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Companies Like iMind Use AI for Stellar Video Conferencing Services

Companies Like iMind Use AI for Stellar Video Conferencing Services

Big data and AI technology has led to some major breakthroughs in online video technology. Irwin Lazar, president and principle analyst at Metrigy Research, writes that AI has opened a ton of new doors for video streaming technology.

AI technology can help improve the user experience and capture information during meetings more easily. “AI initiatives are coming from endpoint vendors, meeting software vendors and startups offering unique capabilities on their own or in partnership with meeting platform providers,” Lazar writes.

Video conferencing services offer a host of benefits. One of the biggest is automated transcription with machine learning algorithms. Facial recognition also helps participants see each other’s names and gauge their emotions. They can also use AI to create voice controls over meetings.

A growing number of video conferencing tools use AI technology. Zoom is one of the most well-known video conferencing tools that uses AI, but others are doing an even better job even if they don’t get the same recognition. One of them is iMind. In addition to using AI to improve the user experience, it has a great minimalist interface.

The iMind tool is a video conferencing solution for business purposes. The main reason for iMind to be one of the best platforms for video conferencing is its balanced functionality and wide versatility for various spheres. A reliable and easy-to-use option – what features does it offer to the business users, and how to get the most out of it? Let’s see.

The iMind platform: advantages

As we’ve mentioned, the main advantage of iMind that makes it stand out is its versatility, reliability, and ease of use. These are some of the reasons it is considered one of the best AI-powered apps for video conferencing. These factors are easy to explain by the tool’s core functionality that provides high-quality communication channels even in conditions of free usage. The iMind baseline features include:

Comfortable interface. It’s the first thing people see when start working with the platform, and the simple design accompanied by the comfortable colors makes it easy to handle operating the tool.

Simple algorithms. The main two actions – creating and joining the conference rooms – take only 2-3 steps, so it does not take time to realize how the system works.

Multiple applicability. Users can use the tool through whatever they are comfortable with: smartphone or PC, desktop or browser.

Necessary baseline functions are available in the free plan. You can use recording, noise suppression, multiple screens display, and others with no limits.

Free usage limits are reasonable. They allow for professional use by individuals even for free, with a maximum of 10 rooms available to create and a hundred attendees to invite for one meeting. 

Paid subscriptions offer enhanced features respectively to the company size each plan is designed for. It allows people to use iMind productively.

Thus, we understand that the platform provides the optimal balance for comfortable and effective usage. 

The iMind plans to choose from

To be more specific about the plans, iMind offers four variations:

free use is not limited and has some fair limits that were already mentioned;

the pro option provides more freedom of action as it offers to create unlimited rooms, use online chat, create individual branding for meeting rooms, and manage the rooms by one or several users by your choice;

the business subscription is suggested for bigger companies and provides opportunities for more independent remote interaction: linking through a custom subdomain, everlasting recording storage, live streaming, and personalized customer service;

the enterprise plan extends the limits to the possible maximum and is dedicated to large businesses as it offers on-place delivery, individual manager for support, cloud monitoring, localization, and other advanced features. 

To decide which plan is the most convenient, visit the website or contact the sales dep.

How to start working with the platform

It’s easy to start working with iMind. All you need is to:

Visit the website. 

Sign up through the corresponding button.

Choose which data to use to join the platform.

Start working with the Free plan (you can change it later at any moment).

Explore your profile page.

It has several zones, the main of which is the space for the meeting room links. To create the first room, find the button Create above, and write the name for your future room. This name composes the link for the conference room you share with your attendees later. Consider that the name should be unique for every room. 

iMind is a Stellar AI-Driven Video Conferencing App

There are a lot of great AI-driven platforms for video conferencing. iMind is among them. It uses AI to create a stellar video conferencing experience. Platforms for video conferencing may have a different focus, and that’s why it’s tricky sometimes to choose one to organize your remote communication through. iMind helps solve this issue and offers a universal solution for the majority of possible purposes. Use it yourself to realize the difference and enjoy the communication experience available in the conditions the iMind tool provides!

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Top 5 Reasons You Should Become a Data Analyst

Top 5 Reasons You Should Become a Data Analyst

Data has unquestionably had a huge impact on our lives. It is becoming more prolific as well, as 2.5 quintillion bytes of data are generated every day.

Data is everything in today’s tech-driven world. Every company collects data, analyzes it, and makes its marketing and sales strategies based on the data’s results to attract more customers and increase sales and profits.

Here comes the role of the data analyst. They are highly-skilled individuals that gather and analyze the data to cater to various problems and provide solutions faced by different organizations or even individuals.

Data analysts work in many industries and can support companies with focuses ranging from retail to healthcare to IT companies etc.

If you are considering a data analyst career, here are some reasons that may help solidify your decision. So, without further delay, let us get straight to the topic.

1.     In Demand Profession

Unsurprisingly, those pursuing careers in data analysis are highly sought after. Companies need professionals with the skills and knowledge to analyze data effectively, helping them make strategies to increase leads, sales, revenue, and overall profits.

You can land a job just after completing your degree or even if you are in your final years; this also shows this career’s demand. Not only is this career in demand, but growing.

As a data analyst, you will learn several technical skills that data analysts need to be successful, including:

Programming skills

Machine learning knowledge

Data visualization capability

Data Mining skills

Data wrangling ability

Many professionals pursue careers in data analysis by obtaining data science online masters or on-site, depending upon their preference.

You can also choose the mode of education as per need; if you are working in the industry and want the degree to climb the professional, then opt for online mode, or if you are just continuing your studies after your bachelor’s and love learning on-site, you can choose the on-campus option. 

2.     Advance as a Leader

In addition to having the technical skills needed to succeed as a data analyst, those in this profession also need strong people and leadership skills.

As a data analyst, you will directly manage your organization’s data, its data managing team, if you are a team lead, and data strategy. It means that you need to be able to collaborate effectively with others, as well as communicate data insights and findings.

Data analysts usually have comprehensive and always-changing skill sets. As a result, they become more confident by juggling multiple tasks and priorities while improving crucial collaboration and presentation abilities. These qualities can help them progress to becoming managers and leaders in their organizations.

3.     Work in a Variety of Industries

Data analysts are in high demand across many industries, from healthcare to finance to education to tech, etc.

With data analytics skills, you can pursue data analyst jobs in various fields and industries, including government, retail, education, and more. It means that data analysts can work on a wide range of projects and data sets, giving you greater variety in your career.

Additionally, data analysts can often take advantage of opportunities for career advancement and leadership roles, which are also plentiful in various industries.

Data analyst positions are projected to grow speedily in the coming years, making data analytics a great career choice.

With the nature of the data constantly growing and changing, data analysts have the opportunity to stay on top of new trends and technologies, making data analytics an exciting and rewarding field.

4.     Boost Problem-Solving Skills

As data analysts work with data daily, they need to be able to think critically and approach complex data problems. It requires sharp analytical and problem-solving skills, which data analysts must constantly develop and refine to succeed. 

Whether you are working on data analysis projects or managing data operations, data analysts must constantly be able to identify and solve data-related problems.

With data analytics skills, you can tap into your ability to think critically and solve complex data problems. 

Staying ahead of data trends is essential to success in any field, and data analysts are uniquely poised to do just that.

After doing a degree in data analysis, you can easily hone the problem-solving skills that can help you in your professional and personal life.

5.     Good Salary

Lastly, the other main reason to become a data analyst is that they get a good and lucrative salary as they are high in demand. Note that the annual national average salary of a data analyst is around $66,283.

So, if you need a good-paying job, you should opt for a data analyst job.

Conclusion

Data analysts are in high demand, and their career prospects are promising. If you’re good with data and enjoy working with it, becoming a data analyst is a great choice.

There are many reasons to become a data analyst, but the above top five stand out the most. If you’re on the fence about whether or not to pursue this career, jump off and go for it. You won’t regret your decision.

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How Artificial Intelligence Can Improve Your Fundraising Efforts

How Artificial Intelligence Can Improve Your Fundraising Efforts

AI technology has radically changed the future of many industries and is changing the way companies do business forever. Most of the discussions on the benefits of AI focus on helping traditional businesses boost their bottom line. In our capitalist economy, this is not surprising.

However, AI also offers many benefits for nonprofits. Dr. Lobna Karoui of the Forbes Nonprofit Council wrote an article on the many excellent benefits of AI. She cites a poll stating that 89% of nonprofit leaders believe AI technology can make a huge difference in their field. Karoui further asserts that AI can help nonprofit leaders improve efficiency and expand their reach. One of the biggest benefits pertains to fundraising.

Fundraising for humanitarian purposes is more challenging than the average person thinks. In many cases, a non-profit organization will spend a considerable chunk of the money they receive from a donor to find a new donor. Worse still, retaining donors is more challenging than finding new ones. Non-profits constantly spend time and resources sourcing for new income streams instead of pursuing the cause they were created to attend to.

Most non-profits get new donors to back them by investing time in answering questions about their cause and convincing them to give them money. The enormous time this takes, coupled with the constant need for more money, stops them from spending time to connect with their previous and existing donors to build good relationships.

Some non-profit organizations have begun using artificial intelligence to assist their fundraising efforts, and it is yielding results. With AI, simple and repetitive tasks can now be automated, thus reducing operating costs and increasing efficiency. There are also software companies like Gravyty that dedicate their services to providing AI support to non-profits so they can improve their relationships with donors. Here are some artificial intelligence tools that can help fundraisers be more effective:

Software that can identify potential donors from internal data sets.

Algorithms that can analyze the data of donors and suggest how to customize the appeals to be forwarded to them.

Tools that can profile prospective donors from social networks or other public spaces.

Online chatbots that can answer frequently asked questions about the non-profit and act as an interface between the public and the organization.

There are ways the management of non-profit organizations can improve their fundraising practices and save time, and some of them are:

Greater Focus On Donor Retention Rates

Donors make or break a fundraising organization, so they should be prioritized. Many businesses use Customer Relationship Management software to manage their relationships with clients and customers, and non-profits should do the same with their donors. There are many benefits of using CRM software, and effective use of it will improve relationships with donors, thus increasing revenue.

Schedule Regular Meetings With Donors

Have an automated calendar that can remind you of upcoming events and use it to schedule meetings with donors and other essential parties to the non-profit. Do not treat your donors like ATMs. Have regular meetings with them to discuss what you want to achieve, and updates on the causes they have previously donated to. Remember not to reserve this treatment to only major donors. Speak to donors at every level, and you will likely increase your retention rate.

Be Ethical With AI Usage

Artificial intelligence is powerful if used correctly. However, it is not a perfect replacement for a real human being. While using a chatbot, it is best to let people know that the system is automated, so if they do not get a satisfactory response, they will understand why. Also, when collecting people’s data with AI, do not misuse it. Ensure that all AI-fundraising practices are done ethically.

Endnote

AI is a helpful tool for businesses, and if used correctly, it can help increase operational efficiency and revenue. Non-profit organizations can also integrate it into their systems to improve their fundraising efforts and donor retention rate.

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Top 8 Machine Learning Development Companies in 2022

Top 8 Machine Learning Development Companies in 2022

Over 91% of leading businesses use AI technology. It has opened the door for companies to improve their business models in many ways.

There are a number of great applications of machine learning. One of the biggest benefits is testing processes for optimal effectiveness.

The main purpose of machine learning is to partially or completely replace manual testing. Machine learning makes it possible to fully automate the work of testers in carrying out complex analytical processes. Based on the changes it has created, most experts agree that the primary goal of Machine Learning in this context is to reproduce more accurate predictions. This will allow marketers, business owners, and IT-sphere employees to make the right decisions in developing and creating new products.

As a result of the activity of artificial intelligence, the machine learns, remembers, and reproduces the correct option. ML opens up new opportunities for computers to solve tasks previously performed by humans and trains the computer system to make accurate predictions when inputting data. One example is using machine learning tools like Selenium to test web development processes. It stimulates the growth of the potential of artificial intelligence, being its indispensable assistant and, in the view of many, even a synonym.

Machine learning is used in many industries. It allows for optimizing the work of banks, restaurants, factories, and even gas stations. It is also often found in Internet sales and the organization of chatbots. It applies to any workflow implemented in software – not only within the traditional business part of enterprises but also in research, production processes, and, increasingly, the products themselves. Machine learning can now compete with the precision of even surgeons. Instead of specifying what the software should look for, programmers “teach” the XI using a collection of applied images. Companies that work on machine learning for health care, like Google, create large groups of medical images selected by physicians. Machine learning algorithms use these sets of visual data to look for statistical patterns to identify which image features allow you to assume that it is worthy of a particular label or diagnosis.

Neptune shared a blog post on the benefits of using AI to improve testing capabilities. Many other companies have shared even more interesting benefits of using machine learning in testing.

Top ML Companies 

Data is called the new oil: by analyzing information, predicting key business parameters, and finding better solutions, you leave your competitors far behind. That’s why partnering with ML companies is a great solution to bring the latest innovative technology and solutions into the business so that organizations improve service, anticipate the future, automate processes, increase and drive sales, reduce costs in production and prevent risk. Here are the top 8 trusted partners:

1.      Brights

Our leader has more than 100 employees and over 400 successful cases for clients from different parts of the world – this is the Brights. The company is already 11 years and growing. Brights’ machine learning experts can help you and your business explore new privileges and learn more. The company develops custom solutions for automating the processes of large companies and startups from scratch. Most often, these are turnkey projects: Brights independently design, conduct research, prototyping, and testing. 

2.      Dataiku 

Dataiku is an AI software and machine learning company that offers AI services to democratize data. The company believes that business empowerment is possible through data services and collaboration. Dataiku provides various AI tools and software to help with customer churn, fraud detection, supply chain optimization, predictive maintenance, and more. Everyday AI is a core concept of Dataiku, where the systematic use of data for everyday operations makes businesses competent to succeed in competitive markets. Dataiku helps its customers at every stage, from data preparation to analytics applications, to implement a data-driven model and make better decisions. 

3.      Veda

Veda technologies enable faster data processing, task automation, and organization of patient information. With ML capabilities, these tools eliminate errors and process data at a rapid pace. As a result, medical organizations can complete file processing within 24 hours. The company’s solutions solve repetitive and data-related tasks, allowing medical facilities to work more efficiently and physicians to focus their energy on patient care.

4.      IBM

IBM is primarily known for its own artificial intelligence engine used in research and commercial products. It offers AI for decision-making, language processing, and intelligent task automation. Watson was initially designed to compete with humans in games such as Jeopardy. Today, their technology can be integrated into virtually any workflow, from human resources to finance to supply chain management.

5.      DataToBiz 

DataToBiz is one of the most promising AI companies of our time. The company analyzes AI and big data and helps organizations manage their data resources and find the best ways to extract information from data so they can make data-driven decisions. DataToBiz offers comprehensive solutions to help businesses succeed with advanced technologies such as machine learning, artificial intelligence, and data science. The company’s solutions are flexible, scalable, and cost-effective. The team has years of experience and a satisfaction rate of over 97% because it dives deep into data to uncover its essence and dares to act.  The company is a certified partner of Google Cloud, Microsoft Azure, and AWS. It helps enterprises overcome challenges by implementing data-driven models. 

6.      Indium Software

Indium Software is a leading provider of digital engineering solutions with deep expertise in application development, cloud engineering, data and analytics, DevOps, Digital Assurance, and gamification. Indium’s key differentiators are its specialization in low-code development, Ai text analytics, and partnerships with technology companies such as Mendix, AWS, Denodo, and Striim. The company works with clients from around the world. Indium Software provides AI & ML services to develop self-learning algorithms, learn from data and draw conclusions without human intervention. Industry influencers such as Forbes, Dun & Bradstreet, and Clutch have recognized us as trusted digital engineering partners for innovative startups and promising enterprises.

7.      Altoros

Altoros is an experienced IT service provider that helps enterprises improve operational efficiency and accelerate product innovation by reducing time-to-market. Our customers gain a sustainable competitive advantage by leveraging the power of cloud automation, microservices, AI/ML, and industry expertise. Altoros AI solutions help companies handle routine tasks. Altoros has five global offices. The company has 18 years of experience and has completed 1400 projects. It is headquartered in Silicon Valley.

8.     Digica

Digica researches, implements, and commercializes intelligent software across the AI spectrum, focusing on deep learning in computer vision and “AI at the edge.” Digica’s strength is the combination of its expertise in AI with world-class software development. The company works with large companies and innovative startups in many industries, including automotive, defense, medical, technology, and telecommunications. Digica is committed to advancing AI and is fueled by the rapid growth of smart devices at the network’s edge – smartphones, smartwatches, and sensors installed on machines and infrastructure.

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3 Ways AI Has Led to Horrifying Cybersecurity Threats

3 Ways AI Has Led to Horrifying Cybersecurity Threats

AI technology is driving some tremendous changes in digital technology. Many of the developments brought on by AI have been beneficial.

However, some of the changes created by AI have been harmful. One of the biggest examples of problems caused by AI is the growing threat of cybersecurity threats. A growing number of hackers are finding innovative ways to weaponize AI technology to commit cybercrime.

As these threats worsen, organizations and the cybersecurity experts they depend on will need to be aware of the threats AI poses in the hands of hackers and find ways to use AI to fortify their own defenses in turn.

What Are the Biggest Ways Hackers Use AI to Exploit their Targets

As a business owner with a strong online presence, you definitely want to do everything you can to ensure that your website stays as safe and secure as possible. The last thing you want is to be hacked by cybercriminals and have your company’s and customers’ data fall into the wrong hands. In order to prevent this from happening, it is important to be aware of any current digital security threats.

Sadly, AI technology is only making cybersecurity threats worse than ever. Bob Violino wrote an article in CNBC that said both cybersecurity experts and black hat hackers are using AI technology. However, cybercriminals seem to be benefiting the most from AI, which means that cybersecurity experts need to be more diligent and innovative to use it effectively.

With this in mind, let’s start by looking at three of the top current digital threats that are becoming worse due to AI technology, as well as how to prevent them from happening to your company:

1. Ransomware

Ransomware is one of the top cyberthreats that is currently threatening small and medium sized businesses, according to Forbes. As its name implies, hackers will get access to your network and then demand that you pay ransom in order to get your data back. Since most ransomware attacks begin with malware infecting computers, often through phishing emails, it is important to educate your employees about how to recognize and delete these messages. In addition, backing up your data on a regular basis can also be helpful; this way, if a breach does take place, you can quickly restore your data with very little downtime.

In May, Kyle Alspach wrote an article about the terrifying threats that AI-powered ransomware attacks pose. Mikko Hyppönen, a renowned expert on cybersecurity topics, wrote that these ransomware attacks will become even more horrendous as hackers become more proficient at using AI to automate many of their strategies.

2. Inferior “Cyber Hygiene”

Another reason cybercriminals are gaining access to websites is because the companies and their employees are practicing what is referred to as poor cyber hygiene. This term relates to the way you and your team use your company’s technology, and how careful—or careless—people are about safeguarding sensitive data. Examples of inferior cyber hygiene include not using two-factor authentication to access company accounts, jotting down passwords on sticky notes, using unprotected Wi-Fi networks, and misplacing personal devices which have been used for work. 

This is also going to be a greater threat as more hackers use AI to identify weak targets. Hackers usually try to target targets with the weakest security, so they will use AI to automate their process of finding potential victims.

To help improve cyber hygiene, start by requiring two-factor authentication, use a password manager program, and ask that employees not use personal devices for work. Also, to help ensure that hackers will not be able to gain access to usable information, it is important to make sure that your company SSL certificates are current. Basically, when you buy an SSL certificate, it will make sure that data that is sent between a customer and your website is impossible for hackers to read. To make the process of monitoring security certificates as easy as possible, you may want to invest in an SSL certificate manager program through a company such as Sectigo. It offers other innovative digital security solutions in addition to SSL certificate authority, including PKI management, private PKI, and private CA services.

3. Credential Stuffing

Credential stuffing refers to when a cybercriminal uses stolen credentials from one company to access another. The hackers usually get this data from a breach or sometimes by purchasing it from the dark web.

They can use AI to make these attacks even worse. Machine learning tools help them find connections between various organizations, so they can use credential stuffing more effectively.

Unfortunately, this type of attack is becoming more common and it is harder to trace, mainly because the crooks have paid for a list of valid usernames and passwords, which they are then using to access other sites. Fortunately, credential stuffing can be prevented by making sure that your employees do not use the same password for different websites. Requiring multi-factor authentication can also help prevent credential stuffing from being successful.

Being Proactive Can Help Prevent Digital Threats as Hackers Become More Brazen with the Use of AI

Cybercriminals are always looking for new ways to access sensitive data. AI technology is making these criminals even more frightening. The good news is that cybersecurity professionals can take more precautions to fortify their defenses as AI becomes a greater threat than ever. Smart cybersecurity experts will find ways to use AI to fight hackers as well.

Being aware of their latest tactics, and then taking a proactive approach, may allow you to prevent a security breach from affecting your company’s website. By teaching your team to avoid phishing scams, enacting two-factor authentication, using an SSL certificate and PKI manager program, and practicing superb cyber hygiene, your will go a long way in boosting your digital security.

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Strategies to Make Better Profits for CPAs During Tax Season

Strategies to Make Better Profits for CPAs During Tax Season

As soon as the tax season starts in the US, accounting professionals and CPAs get their hands full, smoothing out tax preparation and filing the subsequent returns. This involves gathering data and organizing documents.

Tax filing is an ongoing process that runs throughout the year and has great responsibilities attached to it. 

When ignored, things can run out of hand at the eleventh hour and become chaotic. Therefore, CPAs and accounting firms must prepare in advance and stay ready for the accounting season. 

In addition, even an insurance agency must ensure that the taxes are paid before the deadline to avoid penalties from government agencies. Availing of all the tax deductions is also necessary, and professional insurance accounting services can help you in this regard.

Plan for Tax Season Before it Gets Started

Procrastination is the worst thing to do when you are a CPA or an accounting firm.

Even the best professionals cannot estimate the work coming their way accurately; it is best to reach out to your clients and ask them questions about how much workload they would be sending your way.

Also, let them ask you questions. Clients may wonder when car insurance is tax deductible or whether inherited assets need to be reported, and this can tell you what their future needs will be.

What amount of work are you expecting to flow in your way as the tax season kicks in? as soon as you can estimate, you will have ease in preparing for it. However, you must break down the question into smaller parts, including: 

#1 – Will you work exclusively with your existing clients?

#2 – Will you try and get new clients?

#3 – When and how will you get tax work from your clients?

With this information, you will be able to get the desired resources arranged for your taxation needs and also calculate if the work you will be getting is enough for your existing resources. 

Work on Your Staffing Needs

The accounting industry has been dealing with resource shortages for a long time. This means that majority of the tax firms are working with limited staff, and with the tax season closing in, they need better staff planning to boost productivity. 

You must also consider your competitors who are operating in the same way and doing business. You must ensure that the supply and demand gap in your staffing is dealt with effectively. 

The above chart shows that 31% of accounting firms in the industry claim recruiting and retaining good employees is a major challenge. You might be one of these accounting firms if you do not plan your resources well right now.

To overcome the staffing challenge, smart firms are now utilizing tax preparation outsourcing services.

Consider Work-Life Balance

With tax season growing big, accountants and CPA accounting services providers need to work for extended hours. The working hours stretch over 10 hours a day and can take a toll on your mental and physical health. As a result, striking a work-life balance becomes a tough challenge for CPAs.

You must get as much support from your friends and family as possible. When you have three factors (balancing work, family, and accounting reporting) in the equation, negating the first two can hamper the third component easily.

If you find you are running short of staff and your existing tax preparers are overburdened with the work coming your way, you must consider tax preparation outsourcing services.

Choose Tax Preparation Outsourcing Services

Outsourcing has become a savior for tax firms during tax season and beyond. To become a profitable accounting firm, you must have a clear understanding of tax preparation outsourcing services and how it works.

Tax outsourcing services work seamlessly with your internal department wherein:

You send them scanned client documents for tax preparation.

The tax preparation services provider then uploads the scanned documents and relevant tax files to a US data center.

These documents are accessible to Offshore taxation professionals, who then organize them into a Web-based file and process tax preparation.

The returns are sent to the accounting firm in an electronic file which can be edited if needed.

Tax preparation outsourcing services can contribute greatly to an accounting firm and CPA’s productivity and efficiency. With tax preparation professionals taking the preparation job, CPAs have more resources to dedicate to other core activities and business processes. 

In addition, outsourcing firms have the best-in-class professionals who are trained and verified to work on the tax preparation process and deliver exemplary results.

With tax preparation outsourcing, you can take up new clients which you would otherwise turn down due to a lack of resources. Also, you can save the hiring cost of additional staff and other expenses associated with the staffing for the rest of the year.

Automate Processes to Eliminate Errors and Streamline Workflow

The taxation industry was already suffering from great burnout concerns which got intensified with the “Great Resignation” prompted by the Covid-19 pandemic.

The turnover rate in the industry skyrocketed as soon as the lockdown was imposed all across the US. This made processes sluggish and affected the profitability of CPAs significantly.

The smart players of the industry took a better route by adopting automated accounting software that eliminates manual work from the process.

The accounting software options available in the market took care of the statement collection, data entry, reconciliation, and workflow reporting for accounting.

Moreover, accounting software can easily handle the tedious job of data entry and also make data available to CPAs in real time. Therefore, the best outsourcing services companies use this software, helping CPA accounting services providers save costs further and earn efficiently.

Any accounting firm operating without cloud-based software in the current times is falling behind the competition. With tax season closing in, you stand no chance against your peers who have adopted automation to eliminate manual jobs and errors.

Moreover, with the increasing rate and complexity of real-time e-commerce transactions, accounting firms and CPAs have a tough battle to fight, for which automation software for accounting processes can serve as a weapon.

Make Reviewing Client’s Documents a Monthly Process

Working on your client’s bank statement at the end of the year makes the job even more complicated. The more clients you have, the worse the workload will become on your staff. Make it a habit to review your client’s statement every month. 

You can always request that your clients share their bank statements with you on a monthly basis. This will save you from unending efforts of sifting through the client’s bank statement for a year all at once. Also, this eliminates errors that often result from excess data entry in a limited time.

By eliminating these errors, you can file returns in time, building a credible client professional profile and avoiding incorrect or fraudulent tax return issues.

The accounting industry is evolving, and changes are rapid. More professionals are retiring from the industry than coming in, which has created a huge gap between supply and demand. 

Therefore, it is important to adopt new technologies to overcome ongoing challenges. Technology allows accountants and CPAs to perform their jobs efficiently and eliminate errors. Moreover, they can build strong relationships with the clients, building credibility and securing better profits.

Accountants and CPAs must manage their staffing needs and bring new staff on board as soon as possible. It is better to trust credible tax preparation outsourcing services to take up your business’s challenging tax preparation job while focusing on other strategic matters. 

The main stakeholders of accounting firms and small businesses, as well as CPAs, can dedicate their minds and resources to the core business activities for the current and upcoming years.

You can boost your productivity with tax preparation outsourcing services. Search for the right service provider now and get the best services that align with your scalability goals.

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Upskill for in-demand cloud roles with no-cost training on Coursera

Upskill for in-demand cloud roles with no-cost training on Coursera

Cloud technology has experienced accelerated adoption in recent years, with continued growth expected into 2023.1  This means that the need for organizations to attract and retain professionals with cloud skills continues to grow in parallel.2  

Keep your cloud career growing, at pace with digital transformation 

In partnership with Google Cloud, Coursera is offeringno-cost access to some of our most popular cloud training to help you hone your skills and stand out in the job-market. Whether you’re looking to enhance your technical competencies, advance your career, acquire more hands-on experience, or earn learning credentials to validate your knowledge, we have resources available to support your journey. 

Future-proof your career with select no-cost training and earn certificates

Claim one choice from a variety of popular Google Cloud Projects, Professional Certificates, Specializations and courses, available to claim until December 31st, 2022. 

The Google Cloud training included in this promotion spans a variety of roles, like machine learning engineering; data engineering; and cloud engineering, architecture and security. Training content is available for both technical and non-technical roles, from foundational to advanced knowledge and experience levels. The training descriptions include any prerequisite knowledge you should have before getting started.

The time requirements for completion also vary, so we’ve summarized it below to help you make your choice, and pick the level of commitment that is right for you. When you finish the training on Coursera, you will earn a certificate that you can share with your network on social media and your resume. 

Types of Google Cloud training available on Coursera 

Here is a rundown of the different types of training available on Coursera included in this offer, in order of time required to complete it:

Projects: Approximately 30-90 minute time commitment to complete

Learn new skills in an interactive environment by using software and tools in a cloud workspace with no download required.

Courses: Approximately 4-19 hour time commitment to complete

Courses typically include a series of introductory lessons, step-by-step hands-on exercises, Google knowledge resources, and knowledge checks. 

Specializations: Approximately 2-6 months time commitment to complete

Specializations are a series of courses that help you master a skill, and include a hands-on project. 

Professional Certificates: Approximately 1-9 months 

Professional Certificates include hands-on projects and courses, and upon completion you will earn a Professional Certificate. These can help you prepare for the relevant Google Cloud certification exam. 

Here is a look at some of our most popular training for in-demand cloud roles

Work through training at your own pace, and upskill for the role you’re in, or the one you’re looking to grow into. Popular training for in-demand roles include:

For those in non-technical roles, working closely with cloud technology 

Professional Certificate – Cloud Digital Leader 
This is a foundational level series of four courses designed to give you knowledge about cloud technology and data, and digital transformation. It helps increase confidence in contributing to cloud-related business initiatives and discussions. If you’re in a tech-adjacent role such as sales, HR or operations, you will benefit from this training. 

For Application Developers 

Specialization – Developing applications with Google Cloud
This Specialization is built for application developers who want to learn how to design, develop, and deploy applications that seamlessly integrate managed services from Google Cloud. It includes a variety of learning formats, including labs, presentations and demos. Labs can be completed in your preferred language: Node.js, Java, or Python. You’ll learn practical skills that are ready for immediate use in real IT environments.

For experienced ML and AI Engineers 

Professional Certificate – ML Engineer
Prepare for Google Cloud Certification with the Machine Learning Engineer Professional Certificate. This is an intermediate-level training recommended for participants who have data engineering or programming experience, and who want to learn how to apply machine learning in practice and to be successful in a machine learning role. There are 9 courses in this Professional Certificate, and completion time is about 7 months at the suggested pace of 5 hours per week. 

For beginners with Google Cloud in technical roles

Course – Google Cloud Fundamentals for AWS Professionals
This course introduces key concepts and terminology through a combination of videos and hands-on labs that can be completed in approximately 9 hours. You’ll learn about the components of the Google network infrastructure and differences between infrastructure as a service and platform as a service; how to organize projects and interact with Google Cloud; and jump into Google Cloud Compute Engine with a focus on virtual networking. 

For beginners in Data Engineering 

Project – Introduction to SQL for BigQuery and Cloud SQL
This is a self-paced lab that takes place in the Google Cloud console, giving you interactive practice running structured queries on BigQuery and Cloud SQL. This is a beginner level project that takes about an hour to complete.

As the year comes to a close, it’s a great time to prioritize growing your cloud skills. Check out our no-cost Google Cloud training offers on Coursera, available until December 31, 2022.

1. According to Forbes: The Top 5 Cloud Computing Trends in 2023
2. According to Forbes: From Crisis to Opportunity: Tackling the U.S. Cloud Skills Gap

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How To Cultivate Data-Driven Decision-Making In Your Workplace

How To Cultivate Data-Driven Decision-Making In Your Workplace

The benefits of investing in big data cannot possibly be understated. A report by McKinsey showed that data-driven companies have 15-25% higher earnings before interest, taxes, depreciation and amortization.

Most of the discussions on the benefits of using data have centered around larger companies, but smaller firms should take advantage of big data as well. In today’s competitive world, the most successful businesses and organizations put data at the heart of everything they do. Whether it is hiring the right people for the job, responding to industry forecasts or identifying consumer behaviors, data forms the foundation for better decision making. Simply put, prioritizing data-driven decision-making in the workplace can help employees make informed decisions, develop strong strategic initiatives and achieve measurable goals for further organizational success. As we pointed out before, Google is one of the many companies that uses big data to drive its decision making processes.

If you’re a business owner or manager who is looking to foster a positive culture of data-driven decision making but aren’t exactly sure where to begin, then this is the read for you.

Today, we share 6 expert tips on how you can cultivate data-driven decision-making in your workplace as a manager or business owner, so read on to find out more!

Understand It Starts At The Very Top

The first and arguably most important element when it comes to cultivating data-driven decision-making as a business owner or manager is to understand that it starts at the very top. Companies with strong data-driven cultures tend to have top managers who lead by example and set expectations that decisions must be anchored in data. This is why more business managers are enrolling in data analysis courses to equip themselves with sufficient knowledge in current industry practices surrounding data analytics. Equipped with this knowledge, business owners and managers are better able to lead by example, and support employees in embracing data-driven decision making in the workplace. 

Offer Learning Opportunities and Training

The real key to instilling a culture around data is to constantly create new opportunities for workers to engage with analytics themselves. Just as it is vital to ensure that upper management is provided with updated data analysis knowledge, it is equally important for managers and business owners to offer employees learning opportunities and training in the field. As such, department leaders are encouraged to start conducting data literary sessions, workshops, courses and more to empower employees and further push the importance of data-driven decision-making in your workplace. Aside from educating employees on the importance and need for data analytics, workers should also be made aware of how to not just use the tools you provide, but how these tools can also be leveraged to improve their day to day role in the organization.

Even outside the realm of data analysis, business owners should be sure to never underestimate the power of learning by doing as well. At the end of the day, when both employees and fellow management are able to see the tangible results of a data-driven decision made by upper management, they are more likely to trust in the potential of evidence-based decision making themselves.

Hire Data-Driven Talent

It comes as no surprise that one of the most effective ways of cultivating a data-driven workplace is to start at the very beginning by investing in data-driven talent. Your business’ onboarding and HR department should always test for curiosity, analytical thinking skills, and the ability to pick up tools and concepts quickly during your recruitment process. When interviewing candidates, always encourage them to show off their data curiosity.

With that said, you don’t have to hire the ‘perfect’ candidate, but instead, look towards individuals who have the potential to learn more and further develop their fundamental skills. In doing so, you’ll find that you’ll have a much easier time building the data-centered culture you are striving for. 

Set Up The Right Infrastructure

Setting up the right infrastructure is truly equally as important as educating your staff on making data-driven decisions. Without proper databases or other infrastructure like analytics tools that are conducive to your team members gaining data insights, your goal of a data-driven workplace can quickly become a pipedream.

To ensure that this isn’t the case, managers are encouraged to have open discussions with all employees, and to find out what tools they need in order to access the data they require. To start off, it helps to work with a baseline of SQL and BI tools (Tableau, Looker, Mode etc) to build charts using daily, weekly, or monthly reports. Start simple and expand it from there.

Use Data To Drive Meaningful Change

While the ultimate goal in shifting towards a data-driven workforce is to deliver business results, managers may find it useful to utilize data as a means of driving meaningful change in the workplace. Your employees are the life-blood of your organization, and analyzing data to improve employee working conditions, morale, engagement and benefits are critical for long-term success.

For example, through the democratization of data, employees can be encouraged to find alternative, more efficient routes of conducting data analytics and taking more charge of their own professional responsibilities, thus improving overall employee efficiency, motivation and morale. Employees that are able to appreciate the value of data and how it can benefit them in their daily tasks are much more likely to adopt and embrace the concept as a whole. In a nutshell, business owners should be sure to utilize data to help your employees, not just your customers! 

Create A Positive Feedback Loop

Last but not least, developing a reward mechanism that acknowledges your workers’ efforts is critical in ensuring the success and longevity of your business in the digital age. Used effectively, incentives and rewards help to build employee motivation and engagement that will inevitably contribute to your organization’s ongoing success. 

As such, sharing data successes within the organization is important to inspire others and develop a healthy, competitive, data-driven culture. The practice of incentivizing tasks and achievements in the workplace is certainly not a new one, and managers are always encouraged to create a positive feedback loop regarding data-driven decision making in the workplace.

In today’s dynamic marketplace, the ability for organizations and businesses to use data to spot opportunities, identify challenges and adapt to change with agility is critical to its success and longevity. We hope that these 6 tried-and-tested methods of cultivating data-driven decision making in your workplace prove valuable in achieving your goals and taking your business to the next level.

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Amazon Web Services (AWS) Benefits of Cloud-Based Enterprises

Amazon Web Services (AWS) Benefits of Cloud-Based Enterprises

Cloud technology is transforming the future of business. A growing number of companies are finding new ways to leverage the cloud to improve their operations. Gartner conducted a survey of nearly 270 tech company leaders, which showed that cloud technology was the biggest investment for innovation in 2021.

The number of companies migrating to the cloud will continue to grow. We shared a blog post on seven well-known companies that shifted to the cloud, but many small businesses are using cloud computing as well.

If you want to take advantage of cloud technology, you need to consider the different options available to you. One of the best known options is Amazon Web Services (AWS).

What is Amazon Web Services (AWS)?

AWS is a collection of remote computing services (or web services). This collection constitutes a cloud computing platform.

AWS Cloud is a suite of hosting products used by such services as Dropbox, Reddit, and others. However, Amazon Web Services can be used by startups just as much as enterprises.

AWS is a cloud computing service. You can use it instead of a private hosting (or dedicated hosting). That comes in handy when starting or developing a business. We talked about the benefits of using AWS for SaaS business models, but it can help with many other businesses too.

AWS Pros

As a service, Amazon provides several benefits that made them widely popular.

Free Trial

EC2 is not a traditional hosting solution. It is designed to provide servers online and offline in the fastest way possible. You don’t need specific knowledge to run it. Because of that, many IT professionals were suspicious of EC2 and AWS in general.

Their main concern is that you need to play around with the platform in order to figure out how it works.

A one-month free trial period allows you to run a micro instance 24/7.

The package includes:

S3 storage,

EC2 compute hours,

Elastic Load Balancer time,

and more.

All of the above lets the developer fully test Amazon API web services for their software. This works both ways – the coders can improve the software. And Amazon introduces AWS to the potential users. That benefits in the long run.

Only Necessary Payments

Amazon implemented an innovative pricing model for their hosting. Every service is a-la carte – you only pay for the components you use.

This is extremely handy for server infrastructure. The site grows and traffic volume can rise and drop , since traffic volume can jump up and down pretty drastically, especially with the growth of the site.

Unlike traditional servers AWS doesn’t charge you for the downtime periods.

A Lot Of Available Services

Amazon Web provides quite an amount of available features. Most important of them are listed below.

Compute

AWS Lambda. This service allows you to run code in the cloud without managing servers. This is very cost-effective because you only pay when using the cloud for computing;

Amazon EC2 (Elastic Compute Cloud).It is a virtual machine in the cloud, which makes it possible to run a cloud server at any time;

AWS Elastic Beanstalk. An automated deployment and provisioning tool.

Networking

Amazon VPC.  A networking environment in the cloud. It allows you to create a private environment in the cloud that uses the same concept and design as a local area network;

Amazon Route 53. This is a highly scalable and affordable Cloud DNS (Domain Name System). Route 53 aims at developers and businesses. It is a reliable and cost-effective way to distribute users across Internet applications.

Migration

The Database Migration Service (DMS). A migration tool.  You can use it to migrate local databases to AWS. And from one database to another;

The Server Migration Service (SMS). This migration tool transfers from local servers to AWS;

Snowball. A tiny piece of software for data migration. Tb of data can be seamlessly transferred within and outside the AWS environment.

Database

Amazon RDS. This tool allows developers to easily customize and simplify relational database management and scaling. Plus – perform it  in the cloud as openly as possible;

Amazon DynamoDB. This is a fully managed database with a high degree of flexibility and speed. It provides high, reliable performance and scalability.

Storage

Amazon Glacier. A very low-cost storage service. The storage is secure and fast. You can archive your data for long-term storage;

Amazon S3 (Simple Storage Service). An object storage that provides infinite storage with a simple interface. Typically used as primary storage for data backup and restore.

High Performance and Reliability

AWS has fairly high speed. The Elastic Block Storage is nearly as fast as C3 but provides other features. EC2 Compute Units provide hourly Xeon-class performance. Unlike most private data centers, this one remains online but reduces its capacity in case of an issue. Chaos Monkey App successfully tested this feature.  It randomly shuts down any cloud environment components and then analyzes whether the app is running or has completely stopped. In the case of AWS, when the database and web server went offline, the database (RDS service) switched to another database using the Multi AZ function. When the web server went offline, another one was activated using the autoscale function. This shows how efficient Amazon Web Services really are.

The strength of AWS performance lies in its storage. The EBS distributed nature provides massive I / O operations per second for all of its instances.

Fast Deployment

Traditionally, providers need two to four days to prepare a server. Then they need a few more hours to configure and test it. AWS Deployment time is reduced to minutes. By using Amazon Machine Images, it is possible to deploy the machine and prepare it for connection in a very short period of time. This feature is handy if the site receives a large amount of traffic at certain time intervals. Else,it needs demand-based flexibility when launching a new product.

AWS also provides free Cloudformation Templates. These let you deploy and shut down multiple environments in one click.

Outstanding Security

You can restrict AWS resources access. Identity and Access Management (IAM) allows you to apply role assignment. This helps determine the actions that a particular role can perform. This results in malpractice likelihood reduction. Plus, the safety is increased. Also, AWS provides VPC, which can be used to host services in private networks inaccessible from the Internet, but can exchange data with the resources in the same network. You can access these private network resources via Amazon VPN or other open-source services.

Great Location

Another major AWS advantage: availability in over 40 time zones and 25 regions. That allows you to access servers from almost any country in the world.

Multi-Region Backups

You can create data backup copies in different regions. This is possible due to AWS Cloud decentralization. The platform offers AMIs and EBS snapshots mode for file back-upiles. This allows backups to remain intact even if the main operating environment fails. Even more, you can schedule backup time.

Great Flexibility

One of the most important AWS features of AWS. All the available services continuously work and interact with your application. They estimate and process your traffic demand automatically. APIs variety, coupled with the Amazon Machine Images gives you a fully customizable solution that provides a 100% ready server instance in less than 10 minutes. Instances can be closed quickly when need be.

Conclusion

Now that on-demand cloud services are on the rise, Amazon Web Services have become a viable solution for enterprises looking for reliable, scalable, and affordable cloud computing services. AWS helps companies manage a variety of services. And its notable advantage is that your business gets access to EC2, which, in turn, provides you with a virtual cluster of computers over the Internet. Thus, hardware resource handling is simulated by server farms located worldwide. AWS is a great solution not only for startups, but also for large and medium-sized enterprises. It is your choice for developing new software or in case of application modernization.

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New Traders Discover Benefits of Cloud-Based Trading Platforms

New Traders Discover Benefits of Cloud-Based Trading Platforms

Cloud technology is changing the state of many different industries. The financial sector is one of those most heavily influenced by cloud technology.

Finance companies are projected to spend $68.8 billion on cloud services by 2028. The market is growing at a rate of 20.5% a year. A number of different sub-sectors of the financial industry are driving demand for cloud technology.

One of the financial verticals most affected by cloud technology is online financial securities trading. A number of trading platforms rely on cloud technology to operate more efficiently and cut costs.

Cloud Technology Helps Traders Achieve Higher ROIs

Trading on the financial and stock markets has become progressively easier over the last couple of decades, mainly thanks to the rapid integration of the internet into our daily lives. More than 10 million people are actively engaged in Forex trading as of today, something which would have likely been unimaginable in the era before the internet was so ubiquitous.

We have previously talked about the benefits of using AI for financial trading. Cloud technology has helped traders make better trading decisions. Some of the benefits of cloud technology for financial trading are listed below:

The cloud makes it a lot easier to place quick trades. This enables traders to take advantage of trading opportunities in real-time, which is crucial in a world where new updates can change the direction of financial markets in a matter of minutes.

Cloud-based trading platforms are less likely to crash, so traders can take advantage of opportunities without delays.

Cloud-trading platforms tend to be more cost-effective, so traders don’t have to pay as high trading fees.

There are loads of benefits of using the cloud to make trading decisions. However, there is still going to be a learning curve for new traders. Getting started with trading is not that complicated, as long as you take the time to research the market, figure out what tools are available, and have the patience to develop a viable long-term strategy.

Advantages of Web-Based Trading Platforms Using the Cloud

Web-based trading platforms have been growing in popularity. Online trading platforms are enjoying an annual growth rate of 6.4%, with expectations that the total value of the market will go over $13 billion by 2026. As stated above, the cloud has made these trading platforms even more valuable. These solutions offer many advantages over traditional platforms, making them a prime candidate for a beginner who’s just starting to explore the field.

Some of the benefits of using cloud-based trading platforms over traditional solutions include:

Platform independence: you can access the platform on any device and are not bound to a specific operating system or app store;

Constant updates: developers don’t have to spread their resources across multiple fronts and can concentrate on improving one centralized solution instead;

Easy integration with auxiliary tools: many web-based platforms offer API access for developers interested in taking full advantage of their potential.

The cloud is completely changing the future of trading. Savvy traders will leverage cloud-based trading platforms to their advantage.

Figure Out What You Want to Trade

It’s important to settle on a particular market before going any further. There are several main options to pick from stocks, ETFs, and currencies. Trading currencies on Forex is an easy way to get introduced to the overall concept of trading and is widely available through many brokers.

Stocks are also an option worth considering, but you should build up some experience before going in that direction. Otherwise, they can be a risky investment if you don’t understand the market in enough detail. ETFs are a safer alternative to stocks, as they bundle different stocks in a manner that distributes the risk more evenly. The lower risk associated with ETFs comes at a price though – your earning potential is also more limited for the most part.

How to Start Trading Through a Web Terminal

Now that you’ve picked your target area, you can start using a web terminal to trade. One of the more popular options on the market is the MetaTrader 5 Web Terminal. It’s specifically aimed at Forex traders, and the recent update on Web Terminal by MetaQuotes is suitable for those looking for a good balance between access to different tools and easy integration.

The tool offers an approach balanced between convenience and depth, displaying data in a condensed manner while still providing you with access to features that can help you make the most of your trades. It runs entirely in your browser, and thanks to its adaptive design, you can take advantage of its functionality on any device.

Using the MetaTrader 5 Web Terminal is also a reasonable choice for those concerned about security. Since the terminal runs exclusively on your broker’s server and not on a centralized one shared with other users, you will have more control over your trading data.

On top of that, there’s no fee required to use the service. If you’re looking for a relatively easy way to get started with trading through a web platform, this is an option worth exploring.

Use a Practice Account First

Many cloud-based trading platforms offer the option of setting up a demo account with fake money. Take full advantage of that option and don’t let go of your practice account until you’re truly comfortable with what you’re doing. It will take a while to learn the ins and outs of the market, and practicing in a safe, controlled environment with no risk involved is a good way to prepare for what you’re about to experience.

Whenever you run into a problem or don’t understand why a situation developed the way it did, make sure to talk to other traders online and ask for assistance. The community is generally welcoming to newcomers and you’ll get plenty of valuable insights from people who’ve likely experienced the same problems as you.

Understand the Tax Implications

Don’t forget taxes! You may be able to connect to financial markets all over the world via the cloud, but you still have to pay taxes in your jurisdiction of residence. Depending on where you live, trading can have some serious tax implications and may even require the services of an accountant. It’s better to sort this out at the very beginning while you’re still starting out, rather than scrambling to find someone on short notice once you realize that your tax return is going to be much more complicated than you anticipated.

Hiring an accountant is not even as expensive as most people think – you can get one for as little as $300 if your trading has been relatively uncomplicated through the year. There are also tools that can allow you to handle your taxes yourself, which will cost you around $100 – $200 per year, depending on the set of features you’re interested in.

Moving on to More Advanced Strategies

Once you’re comfortable performing simple trades and have managed to stabilize your position on the market, it’s time to move on to exploring more advanced trading strategies. Things like Forex scalping and positional trading require some underlying experience with the market, so don’t attempt to jump on those until you’ve mastered the basics.

At this point, you should also have a good understanding of the cloud-based platform(s) you’ve chosen. Understand the full toolset you’re working with and how it can benefit you in every situation. Know how to reach out to the company behind the platform for support if you run into any problems. And take the time to experiment with automation solutions. Even if you don’t consider yourself good at programming, you can still learn how to automate some basic tasks.

Cloud Trading Offers Huge Benefits for Traders

A growing number of traders are taking advantage of cloud-based trading platforms. As a new investor, you may want to consider these benefits.

Whether you do it full-time or part-time, online trading can be a good way to earn a steady income once you overcome the initial learning barrier. Web-based trading platforms are probably the best way to approach this right now, given their convenience and availability. You must enter this field with the strong intention to learn more over time. There is a lot of ground to cover already, and new solutions keep coming out on a regular basis, requiring you to stay on top of your learning.

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