Apixio Inc. has raised $19.3 million in Series D venture capital funding led by SSM Partners with participation from First Analysis, Bain Capital Ventures and Apixio’s largest angel investor. Apixio will dedicate the proceeds toward advancing and scaling products powered by its cognitive computing platform, further enabling insights for optimal patient care.
The Series D funding comes as Apixio experiences strong momentum and increasing demand for its HCC Profiler solution, which mines unstructured medical records, for an accurate view of a patient’s chronic conditions so payers and providers can deliver better care. Apixio’s cognitive computing platform has analyzed data from more than six million patients, achieving 210 percent year-over-year growth in patients analyzed.
Rebecca Thompson of @AvereSystems | @CloudExpo #AWS #Azure #DataCenter
«Avere Systems is a hybrid cloud solution provider. We have customers that want to use cloud storage and we have customers that want to take advantage of cloud compute,» explained Rebecca Thompson, VP of Marketing at Avere Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Announcing @ChrisMatthieu Tech Chair of @ThingsExpo | #IoT #M2M #RTC
Internet of @ThingsExpo has announced today that Chris Matthieu has been named tech chair of Internet of @ThingsExpo 2016 Silicon Valley.
The 6thInternet of @ThingsExpo will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Google adds image recognition to growing AI portfolio
Google has continued its charge on the artificial intelligence market through purchasing French image recognition startup Moodstocks, reports Telecoms.com.
Moodstocks, founded in 2008, develops machine-learning based image recognition technology for smartphones, which has been described by developers as the ‘Shazam for images’. Financials of the agreement have not been confirmed to date.
“Ever since we started Moodstocks, our dream has been to give eyes to machines by turning cameras into smart sensors able to make sense of their surroundings,” Moodstock said on its website. “Today, we’re thrilled to announce that we’ve reached an agreement to join forces with Google in order to deploy our work at scale. We expect the acquisition to be completed in the next few weeks.”
Artificial intelligence is one of the focal points of the Google strategy moving forward, which was confirmed by Google CEO Sundar Pichai during the company’s recent earnings call, though the focus can be dated back to the $625 million DeepMind acquisition in 2014. Although DeepMind is arguably the most advanced AI system in the industry, Telecoms.com readers recently confirmed in a poll Google was the leader in the AI segment, it has seemingly been playing catch up with the likes of Watson and AWS whose offerings have been in the public eye for a substantially longer period of time.
The recognition tools are most likely to be incorporated into the Android operating system, though Moodstocks customers will be able to continue to use the service until the end of their subscription. Moodstocks will be incorporated into Google’s R&D centre in France, where the team will work alongside engineers who are focusing on the development of Youtube and Chrome, two offerings where there could be a link to the Moodstocks technology.
“Many Google services use machine learning (or machine learning) to make them simpler and more useful in everyday life – such as Google Translate, Smart Reply Inbox, or the Google app,” said Vincent Simonet, Head of R&D centre of Google’s French unit. “We have made great strides in terms of visual recognition: now you can search in Google Pictures such as ‘party’ or ‘beach’ and the application will offer you good pictures without you and have never needed to categorize them manually.”
Last month, Google also announced it was expanding its machine research team by opening a dedicated office in Zurich. The team will focus on three areas specifically, machine intelligence, natural language processing & understanding, as well as machine perception.
Elsewhere in the industry, Twitter completed the acquisition of Magic Pony last month reportedly for $150 million. Magic Pony, which offers visual processing technology, was one of the more public moves made by the social media network, which could be seen as unusual as the platform lends itself well to the implementation of AI. Microsoft also announced the purchase of Wand Labs, building on the ‘Conversation-as-a-Platform’ proposition put forward by CEO Satya Nadella at Build 2016.
BT and Daisy announce £70mn partnership
BT has announced a £70 million partnership with Daisy Group which will offer customers of the latter to BT’s Wholesale Hosted Centrex (WHC) platform, reports Telecoms.com.
Daisy’s customers will be integrated to the platform over the next 18 months, which provides customers with cloud-based unified communications services including cloud call recording, HD voice services, call analytics and web collaboration.
“Many businesses are now hosting their communication services using cloud technology to make them accessible to all, using any fixed or mobile device, at any time, wherever they might be,” said Gerry McQuade, CEO of BT Wholesale and Ventures. “BT and Daisy Group have been pioneers of that trend, so I’m delighted that we’re coming together to bring customers a powerful combination of experience, scale and expertise.
“We believe the rapid pace of change will continue over the coming years, and we’re looking forward to helping both Daisy and BT customers reap the benefits that change will bring.”
The cloud of clouds initiative launched by BT has been one of the cornerstones of its enterprise business strategy for some time. Last month , Oracle and BT announced a new partnership which allows customers to use features of BT Cloud Connect environment to gain direct connectivity to the Oracle Cloud.
The relationship between the two companies has been in place long-term, however was extended in 2011 when the pair announced a strategic partnership which allowed BT to sell wholesale calls, Ethernet and broadband products to Daisy’s customers. As part of the initial partnership, Daisy became a third party supplier of PBX telephone systems related maintenance and engineering services to BT.
“We are committed to supporting our customers and partners as the business digitisation journey continues to unfold,” said Neil Muller, CEO of Daisy Group. “This collaboration with BT ensures that we are at the forefront of providing the latest in cloud solutions, increasing customers’ levels of capability and confidence as they continue to manage the relentlessness of technological change. I am hugely proud of Daisy’s relationship with BT and this is a perfect opportunity to further enhance our capability and provide our customers and partners with an industry leading cloud solution.”
Image recognition startup joins Google in France
Google has continued its charge on the artificial intelligence market through purchasing French image recognition startup Moodstocks, reports Telecoms.com.
Moodstocks, founded in 2008, develops machine-learning based image recognition technology for smartphones, which has been described by developers as the ‘Shazam for images’. Financials of the agreement have not been confirmed to date.
“Ever since we started Moodstocks, our dream has been to give eyes to machines by turning cameras into smart sensors able to make sense of their surroundings,” Moodstock said on its website. “Today, we’re thrilled to announce that we’ve reached an agreement to join forces with Google in order to deploy our work at scale. We expect the acquisition to be completed in the next few weeks.”
Artificial intelligence is one of the focal points of the Google strategy moving forward, which was confirmed by Google CEO Sundar Pichai during the company’s recent earnings call, though the focus can be dated back to the $625 million DeepMind acquisition in 2014. Although DeepMind is arguably the most advanced AI system in the industry, Telecoms.com readers recently confirmed in a poll Google was the leader in the AI segment, it has seemingly been playing catch up with the likes of Watson and AWS whose offerings have been in the public eye for a substantially longer period of time.
The recognition tools are most likely to be incorporated into the Android operating system, though Moodstocks customers will be able to continue to use the service until the end of their subscription. Moodstocks will be incorporated into Google’s R&D centre in France, where the team will work alongside engineers who are focusing on the development of Youtube and Chrome, two offerings where there could be a link to the Moodstocks technology.
“Many Google services use machine learning (or machine learning) to make them simpler and more useful in everyday life – such as Google Translate, Smart Reply Inbox, or the Google app,” said Vincent Simonet, Head of R&D centre of Google’s French unit. “We have made great strides in terms of visual recognition: now you can search in Google Pictures such as ‘party’ or ‘beach’ and the application will offer you good pictures without you and have never needed to categorize them manually.”
Last month, Google also announced it was expanding its machine research team by opening a dedicated office in Zurich. The team will focus on three areas specifically, machine intelligence, natural language processing & understanding, as well as machine perception.
Elsewhere in the industry, Twitter completed the acquisition of Magic Pony last month reportedly for $150 million. Magic Pony, which offers visual processing technology, was one of the more public moves made by the social media network, which could be seen as unusual as the platform lends itself well to the implementation of AI. Microsoft also announced the purchase of Wand Labs, building on the ‘Conversation-as-a-Platform’ proposition put forward by CEO Satya Nadella at Build 2016.
Apple and SAP: All we can say is SAP developers, come to Apple!
Guest blog article from Michael Hülskötter. All we can say is: SAP developers, come to Apple! Some recent news is causing a stir in the business world. The established software provider SAP and Apple, renowned for trendsetting and design, are working together to provide future software developers with the right tools to build SAP-compatible mobile […]
The post Apple and SAP: All we can say is SAP developers, come to Apple! appeared first on Parallels Blog.
[session] Fog Computing | @ThingsExpo #IoT #M2M #BigData #FogComputing
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems.
In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today’s coding paradigm and share the must-have mindsets for removing complexity from the development process, accelerate application delivery times, and ensure that developers will become heroes (not bottlenecks) in the IoT revolution.
Orchestrate Your Infrastructure | @CloudExpo #IoT #Cloud #DigitalTransformation
The digital society has emerged.
Today’s always-connected world and the applications we interact with are changing the way we live. People are mobile, our devices are mobile, and by all accounts, everything that is a noun – a person, place or thing – will soon be connected and generating data… and all that traffic is destined for an application – that could also be portable – located somewhere in a data center.
[video] App Development with @CollabNet | @CloudExpo #APM #Cloud #Agile #DevOps
«We are a well-established player in the application life cycle management market and we also have a very strong version control product,» stated Flint Brenton, CEO of CollabNet,, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.