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Leveraging Consensus Logic and Escalations to Improve RLHF

In the evolving world of AI development, ensuring alignment between machine behavior and human intent is critical. This blog explores how consensus logic and escalation workflows can significantly enhance the effectiveness of Reinforcement Learning from Human Feedback (RLHF). By aggregating multiple human judgments and escalating ambiguous cases to expert reviewers, these strategies reduce bias, increase reliability, and improve the overall trustworthiness of AI systems.

Unlocking the Potential of In-cabin Solutions: Emerging Use Cases & Evolving Data Needs

As vehicles advance toward autonomy, in-cabin monitoring systems are becoming essential for enhancing safety, comfort, and compliance. These AI-driven systems track driver alertness, passenger behaviour, and environmental factors—transforming the driving experience and meeting growing regulatory demands. With the market projected to soar past $3.2B by 2031, the need for smart, reliable monitoring has never been greater.

iMerit supports this evolution with high-quality data annotation via its Ango Hub platform, combining predictive AI with expert oversight. This ensures automotive companies can train accurate, bias-free models for use cases ranging from driver fatigue detection to child safety—driving innovation in next-generation vehicle intelligence.

Generative AI Chatbots in Healthcare

Generative AI chatbots are reshaping the healthcare industry by streamlining operations, enhancing patient care, and offering round-the-clock support. From symptom checking and appointment scheduling to chronic disease management and mental health assistance, these AI-powered assistants provide scalable, accessible solutions for patients and professionals alike. As technology evolves, so does their potential—integrating with wearables, delivering personalised care, and supporting complex diagnoses with impressive accuracy.

Despite the promise, challenges like data privacy, regulatory compliance, and the need for expertly annotated medical datasets remain. iMerit addresses these issues head-on with secure, HIPAA-compliant data solutions, expert-driven annotation services, and domain-specific reinforcement learning support. With its proven track record and deep expertise in healthcare AI, iMerit is empowering organisations to build accurate, ethical, and scalable AI chatbots that are shaping the future of patient-centred care.

Turning Raw Data into AI Insights with Snowflake and Ango Hub

In today’s fast-evolving AI landscape, enterprises face challenges in scaling machine learning workflows from development to production. This blog explores how the integration of Snowflake and iMerit's Ango Hub streamlines AI data pipelines—combining robust cloud data warehousing with advanced multimodal data annotation. Learn how this powerful synergy accelerates model training, enhances data quality, and enables seamless MLOps with automation and human-in-the-loop precision.

Discover how Snowflake and Ango Hub transform raw data into AI insights through seamless integration of cloud storage, automated annotation, and expert validation—empowering scalable, high-quality AI development.

What Manufacturing Business Leaders Need to Know about AI

Artificial Intelligence (AI) is fast becoming a critical component of business operations for manufacturers. As AI becomes more established, manufacturing executives need to keep pace by understanding its implications and potential benefits.

At Epicor, we’re developing more than just a chatbot. Epicor Prism is a network of vertical AI agents that utilize the power of large language model (LLM) services. Prism is already available in Epicor Kinetic, our global cloud ERP for manufacturers, and our long-term vision is for Epicor Prism to serve as the user interface for LLM-enabled processes across all Epicor ERP platform.

Access our eBook to get a clear understanding of how you can apply AI to improve your manufacturing business.

5 Tips for a Successful ERP Implementation

Implementing a single enterprise resource planning (ERP) system can enable manufacturers to:

Access information easily.
Automate common tasks.
Scale business processes.

Download this white paper to learn 5 key strategies for helping ensure a smooth ERP implementation.

Cloud ERP: Transforming Business Operations in 2025

According to the “IDC MarketScape Worldwide Saas and Cloud-Enabled Operational ERP Applications 2024-2025 Vendor Assessment” report, 43% of manufacturers plan to adopt new ERP solutions within two years—with many prioritizing generative AI. Businesses are shifting to AI-powered cloud ERP to improve compliance, security, and agility. Key drivers include regulatory changes, data center modernization, and the move from capital to operational expenditure models.

In the report, you’ll learn about strengths, weaknesses and challenges of modern ERP systems, including:

Strengths: Scalability, real-time analytics, and AI automation boost efficiency and cost savings.
Weaknesses: Integration challenges, high implementation costs, and customization limitations hinder adoption.
Challenges: Meeting AI automation demands, enhancing cybersecurity, and improving user experience while maintaining reliability.

Get the report to see how AI-driven ERP systems re automate workflows, enhance decision-making, and give manufacturers a competitive advantage.

What Manufacturing Business Leaders Need to Know about AI

Artificial Intelligence (AI) is fast becoming a critical component of business operations for manufacturers. As AI becomes more established, manufacturing executives need to keep pace by understanding its implications and potential benefits.

At Epicor, we’re developing more than just a chatbot. Epicor Prism is a network of vertical AI agents that utilize the power of large language model (LLM) services. Prism is already available in Epicor Kinetic, our global cloud ERP for manufacturers, and our long-term vision is for Epicor Prism to serve as the user interface for LLM-enabled processes across all Epicor ERP platform.

Access our eBook to get a clear understanding of how you can apply AI to improve your manufacturing business.

5 Tips for a Successful ERP Implementation

Implementing a single enterprise resource planning (ERP) system can enable manufacturers to:

Access information easily.
Automate common tasks.
Scale business processes.

Download this white paper to learn 5 key strategies for helping ensure a smooth ERP implementation.

Cloud ERP: Transforming Business Operations in 2025

According to the “IDC MarketScape Worldwide Saas and Cloud-Enabled Operational ERP Applications 2024-2025 Vendor Assessment” report, 43% of manufacturers plan to adopt new ERP solutions within two years—with many prioritizing generative AI. Businesses are shifting to AI-powered cloud ERP to improve compliance, security, and agility. Key drivers include regulatory changes, data center modernization, and the move from capital to operational expenditure models.

In the report, you’ll learn about strengths, weaknesses and challenges of modern ERP systems, including:

Strengths: Scalability, real-time analytics, and AI automation boost efficiency and cost savings.
Weaknesses: Integration challenges, high implementation costs, and customization limitations hinder adoption.
Challenges: Meeting AI automation demands, enhancing cybersecurity, and improving user experience while maintaining reliability.

Get the report to see how AI-driven ERP systems re automate workflows, enhance decision-making, and give manufacturers a competitive advantage.

Next Generation Financial Consolidations for the Cannabis Industry

The rapidly developing Cannabis industry brings with it a large number of unique financial management challenges, not the least of which is the financial consolidation process. Whether it’s bringing the data together or distributing the financial results broadly, the fast pace of this evolving industry results in some very challenging intricacies related to financial consolidations.

If consolidated financial statements are the desired and necessary outcome to meet stakeholder and regulatory reporting needs, then working backwards, we can chronicle the consolidation process and discuss the challenges of aggregating the balances and transactional activity from the business units. This will set the stage for discussing an approach for improving not only the financial consolidation process, but also augment the analytical and real-time reporting capabilities of the finance function.

The AI Revolution in Building Supply: Transforming the Industry, Shaping the Future

AI is becoming increasingly practical and intuitive. Established systems like Enterprise Resource Planning (ERP) are embedding AI directly into business processes, boosting efficiency while reducing costs.

Launching AI strategies from within an ERP system makes it easier to reap the benefits of AI without the complexity of lengthy, expensive integrations. Whether you’re just starting out with AI or already innovating around this emerging technology, this guide will help you strategize effectively, embrace new possibilities, and answer important questions about the advantages of AI in the landscape of building supply.

The Future of ERP

Embracing innovation is not just an option—it’s a necessity. The key to unlocking your business’s full potential lies in combining cloud computing and artificial intelligence (AI) within your Enterprise Resource Planning (ERP) system.

The cloud ERP market is projected to soar at a compound annual growth rate (CAGR) of 18% by 2030. Keeping pace with this evolution, 52% of businesses are already harnessing AI in their ERP to supercharge important decision-making processes.

Download this eBook to revolutionize your business and ERP system with the power of cloud and AI. You’ll discover the benefits these technologies bring to the table, from increased agility and scalability to streamlined operations and enhanced customer experiences.

Harnessing the Power of AI in Building Supply

Artificial Intelligence (AI) is transforming the building supply industry. By taking the time to explore this guide, you’re already positioning yourself to move ahead of the knowledge curve.

While 85% of executives intend to increase their investment in AI, the path to AI adoption isn’t always clear. Recent studies show that 40% of companies are still in the AI exploration phase, held back by a lack of clear guidance and strategic planning.

This guide aims to bridge that gap in four actionable stages:

Developing a clear vision for AI adoption
Creating your AI game plan
Rolling out effective AI strategies
Using AI safely in the short- and long-term

Why Growing Businesses Choose Sage Intacct

Are you a growing business looking for a way to track KPIs effectively, find time savings, and improve work-life balance? Discover how Sage Intacct can help you achieve these goals. From tracking KPIs with dashboards and multi-entity reporting to moving to paperless automation, learn how your current software might be holding you back and how Sage Intacct can transform your operations.

Download the e-book now to discover:

How to track KPIs effectively with dashboards and multi-entity reporting.
Strategies for finding time savings and performance efficiencies.
The signs that you’re outgrowing QuickBooks and what to do about it.
The benefits of moving to paperless automation and improving financial visibility.
Tips for improving work-life balance for financial leaders.