The Oracle Internet of Things (IoT) Cloud offering has been enhanced with built-in artificial intelligence (AI) and machine learning that powers Digital Twin and Digital Thread capabilities.
As a result, customers and partners can quickly gain operation-wide visibility and leverage predictive insights from connected assets. These insights can decrease deployment times, reduce costs, improve business outcomes, and accelerate new market opportunities. Combining the power of Oracle IoT Cloud and enterprise applications, Oracle also introduced new industry solutions for digital field service, smart connected factories, and digital fleet management.
“IoT holds the potential to transform today’s siloed operations into a modern, interconnected, digital set of workflows with real-time visibility and responsiveness,” said Bhagat Nainani, group vice president, IoT Applications at Oracle. “Oracle continues to push the boundaries of IoT to help our customers significantly simplify their IoT deployments. By receiving real-time data streams enhanced with predictive insights, they can reach new levels of intelligence and a much quicker realization of ROI.”
The expansion follows the recent introduction of new Oracle IoT Cloud Applications for asset monitoring, connected workforce, fleet monitoring, and production monitoring. Also, in the past six months alone, Oracle has more than tripled its IoT application ecosystem of device and systems integration partners. Oracle IoT Cloud is offered both as software-as-a-service (SaaS) applications, as well as platform-as-a-service (PaaS) offerings, enabling a high degree of adaptability for even the most demanding implementations.
“Hitachi Consulting is constantly looking for industry leaders like Oracle to help clients and prospects harness the power of data and IoT to optimise operational and financial performance, outpace their competition and solve significant business problems,” said Garth Carter, vice president North America Sales, Hitachi Consulting. “Our longstanding, strategic relationship with Oracle delivers industrial IoT solutions to digitise the physical world for manufacturing, energy, and transportation. In particular, Hitachi is leveraging Oracle IoT Applications—asset monitoring and production monitoring—that are uniquely engineered to meet specific industry and functional needs. These applications have a depth of OT, IT and IoT functionality that no competitor can match.”
New capabilities introduced today include:
· Digital Twin for Supply Chain Management
Digital Twin is a digital representation of a physical asset or equipment that enhances traditional analytics approaches. The object model includes multi-faceted views into current, historical, and predictive data, as well as operational and behavioral dimensions of that asset. This enables remote users to not only monitor the health of that asset to prevent failures before they occur, but also to run simulations of “what-if” scenarios in the context of the business processes. With Digital Twin, organizations have a new operational paradigm to interact with the physical world, allowing lower operational and capital expenditures, minimizing downtime, and optimizing asset performance.
· Digital Thread for Supply Chain Management
Supply Chain practitioners have spent millions of dollars in implementing SCM and ERP systems, but most often, data is manually fed into these systems. Digital Thread is a connected business process framework that leverages IoT and creates a “system of systems” by connecting traditionally siloed elements in real-time throughout the digital supply chain. By providing an end-to-end view of an asset throughout the entire manufacturing lifecycle, Digital Thread seamlessly bridges the entire supply chain process—from product design and order fulfillment, to manufacturing and product life cycle management, to warehousing and transportation, to logistics and procurement.
· Artificial Intelligence and Machine Learning
Built-in AI and machine learning features are now fully integrated across Oracle’s IoT solutions portfolio. These technologies leverage machine data in the context of business data from applications, such as manufacturing, maintenance, service, and logistics. The built-in operational analytics help detect anomalies, predict equipment failures, and recommend the best course of action. They also provide the intelligence needed to evolve capabilities to increase effectiveness and experiences of applications.
· Industry Solutions Built on IoT Cloud Applications
Oracle IoT industry solutions help customers reimagine and innovate business solutions for the connected, intelligent, context-aware, digital enterprise. New solutions introduced today include:
o Digital Field Service: Showcases intelligent remote monitoring, failure prediction, over-the-air repair, and dynamic technician dispatch. The solution features IoT Asset Monitoring Cloud, CX Service Cloud, CX Engagement Cloud, and CX Field Service Cloud, plus the use of augmented reality (AR) for guided equipment repair.
o Smart Connected Factory: Demonstrates how incident detection, root cause analysis, and smart resolution are performed within minutes in a connected factory. The solution features IoT Production Monitoring Cloud, SCM Cloud and ERP Cloud, and the use of virtual reality (VR) to navigate the manufacturing floor. It can also be used for remote worker training.
o Digital Fleet Management: Showcases real-time shipment tracking, risk management, and logistics synchronization. The solution features IoT Fleet Management Cloud and Oracle Logistics Cloud.
Kenya tool to help companies prepare for emergencies
After its team members survived last week’s Nairobi terror attack, Ushahidi decided to release a new preparedness tool for free, writes its CEO, NAT MANNING
On Tuesday I woke up a bit before 7am in Berkeley, California where I live. I made some coffee and went over to my computer to start my work day. I checked my Slack and the news and quickly found out that there was an ongoing terrorist attack at 14 Riverside Complex in Nairobi, Kenya. The Ushahidi office is in Nairobi and about a third of our team is based there (the rest of us are spread across 10 other countries).
As I read the news, my heart plummeted, and I immediately asked the question, “is everyone on my team okay?”
Five years ago Al-Shabaab committed a similar attack at the Westgate Mall. We spent several tense hours figuring out if any of our team had been in the mall, and verifying that everyone was safe. We found out that one of our team member’s family was caught up in the attack. Luckily they made it out.
At Ushahidi we make software for crisis response, including tools to map disasters and election violence, and yet we felt helpless in the face of this attack. In the days following the Westgate attack, our team huddled and thought about what we could build that would help our team — and other teams — if we found ourselves in a similar situation to this attack again. We identified that when we first learned of the attack, nearly everyone at Ushahidi had spent that first precious few hours trying to answer the basic questions, “Is everyone okay?”, and if not, “Who needs help?”
People had ad-hoc used multiple channels such as WhatsApp, called, emailed, or texted. We had done this for each person at Ushahidi (their job), in our families, and important people in our community. Our process was unorganised, inefficient, repetitive, and frustrating.
And from this problem we created TenFour, a check in tool that makes it easier for teams to reach one another during times of crisis. It is a simple application that lets people send a message to their team via SMS, Slack, Voice, email, and in-app, and get a response. It also works for educational institutions, companies with distributed staff, as well as part of neighbourhood networks like neighbourhood watches.
This week when I woke up to the news of the attack at Riverside, I immediately opened up the TenFour app.
Click here to read how Nat quickly confirmed the safety of his team.
Kia multi-collision airbags
The world’s first multi-collision airbag system has been unveiled by Hyundai Motor Group subsidiary KIA Motors, with the aim of improving airbag performance in multi-collision accidents.
Multi-collision accidents are those in which the primary impact is followed by collisions with secondary objects, such as other vehicles, trees, or electrical posts, which occur in three out of every 10 accidents. Current airbag systems do not offer secondary protection when the initial impact is insufficient to cause them to deploy.
However, the multi-collision airbag system allows airbags to deploy effectively upon a secondary impact, by calibrating the status of the vehicle and the occupants.
The new technology detects occupants’ positions in the cabin following an initial collision. When occupants are forced into unusual positions, the effectiveness of existing safety technology may be compromised. Multi-collision airbag systems are designed to deploy even faster when initial safety systems may not be effective, providing additional safety when drivers and passengers are most vulnerable. By recalibrating the collision intensity required for deployment, the airbag system responds more promptly during the secondary impact, thereby improving the safety of multi-collision vehicle occupants.
“By improving airbag performance in multi-collision scenarios, we expect to significantly improve the safety of our drivers and passengers,” said Taesoo Chi, head of the Hyundai Motor Group’s Chassis Technology Centre. “We will continue our research on more diverse crash situations as part of our commitment to producing even safer vehicles that protect occupants and prevent injuries.”
According to statistics by the National Automotive Sampling System Crashworthiness Data System (NASS-CDS), an office of the National Highway Traffic Safety Administration (NHTSA) in USA, about 30% of 56,000 vehicle accidents from 2000 to 2012 in the North American region involved multi-collisions. The leading type of multi-collision accidents involved cars crossing over the centre line (30.8%), followed by collisions caused by a sudden stop at highway tollgates (13.5%), highway median strip collisions (8.0%), and sideswiping and collision with trees and electric poles (4.0%).
These multi-collision scenarios were analysed in multilateral ways to improve airbag performance and precision in secondary collisions. Once commercialised, the system will be implemented in future new KIA vehicles.