Tech Futures survey and report: Part two
9th March 2021
9 minutes read
Part two sees Josephine Watson diving deeper into AI/ML, the role of regulatory intervention in driving uptake and the impact of the pandemic.
As two of the greatest areas of interest in disruptive technology from 2020, we added more emphasis to questions surrounding AI/ML and blockchain in our 2021 survey.
Much like last year’s results, respondents felt that personalisation will have the most immediate and significant impact (32.94% in 2021 versus 35.85% in 2020), followed by data/analytics (22.35% in 2021 versus 33.95% in 2020).
While following a similar trend, worth noting is the wider margin between the two leading examples, seemingly spurred by an increase in the applicability for other use cases.
ICE 365 in partnership with iGB & iGB Affiliate
9th March 2021
3 minutes read
We’re thrilled to let you know that our brand-new content hub for the gaming industry – the ICE 365 content series – launches today (9 March) as part of our exciting upcoming project, ICE 365.
In-depth analysis, insight and exclusive content
The series is a collection of multimedia content broken into themes that combine elements of iGB’s analysis, data and webinars with Clarion Gaming’s industry connections, events and virtual Ampersand speakeasies.
Running throughout 2021, each series will take a key vertical, topic or subset of the global gaming sector and provide insights across a variety of formats, including:
Tech Futures survey and report: Part one
9th March 2021
10 minutes read
This year’s edition identified some discernible shifts in industry sentiments towards emerging and disruptive tech. In Part one, Josephine Watson explores which innovations are perceived as being most immediately transformative.
Following the success of our 2020 Futures Report, we returned to the industry 12 months on to regauge its sentiments towards five key disruptive technologies: blockchain, internet of things (IoT), virtual/augmented reality (VR/AR), artificial intelligence/machine learning (AI/ML) and edge computing.
Due to the broad scope of opportunity in AI/ML, this year we broke the technology into three business-critical use cases: strategic automation, personalisation and responsible gambling.