Ranging from artificial intelligence (AI) to cyber security, leading data and analytics company GlobalData lists the top five terms discussed in disruptive technology in November 2019, based on data from the company’s Influencer Platform.
1. Artificial Intelligence – 8,061 mentions
AI’s impact on the global economy and the next generation applications of the technology was widely discussed during November. AI is expected to add $16 trillion to the global economy by 2030, according to a video shared by Ronald van Loon, the Director at Advertisement.
On 24th November 2019, @Ronald_vanLoon tweeted: “#AI will add $16 trillion to the global economy by 2030 by @wef#ArtificialIntelligence #MachineLearning #Fintech #HealthTech #FutureofWork #DataScience #EmergingTech #Robotics #AutonomousVehicles #Drones #4IR Cc: @mikequindazzi @swisscognitive @samiranghosh @alvinfoo @she”, which collected 121 likes and 124 retweets.
The potential of AI is prompting several countries to invest in the technology. China is already one of the biggest developers of AI and is expected to invest $7bn by 2030, according to a video shared by Ronald van Loon.
2. Fintech – 4,348 mentions
The impact of digital technologies and AI on the financial services industry was a trending topic of discussion during the month. China, for example, is using facial recognition to authorise digital payments. A video shared by Harold Sinnott, a consultant and social media influencer, shows how a vending machine is using facial recognition to authorise payments.
On 15th November 2019, @HaroldSinnott tweeted: “#China leveraging #FacialRecognition to authorize #Payments in vending machines @Diply via @MikeQuindazzi#AI #Autonomous #FinTech #Automation #MachineLearning #DeepLearning #FutureofWork cc @SpirosMargaris @ipfconline1 @RichSimmondsZA @diioannid”, which saw 162 likes and 159 retweets.
The rise in the use of digital technologies is prompting traditional banking institutions to increase their technology investment budgets, according to an infographic shared by Antonio Grasso, a B2B influencer. As a result, approximately 62% of global banks are expected to be digitally mature by 2020.
3. Machine Learning – 3,148 mentions
Machine learnings’ unique applications in a number of domains such as visualisation of thoughts to autonomous vehicles were widely discussed on Twitter during the month. Scientists from bioRxiv and Kyoto University, for example, have developed an AI-based technology that can visualise human thoughts, as described in a video shared by Marcus Borba, the founder of Borba Consulting.
On 11th November 2019, @marcusborba Tweeted: “Japanese scientists have create #AI that can visualize our thoughts via @wef#ArtificialIntelligence #MachineLearning #BigData #DataScience #DeepLearning #Robotics,” which attracted 436 likes and 287 retweets.
The applications of machine learning in autonomous vehicles have led to approximately 500 companies in the automation and mobility domain to collaborate and develop AI-enabled products and services, according to an infographic shared by Antonio Grasso. Korea has developed K-City at an estimated cost of $11bn specifically for testing autonomous vehicles.
4. Internet of Things (IoT) – 2,619 mentions
The rise in IoT devices was one of the most discussed topics during the month. With the introduction of 5G, an estimated 125 billion IoT devices and sensors are expected to network together by 2030, according to a video shared by Antonio Grasso.
On 22nd November 2019, @antgrasso tweeted: “5G: by 2030, as many as 125 billion IoT sensors and devices in our homes, cars, offices and streets will be networked together, creating radically new environments in which we will live and work. Source >> https://buff.ly/2GrAX5w @EYnews via @antgrasso #5G #SmartCities #IoT,” which gained 124 likes and 95 retweets.
IoT also has the ability to transform the educational sector by automating various areas including interactive whiteboards, eBooks, 3-D printers, and attendance tracking systems, according to an infographic shared by Antonio Grasso.
5. Cyber Security – 2,229 mentions
The threats posed by cyber security breaches and how data and privacy can be protected were trending topics discussed during the month. AI’s ability to improve cyber security was highlighted in an article shared by Shira Rubinoff, a cybersecurity and blockchain adviser. AI can help in processing different types of data and detect cyber threats while automating security operations.
On 27th November 2019, @Shirastweet tweeted: “10 Predictions How #AI Will Improve #CyberSecurity In 2020https://www.forbes.com/sites/louiscolumbus/2019/11/24/10-predictions-how-ai-will-improve-cybersecurity-in-2020/ …#ArtificialIntelligence #cyber #CyberMonday #security #Automation #SmartCities #MachineLearning
CC:@mvollmer1 @ChuckDBrooks @ScottBVS @KirkDBorne @Kevin_Jackson @NeilCattermull @TamaraMcCleary”, which collected 117 likes and 137 retweets.
Antonio Grasso shared an infographic that includes various steps businesses need to take to address cyber threats including development of an effective cyber strategy, getting cyber insurance, and having a cyber incident response plan.