Author: Ghada

2023 CX strategy checklist: Seven priorities for your CX plan

Many of us are happy to see the back of 2022. But are you ready to deal with the scars that the aftermath of the pandemic, the disrupted logistic lines, the ongoing war, and the cost of living crisis have left on customers? Are you ready to face the challenges of 2023 and the transition to a more data and AI-led way of doing business? There is a difference between working IN the business and ON the business. So is [...]
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Innovation Never Sleeps

As an innovation expert, I once had a conversation with a Human Resources professional about the typical profile considered for innovation roles in his organization. Amazon has established a unique approach to identifying top innovation talent through its 'bar raiser', which removes bias from the hiring process and screens candidates with strong hard skills against the psychological traits of a 'builder'. This is because: ’Amazonians are builders’. However, what caught my attention was when the HR professional stated that only [...]
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The Biggest Miss on Business Radars

Hands up, if you think relationships are essential in business? A forest of hands go up in the air every time this question is asked. But exactly how important are relationships when you compare them to product quality, price, ease of use, customer service, digital self-service capabilities, and so on? I conducted a several-month-long research project with data collected from some 18,537 customers of 24 large organizations from 9 different industry sectors. The data was analyzed using structural equation modeling [...]
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4 Mindset Shifts to Make You a Better Leader

Being a leader is hard. More than a decade ago, at a very young age, I became a manager. I was used to getting great results as an individual contributor, by myself, through my own good work. So when I became a manager it was a major struggle for me, a Type A employee, to have to depend on others for my results. Why can’t I get them to do the work and deliver results? Thanks to mentors, training, books, [...]
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Can banks innovate like Amazon?

Many grand old companies are facing growing uncertainty because of changing demand and new technology. Some felt that this can be solved by becoming more efficient in the way they deliver and reducing the risk of not meeting delivery targets in time and quality. That explains why agile has turned into a popular way of running projects, and many incumbents are trying to transfer this approach from IT projects to ongoing business activities (e.g. product development, process re-design). A smaller [...]
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AI; emotions as the connectors between us and the AI engines (1/3)

“It is not necessary to change. Survival is not mandatory.” Deming Since its beginnings in the 1950s, artificial intelligence has been a favourite matter of scientific discipline literature. Yet today, AI has entered the region of fact: several studies underline that intelligent machines will change the way we work, we move and even how wars are fought. Innovators and scientists around the world believe that now is the time to ensure that AI can override humanity. And even if sufficient [...]
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AI; emotions as the connectors between us and the AI engines (2/3)

AI tries to be something completely different from what we have experienced until today. Larry Page, the CEO of Alphabet, the mother company of Google, said some weeks ago that “Artificial intelligence will be the ultimate version of Google. The ultimate search engine that will understand everything on the web. It will understand exactly what you want, and it will give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and [...]
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AI; emotions as the connectors between us and the AI engines (3/3)

One of the most important eras where personalisation is about to be redefined is fashion. There’s been a significant move and effort from companies like Amazon to understand how fashion is developed in the world,” Kavita Bala, a professor at Cornell said. Yet Amazon appears to be pushing that algorithmic approach even further. For example, Amazon analysts situated in Israel created machine learning that, by breaking down only a couple of labels connected to pictures, can find whether a specific [...]
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