Smart systems that support increasingly incisive decision making and data-driven insight are the future of business. Discover how cognitive systems supported by AI unlock the potential of Big Data.
Modern businesses — of all kinds — rely upon data, which is why the idea of “data-driven processes” has become so ubiquitous in today’s landscape. One of the key tenets of digital transformation is…
Speed, accuracy, capability, scope — these are just a few of the things businesses seek from automated processes and protocols. With automation in place, businesses find that their operations become faster, human error is eliminated from key tasks, and they become free to devote time, personnel and resources to more worthy tasks.
The challenge: dispatching is at the center of this company, as it acts as a sort of command center. It is the dispatch center that plans the routes and the loading of the trucks.
How can we enable this place on which everything depends to function most effectively at all hours of the day and night?
What impact does automation have on our lives and the way we work?
Pessimists prophesize the end of humanity, the destruction of culture, the advent of meaningless commercialism, the takeover of machines… in short, the end of time.
AI advocates promise us a brighter tomorrow, more rewarding days and more meaningful activities. A happy and peaceful world thanks to technology…
“The customer is king!” Ever since I was little, I have been hearing this statement. While it is becoming increasingly contested in the customer service world, it has still retained its popularity, especially considering how fleeting customer loyalty is nowadays.
With the rise of chatbots, does this statement still apply but for the users?
Generally, when companies undertake a digital transformation, they are aiming to improve the efficiency of their business processes and also the accuracy and visibility of their critical business data. Therefore, businesses often make use of two systems to ensure that their business processes run efficiently— a Client Relationship Management (CRM) system and an Enterprise Resource Planning (ERP) system.