Restarting production after COVID-19

As the Coronavirus mitigation measures begin to achieve some success and the economic impact of this crisis grows across the globe, governments are calling on manufacturers to restart their production and to provide leadership in the post lockdown world. For manufacturers, this is a time of great uncertainty as executives face increased challenges around supply and demand, workforce disruptions, and …

Some important factors to consider when aiming to digitize your factory for autonomous manufacturing

When considering the implementation of AI and how a manufacturer can work towards achieving autonomous manufacturing, a few questions come to the forefront. This paper explores how manufacturers can begin the process of digitization and put the foundations in place for autonomous manufacturing. The topics covered in this paper include: How much data is required for AI? How does your …

DataProphet launches webinar series for manufacturers: ‘Preparing for AI’

DataProphet hosted a series of webinars for manufacturers to prepare for artificial intelligence (AI) to optimize plant production. The series of online tutorials covers the type of data required from the production process, how to record and improve the data – and the benefits of AI.  Register to attend future live webinars or watch the tutorials on-demand here.  Data Required …

Four best practices to optimize plant control plans with AI

DataProphet has reduced spot weld defects in the body shop of a mature vehicle assembly plant by 75%. We share key takeaways and tips from our spot weld experience and other real-world implementations of AI to optimize manufacturing control parameters. Take a proactive and holistic approach to process parameter optimization In our experience, the most successful process optimization solutions are …

How to prepare your factory for AI?

It is essential to lay the proper groundwork in order to achieve the benefits of artificial intelligence (AI) enabled factory optimization. This entails the digitization of existing data, the automation of data collection, and the implementation of a proper storage mechanism. We outline these initial steps to prepare your factory for AI optimization. Digitize of paper records The process of …

DataProphet: Fast Company 2020 Most Innovative Companies

DataProphet is proud to announce that it was selected as one of the 25 finalists for the Fast Company 2020 Most Innovative Companies.  Fast Company South Africa launched its inaugural innovation awards on the 5th March in Cape Town, alongside a conference exploring how innovation can support South Africa to achieve its National Development Plan 2030 goals. DataProphet PRESCRIBE, which …

CB Insights selects DataProphet for AI 100 list

DataProphet is honored to be listed in the fourth annual AI 100 ranking, which showcases the 100 most promising private AI companies around the world. DataProphet is the only African company selected and one of four in the manufacturing sector. Through an evidence-based approach, the CB Insights research team selected the AI 100 from nearly 5,000 companies based on several …

Self-assessing for Industry 4.0

Machine learning is largely dependent on the ingestion of data – and not just any data. We need to look at the complexity that surrounds large industrial operations and the type of data manufacturing plants are probably already collecting. It starts with qualityIn modern production environments, there are many places to measure the pulse of your operation: from takt time …

DataProphet talks about Autonomous Manufacturing at the American Manufacturing Summit 2020

DataProphet will be at the American Manufacturing Summit on March 24 – 25, 2020 in Chicago, Illinois. Key themes for the event include manufacturing profitability, manufacturing innovation, talent and capability, and plant floor optimization. The event provides a platform for manufacturing companies to hear about the latest developments and innovations in the industry. Our VP of Global Sales, Brian Gillespie, …