It's clear that the manufacturing industry is transforming, and although automation may be reducing the need for some tasks, overall we do expect the manufacturing industry and employment to increase. 2018 is shaping up to be a good year for manufacturers.
We currently offer telemetry devices and cloud based dashboards for our customers to collect process data from remote instrumentation and provide dashboards and operational efficiencies for supply chain management with our Supplycare service offering.
It appears Japanese factories, companies are looking beyond the IOT and or IOE; aiming to connect a variety of assets, e.g., machines, data, technologies, people, and organizations, as well as the existing industries and digital technologies, thereby bringing about the creation of new added value and the solutions to societal problems, bringing "Connected Industries" to fruition.
It is evident from our research that not only are workers not afraid of losing their jobs to automation, they are more than willing to retrain to leverage the efficiencies and benefits of artificial intelligence (AI) and robotics in the workplace
In response to consumer demand and competitive pressures, product variation is on the rise. That variation changes the manufacturing calculus somewhat, as the required variation and corresponding complexity means that the ability to think critically and independently and adjust to changing circumstances is a priority.
Use Data to Deliver Efficiency, Reduce Risk, and Create Better Products.
Disruptive technologies and market changes are transforming the manufacturing industry, requiring a new focus on optimizing use of data and information. It all adds up to a new industrial revolution called Industry 4.0.
Organizations who want to realize the potential of this revolution need to "Industrialize their data," making it a core asset to deliver better products and customer service, navigate complex business environments, and transform for the future. MarkLogic customers are delivering on this vision for data with a proven architectural pattern called the Operational Data Hub that simplifies the integration of data along the digital thread to power operational and analytic use cases across the enterprise.