Key Features of Effective Scrum Tools

By CkarisCareer, DigitalizationNo Comments

What is Scrum?

Scrum refers to the software development team’s framework that aids in creating, delivering, and sustaining intrinsic products. In other words, Scrum is a set of tools that helps complete the work and enables organizations to deliver value to their clients or customers consistently. Scrum aids in incorporating changes by breaking complex projects into smaller features. This approach helps in completing the work quickly through time-boxed iterations called sprints. Scrum tools like Jira Software are typically used to strength

Effective Scrum Tools

When assessing Scrum tools, one must consider features like the capability of sprint management, monitoring of tasks, and performance evaluation. Specifically, Scrum tools must include the following features:

The tool must be able to generate a task board offering a visual representation of the progress of ongoing sprints.
They must document user stories. It means an informal explanation of features from the user’s point of view that aids in understanding the goal of the team collectively.
They should have the potential to conduct sprint planning, including defining each sprint concerning the goal, workflow, team assigned, task, and outcome.
They must provide real-time updates. For instance, it tracks the status of the ongoing task in percentages on the task board.

FAQs on Scrum Tools

1. Why use Scrum tools?

Scrum tools help to adapt to changes, focus on prioritized tasks, and deliver outcomes within deadlines and budget to achieve the desired outcome.

2. Can Scrum tools be used for non-software projects?

Yes, they can be adopted by non-software projects for customer collaboration and team and end-user interaction.

3. Are there free Scrum tools available?

Scrumblr, Taskjunction, and MeuScrum are examples of free Scrum tools.

February 1, 2024

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2024 Trends to Look for in Business Agility

By CkarisCareer, DigitalizationNo Comments

Design Thinking and Business Agility

Design thinking has become the go-to approach to developing products that are more customer-centric. The design thinking process exposes customer needs on a more human level by developing stronger user empathy and experimenting in phases to get a process or design just right. It turns out that agile and design thinking have a lot in common, and melding the two together can add tremendous value to agile practices.

For example, project teams can build extra time into sprint activities to better understand customer pain points and improve the overall customer journey. Taking time up front to build user empathy and getting quick design feedback will help streamline prototyping and testing, as well as helping visualize a solution that can set the team on the right path. Within the agile environment, companies should consider ‘dual track agile’ or ‘staggered sprints’ that include user empathy, ideation, and feedback loops as an adjacent part of the agile process. A design thinking mindset delivers a more customer-centric strategy from the beginning without impacting the speed of the agile process.

Scaled Agile and Scrum Approaches Continue to Dominate

The scrum development approach empowers project managers to effectively coordinate the activities of cross-functional teams and produce working code in phases at the end of each iteration or sprint. Companies today are now turning toward scaling their scrum activities to deliver greater value and improve collaboration. The idea of extending agile from individual scrum teams to large-scale programs is gathering steam. Smaller teams have reaped the benefits, so they are comfortable with the basic principles. Now (usually with executive management’s guidance), those tenets can be scaled to larger projects.

As for the most popular frameworks, SAFe® is rated as the top-scaled agile methodology last year, according to a survey from StateOfAgile.com, outpacing the Scrum@Scale framework by 19 percent. Leading SAFe approaches are the most complete for large-scale Agile projects and support the successful transformation of organizations into Lean-Agile enterprises. SAFe scrum masters are highly valued as they are trained to plan and execute projects in the context of the enterprise, not just individual sprints. Scale is the name of the game in today’s business environment to ensure departments are all working from the same playbook.

AI and Machine Learning Support Agile Too

Even when agile approaches are running at full steam, there is still a great degree of analytical labor that must take place by project teams, such as testers and product developers. AI and machine learning algorithms are playing an increasingly important role in data analysis in the project and development environments. They provide real-time data and lightning-fast analytical capabilities, for example, to offer clear predictions of when project phases will be complete. That’s especially important when projects get close to the release phase, and the eyes of multiple executive constituents are glued to the schedules.

AI and machine learning provide additional benefits to agile as well, including:

Providing more precise insights and cleaner processes for creating and testing programming code.
Reviewing code with better accuracy to identify and eliminate bugs.
Integrating with innovative smart technologies such as the Internet of Things (IoT) devices, robotic process automation (RPA), quantum computing, and other cutting-edge technologies to speed development time and get products to market faster.

January 30, 2024

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How to choose the right tool for Agile methodology for Project Management

By CkarisCareer, DigitalizationNo Comments

Choosing the appropriate Agile tool to match your business needs and methodology is crucial. Your decision-making process for a solution that supports your team and their Agile methodology can be aided by the five features listed below:

Encourage communication and collaboration
Accountability and History Tracking
Central Searchable Storage
Scaling Ability
Analytical Services

As a project manager, you know that getting everything done on time is a top priority. These Agile tools can help you and your team become more productive and more nimble.
Project managers are always in high demand, and an Agile certification validates your knowledge in Agile and Scrum practices.

January 27, 2024

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Top 18 Free Agile Tools for Project Managers

By CkarisCareer, DigitalizationNo Comments

1. Icescrum

Created by a French company called Kagilum (KAnban-aGILe-scrUM) SAS in 2011, Icescrum is a free and open source solution for teams of any size. This tool is compatible with Linux, Windows, and Mac—and integrates with a variety of popular apps like Box, Excel, Dropbox, GitHub, Google Drive, Slack, and more.

Cost: free download. The cloud version starts at $35 USD per month.

Got 6 minutes? Check out this video: it’s a sample of our course Introduction To PMI-ACP® (Agile Certified Practitioner) Training:

2. Taiga

Awarded Best Agile Tool 2015 by the Agile awards, and Top 11 PM Tools 2016 by Opensource.com, Taiga offers better functionality than many paid tools, including backlogs, sprints, Kanban boards, and QA, along with the ability to import from Trello, Jira, Asana, and Github.

Cost: Public projects are completely free; private projects start at $19 a month.

3. Scrumpy

The unique selling point of Scrumpy software is that it allows long-term story views and is completely written in Java. It is specifically designed to help a product owner maintain a meaningful long-term backlog of user stories.
Cost: Completely free.

Explore our library of Agile and Scrum articles. Happy reading!

4. Hansoft

Hansoft’s fast and intuitive interface, powerful find/report tools, and a host of other features can run different project management methods depending on your project. Hansoft is scalable and configurable since it was inspired by the Project Management Institute (PMI), Scaled Agile Framework (SAFe), and Large Scale SCRUM (LeSS). Its core feature critical for planning and tracking is the backlog, which can be refined by any custom attribute to your deliverables.

Cost: Completely free for up to 2 users. It allows unlimited projects and programs.

5. YouTrack

We found that YouTrack has the best reporting feature of any tools on this list. Whether you’re looking for burndown charts, timeline reports, and more—all available on a live dashboard. Newest features include improved, project-based swimlanes, advanced visibility options, and time report improvements.

Cost: Free for ten users and 5GB of storage. Paid options are based on the number of users and start at $20 per month.

6. Scrumblr

Scrumblr is an open-source scrum application that enables real-time collaborative support for managing an Agile sprint board. It is created with node.js, jquery, CSS3, and WebSockets (using socket.io). It has an intriguing user interface that attempts to replicate a real board.

Post-its can be placed on the collaborative whiteboard known as Scrumblr. In addition, you can split the whiteboard so you can manage an exact task board equivalent. This tool is also helpful for retrospectives.

7. ScrumDo

Users may plan, monitor, and improve their work processes using the Agile and Kanban work management and collaboration application known as ScrumDo. The cloud-based platform’s robust features and intelligent notifications enable users to maintain tabs on everything in their organization.

Users can be informed about everything going on in the company, including project statuses and due dates, via Slack and email with ScrumDo’s smart notifications. Users can plan iterations and prioritize tasks using the hierarchy of work feature in ScrumDo, and they can track their projects’ status in real-time using the project timeline. Additionally, the user can manage each task’s subtasks and save details about its features.

8. ScrumDesk

ScrumDesk is a project management tool. ScrumDesk is an online application for Agile product management and Scrum project management for teams utilizing Scrum or Kanban. With ScrumDesk, we hope to give Agile teams the ability to oversee product development from conception to completion.

Small or medium-sized teams that are working on one or more projects concurrently are the main emphasis of ScrumDesk. The tool should offer excellent transparency for the team’s daily work and the backlog. ScrumDesk encompasses all aspects of a business. It assists product owners in quickly understanding the backlog and determining priorities.

9. Kanbanchi

With its integrated project management tool, Kanbanchi enables teams to work more efficiently. In addition, it offers a disciplined methodology for setting up your work to make your daily tasks more productive.

The only online project management, task management, and collaboration tool, including a Kanban board, Gantt chart, and time tracker, is Kanbanchi for G Suite. A sequence of all your tasks and activities is visualized on project boards with lists and cards. It enables real-time team collaboration and visual project management.

10. Pipefy

Pipefy enables top-tier managers to design and manage effective workflows. For teams like finance, human resources, and customer service, the no-code workflow management tool boosts team productivity, centralizes data, and standardizes processes. As a result, those making service requests, processing those requests, and overseeing the operation are all more effective.

Pipefy improves speed, boosts visibility, and produces outcomes of higher quality using ready-to-use, customized processes and a no/low-code platform. It transforms the team digitally in a matter of hours rather than weeks or months.

11. VivifyScrum

With the help of collaboration boards for Scrum and Kanban, users of VivifyScrum, a web-based Agile project management tool, can plan, arrange, manage, and complete projects all in one place. In addition, the platform provides management tools, such as time management, invoicing, customer base, team engagements, project calendar, reports, and more, to meet the demands of both small Agile teams and large businesses.

12. KanbanTool

The Kanban Tool is a program for using the Kanban methodology to manage tasks and projects. The Kanban technique is based on two principles: a graphic, clear picture of the workflow and a limitation on the number of functions that can be carried out concurrently. Kanban Tool is the original program for setting up your Kanban board and tracking your work process step by step. As a result, clients and team members can effortlessly communicate in real time by exchanging tasks, information, and comments at any time and location.

13. Targetprocess

To help software development organizations manage their projects more simply, TargetProcess offers Agile project management solutions. An easy-to-use yet effective solution for Agile project management is TargetProcess. It is easy since it has a user-friendly interface and provides a complete Scrum and Kanban process by default for software development organizations transitioning to Agile . It is effective because it enables the customization of item content, status, and workflows, promoting the development of a flexible approach to visual project management.

14. VersionOne Lifecycle

VersionOne is a cloud-based Agile application lifecycle management (ALM) tool that aids enterprises in involving stakeholders, tracking progress, and reporting on diverse software portfolios, programs, and projects. It offers features of Agile development tools connected to Scrum and Kanban methodologies, such as project boards with targets, problems, and faults, spring plans, project road mapping, release planning, and test management.

15. Zoho Projects

A well-known cloud-based project management application is Zoho Projects. You may use it to support your Agile software development workflows because it has many project management tools. By itself, Zoho Project is capable of setting up fundamental features like timesheets, Gantt charts, and resource use.

16. Agile fant

Agile provides the fundamental characteristics of Agile project development tools connected to the Scrum and Kanban methodologies in both open source and cloud-based versions. The tool offers functions including storyboards, burn-up, and burn-down charts, and timeline views. In addition, numerous cutting-edge capabilities for iteration management, project management, product management, and portfolio management are offered by Agile fant.

17. Kanbanize

Agile project management software called Kanbanize creates a virtual workspace by merging business automation and Kanban-style features. You may use this Agile solution to manage your software development projects, programs, tasks, and portfolios because it was designed with scalability.

18. Yodiz

Yodiz is an easy-to-use yet complete Agile tool that aids in managing Agile projects of all levels of difficulty.

The best and most effective approaches to complete story-related Agile tasks are outlined by Yodiz, which simplifies the management of Agile projects.

By using well-planned and practical approaches to provide a great user experience, it lessens the difficulty of handling project and team-related data.

A few of its many unique features include simple user story management at the release and sprint levels, thorough reporting, current performance indicators, issue tracking, dynamic chat, and connection with other applications.

January 26, 2024

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Frequently Asked Questions on DevOps

By CkarisCareer, DigitalizationNo Comments

1. Is DevOps a coding job?

DevOps is not primarily a coding job, but it does involve coding to a significant extent. DevOps professionals use scripting and automation to streamline software development and deployment processes. They create infrastructure as code (IaC) and develop scripts for CI and CD pipelines. While coding is essential, DevOps is a broader role that focuses on collaboration, automation, and improving the efficiency of software development and IT operations processes.

2. Is AWS required for DevOps?

AWS (Amazon Web Services) is not strictly required for DevOps, but it is one of the popular cloud platforms commonly used in DevOps practices. DevOps engineers often work with cloud services to deploy and manage applications. However, other cloud providers like Microsoft Azure and Google Cloud Platform are also used. The choice of cloud platform depends on the specific needs of the organization.

3. Is DevOps a good career?

DevOps is an excellent career choice for individuals interested in the intersection of development and operations in IT. The demand for DevOps professionals has steadily grown as organizations recognize the value of automation, collaboration, and faster software delivery. DevOps skills are transferable across various industries and can lead to high-paying positions. However, the rapidly evolving technology landscape requires continuous learning and adaptation. Those willing to invest in their skills and stay updated can find rewarding and fulfilling careers in DevOps.

4. Which programming language is best for DevOps?

There isn’t a single “best” programming language for DevOps, as the choice of language depends on the specific tasks and tools in use. However, some languages, such as Python, Ruby, and Shell scripting, are commonly used in DevOps automation. Python is particularly popular for its simplicity, readability, and extensive libraries, making it a versatile choice for tasks like writing automation scripts, creating configuration management code, and interacting with APIs.

January 23, 2024

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Technical Skills for DevOps Engineer

By CkarisCareer, CybersecurityNo Comments

1. Coding and Scripting

Coding and scripting are the foundation of DevOps. DevOps engineers must be proficient in programming languages like Python, Ruby, or Java to automate tasks and create tools to streamline development and deployment. Scripting languages like Bash are crucial for writing automation scripts for system administration tasks.

2. Linux Fundamentals

Linux is the operating system of choice for many organizations due to its stability, security, and flexibility. DevOps engineers should understand Linux fundamentals, including file systems, permissions, package management, and command-line utilities. Proficiency in Linux helps in managing server environments efficiently.

3. Infrastructure Management

Infrastructure management involves provisioning, configuring, and maintaining servers and networking components. Tools like Ansible, Puppet, and Chef are commonly used for automating infrastructure management tasks, making it crucial for DevOps engineers to master these tools.

4. System Administration

System administration skills are essential for managing servers, ensuring stability, and troubleshooting issues. To maintain a healthy infrastructure, DevOps engineers should be proficient in user management, software installation, and system monitoring.

5. DevOps Toolchains

DevOps toolchains are tools and practices that facilitate the software delivery pipeline. Understanding and implementing these toolchains is vital for DevOps engineers. Key components include version control systems (e.g., Git), build automation tools (e.g., Jenkins), and deployment automation tools (e.g., Docker and Kubernetes).

6. Cloud Computing

Cloud computing has become the backbone of modern IT infrastructure. DevOps engineers must be familiar with cloud providers like AWS, Azure, or Google Cloud Platform to manage scalable and flexible environments. Skills in provisioning resources, managing cloud services, and optimizing costs are crucial.

7. Database and Network Management

Databases and networking are integral parts of any infrastructure. DevOps engineers should be skilled in database management systems (e.g., MySQL, PostgreSQL, or NoSQL databases) and network configuration to ensure data reliability and efficient communication between services.

8. Testing, Security, and Monitoring

Testing, security, and monitoring are vital for maintaining the integrity and performance of applications and infrastructure. DevOps engineers should have expertise in implementing automated testing, security best practices, and robust monitoring solutions (e.g., Prometheus, Grafana) to detect and address issues proactively.

9. Automation

Automation is at the heart of DevOps. DevOps engineers must automate repetitive tasks to reduce human risks and increase efficiency. Skills in creating automated deployment pipelines, infrastructure provisioning, and configuration management are essential.

10. Software Testing

Effective software testing is crucial to catch bugs and ensure the quality of the codebase. DevOps engineers should understand and integrate different testing methodologies into the CI/CD pipeline.

11. Computer Programming

While DevOps engineers aren’t necessarily full-time software developers but must understand software development principles. Proficiency in algorithms and software design patterns can help DevOps engineers write more efficient automation scripts and troubleshoot code-related issues effectively.

12. Security

Security is a top priority in DevOps. DevOps engineers should be knowledgeable about security best practices, vulnerability assessment, and risk management. Implementing diverse security measures throughout the software development lifecycle protects sensitive data and prevents security breaches.

13. Configuration Management

Ansible, Puppet, Chef, and other Configuration Management tools help DevOps engineers automate the configuration of servers and applications. Mastering these tools enables consistent and reproducible infrastructure deployments.

14. Source Code Management

Source code management is essential for version control and collaboration among development and operations teams. DevOps engineers should be proficient in using Git to track changes, merge code, and manage code repositories effectively.

15. Continuous Delivery

Continuous delivery is a fundamental DevOps practice that automates code deployment to production environments. DevOps engineers should understand the principles of continuous integration (CI) and continuous deployment (CD) and create and maintain CI/CD pipelines for efficient and reliable software releases.

January 22, 2024

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How to Become a Data Scientist?

By CkarisCareer, Cybersecurity, DigitalizationNo Comments

To become a data scientist, you should acquire a strong foundation in mathematics, statistics, and programming. Gain expertise in data manipulation, analysis, and visualization. Master machine learning techniques and algorithms. Build a portfolio of projects showcasing your skills. Continuous learning and staying updated with industry trends are also essential for success in this field. You can follow this step-by-step guide to thoroughly understand the process of becoming a data scientist.

January 21, 2024

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Database Tips; Role Of Unique Key

By CkarisCareer, Cybersecurity, DigitalizationNo Comments

A unique key in DBMS serves many critical functions in a database management system (DBMS):

Maintains data reliability- Unique keys ensure that data stored in a database is accurate and consistent by prohibiting entry replication. By doing this, the possibility of contradicting information is removed, and accurate data display is guaranteed.
Determines distinct entities- Order numbers, merchandise codes, and customer IDs are examples of distinct keys that serve as designations for specific entities in a table. This facilitates the retrieval, modification, and analysis of individual data points.
Allows table associations to exist- Unique keys provide the basis for creating associations between records. In order to facilitate data connection and table movement, foreign key restrictions make connections to unique keys within various tables.
Enhances the speed of queries- Table index creation is possible with unique keys. By offering a rapid and effective means of locating certain data depending on the distinct key columns, these types of indexes expedite the handling of queries.
Avoids data duplication- Reducing redundant entries using distinct keys minimizes the replication of information and maximizes storage capacity. In addition to reducing needless data upkeep, this increases database reliability.
Ensures the validity of data- During the addition and modification of data, unique key restrictions serve as an inspection tool. By preventing the introduction of identical values, they preserve the established data constraints and guarantee data security.
Helps with data analysis- By offering a trustworthy point of departure for organizing, arranging, and classifying data, unique keys facilitate the efficient evaluation of data. This enables in-depth examination and accurate recommendations.

Credit to simplilearn

January 18, 2024

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Top Cloud Computing Skills You Need to Know in 2024

By CkarisCareer, Cybersecurity, DigitalizationNo Comments

1. Cloud Security

The very nature of cloud computing—outsourcing the storage and retrieval of often-sensitive business data—necessitates a profound focus on security and trust. IT security is (or should be) a top priority in most organizations, since a single security breach has the potential to expose customer data, steal valuable intellectual property, and permanently damage a company’s reputation. The demand for cybersecurity talent in general is massive and growing every day, but particularly in the cloud domain.

2. Machine Learning and AI

Machine learning and artificial intelligence in general is a red-hot market segment, cloud computing aside. But since the major cloud vendors have offered tools and services that provide greater access to cloud-based AI and machine learning applications, they have become vital cloud computing skills. Once referred to as “infrastructure as a service” by Amazon’s AWS division, cloud computing can deliver the computing power and infrastructure that organizations of every size need if they want to dabble in AI and machine learning.

As the machine learning industry has matured, the delivery of machine learning solutions over the cloud is now referred to as machine learning as a service, or MLaaS, and is expected to experience a compound annual growth rate (CAGR) of 43 percent through 2024. As with cybersecurity, machine learning and AI are in need of talent generally. Combining technical skills required for cloud computing with AI skills, however, could exponentially raise your stock as a professional in the field.

3. Cloud Deployment and Migration Across Multiple Platforms

As organizations continue to migrate native IT systems to cloud platforms, or from one cloud platform to another, they have a need for professionals with deployment and migration skills. This isn’t as simple as flipping a switch, but requires advanced cloud computing skills in order to protect the integrity and security of data while minimizing downtime. While it’s always smart to avoid limiting yourself, many organizations need professionals who understand all three major cloud platforms. If you have AWS skills, Azure skills, and Google Cloud skills, you’ll have more career opportunities and more value within a given organization.

As a cloud computing professional, there are other technical skills you should have to thrive in your career. Being skilled in databases, DevOps, and other related technologies can help you to succeed and grow in the cloud computing industry.

4. Database Skills

Globally, we create 2.5 quintillion bytes of data every day, much of it unstructured but with the potential to provide enormous value for organizations. As these databases are mostly hosted on cloud platforms, the interest in distilling useful insights from this information fuels the demand for professionals with the cloud computing skills to manage, store, and access data. If you’re an IT professional, this is the perfect time to invest in learning a database querying language and an associated database platform.

The de-facto standard database language to learn is SQL. If you want to develop your skills a little more, you could consider learning MySQL, MongoDB, or Hadoop. If you’re new to database querying languages, then a good place to start is with Simplilearn’s SQL Certification Training Course

5. DevOps

Derived from the term “developmental operations,” DevOps refers to the popular method of software development that takes the entire software lifecycle into account, from planning to maintenance. The DevOps method enables organizations to automate certain updates and get updates out much quicker and efficiently. It’s an important development process in the world of cloud computing, so adding DevOps to your set of cloud computing skills is a smart move.

January 18, 2024

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Best AI Tools for Productivity

By CkarisCareer, Cybersecurity, DigitalizationNo Comments

AI tools increase productivity by completing redundant and easy tasks, providing more room for creativity. It eases the hard work letting users do the remaining smart work, subsequently saving their time and energy.

1. Copy.ai

It is a writing assistant that generates high-quality written content of different types. Serving as a source of good social media posts, ad copy and product descriptions, it combines the power of NLP and Machine Learning to deliver the promise. It also provides creative suggestions, grammar corrections and ready-to-use writing templates.

2. Jasper

It is a voice-based AI that acts according to your voice commands. Be it scheduling meetings, providing information or setting reminders, Jasper can perform numerous tasks. It uses NLP to listen to you accurately. It comes with the option of integration with applications and devices to further aid in saving your time.

3. Surfer

It is the SEO tool that allows using AI to gain data-driven insights and recommendations to improve website rankings. It analyzes different factors such as content length, keyword usage, headers and others to deliver SEO-friendly content. It is the right tool to enhance content strategy and improve the website’s visibility and organic traffic. Surfer is also a significant AI tool for optimizing meta-tags and title tags.

4. WriteSonic

It is a content creation tool specializing in email campaigns, blogs and social media content. It writes creative, engaging, attention seeking and persuasive content based on preferences and prompts. Providing the facility to adjust tones and writing styles, it can be customized according to the brands and target audiences.

5. Scalenut

Scalenut generates content ideas and optimizes content performance through data-based insights to enhance the content strategy. It focuses on search trends, competitor analysis, and social media signals to provide the trending and relevant topics crucial for content creation. It can also recommend optimization via SEO improvements, content length adjustment and suggestion of appropriate keywords.

6. Grammarly

An AI-powered grammar correction tool, it provides the facility to improve grammar, punctuation, spelling and writing quality. Offering real-time suggestions and corrections for context-based spelling mistakes, style and structure improvements and grammar errors, it also provides conciseness, tone, clarity and engagement.

7. Wordtune

It enhances the writing quality primarily by providing alternative phrases as suggestions to meet the requirement of clarity, coherence and writing impact. It analyzes the context and intent of the text through NLP to provide better results. It is also useful for refining vocabulary, writing flow and efficient communication with readers.

8. Hemingway

Wishing to increase your readability to avoid boring the readers? Hemingway is the right tool serving specifically the stated purpose by reducing the complexity and complementarily enhancing the overall style of content.

9. Quillbot

It is a paraphrasing tool that is significant in rephrasing and rewriting sentences without a change in meaning. You can use it to understand the complex text and write the sentence yourself. It provides alternative sentences for refined coherence along with multiple creative and variable suggestions, subsequently adding diversity to the text.

10. Originality.ai

It is another text enhancement tool that maintains the originality and uniqueness of content by detecting plagiarism. Helping you write authentic content, it compares the text with a database comprising various sources. It highlights the lines with plagiarism while providing a detailed report for users to cross-check the same.

11. Neural.love

It provides personalized and unique artwork based on users’ styles and preferences. It delivers almost all artistic concepts by providing customized results coupled with unique artistic expression. It can express your commands in landscapes, portraits, abstract designs, and more.

12. Stable Diffusion

This AI technique generates and manipulates the image without compromising quality. It delivers realistic and enhanced images over time by application of noise on the initial image. The results are coherent and visually appealing images comprising textures, rich details and realistic appearance.

13. DALL·E 2

The DALL·E 2 is the advanced and specialized version of image generation from textual description. It harnesses the power of NLP and Generative Modelling for the interpretation and conversion of textual prompts to generate coherent and virtually realistic images.

14. Canva Pro

Canva Pro is an all-in-one design platform with functionality beyond sole image generation. It is the source of illustrations, templates and design elements open to user customization and creativity to generate a further variety of visuals. The user-friendly interface has made users leverage its business strengths to create professional-looking images, presentations, social media posts and much more.

15. Mem

It is based on NLP for text comprehension and identification of the key concepts, entities and relationships, attributing to the accuracy of organization and retrieval. It holds the capability to summarize lengthy texts and automatically tag for effortless location. It offers sharing and collaboration along with personalized insights and suggestions on preferences and note-taking patterns.

16. Fliki

High quality meets speed at Fliki, where you can turn text into videos with AI voices or generate videos from blog posts or scripts in just 2 minutes. With more than 1000 voices in 75 different languages, it has millions of images, background music or video clips, and numerous brand color and font options.

17. Synthesia

Synthesia specializes in the creation of realistic and customizable videos where it provides the option for the generation of reality-based avatars capable of speaking, expressing emotions and interacting with the audience. It is customizable based on the user’s preferences. Synthesia provides videos in multiple languages while taking input in a single language. It can also control the facial expressions and gestures of avatars. It generates realistic voices based on input text or script in natural-sounding voices with customization options for tones or styles.

18. Pencil

The platform serves the action of e-commerce ad generation from existing assets, brands and ad account data. Allowing the generation of ready-to-run static and video ad creatives, users are free to format them for different channels. The process is simpler by requiring solely input of brand assets such as color hex codes, logo files, fonts, brand profiles and target customers, and they can create personalized ads for specific products by identification of objectives, metrics, targets, purpose and brand assets for the project.

19. Pictory AI

The characteristic features of Pictory AI are a composition of advanced algorithms to edit video footage to create appealing videos automatically. It can merge and trim clips, add transitions and music, and optimize the overall video flow. Intelligent scene detection is useful for organization, video categorization, and quick access to specific scenes. The customization options for color schemes, themes, fonts and visual effects, voice-over, and text-to-speech from input text have increased its usage.

20. Play.ht

Based on NLP, it produces more than 570 voices regardless of gender, with human sound and tone finding wide usage in business and personal endeavors. It has a user-friendly interface and cheap prices with usage without any hardware or software. It comes with full commercial and broadcasting rights. Users can express emotional speech styles, customize pronunciations and pauses, edit voice tones and download, preview and revise the videos any number of times. It also offers podcast hosting, audio widgets, bulk audio creation, analytics and javascript recognition.

21. Otter

Otter provides playback control to play-back meetings with synced audio and text. Users can edit time codes, speakers and text while controlling playback speed. The integration with commonly used meeting software like Google Meet, Zoom, Microsoft Teams and others is also available. It allows the identification of speaker names, usage of admin controls such as user management, reporting, centralized billing and the ability to share via groups and links.

22. Descript

Suitable for editing and sharing audio and video, the transcription option is both automatic and white glove. The screen and remote recording, with editing functions like video editing, podcasting, filler word removal, and overdubbing, are solely available at Descript. The sharing facility, such as multi-user collaboration, social video and publishing, are among other useful features available.

23. Beautiful.ai

The AI platform serves by providing slide design, presenter tools, auto-save, file sharing, charts, template creator and a library. It also provides collaboration, multiple device access and compatibility, and messaging. It also provides real-time updates, reporting analytics, search/filter, text editing, third-party integrations and video support.

24. Pro Rank Tracker

It is an optimum tool for application management, benchmarking, keyword rank tracking, data import/export, visualization, dashboard creation, competitive analysis and integration with other software. The app benefits by monitoring the content, thus providing analytics and generating multi-language, caption and location-based content. The real-time data, updates and notifications, reports and statistics help in SEO management, scheduled and automated reports, trends and websites, visual analysis, user management and much more.

25. Ocoya

It provides AI-based writing, automation, analytics and scheduling with integration with more than 30 applications. It comprises thousands of images and video templates to be compiled manually or automatically through the power of AI. It is also used for shortening long links and providing a collaboration workspace for members.

Credit to Simplilearn

January 16, 2024

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