Over the past few years in the cryptocurrency market, dog-themed meme coins have become wildly successful – soaring to the moon and beyond! This began with Dogecoin (DOGE) in 2013 and was soon followed by many others: Shiba Inu, Samoyedcoin, Floki Inu, BabyDodge, Dogelon Mars, etc.

We have seen many dogs get their fair share of the bone, but it’s about time we saw a cat relish in their glory. I mean, what’s a cat gotta do to break bread with these old dogs?

In this article, we will be taking a look at some of the top dogs, Shiba Inu (SHIB) and Floki (FLOKI); and how Big Eyes Coin (BIG) could be the first big cat coin to join the gang.

Big Eyes Coin – Little Kitty Breaking Big Bucks

Big Eyes Coin (BIG) is a community-driven meme cryptocurrency, with the mascot of an extremely adorable cat, helping to differentiate itself from the overly-infused dog-themed cryptocurrencies. This project has the primary aim of shifting wealth into the DeFi (decentralised finance) system.

Unlike many who turn a blind eye to the environmental issues in the world, these big eyes couldn’t help but spot the terrible condition of the world’s oceans which are filled with chemical contamination and trash. Therefore, the team decided that 5% of $BIG transactions would go into a visible charity wallet and go towards preserving our oceans.

Recently Big Eyes Coin has just surpassed a stunning $17 million in presale whilst these numbers begin to grow, leading up to a very exciting launch! With Big Eyes Coin smashing these barriers so early on, this leaves us to question, maybe it’s time for a cat to snatch the crypto crown?

Shiba Inu – The ‘Dogekiller’

Created as an alternative to Dogecoin (DOGE), Shiba Inu (SHIB) is an ERC-20 token that entered the market in August 2020. Since its launch, it had seen ginormous gains of over 48,000,000% by the end of 2021 – rising to become the second most popular meme coin to Dogecoin.

Although Shiba Inu was initially created to cash in on the huge success of Dogecoin in 2020, it has introduced some serious use cases over the years as a DeFi (decentralised finance) transactional currency.

SHIB is a deflationary token, that is consistently being burned to help to reduce the supply of tokens – so as time passes it will increase in rarity, driving up the price.

Moreover, the upcoming Shibarium layer-2 solution will lower transaction costs, increasing the likelihood of mass adoption. Additionally, as NFT gaming develops in popularity, the masses will be drawn to Shiba Inu with the recent debut of the Shiba Inu Metaverse.

Floki Inu – Could This Coin Get You A Seat at Valhalla?

Floki Inu (FLOKI) was created by huge fans and members of the Shiba Inu (SHIB) community and it is named after none other than Elon Musk’s Shiba Inu. It prides itself on being “The Peoples Cryptocurrency”, which is apparent when you look at the number of projects they are working on for their loyal community.

The most exciting project underworks for the Floki Ecosystem includes an NFT gaming metaverse called Valhalla, a suite of decentralised finance products launched under the ‘FlokiFi’ umbrella, an NFT and merchandise marketplace called FlokiPlaces, a content and education platform called the University of Floki.

It is clear that Floki Inu are striving to stand out from many other meme coins, by combining memes with utility – making it an attractive option for users and investors.

Final Thoughts

With meme coins on the rise, introducing tonnes of utility cases that can provide real-world value, combined with their loyal community backing – it seems a meme coin revolution is well on its way!

Why not join the dog pack and get in on some Shiba Inu or Floki Inu? Or, perhaps

it’s time we saw a new cat to snatch the crypto crown? With Big Eyes Coin, this could be your chance to get in on huge gains at an early stage!

Big Eyes Coin (BIG)

Presale: https://buy.bigeyes.space/

Website: https://bigeyes.space/

Telegram: https://t.me/BIGEYESOFFICIAL

Dogelon Mars (ELON), Baby Doge Coin (BabyDoge), and Big Eyes Coin (BIG) are three examples of meme coins with the capability of becoming incredibly lucrative this year.

Meme coins, as their name suggests, have not always had the best reputation in the cryptocurrency industry. However, with cryptos like Dogecoin (DOGE) and Shiba Inu (SHIB) being ranked in the top 15, we have no choice but to take them seriously.

And besides, the so-called crypto powerhouses are not going through the best spell at the moment.

At the time of writing, Bitcoin (BTC) is priced at $22,790.03, way lower than its all-time high of $64,158.12 back in November 2022. Whereas, Ethereum is at a mediocre $1,622.50, similarly a lot lower than its peak of $4,733.36 over a year ago.

Therefore, the stage is set for a few weird and wonderful coins to capitalize on the struggling crypto market and become a profitable venture for the many investors out there.

After raising over 17 million dollars in presale, Big Eyes Coin is well on its way to achieving this feat and there is arguably no reason why Dogelon Mars and Baby Doge Coin cannot generate the same level of momentum.

Dogelon Mars: A Meme Coin On An Adventure

Dogelon Mars is a cryptocurrency based on a fun, quirky, and enticing comic book. In hysterical fashion, Dogelon Mars, the character, sets on a crazy adventure through the galaxy where he tries to find his rightful, planetary home.

Investing in Dogelon Mars provides users with access to this comic, but even more so, an opportunity to help transform the crypto universe for the better. After all, 50% of all supply is gifted to Ethereum founder, Vitalik Buterin.

Baby Doge Coin: Another Crypto Backed By Elon Musk

If Dogecoin is Elon Musk’s favourite cryptocurrency, then Baby Doge Coin is a close second. Musk tweeted about Baby Doge in July 2021 and unsurprisingly the meme coin gained a boost in the crypto market.

With a ranking of 229 and a market cap of over 100,000, Baby Doge Coin is not the least popular cryptocurrency in the world.

Furthermore, Baby Doge Coin is built on the Binance Smart Chain, allowing it to have faster and cheaper transactions, which could pay off down the line.

Big Eyes Coin: Cats, Charity Donations And Bonus Codes

Unlike Dogelon Mars and Baby Doge, Big Eyes Coin is striving to bring some animal equality into the crypto universe by being one of the few cat-themed meme coins on the market.

And Big Eyes Coin plans to use this to its advantage by releasing top ten NFTs, which are likely to include an adorable collection of digital cats.

Plus, with 5% of Big Eyes Coin’s supply going to ocean-saving charities, every investment is passively having a positive impact on the environment.

Not to mention, investors can apply the code LAUNCHBIGEYES200 to gain a 200% bonus at checkout.

Final Thoughts

Dogelon Mars, Baby Doge Coin, and Big Eyes Coin all have the potential to be remunerative this year.

Dogelon Mars may continue to entice investors with its unique comic book, Baby Doge Coin always has a chance to become profitable with Musk’s backing and Big Eyes Coin is set to transcend the crypto industry due to its philanthropic and original perks.

Big Eyes Coin (BIG)

Presale: https://buy.bigeyes.space/

Website: https://bigeyes.space/

Telegram: https://t.me/BIGEYESOFFICIAL

There are thousands of different cryptocurrencies, ranging from the classics like Bitcoin (BTC) and Cardano (ADA) to Decentraland (MANA), and Big Eyes Coin (BIG), making it difficult to get started when you’re new to the field. These are the top 5 coins with the highest potential for growth, to help you get your bearings.

Big Eyes Coin Is Skyrocketing

One of the newer entries to the market, Big Eyes Coin (BIG) is an exciting cat-themed meme coin debuting on the Ethereum network. Already in stage nine of its presale, the coin has raised a massive $17 million already and has a range of attractive offers and promotions like LAUNCHBIGEYES200 which gives buyers a 200% bonus! This coin is sure to continue its meteoric rise to success so it is top of the list to buy during presale when its price is still at a discount.

Bitcoin Price Surge

Bitcoin (BTC) is the OG of cryptocurrencies, developed in 2009 as a Proof of Work (PoW) mechanism, it is now a household name. Unsurprisingly, its value has increased with its popularity. You could purchase Bitcoin for roughly $500 in May 2016 and it is now trading at $22,758.97! Throughout its history, Bitcoin has experienced numerous ups and downs, but it has exhibited exceptional resistance. Despite dropping 65% of its market value last year, the token has seen a significant increase throughout the month, jumping up 38%.

Cardano Taking Flight

Another popular coin on the market is Cardano (ADA). Similar to Ethereum, (ETH) Cardano is a platform for creating decentralized apps (dApps) and smart contracts. It aims to address a number of Ethereum’s shortcomings, such as governance and scalability. Based on a Proof of Stake (PoS) protocol, Cardano is more energy-efficient and faster than Bitcoin making it often a more favourable choice. Its price has reflected this, seeing a 53% increase since 1st January.

Decentraland in the Metaverse

Decentraland (MANA) is one of the pioneers in the development of the “metaverse” technology. The metaverse is seen as a potential future of the internet, where users can interact in virtual spaces that are not controlled by any single entity. The platform allows users to create and monetize their content, such as games and interactive experiences, and also allows for the buying and selling of virtual real estate. This is surely one coin with great potential as metaverse technology evolves.

XRP – More Than Just a ‘Ripple’

XRP (XRP) is the native coin for Ripple, used to facilitate trades of traditional and digital currencies. The coin was priced at $0.006 at the start of the year 2017 and has increased by more than 6000% since then. In the past month alone it has done exceedingly well, increasing from $0.34 to $0.??4212 – an indication that it could continue its upward trajectory throughout the year, making waves rather than ripples.

Final Thoughts

As the crypto winter comes to an end, these 5 key coins are the ones to watch out for. The historic success of Bitcoin gives it greater credibility, whilst Cardano’s utility and versatility makes it likely to do well in the upcoming bull market. XRP looks to be making a comeback, and Decentraland is making technological advancements in the metaverse. The emerging meme coin Big Eyes Coin could be the next biggest meme coin in the industry and is set to transform buyers’ digital portfolios as it excels throughout presale and post-launch.

Presale: https://buy.bigeyes.space/

Website: https://bigeyes.space/

Telegram: https://t.me/BIGEYESOFFICIAL

Modern problems need modern solutions. It usually takes lots of time and effort. Sometimes wasting a week and not having the right solution is the best option. Of course, people will get stressed and mad. To remove stress, try to Vave login during some breaks.

Machine learning and operations research are two sophisticated advanced analytics technologies used in a wide range of solutions. And you need to know the specifics of each in order to correctly apply it in each of the business sectors.

Machine Learning (ML)

Machine learning is a tool with which you can find patterns in the input data and thus solve the problem. This technology is most successfully used in tasks where it is necessary to predict something. Such historical data is best suited for this, in which the algorithm finds a certain logic or pattern. ML is used in many industries, from medicine to different industries. It can be found in medicine. ML helps to recognize diseases based on the results of the ultrasound, X-ray, or MRI. Or with the help of this technology, mineral deposits are found.

Operations Research (OR)

Operations research activities aimed at the mathematical modeling of processes and the search for optimal solutions. This approach has long been used abroad. It is mainly used in large manufacturing companies, where a small change of one percent can bring a significant effect. This can be an optimization. With the help of OR there can be found the distribution of applications by a logistics company. It can save both the time of specialists and the costs of transport management. Or you can find the use of it in fertilizer production. The OR-based solution can respond faster to market changes and plan fertilizer production without manual calculations.

Main differences

In short, using ML, you can identify parameters and dependencies. But only OR will tell you the optimal solution. Here are three more differences. There are three types of analytics.

Descriptive. It gives an idea of what happened in the past or is happening in the present.

Predictive. This allows you to predict what to expect in the future.

Prescriptive. It helps you decide what needs to be done to achieve your business goals.

The fact is that ML is a predictive analytics tool with which you can process huge amounts of data and learn from them. The end result of machine learning work is a prediction that can be used to make a decision.

And OR refers to prescriptive analytics. It is used in a mathematical model. Such a model lists all the constraints of the process that you want to minimize or maximize,

and solve this model. The result of this approach will not be a forecast, but an optimal solution based on the available data and the input problem.

That is, with the help of machine learning, you can get a forecast for the next quarter’s sales. But with the help of operations research, you will learn what exactly needs to be improved in production in order to maximize the next quarter’s revenue.

Applications

We experience the impact of machine learning in everyday life. We love using speech and image recognition in a smartphone, and virtual assistants.

Operations research is widely used in various business areas to solve large-scale problems. It is used in production planning, staff scheduling, cargo routing, or distribution of goods or electricity.

The difference is that ML-based products are more consumer-oriented. Therefore, they are more popular and understandable. While OR-based tools are less visible. Because they are used primarily in business.

Adaptability

Both technologies work differently in the face of sudden changes. For example, if something suddenly changes in the operating environment, machine learning applications based on historical data may produce a less accurate forecast.

We saw this in 2019 during the pandemic. The demand for personal care products soared. It left the shelves in stores empty. So the companies were not immediately able to readjust to the new realities.

In the case of services based on OR, the situation is different. Since it uses a detailed mathematical model of the process, the data can be replaced with actual ones. And the result will correspond to the changed conditions.

In the airline industry, due to changing weather conditions or the need for maintenance, schedule disruptions often occur. Air France used mathematical optimization to schedule flights in such a way. Its flight delays and operating costs are significantly reduced.

Combined Approach

Definitely, a company can get a lot of benefits from a combination of ML and OR. For example, a mathematical model for decision-making can be enriched with a forecasting model. Then the decision will be even more optimal and balanced. Or take the optimization of the production schedule. Which we have already talked about.

You can create an ML model. It will take into account historical data and predict demand depending on the season and other factors. After, create an OR model. It will produce the optimal schedule for the production of products. So the combination of the costs of creation and storage, taking into account consumption, will be minimal. And many companies are already using this combined approach.

Amazon, for example, combines big data, machine learning, and operations research to optimize logistics. Google Maps uses ML to predict future traffic and OR to suggest the best path to a destination.

ML or OR?

Take off from the task. Machine learning and operations research fit different types of problems. Technologies using ML will help you predict something or draw a conclusion based on a lot of data. Predict consumer demand or diagnose equipment. And operations research will help you quickly make the best of many possible decisions. For example, to optimize the operation of transport or to allocate resources.

Pay attention to the data. For ML, high data quality is very important. The result directly depends on this. In the case of OR, a thorough knowledge of internal processes and the ability to build a mathematical model are important. The work of representatives of the departments involved in the processes. Also, the work of analysts and mathematicians is especially important here.

Focus on the result you want to get from technology. ML reveals parameters and dependencies. But the final decision on them is made by a person. OR gives the most optimal solution. It makes it clear what needs to be done to improve processes.

Use the power of synergy, or you don’t have to pick just one. Both of these technologies are not mutually exclusive, but complementary. They can be combined and create powerful services to solve the strategic and operational goals of the company.