RFA applications for advanced analytics and artificial intelligence abound, from product discovery, to design and product creation, to manufacturing.
Summer intern, Lucy Kingma, recaps her experience and highlights the Kalypso difference.
Summer intern, Abhishek Dubey, recaps his the projects he worked on during his time with the firm and highlights the lessons he learned about digital.
Summer intern, Amy Falls, recaps her experience and reflects on what she learned from Kalypso's culture.
An MVP is a Critical Bridge to Scaling New Technology. The journey for a successful Digital Transformation initiative follows a five-step approach.
A strategic focus on standardization can provide enough stability to allow organizations to respond to changes and challenges with agility.
Ultimately, the future vision for mining is an autonomous fixed plant to minimize process variability, maximize productivity, reduce human intervention, reduce cost and improve safety.
We talked to Jordan Reynolds, Global Director of Data Science, about how traditionally non-"tech" companies can leverage AI to solve business problems.
Whether you’ve embraced digital transformation or are still trying to figure how to translate proof experiments into real value, here are four core concepts that companies must understand about how to drive business value, build resiliency, and scale into the future.
A legacy of siloed functions in pharma and biotech organizations inhibits innovators from developing and commercializing therapies with speed and efficiency. Manufacturing organizations rarely have access to key insights and information from research and development (R&D), quality, supply chain, sourcing, procurement, and logistics functions and systems. This is particularly true for product and process data stored across enterprise applications. R&D professionals may use Digital Knowledge Management (DKM) systems to manage product and process data, including formulation and packaging information, but often this information is not easily accessible to the manufacturing organization that has to make daily production decisions based on available supply and capacity. Demand forecasting, sales and operations (S&OP) and supply planning functions may use purpose-built solutions and enterprise resource planning (ERP) systems to align demand, supply, capacity, sourcing events and purchase orders, but when they run into supply constraints or demand fluctuation, manufacturing cannot react quickly, preventing them from making proactive decisions on how to best meet production demand.