Data analytics has become a major gamechanger for the cryptocurrency industry. Traders and miners have discovered a number of advantages of using big data and AI tools to improve their profitability.
One of the newest applications of data analytics in cryptocurrency mining is with yield farming. Many crypto enthusiasts have found that it can help them lift their ROI considerably and address many of the problems that they face.
Data Analytics Helps Set the Future of Yield Farming for Cryptocurrency Traders
Decentralized finance (DeFi) has lately risen due to new developments like liquidity mining, which is both creative and dangerous. Stick or lending crypto assets to produce significant returns or rewards in different cryptocurrencies is yield farming. As a result of yield farming, the DeFi industry, which is still in its infancy, expects its market valuation to rise to $10 billion by 2020. New developments in data analytics and machine learning have helped accelerate this growth.
To put it simply, yield farming protocols encourage liquidity providers (LP) to stake or lock up their crypto assets in a pool of liquidity based on smart contracts. A part of the transaction costs, interest from the lenders, or a governance token can be used as incentives (see liquidity mining below). These profits are shown as a yearly percentage return (APY). The right data analytics tools can help investors identify the best trading opportunities and solidify their ROI. Investors’ returns fall in value when more money is added to the linked liquidity pool.
Stablecoins like USDT, DAI, and USDC were the most popular choices for early-yield investors. These investors will have an even better chance of achieving profitability if they use data-driven predictive analytics models to properly forecast asset prices. DeFi protocols that are now popular functions on the Ethereum network provide governance tokens for so-called liquidity mining. For the exchange of supplying liquidity to decentralized exchanges, tokens are farmed in these liquidity pools (DEXs).
Data analytics can help with the mining process as well. They can solve the puzzles needed to earn cryptocurrencies a lot more quickly. Big data technology can also help streamline computing resources to minimize energy use and therefore reduce the costs of the mining process.
Yield farming participants that gain token incentives as an additional remuneration are said to be engaged in liquidity mining, which became popular after Compound began releasing its rapidly rising governance token, COMP, to its platform users. This has been one of the biggest breakthroughs in the use data technology in cryptocurrency mining.
Liquidity providers in yield farming protocols are now typically rewarded with governance tokens, which can be exchanged on centralized exchanges like Binance and decentralized exchanges like Uniswap.
With 123yield, you’ll be the first. By participating in staking, users may take data-driven approaches to mining and earn incentives as they utilize the network. An increasing range of PoS and DPoS assets may be safely staked by users while also receiving 123 tokens as additional incentives. Many cross-chain assets may be earned by staking the users’ 123 tokens. The platform aggregates user stake interests, which then delegates assets to approved validators on their behalf.
It’s a peer-to-peer crypto asset exchange platform that works seamlessly. 123swap uses the collective expertise of the crowd to build a web 3.0 economy that is transparent, community-governed, and decentralized. Because of this, it is based on the Binance Smart Chain.
The 123swap platform is self-funded to a large extent and requires oversight to proceed. It means that the pre-sale will be the primary selling period for tokens. Both the general public and venture capitalists will have equal rights. To save and build money jointly, 123swap offers individuals financial power back.
123yield is easy to use, safe, and devoid of complications. No action is required on behalf of the users, who can stake their 123tokens every day and earn USDT incentives in return. Because of this, the platform keeps a tiny portion of the profit to meet the considerable operational, technological, and legal expenses.
Developments in Big Data Technology Have Helped Improve Cryptocurrency Mining
There is no question that big data has had a huge influence on the direction of the cryptocurrency industry. The DeFi industry, which is still in its infancy, expects its market valuation to rise to $10 billion by 2020. The evolution of data analytics technology has played a huge role in this process.
123swap is a peer-to-peer crypto asset exchange platform that works seamlessly. 123swap uses the collective expertise of the crowd to build a web 3.0 economy that is transparent, community-governed, and decentralized. Yield farming protocols encourage liquidity providers (LP) to stake or lock up their crypto assets in a liquidity pool based on smart contracts. By participating in staking, users may earn incentives as they utilize the network, which is one of the biggest opportunities for data-driven cryptocurrency miners and traders.
The pre-sale will be the primary selling period for tokens. For every stake a user makes with the help of another user’s link, another user receives 10% of the staked money. Because of this, the platform keeps a tiny portion of the profit to meet the considerable operational, technological, and legal expenses.
Data science careers used to be extremely selective and only those with certain types of traditional credentials were ever considered. While some might suggest that this discouraged those with hands-on experience from ever breaking into the field, it did at least help some companies glean a bit of information about potential hires. Now, however, an increasingly large number of people breaking into the field of data sciences actually aren’t themselves scientists.
Many come from a business or technical background that has very little to do with traditional academic pursuits. What these prospects lack in classroom education they more than make up for with hands-on experience, which has put them in heavy demand when it comes to hire people for firms that need to tackle data analysis tasks on a regular basis. With 89 percent of recruiters saying that they need specialists who also have plenty of soft skills, it’s likely that a greater percentage of outside hires may make it into the data sciences field as a whole.
Moving From One Career to Another
The business and legal fields increasingly require employees to have strong mathematical skills, which has encouraged people to learn various types of skills that they might not otherwise have had. Potential hires who are constantly adding new skills to their personal set and practicing them are among those who are most likely to be able to land a new job in the field of data sciences in spite of the fact that they don’t normally have much in the way of tech industry experience.
This is especially true of anyone who needs to perform analytic work in a very specific field. Law offices who want to apply analytic technology to injury claims would more than likely want to work with someone who has a background in these claims because they would be most capable with the unique challenges posed by accident suits. The same would go for those in healthcare.
Providers have often expressed an interest in finding data analysis specialists who also understand the challenges associated with prescription side-effect reporting systems and patient confidentiality laws. By hiring someone who has worked in a medical office, organizations that are concerned with these rather unique problems posed by these issues. The same is probably true of those who work in precision manufacturing and even food services.
By offering jobs to those who previously handled other unrelated responsibilities in these industries, some firms now say that they’re hiring well-rounded individuals who know about customer interactions as well as how to draw conclusions from visualizations. Perhaps most importantly, though, they’re putting themselves in a better position to survive any labor shortages that the data science field might be experiencing.
Weathering Changes in the Labor Market
While countless individuals naturally always struggle to find their dream job, the market currently seems to be in favor of those who want to transition into a more technically-oriented position. Firms that have to enlarge their IT departments might be feeling the crunch, so creating a resume might be all it takes for someone to land a new job. Since companies and NGOs have to compete for a relatively small number of prospects, it’s making sense for them to hire those who might not have otherwise even thought about working in the tech industry.
Firms that find themselves in this position might not have been able to get anyone to fill these jobs if they didn’t do so. That’s also creating room for something of a cottage industry of data scientists.
The Growth of Non-traditional Data Science Firms
Companies that perform analytics on behalf of someone else are starting to become rather popular. Considering the rise of tracking-related laws, small business owners might look to them as a way to ensure compliance. Anything that they do on behalf of someone else usually has to be compliant with all of these rules per the terms of the agreed upon contract. This takes at least some of the burden off of companies that have little to no experience at all with monetizing their data and avoiding any legal troubles associated with doing so.
While it’s likely that many of these smaller analysis offices will eventually merge together, the fact of the matter remains that they’re growing for the time being. As they do, they’ll probably create any number of additional positions for those looking to break into the data science field regardless of just how far their old careers were from the tech industry.
The global cryptocurrency market is growing rapidly. It is projected to be worth nearly $5 billion by 2030. A lot of factors are playing a role in this growth, including new advances in blockchain and the introduction of new blockchain ETFs.
Blockchain ETFs are among the most popular new ways for everyday investors to diversify their portfolios with blockchain and cryptocurrency investments. However, many are left asking what exactly are blockchain ETFs, and why should I be buying them?
Many Different Ways Now Available to Invest in Blockchain Technology
Today, there are many different ways that investors can incorporate cryptocurrencies into their portfolios. The traditional method has always been the direct buying and selling of specific cryptocurrencies like Bitcoin and Ethereum.
This direct exposure to cryptocurrencies is a simple matter of buy low and sell high. However, this opens traders up to significant risk, given how turbulent individual cryptocurrencies can be. It also requires at least a little technical know-how to safely and securely purchase, hold, and sell cryptocurrencies directly.
Buying cryptocurrencies as a speculative investment is just one of the ways that traders can invest in blockchain technology. Alternatively, they can purchase stocks in crypto and blockchain companies. The April 2021 public listing of cryptocurrency exchange Coinbase on the Nasdaq Stock Market is one major example of investing in blockchain technology through a company’s stock.
Investors can also incorporate blockchain exposure into their portfolio in smaller degrees by investing in companies that are only partially or tangentially tied to blockchain technology. Major stocks like Microsoft, Visa, PayPal, and Square all have various blockchain involvement that provides exposure while maintaining security through their strong core business operations.
Of course, picking stocks isn’t for everyone. In fact, it’s not a recommended way to invest for anyone but professional traders. Most everyday investors instead rely on various types of funds that group investments based on a number of factors. Among these are blockchain ETFs.
ETFs Provide Attractive Investment Opportunities Across All Industries
Exchange-traded funds (ETFs) aren’t anything exclusive to blockchain technology. They’re just another type of financial instrument that investors can purchase, designed to provide both growth and security. Blockchain or otherwise, they’re some of the most popular investment assets available today.
An ETF will be made up of investments in a variety of stocks and other assets. The specific assets are chosen to represent some commodity, technology, or strategy. One might imagine investing in every company across a specific industry in order to capture the growth of that industry but remain secure against the failings of individual companies.
ETFs are in some ways similar to investing in traditional mutual funds or other combined assets but generally offer reduced expense ratios. They also offer more variety and versatility, allowing investors to implement more diverse investment strategies.
Blockchain ETFs Provide Excellent Growth While Mitigating Crypto Risks
A blockchain ETF is, quite simply, an ETF that tries to capture the growth of blockchain technology. These instruments accomplish this by selecting a variety of companies with varying levels of blockchain involvement.
This can include both large-cap stocks like Microsoft and Visa, which deliver security and steady growth, and smaller stocks that are more directly tied to blockchain technology. With this strategy, investors can profit as blockchain technology grows without taking on the excessive risk of any individual blockchain venture failing.
There are many different blockchain ETFs available today, with varying levels of blockchain exposure. While some take more high-risk and potentially high-reward strategies than others, they are all relatively secure compared to investing directly in cryptocurrencies or even individual stocks.
The highest performing ETFs in this category have done remarkably well, with 3-year returns ranging from 50 to 150%. This is performance far beyond what most investments could possibly claim to offer. On average, a typical ETF might have been expected to deliver a 3-year return of 30 percent.
A key point to remember here is that these ETFs provide excellent security. While it’s true that an expertly timed investment in Bitcoin could have far overshadowed these gains, there are many investors out there who have incurred major losses trying to time the market. In many cases these losses are incurred when uneducated investors fall prey to various schemes like “Bitcoin Prime” which was recently labeled as a “blacklisted scam” by review website ScamCryptoRobots.com
Choosing the Right Way to Handle Your Blockchain Investments
Blockchain ETFs are just one more way that you can choose to invest in blockchain technology. Like most ETFs, they could find a place in essentially any portfolio. Those considering whether to buy cryptocurrencies directly or mitigate risks with an ETF are going to have to make their decision based on their own investment goals and risk tolerance.
Data security has become a greater concern than ever in recent years. There were only 662 data breaches in 2010. That number rose to over 1,000 by last year.
The rising number of data breaches has created a strong demand for data security professionals. The unfortunate truth is that we need more big data professionals than ever. The shortage of data-savvy security experts is actually holding the United States and other countries back.
However, you must have the proper credentials before you can start a career as a data security expert. There are a lot of IT security certificates that can help you become an expert in this field.
Getting the Right Credentials to Become a Data Security Expert
Certifications are a fantastic way of showing that you know what you’re doing in any industry. It demonstrates to employers that you are not only capable but also aware of industry norms. Finally, in a competitive job market, certifications help you stand out.
In the domain of information security, an information security certificate distinguishes you and gives you all the benefits mentioned above.
Here, we’re going to look at four unranked entry-level information security certificate courses for people wanting to get a jump start in the field.
What is Information Security and Why is it an Important Field?
Simply put, information security refers to the safeguarding of personal data against unauthorized or unwanted access by someone with harmful or malicious intent.
Information Security refers to the processes and methodologies which are designed and implemented to protect print, electronic, or any other form of confidential, private, and sensitive information or data from unauthorized access, use, misuse, disclosure, destruction, modification, or disruption.
As our lives and daily activities grow and we become more reliant on the internet, the necessity to protect our data from those with bad intent has never been more critical. As a result, the demand for information security professionals is growing.
The industry needs individuals with utmost skill because the loss of private data can be detrimental to the user. Any firm that suffers a user data breach also suffers legal consequences.
A certification is a fantastic tool to demonstrate that you have the relevant skill.
Data Security vs Cybersecurity
While both terms are frequently used interchangeably, data security is a discipline under the cybersecurity canopy. Cybersecurity is a far broader concept that includes network security, application security, data security, and so on.
Let’s look at 4 certifications for aspiring information security professionals.
1. SASE Expert Certification
According to Gartner, SASE is a whole new architectural paradigm that will be the future of network security. For those who do not know, SASE is a network architecture that combines VPN and SD-WAN features with cloud-native security functions and provides it as a service. Acquiring the SASE expert certification course from Cato networks is a wonderful strategy to get your SASE skills recognized as a data security expert.
You can be assured that after taking this certification course, you will have a thorough understanding of SASE. This certification is self-paced, which means you can start and finish the course whenever it is suitable for you. It is ideal for IT workers, security specialists, and network administrators.
At the end of the course, you need to pass a 3-5 hour exam with a minimum score of 85% to get certified.
2. Certified Information System Security Professional (CISSP)
CISSP is a worldwide recognized certification for individuals working in the field of information technology security. It will assist you in becoming a certified information security expert by covering a wide range of IT security topics.
The CISSP certification test assesses your knowledge in eight different security domains:
Security and Risk ManagementAsset SecuritySecurity Architecture and EngineeringCommunication and Network SecurityIdentity and Access Management (IAM)Security Assessment and TestingSecurity OperationsSoftware Development Security
This certification is ideal for experienced data security practitioners, managers, and executives who want to broaden their knowledge and skills in various security techniques. A qualification like this can help you get a job in the cybersecurity field as a manager.
3. Certified Ethical Hacker (CEH)
CEH is an EC-Council certification that is earned by demonstrating how to detect weaknesses and vulnerabilities in a computer system in a lawful and legitimate manner. This certification is earned after either training at an accredited training center (ATC) or completing the CEH exam through EC-Council’s learning portal, iClass.
With a certificate like this, you can work in a variety of roles, including cybersecurity analyst, network security engineer, network engineer, warning analyst, security analyst, and so on. The exam is a four-hour multiple-choice test. The examination fee is $1199, with an $80 annual renewal fee.
4. Security+
Comptia’s Security+ certification demonstrates to businesses that candidates have the core knowledge required for any cybersecurity role.
This qualification will prepare you to manage the following in your data security career:
attacks, threats, and vulnerabilities architecture and design operation and incidence responsegovernance, risk, and compliance.
The exam is a multiple-choice test with a maximum of 90 questions and a time limit of 90 minutes. A passing score of 750 is required of candidates on a scale of 100-900.
The Right Credentials Are Crucial if You Want to Become a Data Security Specialist
A certification is a wonderful method to demonstrate your skills, advance your career, and better protect your company’s data. If you’re thinking about acquiring an Information security certification, the certifications we covered in this article are a good place to start.
These certifications can help present greater opportunities, find new jobs, earn more money at your existing position, and move within your organization to jobs with greater responsibilities. As a result, you should consider your current professional path and how you want it to evolve in the future.
Big data has touched almost every facet of our lives. It should be no surprise that the video gaming industry has been heavily influenced by developments in data technology.
There are a number of potential opportunities to utilize big data in video games. One of the biggest benefits of integrating data analytics, AI and other technologies into video games is that it can help improve the user experience. Kevin Rands, a contributor for CIO.com said that big data is helping improve the player experience with freemium games, so that developers can improve the games for premium users. This is proving to be a gamechanger in the industry.
Data Technology is Invaluable for Optimizing the User Experience of Video Game Players
It became clear that a post with this heading could not be avoided. A huge number of GameDev employees of all levels have a very vague idea of what UX design is. The answer to the seemingly simple question “What does a UX designer do?” A full enumeration of “UX” -related activities leads to rounding of the interviewer’s eyes and subsequent frustration.
I wrote this post to dispel the fog of wars around the design specialization I have chosen as my main one. However, the opposite effect is also predictable, some of this material can finish off. It is important to understand the evolving role of big data technology in the video game development profession.
A simplified definition of UX design
UX game design is a set of working methods by which we develop functionality that users appreciate. This is achieved through the formation of hypothetical use cases and their iterative testing on the audience. Data analytics technology has made the testing process much easier. UX design defines a set of rules that we must follow in order for our product to be able to delight the audience. Using these methods, you can balance the composition of the product, select the complexity, select the composition of functions, and make an implementation that is clear and pleasant to use. Among the UX techniques, there are detailed ways to conduct high-quality user testing with machine learning and intuitive data analytics applications and many other ways to get feedback from users of the product.
Moreover, these methods can be applied both to the product as a whole and to its allocated parts. Convenient, understandable application interface is the result of applying some UX methods with data technology. But UX design is not limited to interface design (this is how the process of developing an application interface is called). Moreover, the design itself, in order to obtain a meaningful result, must rely on some UX development that goes beyond working on only interfaces into the product development area.
Several specializations of UX designers have taken root in the development of digital products, such as:
These specializations perform different activities at different stages of the project and in different parts of it. The process is similar to other online businesses that need to leverage data analytics to improve their UX.
UX design goals that rely on data analytics
The goal of UX methods is to reach a high number of users who give a positive feedback to our product. Applied to modern game development, this result manifests itself in good retention, low cost of attracting new players, good in-game sales, and viral advertising that works well. Those appears in almost all product metrics, so the right data analytics platform can make them much easier to analyze.
I understand that many, non-UX designers, found their participation in this goal and were indignant, but yes – UX design helps a business to achieve good product performance. As well as many other activities in product development. But he uses a special set of methods and techniques of work.
UX design, as a set of separate methods, emerged, took root well and received positive marks in service web design (secondly in e-commerce mobile applications), while in game development (and in some other industries) its effectiveness remains unclear to this day.
UX design is the banner of a product approach in development
For those who do not really understand the meaning of the terms, I will explain. Functional approach – an approach in which the area of responsibility of the executor ends at the time of the implementation of a workable function of the application. The product approach uses methods to control all framing processes, including channels of communication with the audience. The product approach expands the area of responsibility of the performers to a positive assessment of the product (or part of a feature) by the user and the successful achievement of business goals.
It is not necessary to draw an idyll in your head, where every employee worries about the joy of the players – this is not a realistic simplification. The processes that support the product development approach are dictated by the company and management through specific project roles and specific procedures.
Big Data Technology Has Been Instrumental in Improving UX for Video Games
Video game developers have to focus on improving the user experience for their players. Big data technology has helped immensely in recent years.
1.145 trillion megabytes! Unbelievably, this is the amount of data that was created every day in 2021. That’s a lot of data and a lot of work for experts working in the field of data science services.
Amidst growing competition, businesses are under increasing pressure to come up with unique and more cost-effective ways to manufacture and market their products.
And cost-effective marketing and production can’t be done without data.
Companies specializing in data science services can help their partners understand, assess, and draw conclusions from large amounts of data based on practical applicability.
They have an in-house team of industry professionals who are experts in their respective fields. They provide accurate information based on facts and practical assessments.
Wondering whether the help of a data science company is worth investing in?
Well, let’s find out.
1. They monitor your data
Similar to how Facebook and Amazon consistently monitor and monetize your data, an effective data science company can help you collect real-time data based on human behavior.
Who your customers are, where they click, what they often buy, how much time they spend on a particular product etc., are some of the important questions every business wants to answer!
Data science companies help you figure out their answers through extensive research and observation.
They track your traffic and give you actionable data to work on.
2. They help you become proactive.
A data scientist’s job is not only to analyze your performance but your competitor’s performance too.
Data research can reveal your competitor’s operational patterns and customer interests based on which you can alter your plans and take the right actions.
Data science will also help you assess businesses with whom you are looking to partner.
By collecting data from their clients and customers, data companies can figure out the creditworthiness of their partners as well.
You can then choose whether or not you want to delve into a business partnership with them.
3. They help you understand trends.
Customer preferences change with time. Data science services help businesses figure out the latest trends and revamp their business accordingly.
A better apprehension of trends also leads to a better customer understanding.
Every business wants to be its respective industry’s trendsetter, but trends are set based on the current market scenario.
Data scientists can help predict future trends based on the current market behavior. With their help, you can channel your efforts in the right direction.
Right customer and trend understanding will promote better financial resource utilization too.
4. Helps you form unique correlations and promotes business expansion
Customers crave unique and new products. As a business owner, you might not see the correlation between your chips and a cold drink but, a data scientist can.
Small changes make great differences, and all one needs to do is find the gaps and fill them.
The combination of chips and cold drinks might not sound like a big deal but, guess what? Businesses consistently fail to make such correlations.
Moreover, creating unique combinations helps keep businesses to compete with the industry leaders. It helps them expand their product range and customer base as well.
Final Thoughts
After summarizing the 4 reasons listed above, the importance of hiring a data company for your business growth should be clear.
But, if you are still wondering whether they are worth your money, think about it; If you familiarize yourself and learn of a practical plan to achieve business success, would you invest in it?
Data science requires marketing knowledge and expertise to study consumer patterns. A layperson cannot study a piece of data in the same way a data science services specialist can.
These experts invest a huge chunk of time studying relevant markets and using predictive data, and they’re able to steer business owners in direction that makes sound business sense, something they typically can’t do on their own since they have other management concerns.
Thus, data scientists help businesses achieve success through utilizing extensive market knowledge and research skills.
Satoshi Nakamoto introduced the world to bitcoin in 2008. Many people speculated that the virtual currency would never gain traction and become extinct. However, it has grown faster than even some of the staunchest supporters originally predicted. Advances in AI and machine learning technology have been important in setting the trend for bitcoin.
It’s been over a decade since the cryptocurrencies were introduced to the world and since it has become increasingly popular. And that is mainly due to the availability of trading profits that has driven a HUGE population to take interest in it.
Many people would like to increase their wealth by helping mine bitcoin and other cryptocurrencies, as well as to help them make more profitable cryptocurrency trading decisions. They are discovering that machine learning technology can help them achieve this goal.
Using Machine Learning Can Be Very Valuable for Cryptocurrency Miners and Traders Alike
Many people have become wealthy by mining cryptocurrencies. But apart from trading, there is another way to earn some profit off of this new technology and that is mining. Some people like to call it the “money making machine” and while not technically accurate, that’s what you can do with it.
However, mining can be pretty complicated for someone just stepping into the world of cryptocurrency, this is where you might consider getting game keys and play cryptocurrency games and farm coins that way. But in this guide, I will try to break it down for you to make things easier for you to understand. You will learn that machine learning can make it a lot easier to mine cryptocurrencies profitably.
What is Cryptocurrency?
Cryptocurrency is a digital asset similar to your money, except it operates entirely online. It is termed decentralized because it is not controlled by a bank or any other central organization, which is one of the primary advantages of bitcoin.
Cryptocurrencies are very secure, because they rely on the blockchain network. Blockchain is governed by some of the most sophisticated machine learning algorithms that are designed to maximize security. It is virtually impossible to break the blockchain network, since the data is heavily encrypted and new machine learning algorithms are being released regularly to weed out crooks and hackers.
There are a lot of new cryptocurrencies out there, but as miners, we usually only focus on the ones that are profitable. Your money is yours with cryptocurrencies, and you keep it in a wallet made up of a public and private key. Think of your public key as your email address, and your private key as your password to receive or transfer money.
Now that you know what a cryptocurrency actually is, let’s talk about what mining is and how to do it the right way by using machine learning technology.
What is Cryptocurrency Mining?
The process of verifying transactions and minting new currencies from blocks is known as cryptocurrency mining. It is conducted by highly sophisticated machine learning algorithms. Richmond Alake, an author with Towards Data Science, talked about some of the benefits of applying machine learning in cryptocurrency mining. Alake pointed out that machine learning has helped optimize cryptocurrency mining platforms and make them far more secure.
In fact, there are two forms of mining: proof of work and proof of stake. All mining hardware like the GPU falls under the category of proof of work.
The mining gear uses electricity and processing power to solve randomly generated complicated problems, machine learning has helped some miners solve these problems much more efficiently. Miners are paid whenever they find the correct solution. While proof of stake is similar to being a shareholder, it entails holding a specific amount of a cryptocurrency in order to establish a node.
The bulk of newbie miners, on the other hand, are primarily interested in the proof of work technique of mining. There are several different algorithms that cryptocurrencies fall under when it comes to proof of work. Algorithms are essentially various problem areas; thus, certain mining gear excels at specific currencies with specific algorithms more than others.
Your hash rate is the unit of measurement for your mining power. The hash is seen as an effort to solve the problem. So, if your hash rate is like 40 mega hashes, your system is trying 40 million different solutions every second, which might sound like A LOT, but there’s even more.
How to use machine learning to start with Mining as a Beginner?
It is clear that using machine learning can help anybody that wants to make more money off of cryptocurrencies. You can use this technology to identify better trading opportunities by using AI to forecast future prices. However, it can be far more useful when it comes to mining cryptocurrencies.
So, as I mentioned earlier, there is a variety of mining but keeping in mind that the majority of people here are beginners, I will explain the one that is the easiest to setup and use, which is GPU mining.
In GPU mining Graphic cards are used to increase computing power. So, the more and better GPUs you have, the more mining power you’ll have, and this is the most residential-friendly alternative because basic miners create a lot of heat and noise, but GPU mining is… silent. As a result, you may utilize GPU mining at your house or anywhere else.
Now that we’ve covered the various types of mining rigs, we can move on to the various types of mining services. There are a plethora of mining services available. However, we will be discussing the following ones:
Pre-Built Mining RigsGPU RentalsCloud Mining
Starting with the Cloud Mining, most of the time, it’s unreliable. Since your money is going to a third-party service that should be giving you hash power in return, you never know when these services will close on you or leave. There are a lot of scammers out there who will take your money and promise you a certain amount of hash power that you don’t really get. You will want to use AI and machine learning tools to help filter out the scammers as well.
The best thing that you can do is buy or setup your own rig with bunch of powerful GPUs. This will not be cheaper but it will make sure that everything is under your control and you get the best return possible.
Although, if you want to make a profit off of GPU mining, you really need to keep an eye on the electricity prices. If that’s not the problem you can make some good profit from your mining rigs but if electricity cost is higher, you won’t be able to make much.
Also, you’d need to keep the GPUs cooled down to working temperature otherwise they can just overheat and die, which will cost you a ton of money.
You can even buy the mining machines, which are like pre-built machines but the problem with mining machines is that it makes too much noise and needs to be placed in a cold temperature. If you want to mine inside your room or anywhere else inside the house, using a mining machine to mine coins might not be the best idea.
Lastly, you also need to have a stable internet connection to be able to mine continuously and consistently. There are a bunch of ways you can start mining by joining the mining pool and for that you need to make sure that your internet connection is stable.
Which coin Should You Mine?
So, this is where things get interesting because there are literally thousands of coins out there and many more coming out. But as we talked about GPU mining, the most profitable coin would be Ethereum but in order to mine Ethereum, you’d have to get a GPU with at least 6 GB of Vram for it to mine ETH.
But then again, things keep changing rapidly in the crypto market, so you need to keep an eye out for other coins as well. I hope this beginner guide was helpful in clearing some things up and made you more confident about crypto mining.
Machine Learning Can Be Essential for the Future of Cryptocurrency Mining
More cryptocurrency miners are discovering the benefits of using machine learning technology to improve their profitability. You should consider utilizing machine learning if you hope to make more from your bitcoin mining efforts.
The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. The upsurge of data (with the introduction of non-traditional data sources like streaming data, machine logs, etc.) along with traditional ones challenge old models of data integration.
In this new reality, leveraging processes like ETL (Extract, Transform, Load) or API (Application Programming Interface) alone to handle the data deluge is not enough. For people striving to rule the data integration and data management world, it should not be a surprise that companies are facing difficulty in accessing and integrating data across system or application data silos. As per the TDWI survey, more than a third (nearly 37%) of people has shown dissatisfaction with their ability to access and integrate complex data streams.
Organizations must adopt transformative technologies like Artificial Intelligence (AI) and Machine Learning (ML) to harness the true potential of data, drive decision making, and ultimately improve ease of doing business.
Why is Data Integration a Challenge for Enterprises?
As complexities in big data increase each day, data integration is becoming a challenge. Truth is, data no longer lives in an enterprise – it lives in the cloud and across different systems. The emergence of new types and formats of data are adding to the diverse data fabric organizations have in place.
A variety of data integration tools are burdened with the functions of transporting data from one place to another. According to the majority of companies, that’s the difficult part so to speak. The reality is different, however. Integrating large, complex streams of data is difficult. If legacy solutions are used, it will take a lot of time and effort; IT teams will be burdened with complex custom coding and EDI mapping, and tasks like data onboarding, data mapping, and data integration will take months to complete.
What Are the Major Roadblocks?
Data now resides across different segments and departments of an enterprise. It exists across cloud platforms and in different schemas (with multiple data dependencies). The current business landscape has become extremely disruptive. The data flows in different places; it gets copied and duplicated multiple times. With each system being handled by a different owner, data is now created as well as managed in a different way. As data flows, it is accessed by users and changes are made accordingly.
CIOs and leaders must consider data as an asset to capitalize on it completely. In case they fail to do so, data will always be viewed as well as used as a by-product of the business, ultimately inhibiting value and compromising experiences. The role of Artificial Intelligence and Machine Learning comes into play here.
How Can AI Transform Data Integration?
Artificial Intelligence and Machine learning play an important role in transforming data integration outcomes. Harvard Business Review predicted that AI will add a whopping $ 13 trillion to the global economy. so, understanding their importance is the key:
Faster Data Mapping: AI-enabled solutions can help users map customer data in minutes instead of months. This speeds up data transformation and decision-making. AI-data mapping tools allow even non-technical business users to create intelligent data mappings using Machine Learning algorithms. Not only will this increase the speed but also the accuracy of the data mapping process. While non-technical business users map and integrate data, IT teams can focus on more high-value tasks.
Improved Big Data Processing: By using Machine Learning algorithms, users can ingest, integrate, and analyze big data at speed and scale. Legacy solutions lack precision and speed while handling big data. Machine Learning, on the other hand, can empower business users to parse through the big data structure to form data models with minimal coding.
Better Intelligence Through Autonomous Learning: By automating data transformation, AI allows users to identify the hidden patterns and trends from the curated large datasets and leverage statistical modelling to generate accurate insights at the speed of business.
Next-gen technologies such as AI and ML are acting as catalysts for change. The elimination of manual efforts and higher levels of accuracy introduced by these solutions have transformed data integration in its entirety. And the future of these technologies looks bright that, eventually data will be able to integrate itself (based on what it has learned and share the learnings with machines and man).
Analytics technology has become more important than ever in shaping the future of business. Countless businesses are looking for new ways to apply analytics technology to improve every aspect of their business model.
One of the most important applications of analytics is with website management and development. You can use analytics to optimize your website to become more aesthetically pleasing to viewers. However, it can be even more important to take an analytics approach to web development that would help with the user experience.
Growing a business can be quite difficult. Nevertheless, with the continuous improvement in the technological and digital space, your work as an entrepreneur has been made easier.
Business owners used to have to come up with inventive ways to physically sell their goods and services, and while this was efficient at the time, it only allowed them to reach a limited number of people. You need to use analytics tools to better understand your market, so you can scale your marketing strategies more effectively.
Fortunately, with the evolution of the digital marketing industry, you’re just a few clicks away from reaching your target market. The best thing is that digital marketing is very easy to optimize with analytics, because you can map every aspect of the customer journey in ways that you couldn’t with traditional marketing methods. To maximize this opportunity, you have to play your cards right.
You can accomplish this by utilizing all available analytics tools to create an image of your business in the minds of your current and potential customers.
Some of these analytics tools can help you create a working website. In this article, we’ll run through some of the tips you can apply in order to improve the performance of your website with big data technology.
Let’s delve right into it.
5 Tips to make your website more appealing with analytics
These tips require you to pay attention to your customers’ needs and preferences so that you can optimize your site to meet these needs with data analytics.
1. Use website analytics tools to best links to your advantage
Basically, what you should aim to achieve with your website is a good landing page for your business. In furtherance of this, you have to ensure that every information posted on your site is linkable to credible sources.
Depending on the nature of your business, you can decide what type of link works best for you, especially in consideration of the rate of traffic you want to attract to your site.
Without overstuffing your page, your goal should be to make it easily navigable for your potential customers.
You can use either internal, inbound, or outbound links depending on your target. Although all three links are great ways of improving your customers’ experience on your page, Inbound links have a more prominent SEO benefit.
These links create a flow of information for your customers and enable them to enjoy a seamless experience on your website. They will then patronize you as a result of their positive experience.
By and large, when you strategically place credible links on your website, your customers develop a sense of trust for your product.
Analytics technology can help you better use links. Keep in mind that one of the most important things about link usage for SEO is making sure that your links are used naturally and provide value to your readers. You will want to use website analytics tools like CrazyEgg to see how users engage with your links. This will help you keep them on the site, which improves your engagement metrics for SEO. You will also be able to use analytics tools to model your navigation structure after sites that are ranking well with similar link structures.
Another way you can make your website appealing is by optimizing your social media pages such as your Facebook, Instagram, Twitter, and so on.
Now the online space is highly interconnected and to be able to optimally utilize the benefits available to every internet user, you have to leverage your social media presence.
Leveraging your social media presence involves making sure that all your social media pages are compelling enough to motivate your audience to visit your website.
You have to ensure that it tells a great story of your brand and provokes curiosity in your audience.
To successfully achieve this, you will need to optimize your social media pages by using high-quality pictures and posting premium content.
You could also use hashtags and highlight covers in the case of Instagram, to give these pages a professional look.
By optimizing your pages, you increase customer engagement on these platforms and indirectly influence your audience to check out your website and possibly make a purchase.
Analytics tools are also ideal for helping with social media optimization. Hootsuite and other analytics platforms make it easier to see what kinds of content your visitors are engaging with the most. You can also analyze data to track user growth over time to get a a sense of whether or not your overall strategy is working.
3. Incorporate privacy protection mechanisms for users
One of the downsides of the digital space is the ease at which personal information and data are circulated without respect for the privacy of individuals. This often discourages customers from patronizing businesses or even visiting their websites in the first place.
An issue that stems from this is the need to protect the interest of individuals visiting your website.
As a way forward, various stakeholders have put in place laws and policies to ensure that organizations respect their customers’ privacy and protect their data.
With the passage of the California Privacy Rights Act in 2020, business owners are obligated to develop privacy protection systems for their customers. Data protection is a sensitive issue and you have to assure them that whatever information is shared in the course of their experience on your page is properly protected.
The incorporation of these mechanisms motivates users to patronize your website and this automatically improves its functionality.
You will be able to use analytics to improve your data privacy policy by studying for weak points in your data storage.
If your website is cluttered with so many words, customers and users may get bored and uninterested when they visit your site. Your website visitors go to your website to get information about your product and they should be able to do this with ease.
You have to consider that there’s so much information on the web and as such create adaptive measures that help your product stand out.
One of such measures is the use of images to improve the performance of your website.
By using images that generally explain the content on your page, your audience is able to grasp your message faster.
Also, images create some excitement in the minds of your viewers and give life to your content. It adds color to the white and black print and makes the web visitor better appreciate your brand.
Once you use graphics to augment your website, you attract new customers, retain existing ones as well as improve your website’s audience.
You should use analytics to improve your image selection process as well. You will be able to use website analytics tools to see which images get the best engagement and use them accordingly. you can also run native advertising campaigns or create content on Pinterest to get data on engagement with different images.
5. Post great and compelling content
Great content is crucial in digital marketing and if efficiently utilized, can be a great selling point for your brand.
What you put out on your website determines to a great extent how well your website thrives. As such, you need to strategically create content for your page.
Through your content, you should aim at educating your audience and answering relevant questions about your business. Your website should contain rich resources on the various aspects of your product, what your business has to offer, and general contact information.
To improve the quality of content on your website, it is advisable to take stock of key happenings in your niche and weave your story around such trendy issues. Additionally, through the presentation of these issues, you can convincingly sell your brand to page visitors.
While putting out great content is beneficial to the success of your website, you however have to ensure that everything you post is valid and reliable.
Advantages of a thriving website to your business
The target of every business is to maximize profit and so it is important to know how an outstanding website contributes to the overall development of your business.
As an entrepreneur in today’s world, you cannot run a business successfully without a website. But just having a website is not sufficient. The efficiency and effectiveness of the website are as important.
After setting up this website, you must ensure that you maximize the benefits this digital space provides.
Let’s look at a few advantages.
1. Improved customer engagement
Having an efficiently working website enhances the relationship between the entrepreneur and customer albeit virtually.
Through your website, you can take orders and answer questions about your product.
It allows for a smooth interaction between you and your potential customers by making it easy for them to contact you for your products and services.
2. Builds business credibility
With the use of valid links and viable content on your webpage, you help your page visitors build trust in your business.
What this means essentially is that based on the good experience of these users on your page, you become a credible and authoritative source of information you put out.
3. Increase in conversion rate
Another benefit of adopting these tips on your website is that they can help generate quality leads for your business.
By strengthening your webpage with credible links, compelling content, and images, you automatically attract a wide range of viewers.
You can leverage this by consistently keeping your page alive with new information. Also, by incorporating data protection systems, your audience is assured of respect for their privacy and will be encouraged to patronize your business.
4. Improved brand image
Optimizing your website with these tips is a way to further promote your brand image by strategically selling it to your audience.
Strategic sale here involves properly packaging your product on the site. Again, you can achieve this through the content you put up and your ability to showcase your company’s products and services.
5. Brand visibility
A sure benefit of a thriving website is that it puts your business on the map.
It is a marketing mechanism that allows your business to rank high in search engines once you have fully adhered to the rules of the web.
Analytics is Crucial for Website Development
The significance of a successful website in running a business cannot be overstated. You are going to need to use analytics to make the most of your online marketing strategy.
As an entrepreneur, you must place your website at the top of the board when drawing up business plans and strategies. A healthy website is a long-term investment in the growth of your brand. Your business will certainly improve if you can come up with innovative ways to run your website and follow these tips and use data analytics strategically.
Google Cloud Next ‘21 is over, but the learning is just beginning. With three days of keynotes, deep dives, and announcements, there was a lot to take in! But don’t worry if you missed something—the Google Cloud Blog team is here to round up our favorite announcements of Next ‘21.
The biggest announcements
You can catch up on all the Next announcements in this comprehensive list, but we know that’s a lot! Here are the standouts.
Living on the edge
You get a cloud … and you get a cloud! We think Oprah would approve of Google Distributed Cloud, announced during Monday’s Thomas Kurian keynote: a portfolio of fully managed hardware and software solutions that extend Google Cloud’s infrastructure and services to data centers and the edge. Distributed Cloud is powered by Anthos, which also got a slate of upgrades this week including VM support, and you’ll find it useful in all sorts of situations from running low-latency edge workloads or private 5G/LTE solutions to meeting local sovereignty requirements. Reality at the edge is messy, but managing it doesn’t have to be.
Google security on your side
The Google Cybersecurity Action Team (GCAT) might sound like a cult-classic 80s Saturday morning cartoon lineup, but it’s also a group of security experts we’ve assembled to bring Google-grade security chops to governments and businesses around the world. You can rely on them for threat briefings, proven security blueprints, and strategic sessions designed to help you build a trusted cloud. To get things started, GCAT has released a Security and Resilience Framework using Google Cloud and partner technologies. Now we just need to work on a theme song.
AI breakthroughs for industry
Buzzwords begone. The whole point of machine learning and AI is to do something with it, something that helps your business. So we’ve made Contact Center AI (CCAI) Insights generally available, and also added Contract DocAI to our DocAI lineup. CCAI Insights helps you mine contact center interactions to create better customer experiences—whether your call center is staffed by humans or virtual agents. Contract DocAI makes it faster and less expensive to analyze contracts, the most critical documents of all. Both are business tools that solve real problems—no buzzwords necessary.
Sprucing up with the cleanest cloud
Google Cloud is proud of our sustainability track record as the cleanest cloud in the industry. But we want to help you go even further. With the newly-announced Carbon Footprint tool, every Google Cloud user—that means you!—can access the gross carbon emissions associated with the services you use in Google Cloud. Now you can measure, track, and report your carbon footprint. Plus we’ve integrated sustainability into Unattended Project Recommender, so you can reduce your footprint even further by deleting unattended projects.
Data analytics unite!
Unification was the theme of this year’s data announcements. Vertex AI Workbench launched in public preview—a single Jupyter-based environment for data scientists to complete all of their ML work, from experimentation, to deployment, to managing and monitoring models. But it’s not just for Vertex AI—you can also analyze data from BigQuery, Dataproc, Spark, and Looker in one interface.
And don’t sleep on the private alpha launch of BigQuery Omni, which takes that theme of unification even further by allowing you to analyze data from other clouds using BigQuery. Later this month, you’ll be able to securely query S3 data in AWS or Azure Blob Storage data in Azure directly through the familiar BigQuery user interface, bringing the power of BigQuery to where the data resides.
Collaboration gets cloudier
Google Workspace (the artist formerly known as G Suite) is a core part of Google Cloud, and we announced all sorts of exciting updates and integrations to our collaboration products this year. Client-side encryption for Google Meet, Data Loss Prevention (DLP) for Chat, and Drive labels for sensitive files are all new at Next. Perhaps most critical for organizations is our just-announced Work Safer Program, which helps protect your Google Workspace users against rising cybersecurity threats with industry-leading solutions from Google and our partners.
Keeping the band together
Throughout Next, we were proud to celebrate our most innovative customers, partners, and community members. And we want to keep the good vibes going all year long with our new Innovators community. You’ll get the inside scoop on our roadmap, get access to exclusive events, and much more. Everyone is welcome to join, and we’ll have all sorts of cool opportunities for Innovators coming up. Join the program today to stay informed and come along on the journey.
Keynotes and sessions
The live sessions are over, but you can still register to view sessions on demand through November 5th. We’ve created a collection of themed playlists to guide you—whether you’re a developer, an executive, or an industry expert, you’ll find something helpful here. If you’ve got time for just one session, we recommend CEO Thomas Kurian’s keynote, which covers many of this year’s biggest announcements.
Thanks again for learning and growing with us in 2021. We’ll have more Next recaps and breakdowns coming up on the blog in the weeks to come—stay tuned!
