Dr Fazal Ali
Creative informatics sits at the intersection of the creative industries, digital, data, creative AI, commerce, the arts, culture, and heritage. In the Algorithmic Age, data-driven innovation can be as valuable as the creative product itself. Organisations and creatives in certain sub-sectors of the creative industries are mastering data-led approaches and innovating with data.
Digital creative industries are a new hub of innovation, officially recognised as a priority Industrial Strategy Sector pivotal to development, job creation, and the strengthening of the global position of screen economies. Despite their scale and impact, Standard Industrial Classification (SIC) codes in some jurisdictions struggle to capture this new sector in its entirety.
Private data and technology companies have addressed this planning gap by building Real-Time Industry Classifications that serve as Data-Driven Innovation Observatories. They offer bureaucracies a lucid, up-to-date view of Data Artists in the economy, where they are working, their projects, and independent performance metrics.
Generative designers, data artists, creative informatics specialists, and creative technologists are the jobs of the future. Some creatives have even discovered that the data generated by their creativity is more valuable than the original business activity and have pivoted to realise the “new” value in their data.
In every moment, we produce a continuous string of data points that flow unhindered into data refineries, data lakes and data cooperatives, all sunk deep beneath a plethora of Apps. TikTok and Spotify are superb at remaining hidden in plain sight.
Clicks on Spotify are not colourless. Clicks generate invaluable user data in real time. Spotify’s smart recommendation engine, seamless multi-device control, and rich social and mixing features allow users to discover and personalise streamed content using its “Discover Weekly and Release Radar”.
Custom playlists can be updated weekly to match the user’s personal taste and discover new tracks. The AI Playlist and AI DJ allow users to generate custom playlists from text prompts. The Daylist is a dynamic playlist that matches your niche music tastes and microgenres to specific times of day, complete with quirky, AI-generated titles.
Playback and Audio Quality allow you to seamlessly switch playback between devices without losing your place. The Lossless Audio feature enables High-resolution FLAC streaming up to 24-bit/44.1 kHz.
Smart Mix and Transitions offer custom crossfades, gapless playback, and a mixing tool that fades tracks into one another like a pro DJ. Blend combines the musical tastes of up to 10 friends into a single shared, updating playlist.
Jam is a real-time collaborative listening session for groups, whether you are in the same room or miles apart. In-App Messaging allows listeners to share and react to songs, podcasts, and audiobooks directly inside the App.
This is the infosphere that our children now inhabit. They are in a different world. Perhaps this is why we find it hard to understand them.
Being ordinary is the worst outcome in the Intelligent Age. The rise of AI needs a proportionate increase in human creativity and innovation. As nations build hyperscale AI campuses and artificial life flourishes, we will crave “human-ness” even more. Brands will begin to embody lovable imperfections and blurred cultural identities.
Data-driven innovation will shift from crafting expressions to architecting brand humanity. This means mastering AI, humanising brands, and driving innovation through digital technologies and data. Success will be a blend of cultural victories and creative informatics.
Creative AI allows us to be more innovative than just generating shorts and reels. Big innovation can become data-driven. As AI perfects, humans must disrupt. Culture has consistently served as the arena for imagination, and now, AI is firmly established within our cultural métissage. All that remains is to explore AI culture even further.
Creative Screen Economies differentiate between data and digitalisation. Digital includes the digitisation of creative practice, digital systems, and digital skills. Data includes scraping, refining, and combining discrete data to create new data. Screen economies are not built for an endless stream of sameness. Resemblance exhausts consumer interest. Algorithms optimise for immediate needs, not for creating eternal brand adoration.
Attachment is not desirable. Relationships are fluid. Liquid moderns crave impermanent bonds that are slack enough to prevent suffocation, but tight enough to provide security. The habitual sources of solace are less steadfast.
Our deepest wish is to stop our connections with creative brands from curdling and clotting. But if we tilt the balance too far to freedom, we find ourselves desperate to belong. We want a contradiction; to be free and to be shielded at once. The nouveau embrace is tight but tentative.
The curricula vitarum of liquid moderns are beautifully unstable, replete with short engagements and amazing experiences. This is at the heart of data-driven innovation in the creative industries using digital and data.
Dr Fazal Ali completed his Master's in Philosophy at the University of the West Indies. He was a Commonwealth Scholar who attended the University of Cambridge, Hughes Hall; the Provost of the University of Trinidad and Tobago; the acting President of UTT; and the Chairman of the Teaching Service Commission. He is the President of NIHERST and an external services consultant with the IDB.
