Honda and Watson team up for safe driving

At IBM InterConnect, IBM CEO Ginni Rometty talked about the three principles of augmented intelligence in this AI era: service to mankind, transparency, and skills.
She also discussed how IBM Watson can make us a better version of ourselves. There’s no better example of this than Honda R&D&;s Driver Coaching System prototype that helps new as well as older drivers learn how to spot and avoid potentially dangerous road situations.
Honda R&D realized that both Japan and US markets have the same issues: an aging population and a growing share of young drivers. For both countries, it&8217;s these two groups who are most likely to be in deadly auto accidents.
Honda R&D has analyzed the behaviors, skills and judgments that take place in real time as experienced drivers successfully encounter dangerous situations. By understanding the behaviors of very skilled drivers — how they gauge and react to risk — they can apply that to all drivers. The interest is in elderly and new drivers especially prone to accidents and how lives can be saved through actively coaching these drivers.
Good driving deconstructed
Let’s assume an experienced driver can spot danger a few seconds faster than a novice driver. With the Driver Coaching System, it can give that extra reaction time to drivers of all experience levels. In addition, it will support a new driver who faces the anxiety of operating a car. Watson acts as a safe driving coach by engaging in an encouraging conversation as the new driver builds confidence in driving and learns to spot dangerous situations.
I love to drive. I own a fairly exotic car and often “open it up” to feel the raw exhilaration of speed, power and control. My mind clears and focuses solely on the drive and the extremes of the car: the calculus of the curves, the feel of acceleration, timing of shifting and braking. It takes concentration, awareness, risk evaluation, and reaction. I have experience. But does that make me a good driver?
Honda R&D has deconstructed what it takes to be a good driver.
How does it work?
The Driver Coaching System is continually monitoring the driving situation or “the scene” and evaluates the speed (overall and relative to other cars), distance to surrounding objects, adherence to the lane, and braking times and distances. Watson uses that information to offer real-time guidance and advice in Japanese.
It’s also gauging the driver and classifying the driver’s skill and mental state based on changing behaviors and conditions.
I learned the hard way that I’m not a “good driver” all the time. I wrecked a rental car in an accident leaving an airport in an unfamiliar city. In that situation, I was more like a novice driver with the anxiety of driving an unfamiliar car in an unfamiliar place.
The Driver Coaching System is detecting whether a driver is driving outside their norms and is perhaps anxious, distracted or tired. With this information, the prototype can classify the driver’s current state: whether that’s normal, they’re attentive or inattentive, and driving conservatively or aggressively. It adjusts its coaching to fit the driver’s state of mind.
The scene and the driver’s behavior determine the coaching Watson provides to the driver. The goal is for Watson’s coaching to be timely, friendly, supportive and welcomed. Watson is coaching the driver in Japanese.
How is Watson’s Japanese?
Japanese is a high-context language. In Japanese, meaning is expressed between the lines. The listener has to have the background knowledge of multiple dimensions to grasp the intended meaning of what’ being said. As Watson continues to improve how it speaks and understands Japanese, it has to truly appreciate and apply this cultural context. This is quite different from how Watson originally learned English.
“A conversation with Watson is getting more accurate and showing improved understanding of human intention,” said Yoshimitsu Akuta, chief engineer, Honda R&D.  “I look forward to more possibilities with the context of the Japanese language. I think both English and Japanese speakers will be excited to have conversations with Watson as their friend in the car.”

Rapid prototype
The team at Honda R&D, led by Akuta, used agile development and had a proof of concept in about two months. The Driving Coaching System was built on IBM Bluemix and uses Watson Conversation, Watson Natural Language Understanding and Watson Translator.
Build with these services and many more on the Watson Developer Cloud.
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Quelle: Thoughts on Cloud

Amazon CloudWatch Events Adds Routing to Amazon EC2 Run Command

Amazon CloudWatch Events now supports Amazon EC2 Run Command as an event target. This allows you to route system events that describe changes in your AWS environment to Run Command for processing. Run Command, a part of Amazon EC2 Systems Manager, provides a simple way of remotely executing common administrative tasks like running scripts, installing software, and managing patches. Now, you can perform ad-hoc actions through Run Command on your instances based on changes in your AWS environments. For example, you can now collect instance logs when instances in an Auto Scaling group are terminated by creating a CloudWatch Events rule with Auto Scaling as the source and Run Command as the target. To learn more, see the CloudWatch Events documentation here.
Quelle: aws.amazon.com

Unveiling IBM Cloud Product Insights to unlock value through cloud

Today at IBM InterConnect, the team pulled back the curtain on a new tool to help you find value in your data. It’s called IBM Cloud Product Insights. It’s a product that aims to help you connect your existing middleware infrastructure to the cloud. Why is this so important?
It’s anticipated that the future of business will be built in the cloud. According to a study by Technology Business Research, hybrid is the single greatest growth opportunity within cloud, with an amazing 32 percent projected growth among those surveyed.
Moving to a hybrid cloud strategy may be a critical step for your business, and IBM can help you get there. Many leaders know their organization needs to move to the cloud but the challenge is understanding where to start. Others may struggle to optimize and balance software deployments across their cloud-based and on-premises environments after adoption. Product Insights is designed to help you solve these issues. And here’s the good news: the first tier of Product Insights comes at no cost.
What IBM Cloud Product Insights can do for you
IBM Cloud Product Insights is a new product that provides near real-time information for your existing IBM on-premises software. It assists administrators by providing a full view of their deployed instances and usage data through cloud-based dashboards.
Product Insights features include:

Quick registration of IBM software products
Groupings of deployed products into cross-product dashboards to focus on specific environments
Insights into which products and versions are deployed and managed, all from a single console
Visibility into product usage to help with planning and optimization
Information on product usage and analytics

Combine these capabilities with the built-in intelligent recommendations and you can get insight into how to adjust your services to reduce costs and improve performance. You can quickly ramp up deployments using cloud services, get insight into licensing and usage and find additional software services to meet your needs.
IBM strives to help clients connect to the cloud and achieve that coveted point of presence, so that they can offer customers the perfect service at the perfect time. If your environment exists on-premises and you are ready to embrace the power of cloud, IBM will help bring you the insights, speed and flexibility to move services and quickly pursue opportunities important to your growth.
To learn more about IBM Cloud Product Insights, watch the intro video or visit the new website.
 
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Quelle: Thoughts on Cloud

Amazon EMR announces instance fleets for Amazon EC2 Spot instances and Spot blocks

Amazon EMR now supports a variety of new Amazon EC2 Spot instance management features with instance fleets. Instead of specifying a specific Amazon EC2 instance type for an Amazon EMR instance group or Amazon EC2 availability zone for your Amazon EMR cluster, you can now provide a list of possible choices and allow Amazon EMR to automatically select an optimal combination. When creating clusters with instance fleets, Amazon EMR can now automatically provision Spot capacity across a variety of instance types, select optimal Amazon EC2 availability zones, and blend Spot and On-Demand capacity to minimize overall cost.
Quelle: aws.amazon.com