Category: AI & ML

How Is Artificial Intelligence Helping The e-Commerce Companies Change The retail Landscape?

Living in a digital world, enabling a positive and immersive user experience using technology is the key objective of every digital business. Today, the everyday lifestyle of people has evolved the businesses to be user-friendly, customer-centric, and enable a lesser turn-around-time. Helping businesses do these with ease, AI has come as a boon to almost all the business industries and sectors.

Helping consumer make informed decisions and buying goods at their convenience, the e-commerce industry has completely disrupted the way we shop today. It is one of the industries that use AI to the fullest potential. The implementation of AI technology in the e-commerce sector is a very strategic step towards business development and increasing revenues. By wisely using AI, e-commerce businesses are creating an immersive experience for its users across the globe. With constant use of latest technologies, e-commerce today has changed the global retail landscape.

AI technology is backed by data, and analysing data ain’t that simple. While it may not be a simple technology to use, but if implemented rightly, it can reap you the best benefits. The mission of any AI tool is to quickly provide accurate and scientific data to help businesses and its users make informed decisions.

In this blog post our experts share three most widely used AI technologies than can help e-commerce players change the retail landscape:

 

Chatbots and virtual assistance

What better way than to be available for your customers 24*7? Yes, AI can help you with that. Built using trending AI technologies, digital assistants can help you provide 24*7 support to your online customers. This enables a better customer experience as the customer queries are answered real-time. Chatbots also have the capability to:

  • Address customer needs with in-depth insights
  • Interpret voice commands
  • Provide highly personalised answers to the queries

 

Intelligent product recommendations 

Every e-commerce business in the world is fighting for higher user attention and revenue. Using AI can help them keep their users engaged and shop more from their platforms. The best use of AI in e-commerce is enabling personalised recommendations for online shoppers. It is noted that the conversion rates increase exponentially when an AI bot recommends a product. These AI bots use big data technologies to make recommendations by analysing the user’s purchase history and buying patterns. With the right use of this technology, e-commerce players can:

  • Increase customer loyalty and retention
  • Increase sales and generate better revenue
  • Provide highly personalised shopping experience

 

Smart inventory management 

An e-commerce player can only survive if their inventories are tracked and managed at real-time. Inventory management aims to procure and maintain the right level of inventory that can strategically fulfil market demands. AI can help e-commerce businesses maintain the inventory at real-times, suggest recommendations, and order supplies. This AI-enabled smart inventory management can help e-commerce players to:

  • Anticipate market demands on a real-time basis
  • Compare trends of previous year/half/quarter
  • Highlight demand-supply issues

These were some benefits of using AI in e-commerce. The accuracy and agility of AI bots had enabled AI-based technology to rule the digital world. As an e-commerce player are you willing to nurture AI for your business? Experienced in developing AI-based e-commerce applications, GoodWorkLabs can help you build an effective and efficient e-commerce platform or mobile application. Reach out to us at +91- 9863077000 or [email protected] for a free 1-hour consultation of how we can help you.

Artificial Intelligence Benefiting The Healthcare Industry 

Technology has widely proliferated across the industries and has touched almost every corner of our lives. Healthcare industry is one such segment that the technology is bringing in a disruption into. With a vast transformative capability, artificial intelligence(AI) and robotics are re-shaping the way this complex industry functions. It is slowly changing the healthcare delivery system in a much more streamlined, structured, and insightful manner.

AI and robotics have become an extended part of the human mind and body which performs tasks that humans do, more efficiently, quickly, and precisely. Whenever we think of AI and robotic in healthcare, we first envision a robotic surgery or automated check-ups, but in reality, the magnitude of this technology is a lot more than that. By simplifying the lives of doctors, patients, caregivers, and hospitals, AI and robotics are re-inventing the modern healthcare system by comprehending, learning, and solving problems like how doctors do. Having said that, today, AI-driven care does require some human intervention. It is predicted that shortly these programmed systems will make the right decision using their learning and understanding without any human interventions.

Here is a line-up of the major ways that robotics and AI are disrupting the healthcare industry as we discuss:

 

Accuracy

AI and robotic systems do not get tired, hassled, or lose attention. It perfectly bridges the gaps between human intelligence and machine performance. As these systems are tech-enabled and data-driven, they perform tasks with utmost precision, vigour, and intellect. As far as the software is rightly coded, human intervention can be limited.

Also, micro-robots are so conditioned that they perform their tasks very precisely. They are so designed that they travel to the destination point in the body and are used to deploy drugs locally or perform micro-surgeries like unclogging of blood vessels. A right code and it does it all.

 

Diagnostics and treatment plans 

The best use of AI and the robotic system is to detect patterns that examine various conditions and health risks by studying the health records and other available data. If the data provided is accurate, AI can be extremely helpful in rightly identifying the risks and hazards. These systems are designed to analyse, predict, and provide solutions. Today, they are mostly used for advanced endoscopy and visual diagnostics.

The system can read zillions of cases and reports, and find co-relations between the available variables. This helps in real-time analysis of complex life-taking issues and risks, especially in the field of cancer diagnosis and treatment.

 

Virtual Assistance 

Caregivers are the backbone of the healthcare industry. Using AI applications, they can deliver care services by virtual nursing and assistance. It is a great tool when hospitals and clinics have limited healthcare workers or are understaffed. Also, this professionally assisted AI-driven monitoring system is a great option for the ones who chose to recover from home or who can not afford a bed in a hospital. This can also help during the pandemics and outbreaks when hospitals have limited beds and are not readily available.

 

Decision Making

Any healthcare provider aims to improve the health of their patients and so is the motto of AI-driven healthcare robots. Care is best provided by carefully aligning the data with mindful decisions. The analysed data and insights help caregivers predict and make the best clinical decisions and act faster. AI-enabled healthcare systems help read reports and health data very precisely and quickly and thereby providing the best possible solutions depending upon their learning capabilities. Today, many hospitals and institutes are implementing cognitive technologies to read a high volume of data, enable quick diagnosis, and make informed decisions.

 

Final words

It is fascinating to see how technology is changing the way a complex and critical industry like healthcare is functioning now. Though there is a lot more than robots and AI in the healthcare industry, it is of course a notable growth in the segment. In the times to come, the industry will for sure witness development of more efficient tools, enhancements, and augmentations. The continuous learning of AI-driven robotics will only help improve their capabilities and efficiency and enable a healthier world.

 

GoodWorkLabs is a global technology development company. We have built custom-made and agile healthcare applications that have helped the industry to achieve their business goals effectively. We are known to make the best use of global tech trends while developing applications that excel massively. Reach out to us at +91- 9863077000 or [email protected] for a free 1-hour consultation of how we can help you.

 

How Can AI And ML Help You Build Trending Mobile Applications

Enough has been spoken and heard about artificial intelligence and machine learning. Most of us are aware of these technological jargons. We are in a world where we must have come across these technologies on a daily basis, but little do we know deeper about it. From tech to voice to face enabled devices, we all have witnessed a dramatic evolution of technology in the last decade. It did not only contribute towards the transformation of the internet and software industry, but also the lives of individuals – you, me, and us!

Technologies related to AI and ML is expected to grow in the years to come. Even many social media platforms are today investing ample amount of money in the development of AI techniques to keep their audiences hooked to the platform. Over-viewing the mobile app industry, it is not a hidden fact that today most of the mobile applications are built on AI and ML technologies. Today, we have mobile applications for all our activities – shopping to dating, food to fashion, travelling to surfing, etc.

How Can AI And ML Help You Build Trending Mobile Applications

According to a report by Statista, the global artificial intelligence market is expected to grow greatly by generating 118.6 billion revenue in 2025. Viewing that, the future of AI and ML technology looks very promising. Therefore, it is a great time to incorporate some AL and ML techniques in your mobile application. Let us look at how two of the leading the AI and ML techniques can help build a trending mobile application:

Predict User Behaviour 

You must have used Amazon or Myntra. Did you get what we are hinting at?

Yes, those suggestions, recommendations, and notifications. They provide you with the most similar products you are looking for. How do you think this happens? Is there is a fairy in the app? Yes, there is and she exactly knows – what you are looking for, what you like and what you don’t, what excites you and what makes you add the items in the cart. Well, no points for guessing, she is AI and ML.

AI and ML mobile applications developed by top AI and ML app developers help the businesses and their marketing teams to understand customer behaviour and psychology. The insights drawn provides information on customer choices, preferences, buying patterns, and budgets by capturing data such as age, location, gender, buying frequency, spending capacity, etc. It is the perfect integration of in-depth data learning and observing the user behaviour across all devices that help create a 360o view on customers. The data so collected enables the brands to approach each customer group and deliver products that perfectly fit their individual needs.

Virtual Assistants 

Hey Siri! “Go on, I am listening” – Siri (Well, there’s someone ‘listening’)

That is how we connect with our smartphones these days, don’t we? Siri, Alexa, and Google, all are changing the digital way of communication with our phones and mobile applications. The technology helps you use your phone or a mobile application while you are performing some other task. It has made the user experience much seamless and fruitful.

This technology has further strengthened the trend of online shopping. Today, 95% of online shopping in the world is made through voice commands and that shouldn’t be a surprise. Industry to industry, virtual assistants are greatly impacting and disrupting the way consumers purchase and retailers sell/market.

Are you still wondering how can you invest in AI and ML? Lets us connect to understand your requirements and help you with an AI and ML based mobile application. Connect with us at +91- 9863077000 or [email protected]

 

 

Three Technologies That Will Foster After The COVID-19 Pandemic 

The last decade introduced the world to the digitization of many sectors. This helped the global trade to increase worldwide as many developing and emerging countries became important trading partners and potential sales and development markets. Digitization has helped us to be more connected and perform our daily tasks more effectively. It has made the world a global village and people global citizens.

However, the economies built in the previous decade came crashing to the ground in the last few weeks as COVID-19 pandemic hit the world. While the pandemic has had a great impact on the global economy, it taught us how to fight and improve the current condition using technology. It has laid a new pathway by disrupting our lifestyles by enabling contact-less and virtual experiences. Even though the technology cannot prevent the onset of the pandemics, it can, however, help prevent the spread, educate, empower, and warn people around. Today, these technologies are emerging more than ever – mobile, cloud, analytics, robotics, AI/ML, 4G/5G, and high-speed internet.

Three Technologies That Will Foster After The COVID-19 Pandemic 

Let us look at three technologies that are disrupting our lifestyle each day during this pandemic:

Artificial Intelligence and Machine Learning

From tracking the travel history of COVID-19 patents to analysing the symptoms of people exposed to the infection, the applications used by many governments do it all. These applications use chatbots to gather information from people, and the technology used in these applications is that of AI and ML. This enables the government to collect reliable information much easier and faster without any human intervention.

The advent of more such mobile applications and software will help ease the lifestyle of customers.

Extended Reality

Augmented and virtual reality is surely a boon in the world of lockdown and quarantine. This technology can be used in providing more meaningful and real experiences for people. The technology can help you see the world while you are locked in your home. This experience will change the way we travel, work, and relax. For instance: Realty brands can focus on using AR/VR videos to target their audiences by helping them take a walk-through the project while they are seated in the comfort of their home. This is an example of how a sector can use the contact-less experience to their advantage.

Cloud and Internet

The last few weeks have seen a great transition in the way the workforce can function. Companies got to believe that remote working and work from home concepts can be of their advantage. The transition to work from home and remote working has increased the dependency on cloud and internet infrastructure. The usage of this technology is set to remain the same even post lockdown and pandemic as many companies are moving towards welcoming a ‘hybrid’ way of working. This will increase the demand for teleworking applications and software for the team to be connected and interactive.

Talking about the internet, technology has changed the sector of education. It has enabled kids to learn and study from home using applications that require an active internet connection to connect with their peers and teachers. For times to come, e-learning will be an accepted norm for the parents and teachers alike.

The COVID-19 pandemic has demonstrated to the world that importance of digital readiness. The acceptance and usage of digital technology will allow the business and individuals to continue their work and chores as usual during the pandemic. The companies at large will focus on building necessary digital infrastructure by using the latest technology to stay connected with their employees and customers. The pandemic has increased their market competition by many folds, therefore businesses will have to take an approach that is human-centred and inclusive using technology governance.

 

Top 5 new age trends in mobile application development 

In the last decade, almost every day, we have witnessed an emerging usage of smartphones and applications that support them. The mobile application industry has reshaped the businesses, organisations, individuals, and customers. Irrespective of the domain or sector you are in, it is necessary to integrate the latest mobile application development to get more reach, conversion, and growth. Therefore, it would not be wrong to say that smartphones today are transforming the business models, customer behaviour, operation models, and marketplaces.

In a report by Statista, it is clear that the mobile application industry is expected to reach $693 billion in 2021. Meaning, there is a great opportunity for the mobile app developers, and the year will generate more and more demand to create mobile applications that stand out and see the day of light.

Top 5 new age trends in mobile application development 

Let us look at some of the emerging trends in the mobile application industry that can help you build a mobile application that is with and ahead of times:

AI and ML apps to make smartphones smarter 

Artificial Intelligence (AI) and Machine Learning (ML) go hand in hand while building a mobile application. They are taking a centre stage of almost all technological advancements and innovation for they ease the life of customers, businesses, and employees. Apart from making life easy, they also contribute to saving time, effort, and money for mobile app developers and businesses.

Using AI and ML has lead businesses to understand user behaviour at a much deeper level. This indeed helps them solve complex business problems which would have been tough to gauge without interacting with users/customers. The simplest (or to say commonest) example of AI and ML apps is the usage of chatbots, Siri, and google.

Selling an experience through AR and VR

Known as extended reality, Augmented Reality(AR) and Virtual Reality(VR) is here to stay. Widely used for mobile gaming applications, this trend is slowly set to change by bringing in more meaningful experiences for the users or customers. It is predicted that this technology will be widely used on social platforms for branding and targeting potential customers through AR/VR apps. For instance: Creating an Instagram filter to promote your brand and engage the audiences.

Also, today many real estate developers are providing AR/VR videos for the audiences to experience their upcoming projects and taking informed decisions. This has helped them to set clear expectations and get faster conversions.

Talking about the worldwide market of AR and VR technology, Statista predicts that the business value will hit to $209 billion in 2022.

Wearables, the emerging fad

Expected to reach $44.2 billion by 2020, the wearable industry will change the everyday lifestyle. From healthcare to e-commerce all are banking on this trend to increase the engagement and revenue. The integration of wearables serves as a key to innovation and technological development.

Apple watches have pioneered this trend, and with their latest WatchOS update, they have made it clear that the Apple Watch apps will no longer require a companion iOS app. Meaning, the world of smart wearables will now be just as wide as that of smartphones.

On-demand apps, a change maker

Today we have an application for almost all our daily needs and chores – from delivery to travel, OTT to banking, and home-spa to healthcare. This is all possible because of the on-demand application developers. To develop an application that brings in change, you need to vision problems from the end-user point-of-view, anticipate, research, and then develop a solution.

In a report by Shamika Ravi and Niam Yaraghi, it is predicted that the on-demand application industry is expected to generate $335 billion in revenue. Therefore, most industries will make use of this successful business model by embracing on-demand application in their businesses. On-demand mobile applications will disrupt the way we life, work, travel, shop, and relax!

IoT, enabling a seamless experience

Living in a world of interconnected smart gadgets, we can see that Internet of Things (IoT) has already become an industry that is here to deliver a real-time experience which is seamless, fast, and valuable. IoT’s integration with mobile applications has brought in a change in inventory management, buying behaviour, digital marketing, etc. As the demand for IoT gadgets is increasing day by day, there is going to be increased demands of IoT-enabled applications as well.

With many applications being developed each day, the mobile application industry will continue to expand at a rapid pace. This will lead to more disruption thereby making way for newer trends that will change the way we all live, work, and play! Having said that, to stand out in the market and be alive, the businesses will have to anticipate and stay updated with the latest technological developments.

Should you be planning to develop a mobile application that will engage your customers and increase your revenue by using the latest trends, then contact us at [email protected] or  +91- 9863077000.

 

15 Mind-Blowing Stats about Artificial Intelligence

Are you looking to incorporate AI tech in your existing business model or are you generally curious about this technology? Get an insight into how Artificial Intelligence technology increases the productivity of the business and accelerates performance.

In either case, there are some mind-boggling essential facts that you must know about AI. 

Starting with the basics, we are quickly briefing you about this technology.

In the current industry scenario, some industry sectors are at the start of their AI journey, while others are veterans. 

Artificial Intelligence and Machine Learning are now considered one of the significant innovations since the microchip. 

We have come a long way since they set foot in the market. Machine Learning used to be a fanciful concept from science fiction, but has now become a reality.

Neural networks paved the way for “deep learning” breakthroughs in Machine Learning. While the previous Industrial Revolution has harnessed physical and mechanical power, this new revolution will harness mental and cognitive capacity. Many experts in the field believe that Artificial Intelligence Technology is ushering the next “Industrial Revolution”. 

Someday, not only manual labor will be replaced by computers, but also intellectual labor. But, the question is how exactly is this going to happen? Or has it already started?

By 2025, it is projected that 463 exabytes (EB) of data will be produced globally each day — equivalent data in 22 crore DVDs per day. That’s huge!

How Artificial Intelligence and Machine Learning will impact our day-to-day lives in times to come?

 

1) AI into Automated Transportation

Have you been flying on an airplane recently? If so, you’ve already experienced the automation of transportation at work. Such modern commercial aircraft use FMS (Flight Management System) to control their location during flight, motion sensors, a combination of GPS, and computer systems.

 

2) Self Driving Cars and AI

It is more difficult to leap into self-driving car business. Since there are more cars on the road, many obstacles to avoid, and the traffic patterns and rules restrictions which we need to adhere to. 

According to a report of 55 Google vehicles that have traveled over 1.3 million miles overall, these AI-powered cars have even exceeded the safety of human-driven cars.

With Google Maps’ assistance on your smartphone about location data, we have already conquered the GPS forefront. A similar GPS is used in these cars, which can calculate how quickly the device is traveling by comparing the position of a device from one point in time to another.

It can decide how slow real-time traffic is. It can combine information with user-reported incidents to create a traffic image at any given time. Maps will determine the fastest route between you and your destination based on traffic jams, construction works, or accidents.

What about the ability to drive a car? Well, machine learning enables self-driving vehicles to adapt instantly to changing road conditions while learning from new road situations at the same time. Onboard computers can make split-second decisions much faster than well-trained drivers by continuously filtering through a flow of visual and sensor information.

All this is based on the very same machine learning principles used in other industries. You have input characteristics (i.e., real-time visual and sensor data) and output (i.e., a decision on the next actions for a car). Amazing, right?

 

3) Cyborg Technology

Our minds and bodies are less than perfect. Technology will improve to the extent that we can increase some of our computer weaknesses and limitations, enhancing many of our fundamental skills.

But, wait before you start to imagine dystopian worlds of steel and blood, consider for a moment that most people walking around are in a certain way “cyborgs.”

How many people do you know that without your trusty smartphone would survive the day? For contact, navigation, information learning, receiving important news, and a host of other things, we still rely on these handheld computers.

 

4) Taking Over the Dangerous Jobs

Bomb disposal is one of the most dangerous jobs. Today, among other things, robots (or more technically drones) take over these risky jobs.

Currently, most of these drones need to be operated by a human.

But as machine learning software is evolving in the future, robots with artificial intelligence would do these tasks entirely. This technology has already saved thousands of lives on its own.

Welding is another work outsourced to robots. This type of work produces noise, intense heat, and fumes toxic substances.

Such robot welders would need to be pre-programmed to weld at a specific position without machine learning. Improvement in computer vision and deep learning, however, has allowed greater flexibility and accuracy.

 

5) How AI helps in nursing elders?

Everyday tasks can be a struggle for many senior citizens. Many have to hire help from outside or rely on members of the family. 

For many families, elder care is a growing concern. In-home robots can support elderly relatives who don’t want to leave their homes.

This approach provides more flexibility to family members to handle the care of a loved one. The in-home robots can help seniors with daily tasks and allow them to stay as long as possible independent and live in their homes, improving their overall well-being.

Health and Artificial Intelligence scientists even have infrared-based systems that can identify when an older adult falls. Scientists and medical specialists can also track sleeping, feeding, decreasing mobility, fluid intake, chair and bed comfort, urinary frequency, restlessness, fatigue, food and alcohol consumption, and many more.

 

6) AI into enhanced Health Care

Hospitals might soon put your well-being in the hands of AI.  Hospitals that use machine learning to help treat patients have fewer accidents and fewer cases of hospital-related illnesses, such as sepsis.

Artificial Intelligence also tackles some of the most intractable problems in medicine, such as helping scientists to understand the genetic diseases with the help of predictive models better.

Initially, health professionals must manually check the information reams before they diagnose or treat a patient. High-performance computing GPUs have become primary resources for deep learning and AI applications.

Deep learning models can offer real-time insights and, in conjunction with an abundance of computing power, help healthcare professionals diagnose patients more quickly and accurately, create innovative new drugs and treatments, minimize clinical and diagnostic errors, predict adverse reactions, and reduce healthcare costs for clinicians and patients.

 

7) Artificial intelligence is capable of changing the business forever

It is a promise to take care of all the tedious things that employees are already doing, freeing their time to be more imaginative, and doing the job that machines are unable to do.

Today, emerging technology is mainly used by large companies through machine learning and predictive analytics.

 

Here’s a look at AI’s current county and what lies ahead:-

  1. Nowadays, only 15% of companies use AI whereas 31 percent said it was on the agenda for the next 12 months.
  2. For those companies already in the Artificial Intelligence range, high-performing companies have said that they are more than twice as likely to use technology for marketing as their peers (28% vs. 12%). Unsurprisingly, data analysis is a key Artificial Intelligence focus for businesses, with on-site customization being the second most frequently cited use case for AI. 
  3. The survey respondents have described customer personalization (29%), AI (26%), and voice search (21.23%) as the next dominant marketing pattern. These top three responses, totaling 75% of all AI applications, indicate that AI is more widespread and accessible than the respondents are aware of. 
  4. 47% of digitally mature organizations or those with advanced digital practices have established a specified AI strategy. 
  5. Business leaders said they agree that AI will be fundamental in the future. In reality, 72% said it was a “business advantage.” 
  6. Of those who have an innovation plan, 61% said that they are using AI to find information gaps that would otherwise be overlooked. Just 22% said the same thing without a strategy. 
  7. Consumers use more AI than they know. While only 33 percent claim that they are using AI-enabled software, 77 percent currently using AI-enabled products or phones. 
  8. 38% of customers said they believed that AI would boost customer service. 
  9. Out of 6,000 people surveyed, 61% said they thought AI could make the world a better place. 
  10. In a survey of more than 1,600 marketing professionals, 61%, regardless of the size of the company, pointed to machine learning and AI as their company’s most significant data initiative for next year. 
  11. The effect of AI technology on business is projected to increase labor productivity by up to 40% and allow people to make more productive use of their time. 
  12. The largest companies, those with at least 100,000 employees are most likely to have an AI plan, but only half of them have one. 
  13. More than 80% of the executives see AI as a strategic tool. 
  14. Voice assistants are incorporated into a wide range of consumer products; almost half of US adults (46%) are now using these apps to communicate with smartphones and other devices. 
  15. When asked about requirements for marketing software providers to have native AI capabilities, more than 50% of the communicators said it was essential or appropriate to do so. 

 

Winding Up

As many people have rightly noted, the idea of Artificial Intelligence is not a new one. It’s been around since the very early days of computing. Pioneers always have invented ways to build smart learning machines.

At present, the most promising method for AI is the use of applied machine learning. Instead of trying to encrypt machines with everything they need to know beforehand (which is impossible), we want to allow them to learn, and then learn how to learn. 

The time for machine learning has arrived, and it is in the process of revolutionizing all of our lives.

Liked our content? Then visit us today at GoodWorkLabs and learn more about us. For any feedback or suggestions, you can comment in the drop-down section.

 

 

How can Artificial Intelligence enhance Travel?

#Wanderlust is trending on social media channels. There is no denying that curated travel experiences have been at the heart of the travel industry.

People, these days, participate actively to enhance their travel experiences. As the travel industry is picking numbers, the demand for personalization is growing.

This sudden rise in customization demands has necessitated the use of forward-technologies to cover the gap. As it appears, Artificial Intelligence enhances travel experience to fulfill the gap of demand and supply.

The emergence of Artificial intelligence to enhance Travel!

Technologies like Artificial Intelligence (AI) and Machine Learning assist travel enthusiasts to a great extent. They help people get a faster, safer, and more personalized travel experience.

As we speak, Artificial Intelligence is already making a significant impact on the travel and tourism industry. The role of Artificial Intelligence in the functions of traditional human cognition has made life easier.

For giant business houses with frequent travel requirements, AI proves to be beneficial in many ways-

  • Saving time and money.
  • Provide memorable travel experiences.
  • It ensures that business travelers reach their desired destinations without trouble.

In the midst of advancement, it is very well accounted that the expectations of travelers have changed over time. Factors like price, comfort, and services on offer are more crucial than anything else. These expectations can be met successfully by using machine learning.

Artificial Intelligence is a term synonymous today with Internet businesses, e-visa processing, citizen services, travel hubs, and contact centers. The technology has entirely changed the general operational activities in a brief time.

Moreover, speech recognition, language translation, and visual perception are impacts felt in all businesses these days. When AI was not renowned as it is today, experienced industrialists around the world expected disruption by the use of AI.

This particular fear of disruption has not been too important, though. Major industry players are aware of the use of machine learning to provide quick services to clients.

how can Artificial Intelligence Enhance Travel

What exactly does AI do for travel

When it comes to tourism, there are several activities where Artificial Intelligence enhances travels and tourism experience.

Visa:-

Operational windows of contact centers play a crucial role to address visa related queries without too much trouble. AI creates a smooth link between business and visa applicants.

From selecting a preferred language or evaluating the wait time, AI chatbots take in little details to optimize contact centers. Furthermore, getting a customer’s automatic identification or any other piece of relevant data becomes a great experience through a simple AI algorithm.

Data Security:-

With new trends coming up in technology, the importance of data security and privacy has increased immensely. To get a global visa, many outsourced companies need to follow the guidelines of data security and embassy protocol.

Keeping cyber threats into consideration, Visa providers have become more watchful. They now pay more attention to security audits, data encryption, and make use of fool-proof password control systems.

Security here is the first priority and should complement the pace of innovation in the tourism sector.

How AI Is Redefining Travel Today

“Relevance” is a keyword and an important winning factor with AI in the travel sector.

It boils down to the point whether AI has enough potential to bring about a significant change in the ways travel experiences are delivered to customers.

There are a few key areas where the use of Artificial Intelligence can have a lot of impacts to give a better experience for the customers-

  1. DIGITAL INTERACTIONS AND VOICE-BASED ASSISTANTS

In today’s time, a traveler has access to every imaginable piece of information on a single website. Through these websites, travelers plan their destinations and compare different options. Budgets, bookings, and their cancellations come after that.

All of the above activities involve a reading of different descriptions, terms, and instructions before people arrive at a decision. A great alternative is to provide other apps with the role of reducing the interaction.

Bots using Natural Language Processing (NLP) perform the task of nailing more personal interaction for AI through context. The bot finds it easier to understand the meaning of a customer’s query and sort it.

Together, NLP and AI add a lot of weight to every travel-related activity. The immense scalability of these bots is also a fantastic facet to their attributes. AI assistance will go a long way to reduce the inconvenience faced by frequent travelers.

  1. FACIAL RECOGNITION WITH ADDED IMPACT THROUGH BLOCKCHAIN

Travel requires constant monitoring of related documents by different sets of people. There are complex on-boarding and off-boarding processes involved. Facial recognition is a positive way to bring an end to these tiring paper-driven procedures.

Facial recognition will allow travelers to quickly move through airports, customs, immigration, and board flights without having their documents validated.

When combined with blockchain, customers find it easier to visit restaurants and duty-free stores. They can entertain themselves after just a face scan. Blockchain technology ensures that reliable data is always available to complete transactions.

  1. MACHINE LEARNING, A NEW PERSUADER

Airports and airlines have begun to replicate shopping malls and huge retail outlets. Everything from blankets, seats, and hotel rooms are sold there. Machine learning has emerged as a new trend to assist with the sales procedure.

By the use of big data and machine learning, airlines can develop recommendation engines. The role of these engines is to personalize the offers around products from their catalogs.

AI and machine learning make personalization easy. This is because travelers expect travel companies to understand their preferences and offer better deals.  Machine learning also uses external data to help travelers to make quick decisions.

 

The applications mentioned above of Artificial Intelligence, or AI, have one thing in common; they lead to time reduction and also improve the accuracy of outcomes generated.

In an industry where time is of the essence, and data is fluctuating, AI provides many capabilities to ensure things work out correctly.

Did you like this post? Have an actionable idea on AI? Hire us and open the doors of wonders. Let’s work together. Contact us!

 

 

 

Artificial Intelligence update and its Industrial Impact

The arrival of Artificial Intelligence and its practical implementation in industries has paved the way for unlimited opportunities.

The term artificial intelligence (AI) first came up in 1965. AI has become the latest technology, incorporated in different industries across the globe. This technology, in turn, is a great combination when accompanied with techniques to enhance business operations.

Artificial Intelligence essentially means the development, theory, and execution of computer-based electronic systems.

These systems boost the ability of machines in the execution of tasks; tasks otherwise requiring human intervention. AI brings a boost to the profitability of businesses within a range of 38 percentage points.

Artificial Intelligence enhances efficiency and leads to a reduction in the overall costs. The primary objective of Artificial Intelligence techniques is to facilitate the machines to perform intellect-heavy tasks performed by humans.

AI technology is getting increasingly accepted in several areas with the common objective of achieving a reduction in redundant tasks, and attain a better level of performance.

 

AI Update and its Industrial Impact

 

AI Update:-

With time, AI has made its presence felt in all essential areas of work. With the pace AI adoption is happening in different fields, AI can rightly take up more positions of interest several times.

AI is present in self-driven cars, human resource planning, store management, and in the areas of medicine and science. AI has provided great results for all these jobs.

AI-Enabled Retail Outlet

The incorporation of an AI-based retail store in Kochi, India, dramatically shows the impact of AI. In this store, Artificial Intelligence is utilized to cut down repetitive jobs, demanded otherwise from the employer.

There are a lot of tasks monotonous in nature, having the potential to hamper the efficiency and cost utilization ability of human resource. This is a massive reason as to why AI has been such a significant influence on a global scale.

Benefits of this AI update:-

  • The AI-based retail store in Kochi is entirely devoid of human interruption while the customers indulge themselves in shopping.
  • The involvement of AI in this system sees automation to such an extent that the full payment process concludes by e-wallet. The entire store is cashier-free, making the whole shopping experience automated for the customers.
  • The fact that a salesperson is absent in the store led to an experience of lesser interruption for the customers.

The purchase amount gets automatically deducted from the customer’s e-wallet. Here, a significant benefit that surfaces is related to the ease of purchase and reduction in time consumption.

The use of AI in retail stores has led to a noticeable decrease in the time invested in shopping. Long queues for payment get substantially avoided as the amount has a direct deduction from the e-wallets.

Customer Manual:-

  • The customer is required to download the “Watasale” app, through which a QR code gets produced and scanned while a customer will enter the store.
  • The store works with sophisticated camera technology and facial recognition. The shelves of the store have embedded cameras for keeping track of the items picked up.
  • The algorithms then take care of the payment procedure based on the information transmitted through the cameras.
  • All the customer has to do is download an app, scan the QR code, go in the store, shop on their own, and that is all because the store is free from cashiers and has hi-tech cameras working in tandem with the whole e-wallet, the needful gets automatically done at the time of payment.

AI has brought specific projections for the upcoming trends of retail in India for estimation through store visitor analytics. The store visitor analytics use the concepts of AI and machine learning to make a note of footfalls in the store.

AI For Forecasting Wind Farm Output

With the increasing need for renewable sources of energy, the world is making efforts for obtaining reliable sources of energy generation.  Wind farms are a great source of such renewable energy. However, there is a significant issue that wind farms have been facing lately.

Google has included Artificial Intelligence into this matter. In this case, AI is used to make accurate predictions and detailed calculations. The accuracy of these forecasts is an essential determinant for operators to meet the requirements.

The Benefits of AI in Wind Farm Output Calculation

  • Future demands of wind power generation require assessment and analysis much before for staying prepared with the essential strategies and workload. AI is serving as a prospective solution to this issue by ensuring quick calculations and predictions.
  • The system devised by Google can make accurate 36-hour predictions within the final output. This is considerably impressive, without a doubt.
  • The system is beneficial as energy sources can be scheduled to produce extraordinary power at a particular time. Also, machine learning, when included in this system, aids in the enhancement of the value of wind energy generated.

Amidst the continuous optimization of the model, Google is claiming to have increased the value of wind energy by around twenty per cent so far. The upcoming optimization and work done on the system are targeting even higher returns in coming time.

Artificial Intelligence and The Future

Artificial Intelligence is a concept on the brink to reform every industry and the working and structure of every business. Spheres like inventory management, medical examinations, and prior predictions also get streamlined beautifully with AI.

Also, the involvement of AI-powered robots in retail stores is a prospective boon, expected soon by the store owners in retail management.

Besides this, bot chats, blockchain, and machine learning are some of the related areas that are under works.

Furthermore, right from the management of inventory, workforce, movement of materials in the organization to technical analysis, experts are working on making AI useful in every possible way.

Artificial Intelligence and the various concepts surmounting it are indeed capable of reforming a large part of our daily lives and businesses.

If there is any idea you have in mind, or any assistance required, do get in touch with us.

 

How AI can Help with Internship Placements

This new AI-based Internship Recommendation System can be a Game Changer

 

Technology has become synonymous to simplification. There is no denying that all the gadgets and tech have made our day to day life easy and simple. It keeps getting better, as technology is advancing and evolving in leaps and bounds. The world has very much entered the age of Artificial Intelligence with voice-controlled smart assistants like SIRI, Google Assistant, Alexa, Bixby, Cortana, and the likes. These allow us to enjoy the perks of a personal assistant without having to keep one on the payroll.

There is still a lot of work going on AI. Techies are trying to implement it in all the sectors and a new idea has emerged that speaks of an AI-based internship recommendation system. It has been developed by the researchers at Universitas Pendidikan Ganesha, Indonesia, and the tech world is already buzzing with excitement.

This AI based recommendation system can assign or get the best internship placements for the students matching their knowledge, skills, and goals.

 

AI_Internship_Placement

The Internship Dilemma

 

Students spend years studying and acquiring degrees, all the while building their resume step by step for the ultimate goal of getting the dream job. Many take up different courses to forge their skills. All these add up to a strong resume to woo the recruiters. Now, we all know that the rite of passage from being a student to a full-time employee is getting an internship.

An internship is where you learn the tricks of the trade from your predecessors in the field. It is a great way to get into the groove of a working individual leaving the student life behind. That’s why every student aims to land a good internship in the final stages of their education. The experience not only helps them to build a career but it also gives a boost to the resume.

Besides that, it also helps in understanding whether a certain line of work will suit one well or not. It often happens to people who get a job without first doing an internship. After a few days, they might feel that the sector or work is not suitable for them. It is easy to leave an internship but not when it comes to resigning from a job. Hence, the end result is a bad start to the career, which can either slow a person’s growth or derail them from their initial goal eventually. So, the career chart should have three stages i.e. student then intern and finally a professional or employee.

Though an internship is very important, getting one becomes a hassling process. Not all universities guide their students or provide them with internship placements. For average students, it takes a lot of net searching, going to job fairs, etc to finally land a good internship. Even then one might find the place not suitable for him/her. In such a scenario the AI tech developed by Universitas Pendidikan Ganesha can be of a blessing to students to land the perfect internship that matches their profile.

 

Let AI get You an Internship Placement

 

The researchers from this University in Indonesia came up with a brilliant idea to solve the internship dilemma of students. They started to work on a recommendation system that will help the students in their graduation year to find the best-suited internship placement for them. It is totally AI based that makes it all the more interesting.

The system developed by them utilizes a recurring artificial neural network (ANN). It is called the Elman neural network. Their system’s job is to assess the student test results and use it to choose the internship placement which is the best match for their skills.
The students are required to give two tests. In the first one, they have to give sufficient information about their grades, knowledge, skills, goals, and likes. The second test is known as the Inventory Personal Survey. Here they have to answer a few questions that will reveal their behavior and overall attitude.

The researchers explained that the students need only to take the test and answer the questions. After that, the results of the test gets processed and analyzed by the artificial neural network or ANN.

 

The Development Phase

 

In the development phase, the university researchers ran many tests on the system. Sample information was collected from graduate students who wanted to apply for an internship after studies were over. The system was trained and tested in various ways with the help of the data collected from the students.

After running the assessments they were able to come up with great results. The system developed was able to achieve a 95 percent accuracy level. In all those cases the students have suggested internship placements that were ultimately given to the particular students by the University using the usual manual methods.

According to the researchers, the AI based recommendation system can identify both training and the testing data. This observation was based on the results of all the tests run by them in the development phase. They further clarified that the system can recommend internships like administration jobs, networking, software, etc to students who already in the lookout for internships based on their education and skills.

 

It is Just the Beginning

 

This AI based recommendation system can have great use to the management and staff of Universitas Pendidikan Ganesha. It can help them provide internships to students who are seeking it in a faster and more efficient way. It is also highly beneficial to the students as they will get the best places to learn the job from.

To see whether the system works with the same efficiency for a larger population of diverse students, the researchers will have to run more tests and study it further. For that, they will need a huge training dataset.
As of now, they have only used the system to get placements for students who are in the field of informatics. However, they believe that the technology can be further extended to other streams as well.

Nonetheless, this new AI-based internship recommendation system can be a game changer in the field of education and placements. That will be beneficial to both the institutions as well as the students.

If you have any unique idea as such that needs AI based recommendation system, please reach out to us. GoodWorkLabs has a dedicated team of experts to deliver such power-packed solutions for all kind of businesses.

Better Medicine through Machine Learning: What’s real, what’s artificial?

Artificial Intelligence is a part of our day to day lives.

 

Advancement in the field of AI might be the latest buzz in the tech world but AI in itself is not the new kid in the block. The first instances of AI can be found back as late as the 1960s. It was during this time that researchers and experts of cognitive sciences and engineering first started to work on a smarter and more responsive technology.

The idea was to create a computing language that like humans could learn, reason, sense and perform. With the advancement in AI, a subfield came to the forefront which we call the ML or Machine Learning.

It developed as researchers started to use numerical strategies coordinating standards from optimization computing and statistics thus teaching the programs to perform the jobs naturally by processing the data at hand.

Since then a lot has happened in the field of AI, especially in recent years. Artificial Intelligence is involved in our day to day lives. Some of the notable works remain to be gaming and transportation sector being driven by computer vision and planning and phone-based conversational apps that operate through speech processing. Besides that, we have also seen significant progress in works like language procession and knowledge representation as well.  

Better _medicine_machine_learning

In this write-up, we will focus on the advances made by AI and Machine Learning in the Medical field. We will discuss the various ways in which we can use ML in that respect.

ML FOR DIAGNOSIS

There is a lot of scope for ML in medical practice especially when it comes to the diagnosis of the patient. Experts in the field believe that the medical imaging sector will have a significant impact. For example, ML algorithms that can naturally process 2 or 3-dimensional scans to confirm the condition and follow up with the diagnosis. Often these algorithms use deep learning to influence the image data to undertake the respective tasks. Deep learning is of great use in the field of ophthalmology. Recently a healthcare automation company named as the IDx developed a software that can scan images to detect signs of diabetic retinopathy. It is cloud-based software that has already received a green signal from the FDA (US Food and Drug Administration). This kind of software can be of great help in places which are low on resources and yet have a bulk load of complex imaging data to process.   Deep learning based software has also proved to be helpful in radiology as well.

DISCOVERING DISEASE SUBTYPES

The classification and description of diseases and their subtypes that are used today are solely based on the symptoms related observations that were recorded centuries ago. With the advancement in technology, the time has come to opt for a more data-driven approach for classification and diagnosis of diseases.

Some researchers have been working in this respect for diseases like allergy and asthma. They assessed the data from the Manchester Asthma and Allergy Study (MAAS). After analyzing they were able to recognize novel phenotypes of childhood atopy. They have further their research and identified clusters of component-specific IgE sensitization through hierarchical cluster analyses. This according to them will be able to detect the risk of childhood asthma more efficiently.

Experts believe that there is ample scope of using the same data-driven technology to aid in the diagnosis of other diseases as well. Using Machine Learning to detect new actionable disease subsets will be instrumental in the advancement of precision medicine.    

ML CAN REDUCE MEDICATION ERRORS BY DETECTING ANOMALIES

Fluctuating healthcare costs, morbidity, and mortality, all are the by-products of the wrong medication or rather medication errors. All these errors are identifiable through expert chart reviews, the rules-based approach of EMR screening, and use of triggers and audits of events. But all these are faced with a number of hurdles such as time consumption, suboptimal specificity, and sensitivity, high expenses, etc.

On the other hand, anomaly detection techniques that use ML start with developing a probabilistic model. This model will ascertain what is likely to happen in a given context by using historical data. By utilizing that model a new approach within a particular context will be shown as an anomaly if the probability of that happening is at a lower percentage. For example, the patient’s characteristics can be studied after the particular dose of a certain medication to understand the anomaly.   

This kind of technology is already in use. MedAware is a commercially used system that detects medication errors with the help of anomaly detection.

ML AUGMENTED DOCTOR

There is no denying that ML has great potential to alter the traditional rules and methods of clinical care. But one has to be absolutely sure about the technology used before implementing it. Using the wrong methods can be harmful and even be fatal to the patients.

Let’s take an example: Someone wants to foretell the risk of emergency admissions in hospitals by utilizing a model that is trained on past admissions information and data of patients with varied symptoms. Generally, admissions depend on the availability of beds in a medical center, medical insurance of the patient and the reimbursement. The trained model might be able to work out a population level planning of resource to use it for individual-level triage. But it can falsely identify a person and determine that he/she does not require admission. So the algorithm has to be fully tested and trained to avoid such mistakes.

Another downside of naive implementation of a deep learning algorithm in medical care is to acknowledge associations in the training datasets that are not completely related to clinical prediction. These are not even relevant externally. Methods that influence causal elements are less inclined to such overfitting. Faithful development of training datasets and various external approval efforts for each model can give some affirmation that ML-based models are legitimate. These developments need to be validated by medical data scientists so that there is absolutely no risk to the patients. ML can be used for medical care and can benefit many patients. So there is no need to avoid ML. The medical practitioners should learn to understand the idea and technology and use it for the improvement of patient care.

 

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