Article | July 19, 2021
Storytelling is an art. It brings out the best of the teller and the listener. For centuries storytelling has been proved to be a successful way to reach out to the masses. However, a myth about storytelling is that it is considered only as a subject of literature. Well, we are here to break this myth.
The art of telling a story belongs to every field. Be it literature or science, electronics or computers, every field has its own story, even astronomy. Likewise, every little particle has a story to tell.
There is a story in every line of code written by software developers. The user tells a story, and the software developer writes it in a computer code language. Read further to understand more about storytelling in software development.
The Art of Storytelling in Software Development
When a user comes across a problem that needs to be simplified digitally, he explains the problem to the developer or salesperson.
For example, a shopkeeper needs to digitalize his inventory; he will talk about the problems he is facing while manually managing the inventory. This manual management could be handwritten or a basic excel sheet.
Now, when he tells his issue, he says that “I need software that easily tells me about the things I have in my inventory, goods that are to be stocked and also the goods that have and do not have demand.”
When the shopkeeper elaborates his problem and tells them in a story-like manner, the concerned person understands it better. Now imagine if they would say that, “I need software to know about the goods in the inventory.” Unfortunately, this simple sentence does not convey what exactly they are looking for. As a result, the salesperson would not be able to give them appropriate solutions.
Once the story behind the work is understood, the entire team puts in the effort and comes up with perfect solutions. From coding to the visuals of the software, everything works in synchronization. Thus, the story behind the work is of great importance.
Storytelling in software development has a structure. It has a beginning, middle part, climax, end, visuals, and imagination. The only difference in the storytelling tool is that it is known as understanding the need of the user (beginning), designing the solution (middle part), CTAs and ways to reach the target audience (climax), visually appealing and adequately working software delivery (end).
The success of storytelling in software development depends on how well the developer connects with the user’s problem. Once the entire team is on the same page, emotionally and practically, they deliver the most reliable solutions.
The Process of Storytelling in Software Development
Storyteller software is a tool that listens to the thoughts and ideas of the customer, understands their audience, and then transforms them into concrete solutions. Storytelling software uses the following steps.
● Understanding the user story
● Implementation of the story
Understanding the Story
As described earlier, understanding the story is learning the background of why the solution is being developed. Once the digital storytelling software is understood, the implementation of the solution becomes more apparent.
When the user tells his problem, there is always a story in it. When this story is told to the team, they give a set of solutions to the user. It is like giving them the menu to select the dish they like to be served.
Once they select the dish, it becomes an easy job to make it. But you need to ask the user why he is selecting the particular solution. Because the ‘why’ will answer almost every question that is needed to design the appropriate solution.
Implementation of the Story
The implementation of the story is the ‘show, don’t tell’ part. You need to display the solution on the screen for the user to understand. The user does not know the coding language, but he will understand that if I click this, this happens. And that understanding for the user is the implementation of the story.
We can also say that the implementation of the story is the architecture of the software. A well-built architecture will convey the story to the users. For example, when HRIS software is developed, the HR departments will know that the story behind the development was to ease out their tasks. These tasks could be anything from attendance to salary management.
Always remember, only a well-understood story can be implemented most dependably.
The conclusion of the story is the delivery and installation of the visual storytelling software. The user should be able to find all the answers to his problems in the best possible way. Their story that started with ‘once upon a time’ should end happily ever after’. And this is possible only when the entire team is connected emotionally and practically while working towards the solution.
The conclusion should also convey the climax of the story. The climax implies the CTAs or the final work that the software does after getting the desired data.
Only after you have reached a conclusion and the user is satisfied you will know that you have written an excellent story. This good story is the incredible software you built by gathering the plot, characters, problems, and other raw material from the user!
Benefits of Storytelling in Software Development
We know the process of storytelling in software development, but what do we gain from it? You must be thinking, can’t we listen to the demands, design a solution, and give the user what he wants? So, what is the need to understand the story behind the software?
Well, software delivered without understanding the story is merely a puzzle created. In the future, the software would not be able to answer the most important question -WHY? And that could prove that the software is a failure.
Here are some benefits of storytelling in software development.
● Straightforward Approach
Instead of beating around the bush or designing complicated solutions you will deliver the solutions in simpler steps. And this is because you have well understood the story behind creating the software.
● Understand the Big Picture
The user's story will let you understand what outcomes or expectations the user has from the software. The vision of the user and their expectations from the product can be understood only when the whole team has clarity on what and why they are working.
● Emotional Attachment
When software is developed practically and empathetically, the user also connects well with the software. People have to be given an emotion to get clicks on CTAs or use the software.
A survey was taken wherein people had to donate to a cause. As a result, two types of causes were created. One group was asked to donate food for an underdeveloped country, and the other group was asked to donate for a hungry child. The second group donated more, and many of them stated why they felt emotionally connected to the child.
Thus, the emotional connection of the team to design software is essential.
● Give Better Outcomes
Stories assure better results and excellent outcomes. They make sure that the team works best and the customers are motivated to take action. The story behind the software helps build the software in precisely the way it is asked for.
Thus, You Need to Tell a Story
Building a great story and connecting it with the user’s pain points is the best way to develop a creative solution. This helps paint a picture in the team's minds as to what is being built and why.
Storytelling in software development is essential as each software should convey an incredible story.
Frequently Asked Questions
What is storytelling in software development?
Storytelling in software development understands the story as a tool to design the software more accurately. The thoughts and requirements of the user are used as raw materials and utilized to create an efficient solution.
The story also helps in understanding the audience for whom the software is being developed.
What is the importance of storytelling in software?
Stories create better solutions and excellent outcomes. They motivate the audience to react in a certain way. They connect with the user and the audience on an emotional level. They are impactful and even let developers learn a lot.
They help create better software by keeping the team connected through the story.
What are the software storytelling tools?
Software storytelling tools are the elements that help implement the solution most productively. These are the user's point of view, emotionally connect, purpose, and the answers to the questions- what and why.
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"text": "Storytelling in software development understands the story as a tool to design the software more accurately. The thoughts and requirements of the user are used as raw materials and utilized to create an efficient solution.
The story also helps in understanding the audience for whom the software is being developed."
"name": "What is the importance of storytelling in software?",
"text": "Stories create better solutions and excellent outcomes. They motivate the audience to react in a certain way. They connect with the user and the audience on an emotional level. They are impactful and even let developers learn a lot.
They help create better software by keeping the team connected through the story."
"name": "What are the software storytelling tools?",
"text": "Software storytelling tools are the elements that help implement the solution most productively. These are the user's point of view, emotionally connect, purpose, and the answers to the questions- what and why."
Article | May 24, 2021
Reveal makes extensive use of AI models. Generally, an AI model is a software program that has been trained on a set of data to perform specific tasks like recognizing certain patterns. Artificial intelligence models use decision-making algorithms to learn from the training and data and apply that learning to achieve specific pre-defined objectives.
Reveal offers a Model Library which consists of a collection of pre-existing models you can use straight out of the box, extend or adapt to suit your specific needs, or stack and pack to achieve a larger objective. We give you the ability to create your own AI models, which you can use for your own purposes as well as make available to others via our Model Marketplace. We also will work with you to create custom models such as the ones that drive DLA Piper's Aiscension and those used by Epiq in its new AI Model Library program.
Article | July 23, 2021
The content market industry is growing rapidly. The US spent almost $10 billion on content in 2016. And with the merge of technology and content, this figure has multiplied several times. As a result, humans can concentrate on creativity while machines assist them in beautifying their work.
The machines that we are going to talk about are AI-driven content marketing platforms for content creation, curation, and distribution. We will also let you know whether the world of writers is going to be extinguished or not!
Content creation needs to be unique. There are numerous articles, blogs, listicles, etc., written on the same topic. So what do you need to do to make your content stand out? You might be thinking of SEO, personalization, target audience, and error-free content. But when all this is carried out manually, it turns out to be a daunting task.
What if we tell you that the AI industry has revolutionized the content sector. Machines assist in content creation, curation, personalization, prediction, SEO analysis, keyword search, and everything you can think of.
What is AI Content Creation?
More than 2.5 quintillion bytes of data are created every day! Imagine the uniqueness your content needs to define to stay ahead in the race. The competition is unbelievable! This is where AI and automation meet content marketing.
AI content creation helps to create, polish, personalize, distribute, and market user-centric content. AI uses predictive analysis, natural language process (NLP), natural language generation (NLG), and business intelligence to understand a buyer’s journey.
AI helps in creating an efficient content strategy for the writers. It also assists them in using the right keywords and publishing on the right platforms. Moreover, content that is checked by the AI content creation algorithm has the least or no possibilities of errors.
Below are the benefits of AI content creation and how it plays a significant role in shaping the future of content writing.
Benefits of AI content creation
Predictive Intelligence is predicting the customer’s behavior and serving them precisely what they are looking for. It also helps the buyer to navigate to the things exclusive based on their browsing patterns.
For example, if a customer is looking for casual shoes and has put the chosen ones in the cart, the AI-powered algorithm will suggest some socks to go with the shoes. The algorithm is designed so that based on the shoe size, color, and brand, it suggests the best pair of socks!
And when this role is played in content creation, predictive intelligence suggests words, sentences, synonyms to create excellent content.
When you have a process that foretells you the buyer’s journey, it becomes easy to create personalized content and yield the best results.
A study has proved that 90% of the customers get converted based on personalized AI content. AI-driven content marketing tools help gather all the customer's activity online and then give them the relevant suggestions.
AI content creation tools compare your content with the competitor’s content and your previous works and performances. Based on that, it predicts the content to be framed. Finally, it recommends words and phrases to frame innovative, data-driven content.
AI content creation helps in increasing your brand value and reach your target audience effortlessly.
Chatbots for Customer Service
Chatbots as customer service representatives are immensely successful. Chatbots are like a virtual friend that meets the customer. They not only provide information but also interact with the customers for fun.
Chatbots are trained to have a conversation just like humans. They ask about feelings and then have a one-to-one conversation about ways to feel better.
For example, when a chatbot is used to book a test drive for a car, it notes the personal details and saves the date for the concerned person and the customer on the calendar. That is pretty much robotic. But in the end, it tells you to have a pleasant drive and not to forget to wear your seatbelt! This is where it connects with the customer.
Thus, chatbots can help promote content, navigate customers to the correct pages, and are more likely to fulfill the conversion goal.
Examples of AI Content Creation Applications
Twinword is one of the examples of AI-powered keyword research tools. It speeds up the keyword research process and provides the most curated list of LSI, long-tail, short-tail keywords. It understands the customer’s intent and provides you with the target keywords.
It is one of the Automated AI Content tools used to write articles, blogs, and other relevant content. It has been said to deliver content with the most competitive keywords and a proper understanding of the industry dynamics. In addition, it creates high-quality content which is almost 90% unique.
The AI-powered tool does more than grammar checks. It checks your article's tone and gives you options to improve or change words, sentences, length, etc., according to the audience. It frames sentences, gives synonyms, and also creates your writing graph. It shows how your writing has evolved with time and keeps on assisting to improve your writing. This is one AI tool that has been widely used by writers and is a proven success.
This tool analyses your content and makes it ready for the competitive market. It minutely analyses your content for SEO and content research and gives appropriate suggestions for keywords and content optimization. It also has a keen eye on keyword intensity. Thus, it is the best tool to automate content marketing and keep you ahead of the race!
This tool provides excellent AI Content and User Experiences across multiple platforms. It tracks the buyer’s journey, analyses the user’s behavior on your website, and then automates a personalized experience for the customer. In addition, it generates e-mails and newsletters for the customers for an enriched experience. All the content generation is very personalized and connects readily with the target audience!
These are some of the content creation services for optimization, creation, and keyword research. But there is a plethora of AI in content marketing and automated tools for content creation to choose from!
Will AI replace human writers?
No. AI content creation is still in the infancy phase. It can create newsletters, small articles, or emails but not valuable content like humans. However, there are AI content creation tools that are said to write almost 800 articles in a year. So if you are looking only at content generation, then yes, AI performs a better job than humans.
But can machines feel and express the emotions that humans do? No matter how many trillions of words they have fed themselves, expressing emotions with the right words is still a human thing. Likewise, there are stats to prove that humans tend to take action when they feel emotionally connected. And we all know machines are practical beings!
So as long as humans are social and emotional, there is no way that AI and automation can replace writers now or in the long run. It can assist humans in writing better quality, personalized and well-researched content, but never replace them.
If you still have second doubts, think, did the invention of smartphones with excellent cameras, photo studios, or design studio apps like Adobe photoshop replace photographers?
So relax, use AI and automation to minimize your efforts, gather data, and give you a piece of structured and well-researched content. Then use your creativity skills and enhance them by giving the human touch because that is what only a human brain can do!
Frequently Asked Questions
What is AI in content creation?
AI is automated Insights in content creation. It helps optimize the written content according to the target audience. It uses Natural Language Generation (NLG) to create content and narratives. In addition, it can automate repetitive tasks. Once AI creates the content, a human writer can enhance and personalize it accordingly.
How does AI help in content creation?
AI provides an in-depth analysis of the content, website, and target audience. Based on this research, creates and suggests changes in the content. This in-depth research of AI helps deliver valuable and personalized content to the target audience with the right set of keywords.
How do you automate content creation?
Content creation can be automated with the use of automation tools. These tools recommend the topic, keyword, and tone of the article to be written. In addition, they assist the writer with the correct grammar, synonyms, and keyword predictions. If it is a technical article, the automated tool can write the entire article with no errors. Examples of such tools are Articoolo, Grammarly, Onespot, etc.
"name": "What is AI in content creation?",
"text": "AI is automated Insights in content creation. It helps optimize the written content according to the target audience. It uses Natural Language Generation (NLG) to create content and narratives. In addition, it can automate repetitive tasks. Once AI creates the content, a human writer can enhance and personalize it accordingly."
"name": "How does AI help in content creation?",
"text": "AI provides an in-depth analysis of the content, website, and target audience. Based on this research, creates and suggests changes in the content. This in-depth research of AI helps deliver valuable and personalized content to the target audience with the right set of keywords."
"name": "How do you automate content creation?",
"text": "Content creation can be automated with the use of automation tools. These tools recommend the topic, keyword, and tone of the article to be written. In addition, they assist the writer with the correct grammar, synonyms, and keyword predictions. If it is a technical article, the automated tool can write the entire article with no errors. Examples of such tools are Articoolo, Grammarly, Onespot, etc."
Article | July 27, 2020
CIOs have been tasked with many of the same issues for decades. Cost concerns, generating revenue growth, supporting the digital business, and managing cyberthreats, all while navigating skills shortages, have been a way of life for CIOs. And then 2020 presented additional challenges for data centers. Let’s examine in more detail the top CIO priorities, and examine how Veeam can help.