Discover key technologies and use cases driven by ‘Low-Code, No-Code’ platforms to empower organisations in streamlining processes, boost productivity, and adapt to the fast-paced digital landscape. This article will delve into the significance of LCNC platforms and their relevance in the media and entertainment industry.
Understanding Low-Code, No-Code (LCNC)
Data science works best and is most successful with the right mix of domain knowledge (or ‘tribal knowledge’ as many prefer to call it). One of the key challenges is that the domain experts are put off by the complex processes which only a Data scientist can muster. LCNC platforms simplify the utilisation of machine learning and artificial intelligence (AI) by providing a user-friendly environment for building and deploying AI models. They bridge the gap between domain experts and data scientists, enabling individuals with the right domain knowledge to harness the power of AI without delving into complex coding processes.
This democratisation of AI and machine learning has profound implications for various industries, including the media and entertainment sectors. Companies like Amazon, Microsoft, Google, and IBM are already incorporating LCNC services into their enterprise cloud platforms, paving the way for more accessible and efficient AI integration into applications.
LCNC's spotlight in Media and Entertainment
The media and entertainment industry relies heavily on established content creation, production, and distribution processes. LCNC platforms can seamlessly integrate with these processes, augmenting them without necessitating a complete overhaul.
Here’s why LCNC is relevant in this industry:
- Streamlined Automation: LCNC-based computing pipelines can automate various aspects of content processing, reducing the need for manual intervention. This in turn, enhances productivity and efficiency. By embracing LCNC, media organisations can automate tasks such as content validation, moderation, and even the creation of promotional content, making their operations highly efficient.
- AI Integration: Media and Entertainment companies can benefit from AI-assisted content management, leading to better content recommendations, personalisation, and improved user experiences.
- Data Analysis: LCNC platforms provide powerful data analysis capabilities, offering high visibility into the entire content lifecycle. This visibility aids in decision-making and better monetisation of content.
- Scalability: LCNC systems are inherently scalable, enabling media companies to adapt to changing demands and reduce the total cost of ownership (TCO).
Use cases that rewrite the script
The impact of LCNC in media and entertainment is already evident through several use cases:
LCNC can generate automated reels or highlight videos from longer content, saving time for editors and creators.
Automated translation of subtitles into multiple languages can significantly enhance content accessibility.
LCNC can recommend and curate binge-worthy content, keeping viewers engaged and increasing content consumption.
AI-powered LCNC platforms can suggest optimal ad placements, maximising revenue for broadcasters.
By analysing user preferences and behaviours, LCNC systems can deliver highly personalised content recommendations.
AI-driven LCNC can automatically validate content for compliance with industry standards and guidelines.
LCNC tools can facilitate the onboarding of user-generated content onto platforms, expanding content libraries.
Lights, Camera, LCNC: Revealing media and entertainment's superpowers
The industry adoption of Low-Code No-Code platforms have seen an increase of 15-20% during this year. However, the productivity increase after adopting LCNC platforms is as high as 30-35% and is expected to grow further once business process optimisation moves towards more digital in the media and entertainment industry.
The adoption of LCNC platforms brings a host of advantages, completely transforming the way companies operate and bolstering their competitive edge. Through the magic of automation, LCNC takes the load off labour-intensive content processing tasks, allowing teams to redirect their energy towards more creative and value-packed endeavours. Furthermore, LCNC platforms act as quality enhancers, ensuring that the content shines brightly in the spotlight. By automating validation and compliance checks, they reduce errors and ensure that content meets regulatory standards. In terms of customer experience, LCNC’s personalisation capabilities shine.
By offering highly tailored content recommendations and facilitating seamless user experiences, media and entertainment companies can significantly boost viewer satisfaction.
LCNC’s ability to optimise ad slot recommendations and content delivery ensures that businesses can maximise their revenue potential while delivering content that aligns with viewers’ preferences.
Finally, LCNC systems require less maintenance. These scalable and automated systems are designed to function efficiently with minimal ongoing attention, reducing operational costs and allowing organisations to focus on strategic objectives rather than routine maintenance tasks.
Unlocking LCNC for AI projects
When considering an LCNC approach for AI projects, several factors come into play:
- Module Reusability: Modules should be designed with reusability in mind to maximise efficiency.
- API Integration: FAST API-enabled interfaces ensure seamless integration with existing systems.
- Containerisation: Solutions should be containerised for easy deployment and scaling across platforms.
- Debugging Support: Ensure that LCNC modules support debugging for efficient troubleshooting.
- MLOps Integration: For drift management, LCNC solutions should be amenable to MLOps and DevOps processes.
- Hardware Compatibility: Modules should be designed to run on both GPU accelerators and non-GPU systems.
Navigating the LCNC Terrain
Picture LCNC as a thrilling adventure but watch out for these tricky trails!
First up is the “Skills Slope.” Developing AI applications with LCNC still demands a strong understanding of system design and AI principles. Without it, you might miss the LCNC magic or take a wrong turn.
Now, onto the “Automation Abyss.” LCNC is a wizard at automating stuff, but don’t let it run the whole show. Over-automation can lead to missed nuances and context-specific requirements that require human judgment and expertise.
Tata Elxsi's role in LCNC and looking beyond
Tata Elxsi is at the forefront of embracing LCNC in AI development. With sample prototypes demonstrating the potential benefits of LCNC, we are integrating LCNC into our default strategy for AI development. This visionary stance firmly places Tata Elxsi at the forefront, pioneering the use of LCNC to steer the ship of digital transformation through the turbulent waters of the media and entertainment industry.
Tata Elxsi’s Intelligent Video Analytics platform (AIVA) for Content Curation and Object Action Event meta-tagging has been meticulously designed and developed in strict adherence to the LCNC principles. Consider it a versatile tool for businesses operating in the digital landscape.
Tata Elxsi LCNC platform for Cognitive Video Processing
It serves as a reliable asset for tasks such as content moderation, content creation to capture attention, the production of compelling sports highlights, the crafting of engaging short-form content, and the delivery of precise ad recommendations. Additionally, it excels at generating metadata that elevates the quality and discoverability of your content, akin to a star shining brightly on a clear night.
As these Low-Code No-Code platforms keep evolving and spreading their wings, they hold the promise of supercharging digital transformation, equipping media companies with the ultimate toolkit to not just survive but thrive in the digital age.
Tata Elxsi’s Intelligent Video Analytics platform (AIVA) for Content Curation and Object Action Event meta-tagging has been meticulously designed and developed in strict adherence to the LCNC principles. Consider it a versatile tool for businesses operating in the digital landscape.
