“Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial.“ - Max Tegmark, President of the Future of Life Institute
For at least two years, Artificial Intelligence (AI) and Machine Learning (ML) have been hot topics of discussion at IBC.
Each year's theory becomes the following year's practicality, as we move forward into finding new use cases for AI/ML to speed up processes, improve accuracy, and create new levels of customer experience, often while reducing costs at the same time.
How Are Broadcasters Using AI?
Quality checking for both video and audio. With event stream processing technology, the previously labor-intensive and error-prone process of checking clips for faults can be sped up with artificial intelligence.
More graceful ad breaks. Have you ever been watching a program and seen it go to an ad spot abruptly, in mid-scene? Artificial intelligence can help locate the best spots for ad placement.
Closed captioning. With automatic speech recognition (ASR), closed captioning and subtitles can be generated at high speeds and lower costs.
Generate sports highlights. AI symbolic learning can identify moments in a sports broadcast that look like highlights, and automatically create those clips, which speeds up the process of creating reels for presentation and analysis.
Create individualized viewing experiences. Intel and Ferrari have partnered to create PERSONALIZED highlights and viewing experiences of auto races, including drone coverage of individual cars. Imagine helping drivers analyze and improve their performance, and showing fans exactly the car they are most interested in throughout the length of an event, real-time! Wait...you no longer have to imagine it.
Metadata creation and search. Symbolic AI uses speech and image recognition to create metadata for content. While extremely important for managing large content libraries, it was previously an extremely laborious and boring process. In addition, Machine Learning can help classify and group content by type, including using facial recognition to tag celebrities. These technologies can also analyze trends and classify content by which viewing groups are most interested in it.
Super-slo-mo from regular-speed feeds. Just as images can be upsampled, AI can now generate intermediate frames from real-speed feeds to create a super-slo-mo effect - on the fly!
But only the big players can afford all that gear for AI...right?
Wrong. Now that so many companies have adopted a cloud services model, they don't need to bar the cost of the infrastructure, hardware, and software to carry the weight of AI in their own shop - they can outsource it!
If you’re only looking at automation, you’re missing the highest potential AI has to offer, and offer today and in the near future. AI isn’t poised to replace the expert knowledge, experience, and judgment of humans just yet. It’s great at processing large amounts of data, and helping leverage outcomes based on that data. Supercharge your analysts' processes with AI!
How do I get started incorporating AI/ML into my workflow?
You don't have to go it alone.
As a solutions provider experienced working with artificial intelligence and machine learning tools, delaPlex understands the serious challenges facing the broadcast industry today. We have experience incorporating cloud platforms like Microsoft's Azure AI, Amazon's AWS AI, and Google's Cloud Vision API to create AI/ML solutions for our clients.
What sets us apart from the rest is a combined CENTURY of experience in the broadcast industry, brought forward into today's agile software development environment. delaPlex is the brainchild of industry technology leaders, which provided innovative hardware and software solutions to the broadcast industry starting way back in 1987.
Let us bring both the depth, and the breadth, of our industry knowledge to serve your vision.