Dr. Lu-Lam Pham is truely one of the thought leaders and advisors of the digital business era. In his video he talks about how the cloud has enabled many companies such as Netflix, Spotify, Slack or others to entirely new business models, based on data in the cloud.
If you think this is relevant for the success of your business, register now for Riversand Confluence 2019 in Amsterdam on October 16 & 17. On this event our team, partners and customers will discuss how data, cloud and AI will transform the way companies work in their digital strategy.
Lu-Lam will speak in good company with speakers from marquee brands like Beiersdorf, Saint-Gobain, Pewag, Orkla, Maxeda (Europe’s CIO of the year) and many more to come.
The last add the list of thought leaders and hot of the press is “The Data Whisperer”, Scott Taylor. More details I will add to this blog soon.
Ich habe einen informativen Beitrag zum Thema **künstliche Intelligenz** gefunden:
Artificial Intelligence (AI) is augmenting our workplaces and transforming the employee experience. In this article, we look at what this means in practice and explore practical examples, benefits, and drawbacks.
Zum ganzen Beitrag im forbes Blog geht’s [hier](https://www.forbes.com/sites/bernardmarr/2019/05/29/artificial-intelligence-in-the-workplace-how-ai-is-transforming-your-employee-experience/).
Vor gut zehn Jahren schrieb ich mein erster Whitepaper wie Produktinformationen Retouren senken können. Heute ist das Thema relevanten den je, wie der aktuelle Artikel bei Etailment ziegt. Ich habe mir erlaubt ein paar Zitate davon hier zusammenszufassen.
1. Produkte detaillierter beschreiben
Die Angaben von Herstellern müssen für Kunden nicht verständlich sein: Modefarben sollten in Tagesschau-Deutsch übersetzt, Größenangaben detaillierter eingegrenzt werden. Aus Taupe wird Hellgrau, aus Nude Beige oder Hautfarben, der Hinweis „fällt größer aus“ oder „ist eher eng“ wirkt bei Bekleidung Wunder. Technik wird durch die Erklärung von Funktionen sowie von auftretenden Macken für Kunden einschätzbarer.
2. Bilder sagen mehr als Worte
Kunden wünschen sich mehr Bilder, Detailfotos oder Rundumansichten, um Waren beurteilen zu können. Verlinkungen zu Erklär-Videos ergänzen die Darstellung von Geräten, Ersatzteilen oder Funktionen und Material. Neue Technologien wie Augmented Reality vermitteln außerdem einen lebendigen Eindruck, machen beispielsweise Größenverhältnisse besser schätzbar oder unterstützen bei der Einrichtung oder beim Handling mit Ersatzteilen.
Everybody in our industry talks about disruption. If you are tired of it, maybe looking at it from the eyes of a football fan may help. For me this Champions League season Ajax Amsterdam is THE force of disruption. What can enterprises of any size, learn from it?
In my view these are the things Ajax is doing great this season and it is relevant for all of us.
- They have a game plan & a concept: Having a strategy and execution plan seems to be obvious for you business people and readers. I think some companies and people still act as they do not have a plan. And if you think you have on, you may consider challenging if the plan is the right one. In times where all talk about data driven disruption and the ambition to act like AirBnB, Amazon or Uber, companies need to have a concept (some call in governance) and a platform how to deal with their data as strategic asset, being ready for growth and unexpected change. For example what happens if a new merger happens and you have to merge two product portfolios and two customer groups together?
- They have speed: Yes young players, usually have the power to run faster. Not a surprise right. But Ajax, has not only young players on the pitch they know, when they have to bring speed, and when tactics into the play. Speed in business today is a do or die question. For example if you want to realize real-time recommendations or IoT based tracking and customer service. In the business world, new big data technologies allow this speed.
- They can adopt fast: A famous Germany head couch (Sepp Herberger) once said “the ball is round so that the game can change direction”. Hope my translation make sense. Also our brains have to be flexible to change direction, much more often than ever expected. Adopting to a new situation like being under pressure after your opponent has score a goal, requires to deal with the new situation. In a the data driven world this means you should have the flexibility to create and adopt new things, even it is not on the roadmap of your software vendor.
- Thy have automatisms: The talks about use of articial intelligence in business is more than omnipresent. For an athlete, in my view this is similar to train your body and brain at once. Many do this with Life Kinetic to be able to react fast and automated in complex situation, as I have seen it from Joachim Klopp (the current team coach of Liverpool FC) or Felix Neureuther (a German Ski racer, who just ended his career).
What is your view? Let me know. I will be meeting like minded people shortly in Olso on May 2, in London on May 14-16 and Berlin on May 16. Would be happy to see you there.
Attending the Omnichannel Customer Experience Summit in Amsterdam was fantastic. I thought I share my lessons with you digital disrupters out there. Simple and short, easy to consume.
1. “Generation mute” likes chat commerce
By 2020, 70% of customer interaction will involve emerging technology to like messaging, chat bots and more. Live chat is dead said Christoph from Sparkcentral. The new gen is not willing to talk on phone calls, they just prefer messaging and voice messages.
2. Extrem complexity in the customer journey
We are #GenCX! This statement stands for generation customer experience, regardless of the age, said another speaker. Meaning customer experience matters the most.
3. Social media attention is ultra fast
4. Change management needs CxO support
… pointed out by Ioana from Mont Blanc. True this is not new, but always worth saying it again and again.
5. Connect the dots of data
Enabling omnichannel customer experience requires to connect the dots said chairman Fabian, which was music to my ears.
6. Your platform has to be able to grow with your need
A picture paints a thousand words. This can be my conclusion of the day. Find out more about how a platform can grow to any data need and download the white paper.
This week I enjoyed the honor of being chairman of the Unleash Innovation in BI, Data & Analytics Global Executive Summit in Amsterdam. The biggest value for me was learning from segment leaders across multiple industries how they create a data driven digital business.
Please check if my lessons learned for a data-first-business are helpful for you:
1. Measurable business outcomes are the most important factor to convince any CxO or employee about the value of data or AI.
Results have to be visible faster in today’s enterprises. For example at Scotch & Soda, a new data, BI or AI project needs to show impact within 6 months.
2. Technology is no longer the issue (if you have the right one) said CDO Martin Hairer from Med-El.
3. People are the next frontier for AI says Loren Roosendaal from Nyenrode Business University. Many employees are doing the wrong job and tasks as in context of learning and knowledge explosion but lack of data and smart analytics.
4. Passion is the new currency. I really like this statement as it stands for the importance of customer experience, but also as guidance to hire hungry people.
5. At DSW Health Insurance 250 of 600 employees are IT and data specialists, because they have a #Digitalfirst approach. How is that in your company?
6. You need to understand what data is relevant
Thibault LEMARIE from Scotch & Soda showed by let all attendees put post-it stickers on him with their criteria for a successful event. He proofed that it is hard to capture the relevant data for better decisions making
7. AI & ML: Everybody wants to leverage it, but struggles to find a first small scope to show success. On my table we discussed examples in context of supplier master data. (Let me know if you want go deeper). All agreed that you need to get the data foundation right.
Henrik Pahlsson is a friend and Business Partner who lives in Gothenburg. He and his team at Avensia work with large food distributors, food manufacturers and luxury retailers to help them digitize their business. All are joint customers of my company Riversand and them in Norway and Sweden.
I recorded a chat with him as the companies in the Nordics are usually very fast and agile adopting new innovations.