The next time you order a takeaway, it might be flown directly to your door. Today, Deliveroo has launched its first drone delivery service for customers in Ireland. Drones travelling at speeds of up to 50 miles per hour (80 kph) will carry food from restaurants to customers in as little as three minutes. Upon arrival, the drone will hover above the customer's home and gently lower the food to the ground on a tether before returning to the delivery hub. Launching in Blanchardstown, on the outskirts of Dublin, the trial will cover a 1.8-mile (3km) radius, reaching up to 150,000 people.

We're building the definitive online food company, transforming the way the world eats by making hyper-local food more convenient and accessible. We're at the forefront of a industry, powered by our market-leading technology and unrivalled network to bring incredible convenience and selection to our customers. Working at Deliveroo is the perfect environment to build a definitive career, motivated by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities. Working as part of our analytics engineering team and reporting to one of our Analytics Engineering Managers, your role will be to provide clean, tested, well-documented and well-modelled data sets, that will enable and empower data scientists and business users alike, via tools like Snowflake and/or Looker.

At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Our team members use technical skills from the whole spectrum of data science: building analytical tools; informing decision making at all levels of the business via bespoke and automated analysis; running experiments; performing causal analysis; informing planning and prioritisation with robust impact estimates; building production machine learning and optimisation models; and upskilling the entire company in data literacy and data driven decision making. Data scientists at Deliveroo report into our data science management team, and we have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things.

At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Our team members use technical skills from the whole spectrum of data science: building analytical tools; informing decision making at all levels of the business via bespoke and automated analysis; running experiments; performing causal analysis; informing planning and prioritisation with robust impact estimates; building production machine learning and optimisation models; and upskilling the entire company in data literacy and data driven decision making. Data scientists at Deliveroo report into our data science management team, and we have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things.

ArtificiaI intelligence (AI) is on the rise across business in general. But the foodservice industry may be another matter, as it isn't usually considered to be the fastest sector when it comes to adopting new technology. Whilst the industry's disruption by the gig economy did indicate new pathways, the recent stock flotation of food-delivery startup Deliveroo has found itself beset by the same ESG issues over workers' rights that have long dogged the likes of Uber and Lyft. In such cases, AI may be the game-changer that other sectors see it as; a GlobalData report from 2020 predicts the global AI platform market will be worth $52bn within three years. While it may not solve the sort of labour disputes faced by Deliveroo, AI-powered automation is what foodservice should be taking note of, and in some cases already is.

Shukran Best Kebab – the finest Turkish restaurant in the Seven Sisters area of north London, according to some people (although it is surrounded by fierce rivals to the throne) – joined Deliveroo two years ago, and back then it seemed like a no-brainer. "Life as a small, independent restaurant is hard and the profit margins are slim," says Hüseyin Kurt, Shukran's owner. "We wanted more customers and money coming in and Deliveroo seemed to offer that. I didn't think there was a downside." Within a few days of signing a contract with the company, a shiny new tablet computer arrived on which orders placed via Deliveroo appeared out of the ether with a satisfying ping. The sense that something was wrong dawned gradually. Kurt, a gregarious, bearded man in his early 40s, who left his central Anatolian home town in 1995 and used his love of food to build a new life in the UK, ran the numbers: with Deliveroo's commission amounting to 35% plus VAT on every order, he was forced to increase his prices to avoid losing money on each sale.

Deliveroo and EduMe today announced an exclusive new global partnership that will drive the success of the food delivery giant with effective onboarding, training and continuous learning by using EduMe's platform. The initiative is being rolled out to Deliveroo's entire global network of riders. It will take advantage of EduMe's experience as the training provider of choice by other leading technology companies. This will help facilitate effective onboarding at scale for new riders. Furthermore, an integration with hiring platform Fountain will be leveraged to present a seamless engagement and onboarding experience for new riders.

SINGAPORE, Nov 23, 2019 - (ACN Newswire) - Award-winning HR tech platform Swingvy officially debuted LIFT 2019, it's first ever inaugural conference that drew over 150 participants from AVIVA, Citibank, Wantedly, Validus, SCCI, Exxon Mobil, Terrapin, and Financial Alliance. Through LIFT, Swingvy sees the opportunity to enable conversations and provide a platform for business owners, thought leaders, and aspiring entrepreneurs to come together and discuss what the future of work might look like in the face of increasing technological advancements. According to a survey conducted by Swingvy, 43% of employees frequently think about quitting, and 48% are currently unhappy with their job. "We co-founded Swingvy because the'Human Resources' industry sometimes does not focus on the'human' aspect of things," said Jin Choeh, CEO and Co-Founder of Swingvy. "Swingvy is first and foremost, a people empowerment platform besides our core business of an all-in-one HR cloud platform, and through creating LIFT, we want to empower communities and inspire positive change across all industries! Whether you are a business owner, thought leader, or aspiring entrepreneur, we believe everyone can learn from each other."

Amazon's controversial Rekognition computer vision technology is now being used to rid food sites of surprise dick pics. The London-based food delivery service Deliveroo has a definite content moderation challenge. It seems that when there's a problem with a food order, Deliveroo customers often send in a photo of the food with their complaint. Or they arrange the food into the shapes of private parts. Deliveroo's employees, it turns out, don't necessarily want to see stuff like that. So the company uses Rekognition to recognize unsavory photos and blur or delete them before they reach human eyes.

The rapid rise of meal delivery services is happening in plain sight, as companies like Deliveroo and Uber Eats send riders and drivers zipping around town with takeout of every variety. But as so often happens with new platforms, a secondary and less visible revolution is rippling across the restaurant industry thanks to the rise of virtual kitchens. London-based Taster is an example of how the intersection of meal delivery services, artificial intelligence, and data is creating opportunities that threaten the restaurant industry with even greater disruption. While meal delivery services initially seemed like a boom for local restaurants, it is virtual kitchens -- with their ability to optimize and automate -- that may ultimately win the food wars. Taster was founded two years ago by Anton Soulier, an early employee of Deliveroo who wanted to take this food transformation further. "I thought there was a big opportunity to build a food company on top of these platforms," he said.