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  • user 3:35 pm on June 17, 2016 Permalink | Reply
    Tags: , , data, , , , , ,   

    Blockchain To Optimize and Secure Client Data Information – Part 1 

    As becomes increasingly powerful, meaningful and valuable, concerns over its security are on the rise. Indeed, ‘big data’ has become the recent buzz-term to describe the ever-expanding, often-unstructured nature of important , and has opened extensive discussions over how to approach ensuring data integrity is maintained.

     

    Data Security

    One of the primary appeals of is the security it provides, which prevents such data from being hacked. The data is fed into the system, where an encrypted code – known as a ‘hash’ value &; is created for each initial transaction. Unique hashes are then combined (which allows large amounts of data to be processed), before being placed onto the block’s header along with a timestamp. At this point, the header becomes of a cryptographic puzzle which must be solved by the blockchain’s network of users – through a trial and error process, from trillions of possibilities – before it is finally added to the blockchain. This layered system of security, therefore, is being sought after by industries in which information is of a highly personal and/or valuable nature.

     

    Blockchain application in healthcare

    One of the most eagerly anticipated applications of blockchain is in healthcare, an industry which has long needed to undergo data optimization. In late January 2015, US health insurance provider Anthem learned of a massive cyberattack to its IT system, which ended up compromising a staggering 80 million patient and employee records. Because only one entity was being used to keep records of sensitive client health information, all data became readily available to the hackers from this single source.

    The blockchain, however, uses cryptography to enable security in record-keeping, as well as sometimes using a system of ‘multi-signatures’, whereby gaining approval to the blockchain – and access to client data – requires the approval of several authorised users. Moreover, this can apply to all client data. Given the intensely private nature of such information, it requires the utmost protection, which blockchain can provide. Information relating to the client’s identity, medical history, specific diagnoses, treatments undergone and much more can thus be protected.

     

    US companies lead the early blockchain explorations in healthcare

    The US is currently leading the way in much of the early explorations, although the Dutch health giant Philips Healthcare is also investigating blockchain’s scope for use in the health industry. Little has been revealed about Philips’ project, other than it is in collaboration with Tierion, a start-up which is facilitating the collection and storage of big data on the blockchain. Tierion uses a system called chainpoint to ensure that all the data can be verified by blockchain receipts and timestamps. Meanwhile, California-based blockchain company Gem is also examining blockchain’s healthcare potential.

    Gem CEO Micah Winkelspecht believes blockchain’s true benefit will be realized once independent parties within the health industry can be connected to the ledger to manage the lifecycle of a hospital bill. The blockchain, therefore, could be used to manage payments for numerous parties, including “insurance companies, hospital billing departments, lenders, and patients”, and Winkelspecht is now in discussion with relevant stakeholders within the health industry to explore this possibility. From there, Winkelspecht attests that blockchain can then be used “to manage the lifecycle of a patient’s medical record”, among other uses.

    US blockchain company Factom, which is currently working with the Honduran government to provide greater security for the country’s land registry data, has also partnered with medical records and services solutions provider, HealthNautica, whose clients include hospitals and physicians, in order to use blockchain to enhance the security of medical records and achieve efficiency in claims processing. HealthNautica’s data, ranging from medical bills and client-physician communications to claims and disputes, will be cryptographically encoded by Factom, which produces a digital fingerprint of the data which is time-stamped and verified.

    Patient confidentiality is maintained throughout because at no point is client data seen by third parties, Factom included. HealthNautica president Shailesh Bhobe calls Factom’s blockchain the “perfect fit” for improving the security of its data, while board member Andrew Yaschuk believes that if health insurance companies are also educated on the merits of blockchain, all parties can be involved in verifying claims data while still protecting client confidentiality.

    The post Blockchain To Optimize and Secure Client Data Information &8211; Part 1 appeared first on Fintech Schweiz Digital Finance News – FintechNewsCH.

    Fintech Schweiz Digital Finance News – FintechNewsCH

     
  • user 3:35 pm on June 9, 2016 Permalink | Reply
    Tags: , , , , , data, , , , Reference,   

    Alex Batlin’s Briefing of Crypto 2.0 Musings – Standards and Reference Data Governance DAO 

    Last few weeks has seen the rise of The DAO &; an organization like no other. Part VC fund of about 170 million USD, part crowdfunding platform, part machine. The machine part is the novel piece of the puzzle &8211; effectively all of the of this new entity is done by smart contracts on Ethereum, so whereas before, humans outsourced worked to machines, the machines now outsource work to humans &8211; machines invite humans to fund them and then vote on, and monitor investments on their behalf.

    Read my PALE blog for more details behind the concept of distributed autonomous organizations.

    Whereas before, humans outsourced worked to machines, the machines now outsource work to humans

     

    Alex Baltlin | Ricardian Contracts

    Baltlin&;s &8211; Personal View

    Machine Governance makes better decisions

    Whilst the idea of machine governance is truly exciting, in the case of a VC fund, folks like BitShares, who have been running a less public but none the less similar scheme for a bit now, have raised concerns such as effective engagement &8211; people like the idea and invest in a fund, but do not have the time or expertise to manage it, so without a clear leader, good decision making is absent &8211; of course on the other hand we have seen plenty of leaders make very bad decisions and whole concept of crowd wisdom argues that even relatively uninformed people, in sufficient numbers will make better decisions than a well informed individual.

    The same concept of automated governance e.g. voting, can in my opinion be easily transplanted to many other areas, including bodies. Think open source foundations like Apache Software FoundationLinux FoundationEthereum Foundation and Bitcoin Foundation, or folks like International Organisation for Standardization (ISO) and BSI Group.

    Governance DAO solves managerial issues based on its smart contract

    Whilst standard setting activity is far less glamorous than managing a multi-million fund, in my opinion it faces a far smaller risk of rejection &8211; very few people I suspect get excited about operating governance procedures, so automation here is a form of pain relief. The other issue with blockchains today is lack of transaction amount privacy, which may be an issue for VC funds in some cases, but a must-have feature for a standards body.

    Assuming that either a standards body will be comfortable using virtual currencies or fiat money will be on-chained, a Governance DAO will even be able to manage it’s own funds to pay human staff wages, office leases etc.

    And here comes the double whammy &8211; if the standards body is managing , take ISO 4217 currency codes for example, both the codes and their metadata i.e. a living locally stored and replicated document, as well as governance rules like votes for change, can be managed on-chain by smart contracts.

    Any change is replicated in near real-time to anyone running a node, to make use of as appropriate inside their firewall. Given the importance of reference data and today’s reconciliation issues, a Governance DAO sounds to me like a great value proposition.

    Source: https://www.linkedin.com/pulse/crypto-20-musings-standards-reference-data-daos-alex-batlin

    The post Alex Batlin’s Briefing of Crypto 2.0 Musings – Standards and Reference Data Governance DAO appeared first on Fintech Schweiz Digital Finance News – FintechNewsCH.

    Fintech Schweiz Digital Finance News – FintechNewsCH

     
  • user 12:18 am on June 9, 2016 Permalink | Reply
    Tags: , , , , data, , , , ,   

    Alternative Data In ‘Early Adoption Phase’ for Asset Managers, BofA Says 

    The use of for management has grown in popularity, but the industry is far from a complete , Bina Kalola head of global strategic direct investments for global banking and markets at Bank of America, said during the Future of Conference this morning. “Data is beingRead More
    Bank Innovation

     
  • user 10:00 am on June 1, 2016 Permalink | Reply
    Tags: , data, ,   

    From FinTech to TechFin: Data is the New Oil. 

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    [Transcript of the Closing Keynote in Hanoi on May the 12th 2016]

    When I arrived in Hong Kong slightly over a year ago to build a Accelerator I knew I wanted to do three things.

    1. To inspire my generation to join or build a FinTech company
    2. To adapt myself to Asia, accepting that financial brands are global but financial behaviors are local.
    3. To embrace the fact that China will lead the world in terms of innovation.

    However, I wasn’t prepared to fully appreciate the difference between FinTech and TechFin. To me it was all about establishing a FinTech Hub, developing a FinTech regulatory Framework and measuring FinTech investment growth. Yet when I spoke to start-ups in China they kept telling me they didn’t consider themselves FinTechs, but instead were TechFins. I thought it was splitting hairs and miscommunication but it was more than that. It was a misunderstanding.

    We often quote Jack Ma for saying”

    “There are two big opportunities in the future financial industry. One is online banking, where all the financial institutions go online; the other is Internet finance, with is purely led by outsiders.”

    We read reports on China’s leadership in FinTech. Ant Financial valued at over US$50billion after a series B round. Tencent facilitating over 8 billion red envelopes to be shared in a day, up by 7 billion compared to the previous year. We know these facts but do we understand them?

    Let’s forget the Fin and Focus on the Tech. Breaking down what the BATs do. We essentially have:

    • Baidu connecting People with information
    • Alibaba connecting People with products
    • Tencent connecting People with People.

    Each of these companies have hundreds of millions of users, and for them FinTech is just a commoditized layer that is used to enhance their core product:

    Baidu can better sell information by letting you not only search for your favorite restaurant, but also handle the reservation of the table, the payment of the menu and the taxi ride back home.

    Alibaba can better sale products by facilitating express checkout via Alipay and can facilitate the number of products available by financing the SMEs that it knows will sale.

    Tencent can better connect people by splitting bills in a restaurant via WeChat Wallet or reconnecting families millions of kilometers apart during Chinese new year simply by digitizing Red-envelopes

    Each of this FinTech layers within their products is incredibly valuable and valuated, yet their growth is finite. There is only so many friends you will have, restaurants you will search and products you will buy. However, what is exponential is the information around your decision. What is valuable is not just the content, or the , but the context. The meta data. It is then that I learned the source of my misunderstanding.

    Money has been digitized and Now Data is monetized – this was my Eureka moment. Whilst the first part is about FinTech today, the second is about TechFin tomorrow. So let’s look at the consequences this has for our industry.

    Let’s break down the opportunity of TechFin across two sectors that have been said to replace : Internet Service Providers and E-Commerce Platforms.

    We often draw parallels between telco’s and bank’s. Both laid the infrastructure and risked to become dumb pipes to the Internet 2.0 companies like Facebook. Let’s stop and think what flows in this pipes? Data. Data that if properly understood can generate money. AOL increased its revenue by US$300 million, which was a 50% Increase in 1 quarter, “just” by adding data analytic from Verizon to its ISP business.

    What about E-commerce platforms? Sesame Credit in China is now used not just to originate loans, but to instead sell you non-financial products and services. Your credit score is an asset that can be traded for a better service, and the BATs are brokering that. They make money by taking a fee on selling a better hotel room as opposed to post more regulatory capital for originating a loan (note: this was in 2015!). In both case they used the same credit score.

    FinTech to TechFin represents a shifting trend that China has simply leapfrogged.

    We are going towards a new industrial epoch coined by Professor Klaus Schwab, who designated it the ‘Fourth Industrial Revolution.’ According to his book, the previous three eras had the following as juncture points: First, 1784 with the creation of the steam engine. Second, 1870 marked by the introduction of electricity, and third, 1969 signified the rise of communications and IT systems. 

    Today, we are entering an era of data analytics and artificial intelligence. These in turn transform data from simply a byproduct of human interaction into a core commodity for economic growth. Data has been designated ‘the new oil’ because it pushes companies to “find, extract, refine and monetize it.

    We are indeed at the beginning of a new cycle simply because less than 1% of the world’s data is analyzed, with over 80% is unprotected.

    Starting with Data Protection. From a regulatory perspective this creates a direct challenge. Data Privacy laws were designed with human in minds. However today this is irrelevant.

    “Computers can’t abstractly reason nearly as well as people, but they can process enormous amounts of data ever more quickly (if you think about it, this means that computers are better at working with meta-data than they are handling conversational data). […] Computing power is still doubling every eighteen months, while our species’ brain size has remained constant. Computers are already far better than people at processing quantitative data and they will continue to improve.” (Data & Goliath) 

    As for data analysis, deep learning is the new enabler. We all heard about Alpha Go beating world champion Lee Sedol. It is fascinating, however not fully disruptive.

    • Deep Mind is the start-up behind AlphaGo, acquired for GBP 242 Million in 2014.
    • Deep Blue was the IBM program started in 1985 that beats Garry Kasparov in 1997 at a cost of 5% of IBM Revenues
    • Watson beat the worlds best Jeopardy players in 2011 at a cost of US$ 1.8 billion

    If you want to run Watson software, irrespective of license cost you will need a US$1 million supercomputer? In other words – great headline but still very much boys with expensive toys.

    What is really disruptive is something else.

    • A university researcher has in 2015 taught in 72h its algorithm to go from 0 to win international chess tournament as part of its research project.

    In that example we have university resources matching a multimillion if not billion program. If we conceptualize it we are taking about commoditizing Deep Learning and AI and start-ups are already doing it.

    So here is the timeline of the future of FinTech:

    FinTech 1.0: Was about Infrastructure

    FinTech 2.0: Was about banks

    FinTech 3.0: What about Start-ups

    FinTech 4.0: Will be about TechFin

    The next time you look at your mobile phone don’t just use it for selfies. Realize that this item changed from a communication tool (3rd industrial revolution) to one of data collection and analysis (4th industrial revolution). You all hold the shift in your hands.

    Note: It can be debated that FinTech is just a service layer within the company value chain, especially as Ant Financial is an independent spin-off (but for transfering back 37% of profit to Alibaba).


    [linkedinbadge URL=”https://www.linkedin.com/in/jbarberis”off” mode=”icon” liname=”Janos Barberis”] is Millennial in FinTech | HKU Law | Founder FinTech HK & SuperCharger | Co-Editor The FinTech Book

     
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