Top 10 Mistakes made by new agile Teams in IT

The following is a collection of the 10 most common mistakes that a new agile team can make in IT.

  1. Fear
  2. Poor communication
  3. Poor team structure
  4. Poor estimation & Picking incomplete backlog items
  5. Poor planning
  6. Poor testing
  7. Ignoring customer/user feedback
  8. Lack of team empowerment
  9. Lack of retrospective and demo meetings
  10. No plan to address employee resistance

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2018 Q4 Internet Report: Almost 4.2 billion humans are online

Key facts:

  • There are almost 4,2 billion internet users around the world in October 2018, up seven percent since this time last year.
  • Around 3,4 billion people around the world used social media in September 2018, up 10 percent versus September 2017.
  • More than 5,1 billion people now use a mobile phone, with most using a smartphone.
  • Mobile still accounts for more than half of all global web traffic.
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Seeing Marketing through Communications (and vice versa)

A funny thing happened on the way to digital. Marketing started looking like Communications and Communications started acting like Marketing. Now for the purists, I’m not juxtaposing the need to uphold corporate efficacy and policy nor am I diminishing the important role of customer experience and sales. Rather, I’m speaking from the perch of rethinking how opinion is formed, where advocacy can be found, how insights shape thinking, and the importance of relevance in an organization’s strategic direction.

The wall that once separated both functions no longer exists. It simply can’t in a digital world where customers and employees are in control. So, what does this new paradigm mean for professionals in each area?
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Collaborative Intelligence: Humans and AI are Joining Forces

Artificial intelligence is becoming good at many “human” jobs – diagnosing disease, translating languages, providing customer service – and it’s improving fast. This is raising reasonable fears that AI will ultimately replace human workers throughout the economy. But that’s not the inevitable, or even most likely, outcome. Never before have digital tools been so responsive to us, nor we to our tools. While AI will radically alter how work gets done and who does it, the technology’s larger impact will be in complementing and augmenting human capabilities, not replacing them.
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Internet of Things (IoT) in healthcare: benefits, use cases and evolutions

The usage of the IoT in healthcare has sharply increased across various specific Internet of Things use cases. At the same time we see how other healthcare IoT use cases are picking up speed and the connected healthcare reality is accelerating, even if hurdles remain.

Thus far, most IoT initiatives in healthcare revolved around the improvement of care as such with remote monitoring and telemonitoring as main applications. A second area where many initiatives exist is tracking, monitoring and maintenance of assets, using IoT and RFID. This is done on the level of medical devices and healthcare assets, the people level and the non-medical asset level (e.g. hospital building assets).

However, these deployments and use cases are just the beginning and, at the same time, are far from omnipresent.

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