Boeing is in the “rocket science” business, hence as the common idiom goes, it is no secret its manufacturing process is quite complex…
With millions of parts that go into the making of each plane and space launch systems – Boeing is peering into new technologies to look for faster, cheaper and safer ways to produce its planes. Metal Additive Manufacturing (i.e. 3D Printing) is at the forefront.
How can a traditional conglomerate (aka a global business producers) can be innovative?
In an increasingly competitive and innovative landscape, can Airbus use machine learning to improve efficiency while not sacrificing on safety?
Can products be on their way to you even before you think of ordering them? Can a company accurately anticipate your order and ship before you even place it? Amazon and other online retailers are investing in machine learning to more accurately forecast consumer demand and reduce fulfillment and shipping costs
Organovo, kicked off use of 3D printed liver tissue in big pharma research and drug development. Can it catapult the industry to shorten drug development cycle time and print entire liver organs in the next 15 yrs?
Back of House USA was founded on November 22, 2017. Rodney McLeod Jr. of the Super Bowl Champion Philadelphia Eagles tapped Sir Kevin James, designer and owner of ShopCore (4 locations in DC Metropolitan Area) and his best friend Jonathan Mason, a Wall Streeter and hedge fund founder, to create a progressive men’s streetwear store that provides high-fashion to an area skipped over by brands for places like LA and NYC. BOH struggles with inventory management and digital sales. BOH is located in Pentagon City Mall, a Simon Mall next to the Pentagon, but the founders know that Brick-and-Mortar retail stores are failing generally. The founders want to explore the options of machine learning to assuage inventory concerns and promote digital sales. Exploring the journey of CEO Katrina Lake (MBA ’11), one can see how BOH must work hard to obtain the scale necessary to support this endeavor.
How a leading German E-commerce player has employed machine learning algorithms to forecast with 90% accuracy what SKUs will be sold over the next 30 days and reduce inventory levels by 20%.
While machine learning creates a large opportunity for cloud software-as-a-service provider Workday to build solutions beyond their core enterprise human capital management and financial forecasting software, the prospect of designing and implementing complex algorithms presents significant risks that must be managed before an unsupervised implementation. This paper digs into the opportunity and risk mitigation tactics that Workday management should take over the next 3-5 years as they launch and scale these products.
The City of Boston faces new challenges as it seeks to harness the power of machine learning to improve performance, optimize processes, and explore frontiers in local governance.
3D-Printing represents a great opportunity for vending machine startups to innovate through an easier iteration process, enabling the whole industry to reinvent the customer experience.
