Machine or Human? Re-allocating work in the age of AI.

Artificial intelligence (AI) and automation promise to improve businesses in two ways. Firstly, it will transform business and IT operations more productive by transferring conventional tasks from humans to bots that can perform tedious tasks error-free. Secondly, it will allow the working force to work on tasks which require profound attention and creativity. This will result in a happier and productive team.

However, how do you create a dividing line between human work and machine work? How do you reallocate workloads that maximise team productivity, drive business towards innovation?

In the emerging, AI empowered organisation, at Depasser Infotech we have plenty of work to be done. Most of the tasks are suitable for humans where some of them are suitable for machines. Rather than having a hard boundary, we keep it virtual that is continually shifting.

We classify the tasks on the basis of cognitive and non-cognitive, and also on the basis of routine and non-routine. We are working towards automation following this classification which is a base for an intervention of AI in our work allocation.

Customer interactions over the web, automated code generations and many other repetitive tasks are done by intelligent automation which is preferably done without human intervention and human error. Our AI team is building an intelligent tool which will handle the entire project allocation work. The tasks and projects will be allocated to the team members with respect to their experience and interest in a particular domain. With machine learning, we have dramatically increased the level of automation.

Automation has opened up other and better opportunities for people.

As technology takes over these non-cognitive tasks, it has helped our team to focus on tasks that require more creative work. This includes designing user-interface, collaborating with clients for strategic partnerships to provide ideal solutions to grow their business.

We are also on the path of leveraging access to AI technology where we are building platforms for regular engineers, or even a business analyst. They can create a machine learning model in their work area, and with the date, they have access to.

Our sister company iThink Logistics is leveraging AI using NLP and chatbot based self-solution on interacting with customers. It has also developed a virtual calling assistance that can understand the language, the context and provide a real-time update.

As automation intelligence continue to acquire more human-like skills, people are looking this is human vs machine battle. We at Depasser Infotech, see this as a future where they co-exist and will ultimately result in increased productivity.

How tech will change marketing in 2019?

The world is digital, and it has been for a while, unless you are not so involved with digital affairs and living an isolated life. We have been watching the marketing trends that are going digital. Marketers reaching customers where they are!

Interestingly, consumers are connecting to the brands which add value to their lives through content that provides human engagement.

In past 2 to 3 years we have seen a rise in personalised campaigns dropped directly in smartphones and mobile devices. It has been statistically proved that smartphones have the highest engagement rate for marketing campaigns. It has to be a significant part of your marketing efforts in 2019. As the online environment has become faster and comes with more options, marketers need real-time data about their target audience to show them more significant ads.

However, your customers trust the people they know. They trust the content that helps them to make a wise decision than the ads. Only 9% of digital ads were viewed for more than 2 seconds last year. With digital trends and rise in content marketing, your potential to connect with your audience is boundary-less.

We are experiencing technology enabled trends with artificial intelligence, virtual reality and bots that are popping up in 2018. More and more brands are adopting these trends to build customer experience.

New marketing technologies have enabled marketers to explore and innovate new ways of marketing. Howsoever these technologies are not just limited to marketing domain; the general technological advancement will have a massive impact on marketing by 2019. Machine Learning (ML) and Artificial Intelligence (AI) are examples of this technology advancement that has gained significant focus in marketing.

Improved customer interactions

Long gone are those days where mass marketing used to work. Today, customers seek more personalised and simple ways to connect with a brand. Machine learning promises to deliver confidence in the brand. Chatbots can make customer experience complete personal.

Being omnipresent over multiple mobile devices will have a distinct advantage. Having consistent marketing content across each device is the target any marketer should aim for.

Content curation with AI

AI does not only generate content; it can also curate the content. Content curation by AI will help you better connect with visitors by showing them more relevant content. E.g. Netflix’s recommendations for movies that you might find interesting are pretty accurate, isn’t it?

Customer segmentation

AI enables marketers to distinguish customers into different personas by understanding what motivated them.

By analysing customers based on their movement, marketers an achieve dynamic micro-segmentation to predict the future behaviour accurately. AI will take customer segmentation to the whole new level.

What you should take out of this?

As a marketer, wherever you choose to implement AI, realise that IT is soon going to reshape marketing entirely.

Since this technology is continuously evolving and unfolding, AI should be a top priority investment for industries that wish to thrive in the competitive market. Those who miss doing so, will be left behind.

Automation: It must be a way of life

All the buzz we hear about automation, some of it is real, and few of them are just hype, but it is certain that it has become an irreplaceable part of human life.

What is automation?

Automation is a technique of making a process or a system operate automatically.

Think about the cell phone you use, the car you drive to your workplace, the television, the computer system you use, think about any modern convenience or necessity in your surroundings. Without talented individuals and technology advancement, nothing of these would be possible.

Technology is and will continue to play a critical role in enhancing the quality of our life and business.

Automation in Business processes can be managed collectively to improve the company’s overall workflow. The organisation can achieve greater efficiency and adapt continually changing business needs. It reduces human error while clarifying job roles and responsibilities.

Technology-Enabled automation determines many different segments of business including sales, operations, human resource and so on.

Automation is not something which will take away all your job, neither it will create plenty of jobs in one go. There is no way you can escape or resist automation.

Automation is not new it has always been present since ages. Assuming we all know the essential industrial revolution happened, I am moving ahead with the topic. Today, technology is maturing in areas of artificial intelligence and machine learning which is surpassing human abilities.

Today, we can divide automation into two broad categories. A) Without intelligence. B) With intelligence.

Let me give you a brief understanding of each with an example.

You must have heard about IVR (Interactive Voice Response), it’s a technology that allows humans to interact with computers to find answers to their queries. This system enables identification, segmentation and routing of callers to the customer service agents. IVR is simple, effective and can significantly reduce cost and increase efficiency within the company.

IVR can respond to the limited query, and a human gives the input. This is the ideal example of automation without intelligence where its ability to talk to a human is restricted.

Now let’s consider Google Duplex as an example of automation with intelligence. Google Duplex is a system that accomplishes real-world tasks over the phone.

Check this out.


It is a technology that conducts natural conversations to carry-out real-world tasks.

How will intelligent automation impact your business?

Imagine 25-30% increase in productivity of your workforce! While improving productivity, intelligent automation also avoids the common human errors.

Business can achieve exponential growth with limited resources. Your primary business tasks can be performed efficiently and freeing up your employees for non-repetitive, creative jobs.

Automation and intelligence will help humans to explore more creative and thought-based tasks.

Learn how these trends can help grow your business. Move forward with intelligent-automation and let your business adapt it.

Do your research and, start investing in technology and watch your business grow.

Read its not the data, its what you do with it.

Automation and work-life balance

The prevailing opinion about the future of technology and AI is that these changes will eat up the jobs and make humans obsolete at a workplace. However, smarter heads are looking beyond this common misconception, they instead empower employees to be more efficient at a workplace and achieve work-life balance. Automation will help human to live up to full potential.


Are you following these steps in your project lifecycle?

Today, software is a part or wholly involved in all things around us. There are various purposes behind software development. The software has become an integral part of our lives and has made our lives easy – be it educational, professional or personal.

The software is no more extensive programming that is executed by one person. It is a result of analysis, documentation, complex structure development and maintenance. software development life cycle (SDLC) can face many challenges during each phase, but the biggest challenge is from where to start. With no defined phases of SDLC can put management in a risky situation with the waste of both time and cost.

There are six stages of software development lifecycle. Let us understand each of them in detail.


  1. Requirement gathering and analysis

It is a process of determining your client’s expectation for a new project. This is the very initial level of the software development lifecycle. Collect the project requirement. This phase includes project managers and analytics who collect the information and prepare documentation.

The meeting is held with project stakeholders to discuss the various areas of the project.

Collect following information in this phase.

a) Gather all the requirement from the client. Understand the purpose of the project/software.

b) Validate the information collected, fill the understanding gap, if there is any.

c) Formally document the requirements. Remember, these documents are tracked during the entire project lifecycle. Prepare a comprehensive report of understanding, diagrams which is helpful for the developers to understand the project in brief. DFD (Data flow diagram), Activity diagrams are essential to creating at this phase.

d) The final step in the requirement gathering phase is verification. This step verifies that the documented requirements are accurate and matches the expectations of the client.

Requirement gathering –> Validating –> documentation –> Verification

Finally, create a document mentioning the requirement specifications. This serves as the guideline for the entire project for each stakeholder.


  1. Design phase

This phase begins once the client signs off the functional requirement document. Here, the client allows the design team to start creating the actual user-interface of the project.

In this phase, we create the software design as per the documented flow and client design preferences. The design phase serves as an input for the next phase which is the implementation/development phase.


  1. Development/coding

On receiving the design documentation, divide the entire project into smaller parts (modules), and the developer team starts actual coding.

In this phase, the main focus is on the project developers, and this can be the most extensive phase of the project development lifecycle.

Building the system –> Integrating modules –> Preparing the technical environment for software –> Approval for the testing phase


  1. Testing

In this phase, test and integrate all the components of the software project. There are basically two types of testing. Manual and automated.

The software may take one or two combined methods of testing depending upon the complexities involved in the software. Different kind of software tests includes security, performance, accessibility, compatibility, stress and regression tests.

Once the testing is done, the developers need to solve the error and bugs, if any.

After resolving the error, re-test the module, if time permits, re-test the entire software.


  1. Deployment

The deployment phase actually includes two sub-phases. A) beta deployment b) Final deployment (Live).

The beta deployment phase generally launched on a company server. Issues are being caught and resolved before the final launch. This is the time where you can implement different tests related to user monitoring.

Based on the issues found, the development team make the final changes and make the product live on the client-server and shift to the actual domain.


  1. Maintenance

When your client actually starts using the system, they may face some real-time issue which we need to resolve time to time. This process is known as maintenance. Maintenance doesn’t only include errors, but also includes upgrading server space, updating domain, and other minute changes to make the software perform better than before.

Why should you be following and tracking SDLC?

  1. Each phase of software development life cycle helps to ensure a common understanding between the client, project manager, developers and testers.
  2. It breaks down a complex project into manageable parts.
  3. Encourages a healthy agile development process.
  4. It helps to review the performance of each stakeholder.
  5. Lastly, Understanding and following SDLC can result in timely completion of the project.


Feel free to share your ideas in the comment section below.

You may also like to read Its not the data, its what you do with it.

Its not the data, Its what you do with it

Data is primarily information that can either be read by a human or a machine. There’re different types of data including personal data, sensor data, web data among many other. Interestingly the world is rich in it. Some data can be raw, and some information could be analysed and presented in different ways.  Innovation and technology fields are leading in the production of more knowledge pertaining to different things.

During a Gartner Symposium/ITxpo in 2015, the vice president at Gartner and global head of Research Mr Peter Sondergaard said “Data is inherently dumb. It doesn’t actually do anything unless you know how to use it; how to act with it.” He added that the Algorithm is where the real values lie. Algorithm defines an action. The dynamic algorithm is the core of new customer interactions.

Use data depending on the interest of the user.

Businesses can use records on the population of an area to determine where to locate their business or what business they can start. For instance, with the right statistic, one cannot open up a mall where they population is low which cannot keep the mall business thriving.

For instance, in statistical information indicating that during the festive seasons there is a high rate of road accidents on highways. Different organisations can use this information. The Red-cross can use this information to prepare for a disaster response team along the high ways.

The National Transport Authorities can use the information to come up with policies on road safety like on speed limits and times of travel. The road users can use this information to use alternative means of transportation to reach their destinations.

You need to know the basics. Start reading, attending the free online classes, seminars, webinars, read blogs. Begin to understand what is machine learning, and AI is all about. Don’t be afraid; spend a few minutes a day to understand the concepts.

E-commerce Solutions for a Checkout Page That Converts

Why do so many shoppers leave right before finishing their buying? While some were ‘just browsing,’ the most likely scenario is that the checkout experience was poor. Slow load times, tedious information entry, and limited payment options are all enough to make a customer think twice.

The checkout page optimization is a frequently ignored area for retailers looking for routes to improve online revenue. Instead, many online business owners spent their time on perfecting website. Like, creating beautiful designs, site experiences and merchandising product to push customers down a purchase funnel.

There are many ways to increase consumer trust with your product at the checkout page. Further, there are multiple ways to reduce abandoned carts on the product page, in the shopping cart, and at checkout.

Keep reading to discover winning strategies to optimize your e-commerce checkout experience.


  1. Design for simplicity

Once your buyer is on the checkout page, the sole focus should be on completing the order. With the cart and basket pages, the key is to keep things as simple as possible. Remove unnecessary clutter and make checkout page very obvious and clear.


  1. Reward Customer Registrations but don’t demand them

Some e-commerce checkout pages allow clients to create an account during their first checkout. This effectively cuts their effort in half. If you want them to sign up, try sweetening the deal. Giving customers a registration incentive such as 15% off their first purchase is a good exchange for their effort.


  1. Make the customer feel safe and secure

Make your consumers feel like security is something you take seriously. Users start to think about safety when they reach the most sensitive parts of a webpage.  You should have an SSL certificate and make sure customers know it. Your privacy policy, terms, and conditions page should also have your protection policies spelt out in full.


  1. Offer multiple payment options

In addition to the standard credit cards like Visa, MasterCard, American Express, we advise offering at least one other payment option. Some customers only prefer one payment method over another, while others like to feel free to choose how they pay.

Offer various payment options such as PayPal, Google Wallet, or any one of the hundreds of other options out there.


  1. Help them to solve errors

When a customer finds some errors during checkout, the error message should not be generic. Instead, it should give a short explanation of how to solve the specific issue. This will reduce customer frustration and keep them moving along with their checkout journey.


  1. Confirm the order summary

A simple order summary page is an easy method to confirm the details of your consumer’s order and give them a last chance to fix any errors in their order.

Include the product image, name, price, and quantity, as well as billing information and shipping information. This step can also reduce unnecessary calls or emails to your customer service team.



All in all, your e-commerce checkout page is the essential part of your online shopping store. You cannot win sales and grow your market if you cannot get customers to convert.

Trust is the most important in any business activity. Every small error or disturbance can create a severe impact on your bottom line. Get as much feedback and response from customers on the user experience as you can. It will help you to identify every possible area to reduce friction and optimize your checkout page.

If you make e-commerce checkout page optimization a priority, it won’t be long until you see a loss in the number of abandoned carts.