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.

There is a video that has been trending since last weekend on the Nigerian social media space. It is a video of a 21-year-old son of the governor of Abia state, Mr Okezie Ikpeazu driving in the governor’s convoy and using the governor’s official fleet to attend an occasion.

Those that rose to the defence of the lad and his dad, the governor stated that the boy was sent by the dad to represent him in a function hence why he was ridden in the official convoy of the governor.

Those defending the action of the son of the governor making use of the governor’s official fleet in the name that he was sent by the governor to represent him in a function should know that a seating governor in his official capacity cannot, in any shape or form be represented by his son or daughter or any other person whomsoever, not even his wife,  in any gathering except that the person is directly given an official position or officially appointed into the cabinet and that is the protocol.

Wife or children of a governor using state-owned resources or making use of the official properties of the government is an abuse of power. The state elected the governor and did not elect his wife or the children.

Our law did not recognize or make provision for the office of the wife of the governor or the office of the children of the governor neither was there a provision for the office of the wife of the president or the office of the children of the president.

Governor’s son is not a title neither is the wife of a governor a title. This should be an eye opener to all and sundry that the purported office of the First Lady or office of the wife of the president or wife of the governor is just a caricature and merely ceremonial as nowhere in our laws is that provision made.

The act of Nigerian officeholders allowing their wards to use state properties for their private business is totally wrong and abusive of the office the officer occupies.

Knocks As Ikpeazu’s Son Arrives Event In Convoy

The arrival of Chinedu, the son of the Abia State governor, Okezie Ikpeazu, at an event has started trending on Saturday.

Netizens raised eyebrows over the convoy that the governor’s son arrived in. pic.twitter.com/IwoHWYhp3b

— Punch Newspapers (@MobilePunch) January 22, 2023

It is more like a norm in Nigeria; almost every political office holder in Nigeria is guilty of this act; starting from the president to the least public office holder. The president has been seen letting one of his aides ride on a presidential jet to attend a private occasion. 

Government properties are to be used for government functions only and only to be used by officials whose such properties are handed over to by the reason of the offices they occupy. Your official car as a senior public office holder is for official duties and business and should never be used for your private business. That is why in some offices, once your tenure has elapsed, you are expected to give up and return official properties in your possession because they do not belong to you.

Government properties that were given to a person for the discharge of his official duties should never be used for private business nor should it be used by the officer’s family members, aides or friends; that amounts to abuse of office and waste of taxpayers’ money.