naviga, Factset, Morningstar, and multiple social media sources.
- Flexible Data Connectors, allowing users to integrate their own data sets and internal documents like PDF, CSV, HTML, JSON, and more.
- Largest Finance Taxonomy with over 10 million keywords, allowing users to auto-tag and filter their data on financial securities, companies, products, executives, themes, events and more.
- Powerful NLP Models for Finance, providing users highly accurate, pre-trained adaptive NLP models to accelerate their AI efforts for financial service use cases.
- Advanced NLP Model Trainer, allowing users to retrain any of Accern’s NLP models on their data or Accern’s data.
- Multiple Export Functions, providing users the flexibility to export their AI use cases into their existing workflows such as Snowflake, ElasticSearch, Amazon S3, Microsoft PowerBI, Kibana and more.