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This is what fitness sounds like. Lianna made the startups to tech in blockchain He has more than 20 years of experience in the telecommunications technology data communications industry. Tilr matches applicants with companies based solely on skills, rather than technology job titles. One innovative approach is to split the blockchain process into two distinct blockchain Prior to joining IBM inJeff led product, solution and engineering teams for Startups focused on edge data cloud and OpenStack-based private cloud storage, virtual storage appliances, Hadoop analytics, storage area networks, and customer services operations.
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That would mean vehicle hire, insurance companies, ride-sharing and others could be connected to create a network of transport-related data resources. Wildix When his parents bought him his first computer at age 11, he quickly became an information technology enthusiast. Bill is focused on cross-platform integration within ConsenSys. Ryan has been with Trend Micro since , responsible for planning and carrying out global marketing strategy for the managed service provider. Maurice has been published on cbssports. He leads cross-portfolio and partner solution strategy, development, offering models and go-to-market activities with a focus on multicloud and analytics capabilities for the enterprise.
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In zCash, we have a cryptocurrency where token transactions are fully encrypted and not revealed to validating nodes, so we retain privacy and technology. Do you know if they make any plugins to safeguard against hackers? In his role at Kallastra, Frederic gained significant experience in worldwide Blockchain and Marketing including Europe and Asia while managing operations. Don't miss a single startups I would like to receive the following emails: This allowed paul to light up both large and small buildings at a very low cost. With previous blockchain at Alcatel-Lucent now NokiaNovation, and ACTIVE Network, Startups excels in identifying and championing new market and product opportunities, technology positioning and messaging, and executing on business strategy.
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Kenji E. Kushida, PhD
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My Five Priorities for Creators in YouTube combats fake news by calling out government-backed sources. YouTube to start labeling videos posted by state-funded media.
Hold on to your tinfoil hat, Alex Jones. YouTube is coming for you. There's a problem with YouTube's new anti-propaganda initiative. YouTube is rolling out funding notices for more transparency in news reporting. YouTube will start labeling videos from state-funded broadcasters. For the first time ever, I can say I'm actually impressed with YTCreators' response to long-standing creator complaints.
The constant badgering is finally paying off. Now let's see you follow through, YT. Expand More For Next 2. Unexpand More For Next 2. Greater transparency for users around news broadcasters. To fight propaganda, YouTube will now label state-funded news broadcasts in the U. YouTube labels news videos that have received government funding. In transparency push, YouTube to label government-funded news channels. YT's top priorities for creators are: Supporting Your Success 3.
Did they harm Hillary Clinton's bid for the presidency? A fascinating, important in-depth investigation of how YouTube's recommendation algorithm apparently functioned in the election: Ripcord CEO faces allegations of improper behavior.
Well done on writing this truly horrifying account of getripcord, Perry Coneybeer perryripcord. Silicon Valley, this is the culture year-old girls wanting to work in tech walk into. And you think lack of women in tech is because men are better at it?
For the record, Ms. Coneybeer is welcome at any of our startups any time she's ready again. Honesty and bravery are not negatives http: Investors and board members of ripcord, what are you going to do about the CEO and culture?
Perry is also a hero - she didn't sign the separation agreement as it included a non-disparagement clause. She wanted to get the story out. I linked to the BusinessInsider article as it corroborates her story with others but for her original post: Bank of America to bar customers buying cryptocurrencies with credit cards. JPMorgan, Bank of America ban crypto purchases with credit cards. Tilr recognizes that even though the economy is changing, the basic needs of employees are not.
Qualtrics is a software company that allows users to collect and analyze data online for a range of purposes. And the company is already interested in giving back: Dug Song, Jon Oberheid. Duo Security is a cybersecurity company specializing in business networks. We need to make the process simpler, smarter and more secure. Duo specializes in cybersecurity that anyone can easily use, thus making companies less vulnerable as technology evolves quickly.
Pindrop is another cybersecurity company, working in a very different area. Pindrop specializes voice recognition technology. This fraud detection and security startup can analyze and recognize your voice — even over the phone. Pindrop can also determine whether a voice is real or computer-generated.
Investor Martin Casado believes that voice recognition is an untapped market that will only grow. As phone systems increase automation, many banks, retailers, and insurance carriers already use Pindrop.
Laura Behrens Wu, Simon Kreuz. Shippo is a shipping solution that seeks to level the playing field between Amazon and smaller online retailers. Shippo, however, makes it easier. EBay Canada recently selected Shippo to power its shipping. A potential weakness of this approach is that nodes may collude to piece together the data. The hottest topic in cryptography right now is zero knowledge proofs.
These are very limited mathematical functions that can be performed on fully encrypted data while it remains in encrypted form such that results can be validated without exposure to the unencrypted data.
This potentially allows different nodes to run limited computational in a smart contract without revealing encrypted data to those nodes. This technology is a game changer, in that it potentially allows execution of smart contracts on encrypted data. If a privacy key is used to sign a transaction, and everyone on the network can check that a specific key was used to sign a transaction, this implies that everyone can see the volume of transactions that a key has signed.
In a network where there are dominant parties, it might be relatively straight forward to identity the key belonging to specific parties based on transaction volumes. One solution to this is transaction level keys.
This involves a key issuing authority centralised, although there may be a number of these that generates a different key for each transaction from a core private key. The mapping between the core key and transaction keys is never revealed to the other participants — they only see the individual transactions keys.
A simple version of smart contracts is included in Bitcoin. This implementation is more of a scripting paradigm where additional logic and conditions can be attached to a payment transaction — the classic example is multi-sig — requiring multiple signatures before a transaction is executed. This type of model is extremely useful if we are simply adding a set of one or more stateless conditions to a transaction. The advantage of this model is that it is very simple. A more complex smart contracts paradigm is the one implemented in Ethereum https: In this case a smart contract also has the ability to store data on chain.
The next transaction can then pick up the data as its as frozen after the last transaction and introduce the next change, and so on. At any point we can traverse the blockchain and wonder through the previous states, seeing the data as it was before and after every change introduced in a transaction. The advantage of this model is that we can actually use the blockchain as database, where blockchain transactions change the data.
This final point is still very controversial. The latter option maintains state integrity, while allowing us to access the data directly. Ethereum and Bitcoin are designed as public open chains. As we do not trust any other party on the system, we need to trust the system, i. The code must therefore be revealed to all parties, be it the underlying blockchain platform code, which is open source, or individual smart contracts, which must be visible to all parties partaking in a transaction workflow.
In private blockchain implementations where privacy is required, that privacy can be applied to the data, but it could also be provided for the smart contract source code. Meaning that if I hold a node in a private blockchain network, even though I hold all of the smart contracts and ledger data, some of the contract source code is encrypted, and I therefore cannot see nor execute the code.
This reduces the number of parties that can attest that a contract was executed as planned — because only those parties involved in the transactions can decrypt the smart contract, execute it and validate it. Blockchains started as cryptocurrencies, even though they have now also evolved into general purpose distributed databases and state machines.
Incidentally, it is my own personal belief that we will eventually come full circle, as most of the non-cryptocurrency use cases that we are looking at today will ultimately require some form of payment or token exchange, and if this could be implemented on-chain this would very, very efficient whether as fiat currency represented in tokenised form on a ledger, or a regulated cryptocurrency. As such, the public blockchain source code that many of us are using today includes a native token implementation e.
Bitcoin, Ether in Ethereum. Ethereum even offers a smart contract Token standard https: If the platform has a native cryptocurrency, then the first approach, of using the native token mechanisms inherent in the platform should really only be used when using the public token the platform i. This is because the mechanisms of generating tokens are tied to cryptocurrency incentive schemes e. Proof of Work, Proof of Stake. If the native token implementation is not tied to cryptocurrency mechanisms, then this should be explored.
Similarly, non-native token schemes such as the Ethereum smart contract Token standard offer great flexibility as well as support by external, third party and open wallet software.
In cryptocurrency token platforms, native tokens are created by the blockchain through proof of work mining. In zCash, we have a cryptocurrency where token transactions are fully encrypted and not revealed to validating nodes, so we retain privacy and anonymity. The solution provides reassurance that the tokens were not created out of thin air, nor double spent without ever revealing any information about the accounts involved in the transactions, nor the origin of the token.
In a fiat currency banking system cash is issued by a central bank. For fiat currency to be issued on a blockchain, we would require full transparency and provenance of the token in order to ascertain that a token was not created out of thin air by anyone other than the central bank, and that it has not been double spent. However, in a fiat currency blockchain solution, we would require data privacy and anonymity banks do not wish to reveal their level of activity, nor their customer data , therefore the data will either need to be encrypted, or shared only with the transacting counter-parties, and possibly one or more notaries.
In either case, for anyone receiving this token, and wishing to validate its provenance, a reassurance of its provenance will be required, and this implies revealing the entire history of that token. This implies providing that party the ability to decrypt or have access to every historical transaction involving that token since it was minted.
This implies that details of each transaction will need to be shared with many more parties, going forward, than simply those that are party to the transaction itself, OR, proof of provenance will need to be provided without revealing the historical data nor the parties involved.
This problem applies to any token, asset or data that requires both privacy and provenance. Fully functional, traditional blockchain stacks are relatively slow in this regard. Below are three approaches being looked at to improve scalability:. One innovative approach is to split the blockchain process into two distinct layers: The latter has already been solved for big data stores that can scale across large synchronised clusters of servers.
Consensus algorithms, such as RAFT https: The second part is chaining. This can be added on top of a clustered big data store to produce a super fast and scalable clustered store of chained data. An example of this is BigChainDB https: By default, blockchains require each node to store a complete replica of all transactions and data. This can be the source of scalability issues, especially in use cases requiring large volumes of transactions and data, or where we look at consolidating a number of application on to a chain.
If transactions and data are only shared with parties to the transaction, and possibly one or more notaries, then the volume of data stored by each node is a fraction of the overall volume of transactions and data on the network. This obviously allows the network as a whole to process much larger volumes of transactions. A very different approach to scalability is side chains.
In this approach a number of chains are integrated, where one or more chains are considered the main chains, while others are considered side chains also known as channels. The idea is that the main chain or chains are slower, as they require robust consensus over a large network of participants.
In the meantime the side chains provide weaker integrity and immutablity, and the consensus is across a much smaller group, but they can transact at much higher speeds and volumes. The two can be combined by regularly aligning at intervals.
Economic, corporate, and regulatory requirements are such that most blockchain projects are designed and implemented on private blockchain networks. This is fine in the short term, and may well be the way things remain for a very long time. This immediately raises questions about ledger interconnectivity. For example, what if we have two competitive ledger solutions within the same industry solving the same problem — could the two solutions interconnect? Or what if an organisation is using two complementary solutions that reside on different technology platforms and networks.
Or what if a very powerful organisation or group consolidates all of its distributed ledger activity on to a single technology platform, and forces anyone that deals with it onto that platform? Could different platforms talk to each other?
The short answer is yes, technically this is possible. However, whether it is efficient or desirable is another matter. There are already a number of emerging technical solutions out there to solve ledger interconnectivity. It was primarily designed to allow the Ripple network to connect directly to other blockchain networks so that tokens of value could be exchanged across the networks.
This does solve the problem for tokens. However, many blockchain solutions are not token based.