Redwood City, Calif. – Nov. 15, 2017 — C3 IoT, the leading AI and IoT software platform provider for digital transformation, has expanded business operations to the Asia Pacific (APAC) region with a new regional headquarters in Sydney, Australia.
C3 IoT is actively recruiting top talent throughout Australia and APAC – in data science, AI/machine learning, enterprise software, and related fields – to enable large industrial and commercial organizations to leverage AI at enterprise scale for productivity improvements, new business creation, and competitive differentiation.
C3 IoT has built the industry’s only comprehensive platform as a service (PaaS) for AI and IoT applications that is proven at industrial scale with enterprise deployments across industries, including retail, oil and gas, banking, mining, manufacturing, travel and transportation, and the public sector. The C3 IoT Platform aggregates and keeps current enormous volumes of disparate data from real-time and legacy data sources in a unified cloud-based data image, and employs machine learning in near-real time to improve operational efficiencies, enhance customer engagement, and differentiate products and services.
Australia’s leading integrated energy company, Origin Energy (ASX: ORG), is already using the C3 IoT Platform for the digital transformation of its Integrated Gas business.
“The Asia Pacific region includes many leading organizations that are seeking technology innovations to re-imagine processes, products, and services while harnessing the power of artificial intelligence,” said Ed Abbo, C3 IoT President and CTO. “Early interest expressed by business leaders at Gartner ITxpo demonstrates the market in Australia is ready for a sophisticated AI-based solution, such as the C3 IoT Platform, to help enterprises create value from their data. From our new regional HQ in Sydney, C3 IoT is building on our foundation of success to continue enabling digital transformations across regionally important industries like retail, oil and gas, mining, banking, and telecommunications.”
C3 IoT customers worldwide include Engie, Enel, Con Edison, and the U.S. Air Force, as well as large organizations in the discrete manufacturing, oil and gas, aerospace, healthcare, financial services, and travel and transportation industries.
C3 IoT was recently named No. 19 and the highest ranked new entrant on the annual Forbes 2017 Global Cloud 100, the definitive list of the top 100 private cloud companies in the world. Additionally, C3 IoT is a Glassdoor 2017 Best Place to Work.
Applicants interested in joining the C3 IoT team should visit /iot-jobs.
A recent, in-depth report is rich with survey statistics, key findings, and recommendations on how and why manufacturers are pursuing IoT initiatives. C3 IoT President and CTO, Ed Abbo, contributed to the effort via an interview with PwC and MAPI. Three sections worthy of highlighting include:
“Collecting data from platforms such as manufacturing, inventory systems, logistics, machinery or connected products is one thing. Most manufacturers have no shortage of data,” said Ed Abbo, President and Chief Technology Officer of C3 IoT, an AI and IoT application development platform provider, in an interview with PwC and MAPI.
“But committing to getting the most out of that data is another matter. It is CEO-led mandates for digital transformation initiatives that are driving the large and growing market opportunity for a new generation of enterprise software that leverages big data, AI, and IoT at industrial scale. C3 IoT serves this growing demand by enabling large industrial and commercial organizations to rapidly build and deploy next-generation software applications that leverage AI and IoT across all parts of the enterprise to address productivity improvements, new business creation, and competitive differentiation. If companies can’t get this right, they will be at a competitive disadvantage,” Abbo added.
“We’re definitely seeing companies starting to think about how they can move from simply selling a product to selling a service. For example, in the mining industry, instead of selling earth moving equipment, the model could be selling tons of earth moved. That way, there’s a lot less that a customer has to worry about, such as high capital expenditures and maintenance, for example. Some customers might really favor that model,” Abbo added.
“Manufacturers that have product data can also better predict that an issue with one customer could trigger a red flag or potential claim by another customer with similar circumstances,” said Ed Abbo, President and CTO of C3 IoT. For example, C3 IoT worked with one manufacturer that was gathering data on 2,300 of its products in the field, with each product emitting data from hundreds of sensors. Once their data was properly integrated and correlated with other data sets (such as data on inventory, sales, repair service, etc.), the company was able to anticipate, for example, whether proactive repairs were required to avoid potential warranty claims, and whether design or manufacturing changes were needed based on the experiences of other customers.