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The future of cryptocurrency – Lexology

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The future of cryptocurrency

2019 demonstrated that there is clearly agrowing appetite for cryptocurrencieswith Bitcoin reaching $1bn in cumulative transaction fees on its eleventh anniversary as the worlds first cryptocurrency.

Facebooks newly announced virtual currency Libra has caused a storm of inquiries and concern amongst regulators globally. Its important to understandthe challenges posed by this audacious new digital currency. Will this bethe currency of the future or could it be considered a modern day cartel?

What are the tax implications of cryptocurrencies? Find out what tax authorities in theUSAand theUKare saying.

There is no doubt that cryptocurrencies will continue to develop and grow in 2020, but this will bring more uncertainty for regulators and for businesses worldwide.

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Analyst: Bitcoin Will Skyrocket to $100,000 in 24 Months and Theres Nothing You Can Do About It – CCN.com

Bitcoins recent bullish price action is giving new life to crypto enthusiasts. The crypto token is up over 12% year-to-date. While the gains are not as impressive as they sound, the technical ramifications of bitcoin trading above $8,000 is whats important. To many bulls, this is an indication that the king of cryptocurrencies has already bottomed out.

As bulls come out of hibernation, there are those who are giving their fearless forecasts on how high bitcoin will fare in the next few years. Some are sharing conservative targets around $12,000 by the end of 2020. Then, theres one trader who believes that bitcoin will soar to $100,000 in 24 months.

Do you think that bitcoin can surge over 1,130% in the next two years? Whether you believe its possible or not, it doesnt matter according to trader Bitcoin Macro. The position trader took to Twitter to share his ultra bullish prediction on the top cryptocurrency. The analyst boldly said that the coin will breach $100,000 in a couple of years.

Many of his followers were quick to dismiss his forecast. User Don Barafranca replied that Bitcoin Macro is not thinking straight.

Others gave Bitcoin Macro the benefit of the doubt. They wished that the analyst supported his outrageous call with facts or analysis.

If you look at the historical performance of bitcoin after every halving, you would realize that Bitcoin Macros prediction is not so far-fetched. The top cryptocurrency rose from $12.31 at the price of the first halving to $994.21 at the all-time high of the reward era. At the time, the cryptocurrency surged 7,976%.

Furthermore, bitcoin stunned critics and naysayers as it catapulted from $650.63 to an all-time high of $19,535.70 after the second halving. Gains of more than 1,130% is within the realm of possibility.

Analyst dave the wave also believes that the cryptocurrency will move above $100,000 in the coming years. Even if the law of diminishing returns kicks in, the cryptocurrency would still ignite a face-melting bull run.

While bitcoin looks bullish, some top names in the industry are keeping their expectations conservative. Mike Novogratz, chief executive of crypto investment firm Galaxy Digital, predicts that bitcoin will end 2020 at $12,000. Fundstrat founder Thomas Lee says that the cryptocurrency will likely generate gains above 100% this year.

Only in bitcoin will you hear possible gains of 100% and people still call it conservative. The historical performance of the number one cryptocurrency has captured the imagination of both investors and speculators. Whether it goes above $100,000 or not, theres likely a possibility of raking in profits in the next few years. Of course, thats a classic high-risk, high-reward tradeoff.

Disclaimer: The above should not be considered trading advice from CCN. The writer owns bitcoin and other cryptocurrencies. He holds investment positions in the coins but does not engage in short-term or day-trading.

This article was edited by Sam Bourgi.

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Cryptocurrency Slowly Recovers as Buyers Fail to Emerge – Coin Idol

Jan 13, 2020 at 08:58 // News

This week Monero and Bitcoin SV are performing creditably as the coins are trading above the EMAs. In their respective moves, the coins are facing resistance at a higher price level. This is largely due to a lack of buying power to push the coin upward. Maker is the only coin that had been in a sideways move since April. Lastly, Stellar and Binance Coin's selling pressure has overdone.

The erstwhile bear market of Monero is presumed to have been terminated. On January 3, the resistance line was breached and the price closed over it. This signifies that the downtrend has been terminated. Monero has already resumed an upward move. It is below the resistance at $60 as the bulls fail to break over it.

The pair has long been in a downtrend and selling pressure has been overdone. At the $0.043 low, bulls are supposed to take possession of the price. Insufficient buyers at the lower levels of price have caused the inability of price upward movement. Nonetheless, XLM had been consolidating over $0.043low since December 17. XLM will retest the $0.06 resistance if the EMAs are breached. Presently, the Fibonacci indicates that XLM ought to have been reversed at the 1.272 extension level.

Maker had been in a sideways move since April 2019. At present, it is fluctuating between $400 and $700. Interestingly, the bears still have an upper hand as Maker trades beneath $500. Maker is currently at the overbought area of the daily stochastic. It shows that Maker is in bullish momentum. When a price is in the overbought region the bears are likely to come in. Maker is relatively stable and relevant for position traders.

Bitcoin SV had reversed since October 2019 after the downtrend line was breached.

The uptrend has been hampered by insufficient buyers at a higher price level. Recently, BSV made remarkable moves which earned it a price of $180. Regrettably, BSV drops again and fluctuates between $140 and $180. Nonetheless, if BSV had gotten the initial success over $180 resistance, BSV would have been out of the downtrend zone. Possibly a retest is likely as the market makes another move at $180.

Binance Coin is still in a bear market that began in July 2019. BNB had its last bearish impulse on December 17, at $12 low. BNB is making encouraging moves as it breaks over the EMAs.

The coin is rising and may break the resistance at $16. We expect that BNB will above $20 if the bulls are successful. Hopefully, we will assume that the pair is out of the bear market.

Meanwhile, Binance Coin is above 60% range of the daily stochastic signifying BNB is rising.

Disclaimer. This analysis and forecast are the personal opinions of the author are not a recommendation to buy or sell cryptocurrency and should not be viewed as an endorsement by CoinIdol. Readers should do their own research before investing funds.

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Cryptocurrency Has Earned Its Place as a Safe Haven – Investorplace.com

The true test of any asset class comes not during good times but during tumultuous times. Its easy to root for an investment when the world is peaceful, but life has its ups and downs. This applies to cryptocurrency just as much as any asset class. How will Bitcoin and other digital assets behave when the peace is threatened?

Source: Shutterstock

Unfortunately, theres no easy answer to this question; after all, Bitcoin, the original cryptocurrency, has only been around since 2009. Thats when the mysterious Satoshi Nakamoto created the code for the digital ledger on which Bitcoin is built and maintained. It also happens to be the year when the U.S. stock market bottomed out.

There hasnt been a sustained financial crisis since Bitcoins creation. Therefore, it could be claimed that Bitcoin and other cryptocurrencies havent really been put to the test. There was, however, a recent mini-shock that tested out cryptocurrencys ability to function as a safe haven.

It didnt last long, but I believe that after the dust settled, Bitcoin emerged stronger than ever and convincingly demonstrated it has what it takes to serve investors as not just a vehicle of speculation, but a financial safety net.

The evening of Jan. 7 brought back feelings of fear and uncertainly the global markets hadnt experienced in quite a while. Everywhere you looked among financial headlines and social media, you could feel a sense of panic developing.

Iran had just reportedly fired over a dozen missiles at multiple U.S. military air bases located in Iraq, and there were concerns that American service members might have been harmed in the attack. Secretary of Defense Mark Esper ominously stated, We are not looking to start a war with Iran, but we are prepared to finish one.

The series of missile attacks, it seemed, were a retaliatory act against the United States killing a top Iranian general. President Donald Trump raised the stakes and the tension by hinting at the possibility of retaliation, tweeting that he was looking at 52 potential targets very important to Iran & the Iranian culture.

While we now know in hindsight that the threat of full-scale war fizzled out within a couple of days, lets not forget how scary it was in the moment. Sure, there have been trade wars and currency wars since Trumps election, along with multiple rounds of political posturing between Trump and North Korean leader Kim Jong-un. Yet, this marked the first time that Trump possibly had to respond to the killing of American military forces and the first time in years that the American markets had really felt the shock waves of potential wartime conflict.

Futures for the S&P 500, Dow Jones Industrial Average, and NASDAQ all fell sharply upon the news of the missile attack. Due to the Middle East connection, WTI crude oil futures increased in price, reaching around $65.50 at one point. Established safe havens gold and silver also increased in value, as one might expect during such a time of conflict and uncertainty. The true standout in the financial markets, though, was cryptocurrency but not every cryptocurrency, as one well-known digital coin truly outshone the rest.

Much to the surprise of the financial peanut gallery on social media, Bitcoin touched its highest price of the year so far. Amid all the turmoil and confusion, at one point in time it managed to reach $8,438. This represented a 24-hour price gain of more than 6%; in other words, Bitcoin actually managed to outperform oil during a crisis in the Middle East.

To be honest, other cryptocurrencies simply didnt measure up. During those same 24 hours, Ethereum (ETH) was basically flat and Ripple (XRP) actually declined by 3.5%. Other popular cryptocurrencies had mixed results during this tumultuous time; among the most famous cryptos, however, Bitcoin was the clear winner.

Digital Asset Capital Managements head of trading, Joshua Green, asserted that Bitcoins price performance was a response to these geopolitical events. I tend to agree with this assessment of Bitcoins price action throughout that unsettling time: when it came time for traders to hide out in alternative assets, Bitcoin was an obvious choice.

It also helps that Bitcoin trades 24 hours a day, seven days a week. Its also tradable on every continent in the world, making Bitcoin a convenient place to store assets when market volatility erupts. Besides, most people dont have a futures trading account, and I dont see that changing anytime soon because futures trading is relatively complex.

Meanwhile, more people are learning how to trade cryptocurrency, and Bitcoins brand-name recognition remains unrivaled in the domain of blockchain-based assets.

This is just one incident and we cant form any major conclusions yet. Still, its encouraging to see Bitcoin do well in these circumstances, even if the broader cryptocurrency market lagged somewhat.

Hopefully Bitcoin will maintain its value the next time its put to the test as a safe-haven asset. But in this instance, at least, Bitcoin passed with flying colors.

As of this writing, David Moadel did not hold a position in any of the aforementioned securities.

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eToro CEO On Bitcoin Dominance in the Cryptocurrency Market – The Coin Republic

Steve Anderrson Monday, 13 January 2020, 13:19 EST Modified date: Monday, 13 January 2020, 13:20 EST

Bitcoins market presence and value have been on a definite rise in these early days of 2020. The price increased 11% within the first week of the year and then fell to $7,900 on January 9, but not before peaking at about $8,400 on January 8, a high that hadnt seen since November 2019.

The growing influence and value of cryptocurrencies have brought in significant changes to the Israeli trading platform eToro. The company has managed an investment social network since 2007 and its cryptocurrency exchange division eToroX since 2019.

Cryptocurrencies alone have accounted for 20% of their total trading volume through eToroX.eToro CEO Yoni Assia said that eToro provides a social network for investors to see what assets are invested in, whether it be indices, stocks, or cryptocurrencies.

Most of eToros trading volume still sits in the stocks sector as the global stock market continued setting records in 2019. In an interview with the Daily Globes, Assia spoke on how Bitcoin will continue to lead the cryptocurrency market.

Assia stated that they see a lot of people coming into their platform for cryptocurrency trading and then later get into stock trading and remain on the platform. eToro is also one of the few platforms in the world where stocks can traded using bitcoin.

eToro also launched a digital wallet through which customers can hold and transfer their cryptocurrencies. The company also has plans to launch its debit card so its users can instantly debit the transferred currencies.

Assia stated, The card will help expand eToros financial services and will be available in more than 100 countries around the world.

Assai says that when eToro entered the market was very strategic for them since most exchanges got into cryptocurrency trading during early 2018 when the unprecedented rise in Bitcoin value came in 2017.

All the new exchanges profited from the boom, but it was short-lived as the crypto winter hit, and most exchanges succumbed to all the market pressure.

But by the second quarter of 2019, as eToro got into the crypto trading market, surges in the transactional volume and market prices were surging again due to the announcement of Facebooks Libra coin.

This brought awareness of cryptocurrencies to globally. eToro observed a 5x increase in transaction volume and the number of cryptocurrency traders on its platform. As the market stabilized during the third and fourth quarters of 2019, eToro saw a two to three times increase in crypto users and transaction volumes.

eToro had also acquired two startups, the Belgia-based cryptocurrency portfolio monitoring platform Delta, and a Danish startup Firmo, whose specialty lies in developing more secure smart contracts on the blockchain.

The company hopes to integrate Delta customers into eToroX and use the technology developed by Firmo in conjunction with eToros blockchain laboratory. They launched 17 stablecoins on eToroX this year.

In early 2019, Yoni Assia, along with his brother Ronen Assia, who is also the co-founder, and chief product officer of eToro, stated that they planned to expand their investment social network to investors in other countries such as Hong Kong, China, and South Africa.

Assia also went on to say that eToro expanded its business significantly by about 50% in Australia, Philippines, Vietnam, Thailand, Indonesia, Malaysia, and China. They also held an event in the United States. At the moment, eToro only provides cryptocurrency transaction services to U.S. customers, but they hope to expand to more countries in the future.

Yoni Assia also spoke about Israeli company INX which offers cryptocurrencies as security tokens saying, Securities tokens are an exciting market segment, but the liquidity and supply of this market are still not enough to attract investors.

I think that among the hot words in the various cryptocurrency markets we hear about, security tokens will be in the infrastructure development phase this year. On the other hand, in my opinion, stablecoins and DeFi applications are areas where we will see more activity in 2020.

He also believes that in the next decade, the financial industry will undergo tokenization with a basis on blockchain infrastructure. It will all be part of the gradual vast digitization of the financial sector.

When asked about his thoughts on the future of cryptocurrencies and the challenges they will face in 2020, Assia said that he believes Bitcoin will continue to lead the cryptocurrency market in the long run.

Ethereum also holds massive potential with its smart contract technology, and ripple will design the infrastructure on fund transfers between banks.

He also says that other unusual coins like Tezos that focuses on creating decentralized corporate control over IOTA will also grow prominently in their respective fields of expertise.

He also considers Bitcoin halving to be a significant event, and it will bring forth price hikes in the market.

Assia has finally mentioned that he firmly believes that the Bitcoin community came a long way in 2019 and that the concept of Bitcoin and the financial benefits it holds against traditional currencies has already taken hold of consumers in various countries.

The public discussion of Bitcoin will only continue to grow, and the stock market will continue to break records on the side.

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Moonday Mornings: Ethereum dev released on $1M bail over North Korea case – The Next Web

Hello Hard Forkers, welcome to another Moonday Morning where we wrap-up the weekends hot cryptocurrency and blockchain headlines.

Take a look.

A small but illegal Bitcoin mine has been located and dismantled in the Ukraine, according to a Facebook post published by an account which appears to belong to the Chairman of Ukraines state railway. Late last year, Yevhen Kravtsov said the farm was located in a railway building in Ternopil in the west of Ukraine.

The farm allegedly installed more than 100 cryptocurrency miners which were attached to the railway buildings power supply in such a way they bypassed the electricity meter. Kravtsov said the people running the mine had saved themselves more than $40,000 by doing so.

Virgil Griffith, the Ethereum ETH developer that allegedly travelled to North Korea to give a talk on how cryptocurrency could be used to evade sanctions, has been released on a $1 million bond, AP reports. The bail has been granted despite prosecutors fears that Griffith may flee the country before his trial

The news comes shortly after Griffith was formally indicted by US authorities late last week. The developer was placed on house arrest, with an electronic tag, at his parents home.

The Reserve Bank of Australia (RBA) is skeptical whether Libra will make inroads in the country at all,ZDNet writes. According to the report, the RBA believes its still unclear if there will be strong demand for stablecoins, and cryptocurrency-based products like Facebooks Libra in Australia.

In a submission to the Select Committee on Financial Technology and Regulatory Technology the RBA said: Australia is already well served by a range of low-cost and efficient real-time payment methods, such as the New Payments Platform, that utilize funds held in accounts at prudentially supervised financial institutions.

The Japanese Financial Service Agency is reportedly planning to introduce a rule that limits the amount of leverage an investor can use in cryptocurrency margin trading, English-speaking outlet The Japan News reports.

The new rule would see leverage limited to twice the deposits of traders. The industry currently has a self-imposed cap of four times; the new law would cut potential leverage in half. According to sources familiar with the matter, the new rule looks set to come into force in the springtime.

And finally

Gregg Bennett, the man who allegedly lost $1 million worth of Bitcoin in a SIM-swap attack, has taken out Twitter adverts attacking cryptocurrency exchange Bittrex, the Seattle Times reports. The ads spread Bennetts claims that Bittrex is an unsafe exchange. He also maintains a website that documents his case against the exchange.

Bennett fell victim to the SIM-swap attack last year. He claims Bittrex violated or ignored its own security standards and industry-standard practices, which allowed hackers to steal 100 Bitcoin from him. Bittrex has said its not at fault and asked for the case to be dismissed.

There you have it, now go get on with your week.

Published January 13, 2020 09:41 UTC

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New Program Supports Machine Learning in the Chemical Sciences and Engineering – Newswise

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Newswise The Camille and Henry Dreyfus Foundation announces the establishment of a new program for Machine Learning in the Chemical Sciences and Engineering. The goal of this program is to further the understanding and applications of machine learning throughout the chemical sciences. This program is open to academic institutions in the States, Districts, and Territories of the United States of America that grant a bachelors or higher degree in the chemical sciences, including biochemistry, materials chemistry, and chemical engineering. The deadline is April 2, 2020.

"In view of the increasing attention to and expectations for the profound impacts that artificial intelligence and data science will have on physical science and engineering, the Dreyfus Foundation plans to make strategic investments in machine learning for the chemical sciences and engineering, both to advance the field in these areas, and to help position the chemical sciences field to best avail itself of the broad agency opportunities for research support that are emerging. We are enthusiastic about the potential for machine learning to produce useful fundamental and practical insights in chemical research." -Richard N. Zare and Matthew V. Tirrell, Camille and Henry Dreyfus Foundation, Scientific Affairs Committee of the Board of Directors.

Below are some examples of areas this program may support:

Note that proposals are not restricted to the areas described above.

Please contact programs@dreyfus.org if you have questions regarding a grant application. Additional details are available at http://www.dreyfus.org

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The Problem with Hiring Algorithms – Machine Learning Times – machine learning & data science news – The Predictive Analytics Times

Originally published in EthicalSystems.org, December 1, 2019

In 2004, when a webcam was relatively unheard-of tech, Mark Newman knew that it would be the future of hiring. One of the first things the 20-year old did, after getting his degree in international business, was to co-found HireVue, a company offering a digital interviewing platform. Business trickled in. While Newman lived at his parents house, in Salt Lake City, the company, in its first five years, made just $100,000 in revenue. HireVue later received some outside capital, expanded and, in 2012, boasted some 200 clientsincluding Nike, Starbucks, and Walmartwhich would pay HireVue, depending on project volume, between $5,000 and $1 million. Recently, HireVue, which was bought earlier this year by the Carlyle Group, has become the source of some alarm, or at least trepidation, for its foray into the application of artificial intelligence in the hiring process. No longer does the company merely offer clients an asynchronous interviewing service, a way for hiring managers to screen thousands of applicants quickly by reviewing their video interview HireVue can now give companies the option of letting machine-learning algorithms choose the best candidates for them, based on, among other things, applicants tone, facial expressions, and sentence construction.

If that gives you the creeps, youre not alone. A 2017 Pew Research Center report found few Americans to be enthused, and many worried, by the prospect of companies using hiring algorithms. More recently, around a dozen interviewees assessed by HireVues AI told the Washington Post that it felt alienating and dehumanizing to have to wow a computer before being deemed worthy of a companys time. They also wondered how their recording might be used without their knowledge. Several applicants mentioned passing on the opportunity because thinking about the AI interview, as one of them told the paper, made my skin crawl. Had these applicants sat for a standard 30-minute interview, comprised of a half-dozen questions, the AI could have analyzed up to 500,000 data points. Nathan Mondragon, HireVues chief industrial-organizational psychologist, told the Washington Post that each one of those points become ingredients in the persons calculated score, between 1 and 100, on which hiring decisions candepend. New scores are ranked against a store of traitsmostly having to do with language use and verbal skillsfrom previous candidates for a similar position, who went on to thrive on the job.

HireVue wants you to believe that this is a good thing. After all, their pitch goes, humans are biased. If something like hunger can affect a hiring managers decisionlet alone classism, sexism, lookism, and other ismsthen why not rely on the less capricious, more objective decisions of machine-learning algorithms? No doubt some job seekers agree with the sentiment Loren Larsen, HireVues Chief Technology Officer, shared recently with theTelegraph: I would much prefer having my first screening with an algorithm that treats me fairly rather than one that depends on how tired the recruiter is that day. Of course, the appeal of AI hiring isnt just about doing right by the applicants. As a 2019 white paper, from the Society for Industrial and Organizational Psychology, notes, AI applied to assessing and selecting talent offers some exciting promises for making hiring decisions less costly and more accurate for organizations while also being less burdensome and (potentially) fairer for job seekers.

Do HireVues algorithms treat potential employees fairly? Some researchers in machine learning and human-computer interaction doubt it. Luke Stark, a postdoc at Microsoft Research Montreal who studies how AI, ethics, and emotion interact, told the Washington Post that HireVues claimsthat its automated software can glean a workers personality and predict their performance from such things as toneshould make us skeptical:

Systems like HireVue, he said, have become quite skilled at spitting out data points that seem convincing, even when theyre not backed by science. And he finds this charisma of numbers really troubling because of the overconfidence employers might lend them while seeking to decide the path of applicants careers.

The best AI systems today, he said, are notoriously prone to misunderstanding meaning and intent. But he worried that even their perceived success at divining a persons true worth could help perpetuate a homogenous corporate monoculture of automatons, each new hire modeled after the last.

Eric Siegel, an expert in machine learning and author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, echoed Starks remarks. In an email, Siegel told me, Companies that buy into HireVue are inevitably, to a great degree, falling for that feeling of wonderment and speculation that a kid has when playing with a Magic Eight Ball. That, in itself, doesnt mean HireVues algorithms are completely unhelpful. Driving decisions with data has the potential to overcome human bias in some situations, but also, if not managed correctly, could easily instill, perpetuate, magnify, and automate human biases, he said.

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Informed decisions through machine learning will keep it afloat & going – Sea News

2020,a new year and this one brings along a sea change for those who deal with thesea business. Keeping in view the business as well as the environmentalaspects, the authorities concerned, have rolled out several directions that thecompanies on and off-the shores need to follow.

Amidst the new rules and guidelines follow there are, of course, institutions growth targets. Recounting a few directions from the authorities concerned, with the Chief Operating Officer of Greensteam Learning Technology Simon Whitford, here we have his insights on how is Greensteam taking up the challenges.

Recently, the UN announced that global GHG emissions must be reduced by 7.6% every year for the next decade. With regard to GreenSteams fuel saving figures, Mr Whitford talks about solutions they have and explains:

GreenSteams ML platform calculates a 30% non-propulsion fuel use for an average non-optimised deep sea voyage. bad weather accounts for half of this fuel use (15%) and poor vessel optimisation makes up the rest (15%). Right now, GreenSteam has tools to measure and improve vessel optimisation. The 3 target areas for vessel optimisation are trim, speed and hull cleanliness. We have solutions for trim and hull cleanliness and we are beta testing a speed optimisation solution. That means we can address this 15% of fuel wastage.

To survive this period of upheaval and changein a sector already grappling with heightened security risks, recruitmentchallenges and rising operational costs, machine learning will be a vital toolin the arsenal of any shipping company, regardless of size, location, or modeof operation.

Embracing machine learning can no longer beregarded as a nice-to-have: in the post-2020 world, it is a Must-have.

Talking on the future strategies of the company, Mr Whitford says, On our roadmap we will apply our decade in development ML platform to route. Lets say this can help avoid 3% of poor weather losses. That would allow shipping companies to meaningfully address 18% of fuel use with our zero capex, zero down-time machine learning tools.

From 2020, shipping companies operatingoutside emissions control areas (ECAs) have to meet tighter regulations in theshape of the well-documented global 0.50% sulphur cap. The IMO 2020 has broughtthe current sulphur limit outside ECAs down from 3.5%. Technology, machinelearning to be more specific, has the solutions.

Machine learning is an advanced form ofartificial intelligence in which systems use powerful algorithms and logic tocut through the noise. By learning from experience, and by being able toidentify patterns and discover trends, decisions can be made with minimal humaninvolvement.

Mr Whitford , when asked about challenges replies with the term Not Exactly. He chooses to put it very differently. He states: There is an adoption period for the technology when the algorithm is learning about the ship and crew are learning about the technology. Legacy models have to discard 90% of (good) data to create their simple, shallow stereotype of each vessel. This creates a very poor image of the way the vessel will react in various conditions, and means they cannot measure fuel wastage with any accuracy, and forecasting performance is impossible.

He adds The difficulty with machine learning is the initial 3 month learning period to capture the behaviour of the ship across a wide variety of operating conditions but this is necessary to thoroughly understand how the individual vessel will operate, divide up the areas of fuel wastage and to enable speed, trim and fouling forecasts.

Theera of the machines is finally in full swing. There is proof all over that machinelearning models are highly adaptive. They are continuously revised and refined,becoming more accurate as new data enriches the dataset. Solutions based onmachine learning enable businesses solve complex problems quickly, and muchmore effectively, than has been possible traditionally.

To sum it up, its all about improving efficiency to survive during and beyond rapid and deep change. By helping human experts to make better-informed decisions, accurate predictive automated modelling frees up the creative human for alternative tasks, which may include responding to emergencies or other unforeseen events.

Sea News Feature, January 13

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Forget Machine Learning, Constraint Solvers are What the Enterprise Needs – – RTInsights

Constraint solvers take a set of hard and soft constraints in an organization and formulate the most effective plan, taking into account real-time problems.

When a business looks to implement an artificial intelligence strategy, even proper expertise can be too narrow. Its what has led many businesses to deploy machine learning or neural networks to solve problems that require other forms of AI, like constraint solvers.

Constraint solvers take a set of hard and soft constraints in an organization and formulate the most effective plan, taking into account real-time problems. It is the best solution for businesses that have timetabling, assignment or efficiency issues.

In a RedHat webinar, principal software engineer, Geoffrey De Smet, ran through three use cases for constraint solvers.

Vehicle Routing

Efficient delivery management is something Amazon has seemingly perfected, so much so its now an annoyance to have to wait 3-5 days for an item to be delivered. Using RedHats OptaPlanner, businesses can improve vehicle routing by 9 to 18 percent, by optimizing routes and ensuring drivers are able to deliver an optimal amount of goods.

To start, OptaPlanner takes in all the necessary constraints, like truck capacity and driver specialization. It also takes into account regional laws, like the amount of time a driver is legally allowed to drive per day and creates a route for all drivers in the organization.

SEE ALSO: Machine Learning Algorithms Help Couples Conceive

In a practical case, De Smet said RedHat saved a technical vehicle routing company over $100 million in savings per year with the constraint solver. Driving time was reduced by 25 percent and the business was able to reduce its headcount by 10,000.

The benefits [of OptaPlanner] are to reduce cost, improve customer satisfaction, employee well-being and save the planet, said De Smet. The nice thing about some of these are theyre complementary, for example reducing travel time also reduces fuel consumption.

Employee timetabling

Knowing who is covering what shift can be an infuriating task for managers, with all the requests for time off, illness and mandatory days off. In a place where 9 to 5 isnt regular, it can be even harder to keep track of it all.

RedHats OptaPlanner is able to take all of the hard constraints (two days off per week, no more than eight-hour shifts) and soft constraints (should have up to 10 hours rest between shifts) and can formulate a timetable that takes all that into account. When someone asks for a day off, OptaPlanner is able to reassign workers in real-time.

De Smet said this is useful for jobs that need to run 24/7, like hospitals, the police force, security firms, and international call centers. According to RedHats simulation, it should improve employee well-being by 19 to 85 percent, alongside improvements in retention and customer satisfaction.

Task assignment

Even within a single business department, there are skills only a few employees have. For instance, in a call center, only a few will be able to speak fluently in both English and French. To avoid customer annoyance, it is imperative for employees with the right skill-set to be assigned correctly.

With OptaPlanner, managers are able to add employee skills and have the AI assign employees correctly. Using the call center example again, a bilingual advisor may take all calls in French for one day when theres a high demand for it, but on others have a mix of French and English.

For customer support, the constraint solver would be able to assign a problem to the correct advisor, or to the next best thing, before the customer is connected, thus avoiding giving out the wrong advice or having to pass the customer on to another advisor.

In the webinar, De Smet said that while the constraint solver is a valuable asset for businesses looking to reduce costs, this shouldnt be their only aim.

Without having all stakeholders involved in the implementation, the AI could end up harming other areas of the business, like customer satisfaction or employee retention. This is a similar warning given from all analysts on AI implementation it needs to come from a genuine desire to improve the business to get the best outcome.

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Forget Machine Learning, Constraint Solvers are What the Enterprise Needs - - RTInsights

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