Blue Lucy Launches Flexible AI and Analytics Tools to Simplify Media Workflows
Blue Lucy, a key player in media management and workflow automation, introduces a new approach to applying AI in media operations with its BLAM orchestration platform. This platform now supports direct integration of multiple Large Language Models (LLMs), letting producers, distributors, and content creators customize AI use based on specific workflow needs.
By offering a modular, mix-and-match setup, Blue Lucy moves away from generic AI solutions. This gives operators control over performance, cost, and crucially, data privacy—allowing them to choose the best AI model for each task.
AI That Matches the Task
At IBC, Blue Lucy will demonstrate how BLAM enables users to deploy and test various AI models simultaneously. This flexibility helps select models based on business context, performance, security, and expense.
Whether the goal is generating metadata, ensuring compliance, summarizing shots, or creating promos, operators can chain together different AI connectors in a multi-step workflow. Each LLM can be assigned to specific business capabilities, optimizing both quality and efficiency.
- A lightweight summarizer model can handle large archives cost-effectively.
- A more advanced model can process high-value footage where accuracy is essential.
Thanks to Blue Lucy’s microservice-based workflow engine, the system can automatically direct tasks to the most suitable AI model at the right stage. This ensures operational workflows remain both scalable and precise.
Julian Wright, Blue Lucy’s CEO, highlights the economic pressures on production and distribution alongside the growing capabilities of AI models. He points out that because business needs vary widely, a one-size-fits-all AI model isn’t practical.
BLAM’s new microservices cover a broad range of common LLMs, plus a framework for integrating proprietary AI models seamlessly. This setup allows media companies to build workflows combining sophisticated orchestration rules with AI models that deliver measurable business benefits.
The key is giving operators visibility and control, so they decide which model fits each job while maintaining data sovereignty. This approach supports a paced adoption of AI, fully integrated into daily operations.
Introducing Insights: Actionable Analytics Within BLAM
Alongside BLAM’s AI capabilities, Blue Lucy is launching Insights, an analytics package that provides clear, actionable data from across the media supply chain. This tool helps teams identify content usage patterns, workflow performance, and bottlenecks.
Insights turns operational data into an asset for making informed decisions. Users can measure efficiency, spot trends, and improve workflows directly from the BLAM interface.
Wright explains that BLAM already collects extensive data from internal processes and connected systems. After 18 months of development, Insights now delivers a new level of business insight to support management decisions.
This feature helps teams continuously improve content operations by providing visibility into every stage of the supply chain.
Why This Matters for Management and Operations
For leaders and decision-makers in media, Blue Lucy’s tools offer practical ways to reduce costs and enhance workflow efficiency without sacrificing control over data or quality. The ability to pick and combine AI models ensures alignment with specific operational goals.
Additionally, Insights provides the transparency needed to optimize processes and justify investments in AI and automation.
For professionals interested in expanding their AI knowledge and skills relevant to media and operations, exploring targeted training options can be valuable. Resources like Complete AI Training offer courses tailored to various job roles and industry needs.
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