June 10, 2026

Capitalizations Index – B ∞/21M

Fetch.AI’s “Economic Internet” Joins Cisco and Bosch in Trusted IoT Alliance

Fetch.AI’s “Economic Internet” Joins Cisco and Bosch in Trusted IoT Alliance

The distributed ledger and artificial intelligence startup Fetch.AI announced their induction into the Trusted IoT Alliance via a press release shared with BTCManager on February 7, 2019.

The community will work together to better grasp how large corporations such as Bosch, T-Labs, and Cisco can leverage an autonomous Internet of Things (IoT) to support an “economic internet.” Larger firms eager to build solutions generated from a trillion connected devices are actively turning to artificial intelligence to effectively manage all the data.

A More Intelligent Internet of Things

Fetch.AI’s induction to the Trusted IoT Alliance cements both the blockchain startup and the foundation’s desire to marry distributed ledger technologies with the growing IoT market. Not only that, but the AI proposed by Fetch.AI would also give economic agency to the network of connected machines.

CTO of Fetch.AI, Toby Simpson, told BTCmanager that their protocol would sit underneath IoT hardware and is an “economic internet” that would imbue a degree of autonomy between any internet-connected device. To secure such a network of devices, Simpson said:

It has its own unique blockchain that provides the performance and on-ledger computing required to operate such a large-scale decentralized network. This on-ledger computing puts the smart in smart contracts: enabling AI, including ML, to be usefully done and shared amongst network users in something we call ‘synergetic computing.’”

Synergetic smart contracts allow the decentralization of an automated agreement between multiple parties. In a related Medium post, the Fetch.AI team used the dispatching system from Uber as an example. With multiple devices and a centralized server, matching drivers with clients as well as coordinating between drivers become an isolated and highly-inefficient process. To resolve this, synergetic computing and a blockchain would provide an economic incentive for all drivers and clients to find the best solution for each party.

Replace the reward for mining a cryptocurrency, like bitcoin, with a token earned for optimally coordinating, and herein lies Fetch.AI’s thesis.

To complete the metaphor, switch Uber with the global mesh of IoT machines and the startup’s proposition takes on a much greater scale. On linking incompatible phones, thermostats, security systems, or vending machines, Simpson explained that the Fetch ecosystem allows all of these devices to “come to life” and interact with each other.

Attracting Blue Chip Companies

In the same way that Fetch.AI hopes to connect isolated parts of the IoT network, the Trusted IoT Alliance is looking to build bridges between incoming technology startups and established corporations. The executive board is made up of individuals from Bosch, Cisco, Gemalto, and Chronicled. The enterprise-facing consortium is attempting to enhance industries such as logistics, aviation, agriculture and much more.

On the specific advantages for Fetch.Ai, the Trusted IoT Alliance allows for open discourse between IoT providers, manufacturers, and DLT startups to ideate on how to better serve the above-mentioned industries. While he didn’t outline the specifics, Simpson did say that Fetch.AI was already in discussion “with a number of the large technology and manufacturing firms in the Alliance” to work through collaborative proof of concepts.

The future of the convergent markets looks to be more interconnected than previously anticipated. As everything from home appliances to smartphones absorbs and reacts to oceans of data, the need for an AI-entity becomes critical. Sorting through this data is only the first step, however. Unleashing the potential of the quantity of information and allowing that information to pass freely between devices will usher in a new era of the digital economy.

Fetch. Ai’s “economic internet” joins cisco and bosch in trusted iot alliance

Like BTCMANAGER? Send us a tip!
Our bitcoin [BTC] Address: 3AbQrAyRsdM5NX5BQh8qWYePEpGjCYLCy4

Published at Thu, 07 Feb 2019 09:05:04 +0000

Previous Article

Bootstrap a Blockchain career | Programmer explains

Next Article

What is Blockchain? | Technology behind ₿itcoin

You might be interested in …

Study: Late 2013 Bitcoin Bubble Fueled by Suspicious Trading Activity on Mt. Gox

Study: Late 2013 Bitcoin Bubble Caused by Suspicious Trading Activity on Mt. Gox

According to a recent study by researchers from the University of Tulsa and Tel Aviv University, the massive increase in the bitcoin price in late 2013 was caused by suspicious trading activity on the now-defunct Mt. Gox bitcoin exchange. The study, which is titled “Price Manipulation in the bitcoin Ecosystem,” indicates that 600,000 bitcoins were acquired by agents who did not pay for them, and the bitcoin price rose by an average of $20 on days when the suspicious trading activity took place.

“Based on rigorous analysis with extensive robustness checks, we conclude that the suspicious trading activity caused the unprecedented spike in the USD-BTC exchange rate in late 2013, when the rate jumped from around $150 to more than $1,000 in two months,” the study states.

At the center of the study is the infamous Willy bot that was first publicized on a Wordpress blog back in May of 2014.

The paper details the data used for the study, identifies the suspicious trading activity and notes that these sorts of manipulative practices may still be possible today, especially in the altcoin markets.

The Data Used for the Study

This study regarding price manipulation in the bitcoin markets is based on a data leak of CSV files that included the trading activity on Mt. Gox from April 2011 to November 2013. The researchers behind the study then supplemented that data with more information from bitcoincharts.com.

“We performed additional sanity checks of the data utilizing publicly available historical Mt. Gox trading data from bitcoincharts.[com],” reads the report. “We are confident that the data are high-quality.”

Suspicious Trading Activity

In the leaked data, the report notes that there are suspicious accounts in which the country and state fields are filled in as “??” Many red flags are then found upon further inspection of these accounts.

In the case of one account dubbed “Markus,” the report states that no trading fees are paid and the prices on trades are seemingly random.

“In the end, we have concluded that Markus did not actually pay for the bitcoins he acquired; rather, his account was fraudulently credited with claimed bitcoins that almost certainly were not backed by real coins,” states the report. “Furthermore, because transactions were duplicated, no legitimate Mt. Gox customer received the fiat currency Markus supposedly paid to acquire the coins.”

According to the study, Markus acquired a total of 335,898 bitcoins in the 225 days the account was active.

Screenshot 2017-07-10 at 8.11.23 PM.png

Another entity noted by the study is known as “Willy”; however, Willy controlled many different accounts. According to the study, Willy appeared roughly seven hours after Markus became inactive.

The data cited by the report indicates that Willy would purchase 10–19 bitcoins at a time until an amount equal to $2.5 million worth of bitcoins had been purchased. Willy would then make a new account and repeat the process.

The study notes that there are indications that the owner of the Willy accounts was a Mt. Gox insider. For example, Willy was able to trade while the Mt. Gox API was offline, and the user ID numbers used by Willy were high for the time period they existed.

The study on price manipulation in the bitcoin ecosystem indicates that Willy acquired 268,132 bitcoins in exchange for $112 million. Much like Markus, Willy did not actually pay for his bitcoins.

“Hence, together, these unauthorized traders ‘acquired’ around 600,000 bitcoins by November 2013,” says the study. “Perhaps unsurprisingly, this is very close to the number of bitcoins (650,000) that Mt. Gox claimed to have lost when it folded in early 2014.”

According to the study, Markus accounts for 12 percent and Willy accounts for 6 percent of the total trade volume on the four major bitcoin exchanges on the days they were active.

In addition to the possibility of an inside job, the study also notes that an early bitcoin adopter could have artificially driven up the bitcoin price via a security vulnerability on the exchange in an effort to increase the value of his or her own holdings.

“We do not know for sure which, if either, of these scenarios reflect what actually happened,” says the report. “But that is largely beside the point. Our goal is to demonstrate that these fraudulent trades did in fact significantly impact the price of bitcoin.”

According to the New York Times, former Mt. Gox CEO Mark Karpeles admitted to operating the Willy bot in a Japanese court on Tuesday.

Altcoins Open to Manipulation

The researchers behind the study indicate that the importance of price manipulation in digital asset markets will increase as this technology continues to go mainstream. The study indicates that many altcoins are open to this same kind of price manipulation right now.

“Similar to the bitcoin market in 2013 (the period we examine), markets for these other crytocurrencies are very thin,” says the report. “Our analysis suggests that manipulation is quite feasible in such settings.”

Civic CEO Vinny Lingham shared a similar sentiment during a recent talk where he compared altcoins to pump-and-dump penny stocks. “With altcoins, [pump-and-dump schemes] are super easy,” said Lingham.

“Regulators may want to begin taking an active oversight role as the bitcoin ecosystem becomes more integrated into international finance and payment systems,” concludes the study.

The post Study: Late 2013 Bitcoin Bubble Fueled by Suspicious Trading Activity on Mt. Gox appeared first on Bitcoin Magazine.