Together with a strong team of Hospitality Digital technology partners, we have launched a number of useful and easy-to-use web tools and services helping restaurateurs restart – we call them “digital boosters”, e.g.:
Web Listing, a service publishing a restaurant’s location and details on more than 40 web portals within minutes;
Photodirect – providing easy access to premium photos presenting a restaurant in premium style;
Order Smart – a shop system for food delivery and take-away.
Last but not least, I would like to recommend Orderbird, an iPad POS system (and Metro AG portfolio company).
Learn more about Hospitality Digital’s solutions and our partners at www.dish.co and in the video.
The year 2020 opens a new decade, and various predictions of what will happen in technology are published these days. Four years ago, I wrote about my expectations for 2016 and – interestingly – this article still gets hits today. Probably, because I underestimated some of the stunning developments we all have witnessed in recent years… So, let me do it again this year. My approach is different this time as I scrutinized a number of reports from research professionals, technology journalists and reporters as well as vendors, and I tried to find some common denominators which I made the foundation of my own thinking and assumptions. Finally, I came up with five trends which I believe will change the way industries develop, organizations change, and people change (with respect to the way they work together) in the year 2020 and beyond.
1.) Mobile Cryptocurrency
Gartner points out that e-commerce platforms and marketplaces start accepting cryptocurrency payments. The key assumption here is that a shift to mobile-accessible cryptocurrency account is going to happen. Africa will experience the highest growth rates.
2.) Quantum Technology
Future breaktrough advances in artificial intelligence (AI), healthcare and data-driven businesses in general will be based on quantum technology. “This technology may not reach mainstream consumer applications for a little while, but there will definitely be a variety of companies across a range of industries that look to integrate this technology over the next three to five years”, says Anis Uzzaman, CEO of Pegasus Tech Ventures. Agreed.
3.) Neural Interfaces
Neural interfaces enable communications pathways between the human brain and objects to be controlled. Early commercial applications of neural interfaces allowing individuals to think to computers will be launched. According to Chip Meakem, cofounder and managing partner of Tribeca Venture Partners, “Facebook bought CTRL-Labs and a team at UCSF has successfully created computer-generated speech for the disabled by processing brain and nervous system activity and converting it into instructions to a computer.”
4.) AI Emotions driving Ads
Artificial emotional intelligence, also known as emotion detection technology, will be used to increase sales. Gartner, e.g., predicts that by 2024 AI identification of emotions will influence more than 50 percent of all online advertisements. Given the growing popularity of sensors tracking biometrics this prediction might become true – it is pretty bold though, to my mind.
5.) Execution is about Team
In 2020, technology companies will concentrate on operating to a higher ethical standard. There will be focus on “honest execution in large part by treasuring (…) people who create value for each other, the company, its customers and the society at large”, states Will Glaser, founder and CEO of checkout technology startup Grabango.
So, let’s see what really happens. Ready, steady, go!
Glad to see that the products we are delivering at Hospitality Digital to help restaurateurs work more efficiently are evolving, step by step. They are becoming key tools to empower independent restaurant owners and they help share knowledge across the industry. The following is certainly worth a read: https://www.mpulse.de/en/movinggoods/digital-tools-menukit
Thinking about the progress of digital innovations and the opportunities of growing our business in 2020, I am quite confident that this year will become a good one. In the coming days, I will provide my personal technology predictions and what they might mean for various business sectors, as I last did at the outset of 2016. So, in the meantime, let’s start walking into 2020 with confidence – with Tiger Woods’ confidence of making a perfect putting stroke … Enjoy, even if it’s fake ;-).
Dear all, I hope you have some time off these days and reflect on the past year and your way forward. I enjoyed a Christmas golf round today and I am wishing you and your families a wonderful Christmas time and a successful and healthy New Year.
What does customer satisfaction in the digital age actually mean? At Sprint Reply, in close cooperation with our partner consultancy mobileVision, we have conducted an in-depth research on today’s customer satisfaction challenges and opportunities. The paper provides a number of interesting insights. Download it here for free:
Steve Denning, a senior contributor to Forbes magazine, published an insightful article titled “Understanding Fake Agile” which definitely is worth a read. The author defines three laws of Agile: the law of the customer, the law of the small team, and the law of the network. This approach can certainly be argued, but it makes sense as Denning intends to cover both operational agility (improving the business) and strategic agility (creating new products and services) in his definition. And he puts his standpoint clearly: “Agile and bureaucracy are mutually incompatible: in the medium term, only one can survive.” [poet-badge]
You either like Hajo Schumachers sarcastic style of writing, or you don’t. I consider his peace on the growing number of digital conventions, scrutinising attendants, their habits, as well as the overall sense or nonsense of those meetings, a good one. Unfortunately, it is written in German, but Google provides a pretty decent translation into English language. Enjoy: Schumacher on Digital Conventions. [poet-badge]
I tumbled upon the following visual from Bill Schmarzo – he nailed it! This is a great plan to build strong data science teams in organisations (small or huge):
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