What are the latest technological innovations you believe are making an impact on the business of freight logistics? What changes are they generating? Artificial intelligence, machine learning, big data – and specifically the ability to capture and make sense of, and take action on, massive amounts of data – are radically transforming freight logistics and the entire supply chain ecosystem. What was built as a human-centric endeavor, and the many manual processes, interactions, touch points, hand-offs, and even the physical assets inherent in it, has the potential to become entirely orchestrated and managed by software systems and machines with minimal human intervention.
July 19, 2017 Written by: Chris O'Connor This is the year that we are seeing business networks based on blockchain put into production around the world. Early adopters are using this technology to reimagine their industries, developing new ways of interaction that reduce friction and foster innovation. There are a multitude of companies working with IBM to implement blockchain solutions for various different use cases. I'd like to share a few that I hope may help you envision how you can use blockchain to advance your business. IBM and AOS, a Colombian company specializing in providing business solutions, are collaborating to create a solution to enhance efficiency in the logistics and transport industry throughout the country, built on IBM Blockchain and Watson IoT.
Definitely, but the changes might not be obvious for a while. Currently, less than 5% of occupations are completely automated, according to McKinsey. The research firm reported that the jobs most susceptible to automation "are physical ones in highly structured and predictable environments, as well as data collection and processing." These jobs account for a staggering 51% of activities in the economy and $2.7 trillion in wages. Still, machine intelligence is progressing faster than previously thought possible.
What a year it's been for the supply chain industry. It was rich in innovation and collaboration that brought big ideas to fruition. Most notably, I'm thrilled to see IBM Supply Chain Insights come to market this December. I'm very excited to introduce the world to the work that my team has done to improve our own supply chain processes tenfold. We saw a need to make better use of our data to gain more flexibility and transparency by incorporating artificial intelligence to supply chain processes, and it's been a great journey to bring this idea to life!
If you think about it, we are all part of a supply chain -- as producers, consumers or distributors, often playing multiple roles. It should not surprise anyone that Artificial Intelligence has a role here too. Now, supply chain management is nothing new, even if the term itself was coined relatively recently, in the 1980s. Supply chain management traces its roots to the early 20th century, when the development of the assembly line necessitated a new system to manage the flow of raw materials and finished goods. Although the science (and art) of supply chain management remains primarily concerned with this, the business landscape has evolved significantly.