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Responsible AI: Is the digital front door safe and ethical to open?

Artificial intelligence or AI is on the see-saw of merits, and demerits. While some people only see its advantages and consider AI a miracle for the modern world, some say it is equally destructible. Though the idea is under the scrutiny of tech giants as well as regular people, there is no one who doesn’t agree with the fact that AI is here for the benefit of the human race! Be it its applications in the industries like logistics, education, and healthcare, or maybe its negative impacts of reducing the working human force in front end as well as back end industries, AI never fails to deliver what it promises. But Responsible AI is the way to go!


“There will be abuses of power that involve AI, just as there will be advances in science, and humanitarian efforts that also involve AI. Unfortunately, there are certain trend lines that are likely to create massive instability.”                                                                                                                                                                                                           ~Danah Boyd 

Principal researcher for Microsoft, and  

President of the data & society research institute

AI, and Ethical issues responsibility! 

No wonder, AI is bringing a catastrophic revolution in everything. From our everyday lives to professional industries where loads of data travel miles every second, AI is doing its part. But, the concern is, is it under ethical norms to amalgamate AI in everything, and practically anything? 


Where’s the problem? 

If someone asks you what is the best thing about AI, your answer will probably be “Automation”. And, that’s what its threat is as well! Advanced automation, making everything happen on its own” is one of the biggest threats of AI. 


Be it managing the logistics chain, predicting customer decisions, and automating processes like parking a car, letting you enter the critical data online, AI’s automation can be critical. Not only this, the way it leads our lives while keeping everything a shareable thing like where we go? Where do we eat? What are we gonna buy?, or what do we think about (sometimes)?AI is no less than a chip in our lives. 

But, what is the solution: Responsible AI

Believe it or not! If the implementation of AI has ethical issues. Responsible AI is the solution as well! 


As AI is a computer program able to achieve unprecedented success, it is also a program that can be coded to handle security, ethical, and safety issues. It is believed that if a well-managed, and end-to-end encrypted program is developed that can check the security, and ethical breaches for other AI programs, the loophole of AI going out of control can be curbed! 


Not only this, but it is also in the mind of research scientists how one can control AI under mentioned ethical guidelines by overlapping another AI-coded program over the existing one. This can burn down all the concerns of AI going out of hand! 

It’s a long road down!

So far, we’ve discussed how AI is the solution to problems or ethical concerns AI! But, when will we have this stability? 


It is often felt that managing AI is a long road down, and is not an overnight drill. As overdoing AI can also raise critical threats, one cannot play around in lieu of managing ethical issues, but raise a security concern instead. We say the road to AI being parallel to all existing ethical issues is long, but it is achievable. Soon, we’ll have programs designed to control other AI programs, and take onus for whatever AI executes, or revolutionizes. 

AI Healthcare

Conversational AI(TINA) for Healthcare: Retransforming with the intelligent AI

It was not much before when COVID hit the world and made everyone realize the importance of stable healthcare services. Though the advancements in the field of healthcare were already in process, COVID highlighted the need. And, since then the use of Conversational AI in healthcare has been on the road. 


One such AI principle being extensively leveraged in healthcare is Conversational AI! 


Conversational AI in healthcare

Believe it or not, conversational AI sets new applications in healthcare. Today, the rapid resolutions, service, and finding help online in minutes is the new “but-obvious” achievement. But, the healthcare sector struggles here! And, for that, it is now believed that conversational AI can help resolve the challenges, and retransform how healthcare used to operate! Let’s deal with both aspects in detail! 


Healthcare, and its challenges! 

Healthcare is the sector that operates with continuous risk and scrutiny! A new treatment technique comes up? An advanced diagnostic method? Or even a new online software? Everything in healthcare is seen through a lens of criticism. And, why should it not be? It would directly affect human lives! That’s where transforming healthcare becomes a challenge. 


But, recently, when the times took a 360 degrees turn and made everything available online a necessity, Healthcare also dug up, and found its solution in AI, and machine learning! Though the principles such as Data Science, data handling, and record keeping are also on the road in the healthcare industry, one of the most believed AI-based principles is conversational AI! And, it is believed that it can solve some of the healthcare industry’s challenges! 


Conversational AI; a solution for Healthcare! 

Healthcare is one of the top 5 industries that get leveraged by conversational AI, and that explains how significantly it can transform this sector. But, do you know? 


How effectively, or precisely conversational AI can benefit your business depends on how efficient the solution or Chatbot is! And, that’s what needs the mention of an efficient Chatbot; TINA! 

Meet TINA! 

TINA is an AI-powered chatbot designed by the experts of Gravitas AI! It is designed on the basis of robust principles of machine learning, and NLP makes it an efficient addition to healthcare operations. Here are some of the ways in which TINA can help retransform healthcare- 

  • Bridges the gap in communication

It has been long realized that the most challenging bottleneck of the Healthcare sector is providing patient support outside of Doctors working hours. And, conversational AI solutions like TINA can handle this well! 


TINA Can handle patients’ inquiries 24*7, that too in a patient’s comfort language This happens because of the functionality of TINA to be able to chat in over 20 languages. While eliminating language barriers, TINA also ensures the right patient-doctor communication. It ensures patients get the help even outside of doctor availability hours. 

  • First-hand support: Right time, right help! 

Conversational AI can indeed help, but the end game is Doctors. And that’s where the need of connecting patients to Doctors at the right time becomes a concern. 


TINA can seamlessly connect patients to doctors at the right time. It can do this while becoming a patient’s reliable first-hand support. So, that no patient feels unattended! 

  • Analytics

In today’s time, analytics, and data are the strengths! And, that’s what TINA provides Doctors! 


Once integrated, and enabled, TINA gathers critical data. This helps healthcare facilities, or Doctors to monitor, record, and also identify patients’ pain points. Also, this gives deep dive into critical insights that help one make healthcare services better, and more patient-centric. 

  • Operations Management

As far as operation management is concerned, Healthcare facilities, and even independent doctors struggle! But, with little automation, and optimization this can be solved! 


TINA does the same! It helps you manage everything from a single dashboard. Be it lead management, or handling day-to-day operations of healthcare facilities, it manages everything from end to end. This helps keep things recorded, and well-managed. That too with complete automation, and precision! 

TINA: For your Business’ smart future with Conversational AI in Healthcare

The future of healthcare is Smart! And, it’s time that medical facilities and Doctors also embrace the “smart” technology to serve their patients better. And, TINA seems like a reliable solution! 


With advanced tech, and NLP integrated, TINA can be your one-stop solution. It can be your tireless AI teammate that can handle operations, appointments, and first-hand patient support right with ease. That too, with complete automation, and precision. If you are also from the healthcare industry, meet TINA’s creator today to understand its complete potential. Also, dig more into how integrating TINA can retransform your healthcare services! Schedule a demo with experts now! 

AI Conversational AI

Here’s why chatbots can be a magic wand for your IT business


No business is devoid of challenges and problems. Be it the one dealing in a broad niche like the food industry or the one that deals in challenging, narrow niches like retail and real estate, there are hurdles. But, as problems are omnipresent in this dynamic business era, we can also find solutions under the surface. More often than not, technology is the answer to all such problems! One such technology solution for businesses across is the “Chatbots” for IT Business! 


How can Chatbots be the solution for your business? 


Believe it or not, Chatbots or conversational AI agents can help you get rid of most of your business challenges. Chatbots can bridge the gap between you and your prospective customer, whether it is about customer satisfaction, business running costs, marketing, etc. Chatbots are effective in helping you and your business’s direct customers and mitigating any pain points for your business’s employees or team. Thus we all can agree that chatbots are a tool worth adding.


Here are some of the evidence that pronounces Chatbots as a solution for businesses- 


  • In research by Chatbots Life, it was observed that around 47% of customers buy a product from Chatbots! So, Chatbots can now drive sales and not just be used for assistance.
  • Chatbots can help you save almost 30% of customer service costs.
  • Chatbots Life estimated that by 2023, businesses would save around 2.5 billion hours in customer support and assistance. That reflects how chatbots would speed up the process of resolving customer queries. 
  • According to BI Intelligence, it is said that Chatbots save around $174 billion in industries such as Insurance, the financial sector, sales, and also customer service and support! So, thinking that chatbots are only needed in the B2C industry is dubious! 


And that’s how Chatbots show positive and progressive growth in various sectors and have been tested by many experts and business veterans. But, one of the industries that leverage Chatbots most, and can even expand its benefits to several horizons, is the IT sector! Let’s dig more! 

Chatbots and the IT sector


IT sectors, one of the most dynamic and central to technological changes, are undoubtedly leveraging Chatbots! It is leveraging it in bringing automation and precision. Some of the advantages of Chatbots in the IT sector are- 


Get your Chatbot to “Coding”

Coding has long been known as an entirely human process, but no more! Chatbots could soon be programmed to code and write working and functional computer codes. And that would not only reduce dependency on coders and developers but can also mitigate any false codes and anomalies in codes. 


IT Chatbots can also stabilize the software market as the codes would be more precise and optimum. Further, while one might think Chatbots can replace coders, this is quite distant now. But, chatbots can indeed be seen as first-hand support for developers and programmers.  


Managing Logistics

One of the significant challenges of IT is managing and optimizing logistics. Establishing a balance between transactions, tracking, discovery, routing, etc., is cumbersome and propounds many challenges for the IT sector. But that’s where chatbots lubricate the process! 


One of the most crucial advantages of IT Chatbots is that they can successfully handle leads and support tickets, and last but not least can precisely collect data about logistics. Further, the data collected provides insights worth processing and can surface critical parameters. 


“It is thereby believed that by implementing Chatbots in Logistics, one can bring almost 805 automation to ticket resolution and customer service! 


Data Stores

Cutting-edge technologies such as AI and ML are implemented to develop advanced Chatbots. It makes these conversational agents intelligent and keen on details for businesses to leverage the Chatbots in capturing and processing data! 


No matter what business sector, product, or service you serve, you would appreciate the value of data. And, chatbots being precise agents to capture and process data fills this gap. These can not only converse and serve your customer but can also capture data that can be crucial to making business improvisations and modifications. 


Chatbots: modern era helping hands


If we say, modernization has revolutionized the way business operates and interacts, Chtabors are a perfect example of modern era helping hands. Be it the challenge of maintaining several things at once, or delivering customer service and support to customers with different needs, requirements, and personas, Chatbots leave no loose ends. So, elevate automation, interact with your customers anytime, save costs, and deliver customer satisfaction. And, do all this just by investing in the right Chatbot today! 


Get your customized business Chatbot ready from the experts of Gravitas AI! Contact us today! 



Role of AI in the Ophthalmology Industry

When a deadly pandemic like corona grasped the globe, a realization of incorporating improved advanced technology in medical processes was elevated. Throughout the world, scientists are investing days and months in amalgamating technology and innovations to take the health sector to new adaptations for better human race survival.

Advancing tech like Machine learning, Artificial intelligence, Robotics is gaining gravity in the medical sector. Specialized medical fields such as cardiology, ophthalmology, hepatology are finding new ways of curing and diagnosing diseases by mustering tech and medical practices. Medical scientists look for new drugs, new diagnostic methods, easy, painless, and possible treatment methods for taking health facilities to new dimensions.

Such an example of an alliance of tech and medical principles is the role of Artificial intelligence in Ophthalmology.

Ophthalmology and artificial intelligence union

Ophthalmology is the medical field dealing with eye disorders or studies human eyes in detail. The field is continuously in research as of today’s more than usual pollution levels, ubiquitous irritants have increased the eye diseases several folds.

Artificial intelligence can work as a forefront player in the way eye doctors have been dealing with and diagnosing diseases for years. It can aid in diagnosing, treating, and even in generating drugs for eye problems as it deciphers medical complications and provides insights into the cause and stages of diseases.

AI is generating patterns for eye diseases: Deep Learning

Humans are equipped with a brain with master abilities to handle multiple and complicated tasks together. But when data of millions of people or subjects need to be assayed, we lag in accuracy and speed.

Better to leverage Artificial intelligence for data and insight learning. This is known as Deep Learning AI that can process and interpret massive amounts of data without compromising on accuracy and speed. When scientists or medical practitioners study disease for its causes, symptoms, and possible treatment methods. They generally study a set of 30, 50, or 100 patients. Generally, a number whose data can be interpreted by humans easily and rapidly.

But, by building AI-based software, we can run tests on millions of subjects to get deeper and better insights into medical conditions. This can bring new revolutions in eye treatments, drugs, and nevertheless symptoms and causes as well. These AI-driven efficient data interpretations can also make us ready for future medical conditions that may arise due to changing lifestyles, habits, and pollution.

AI in diagnosing diseases: a study of Diabetic retinopathy through AI

Human detection methods of diseases have been in action since time memorial. It’s time we turn the time’s wheel in the right direction and imbibe today’s robust techniques and technologies to diagnose diseases at an early stage. This can aid in providing forefront treatment to patients thereby mitigating the cases of severe to last stage diseases. Diseases like diabetes retinopathy, myopia, Glaucoma; the cause of irreversible blindness are some of the diseases with AI-driven diagnostic methods.

An eye condition called diabetic retinopathy, with AI-powered methods can now be diagnosed and identified at an early initiation. In DR (diabetic retinopathy), elevated incorporation of photography, image recognition, and telemedicine have improved the screening and diagnosing process.

In 2018, the first autonomous AI-powered system was approved by the FDA. The system known as the IDX-DR camera was built with specifically tested AI algorithms to identify the presence of DR in patients from fundus photographs only. The system was efficiently designed to take higher-resolution better photographs to understand the progress of the disease and confirmation of the condition.

Though the system has some flaws in starting experiments, the algorithm is continuously being updated and improved for better and better results.

Not only DR, but AI is proliferating in the studies of screening cataracts and myopia as well.

AI: a stepping ladder for future medical practices

Human diseases and viral, bacterial, or fungal outbreaks are becoming common. All these are urging the human race to face difficulties. However, optimum and propitious advances in the medical field can strengthen our preparation. The regular muster and implementations of advancing technology and techniques bring new advancements to medical facilities over the globe.

With the global rate of myopia, blindness, diabetic retinopathy increasing, ophthalmology practitioners approach different roots of technology to find solutions. AI, robotics, Deep learning are some of the promising solutions available.

But medical health specialists, doctors are irreplaceable. But a hybrid model infused with AI, data operations, and reliable and advanced medical practices seems to be a promising alternative for robust and innovative growth in medical operations.

Aarsh, COO & Co-Founder, Gravitas AI



Artificial intelligence and automation are changing the business environment across industries, by delivering new opportunities through intelligent and automated products. Some companies are in high competition while others are struggling with their adoption of the technology.

The Board members and decision-makers are aware of all the benefits of Artificial Intelligence and automation, but the question still arises: ‘Is AI right for my business? How does it solve a problem which is related to my business? With the rise of this technology into business operations, it also brings some challenges and potential risks to the human workforce. This feature of AI will examine all these aspects and hope to give you an overall look at Artificial Intelligence into your business.

Artificial intelligence is clearly a growing force in the field of technology. AI is taking centre stage at conferences and showing a potential across a wide variety of industries, which includes retail and manufacturing too. New products are being featured with virtual assistants, while the chatbots are answering all the customer queries from your online office supplier’s site to your web hosting service provider’s support page. Meanwhile, huge companies such as Google, Microsoft, and Salesforce are integrating AI as an intelligence layer across their entire technology stack. Yes, AI is definitely going to high levels.


Artificial intelligence (AI) is rapidly emerging as the most important and transformative technology of our time. AI can help accomplish many business activities with higher accuracy and at a fraction of the time, it would take humans to do the same work.

AI also offers a substitution for human judgment because it is capable of forecasting which is based on patterns in data that are undetectable by humans. These features can change what businesses and the managers do but also how they do it in profound ways.

The effects of Artificial Intelligence will only be observed in the coming decade, as industries transform their core processes and business models to take advantage of its capabilities. Rather than missing the momentum, business leaders need to understand and act on these opportunities which AI offers to their industry. They need to consider what is possible now, what will be possible tomorrow, and what other industries are doing that could translate their business to give them a competitive advantage.

AI for Business is designed to give businesses and its managers an understanding of the growing deployment of AI in business, so they can witness what it can and cannot do for their organisation.


The true promise of AI is to unleash the actionable insights that would be trapped in a huge amount of data. Much of that data is unstructured data. The data is usually generated by written reports and business documents, videos, photos, social media posts or even email messages.

Artificial intelligence technologies can automate important yet manual and time-consuming tasks, allowing employees to focus on higher-value work. AI will be used to extract new insights, transform the decision-making process and drive improved business outcomes out of it. A recent PwC report indicates that almost 72% of business decision-makers believe that AI provides a competitive edge to their business.

Artificial intelligence in businesses can be used to for-

  • Increasing competitive advantage and improve efficiency
  • Advances automated interactions with customers, partners and workers
  • Multiplying productivity gains by automating processes
  • Power smarter machinery, vehicles and structures
  • Enhancing customer intimacy and thereby increasing consumer demand
  • Improves analysis of videos and audios in real-time


Artificial Intelligence is the booster of human intelligence by machines. In simpler words, it is the method by which a machine demonstrates certain aspects of human intelligence like learning, self- correction, reasoning, etc. Since its introduction, AI has demonstrated unprecedented growth. Going by the bounds of progress AI has been making, it is very clear that AI will be present in every sphere of our life. Listed below are the various ways in which AI can change in the future.

Breaking-through science– The scope of AI in science is the largest. The possibility of AI playing a bigger role in the field of science in the future, not just merely for augmentation. Automation using AI for drug discovery is a field that is rapidly growing, mainly because machines work much faster than humans. Taking all this into consideration, AI is sure to transform science as we know it.

Cybersecurity– The future application of AI in cybersecurity will ensure in eliminating the risk of hackers. The incidence of cybercrime is an issue that has been escalating for many years. Credit card frauds are one of the most recurring cybercrimes. Despite there being detection techniques, they still prove to be ineffective in eliminating these hackers. AI can bring a remarkable change to this issue.

Face recognition– The launch of iPhone X with face recognition features was a step towards the future of AI. In the near future, iPhone users might be able to unlock their phones by looking into the front camera. Authenticating their personal content is not the only use of facial recognition. Governments and security forces also use this feature to track down the criminals and identify citizens. In the future, facial recognition tech can go beyond physical structure to emotional analysis. For example, it might become possible to detect whether a person is stressed, angry or happy.

Data analysis– One of the best ways AI will benefit businesses is in the field of Data Analysis. AI would be able to perceive patterns in data that humans cannot do. This enables businesses to target the right customers for the right product. An example of this is the partnership between Fluid and IBM. Fluid, a digital retail company uses Watson which is an AI created by IBM for better product recommendations to its customers.

Transport– Self- driving cars are already popular in the market; however, a driver is required at the wheels for safety purposes. With Google, Uber and General Motors trying to take them at the top in this market, it will not be long before driverless vehicles come into reality.


Artificial intelligence has been helping out businesses in a good way. It has leveled down the need for manual work and human brainstorming. AI is the best technique a company adapts in order to run efficiently. Thus, AI is a need for almost all types of organisations in order to run smoothly.


AI systems provide businesses with a wide range of benefits. It includes personalised marketing, inventory management, operational automation and recruitment.

Gravitas AI



That Interesting Path AI Trends will Take in 2019

If the futurists have their conjecture and math right, Artificial Intelligence could take over human intelligence by 2040. In quest of decoding the insurmountable capacities of technology, AI and machine learning, Stephen Hawkins once rightly stated that these could be, “outsmarting financial markets, out-inventing human researchers, and out-manipulating human leaders.”

AI is undoubtedly one of the most revolutionary technologies, which is powerful enough to turn the world upside down and shape it up with a new contour. However, the field of AI has already gone through several phases over the past few years and it should be consistently updated to suit the swiftly-changing needs of the millennials.

Some of these following trends will define the pre-eminence of Artificial Intelligence in the year 2019. A few of these trends might have been in use in the earlier years as well, but have now witnessed an upgrade, which is expected to contribute to the growth of mankind.

Emergence of AI-Enabled Chips

Even a very fast and advanced CPU may fail to boost the speed of an AI and training model. For the purpose of inferencing, the model requires additional hardware for accomplishing the mathematical computations, thus speeding up complex tasks like facial recognition, object detection, etc.

It is anticipated that in 2019, the world’s leading chip manufacturers like AMD, Intel, ARM, and NVIDIA will come up with some more specialized chips to speed up the execution of different AI-enabled apps.

In 2019, different hyperscale infrastructure companies including, Microsoft, Amazon, Facebook and Google could also invest in custom chips that are based on FPGA (Field Programmable Gate Arrays) and ASIC (Application Specific Integrated Circuits). These chips will be highly optimized for running the modern workplaces based on high-performance computing and AI.

A Convergence of AI and IoT

The year 2019 is expected to witness a convergence of IoT (Internet of Things) and Artificial Intelligence at the edge of the computing layer. The industrial IoT is considered to be the major use-case for AI, which can perform root cause analysis, outlier detection, predictive maintenance of equipment, et al.

IoT is also bucked up to become one of the biggest drivers of AI in the field of enterprise in the near future. The edge devices are expected to be equipped with the specialized AI chips based on ASICs and FPGAs.

Rise in Automated Machine Learning

Machine Learning is expected to undergo a discernible change with the introduction of Automated Machine Learning or AutoML algorithm. With the help of AutoML, the programmers and developers will be able to deal with different complex problems sans creating any specific model.

One of the major perks of AutoML is that it can allow the developers and analysts to emphasize only on the concerned issues and not on the overall workflow or process. AutoML can easily align with the custom ML platforms and cognitive APIs. Not only does it save a great deal of time, but also minimize a lot of efforts by addressing different issues directly. This apart, it also holds the capacity of creating a mélange between portability with flexibility.

The Essentiality of ONNX will Increase

It’s true that the plummeting interoperability among different neural network toolkits is taking a toll on the adoption of Artificial Intelligence. In order to beat this challenge, Facebook, AWS, and Microsoft have come together for building ONNX or Open Neural Network Exchange.

ONNX can reuse the trained neural network models across different frameworks. In 2019, it’s expected that the researchers and edge-device manufacturers will consider ONNX as a pivotal runtime for inferencing.

DevOps to Be Automated via AIOps

The modern infrastructure and applications generate log data, which is generally captured for searching, indexing and analytics. The massive data sets acquired from hardware, server software, operating systems and application software can be correlated and aggregated for finding patterns and insights in 2019

When Artificial Intelligence is applied to this entire operation, it will automatically redefine the way infrastructure is dealt with. Both Artificial Intelligence as well as Machine Learning in DevOps and IT operations can deliver adequate intelligence to an organization.

AI and Cybersecurity

For the past few years, the rate of cyber crimes has taken off drastically. Today, an optimum level of cybersecurity has become the biggest need of the hour. The inclusion of AI in the field of cybersecurity will empower cyber experts by making the entire system more robust. This year, there are possibilities galore that AI will become a very integral part of cybersecurity.

A Tweak in Speech Recognition

Over the past few years, there has been a staggering hike in the frameworks for Natural Language Generation (NLG) and Natural Language Understanding (NLU). The NLP algorithms will gain the ability to decipher different human emotions, figures of speech and sarcasm.

The modern voice assistants are expected to be able to gather data from voice and combine that with the process of deep learning for associating different words uttered with different kinds of emotions. This way, the new-age voice assistants can enrich the entire library of processing texts and speech.

If done impeccably, this could be proven as a revolutionary step in the field of customer care where legions of bots have struggled with the intonation of customers’ voices.

A Mélange of AI, IoT, Chatbot and Cloud

It might not be just a matter of great expectation to witness a powerful collaboration of AI, chatbot, IoT, and cloud. The IoT devices could act as a powerful interface via which the consumers and societal stakeholders would interact with each other.

Some of the voice-enabled devices such as Amazon’s Alexa, Google Home, etc. are expected to augment the customer experiences and become the key point of interaction with different business hubs. It may also happen that the decentralized databases of Blockchain could help in managing contracts, valuing customer requests, and enabling transactions between different parties in the supply chain.


This is the age of a technological evolution. AI trends will come and go depending on their popularity and usability. One should understand the utility and relevance of a new AI trend prior to reaping its benefits.

Let’s stay fingers-crossed.

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