The Data Sharing of Healthcare
December 8, 2016
Machine learning tools like the artificial intelligence Watson from IBM can and will improve healthcare access and diagnosis, but the problem is getting on the road to improvement. Implementing new technology is costly, including the actual equipment and training staff, and there is always the chance it could create more problems than resolving them. However, if the new technology makes a job easier and resolves situations then you are on the path to improvement. The UK is heading that way says TechCrunch in, “DeepMind Health Inks New Deal With UK’s NHS To Deploy Streams App In Early 2017.”
London’s NHS Royal Free Hospital will employ DeepMind Health in 2017, taking advantage of its data sharing capabilities. Google owns DeepMind Health and it focuses on driving the application of machine learning algorithms in preventative medicine. The NHS and DeepMind Health had a prior agreement in the past, but when the New Scientist made a freedom of information request their use of patients’ personal information came into question. The information was used to power the Streams app to sent alerts to acute kidney injury patients. However, ICO and MHRA shut down Streams when it was discovered it was never registered as a medical device.
The eventual goal is to relaunch Streams, which is part of the deal, but DeepMind has to repair its reputation. DeepMind is already on the mend with the new deal and registering Streams as a medical device also helped. In order for healthcare apps to function properly, they need to be tested:
The point is, healthcare-related AI needs very high-quality data sets to nurture the kind of smarts DeepMind is hoping to be able to build. And the publicly funded NHS has both a wealth of such data and a pressing need to reduce costs — incentivizing it to accept the offer of “free” development work and wide-ranging partnerships with DeepMind…
Streams is the first step towards a healthcare system powered by digital healthcare products. As already seen is the stumbling block protecting personal information and powering the apps so they can work. Where does the fine line between the two end?
Whitney Grace, December 8, 2016
Nasdaq Joins the Party for Investing in Intelligence
April 6, 2016
The financial sector is hungry for intelligence to help curb abuses in capital markets, judging by recent actions of Goldman Sachs and Credit Suisse. Nasdaq invests in ‘cognitive’ technology, from BA wire, announces their investment in Digital Reasoning. Nasdaq plans to connect Digital Reasoning algorithms with Nasdaq’s technology which surveils trade data. The article explains the benefits of joining these two products,
“The two companies want to pair Digital Reasoning software of unstructured data such as voicemail, email, chats and social media, with Nasdaq’s Smarts business, which is one of the foremost software for monitoring trading on global markets. It is used by more than 40 markets and 12 regulators. Combining the two products is designed to assess the context, content and relationships behind trading and spot signals that could indicate insider trading, market manipulation or even expenses rules violations.”
We have followed Digital Reasoning, and other intel vendors like them, for quite some time as they target sectors ranging from healthcare to law to military. This is just a case of another software intelligence vendor making the shift to the financial sector. Following the money appears to be the name of the game.
Megan Feil, April 6, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The Encrypted Enterprise Search
February 3, 2016
Another enterprise software distributor has taken the leap into a proprietary encrypted search engine. Computer Technology Review informs us that “VirtualWorks Releases Its Encrypted Enterprise Search Platform ViaWorks Built On Hitachi Technology.” VirtualWorks’s enterprise search platform is called ViaWorks and the company’s decision to release an encrypted search engine comes after there has been a rise in data security breaches as well as concern about how to prevent such attacks. We will not even mention how organizations want to move to the cloud, but are fearful of hacking. More organizations from shopping in person on the Internet, banking, healthcare, government, and even visiting a library use self-service portals that rely on personal information to complete tasks. All of these portals can be hacked, so trade organizations and the government are instituting new security measures.
Everyone knows, however, that basic rules and a firewall are not enough to protect sensitive information. That is why companies like VirtualWorks stay one step ahead of the game with a product like ViaWork built on Hitachi’s Searchable Encryption technology. ViaWorks is a highly encrypted platform that does not sacrifice speed and accuracy for security
“ViaWorks encrypted enterprise search features are based on AES, a worldwide encryption standard established by NIST; special randomization process, making the encrypted data resistant to advanced statistical attacks; with key management and encryption APIs that store encryption keys securely and encrypt the original data. ViaWorks provides key management and encryption APIs that store encryption keys securely and encrypt the original data, respectively. Users determine which field is encrypted, such as index files, search keyword or transaction logs.”
VirtualWorks already deployed ViaWorks in beta tests within healthcare, government, insurance, and finance. Moving information to the cloud saves money, but it presents a security risk and slow search. A commercial encrypted search engine paired with cloud computing limits the cyber risk.
Whitney Grace, February 3, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
CEM Platform Clarabridge 7 Supports Silo Elimination
November 10, 2015
The move to eliminate data silos in the corporation has gained another friend, we learn in Direct Marketing News’ piece, “Clarabridge Joins the Burn-Down-the-Silos Movement.” With their latest product release, the customer experience management firm hopes to speed their clients’ incorporation of business intelligence and feedback. The write-up announces:
“Clarabridge today released Clarabridge 7, joining the latest movement among marketing tech companies to speed actionability of data intelligence by burning down the corporate silos. The new release’s CX Studio promises to provide users a route to exploring the full customer journey in an intuitive manner. A new dashboard and authoring capability allows for “massive rollout,” in Clarabridge’s terms, across an entire enterprise.
“Also new are role-based dashboards that translate data in a manner relevant to specific roles, departments, and levels in an organization. The company claims that such personalization lets users take intelligence and feedback and put it immediately into action. CX Engagor expedites that by connecting business units directly with consumers in real time.”
We have to wonder whether this rush to “burn the silos” will mean that classified information will get out; details germane to a legal matter, for example, or health information or financial data. How can security be applied to an open sea of data?
Clarabridge has spent years developing its sentiment and text analytics technology, and asserts it is uniquely positioned to support enterprise-scale customer feedback initiatives. The company maintains offices in Barcelona, London, San Francisco, Singapore, and Washington, DC. They also happen to be hiring as of this writing.
Cynthia Murrell, November 10, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
University Partners up with Leidos to Investigate How to Cut Costs in Healthcare with Big Data Usage
October 22, 2015
The article on News360 titled Gulu Gambhir: Leidos Virginia Tech to Research Big Data Usage for Healthcare Field explains the partnership based on researching the possible reduction in healthcare costs through big data. Obviously, healthcare costs in this country have gotten out of control, and perhaps that is more clear to students who grew up watching the cost of single pain pill grow larger and larger without regulation. The article doesn’t go into detail on how the application of big data from electronic health records might ease costs, but Leidos CTO Gulu Gambhir sounds optimistic.
“The company said Thursday the team will utilize technical data from healthcare providers to develop methods that address the sector’s challenges in terms of cost and the quality of care. Gulu Gambhir, chief technology officer and a senior vice president at Leidos, said the company entered the partnership to gain knowledge for its commercial and federal healthcare business.”
The partnership also affords excellent opportunities for Virginia Tech students to gain real-world, hands-on knowledge of data research, hopefully while innovating the healthcare industry. Leidos has supplied funding to the university’s Center for Business Intelligence and Analytics as well as a fellowship program for grad students studying advanced information systems related to healthcare research.
Chelsea Kerwin, October 22, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Lexmark, a Printer Supply Company, Receives Hold Rating from Analysts
October 20, 2015
The article on Dakota Financial News titled Lexmark International Given Average Recommendation of “Hold” by Brokerages (NYSE: LXK) piles on the bad news for Lexmark, a company best known for its printer supply services. It is a tough time to be in the printing business, and Lexmark has received numerous analyst ratings of “Hold” and “Sell.” The article details the trend,
“Lexmark International (NYSE:LXK) traded down 0.59% during trading on Wednesday, hitting $28.59. The company had a trading volume of 259,296 shares. Lexmark International has a one year low of $27.22 and a one year high of $47.69. The stock has a 50-day moving average of $30.27 and a 200 day moving average of $39.70. The company’s market capitalization is $1.76 billion…The company reported $0.97 earnings per share (EPS) for the quarter, beating analysts’ consensus estimates of $0.85 by $0.12. “
Certainly not a vote of confidence in Lexmark, which owns both Brainware and ISYS Search Software. The article goes into some detail about the companies other work beyond printer supplies including enterprise content and process management software and healthcare archive with integration abilities for unstructured patient information. Perhaps these extras are saving the company from falling entirely into the “sell” category and maintaining at “Hold.”
Chelsea Kerwin, October 20, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Brand-New Watson Health Unit Has Boston Buzzing
September 17, 2015
The article titled IBM Watson Health Unit Begins to Take Shape on TechCrunch investigates the work being done to initiate the new healthcare unit in Boston and surrounding community that IBM hopes to use to address major issues in healthcare. Already this year IBM has purchased and partnered with numerous companies in the field. Recently, Boston Children’s Hospital joined the list as well as Apple and Johnson & Johnson. The article states,
“As part of today’s broad announcement, IBM indicated that it would be working with Sage Bionetworks’ Open Biomedical Research Platform around the first Apple projects. Sage will be collecting information from Apple Devices using ResearchKit developer tools, initially with breast cancer and Parkinson’s patients. It will be aggregating storing, curating and analyzing the information coming in from the Apple Devices. IBM will be providing the underlying technology with its IBM Watson Health Cloud platform.”
Additionally, IBM Watson Health Cloud for Life Science Compliance was also announced, as the cherry built on top of IBM Softlayer. It is designed to aid companies in the life science industry with a fully compliant cloud solution capable of meeting the demands of the heavily regulated field. Not mentioned in the article is any mention of what the revenues are for this Health Unit initiative, as if they are entirely irrelevant.
Chelsea Kerwin, September 17, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Datameer Declares a Celebration
September 8, 2015
The big data analytics and visualization company Datameer, Inc. has cause to celebrate, because they have received a huge investment. How happy is Datameer? Datameer’s CEO Stefan Groschupf explains on the company blog in the post, “Time To Celebrate The Next Stage Of Our Journey.”
Datameer received $40 million in a round of financing from ST Telemedia, Top Tier Capital Partners, Next World Capital, Redpoint, Kleiner Perkins Caufield & Byers, Software AG and Citi Ventures. Groschupf details how Datameer was added to the market in 2009 with the vision to democratize analytics. Since 2009, Datameer has helped solve problems across the globe and is even helping make it a better place. He continues he is humbled by the trust the investors and clients place in Datameer, which feeds into the importance of analytics for not only companies, but also anyone who wants supportable truth.
Datameer has big plans for the funding:
“We’ll be focusing on expanding globally, with an eye toward APAC and Latin America as well as additional investment in our existing teams. I’m looking forward to continuing our growth and building a long-term, sustainable company that consistently provides value to our customers. Our vision has been the same since day one – to make big data analytics easy for everyone. Today, I’m happy to say we’re still where we want to be.”
Datameer was one of the early contenders in big data that always managed to outshine and outperform its bigger name competitors. Despite its record growth, Datameer continues to remain true to its open source roots. The company wants to make analytics available to every industry and everyone. What is incredibly impressive is that Datameer has numerous applications for its products from gaming to healthcare, which is usually unheard of. Congratulations to Datameer!
Whitney Grace, September 8, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
How to Use Watson
August 17, 2015
While there are many possibilities for cognitive computing, what makes an idea a reality is its feasibility and real life application. The Platform explores “The Real Trouble With Cognitive Computing” and the troubles IBM had (has) trying to figure out what they are going to do with the supercomputer they made. The article explains that before Watson became a Jeopardy celebrity, the IBM folks came up 8,000 potential experiments for Watson to do, but only 20 percent of them.
The range is small due to many factors, including bug testing, gauging progress with fuzzy outputs, playing around with algorithmic interactions, testing in isolation, and more. This leads to the “messy” way to develop the experiments. Ideally, developers would have a big knowledge model and be able to query it, but that option does not exist. The messy way involves keeping data sources intact, natural language processing, machine learning, and knowledge representation, and then distributed on an infrastructure.
Here is another key point that makes clear sense:
“The big issue with the Watson development cycle too is that teams are not just solving problems for one particular area. Rather, they have to create generalizable applications, which means what might be good for healthcare, for instance, might not be a good fit—and in fact even be damaging to—an area like financial services. The push and pull and tradeoff of the development cycle is therefore always hindered by this—and is the key barrier for companies any smaller than an IBM, Google, Microsoft, and other giants.”
This is exactly correct! Engineering is not the same as healthcare and it not all computer algorithms transfer over to different industries. One thing to keep in mind is that you can apply different methods from other industries and come up with new methods or solutions.
Whitney Grace, August 18, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
How to Use Watson
August 7, 2015
While there are many possibilities for cognitive computing, what makes an idea a reality is its feasibility and real life application. The Platform explores “The Real Trouble With Cognitive Computing” and the troubles IBM had (has) trying to figure out what they are going to do with the supercomputer they made. The article explains that before Watson became a Jeopardy celebrity, the IBM folks came up 8,000 potential experiments for Watson to do, but only 20 percent of them.
The range is small due to many factors, including bug testing, gauging progress with fuzzy outputs, playing around with algorithmic interactions, testing in isolation, and more. This leads to the “messy” way to develop the experiments. Ideally, developers would have a big knowledge model and be able to query it, but that option does not exist. The messy way involves keeping data sources intact, natural language processing, machine learning, and knowledge representation, and then distributed on an infrastructure.
Here is another key point that makes clear sense:
“The big issue with the Watson development cycle too is that teams are not just solving problems for one particular area. Rather, they have to create generalizable applications, which means what might be good for healthcare, for instance, might not be a good fit—and in fact even be damaging to—an area like financial services. The push and pull and tradeoff of the development cycle is therefore always hindered by this—and is the key barrier for companies any smaller than an IBM, Google, Microsoft, and other giants.”
This is exactly correct! Engineering is not the same as healthcare and it not all computer algorithms transfer over to different industries. One thing to keep in mind is that you can apply different methods from other industries and come up with new methods or solutions.
Whitney Grace, August 7, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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