Automation News

Aera Technology’s generative AI to improve enterprise decision automation

Aera Technology’s generative AI to improve enterprise decision automation

At the Gartner Supply Chain Symposium/Xpo™ 2024, Aera Technology, a company branded as the Decision Intelligence Company, launched new generative AI features into its Aera Decision Cloud™ platform. This upgrade aims to go beyond AI-based decision-making automation for international companies. The AI-powered conversational interface triggers instant insights and recommendations that are customized to complex issues, shortens the decision-making process, and creates immense value. 

Aera Technology’s platform allows enterprises to grasp the whole business performance with up-to-date information and link decision-making across various functional areas. It enables businesses to forecast results and make quick and precise decisions. The real-time recommendations allow users to take immediate action through web, mobile, or voice interfaces, or the system will automatically execute their decisions. The system constantly learns and is able to keep a complete record with context for each decision so users can track and improve their decisions in the future. 

Shariq Mansoor, co-founder and CTO of Aera Technology stated that the incorporation of large language models strengthened the platform’s natural language capabilities. He stated that Aera collaborates with the organization in decision-making through its GenAI-powered system. He argued that users don’t have to be familiar with data names or hierarchies; furthermore, Aera facilitates guided conversations. Insights are delivered in real time, and recommendations are formulated based on comprehensive, precise, and situational data to resolve intricate supply chain challenges efficiently. 

The Aera Decision Cloud now has the following new GenAI capabilities:

  • True Conversational User Experience: This component allows Aera to create context-specific answers to natural language questions using voice or chat mediums, thus improving the interaction between the user and Aera, which is more intuitive and engaging.
  • Trusted Outcomes: Users are advised to look for biased, hallucination-free suggestions. Each proposition represents the data derived from the platform’s Decision Data Model™, which makes the system’s outputs more reliable and trustworthy.
  • Scalable Infrastructure: Aera provides scalable, extensible, and composable machine learning infrastructures. This infrastructure is based on a multi-agent paradigm, making it suitable for use with a variety of large language models (LLMs).
  • Secure Architecture: The platform guarantees the data to be secure and private, using a combination of LLMs and a properly developed access control system for protecting user data.

The Gartner Supply Chain Symposium/Xpo™ is a key event for CSCOs and supply chain leaders who are faced with ever-increasing complexity challenges and are required to produce the best performance. This conference is essential to help the top supply chain organizations that want to manage the current turbulence and set the right path for long-term success. The Gartner Supply Chain Symposium/Xpo™ 2024 is a supply chain excellence guide intended to help organizations perform in the present and prepare for future demands. The participants can connect with their peers of 3000 people and discover new technologies at the showcase. 

These registered trademarks and service marks are owned by GARTNER and/or its affiliates in the U.S. and internationally and are used here with permission. 

What is your reaction?

In Love
Not Sure
ToAI Team
Fueled by a shared fascination with Artificial Intelligence, the Times Of AI journalists team brings together various researchers, writers, and analysts. We aim to provide a comprehensive knowledge of AI for a broad audience of the Times Of AI. Through in-depth analysis of the latest advancements, investigation of ethical considerations around AI development, AI governance, machine learning, data science, automation, cybersecurity, and discussions about the future impact of AI across various sectors, we aim to empower readers with the details they need to navigate this rapidly evolving field.

    You may also like

    Leave a reply

    Your email address will not be published. Required fields are marked *