Google searches for “DevOps” has grown more than four times in the last half a decade!

DevOps has been enjoying increasing popularity as an approach to software development, management, and release. The acceptance of DevOps has doubled in between the years 2017 and 2018, speaking volumes about how popular and wide the reach and adoption has been.

Not just this, Google searches for “DevOps” has grown more than four times in the last half a decade. It is crucial to note that the whole prospect of DevOps is not limited to a single tool or process, which is why it is different in the context of differing businesses.

With more and more companies beginning to research and implement DevOps, there has been an increase in focus for the software and the tools required to execute some pretty complex DevOps processes.

For this, there are quite a lot of options which offer a range of benefits, be it the reduction in manual activities to limit the errors or getting the timeframes of software delivery to speed up while improving the visibility too.

Taking a final call on which software is the best for your business needs you to have a closer look on the types of software available in the market, and how well they mingle with your business requirements.

There are a few significant kinds and categories of DevOps software which you can choose from, and they include:

• A functionality based software is having a small amount of highly- specialized attributes, like a source control management system, test tools or an artifact repository.
• Some stage-based software that includes building software, deployment software and release software as well.
• An open source and commercial software.
• Various enterprise- grade DevOps platforms.

Factors to consider while making the right choice

It is evident that if things were working as per schedule in your business, you would not have felt the need to switch over to DevOps or look around for new kind of tools.

However, because the results have not been favorable at your end, your first step should be to identify the key issues you are facing presently, and what are you looking to achieve by bringing in DevOps into your business.

The problems you have and the overall business objective for your business will give you the best direction you need to take for choosing the right kind of DevOps software. If there have been errors in the development stages, you will get a lot of help from the software which focuses on automation and testing.

This type of software will help to reduce the manual tasks, which in turn will restrict the potential for human errors.

If you are concerned with outages, you will be best helped by the software which provides a lot of support for containers which put the errors into isolation, keeping the rest of the system in an entire working condition.

Here are a few types of software which can provide the perfect help with usual problems which a business experiences-

• If the concern is a lengthy software delivery procedure, tools which encourage continuous integration and consistent delivery will offer the perfect solution.
• If the processes in your business take up a lot of time, involve a lot of manual work, and are repeatable, you are in definite need of automation software.
• If a lot of times, you face difficulties in diagnosing the exact problem areas, not to mention the trouble in rightly pointing at outage causes, your business requires tools of pipeline management and visibility.
• If the releases are complicated, not to mention the problems in orchestrating these releases, you require practical release management tools for your business.

Several companies come to experience these problems separately or even simultaneously. If you face a similar situation, you should consider looking for a DevOps software which effectively encompasses different tools to solve multiple issues.

Because they help you provide a foundation on which you can build the procedures and tools, DevOps are great platforms. They help in addressing multiple issues along with a reduction in the tool sprawl and also in the costing to purchase several solutions as well.

Improvements in the process stage

A considerable number of DevOps tools get positioned in a way such that they can be of help for a specific stage in the delivery cycle. This stage has three critical focal points of building, deploying and releasing. You can filter out the kind of software you require by monitoring a step where your IT team needs to cover the most significant ground.

For the problems which cut through the development cycle, a good DevOps platform will be your best bet. When there are multiple problems in crucial areas, the DevOps platforms extend across various stages of the software delivery cycle, helping with the improvement to integrate every step in a more concise delivery pipeline.

You should also be aware that a DevOps platform is not going to take care of all your requirements on its own. Writing and creating code and its further testing may lead to the need for separate tools. And this is just an instance.

It is also usual for a lot of IT companies to already have their favorite tools to use despite selecting any new DevOps platform.

If such a case is present with you, make sure you have a platform which also includes integrations so that you can keep using the tools which your team is accustomed.

But..there’s a Catch!

For any DevOps software which you choose, always keep in mind that the software does not create significant processes. DevOps is a structure with the responsibility to bring your teams together to develop a more compact and cost-effective procedure which can improve the software development and delivery.

DevOps software is helpful to solve problems under these processes, making them more efficient so that your team can accomplish much more. For this though, you need to choose software which can make DevOps supportive for you and make it all a reality for your business.

If you are looking for customized DevOps software for your business, we are at your service. Drop your details here(Link to contact us page) and we will get back to you shortly.

If you are looking for proven DevOps consulting service providers, then send us a short message with your requirements and we will take care of the rest.

How to implement microlearning in employee training to drive significant business results?

As per the 2017 Workplace Learning Report, 27% of the companies increased the budget for talent development. Learning initiatives like this have a major impact on business growth, given that human resource is the major asset that any organization can count upon.

In this blog post, we would like to cast the focus on how to implement microlearning in employee training to drive significant business results. Before that, let’s first understand what is microlearning, to begin with.

Is Microlearning worth investing time in?

Microlearning is a popular training method in terms of Staff Augmentation, which is known to crack its way through the busy work schedules of the learners and provide effective results. In a microlearning program, small nuggets of information which carries the essence of the underlying topic are delivered to the user for quick and effective learning in a short period of time, usually 2-5 minutes.

On average, a modern learner is estimated to have only 1% of the work week available to dedicate to training and development programs. This necessitates the learning programs to be crisp and effective.

Microlearning serves as the major knowledge spread technique with major benefits like:

• An improved knowledge retention rate
• Reduced costs of learning
• Compatibility with Mobile Learning

Surprise! You can make it More Fun.

This is a widespread misconception that microlearning can only be in video clips form. Though videos are a great way to deliver information, there are other ways of microlearning which are known to be effective:

• Gamified activities
• Short Articles
• Interactive modules
• Infographics

5 Crisp yet Effective Ways to Implement Microlearning Into Your Employee Training

1. Set Training Goals

Before designing an effective training course for your employees, analyze the objective of the training program. Outline and answer a few basic questions to set the direction of your training program.

• What problems do you intend to solve with this training program?
• Which behaviors do you want to address specifically?
• How do you desire to track results?

Microlearning can be directed in any direction that you want. It might be used for quick questions that employees might have, for continuing educational modules, and for tips and tricks for success.

2. Design a Comprehensive and Cohesive Course

Once the goals for the course is decided, take a head-start to design a course which incorporates all the learning objectives. The lessons should not be fragmented or have cliffhangers. Every piece of content should deliver a complete understanding of the underlying topic.

3. Encourage Continual Use of the Course

An effective microlearning program is one which is implemented continuously and improves knowledge retention. Learners should be given access to these informational training courses any time to advance their long-term memory, and instantly find an answer if they can’t recollect it.

P.S. Few tricks to improve the impact of your microlearning program:

• Spaced Repetition: Make the learners practice a new topic over increasingly long intervals. This will deepen their memory.
• Retrieval Practice: In this practice, memory is strengthened by using questions to recollect information.
• Confidence-based assessment: This involves comparing what you think you know vs. what you actually know to improve memory and enhance self-awareness.

4. Make Microlearning Content Easily Accessible

In contemporary scenarios, the work schedules run tight and thus there is a requirement of a training course that can fit in day-to-day workflow. An easy way to make this happen is to pair microlearning courses with mobile learning which can allow learners to access and complete training courses anytime.
A great Learning Management System can help you a lot to achieve the all-time accessibility of the training programs. With an LMS in the system, you can streamline the training process and help the learners easily access the microlearning content.

5. Evaluate Results Periodically

It is essential to track results periodically to get an understanding of the effectiveness of the implemented training program. This will allow you to track the strong areas of your training program and pinpoint the difficulty areas with which you can continuously optimize the training program.
Again for effective tracking of the results, a robust learning management system has a role to play. With the analytics and insights provided by the LMS, you can easily understand the flaws and effectiveness of a training program and tweak it for betterment.

To Sum it up

Microlearning is the best fit for all your business training needs, the only underlying condition is, it should be optimized for relevancy.  Crisp targeted nuggets of information can bring monetary results in the times to come as they contribute directly to the business growth. Are you thinking of getting a Learning Management System (LMS) for your organization? Let us help you!

Drop your details here and we will get back to you shortly.

India’s most anticipated events of 2019 — General Elections of Lok Sabha is right here.

From political campaigning to social good, AI seems to have been actively used for data prediction & accuracy. On the other hand, New Zealand which will be hosting the election for Prime Minister in the year 2020. For this very election, Sam is the frontrunner. He has the right amount of knowledge on education, policy, and immigration and answers all related questions with ease. Sam also is pretty active on social media and responds to messages very quickly. When it comes to being compared with the other politicians; however, there is one huge difference- Sam is an AI-powered politician.

Sam is the world’s first Artificial Intelligence (AI) enabled politician developed by Nick Gerritsen, an entrepreneur driven by the motive to have a politician who is unbiased and does not create an opinion based on emotions, gender and culture.

This is just one of the many instances where AI is playing an increasingly crucial role in politics all over the globe. Political campaigns have been taking the help of AI for quite a long time now.

ARTIFICIAL INTELLIGENCE AND POLITICS

The most significant advantage of AI in politics can is its ability where it can accurately predict the future. Political campaigns make the use of machine learning, social media bots and even big data to influence the voters and make them vote for their political party.
Apart from just wins and losses on the political front, AI presents with more obvious implications in decisions and policy making. Reports claim that deep learning, an essential aspect of AI, can look after issues that relate to executing the schemes laid down by the government.

The technologies that use AI for social good are also on the rise since some time now. This is why the arrival of AI politicians is not very surprising. As to how big data and deep learning help it all out, we will be discussing it further below.

BIG DATA AND VOTER’S PSYCHOLOGY

With such a flurry of content on all social media platforms, it is understandable to get confused in determining which political leader is going to have the best interests of the nation at heart. You will be surprised to know that the leaders know how you think and also what you expect from them. Elections have a lot to do with psychology other than just indulging in political games.
While going through the Internet or mobile apps, you must have noticed that there is a pattern to the kind of videos which pop on your window. Some of these pop-ups are also related to the elections and candidates located within your vicinity. This pattern is backed up by reason.

The Lok Sabha election of 2019 may or may not play a decisive role in creating a bright future of India, but it is a witness to the fact that the use of technology is driving the people to act in a certain kind of way. It essentially is India’s big data election which is underway through several algorithms, analytics, and obviously, Artificial Intelligence.

Though they are not exactly visible in the election, they are more of the channels which are always present when it comes to tracing the online actions of voters, political messaging, customizing the campaigns and create advertisements targeted at the voters.

The Congress political party has provided all its candidates with a data docket which can track on-ground activities by their Ghar Ghar Congress app. The data dockets have information regarding households, missing voters, new voters, and even the local issues which plague the concerned constituency.

At the other end, the BJP looks far ahead in its quest to appeal the citizens to keep their party in power for another tenure. In states of the North, the party is a host to more than 25,000 WhatsApp groups. Ironically though, by the time Congress thought to compete with it, WhatsApp changed their policies, leaving the Opposition out to dry.

The optimal use of neural-network techniques, more often referred to as deep learning allows the political parties to have an unbeatable ability and have a fact-based study as to how such kind of data.

We at GoodWorkLabs are enthusiastic about creating such offbeat solutions using our expertise in AI, ML, Big Data, RPA. If you’ve any requirement which is this interesting & complex in nature, drop us a line and let us help you with a robust solution.

Cloud computing to store and manage the Big Data

Technology is the marvel of human innovation. It keeps evolving at a rapid pace with the sole aim of simplifying human life. The recent years have been the most remarkable in the history of technology. New innovations have been replacing the old tech and the industry has been in an ever-adapting mode.

Constant up gradation is the only way one can survive and thrive in this competitive Digital Age, especially when one is in charge of running an enterprise. Any organization, big or small deals with a bulk load of data regularly. The popular term used to denote massive volumes of data in an enterprise is Big Data. Now, there was a time when local servers were used to store the data and run it, but that changed with the introduction of Cloud computing.

In simple terms, Cloud computing allows organizations to manage their data in a more cost-effective and efficient manner. This has led many to move on to the Cloud, and it is quite the trend in the tech world.
With more organizations adapting to and adopting cloud services and tools, experts are of the view that very soon Cloud computing will replace the traditional enterprise application platforms. But before we delve any further let’s brush up on the basics of cloud technology and the ones related to it.

Cloud Computing and Big Data

Cloud computing can be defined as a technology that stores, manages and processes bulk load of data on remote servers. There is no use of physical drives or local servers.
Big Data, on the other hand, is the massive volume of structured and unstructured data processed and managed by an organization for further analysis. The smooth running of any organization depends on the successful storing and processing of the data, as it is directly related to the core functions.

Why Do You Need To SwitchOver To Cloud Computing?

Using Cloud computing to store and manage the Big Data comes with its own set of advantages. With the collating, quantifying and processing of the data well taken care of, managing the business becomes easier. Here are a few advantages that you get to enjoy through Cloud computing:

• Cost-Effective: The key benefit of Cloud computing is that it helps in cost-cutting. There is no need to spend money on building and maintenance of infrastructure for managing Big Data. The cloud space needs to be bought from service providers or vendors. So, all data related maintenance, back-ups, disaster management is taken care of. It gives you ample time to focus on the core business and saves your money that otherwise would have been spent on skills and resources.

• Flexibility: Cloud computing gives you sufficient room to adjust and adapt to fulfill your purpose in case it changes with time. It helps you to utilize your resources in the right manner. You can optimize your resources as per your need.

• Accessibility: Unlike the old methods, Cloud technology allows you to access the Big Data from any place at any time from any device. It definitely improves operations and data analytics.

• Integration: Integration is another contributing side of cloud computing. Assimilation of new data sources and managing huge volumes of data becomes very easy. There is no shortage of storage which comes as a boon when you want to keep up with the increase in Big Data.

Anyone Can Achieve Big Data Analytics through Cloud Computing

Setting up and maintaining an on-premise Big Data infrastructure demands skilled resources and a significant amount of money. This becomes an issue for small or mid-level businesses as they don’t have the financial strength to afford that. But with cloud computing, anyone can enjoy the benefits of Big Data infrastructure without having to build or maintain themselves.
Availing cloud technology allows them to pay for the resources that they need at that time. As soon as the purpose is fulfilled you can drop the extra load just like that. Everything happens quicker when you are working in the cloud. Even the expansion of data platforms takes significantly less time.

The Shortcomings of Cloud Computing

The ones who have already spent a big chunk of the finances in building their own Big Data infrastructure might face some difficulty in transferring the data to the cloud. For many, it becomes too difficult to carry the burden of the extra cost.
In other cases, the people taking care of the already existing infrastructure, express displeasure while handing over the duties to the third party service provider. In that case, the heads of the organization need to convey the long term benefits of cloud computing to the employees.
Other concerns related to administration and data security are also deterrent factors that prevent organizations from shifting to cloud technology. However, that should be the least of the concerns for anyone as the majority of the cloud vendors provide cloud platforms that endure total security to data and other company information.

Cloud Computing and Data Analytics

With time there is a high chance that a company will experience a hike in the volume of data. If the infrastructure is not able to match up to the data demand then the analytics takes a direct hit. It causes the performance to falter due to the slowing down of analytics tools. That’s why it is very important that you transfer the analytics to the cloud along with the Big Data.
Building the Big Data analytics platform in the cloud allows the organization to leverage the stored cloud data for analytics. This process enables faster accessibility of the Big Data. That way the user can make use of it easily during the time of need.

Conclusion

After considering both the advantages and shortcomings of cloud computing, it cannot be denied that positive does outweigh the negatives. The trend of shifting data to the cloud will gradually make all the older methods go obsolete. The benefits of cloud computing are hard to ignore and the evidence is clear in its rising popularity. One can very well say that Cloud computing is the future of enterprise application platforms.

The Power of Persuasion Using Social Media.

None of us are unknown to the fact that in current times, Social media has taken over any other marketing tool and has become the most imperative medium of reaching out to the audience. While the true power of social media is Influence, it not only creates an avenue for companies to engage with the audience but also to influence them in various ways possible.

Watch this excellent panel discussion at Nasscom SME Conclave on ‘The Power of Persuasion Using Social Media: Negotiating, Influencing and Winning in the Market.’

Our CEO, Vishwas Mudagal spoke alongside an awesome panel– Virginia Sharma, Head of Marketing at LinkedIn, Vargab Bakshi, Head of Sales at Shopify, Kaushik Majumdar, MD of Principal India.

Must watch to understand how to use social media as a tool to enhance your brand and grow your business/career. Also, use it as a strategic weapon to move ahead of your competition.

PS: Let us know your thoughts and share your other inputs on how to put Social Media to the best use.

Artificial Intelligence to diagnose Alzheimer’s disease.

Alzheimer’s disease. The diagnosis and treatment. Artificial Intelligence. The first two phrases are directly associated with each other. Artificial Intelligence or AI, however, is closing the gap of difference pretty quickly to emerge as the technology that can detect Alzheimer’s well before its diagnosis.

Before we delve into how AI is helping out, it is essential to first know about this disease itself.  We will help you do just that.

UNDERSTANDING ALZHEIMER’S

Alzheimer’s is a dominant reason for the occurrence of dementia, which is a layman term for memory loss and various other cognitive issues severe enough to hinder a routine life. The disease is not a standard parcel that comes with aging but has a high risk of developing at an old age. A considerable part of people with Alzheimer’s belongs to a very young age group too.

The fact that Alzheimer’s is a progressive disease that does not make matters easier. The dementia symptoms gradually take a turn for the worse with time. Initially, the memory loss is pretty mild, but as more time passes, people even lose the ability to have a simple conversation and react to their surroundings.

Currently, the disease has no cure. The present treatments can only help in slowing down the progress of Alzheimer’s, but it is only temporary as the situation worsens over time.

The earliest symptom that an individual has Alzheimer’s is when there are problems faced to remember the recently learned information. It is because the disease initially affects that part of the brain which governs learning. As it grows, the symptoms become more severe like disorientation, mood swings, increasing confusion about time and events, and trouble in talking too.

Alzheimer’s disease is a focal point in today’s biomedical research. The researchers are making constant efforts to detect as many facets of Alzheimer’s and other types of dementia as possible. The most fantastic progress has provided information as to how it affects the brain cells.

ARTIFICIAL INTELLIGENCE AND ALZHEIMER’S

Some recent studies have conclusively demonstrated how AI can lead to an improvement in brain imaging to predict the earliest stages of Alzheimer’s disease. According to them, AI will be able to detect the disease in patients about six years before a confirmed diagnosis comes to the fore. It will lead to incorporating the changes in lifestyle, preparation, and methods of treatment well in advance.

Thanks to more and more innovations which help out in the early stages of Alzheimer’s, early diagnosis will mean that the patients will have more time in financially, personally and legally prepare themselves for their treatment.

With more research conducted every day, newer ways for diagnosing Alzheimer’s and dementia forms are getting tested. From brain imaging to blood tests, the hunt to find some of the most affordable ways to diagnose is on- much before even the symptoms start to show.

By the use of a usual form of brain scan, researchers were able to programme a machine learning algorithm for diagnosing early stages of Alzheimer’s as much as six years in advance before a clinical diagnosis, which will give the doctors a possible chance, to begin with, the treatment.

While no permanent cure for Alzheimer’s disease is available quite yet, some promising drugs have come into existence since the past few years which can help to stem the progress of this condition. These treatments, however, need to be administered early in the course of the disease to do some good. The race against the flow of time has motivated scientists to search for ways to help diagnose this condition much earlier.

Positron emission tomography (PET) scans, which can measure the level of particular molecules like glucose in a brain, have been analyzed as a useful tool for diagnosing Alzheimer’s disease even before the symptoms tend to get severe. And, this is a revolution in Healthcare Industry.

Glucose is like a driving fuel for the brain cells, and the more active a brain is, the more glucose gets used up. As these brain cells die out, they use less and finally, no glucose at all. Other kinds of PET scans look out for proteins that are mainly related to Alzheimer’s disease, but the glucose PET scans are cheaper and more common. This is mostly true for smaller health care facilities and also developing countries, as they also help for the process of cancer staging.

Radiologists have used the PET scans to try and detect Alzheimer’s disease by having a look at the glucose levels through the brain, particularly in the areas of frontal and parietal lobes of the brain. But because it is slow and progressive, the changes in glucose level are pretty subtle, making it difficult to spot with a naked eye.

To sort out this issue, the machine learning algorithm was applied to the PET scans to help with the diagnosis of early-stage Alzheimer’s disease with more accuracy.

For training the algorithm, images from Alzheimer’s Disease Neuroimaging Initiative (ADNI) served as the input. ADNI is a substantial public dataset of numerous PET scans from the patients who were diagnosed either with Alzheimer’s, a mild cognitive problem or no kind of disorder.

After a point of time, the algorithm started to learn on its own about the features which were considered necessary for prediction of the diagnosis of Alzheimer’s and which were not.

Once the algorithm became trained on a vast number of scans, the scientists tested in on two kinds of datasets for an evaluation of its performance. It passed the assessment very successfully, with an estimated 92% of patients who had developed Alzheimer’s identified correctly.

At such impressive statistics, this algorithm has a lot of potential to be clinically relevant. If it can perform well in such kind of tests, the algorithm can then be of use when a neurosurgeon looks at a patient in a clinic as a diagnostic and predictive tool for Alzheimer’s, proving very integral to get the patients a treatment which they require much sooner.

**We at GoodWorkLabs help Healthcare Companies develop essential Apps, Web, and Software Solutions using AI!

Want help in building a technology for your healthcare business needs? Work with GoodWorkLabs who understand and have expertise in this space. Contact us to get a free quote for your project.

Machines will take over our lives & How…

Electricity was one of the most incredible inventions of human after the fire, which changed human life in many ways. Now, after the electricity, Artificial Intelligence (AI) has drastically changed human lives. It is said that AI is yet to offer benefits to human. It was a prototype in the 1950s but has come up in many positive usages in recent times. What matters the most is the fact that we are getting encompassed with technology day-by-day and this is just the beginning of human’s much involvement in technology.

Everything has advantages and disadvantages, the case is no different for AI. The more we start making use of it, the more we will realize the negative impact of the AI. Just like when electricity is misused, we can even end up dying; AI is one of the most advanced things with its own set of disadvantages.

Setting aside the negativity, there is enough positive approach of the AI in the recent business set up. AI is said to decrease the workload and get the job done in one day which otherwise would have taken more than ten. Human intelligence created AI and it is expected to have a huge database that sets its own IQ. The evolution of the entire technology ecosystem has led to the free rise of the advanced and improved AI system that is bound to bring new changes in the present and future way of dealing with the business. Based on the ongoing trend, the future of AI-driven businesses will be something like this:

Digital business transformation

The megalith system that hid a lot of data is now being unleashed by the AI. It is bound to provide the best quality deals at an effective rate. The legacy of modernization has to lead to a lot of changes in the digitization process as well. AI is the next best option for us and so AI specialists are constantly finding a positive way out of it. There are chances that you will have to find a way to evolve your business with time on the lines of AI. The single work process is now shutting down. One business will have multiple users and multiple procedures based on the comfort of the people. With the onset of AI, the old process is going to break down or replaced by the new digital era.  

Tech democracy

The freedom to create a database of any size in today’s world has a bulk. The estimated creation of data can be taken into account of 2.5 quintillion bytes. Thanks to this estimate that the AI found its way. The human’s constant contact with the machines has given way to the creation of artificial intelligence that can make the lives and the work of the humans a lot easier. AI is believed to lessen the task and offer freedom to create a database and make use of everything.

Harnessing the data

With the launch of AI, the data has been easily preserved. The data that we are harnessing has its own limitations and that has always been a problem which obstructs the smooth work process. Therefore, you will have to make sure that you find a good option to make sure that at no point the work creates a problem. The AI is the next best thing that technology has gifted the world and this can be the option to harness the data in a better way.  

The future of the business

Given the capability of AI, it has the potential to impact our future. It is about to change the history of innovation and can make sure that you get the best solution when it comes to getting the work quickly and efficiently. The AI market is rapidly growing, but when it comes to helping any layman, it is still to take up that place. The change is the most constant factor for any future and given the fact that AI is about to bring the most impressive and noteworthy change in the history of technology.

AI to Science

In 2013, MD Anderson Cancer Center set forth a “moon shot” project that estimates a cost of $62 million. It was believed to diagnose cancer and offer a suggestion of treatment. However, the project has stopped because of the exceeding budget, but it is still being worked on. We can say that it is not only the business that AI is about to touch but it is sure to awe human lives in every way possible. We will have to wait for the AI to come into the real being and how it will affect our lives. There are many trial and error methods that are in the picture, but we are yet to find the real usefulness of the AI.

The invention of computers, telephones, and mobiles has globalized the world, but to keep up with the pace of technological updates, AI is the gift that the masters have given. It is about to provide new wide scopes to the future of the business and it is always better to stay updated with the new things to know about the changes that we are going to see in the recent future.

There are always a set of doubts, bias, and worries that come with the AI, it is going to support the basic information. But making it adaptable to the environment matters the most. It is true that it is “Artificial” after all. There will be drawbacks and biases towards the creator. Therefore, AI might take a lot of time to come into the picture but the bell is already ringing.

AI is one of the best sources to create a stronger bond between human and machine. We will have to simply wait and what the result is and how the machine will take over our lives. It is important to make sure that machines do not take over us and that we have control over it. The AI for the future business is a prototype and can promise to offer the best quality result when it comes into practical usage.

To know more about how AI can help your business, reach out to us:

Dating apps are increasingly taking the help of AI!

It is apparent that you will have used a dating app at least once, even if you never dared to admit it openly in your social circle. The premise of most dating apps is the same; take a look at the picture visible with a little information and then decide to take a swipe left or right. These swipes determine your rejection or interest to the profile of a particular person respectively.

During development stages, these dating apps were a little cluttered and confusing to move through. Today, however, you can just bid a farewell to hours of mindless swiping through numerous profiles. Thanks to Artificial Intelligence.

Dating apps are increasingly taking the help of AI to help users suggest places to go for a first date, indicating the initial remarks that can be said to the person at the other end. To make the matter all the more intriguing, these apps even assist you in finding a partner who resembles your favorite celebrity.

Until very recently, smartphone dating apps like Tinder left the task of asking someone out and making a date go well to people who were using the app. Gradually, this led to fatigue in the users who had to keep searching through a lot of profiles without too much success.

This is why the online dating sector turned over to take the help of Artificial Intelligence and get people to arrange dates in their real lives, acting more like a dating coach of sorts.

These newly found utilities of Artificial Intelligence, where the computers are programmed to develop human processes like thinking or decision-making have been highlighted time and again, signifying its importance.

Uses of Artificial Intelligence for Dating Apps

If anything, dating websites and applications have established themselves as the new benchmarks when it boils down to getting the first date for yourself. This is why as we mentioned above, many websites and app owners are trying to use something different on the lines of AI to ensure and provide the users with a fantastic overall experience.

Here we look at how AI is improving the dating lives of users along with the user experience of a dating app or website as a whole-

1. Help find better matches

Being the most obvious use, of course, AI for dating apps helps to improve the matching of people with their potential dates. There are two pretty remarkable methods through which this is happening. The dating app Hinge has recently been observed testing a feature which they call Most Compatible that takes the help of machine learning in finding better matches.

The feature monitors how people behave on the app. This behavior involves the kind of content a user has previously liked. The function aspires to serve as a matchmaker to find you, people, with whom you matched with on the platform prior.

The dating sites presently are as good as the data they have. Keeping that in mind, the dating sites are increasingly making use of technology and suitable data to filter out the matches for their users. There are many cues like emotion in communication, revert times and the size of profiles too.

2. Keeps things in moderation

Keeping things moderate on dating apps is very important for two essential reasons. It is evident that you wish that people have an overall positive user experience. If people have to continuously swipe with the fear of accidentally getting a fake account, they will ultimately switch over to some other app.

Moderation has also become essential to protect the app company itself. Many authorities are taking down any web platform which is not severe for sex trafficking and related crimes.

This has left with moderation not being an option anymore for brands, effectively going them with two options- manual moderation or automation enabled by computer vision (CV) moderation. Only one method out of the two helps a dating app scale and moderate more content at lower costs, and that method is computer vision.

3. Prevents security concerns

For any user of dating apps, security is one of the prime concerns. One negative experience is more than enough to turn people away from a specific app permanently. It is essential that dating apps take this very seriously and invest in measures to make their platforms secure to the maximum possible extent.

Getting every individual with enough help for a date is going to be impossible, and this is why companies will have to depend on AI to take care of this issue. An app called Hily gives the users a “risk score” that provides a user with passing ID verification, past complaints, the extent of conversation with other users and time spent on the app.

An individual with a high-risk score can be blocked on the app by the other users from sending their private information to the particular profile. The app can also detect when a photo has been tampered and then blocks such users too.

4. Provides great & useful user content

The final use of dating apps for the dating scene in 2019. Many factors make a dating app interactive and user-friendly where they can move to have a good time. Selfie images and information related to the profile of an individual are part of the content which is available on such apps.

AI can be used to provide better advice to users as to what they could do to improve their dating profile and visibility. For instance, online dating coach Greg Schwartz used face recognition model Clarifai to create an app which could recognize the standard errors that people tend to make in the photos they use on certain dating apps like using the images of fancy cars and bikes to get an impressive looking profile.

While not everyone has the same opinion that Artificial Intelligence is going to help them out in finding the love of their lives, the trend is currently on the rise, and it will be fascinating to see how things further unfold within this year.  

To know more about how AI can help your business, reach out to us:

GoodWorkLabs at ad:tech event 2019

During ad:tech New Delhi 2019, GoodWorkLabs CEO, Vishwas Mudagal shares his interestingly compelling thoughts on the topic: “Hacking into the consumer’s brain: How brands can hit the cultural zeitgeist with Super Heroes reimagined in India.”

Very much like the topic itself, Vishwas’s delivery of speech during this event was both amusing & intriguing at the same time! The way Vishwas successfully developed a connection between Indian consumers & Indian superheroes was truly captivating and surely provoked some new marketing techniques to be practiced in the Indian market.

Here’s a snippet of Vishwas Mudagal’s speech at the event:

If there is one thing we share across the world, it is our love for superheroes. They represent the best in us and we take pride in them. Indian consumers have been hungry for content around Indian Superheroes for decades now but have been devoid. With the influx of Hollywood superheroes, there is surely a gap in the market which content creators & agencies can fill by telling compelling stories of Indian Superheroes.

The opportunity becomes even bigger for brands to associate with an audience by combining moral & cultural identities of an Indian superhero with brand stories that will resonate powerfully with the target consumer. Think Parle G & Chota Bheem!

But how? Where do you find Indian superheroes? Vishwas Mudagal, serial entrepreneur and best-selling author, has created a true Indian superhero in his latest book – The Last Avatar, Age of Kalki Trilogy. With roots set deep in our Indian mythology and culture, Kalki is a new-age superhero who is here to herald a new era of high-quality content that consumers want.

Stay tuned until we share the video of Vishwas’s speaker session at ad:tech New Delhi 2019, to understand how the Indian superhero has transitioned from Chacha Chaudhary & Sabu to Shaktiman to Bahubali to now Kalki, and how brands can use these identities to create powerful marketing ideas.

How to become a successful CEO

Vishwas Mudagal is a globally renowned CEO, Serial Entrepreneur, Bestselling Author and an Angel Investor with a history of building innovative brands and sustainable companies. Vishwas has always been a youth icon influencing millions of lives. Having spoken at numerous corporate events, college fests, conventions and literary festivals across India and the world, including popular TEDx talks, he is currently one of the most popular inspirational and motivational speakers in India.

This time he took the crowd by storm by sharing “The Secret Mantras to become a Superstar CEO” at Nasscom SME mega-event NISC 2019. From his own learnings & experiences, he has successfully come up with the 7 golden formulas to achieve success for businesses and professionals in today’s world and the future ahead.

1.) Sales should be in your DNA: No matter how much you grow as a business, The CEO should never let the Sales edge in him tarnish at any point in time. Vishwas Mudagal- CEO, GoodWorkLabs is an active member of the sales team till date & that truly is an inspiration!

2.) User Empathy: Focus on customer pain points & think of an out of the box idea to resolve their issues. There’s a real-life experience that Vishwas spoke about. click to know more.

3.) Always focus on building relationships than on mere transactions: Believe in growing with the customer’s success while working together for a longer term instead of focusing on short term transactions. At GoodWorkLabs, we live by this thumb rule and there’s one very interesting example quoted by Vishwas in this video.

4.) Become an influencer: Put out great content that is relevant for your audience on social media and web. This kind of marketing is the most critical. When people start following you, they start trusting you and that helps immensely while building your sales strategy.

5.) Networking: Now this is an integral part of any business. In Vishwas Mudagal’s opinion Networking is an investment which sooner or later entitles you to reap its benefits, and he has shared a jaw-dropping experience of how he bagged a 1million dollar deal for GoodWorkLabs, through Networking.

6.) Focus on hiring the right resource: As a company starts growing & expanding in terms of team size, most CEOs don’t prefer to spend time on hiring anymore and that’s a big problem. Vishwas rightly identifies this as a major roadblock in terms of growing as a company and to build the right team & hence he’s always actively involved in the company’s recruitment process to hire the right kind of problem solvers &passionate people for GoodWorkLabs.

7.) Question the status quo in whatever you do: A very interesting story- “The elephant and rope” shared by Vishwas Mudagal to explain how each one of us in the industry is trapped by various mythical chains of pre-set conventional methods of limiting ourselves in terms of exploring & experimenting with something new and how we need to break free from these chains to bring a phenomenal change in our industry & this world.

Vishwas is also a highly followed Influencer on social media for all the right reasons. And this video is a  Must-watch for everyone who wants to succeed!