AI And The Digital Transformation
Artificial intelligence is causing a sea change in how media is searched, produced, distributed and consumed.
At the root of the recent attention given to artificial intelligence is what is known, at a global level, as the “digital transformation.” Although predominantly utilized in the context of business, digital transformation (DX) has broad reaching impacts to many areas not the least of which are the television media and entertainment industries. DX is reaching the public and business sectors, numerous organizational activities, business process management (BPM), social media, and institutions ranging from government through education.
This industry-wide digital transformation is fueled, in part, by the increased focus and capabilities of artificial intelligence (AI) and by the applications of machine learning (ML). DX, AI and ML are augmented services either in the cloud or occasionally on premises. AI touches applications available from resources including the Apple iPhone, Google AI, IBM Watson, and a growing set of others.
Multiple new services applicable to broadcast, news and sports are using AI as part of their content creation, recognition, assembly, and distribution engines. In the video industry, according to companies such as TVU Networks and Veritone, we are now experiencing a sea change in the way video content is searched, produced, distributed, and consumed. Cognitive computing is transforming the way we use and generate video. Video customization, a frequent output of AI, is enabling individuals to see continued augmentation in how video is consumed and where or how it is being distributed.
Functionally, workflows utilizing AI begin at the point files are ingested using smart content management features that extract metadata using prediction engines. The AI-based engines determine flow, subject matter, relevance, plus other attributes which then generate relevant search components with high accuracy. AI is at the top of the compute-centric food chain (Fig. 1).
Other applicable AI-based services include advertising verification and sponsorship efficiency to track and verify brand name mentions, logos and characterization. For news purposes, AI techniques will categorize stories, interviews, breaking news and features – at both the local and the national level. For sports, player recognition and accumulated play or scoring data is used to self-generate melds of the game or statistics with better relevance than humans can – and do it in real time.
BEYOND SIMPLE RECOGNITION
AI is not just about facial recognition or venue classification or text/speech interpretation. AI utilizes machine learning, but it is not data mining. For media applications, AI is a key supporting agent in search-engines which engage sophisticated machine language-based algorithms to, for example, catalog images and sound for applications of metadata extraction or collection. Reducing the amount of manual human interaction needed to sort or tag images and sound is both supplementing and adding new value to archives and catalog platforms – and AI now allows those applications to go much further.
Indexing – previously a manual post ingest task – can now begin the instant that the video ingest and production processes start. Based on derived metadata, indexing allows real-time search to be built immediately using AI. And that information can be instantly shared (permissions pending) with others including users and other AI-based databases and libraries.
Digital transformation aides in creating and optimizing new capabilities by leveraging the possibilities and opportunities of new and emerging technologies. However, the DX journey needs a staged approach defined with a clear roadmap. Stakeholders need to envision a connected world that is beyond silos, with a strategy that tears down internal vs. external constraints and appraises end goals that will continue to move as DX becomes the “de facto end-point” position going forward.