The Positive and Powerful Story Building Around AI

Over the last 12 months or so, questions or concerns about Artificial Intelligence (AI) have largely faded away. It isn’t that the general public has got all the answers they need about AI but more that AI is becoming a reality in more and more of our homes and places of work.

 

In our business, we’ve seen skepticism turn to excitement when we talk about the potential of AI to optimise how they operate. There’s a comfort level that is growing and we believe acceptance of AI will only accelerate over the next 12 months.

 

AI is often in action behind-the-scenes making user experiences more enjoyable and easing the workload for businesses. We’ve seen it implemented in our homes in smart home-hubs or news stories about AI helping to identify cancer or potential heart attacks. AI has a positive story and real-world applications that are putting fears to rest.

 

At the same time, research firm Gartner has confirmed that AI is creating more jobs, rather than taking them. By 2025, the amount of jobs generated by AI will have reached 2 million, according to the firm. That’s a big change from the common idea that AI kills jobs and makes people redundant.

 

Gartner shares our view that AI frees workers to focus on other tasks and enables them to go beyond routine tasks. Instead of seeing AI as a competitor, workers can see AI as a companion and a way to excel at a given task. AI becomes a critical tool in problem solving not a substitute for a human.

 

Gartner notes that in 2021, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity. We see this directly in the Bike Share Schemes that have deployed our BICO AI optimisation platform. They augment their operations with AI, which in turn drives revenue growth through increased ridership while maximising the potential of the workforce.

 

As worries about AI fade, businesses across different industries are starting to realise that AI can be extremely beneficial to them if applied correctly. Global technology research company ISG, discovered that although at present only 16% of businesses utilise AI, in 2019 that figure will rise to 51%.

 

There are a lot of different drivers for that but part of it is that the potential of AI is becoming widely understood and it is delivering real competitive advantages. Businesses that don’t explore the potential in AI potentially will miss out or see their competitors move faster and with more precision than them.

 

In the increasingly competitive micro-mobility market, we believe AI will be a clear differentiator and be a driver for user and revenue growth. AI isn’t an idea anymore, it is having a direct impact on how citizens enjoy and move across a city. The skepticism is gone and now adoption is only going to accelerate.

 

Get in touch if you’d like to learn more about how we’re using AI to optimise micro-mobility: info@stageintelligence.co.uk  

Bike Sharing and Micro-Mobility Shifted Gears in 2018

2018 was the year where Bike Sharing and Micro-Mobility showed its potential to change urban spaces and the transportation industry as a whole. Docked or dockless Bikes, e-Bikes, scooters, e-scooters and a whole range of new mobility options have become the most exciting and innovative sector in transportation.

 

If we go back 15 years, there were just four Bike Sharing Schemes. In 2018, there were more than 1,600 globally, according to Bike Sharing consultancy MetroBike. These schemes account for 18.2 million public-use bikes available around the world, nearly double the number from four years ago.

 

Growth is expected to remain in double digits for the next eight years at least. Research and Markets expects global Bike-Sharing market to grow at a Compound Annual Growth Rate (CAGR) of 12.5% between 2018 and 2026.

 

At the same time, schemes are diversifying and going beyond traditional Bike Share models. In the spring of 2018, multiple US cities started facilitating electric scooter services, which lead to 3.6% of people claiming to use the sharing-scheme. An impressive statistic, considering the market was only made available to the public less than 12 months previously.

 

Inside a Populus report – The Micro-Mobility Revolution – they highlighted that 70% of their respondents viewed electric scooters as a positive addition to urban areas – predominantly as they’re more convenient for shorter journeys, compliment public transport and extend their choices of transport as a whole.

 

In April, we saw the beginning of convergence between mobility platforms with Uber’s acquisition of Jump Bikes in April. Uber signalled it would be adding additional ways to move around your city directly from the Uber app. It has recognised the value of micro-mobility to its future and is prepared to spend capital and resource to get in the game.

 

The market is changing fast and that’s exciting but it hasn’t all been good news.

 

In China, a dockless Bike Sharing system was launched that charged cyclists just pennies for a half-an-hour ride. However, the initiative out-grew its demand, meaning there were too many bikes and not enough riders. The bikes were dumped –  in the streets, sometimes in rivers – and that lead to them being laid to rest in ‘bike cemeteries”.

 

In May 2018, the city of San Francisco temporarily banned electric scooters after residents complained of congested streets and illegal parking. The city received 1,900 complaints about the new vehicles. In August, San Francisco Municipal Transportation Agency announced Scoot and Skip as the winners of its e-scooter pilot sweepstakes, bringing e-scooters back to the city.

 

Across the Micro-Mobility industry, growth is being matched with experimentation and a healthy skepticism from local authorities. As in any rapidly evolving market, we are going to see more successes and failures in the next 12 months with efficient and consistent scheme management being a common challenge. No matter what type of scheme is being operated, end users need an optimised experience and operators need an efficient way to manage them.

 

As the market grows in complexity, Stage Intelligence uses its BICO AI optimisation platform to solve these challenges and simplify how schemes are managed. As our industry goes to a new level, we’re taking scheme management to new places with Artificial Intelligence.

 

Please get in touch if you’d like to know more about how we can help you get the most out of your Bike Sharing Scheme:  info@stageintelligence.co.uk