DataSkill’s win with SilverHook Powerboats, IBM and Cisco hits the news around the globe
Featuring over 600 articles the interactive map provides links to all of the write-ups. Click the map below to be taken to the page.
IBM and Cisco Combine the Power of Watson Internet of Things with Edge Analytics
2nd June 2016
IBM and Cisco today announced a collaboration which combines IBM’s Watson IoT with Cisco’s edge analytics. DataSkill’s work with SilverHook Powerboats was highlighted in the press release.
“SAN JOSE, CA and ARMONK, NY – 02 Jun 2016: Cisco (NYSE: CSCO) and IBM (NYSE: IBM) today announced a global collaboration to provide instant Internet of Things (IoT) insight at the edge of the network. Now, businesses and organizations in remote and autonomous locations will be able to tap the combined power of IBM’s Watson IoT and business analytics technologies and Cisco’s edge analytics capabilities to more deeply understand and act on critical data on the network edge.”
“SilverHook Powerboats, a company that designs high speed racing watercraft reaching speeds of up to 200 mph, with each boat containing two engines worth approximately $1.5M USD, is tapping into Cisco edge analytics and IBM Watson IoT analytics to help race pilots react immediately to environment and engine multi variate conditions in real-time, indicating the need to throttle back in a split second, for example, to help prevent the boat’s systems from failure and to perform optimally. Previously, without this instant insight into the critical data, the outcomes could spell disaster.
Building on IBM and Cisco’s long-standing relationship, the solution will be marketed and sold together and will include Watson IoT Platform cognitive and real time insights from IBM with Cisco streaming edge analytics. This will enable real-time analytics to be performed at the edge and collection of data for longer-term analysis in the cloud.”
The full press release can be found here. http://www-03.ibm.com/press/us/en/pressrelease/49845.wss
The SilverHook project was also mentioned on the Cisco portal. See below for discussion, Silverhook discussed from minute 21:48
.
In addition the SilverHook story has been picked up by a number of other media outlets;
Forbes http://www.forbes.com/sites/aarontilley/2016/06/02/ibm-cisco-watson-internet-of-things/#4264f66e564a
TechCrunch http://techcrunch.com/2016/06/02/ibm-cisco-iot/
Wireless week http://www.wirelessweek.com/news/2016/06/ibm-cisco-team-bring-ai-iot
Tech Republic http://www.techrepublic.com/article/ibm-watson-invading-cisco-routers-for-iot-takeover-at-the-edge/
ZDnet http://www.zdnet.com/article/ibm-cisco-aim-to-collaborate-on-internet-of-things-deployments/
Channel Life https://channellife.com.au/story/IBM-and-Cisco-collaboration-targets-IoT-analytics/
TechWeek Europe http://www.techweekeurope.co.uk/networks/cisco-ibm-iot-edge-network-193180
Eweek http://www.eweek.com/database/ibm-cisco-team-up-to-deliver-iot-analytics-at-the-network-edge-2.html
Channelnomics http://www.channelnomics.com/channelnomics-us/news/2460419/ibm-cisco-in-watson-iot-deal-for-analytics-at-networks-edge
From DeepMind To Watson: Why You Should Learn To Stop Worrying And Love AI
18th March,2016
David Gilbert writing in the International Business Times uses the SilverHook story as an example of how AI is about helping companies make better decisions and operate efficiently.
An extract from the article is below.
-
South Korean professional Go player Lee Se-Dol speaks to reporters after a match against Google’s artificial intelligence program, AlphaGo, on March 9, 2016 in Seoul, South Korea.PHOTO: KIM MIN-HEE-POOL/GETTY IMAGES
It may not look like one of Isaac Asimov’s robots or sound like HAL from “2001: A Space Odyssey,” but artificial intelligence is here, and it is already having a huge impact on how the world works. From the way you shop for a pair of shoes online to how fast a Formula 1 team can push its car’s engine, AI is helping businesses across the globe save millions by improving performance and efficiency.
Still, problems like trust and security, not to mention fears of the so-called singularity, when artificial intelligence would overtake human thinking, remain hurdles that the technology must overcome before it goes mainstream.
AI hit the news this week after a program called AlphaGo, developed by engineers at DeepMind, the AI startup acquired by Google in 2014 for $580 million, defeated the world’s No. 1 Go player Lee Sedol. AlphaGo beat Sedol 4 games to 1, claiming a $1 million prize. It was hailed as a milestone for AI and came a decade before many experts believed it would happen.
DeepMind co-founder Demis Hassabis said the achievement left him “speechless,” and Twitter users reacted by “welcoming our robot overlords.” While that sentiment is overstating the victory by several orders of magnitude, machine learning and cognitive computing is already helping to improve the way companies operate.
Five years ago, IBM’s Watson supercomputer made a splash when it beat human opponents to win “Jeopardy,” but today the Watson cognitive computing platform is being used by hundreds of companies globally as IBM seeks to make the jump from the theoretical to the real world — and it could be a huge sales driver for the growth-challenged computing giant.
Market research firm IDC claims that by 2018, half of all consumers will interact with services based on cognitive computing on a regular basis. Last September, John Kelly, IBM’s senior research vice president, told Bloomberg that Watson was set to become a “huge engine” for Big Blue.
While growth for the Watson division has been slow since the “Jeopardy” win, it is now beginning to generate significant amounts of revenue, with Kelly revealing it is the fastest- growing part of IBM’s analytics business and could soon pass $1 billion in sales in the near-term. CEO Ginni Rometty’s prediction of Watson’s generating $10 billion in revenue by 2023 remains a realistic target.
Rather than seeing AI as a risk, IBM exes said businesses, and the public at large, need to be ready to embrace it as a foundational technology that can change lives.
“I think the real risk for society is not knowing,” Harriet Green, general manager of Watson’s Internet of Things unit, told International Business Times. “Every day we pay the price for not knowing what can be done, not knowing what is wrong with a patient, not knowing where to find critical natural resources.”
AI is developing faster than most predicted thanks to abundant processing power, previously only available on supercomputers that few had access to. Development is also being accelerated thanks to Big Data and the cloud storage infrastructure, which holds all the information that’s generated from computers, smartphones and Internet-connected devices and machines.
IBM claims there are in excess of 2.5 billion gigabytes of data being produced every single day, which is the same as 170 newspapers being delivered to every single man, woman and child on the planet — and making use of this data is key for any business. While AI in popular culture relates to self-aware, sentient beings, in the real world of 2016, AI is all about helping companies make better decisions and operate more efficiently.
IBM’s Watson IoT computing platform is able to help Silverhook Powerboats to make the most of all the data they collect.PHOTO: SILVERHOOK POWERBOATS
IBM this week announced that Honda’s Formula 1 team is using its Watson IoT platform as part of its analytics. Silverhook Powerboats is another racing team using the AI technology to improve its results.
Just like Formula 1 cars, Powerboats have dozens of sensors on board to collect huge amount of data on everything from temperature of the engine to how deep in the water the vessel is lying. Silverhook’s engineers use IBM’s cognitive computing tools to gather the data being collected in real time and analyze it to make more informed choices during races. It lets the team “make decisions on how far we can push the engine, push the performance, without getting into a high-risk factor where we could have an accident,” Nigel Hook, CEO of Silverhook Powerboats, told IBT.
Read the full article here
CeBIT 2016
14 – 18 March, 2016
Welcome to the cognitive era – outthink your limits
CeBIT 2016 for IBM will mark the beginning of a new computer era. Programmable computers will be replaced by cognitive systems. These systems are able to recognize patterns and connections in unstructured data hence to “understand” them. This is the new era of “cognitive business”, in which IBM welcomes all visitors.
CeBit is the largest and most internationally represented computer expo in the world. SilverHook Powerboats and DataSkill, in collaboration with IBM, have been creating the next generation of intelligent telemetry incorporating machine learning to predict and prevent engine problems and monitor the health of the pilots in real time. The team uses IBM Analytics solutions based on the IoT Foundation on Bluemix to be able to operate in a more efficient manner. Following this, Silverhook can be much faster during the race and with that be more successful using Analytics and especially SPSS.
SilverHook story appears in 2015 IBM Annual Report
March 9, 2016
http://www.ibm.com/annualreport/2015/silverhook-powerboats/
IBM Delivers Open Source Streaming Analytics at the Edge for Internet of Things Devices
Feb 19, 2016
ARMONK, N.Y., Feb. 19, 2016 /PRNewswire/ — IBM (NYSE: IBM) today announced Quarks, a breakthrough technology now available to the open source community that embeds streaming analytics onto Internet of Things (IoT) devices. Analyzing data at the edge continuously, can help companies generate insights more quickly and reduce network communication costs. IBM has submitted a proposal to Apache Software Foundation to request incubation of Quarks.
SilverHook Powerboats, maker of some of the world’s fastest monohull watercrafts, wanted to use sensor data collected from racing boats to improve the decision-making abilities and safety of racers and to enhance the fan experience. In powerboat racing, racers rely on telemetry data from their boats to formulate strategy and make safety-related decisions. However the high speeds and the pounding against salt water often taxes on-board equipment and drivers. To mitigate such risks, monitoring data is fed back to analytics engines, which provide real-time alerts such as engine performance issues, potential battery failure or even biometric data such as driver exhaustion.
Sensors on SilverHook’s racing boats provide more than 80 sources of data, gather measurements at 100 times per second and then transmit the data to on-board computers at five times per second for on-shore teams. But there wasn’t a way to collect, distill and deliver insights in a useful format. In collaboration with IBM and Dataskill, SilverHook Powerboats employed a solution that streamed data to a cloud-based analytics solution. Racers can now have access to real-time information while they race, helping them to make adjustments to on-board equipment while they race. The rich visual interface can also allow fans view boat locations, speed and leaderboards in real-time.
“Quarks represents a natural extension of our streaming analytics project. Quarks can be deployed directly on our boats to perform analytics locally. The result is faster insights, which will ultimately help us win the race,” said Nigel Hook, co-founder and CEO of SilverHook Powerboats. “Another benefit is we remove dependence on communications networks, which can be unreliable on the water. Quarks offers analytics at the edge so we can pursue a common streaming analytic model across our boats and our central streaming application.”
The SilverHook story is featured in the cover story for the January issue of the IBM Systems Magazine
January 2016
“Using IBM Bluemix to expose core services to the hybrid cloud is one example of how this move has benefited IBM clients. One such client, San Diego, California-based SilverHook Powerboats, sought to get more value from the 80 sensors that generate 2,000 bits of telemetry data per second during a race. Collecting, distilling and analyzing that information to yield useful insights and make informed decisions was a challenge.
Using the IBM Internet of Things Foundation, combined with the IBM Bluemix platform, the IBM jStart team was able to help SilverHook’s partners, DataSkill Inc. and Virtual Eye, develop a real-time telematics platform to stream data from the array of the powerboat’s sensors and GPS trackers directly into a private cloud where the solution sifts through the data in real time, searching for relevant information that should be communicated to the racing team. The solution resulted in 40 percent faster application development time and improved decision making, safety and competitiveness.”
Read the full article here http://www.ibmsystemsmag.com/power/trends/whatsnew/middleware-API-economy/