There is no shortage of opportunities for AI and machine learning to be applied to the solution of big problems in global supply chains.
“Shipamax delivers data entry automation across entire logistics organizations,” says CEO and co-founder Jenna Brown.
A goal for 2021 is for SEDNA Systems to go beyond the automatic organization and routing of email by extracting the valuable business and operational information that is encoded and trapped within the email communications flowing in and out of the companies that are SEDNA’s customers.
The market for reliable, complete data and forecasts about agricultural commodities markets is a large and growing opportunity.
As it becomes necessary to take an increasing number of sources and types of data into account, the case for shifting away from simple spreadsheets and onto more sophisticated platforms will gain strength.
“We automate tasks that our users find tedious or frustrating so that they can focus on what’s interesting.”
ABEJA has developed proprietary tools to ensure that its AI Consulting engagements do not metastasize into endless ordeals.
Fashion industry incumbents that have failed to adopt technology to strengthen their business models are at significant risk, particularly as the pandemic accelerates a number of trends.
By the time entrenched incumbents awaken to the threats posed by newly developed general purpose technologies (GPTs), a crop of challengers who had no option but to adopt the new GPT at the outset has become powerful enough to threaten the financial stability of an industry.
There is an opportunity for startups as businesses seek to modernize their business process flows.
Industrial AI requires data from physical processes enhanced with digital capabilities through sensors and other connected devices.
The shift to 5G technology will bring challenges that require companies to enhance the skills of their network managers.
