For organizations seeking to adopt AI and analytics to modernize their operations, OpenText provides a broad range of tools. It applies AI and analytics to IT, DevOps, customer experience, cybersecurity and other areas. With features like predictive analytics, generative AI and conversational search, OpenText promises to help people work more effectively and make better decisions while protecting data privacy and security. It serves a range of industries, including banking, insurance, health care and the public sector.
Another strong contender is Aisera, a generative AI platform that automates work in multiple areas including IT, HR, customer support, sales and operations. It includes AI Copilot for proactive services, Agent Assist for agent productivity and AI Search for enterprise-wide search. Aisera's domain-specific Large Language Models (LLMs) offer quick access to information and can automate repetitive tasks, and it's designed to be responsible and secure.
Abacus.AI lets developers build and run applied AI agents and systems at large scale using generative AI and other cutting-edge methods. It includes tools for predictive modeling, anomaly detection, language AI and other tasks. The platform can handle complex workflows and integrate with a wide variety of data sources, making it good for automating tasks, real-time forecasting and optimizing operations.
For a newer approach, Parallel AI offers a platform to automate business operations with AI models like GPT4 and Claude 3. It has Long-Term Memory to remember previous conversations and an AI Knowledge Base to train AI employees. With tools like Workflow Builder and integration with Slack and Google Docs, Parallel AI promises to increase productivity and create a smarter work environment while focusing on security and privacy.