ti&m Blog

01.Juni 2016
14 Laptops für newTree Burkina Faso

Seit 15 Jahren setzt sich newTree für die Regeneration der Natur als Basis für eine nachhaltige Armutsbekämpfung in der Sahelzone Afrikas ein. Bei ihrem letzten Projektbesuch im Dezember 2015, durfte newTree-Projektleiterin Franziska Kaguembèga-Müller die Mitarbeitenden der Partnerorganisation tiipaalga mit einem ganz besonderen Präsent überraschen: 14 neuwertige Fujitsu Laptops, gesponsert von der ti&m, für die Techniker, Animatricen und Administrations-Mitarbeitenden.


01.Juni 2016
Impressionen von der ersten App Builders Konferenz der Schweiz

Die Schweiz hat mit der App Builders Konferenz einmal mehr bewiesen, dass sie ein iOS-Land ist. In diesem Artikel geht es um die Impressionen der „App Builders Switzerland 2016“, der ersten Schweizer Konferenz von Entwicklern für Entwickler in Europa.


23.Mai 2016
Data isn’t valuable. Information is!

Banks spend a vast amount of time researching and collecting data about clients, but often lack the bigger picture of connecting these separate data piles from various systems. Data alone is worthless, but connected and turned into information using an identity database, new possibilities such as reducing the cost per client, increasing quality of service and anticipating a client's actions are possible.


12.Mai 2016
More with LeSS: An Interview with Cesario Ramos

Have you heard of the Large Scale Scrum (LeSS) framework, but aren't entirely sure what it is? Are you a Scrum Master who wants to take his knowledge of one-team Scrum to the next level and learn about scaling agile development to multiple teams? Cesario Ramos, Lean & Agile coach as well as certified LeSS trainer, shares his knowledge in an interview.


09.Mai 2016
I do not love you

For most readers, the title above probably has a strong negative connotation. What if instead of "you", the name of a company was used? The statement still has the same negative connotation, but an opinion of a customer regarding a company might be even more sensitive – at least from a sales point of view. Such public reviews constitute important sources of information for both prospective clients and companies alike. How can one identify, ideally in an automated way, such polarised opinions in the vastness of today’s cyberspace?