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How to Simplify Complex Business Processes with Cloud Computing Tools – ReadWrite

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why move to the cloud


Accessing solutions and services over the Internet is not new. However, the speed at which new cloud computing tools and technologies are emerging is rapidly accelerating.

Most businesses turn to the cloud to save money and improve efficiency. Cloud migrations offer businesses the opportunity to simplify functional business processes and their IT architecture.

Rather than spending money on initial software development and maintenance, companies turn to cloud-based infrastructure solutions to outsource the responsibility for upgrades and management.

Companies that utilize the cloud can expedite internal processes and make customer data points more accessible from anywhere in the world.

Why Move to the Cloud?

Organizations using legacy on-premises applications must take steps to modernize their IT and implement cloud computing tools and systems.

  • Companies that embrace and adapt to change are more agile than those that do not. As a result, they can focus on spending more time and resources on core competencies instead of dealing with upgrade and management concerns.
  • Cloud platforms significantly reduce the cost of IT infrastructure in addition to the total cost of ownership.
  • By adopting and implementing a cloud platform, an organization can eliminate traditional processes such as spreadsheet-based accounting and focus on capturing real-time data.
  • Cloud systems ensure better visibility into financial and operational data.
  • Front and back-office processes can be seamlessly integrated to consolidate data across different departments within an organization.

The market is changing dynamically. Companies are moving to the cloud to remain competitive, scale operations, and accelerate growth.

Cloud Computing Tools

Cloud computing tools benefit the organizations that use them in quantitative ways to provide insights on how to improve their businesses.

why cloud computing tools

Some of the processes that are simplified include:

  • Data integration
  • Infrastructure, services, management, and computing architecture monitoring
  • Password management
  • Security issues and risk management
  • Resource optimization to gain insights into inefficiencies and methodologies to reduce them

Data Integration Tools

Data integration involves combining data from various sources for analysis, reporting, and business intelligence.

data integration tools

Cloud data integration tools can be accessed through a web browser and are hosted on a third-party provider’s server.

Below are some popular cloud-based data integration tools that enable businesses to integrate data from multiple sources quickly:

  • Informatica Cloud Data Integration
  • Salesforce Platform: Salesforce Connect
  • Oracle Integration Cloud Service
  • SnapLogic
  • Talend Cloud Integration

Incomplete or inaccurate data has a significant negative effect on your company’s bottom line. Integration tools help companies maintain quality data while enabling them to get the most out of growing data volumes.

Monitoring and Maintenance Cloud Computing Tools

Cloud monitoring tools track safety, performance, and availability of critical cloud services and apps. These tools monitor, manage and evaluate infrastructure, services, and computing architecture.

Below are several of the more popular cloud monitoring tools:

  • AppDynamics
  • Microsoft Cloud Monitoring
  • Amazon CloudWatch
  • Logic Monitor
  • New Relic

cloud monitoring and maintenance tools

Companies use cloud monitoring tools to identify emerging defects to prevent minor issues from growing into more pervasive problems.

Password Management

Anyone who uses the Internet knows how difficult it is to remember passwords for every site they use. Many people try to use the same password or variations of it because it is easier to remember.

However, this practice often results in weak passwords and poses a security threat. How can you use a unique and strong password on all the websites, systems, and applications you use?

Unless you have a photographic memory, it is impossible to remember the vast number of passwords needed to access almost every site online.

For businesses, using a password manager is a critical security feature. It will:

  • Eliminate employees reusing passwords
  • Protect access to accounts with sensitive customer and company information
  • Improve staff security behavior

Rather than having to remember way too many logins for business processes such as cloud storage, Google Drive, and collaboration sites, a password manager will remember your passwords for you.

When using a password manager, users only need to remember one password to the manager itself. Although modern browsers have built-in password managers, they are not secure.

password management

For example, Chrome stores master passwords in an unencrypted form. Hackers can gain access to your master password and then get into all your password-protected sites.

When choosing which password manager to use, avoid the services that allow you to retrieve your master password. Even though it is a pain to reset your master password, the consequences will be much more severe if it is compromised.

In addition to not having to remember tons of passwords, using a password manager also protects from some types of phishing attempts.

While you might not recognize a clone site in an email, your password manager will by not auto-filling your login information.

Cloud Computing Tools for Security Issues and Risk Management

Skimping on security tools is not a wise option, so many businesses today find that they are spending a lot of money on security.

You may be tempted to skip this step, but recent hacks reported in the news should persuade you against it.

  • In February 2019, hackers in China had significantly increased against US companies and did not show any sign of stopping.
  • According to Microsoft, Iranian hackers targeted thousands of people at more than 200 companies in the last two years.
  • North Korean hackers have targeted American businesses for over two years.
  • In 2019, Marriott announced a major security breach where hackers accessed sensitive records of 383 million guests.
  • Capital One’s data breach announced last year had data stolen from anyone who applied for a credit card from 2005 through 2019, including bank account and social security numbers.
  • In September 2020, the United States Department of Justice indicted five hackers with Chinese intelligence service ties for cyberattacks on 100+ organizations, including IT, academia, and social media.
  • 137 million Canva user accounts were hacked in May 2019, exposing information such as names, cities, and usernames.

The statistics above are scary when you think about the havoc a cyberattack can have on your business. This is driving companies to increase their spending on security tools.

However, many small businesses cannot afford to pay for expensive security tools, nor do they have the time and resources to understand how to implement them.

There is a new tool called DevSecOps that combines existing cloud computing tools and integrates security to simplify the process.

What is DevSecOps?

DevSecOps combines two methodologies into a single unified framework. It ensures faster coding by focusing on automating code production and streamlining efficiency. SecOps deals more with security issues.

security issues and risks

By utilizing both frameworks, DevSecOps enables teams to streamline development processes and security together.

Instead of implementing security processes after code has been written, DevSecOps increases coding and production efficiency and streamlines the process by focusing on security from the beginning.

If security issues occur early in the development process, they can be caught and attended to before software is released to customers.

The benefits to security teams and developers of adopting DevSecOps far outweigh its complexity and the time and resources necessary to implement it.

Cloud Computing Resource Optimization Tools

Cloud optimization is the process of selecting and assigning the best resources to an application or workload. Achieve better efficiency by balancing the best-fit infrastructure against compliance, cost, and workload performance.

resource optimization tools

Below are several cloud computing resource optimization tools to minimize performance risks and maximize savings:

  • Microsoft Azure
  • AWS
  • Google Cloud
  • Flexera
  • VMware
  • CloudCheckr

There are considerable differences in each of the tools’ capabilities. Some only report on underutilized instances, whereas others can automatically execute precise rightsizing using AI-based pattern recognition.

Simplify Your Business Processes by Migrating to the Cloud

The ability to scale your business can be inhibited by legacy business processes that were appropriate when implemented based on the business climate and technologies available.

Adopting cloud computing enables companies to accelerate the deployment of new capabilities to maintain a competitive advantage.

By untangling legacy business systems, moving to the cloud also helps businesses improve their functional processes.

Cloud computing tools and systems enable businesses to replace inefficient processes and respond to market conditions faster.

Julie Weishaar

Visual Digital Marketing Specialist

Julie works to grow small businesses, increasing their online visibility by leveraging the latest in internet and video technologies. She specializes in creative camera-less animated video production, custom images, content writing, and SlideShare presentations. Julie also manages HubSpot CRM, blog management, email marketing, marketing automation, and social media for her clients.

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How Machine Learning is Solving Fraud Detection in Finance

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How Machine Learning is Solving Fraud Detection in Finance


You will find financial apps on a majority of smartphones. We often reach our phones to make online banking transactions or check our bank balances. Mobile apps are transforming how we used to perform financial activities, bringing convenience and flexibility to people’s lives. Banks offer nearly every possible service a user wants directly to their mobile apps. Henceforth, the need to visit the bank has reduced significantly, and there are so many customers who have not visited a bank in months or even years.

Digital Platforms in Finance

However, the injection of digital platforms in the finance industry also packs numerous fraud activities that the finance industry has to solve for users. A key solution to financial fraud detection and prevention is Machine learning.

Machine learning in Finance is actively acting as a defender against criminal activities that target acquiring money through deception. As a business, financial institutions are building robust solutions to deliver optimum security to their customers, and machine learning plays a key role in the process. As a result, mobile app developers actively integrate numerous algorithms and explicit programming to make their apps fraud free for financial institutions.

By 2026, the global Fraud detection and prevention market size is projected to reach $65.8 Billion. Additionally, the CAGR of the same will be 21.5%, where Machine learning will play a key role in making fraud-free finance apps. The question of how machine learning prevents fraud stays a curiosity for entrepreneurs. So, this article will explore the following:

  • What are the major types of activities Machine learning is preventing
  •  How important is machine learning for financial fraud prevention?
  •  What are machine learning models used in fraud prevention?
  •  Real live cases of fraud prevention in Finance mobile apps

With the above concept, you will have the necessary knowledge required to understand fraud detection in finance apps through machine learning.

What are the major types of frauds machine learning can prevent in finance apps?

Machine learning is rapidly evolving, and there are no limitations to its growth. The scope of fraud detection and prevention covers a range of activities fraudsters do; money laundering, insurance frauds, phishing scams, and more. Here are some of the frequent financial types that machine learning is rapidly trying to solve:

Email Phishing Fraud

Some people rely on their email for professional and personal usage. With this wide usage and reliability of people on emails, fraudsters execute email phishing frauds through multiple methods. When a cybercriminal sends spam or malware in an email, it is known as Email Phishing Fraud. 96% of phishing attacks come through Email.

Such emails may contain the following:

  • Unsafe links
  • Request banking otps (one-time passcodes)
  • Net banking passwords

Automated methods with machine learning allow the system to detect phishing attempts in advance to alert the users. A great example of the same is Gmail. The algorithms detect emails and send them to spam.

Credit Card Fraud

The cashless economy is boosting the use of debit and credit cards, where a credit card has become a primary source of shopping for users. And stealing information on credit cards is becoming an immensely popular fraud among users. The victim can notice unrecognized purchases on behalf of their credit card. Thousands of cases are filed yearly mentioning credit card fraud. Machine learning can act as a layer of security to identify if an authorized party performs the transaction or not.

Mobile Phone Fraud

Mobile phones are prone to cyber-attacks. With the NFC technology in smartphones, hackers can infiltrate your private data and steal information. Machine learning can prevent wifi based transactions by predetermining unauthorized access. Further, smart technologies like biometric-based security can prevent Mobile phone-based fraud.

Identity Theft

Websites have sensitive credentials of users. Besides, if a hacker steals sensitive information, they can pretend to be you and can initiate transactions on behalf of your identity. Additionally, users also use social platforms to sign in to multiple platforms with one click.  As a result, machine learning can deliver a secure process to prevent misidentification in financial institutions.

How important is machine learning for financial fraud prevention?

Implementing machine learning brings multiple benefits to fraud detection in the finance industry. Here are the notable benefits that Machine learning offers:

Fast Data Collection

Today data is an asset for businesses. When financial institutions gather data, especially from the victims of fraud activities, they understand patterns to identify the cause of fraud. As a result, ML can collect relevant data, prepare categories and deliver insightful actions to alert or prevent fraud activities.

High Level of Efficiency

ML can execute endless programs/functions without any errors. It can easily manage massive data sets and find the source of fraudulent activities without any compromise in efficiency or hampering organizations’ time and efforts. Additionally, it also saves costs for the company.

Boosting Scalability

Financial institutions can process as much data as they want with big data technology capabilities. Eventually, ML can differentiate even the slightest difference in the data sets to deliver optimum actions to the users. As a result, when financial institutions can make use of massive data sets, it increases their scalability.

Innovative and Rapid Improvement

A great benefit of building machine learning solutions is that you can modify them according to your needs at any time. It is never a one-time investment. Further, you can keep innovating your machine learning algorithms to inject the latest trends used by fraudsters to improve your fraud detection approach rapidly.

 What are machine learning models used in fraud prevention?

Machine learning technology is continuously evolving, yet some highly robust ML models are useful for the finance industry in preventing fraud.

Supervised Learning

Supervised learning is one of the finance industry’s most popular machine learning approaches. The supervised learning model is based on predictive data analysis and database management, working on data arriving from multiple sources. Additionally, the data is labeled and classified into multiple categories. For fraud detection, supervised learning can differentiate between two similar data sets to train the machine learning algorithm.

Unsupervised Learning

Unsupervised learning plays a key role in fraud detection when there is very little information available to analyze. It continuously monitors and learns from the pieces of information in multiple time stamps and variations. Finally, when the algorithm has collected sufficient data, it initiates action.

Semi-Supervised Learning

Semi-supervised learning combines both, Supervised and unsupervised learning patterns to produce optimum results. The learning model automatically switches to semi-supervised or supervised learning according to the requirements.

 How PI (fraud detection solution) by PayTm works using Machine Learning?

Pi is a finance fraud detection model built by PayTm to prevent fraud for businesses and users. (Pi is the PI.Exchange), and its smart model highly utilizes a machine learning approach to deliver optimum risk prevention to users.

This is how Pi works:

  1. Detect: Intelligent risk scoring with a personalized approach. Every user has their own risk scores for multiple finance-related activities.
  2. Diagnose: Using an unsupervised machine learning approach, the fraud detection model actively monitors activities 24/7, recommending user rule sets and alerts.

PI uses high-level intelligent algorithms to give a strong fraud detection tool:

  • Data ingestion
  • Anomaly Detection
  • Dynamic risk scoring
  • Machine learning studio
  • Smart Simulations
  • Case management

PI is a perfect real-life example of a fraud detection tool for the finance sector showcasing efficient use of the machine learning approach.

Want to integrate fraud detection & prevention ML algorithms in your finance app?

If you want to build a finance app or want to increase the security of your finance app, an IT Solution provider can deliver an optimum fraud detection and prevention solution for your app. Machine learning and artificial intelligence (trickyenough dotcom — integrate ai in mobile) experts are passionate about integrating intelligent solutions aligning with your finance apps. These experts are extremely prominent in supervised, unsupervised, and semi-supervised machine learning algorithms according to your app development demands.

Image Credit: Provided by the Author; Thank you!

Radhika Yadav

Radhika finds covering the tech world to be an exciting and engaging experience as each day brings new and groundbreaking technologies to explore and write about. A believe that words are our most inexhaustible source of magic, makes her fortify to writing pieces that enhance the visibility of any brand and helps them position themselves in the best possible way.

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The Power of Human Touch in Software Development and AI Environments

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Igor Bergman


Necessity is the mother of invention — a principle that has defined technological advancement and design for generations. We innovate and create new products, services, and processes based on human needs that arise. Just as these needs evolve with each generation, so too must the way we approach the innovation required to address them, and that requires a human touch in software development.

Digitalization Driving Productivity and Collaboration

In today’s era of digitalization, companies are turning to new technologies, specifically software applications, to drive efficiency, productivity, lowered costs, and smarter collaboration. As the adoption of digital transformation has increased, so has the number of software solutions enabling and supporting it.

Companies are looking to software developers for new ways to integrate technology. Operations demand process automation, improved communications, and the delivery of more value to their customers.

Artificial Intelligence (AI) has been an influential part of this progression and an enabler for many capabilities today; however, we must exercise restraint in relying too much on technology alone to reach business goals.

Restraint With AI Makes Better Sense Today

There’s power in the human touch that can set the stage for meaningful transformation when embraced during the software development process. As we continue to integrate digital technology into nearly every facet of work and life, we need intelligent software design to incorporate more of the human experience to thrive.

The key is finding a measured balance between purpose-driven software design and human touch and understanding how to execute this collaboration successfully and ethically.

AI’s Role in the Consumerization of Software

Historically, enterprise software was initially designed with a particular persona and a very specific set of requirements in mind. As a result, it was built to serve simply as a tool with no focus on the user’s experience, behavior, or even the potential ability of the user to change behaviors.

For example, if a person were using a software program to search for fruit, that software would need to be coded to show each specific fruit. Then, if a user searched for a peach, the software would display a peach. If they wanted to search for an orange instead, the software would need to be hard-coded to show an orange. This is a very cut-and-dry process leaves little room for interpretation.

Software Designed to Consider User’s Behavior

Today, AI-powered software is designed with realistic human values in mind, defining a set of user stories and use cases that proactively adjust to potential user behavior, with a strict focus on providing and maximizing end-user value and experience. Explained differently, rather than designing software around who a user is or what they do, the software is designed to consider the user’s behavior and the value the product can provide for an optimum user experience.

Revisiting the example above, if a user in Florida is seeking “fruit,” the initial result the software is likely to show them would be an orange. Alternatively, if the user lives in Georgia, it would likely show them a peach — since these fruits are indigenous to their respective regions.

Software Built With Human Touch Provides an Experience

In this example, the software was built to look for an outcome and design an experience that considers several factors to present the most likely desired result. This is how AI algorithms are used to design an environment meant to improve the customer experience by anticipating needs based on trends. This is also how software developers automate an experience.

Several different inputs are analyzed to the point where an assumption can be made based on a person’s behavior over time. Content is then populated, or an action taken that the program deems would be most useful for that person, all in the name of improving the user experience. But what if the person in Florida doesn’t like oranges and the person in Georgia doesn’t like peaches? This is where the human touch comes into play

Finding the Ethical Balance Between Smart Personalization and Human Privacy

AI algorithms require and collect personal user data to customize the experience in a unique and valuable way for a specific user. However, they can sometimes be too rigid when analyzing only the data without considering personal preference, free will, or choice.

AI alone, without any oversight, can also go too far, as there’s a fine line between personalization and privacy, and AI can’t make the distinction on its own. A human developer addresses this issue by providing the guardrails necessary to ensure ethical design and desired behavior while also incorporating the flexibility needed to give users a greater sense of choice.

How Do You Protect Your Customers?

Software must be built so the user can determine what data they want to provide to improve their life or minimize evasiveness. On the front end, as software is being designed, developers can build flexible architecture with certain constraints in mind to provide an ethical and secure framework around how the AI algorithm works. This allows users to define where the line is or how much personal data they allow into the architecture or the cloud.

Ultimately, users want AI to optimize the tasks they need to perform but don’t want the AI to make decisions for them without approval. This idea of choice is another critical element of why the human touch is so imperative in the development process, even as the industry has sought faster and more efficient ways of writing software programs.

The Artistry of Software Engineering From the Human Touch

As a means of automating code writing, code generators were introduced several decades ago to quickly write new code and get applications to market faster. Requiring minimal human intervention, the developer would simply set what it needed the app to do, and then code was generated for that specific purpose. It was easy to write code that would solve a particular problem and take the user from point A to point B in the most efficient way possible.

However, the lack of human touch is the issue with this model. There’s no consideration for the user experience or innovation that excites and delights; the software is simply working to solve the problem without room for interpretation. Alternatively, the human coder can push boundaries and determine how to interpret the user requirements to decide the best path between the two points.

Flexible Code Environments Make Efficient Programming

For example, if a program were coded to simply draw a tree, a code generator would produce the same tree over and over with no differentiation in color, leaf type, size, etc. There would be no artistry behind it, and users wouldn’t have the ability to choose from various tree designs. Instead, they’d have to accept the tree the generator produced. But when an engineer has the ability to integrate their personal touch, the artistry of software design is unveiled, and the experience becomes something very different.

Today, our industry has evolved even further, and low-code/no-code environments have emerged as the next generation of modern and efficient programming. Developers can now quickly build the foundation of a program from existing services and functions that have already been written by other coders, easily defining the path the user takes to get from point A to B.

This type of coding is a much more flexible way of designing software that allows engineers to adopt the preferences of the end-user and change functions as the end user changes. However, the various functions are still being coded by an individual and, thus, are constrained to the preferences of that person.

Reusable Templates Boost Productivity

So, to revisit the previous “tree” example, software developer A designs a single tree which developer B can now take and, in about the same amount of time as it took to create just one original tree, reuses as a copy over and over but in different ways.

Several copies can be placed side by side to depict a forest, or a single copy can be placed in front of an abandoned building or on a deserted island to create different applications entirely. However, because they’re all using the same original tree design, all of the trees in each environment still look the same — the artistry is limited to that of the person who originally designed the tree.

Decide and Improve the End Product to Customize

Where the human element comes into play is when the software engineer can have the ability to decide how they want their tree to look and can add features along the entire design process to augment it.

Then, the next engineer can come in and change or improve it to meet the needs of their users, and so on. Now, instead of one tree that everyone has to use repeatedly in different ways, there are hundreds of different trees that all came from the same initial version but have been customized and improved upon.

How Does AI Build a Tree?

If we relied on AI to build the perfect tree, it would calculate only one way to do so, but what if you don’t like it? It’s no longer perfect for you. So, rather than relying on AI completely, developers can choose how to embed AI capabilities into their programs to drive the best customer experience.

These AI integrations have to be customized to fit the environment, however, and this requires an actual engineer to be part of the process, which ensures the human element is preserved.

Ultimately, software engineers have to find the right balance of enabling smarter technology that can proactively anticipate and solve our problems while also ensuring end users have the ability to exercise their right to choose and decide what’s right for them based on the facts presented.

Human Touch at the Heart of Modern Software Design

No longer are software solutions built for a single defined purpose. Instead, they are built to learn and evolve based on the creativity, artistry, and ethics of the human touch. As emerging technologies have helped enable modern innovation with unprecedented speed, and invention can now be born out of demand and pursuit of progress rather than out of necessity.

As AI continues to be integrated into the software development process, the human touch will play an integral role in teaching the software how to adapt to each user’s needs, values, behavior, and privacy priorities.

Featured Image Credit: Photo by Andrea Piacquadio; Pexels; Thank you!

Igor Bergman

A Software and Cloud transformation engineering and product leader, Igor Bergman has extensive experience in software businesses, product management, startups, and business development. He is currently heading Lenovo’s $750M Global Software and Cloud business unit.

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5 Ways to Find Balance at a Startup

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Startup founders and employees find that achieving work-life balance can be challenging. 43% of entrepreneurs agree that work-life balance is one of their biggest challenges. As the start-up grows, demands will also grow. Founders and employees need constant motivation and fresh ideas to keep up.

As challenging as a good work-life balance is to achieve, it is very important for your personal and professional lives. It can be as important as a business plan for your startup. This article gives a better understanding of work-life balance, what it means, and why it is important. It also highlights a few ways to find work-life balance at a startup.

work life balance office setting

Work-life balance meaning

So what is work-life balance all about? In simple words, the term work-life balance is about how you manage your time between work and outside of work. It gives you the flexibility to get things done in your professional life while still having time and energy to enjoy your personal life.

There is no perfect work-life balance template to follow. We are all different, and so what a healthy work-life balance looks like will differ between us. However, the primary goal of a better balance is that you should have a greater sense of well-being and lead a better quality of life.

Why work-life balance is important

Work-life balance is important for many reasons. Some people are willing to give up money for a better work-life balance. This is a true testament to the stress levels of the modern workplace. In a 2020 Deloitte survey, it was found that 44% of millennials say they are stressed all or most of the time. Companies that help their employees have a good work-life balance in their professional and personal lives have higher retention rates.

A good work-life balance has many perks. Some of these include:

  • Fewer health issues
  • Higher productivity levels
  • Fewer burnouts
  • More mindfulness

Poor work-life balance has some dire consequences. It can wreak havoc on your health, home life, and personal relationships. Some of the drawbacks include:

  • High-stress levels
  • Feelings of dissatisfaction with life
  • Increased rates of family issues and divorces
  • Escalation of substance abuse
  • Low productivity levels
  • Dissatisfaction at work
  • Lower levels of motivation, commitment, and loyalty.

work life balance girl outdoor

5 ways to find balance at a startup

To create a better work-life balance, think about how you can achieve balance in your personal and professional life. What works for someone else may not work for you. However, here are some tips you can try to improve your work-life balance.

Develop some time management skills

Many entrepreneurs struggle to manage their time correctly. This is because they spend most of their time working long hours to complete their to-do list. There are only 24 hours in a day, so prioritizing may be the best way to manage your time better.

Create a daily, weekly, and monthly to-do list. Try focusing on the most important tasks on your priority list. Doing so can increase the chances of things being done with greater care and focus.

Another thing you can try to do is to say no to the less important stuff. You can simplify your work and delegate the less important stuff. Also, turn off your phone and email notifications. Set a scheduled time to respond to emails and make phone calls. Replying to emails and checking messages as they come in can be distracting. It can make you lose focus and mess with your productivity.

Try to leave work at work

How often do you find yourself taking work home and working remotely from home? The answer is probably too often. You may find yourself working on weekends and holidays. This leaves you with little to no time to relax or spend with loved ones. Try to do work during work hours and stop once those hours are up.

It is important to have a strict policy when it comes to work and other areas of your life. You can try having a no-work-on-the-weekend rule. Having the rule is one thing, but sticking to it can be hard. Try your best to follow this rule and make no exceptions. The weekend can help to reduce stress from all the issues you dealt with during the week. It can even give you time for ideas and solutions to emerge. It is vital to give your body and mind a chance to rest and recover.

Set aside family time

Making time for your family with a busy schedule can be hard. However, you need to remember that your family is your main support system. When things aren’t going smoothly at the startup, your need for support is greater. This is where your family comes in.

Work decisions and responsibilities become easier to manage with your family’s support. Spending quality time with family members can relieve stress, nurture positive behaviors and promote a healthy lifestyle. Time spent with family can improve both your professional and personal life. Plan family trips, game nights, and other activities. These can help build quality relationships with your family.

Schedule personal time

In today’s fast-paced world, it can be hard to find time to indulge in personal interests. However, one’s personal life is as important as one’s professional life. When you unplug and take a step back, you will experience a whole new perspective.

If you feel overwhelmed with everyday life, it may be time to take some time off work. Take your vacation time to rest and recover. Choose an activity that you love and one that relaxes and rejuvenates you.

You can try to make time to meditate, travel and do things you love. Personal time is best for self-reflection and setting goals. Self-care is also essential for your mental health.

If you cannot get much time off, simply ensuring you sleep and eat well can help. The American Academy of Sleep Medicine (AASM) and the Sleep Research Society (SRS) say to aim for at least six to seven hours of sleep. You should also be mindful of what you’re putting into your body. Constantly chugging coffee and eating junk food will eventually affect your health. Try to eat at least one or two healthy meals a day.

Outsource when possible

Technology has come a long way. It has gone to great lengths that we can now replace much of the work necessary to run a business. Try to outsource repetitive tasks that take up too much of your time. This can allow you to focus on your goals and have more time to deal with personal matters. For your personal reading, here are 10 reasons you should be outsourcing your marketing.

Bonus Tips

SET FLEXIBLE HOURS

A flexible work environment can lead to a healthier work-life balance. Flexible hours, telecommuting opportunities, and other systems can relieve stress. They also allow you to attend to personal matters and spend time with your family. At the same time, it can also help to increase your productivity levels and effectiveness.

EXERCISE

Exercise can improve your physical health and mental health. It can also help to improve your productivity. Exercising for just 30 minutes a day can keep your body and mind active and fresh. This can lead to higher energy levels, increased focus, and completion of tasks faster. Exercise can also help with creativity, so when you’re faced with a challenge, exercise. It doesn’t have to be anything too intense; a simple 30-minute walk may help.

MAKE WORK FUN

The only way to make an 80-hour work week bearable is to integrate some fun. Play is crucial when it comes to working. It can improve employees’ work-life balance as well as founders. Some fun can make you both more productive and lead to a more engaged workforce. It can keep everybody motivated and happier. Try to keep the happy spirit alive as much as possible. You can do this by promoting play, encouraging hobbies at work, etc.

TRAVEL

A change in scenery can work wonders. It is great for your mental and emotional well-being. Traveling to new places can free your mind, body, and soul from stress. It can help you reflect on personal goals and interests. Aside from these, it can enrich and transform your perspective on life. Traveling can also improve productivity, sharpen problem-solving skills and increase creativity.

STAY POSITIVE

Staying positive when dealing with entrepreneurial failures and threats can be hard. However, a positive mindset may be able to help you pull through. It allows you to focus on the positives of the situation and help you visualize your goals. Focusing on the positives and having a clear idea of your goals can result in you meeting them. A positive attitude is awesome, even though it can be tough to maintain.

Inner Image and Featured Image Credits: Provided by the Author; Pexels; Thank you!

Joe Martin

Joe Martin

VP of Marketing

Joe Martin is currently the VP of marketing at Scorpion, a leading provider of technology and marketing to help small businesses grow. Formerly he was CloudApp’s GM and CMO and a Head of Marketing at Adobe. With over 15 years of experience in the industry and tech that makes it run, he provides strategic guidance on how to build and use the right stack and marketing for businesses to grow. Joe believes marketers need smart training and leadership to scale company growth. Connect with Joe on LinkedIn and follow him on Twitter @joeDmarti.

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