AI or Artificial Intelligence has major applications in the manufacturing industry. Right from developing OEE (Overall Equipment Efficiency) to FPY (First Pass Yield) production, AI is transcending levels. In manufacturing operations, AI is transforming machinery maintenance, AI-ML-powered analytics based on data predicts how often hulls of ships should be cleaned for maximum efficiency leading to huge cost savings in transportation, etc. For example, some companies use AI for evaluating component images during ongoing production lines that help to spot deviations from the standard in real-time.AI innovations are helping to expand uptime while focussing on quality, and efficient production, process, and the overall output. Let’s see the top 10 AI innovations in the manufacturing industry that are attracting manufacturing companies across the globe.

1. Robotic Plasma Cutters

The AI-driven robotic arm is assisting in the plasma cutting process and eliminates the requirement of the human labor force. Plasma cutting is a significant part of the manufacturing process and it was considered as one of the biggest technology wonders at the time of the industrial revolution. Traditionally it involves huge human labor but AI innovation is allowing to replace this with the cutting-edge robot arm simplifying cutting and assembling processes. It is considered now a remarkable AI innovation in the manufacturing segment.

2. MV Error Detection

AI-driven  MV (Machine Vision)is helping manufacturing with error detection. The technology of Machine Vision frameworks allows manufacturers to digitalize quality control processes in the front & back finish of creation lines. Machine Vision mistake location further allows to recognizing error while expanding a value-based creation of the products concerned.

3. AI-IoT Sensors

AI-IoT-based sensors are a leading AI innovation in the manufacturing sector. IoT (Internet-of-Things)sensors help to assemble information throughout the manufacturing processes at varied phases. All this information serves for continuous advancements and prescient support to manufacturers across levels. IoT sensors backed by Artificial Intelligence are an innovative name, too, in the manufacturing industry.

4. 5G Digital Connectivity

Though 5G (just like IoT) is not a complete AI-based manufacturing technology, it is helping the industry alongside AI for smart Connectivity. Companies offering 5G connectivity have not yet reached the farthest connectivity levels for buyers but proving to be a great support for assembling offices.5G  facilitates a high-speed data transmission bringing in more connectivity potential where AI-powered tools capture those data and process, analyze them helping manufacturing owners with better decision-making ability.

5. 3D Printing

 3D Printing has come out as one of the latest AI innovations in the manufacturing sector. Also referred to as an added substance fabricating,3 D printing is a notable digital device for specialists. The technology is helping manufacturers to create just specific parts or items in a singular form, as solitary pieces. This is allowing for a better arrangement and efficiency in the ecosystem. This is also considered one of the major AI-powered digital innovations in manufacturing the world over.

6. Video Surveillance Cameras

AI-powered video surveillance cameras are considered a boon towards managing security in the manufacturing industry. The very technology helps to manufacture businesses to cope with the higher costs involved for live security personnel ensuring safety and security. Workplaces, factories, logistics, and several areas that need constant vigilance and monitoring are not possible to be done manually. So, AI innovation in the form of advanced video surveillance technology, cameras, is helping organizations to carry out security features in a seamless manner.

7. E-Tail Supply Chain Model

AI-based automation at varied points, warehouses, procurement facilities, is helping the logistics in the manufacturing sector for efficient and productive ­­­­­­­­­­­­­ end-to-end processes and deliveries. This has created a new model, the e-tail supply chain model that connects, integrates inventory, and varied other logistics stakeholders ensuring improved supply-chain management overall.

8. Visual Inspection Tool

AI-enabled automated visual inspection tool is another landmark AI innovation in the manufacturing sector. Businesses are leveraging this AI capability to a great extent as it can detect flaws that are too small which humans cannot see with the naked eye. Products with microscopic flaws can be detected by AI-enabled cameras that are highly powered and sensitive than human eyes. The overall system can recognize even the smallest defects, flaws in products, mark them and send timely alerts to the concerned department.

9. AI-ML Inventory Management Solutions

Manufacturing businesses take into cognizance this aspect of AI intervention in the sector. Inefficient inventory management leads to greater overhead costs that are detrimental to any business involved. AI-ML-powered inventory management digital solutions help to manage the entire process effectively increasing productivity and efficiency. Manufacturers can manage inventories seamlessly based on demand and supply meters.

10. AI-Enabled Robots

 AI-enabled robots are replacing humans for risky transactions and lifting heavy equipment required frequently. Thus, AI is more than just a digital method to optimize automated processes. Remotely controlled  AI-enabled robots can do varied tasks that are beyond human capacity.   It enhances the traceability, flexibility aspects enabling successful operations in the ecosystem.

Wrapping Note

Want to know what is the future of AI in the manufacturing industry? As per Fortune Business Insights, AI (Artificial Intelligence) in the manufacturing market is geared for a massive USD 9.89 Billion by the year 2027! This is self-explanatory of the beneficial use cases of AI and how the technology is transforming the industry with magnificent innovations and inventions bringing positive outcomes!

We know during the entire manufacturing process, you deal with several challenges, right from raw materials to the process of production, from testing to marketing, and then for delivery. AI can help you in eliminating mundane tasks and bring productivity in multiple areas – Connect to our experts to know more.

Data is the most important asset of the retail industry. Data is useless if it does not help companies to make smarter decisions for business growth. As consumer behavior is evolving with time, it depends on how data are helping retail companies to get relevant business insights, improving customer experience leading to enhanced business outcomes. Predictive Analytics is the AI /ML digital tool that works on data to derive valuable insights and predictions, forecasting sales thereby helping retailers to plan ‘What Next’ moves. How Predictive Analytics can boost the retail industry? How is it helping retailers to generate sales and have a competitive edge in the market? We will discuss all these points in this blog today.

1. Product Demand Forecast

As a retailer, you want your business to expand and products to connect with your target audience. If you know what does your target audience demand and their preferences, your products will never be out of stock or understock, right? To keep your business running smoothly, predictive analytics helps to forecast the demand for exact products your target audience wants. The technology helps to ensure that you have enough items stocked to sell and can meet demands adequately and can predict your profitable months as well as sales deficit. It means predictive analytics helps retailers to assess demand and sales performances. Product performance can be gauged by indicators such as sales margins, the number of units sold besides other metrics. It helps to improve consumer engagement and satisfaction.

2. Pricing Forecast

Pricing forecasts is a major functionality of predictive analytics that uses real-time capabilities of machine learning, and data science technology, to bring out adequate answers to questions that as a retailer you’d like to know in advance. Few sample questions that predictive analytics can forecast regarding pricing elements are:

• For maximizing sales what’s the right price point?
• What should be the frequency for running price-based promotional activities?
• What should be the optimal attainable price of a customer?
• How the competitive pricing will impact sales?

Apart from the above factors, weather forecasting, real-time sales data also help to alter as well as induce the most perfect pricing part (best pricing ).

 3. Managing Inventory

As we have mentioned earlier, too, how predictive analytics helps in estimating product demand and what your target audience wants, it also helps towards managing your inventory properly and up to the mark. A poorly maintained inventory leads to a loss in sales. As a retailer, you will never like to hold on to those products that are not yielding sales. Moreover, you will always want to replenish stocks that your consumers want to buy. Predictive analytics helps to predict demand for products that help you to manage your inventory.

4.  Marketing Campaigns

As a retail business, you need to prioritize marketing campaigns from time to time.  Your business needs a powerful marketing plan that helps to boost your business potentials driving the best ROI. An inefficient marketing campaign management leads to a poor ROI because you cannot estimate the right budget and varied inaccurate calculations done on your part.AI-ML digital capabilities of predictive analytics help you to gain actionable marketing insights, and suggest you adopt individual campaigning for a specific target audience and be more budget efficient leading to maximum conversion of leads.

5.  In-Store Optimization

Predictive analytics helps in online monitoring of shopping activities, as well as in-store data analysis. Varied digital tools & technologies, IoT sensors, and surveillance cameras that are installed in retail stores, on product shelves, help to monitor the shopping activities of varied consumers. The technology helps you in the following ways:

• You can identify your shoppers’ favorite routes throughout the retail floor
• You can identify and distinguish popular, most searched products on varied shelves
• You can count the total number  of visitors  in your shopping zone at different times per day
• You can adequately calculate the average visit time of customers
• You can genuinely monitor queues

Predictive analytics helps you to gather these valuable insights. Using these insights, you can configure store layouts, plan the schedules of your staff, can distinguish the ideal opening hours of your retail stores, reduce customers’ waiting time in queues, and increase the high level of security.

6.  Shopping Cart

 If you own an e-commerce retail store, you can leverage the massive capabilities of AI-ML-powered predictive analytics to optimize your online store, product categories as per existing online shopping carts of consumers. For instance, your customers while browsing your online shopping stores may come across products they like so much. They save them, add them to their shopping carts. When they don’t buy them,  predictive analytics tracks them and lets you know why they didn’t buy and how you should respond to this kind of situation in the future.

7. Social Media Marketing

Social media marketing, online advertising are important segments of retail marketing. As a retailer, you’d think social media marketing involves greater expenditure than offline advertising. But using predictive analytics, you can manage these upfront costs and invest in social channels where you gain the maximum outreach and visibility. Predictive analytics can help you maintain a strong social media presence. You don’t have to stress regarding unreasonable expenses because the digital tool helps you to invest smartly on those social channels where you get the maximum ROI and prospect of acquiring new customers.

Conclusion

Predictive Analytics can help to predict the future of your retail business. Whether you are an online retailer sharing an online marketplace with bigwigs or small start-ups in the offline retail space, predictive analytics helps you to extract valuable actionable insights for your business outcomes in the right direction. The aforementioned AI-ML-powered digital capabilities of predictive analytics are just a few significant use cases in the retail industry. There are many more benefits yet to unfold. Stay tuned to this space and we will have further elaboration on this topic with detailed analysis.

Are you a retailer in the e-commerce industry or a physical retail store and changing consumer behavior bothering you? Want to know how predictive analytics can help you solve this challenge and grow your retail business?? Reach us.

When was the last time you did online shopping for your favorite product? Did you make online searches in search engines or search bars on varied e-commerce websites? Did you opt for Voice Search in your search process? Your answer lies in your action – adopting voice search technology like Google Next(previouslyGoogle Home) or Amazon’s Alexa. Typically voice commerce technology incorporates an AI-compatible physical device that supports a voice virtual assistant to carry commands by users. Voice is the input command. For example, Amazon’s Echo, Plus, Echo Dot are a few smart speakers that act as a platform for Alexa to run. Due to the recent trends and challenges in the retail industry, voice commerce has been gaining momentum. In this blog, we will discuss the basics of Voice Commerce and its varied applications towards e-commerce in the retai­­­l industry.

What is Voice Commerce

Voice commerce means a smart virtual assistant powered by Artificial Intelligence (AI)that allows people, businesses to multitask, i.e. searching, categorizing, purchasing, trading, etc.  It is finely integrated with portable smart devices just like  Apple’s Siri, Google’s Next, Amazon’s Alexa, Microsoft’s Cortana. Using voice-commerce technology, customers can now purchase products merely by giving their voice commands to smart devices. Not just that, it also allows you to perform complicated functions such as solving your queries, carry out simple orders. Voice commerce technology is changing the way brands do communicate with their target audience. It is also changing the way consumers do shopping, the overall consumption habits of people. So, you see, how voice commerce is increasingly making the market more competitive at varied levels. A massive $40B voice-commerce sales are projected in the US by the year 2022.

Impact

Many e-commerce brands have started adopting voice-controlled virtual assistants (voice-commerce) in their digital strategies. Undoubtedly, voice commerce technology has created a significant impact on the e-commerce sector. You consider your example, how often do you use voice commands for search as well as placing your orders? How many times do you use Alexa or Google Assistant? If you are a business owner, enterprise, and ask Alexa/Siri, etc. to give comparative results of your competitors, competing e-commerce brands, you will be amazed at seeing the accurate results that flash before you.AS a consumer, voice-controlled virtual assistants or Conversational AI is not just limited to your shopping activity. It can do much more than searching for your queries or information, listening to your favorite music, or ordering food. Voice Commerce technology allows its virtual assistants to help you with recommendations, too. It can check your order history, search history, and based on that will come up with recommended products, or a good suggestion. So, this way voice commerce is helping the e­­­-commerce and the entire retail industry to a new level.

Benefits

The Voice Commerce technology is facilitating e-commerce stores or e-retailing businesses to leverage the evolving trend of voice-activated online shopping behavior of consumers. The following reasons can explain to you how voice-enabled search technology/ voice commerce can be beneficial for your e-commerce business:

1. Enhanced Customer Experience

Voice commerce is changing the way your customers interact with your e-commerce business. It facilitates a seamless experience for your customers and there’s no need to imply certain resources to complete the process successfully. As an e-commerce store owner or proprietor of an e-store, you can expect varied kinds of innovative solutions into the loop of your business. Indeed, the e-commerce business landscape is transforming and voice commerce technology is empowering it. Take, for example, H&M, a popular retail brand, has adopted a virtual stylist that recommends customers their most matching outfits. Helping customers in their shopping journey is enhancing their satisfaction level. If customers are satisfied, your business is automatically elevated to the next level. Thus, AI-enabled Voice Commerce technology is seamlessly integrating with customers’ shopping experience, and you should leverage this capability for your business gains!

2. Arousing Brand Connection

When your customers purchase products from your e-commerce store, they automatically get connected with your brand. When they start using your products, they develop a sense of belonging towards that product, considering it a major part of their life. This journey is greatly motivated by AI-enabled virtual assistants that give them the power to search and buy and connect ultimately with the brand they choose! The plus point is the fondness for voice search assistants by the younger generation. This generation is too keen on trying out newer technologies and leveraging the best of them. And this gives ample scope to your business growth. Since voice commerce technology follows the recommendation process, voice search brings out results that match with customers’ preferences and product descriptions. This is the positive business development for new e-commerce businesses. How? The search results based on preferences are not biased against brand presence but their relativity with the product search. New e-commerce businesses can easily get noticed now over the maps! Voice-Commerce or AI-based virtual assistants allow consumers to connect with the brands they love and seamlessly integrating with their shopping experiences.

3. Improved Search Engine Results

You can use keyword research in Google and other search engines to find out what people are buying and their current preferences for a product, brand, pricing, etc. This way, you can optimize keywords as per search volumes and related aspects. With the ever-changing demands of customers that are greatly influenced by shifting market trends, voice commerce-powered keyword research, search optimization does help online businesses to adapt accordingly. As per sources, if you give voice search commands over Google devices, the results that come out have certain correlations with Google’s featured snippets also. You can leverage this potential and optimize content that can feature you in the organic search results. If you give a significant effort to the SEO aspect, chances are more that you stand alongside top e-commerce brands in the search engines.

Helping Brands via Voice Shopping

There are two types of voice shopping that e-commerce businesses can leverage for Pre-Purchase and Order Placement activities. They are :

1. Voice Assisted Shopping- Voice commerce facilitates shopping beyond just placing an order. It helps customers in the pre-transaction phase of shopping with a comparison of pricing, quality, brand, etc. The technology helps to identify products to buy while comparing alternatives.is about more than simply placing orders. Shopping includes awareness and consideration phases in the path-to-purchase and these pre-transaction steps are already seeing increased voice engagement.
2. Voice Assisted Purchases – Digital tools & technologies, mobile apps, websites are helping customers with voice-assisted purchases and find their favorite brands, products. They are seamlessly led to the payment phase for order confirmation. For example, Alexa has this capability for ordering through Amazon.com while Google Assistant through Google Express.

On-Premise or Cloud for your E-Commerce Business

So, if you are an online retailer, e-commerce business, you can opt for voice commerce technology to enhance your business returns. You need to check your business requirement while adopting a specific deployment model. While Cloud-based solutions offer simple integrations with varied channels, On-Premise solutions allow your business to customize the workflow. Whatever model you choose, voice commerce technology gives your customers a natural interface. You cannot imagine shopping now without virtual shopping assistants. You can contact a mobile & web app development company to find the right voice-technology solution for your business.

If you are looking to build a modern e-commerce application along with integrated voice commerce capability – Contact us today!

Do you know technology innovations that you see today live were once considered mere science fiction taking you to the fantasy world? Thanks to the advent of digital technologies like Data Science, Artificial Intelligence (AI), Machine learning (ML) which are transforming industries like never before. The healthcare industry is leveraging the power of digital in all its segments including pharmacy. The World’s Pharmacists Day is being celebrated on the 25^th of September,2021, and the theme is “Pharmacy – Always trusted for your health” says Sandra Leal, President, American Pharmacists Association (sources- FIP & LinkedIn). Surely, this trust cannot be attained without digital interventions and indomitable AI. Let’s see today, how AI is transforming the Pharmaceutical industry with its massive use-cases and invincible appeal!

Pharmacy – Always trusted for your health

– Sandra Leal

1. Discovery & Development of Drugs

AI-ML-led algorithmic and computational advancements have accelerated the process of drug discovery and its development. The technology is resulting in a huge time saving concerning drug approval and its market reach as well as in the reduction of animal testings during clinical trials. Combined with Data Science tools and techniques AI-powered biomarker ensures a drug’s sensitivity, and robustness as well as validates results using in-silico models.

2. Creating Personalized Medicine

AI-ML-powered personalized medicine is one of the striking use-cases of AI in the Pharmaceutical industry. The technology can process, integrate a huge amount of data (structured, unstructured) information from varied sources and this happens to be the key requirement for creating personalized medicine.  For this, the mining process of myriad levels of information at an individual scale, as well as at a global scale, is done that facilitates effective, efficient treatments at an individual level. AI’s role in this domain can be estimated from the fact that how a continuous analysis becomes possible for treatment progress which allows a timely adjustment of the dosing of drugs, thereby increasing its efficacy and safety parameters of the treatment itself!

3. Optimizing Operations

AI is helping automating tasks at the operational levels in the pharma industry. Smart automation of varied processes reduces time paving way for more complex tasks that are urgent. For instance, automation of a patient’s reminder, follow-ups is a big beneficial AI usage. AI-powered remote monitoring facilitates timely intervention during a treatment plan in case of drugs not working efficiently, thus addressing drug adherence issues properly on time.  Another striking AI use case under operational optimization is that to read, clean, and analyze structured/unstructured data like doctors’ notes, patients’  records, prescriptions, etc.  It’s a noteworthy point that continuous medical follow-ups generate a  large magnitude of personalized data that can be effectively harvested to procure desired outcomes.

4. Genome Editing Research

Genome editing can be understood as a method that allows scientists to change the DNA of several organisms that include animals, plants, and bacteria. Editing of  DNA can lead to certain changes in physical attributes such as the color of the eye, disease risk, etc. Artificial Intelligence or AI technology is increasing its foothold in this domain, too, as it is making genome editing initiatives accurate, safe as well as cheaper than before. Researchers are using AI for gene editing that helps them to minimize any potentially damaging effects(off-target effects). Several renowned research institutes like MIT, Broad Institute, are researching the advancement of AI-powered gene-editing technology and its further applications.

5. Diagnosing Diseases

AI-based ML algorithms and approaches help to overcome several intricate limitations rampant across the pharma sector. Limitations exist in the form of incomplete patients’ records, unfulfilled medical history, overlapping casual symptoms, etc. and these can be addressed using supervised, unsupervised AI-ML approaches. Unsupervised ML helps to change the manner diseases get classified. Harvesting AI ability for analyzing vast data sources, data types like clinical records, imaging, omics, biological events, etc. facilitates efficiency in the process overall.

Conclusion

AI is transforming the pharmaceutical industry through its immense capability of optimizing huge volumes of data and information, enhancing R&D, designing to development aspect of the entire drug life cycle. Undoubtedly, AI is leading the pharma industry to a new era of innovation addressing the core issues of declining ROI, cybersecurity, data regulations, transparency, etc. It is indeed simplifying the overall complex nature of the system itself while facilitating companies towards attaining business goals.

Are you into a pharmaceutical business and wondering how AI can boost your business returns? Contact our experts.

Have you ever recommended a brand, a company, or a product to your peers, friends, or family members? Have you personally experienced something good in your CX journey? That is where the role of customer service arrives. There are tools like Net Promoter Scores(NPS), invented by Bain & Company in 2003, that measure scores of customer loyalty on the scale of 0 to 10. However, NPS cannot derive actionable insights related to customer services and the likes. This is an exclusive domain dominated by the one and only AI (Artificial Intelligence). There exist multiple use cases of AI enhancing customer services and redefining customer service operations. In this age of AI-powered customer service analytics, application leaders and businesses have enough on their plates to leverage the potential of AI in customer services. Let’s see how!

1. Biometric Solutions

You have come across this powerful use-case that AI emanates. For authentication purposes, AI-enabled biometric solutions are helping industries towards customer services on a great level. There are typically two types of Biometric Solutions – Physical Biometric Solutions and Behavioural Biometric Solutions.  The former does the analysis of human body parts like that of a person’s face, fingerprints, iris, whereas, the latter analyzes behavioral patterns like voice tone, gait, emotions, etc. This way, AI-powered biometric solutions are acting as a secure way to authenticate identifications and access control.

2. Voice & Face Recognition

Well, just now you saw how biometric solutions help authenticate the identification process.AI is continuously contributing to machine’s biometric capabilities with add-ons like voice recognition. Also, it empowers face recognition capabilities by basic comparisons of facial features with respective images and videos lying in a database. For instance, an AI-powered algorithm analyzes the shape of the jaw, width between eyes and then finds a relevant match using specific data. And how AI does voice recognition? The AI-powered voice recognition tool uses data like voice pitch, tone and encodes them (after digitizing words captured from voice). This leads to forming a unique voiceprint of the very individual. This way, unique identification and authentication of the speaker are done by his voiceprint.

3. Predicting Intent

Based on web activities, AI-powered predictive analytics help predict the intent of customers. What your customer will do in the future can be foreseen via their signals like clicks, views, purchases, and varied customer behavior, which are analyzed by the AI-enabled applications, predicting intent thereafter. The AI-powered predictive solutions are leveraging the technology combining relevant data that ultimately help in determining the intent of customers.

4. Chatbots or Virtual Assistants

Chatbots or Virtual Assistants utilize AI-ML capabilities to serve customer queries through a  live chat messenger. These AI bots store endless, massive volumes of data and have real-time access to information while predicting customer behavior, too! AI-enabled chatbots and humans collaborate for optimizing interactions occurring with varied customers! Thus, conversational AI-ML chatbots are proving to be a great boon to businesses requiring help in the customer service domain.

5. Emotion-Analytics

AI-based-Emotion Analytics help in classifying customers’ moods based on which they are routed to the right agents. Take, for instance, if a customer is happy, the analytics route him to the sales team where he can be pitched for a certain product/service. Similarly, if a customer is angry, he will be directed to the customer retention team for appropriate guidance. Thus, AI-based Emotional Analytics helps to analyze a customer’s mood, his verbal/non-verbal communication for adequate pitching by the concerned teams.

6. NLP Text-Analytics

NLP means Natural Language Processing. It is AI-ML-powered speech and text recognition analytics that help in analyzing customers’  moods based on texts as well as speech.NLP applications help to derive analytical insights from multiple sources such as reviews, blogs, social media posts, varied forums. Companies can leverage this immense AI-ML-NLP capability in the customer service department, gaining valuable insights at the micro-level.

7. Predictive Personalization

Predictive personalization, predictive maintenance is other significant use cases of AI in the customer service area. AI-based predictive analytics help provide personalized recommendations to target customers and even can identify probable customers who seem to be at churn-risk, who can be proactively handled by the customer service department. This leads to an improving retention rate. This technology can work wonders via predictive maintenance jobs. AI-powered predictive analytics, predictive maintenance solutions can predict technical issues, maintenance issues proactively, before time. Precautions measures are taken thereby averting any serious issues to occur. For example, reducing breakdowns for delivery trucks, for elevators, reducing out-of-service time, optimizing network performances, etc.

8. Computer Vision for Object Recognition

Another AI-use case is an analysis of digital images, videos and automatically understanding of the contextual meaning. AI-powered Computer Vision technology processes and analyses objects, thereby allowing systems to recognize and classify them accurately. It reduces the workload of varied contact center agents. How? By automatically routing specific customer inquiries to chatbots or the so-called self-service channels.

9. Agents Training & Productivity

As a business owner or decision-maker at contact centers, you can utilize AI-powered call-center training tools for imparting advanced training to agents. You can manage to increase boost their efficiency, productivity by using varied tools, like Virtual Employee Assistants, (VEAs), call center training tools like gamification, etc. You can manage to reduce your agents’ onboarding time, ensuring their productivity from day one.

10. Optimization of CLV

CLV stands for Customer Lifetime Value. It is a valuable metric that is used to track the relationship value quotient of customers with your brand/company. AI-powered CLV helps you to identify your loyal customers, as well as you can find the underlying value quotient your customer carries for you. Sometimes, retaining existing customers fetches you a higher ROI than getting the new ones.

AI for Valuable Business Insights

Adopting AI to spot trends, fetching insights based on massive customer data is something you cannot ignore in today’s world.  These business insights become the base for the decision-making process in your company. AI-powered holistic solutions, customer analytics, all help in automating business intelligence, facilitating a wide range of business applications in your organization. AI leads towards huge cost-reduction, increased digital self-service effectiveness, as well as enhanced customer engagement.

How can AI-powered customer service analytics and other AI capabilities enhance your business potentials? Explore from our wide range of dedicated AI applications suitable for your business. Contact Us.

Do you know the global market value of AI is estimated to reach $267B by the year 2027? That’s an inspiration you can derive out of the digital technology that is creating a big spur in all the markets, across industries, throughout the galaxy. Yeah indeed, you can’t expect NASA to go to MARS without an AI, can you? So, imagine how your business can survive without involving AI leveraging its massive capabilities across functional areas! Applications of AI in modern marketing are something you need to ponder over. Because marketing is crucial for any business to reach target customers at the right time, with the right message, through the right channel. Let’s discuss applications of AI in modern marketing and how the technology is benefitting the marketing industry.

Importance of AI in Marketing

AI or Artificial Intelligence is expanding its tentacles beyond human competence in marketing. Digital technology is helping marketers create impact within budget involving cost-effective methods. Combining AI-enabled tools, analytics, and customer data, as a marketer you can anticipate what your customers want, and their next moves.

Using AI:

• You can know your market better
• You can create compelling content
• You can execute personalized, effective marketing campaigns
• You can get accurate insights on customers and the target market segments
• You can avail of smart marketing solutions based on the insights given, and this would lead to boosting profitable returns.

AI Applications In Marketing

1. Optimizing Product Prices and Placements

Setting Competitive Prices:  You can leverage  AI to know your competitors’ pricing data and optimize your pricing accordingly. Setting competitive prices increases the potential to maximize revenues.

Optimizing Physical  Placement of Products: AI-ML along with Big Data can be used to optimize online as well as offline product placements of your brand. AI-powered robots, images, videos, etc. help you in shelf-auditing and analysis, how much space your merchandising needs, and overall optimal use of the shelf space in an exact manner. Take an example of Lowe’s AI-powered robot. AI-based solutions help you to analyze shelf space and manage it appropriately based on images, and other related inputs.

Optimizing Digital Placement of Products: AI marketing tools can help your business to manage, improve all sorts of product information, modifying, updating related descriptions (about box, product, etc.)automatically. This helps in improving product appeal and discoverability. Also, AI-enabled Machine Vision enables customers in the visual search of their desired products. Image tagging leads to improve the chance of discovering related products and this is one of the ways, AI is empowering marketing in physical and digital eco-space.

2. Personalization of Strategies

AI-powered personalization of marketing strategies helps you to reach your target audience, the right customers through the right channels. Your customers will simply love to get the offers exclusively designed for them and that is possible through personalized marketing strategies. This further leads to increased customer satisfaction. AI-based recommendation systems, AI-ML-powered NLP chatbots, etc. help your marketing efforts reach goals. How? By leveraging customers’ data and reaching them back with specialized channels with personalized recommendations. Data means all the analog, digital interactions with your brand that happened across the channels viz., web, page views, email offers, online purchases, offline purchases, digital payment records, etc.

3. Optimizing Marketing Communication

AI-powered marketing tools help to create an optimized marketing communication that reaches your target customers at the right time with the right message and appropriate channels.AI tools help you to track customers’ behavior over varied devices, and ensure you reach them at the time on that device that they are presently available.

AI-Enabled Neuro Marketing: You can optimize your marketing content by leveraging neuroscience, biometric sensors to test your content and understands its impact on your target audience. To elaborate, how your content using neuroscience can influence emotions, the memory of patients. You can leverage this AI-Potential and try and test it before launching your product in the market.

Context-Based  Advertising: Marketing involves context to maximize the value of messages it conveys. Context-based or context-aware advertisings are a key to increase marketing efficiency as they ensure that the message that your brand conveys does resonate with the context. As a context-based marketing company, you can leverage the power of NLP, Machine Vision to comprehend the context where you are going to place your advertisements. You can consult an AI-Marketing expert to understand how this model can help your brand grow its market reach.

Leveraging Third-Party Data: If you want o to understand your target customers, existing customers, identify all the possible leads from varied external sources. Leveraging third-party data is a big thing to boost your marketing activities.

Omnichannel Optimization: you can optimize your marketing communication across all the channels, varied paid platforms. You can compare the impact of your strategies on different platforms.

Optimization of marketing communication involves channel-specific content generation is another area you can focus on using AI-powered tools:

• NLP based content marketing
• Mobile Marketing
• Email Marketing:
• Video Commerce
• Referral Campaigns for Loyalty Marketing

4. Marketing  Analytics

AI-based analytics help in connecting automatically all the marketing data and KPIs. AI analytics & tools enable you to identify your customer groups more accurately, efficiently manage varied campaigns, and trigger alerts leading to improve your marketing strategies. AI-powered marketing analytics, thus, allows you to discover your loyal customers, to retarget your customers based on their interests expressed on your products or services.  Some AI-enabled marketing analytics are:

• Platform- Specific Analytics
• PR-Analytics
• Social analytics

5. Leverage Customers Feedback

AI-ML helps to optimize social media channels, messages, and social posts, timing to post as well as the target audience. You can reach your customers at the right time just by seeing and analyzing their online habits!. And importantly, AI-enabled Computer Vision can help capture customers’ micro gestures, mimics, emotions helping you with the right message and feedback.

6. Marketing Campaigns

AI facilitates creative marketing campaigns and helps boost effective strategies across platforms. How can you apply AI to your marketing campaigns? The three ways you can do that:

• Predictive Analysis: AI analytics & tools in marketing helps in analyzing demographic information. It helps to identify and locate significant information about page views, bounce rates, time spent on a certain page, click-through rates, etc. AI helps you to devise a strategy that can work best for you.

• Targeting  & Segmenting Audience: AI-led ML algorithms are used to drive the target audience to your websites, applications and drive traffic. Recognizing specific content, specific users, allows you to devise marketing campaigns accordingly.

• Recommendation Chatbots:  AI chatbots help to attend to clients in different time zones to answer their queries in real-time. Especially, during a product launch, big sale, or just during any marketing campaign, these AI chatbots serve your purpose.

Final Thought

Artificial Intelligence (AI) is the magnificent digital technology that is redefining marketing in terms of its core functionalities as well as ­­­­­­­all-round effectiveness. Consumer behavior, the environment, playing a big role in restructuring marketing models along the lines of Digital and Phygital. Omnichannel presence demands AI intervention to tap the right audience at the right time at the right place. Digital Marketing, AI Marketing is the need of the hour, and it’s never too late if you haven’t started it yet!

How AI can help you achieve your marketing goals? Explore from our wide range of AI applications that are suitable for your marketing needs. Contact our Business Experts today for step to step guidance.

Do you know ‘Coronavirus’ topped the list of Google Searches, 2020? Yes, Google processes billions of searches every day, and not surprisingly, ‘Coronavirus’ turned out to be the most searched term on Google in the erstwhile 2020. Why? Because people cared for their life. When life becomes uncertain, people seek answers. This phase in humanity brings about a transition in the world of digital healthcare where telemedicine comes out to be a unanimous choice! Advancements in AI as a cutting edge technology, its applications in telemedicine happened years ago. However, with the onset of COVID-19, telemedicine is back in full swing. In layman’s language, it is a digital application that allows doctors to prescribe medications, treat patients through their screens.

Let’s see how AI transformative capabilities are helping the telemedicine industry the world over.

1. Digitization of Patient-Doctor Relationship

Artificial Intelligence (AI) in collaboration with Edge technology, has empowered the telemedicine industry to a greater level. With the help of AI, telemedicine is evolving patient care and healthcare experience through smooth accessibility. It helps in remote patient monitoring(RPM) or telemonitoring that gathers patients’ data from medical centers, hospitals, to keep a tab on their health conditions. Telemedicine has been a major factor in treating COVID-19 while curbing its speed at the same time. For instance, AI technology helping telemedicine for remote-patient monitoring, where doctors could track the current health status of high-risk patients, by using internet-connected at-home devices and mobile applications where two-way communication becomes feasible. This process minimizes the health risks for elderly patients or post-op patients or those suffering from chronic illness.AI enabled Telemedicine facilitates collecting data from varied connected devices and gives insights to doctors who then do adjustments in care and monitoring of compliances for severe patients like coronary patients. The latter need to maintain specific medication and lifestyle changes to make progress in their health respectively.

2. Enabling Doctors’ Collaboration

AI feeds on data and new AI applications come to the fore when more data pools come out of the telemedicine processes like remote-care, and so on. Moreover, AI-based telemedicine facilitates hospitals, healthcare institutions, and clinics, doctors to mutually collaborate in novel ways. This way, they manage to pool resources from each other at critical times. For example, Banner Health, one of the largest non-profit systems existing in the US, during the surge of COVID-19 patients, collaborated with Intel, as well as VeeMEd, a telehealth platform, and brought AI-powered telemedicine software solutions to more than one thousand in-room televisions throughout  Banner-Health’s twenty-eight facilities in the country. This collaboration helped specialists (from pulmonology, infectious diseases, cardiology, critical care, nephrology) in the facilities to attend to more patients without risking COVID transmission. Another big help had been that these specialists did not need to spend on expensive personal protective equipment like masks, gloves, and face shields and could preserve them for emergency needs. All thanks to AI-powered telemedicine that allowed(and allowing) consulting with patients on a remote basis.

3. HIT or the Health Information Technology

AI-powered telemedicine facilitates the collecting, storing, and managing of massive electronic data in varied healthcare systems. This AI capability is called Health Information Technology(HIT) in telemedicine terminology. For instance, several electronic health records, e-prescriptions, etc. help patients and doctors to meet their mutual goals towards coping with diseases like diabetes, flu, viral diseases, etc. All these data are processed using HIT. How does it work? AI algorithms in HIT facilitate retrieving, systemizing medical data in various healthcare institutions, hospitals. Artificial Intelligence(AI) is helping in the segment of health information system in the following two ways-

• NLP helps physicians, doctors, to categorize records of patients, varied healthcare policies systematically.
• AI-based Neural Networks, are hugely applied for storing a wide scale of medical data. Also, it protects these data from fraudulence and unethical activities.

4. Tele Diagnosing of Patients

AI-powered tele-diagnosis of patients is a clinical method that incorporates a remote-based diagnosing of patients located across geographical boundaries. The telemedicine approach of this kind proves to be very effective in the early diagnosis of deadly diseases like cancer. Here, AI helps patients in early diagnosis of cancer, at its nascent stage itself when it is curable. Another area in telemedicine where AI is helping a lot is that of Tele-Dermatology. Like, detecting Melanoma, a severe type of skin cancer, is possible by AI-based Convolutional Neural Networks.

AI Lets Genie Out of the Bottle

 AI technology is helping the telemedicine industry in varied ways, in varied virtual forms. Virtual Online Assistants, Natural Language Processing, and many more forms of AI are increasingly progressing in the market, bringing several novel ways of treating patients on a remote basis. There already exist some popular virtual online assistants, or the Chatbots like Babylon Health, OneRemission, Florence, and so on. As Steve Allen, the director of health solutions, Intel’s Health and Life Sciences group, says, “I think it’s fair to say that telemedicine helped stop the collapse of the health system here in the U.S. Now, it’s becoming recognized as valuable technology with real benefits to all parties.”

He continues, “the genie is out of the bottle.”

Interested to know more about AI in telemedicine and how you can leverage it in your business? Contact US.

Are you a travel lover? A travel vlogger? A globetrotter? Or, just a simple person who loves vacationing with family or friends, to take a break from routine life? What’s so common with you all? Well, a chorus could be – “How to beat the pandemic blues!” The very chorus that resonates the whole world today. Not even the President of United States is immune to this devil virus, CORONA virus. No doubt, everyone is wishing him a sooner recovery but how to recover from the massive losses incurred so far globally, in terms of life and property!?  Fingers crossed!

The pandemic due to COVID-19 has caused major disruptions in the global economy. Another recession, economy slowdown, rapid rise in unemployment, and what not! There’s been an abrupt halt in international travel, severely impacting the tourism industry. Greater chunks of government revenue, foreign exchange earnings, employment source, depend on tourism sector. Travel & tourism, being a vital lifeline for revenues worldwide, ironically, battling for survival! The industry is struggling to cope up the repercussions but as you all know, there is a silver lining to every dark cloud in the sky. The significant catch is the change in customer behavior that amounts to the overall revamping process of industry. Technology plays a pivotal role here, again.

Robotics Technology

Social distancing has become a new normal today and people are religiously following the DOs and DONTs under the Corona advisory. People are reluctant to travel and their perception of holidaying and recreation has totally upended, a complete halt. When humans fall, machines arise. The Travel & Tourism industry is shifting focus to recovery and deploying robots everywhere – airport, hotel, restaurants, tourist places, etc. The motto is   minimizing human-to-human contact and bolstering people’s confidence. But how?

The Robotics technology is propelling self-service methods, travel-agents use them for pre-screening process, text-based chatbots & robotic assistants in front desk are serving the needs of travelers thus reducing queue sizes. Right from acting as a concierge, to greeting guests and providing information from time to time, robots are seen all around in hotels, restaurants, airports.

For instance, if you happen to visit New Sheraton, Los Angeles, robots will enthrall you with their unique service. Wayfinder, the friendly robot will guide you to find out direction, say, steakhouse, swimming pool, room, wherever you want to go. The Luggage robot/Tug robot will carry your luggage duly locked for security reason, you just have to use a 4-digit code to unlock and get it to your room! Rom Service robot will bring food to your room, a genuine room service, and you can even give tips to them!

So, where did you get chance to break the protocol of social distancing? Robotics technology is all set to revive tourism the world over.

Virtual Reality

Have you planned your next trip? Because now you can experience locations on your itinerary right from your home using Virtual Reality tools. You can have an immersive experience by virtually travelling your hotels, restaurants, landmarks, and even the sightseeing activities! These 360 tours or VR tours you can experience via your smartphones or web browsers using In-Consumer gears. This way, you can plan your vacation, trips using technology without any human intervention. You are indeed using virtual tools to experience the real world!

Virtual & Contactless Payments

In the wake of pandemic, you’d definitely vouch for the contactless payment where you don’t need to carry cash, debit card or a credit card, rather your smart mobile phone is smart enough to do the payments for your travel. Yes, you are carrying a Mobile wallet with you. MPOS, P2P are a few digital payment modes that give you an entire seamless experience. No more frets!

Internet- of- Things (IoT)

The unprecedented constraints on aviation due to pandemic has led to a complete chaos in the travel & tourism sector. However, airlines are resuming operations while keeping safety measures intact. The Internet-of-Things technology has emerged as an exciting savior which calls for interconnecting daily devices via internet. IOT based HVAC systems combat airborne transmission of viruses in the airport thus protecting you from any probable infection.

Do you know how Abu-Dhabi International Airport is using motion based elevators where you can just wave your hand to point your destination floor? That makes you pretty safe because distance between you and your fellow passenger is being maintained.

Way-finding apps such as WISEFLY will alert you if you come close to any other person nearby, thus, helping you maintain social distance.

The robot Wayfinder that served you a while ago in New Sheraton, Los Angeles (courtesy the Robotics Technology paragraph above), did follow an IoT technology sensor based doors to lead you to your room.

Biometric-Recognition Technology

Again, in Dubai International Airport, ‘Smart Tunnel’ uses facial recognition as an identification tool. You get a single digital ID which can determine your unique identity, travel – detail & biometrics. Thus, you don’t have to carry physical documents, only one biometric travel token through all touch-points is what you require! Touchless technology is here to stay!

AI & Big Data

Connie is the AI-powered robot deployed by Hilton hotels. It uses Artificial Intelligence & Speech Recognition to speak to tourists seeking information. Then you have SAM, your intelligent travel – chatbot, guiding you every minute predicting weather or traffics or any sightseeing opportunities you should not miss! Thus, no need of a tourist guide.

Big Data & Predictive Analysis technology is helping the industry analyzing current business performance, viz. hotel business using Big Data for revenue management purpose to anticipate future demand levels.

According to a recent BCG- Consumer Sentiment Survey report (respondents from USA, Canada, France, Germany, UK, Italy, China) 54 per cent said they would prioritize social distancing as a major precaution while going on trips. Even United Nations’ World Tourism Organization has recently released a set of global guidelines to resume tourism and emphasized the role of technology as a major transforming tool for the industry. Thus, prioritizing people’s sentiments, the industry has to adopt technology as a major reviving weapon to resurrect itself, as well as restore tourists’ confidence to restart their journey to destinations that they had once dreamt of, before the global crisis started.

If you are a startup or company engaged into travel industry who would like to understand how to capitalize technology, Speak to us today!

Read Also – Top Mobile App Development Companies in India

By “natural language” we refer to a language used for daily communication by human beings; languages like English, Hindi or Portuguese. Natural Language contrasts to artificial languages such as programming languages and mathematical notations and it has evolved from generation to generation. It is not an easy task to pin down with explicit rules. The way we, humans, communicate with each other is Natural Language. Think about how much text you see each day: Signs, Menus, Email, SMS, Web Pages and the list is endless. Automated manipulation of natural language, like speech and text, by software is Natural Language Processing, or NLP. It helps machines learn to communicate with each other and with humans in a meaningful way. Several decades of research resulted in development of NLP, however, the current word2vec technology has brought in pathbreaking results. In medicine, SNOMED-CT aids the development of NLP by use of indices and their relationships. For example, with the term “hepatomegaly” in input data, machine can still recognize even if user inputs as “liver enlargement”. Classification of digital documents in a uniform fashion is made easy and possible by this method.

NLP – Advantages

Natural Language Processing or NLP as simple as counting word occurrences to compare different writing styles. NLP can also be as complex as “understanding” of complete human utterances to give useful responses to them. The precise requirements as well as the highly unambiguous structured voice commands make it tough to develop NLP applications.

Even though the development stage is little complex, using NLP in the applications has lots of advantages:

• Automatic summarization: It produces a readable summary of a part of the text.
• Co reference resolution: It determines which words refer to the same objects, out of the given sentence or larger portion of text.
• Discourse analysis: This includes several related tasks such as identifying the discourse structure of connected text.
• Better results all the way around: It is beyond keyword matching or text-oriented search; meaning-to-meaning search provides results that are correct according to the form of the input text, whereas NLP delivers applicable results as soon as your customer hits “search.” Understanding the intension of the customer.
• Search processing translates the intention of your customer: Your customers are human beings, which means they’re not 100 percent accurate in communication. They make spell errors; they may confuse brands with products and forget product or service details — It depends on how robust your on-site search is to fill the gap when these errors happen. NLP connects the dots to keep search unified, even in the scenarios like typos or abrupt information.
• More data extracted means more data for growth: Measuring what your customers intend to search is key in improving your business. Through NLP, you can learn about customer habits, preferences, and tendencies across your entire consumer base. This data can be re-applied across several phases of your business, from marketing to SEO, doing campaigns to sales and promotions and a lot more.
• Complex search options affects results: The ability to handle numerous variables in a single search means providing a collective result that’s suggestive of your customer’s end needs. Natural language processing looks at a broader picture, not just the user input keywords in a search, providing results that are the summation of their parts. Results that might be wrongly recognized by text-based searches or accidentally misplaced or missed out from keyword queries.
• Contextual understanding delivers answers: Today’s search engines are confining to Q&A boxes — customers ask questions and expect answers. In addition to the complicated search options afforded by NLP, your customers can raise questions freely and get to products they’re looking for. Question based searches calls out a huge challenge in your skill-set to serve customers who might not be using the technical keywords or main phrases in their search for a specific product.
  The above variables embedded in your search website contribute to fast hit of your e-commerce websites looking for to better serve their customers — and they can all be credited to natural language processing, which is as simple as human language!

Technologies Based On NLP

Technologies constructed on NLP are becoming increasingly widespread. For example, our phones that has the feature of predictive text and handwriting recognition; web search engines retrieves information locked up in unstructured text; machine translation reads and understands texts written in Chinese and re-read them in Spanish; text analysis assists us to detect sentiment in tweets and blogs.

By promising a bridge between human and machine, accessing stored information, natural language processing plays a vital role in the multilingual society.

Importance and Impacts of NLP in Our Life     

Natural language processing has many central implications on the ways that computers and humans network on our daily life: To name few, here are the few fields that we come across daily.

1- Mental Illness Analysis — Measure how countless linguistic features of conversations are connected with conversation outcomes. By applying models that are associated with better conversation outcomes as sequence-based conversation models, language model comparisons, message clustering, and psycholinguistics-inspired word frequency analyses, to discover actionable conversation strategies.

2- Mining electronic health records for mammography research — associating mammographic and pathologic results in clinical decision support using natural language processing and data mining methods.

3- NLP Algorithm and Asthma Ascertainment — Application of a Natural Language Processing Algorithm to Asthma Ascertainment through an Automated Chart Review

4 – Natural Language Processing for On-Site Search: If you have or use an e-commerce site, you must be very familiar with natural language processing (NLP) being used in Site Search. More than just another path, NLP has been identified as a powerhouse in the realm of on-site search and has brought in vast number of advantages packaged up only for those who focus on improving their business by improvising their site search capabilities.

If your e-commerce site isn’t using NLP to power customers’ on-site searches, you contact our developers at Fusion Informatics.

You can reach out to us at sales@fusioninformatics.com or you can call us   +91 63610 54076. We’re sure we can take to the next level.

In this digital era, the terms like Virtual Reality, Augmented Reality, Artificial Intelligence, and Machine Learning are thrown in more often. These four two letter acronyms are the futuristic technologies that are being used in the development of lots of tech products. Most of us don’t know the real meaning of these terms. Though, all four have brought some huge changes in the world of technology, the question “Which Technology can pave the way for the future” has been nagging our minds for a long time. Hope this article gives you a clear idea of how these technologies work and aid you understand their contribution to various fields.

The ‘big four’ are:

• AI – Artificial Intelligence
• ML – Machine Learning
• AR – Augmented Reality
• VR – Virtual Reality

Artificial Intelligence (AI)

Let us discuss about one of the revolutionary world changing term Artificial Intelligence. The term coined by John McCarthy is considered the father of AI  in 1955. In fact, AI is the big umbrella under which machine learning and deep learning which are being used for various applications in the market. Deep learning is the latest innovation in AI. AI has a gigantic effect on your life, whether you’re aware of it or not, and its influence is likely to grow in the coming years.

What Are The Uses of AI?

Today AI is ubiquitous, used to recommend what you should buy next online, to recognize your voice and understand what you say to virtual assistants such as Amazon’s Alexa and Apple’s Siri, to recognise who and what is in a photo, to spot spam, or detect credit card fraud etc.

A website like Amazon.com uses AI to suggest products that you could like. Facebook tells you whom you could know and want to be friends with. iOS’s Siri, and Windows Mobiles’ Cortana are all intelligent digital personal assistants which help us to find handy information when you ask for it using your voice; you can say “Where’s the nearest Coffee shop?”, “What’s on my schedule today?”, “Remind me to call John at seven o’clock,” and the assistant will respond by getting information, communicating information from your phone, or sending commands to other apps. Siri completes your tasks. Google lists search results based on your location. At the start of this year, the Washington Post reported  an algorithm that was developed by Google to potentially let self-driving cars learn to drive in the same way that humans do, through experience. These programs are all active applications of AI.

Microsoft says that Cortana “continually learns about its user” and that it will ultimately develop the skill to anticipate users’ needs. Virtual personal assistants process an enormous amount of data from a variety of sources to learn about users and be more active in helping them consolidate and track their information.

Many smart home devices now include the ability to learn your behaviour patterns and help you save money by adjusting the settings on your thermostat or other appliances in an effort to increase convenience and save energy. AI is everywhere, and it’s making a huge difference in our lives every day.

Machine Learning (ML)

Now let’s see “what is Machine Learning?”, “The use of Machine leaning” and “how does it work in our day today life?”.

Machine learning is a similar concept of AI. The term machine learning was coined by Arthur Samuel in 1959. Machine Learning is a division of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Machine learning makes use of algorithms to build analytical models, assisting computers “learn” from data.

Detection of network intruders working towards a data breach, email filtering, optical character recognition,  and computer vision are all ML applications.  Machine learning is so ubiquitous today. Many researchers also think that it is the best way to make progress towards human-level AI.

AI, as the idea that machines can act intelligently, is an extensive concept. Machine learning is an idea that machines should be able to learn themselves to get access to enough data. This might sound like the territory of geeks, but it could also be a way to deliver personalised recommendations and solutions in the future.

Augmented Reality (AR) & Virtual Reality

Tim Cook, CEO, Apple said “I’m excited about Augmented Reality because unlike Virtual Reality which closes the world out, AR allows individuals to be present in the world but hopefully allows an improvement on what’s happening presently… That has resonance.”

AR and VR are very popular in these centuries. Bu the terms can be confusing. Sometimes few think AR and VR are but same.

Let us discuss about importance of AR and VR as well as how does they influenced our day to day life? Augmented reality (AR) is a technology that widens our physical world, merging layers of digital information with the user’s experience in real time. It is Boeing researcher Thomas Caudell who first coined the term Augmented Reality in 1990.

Virtual Reality (VR), by use of computer modelling and simulation, connects the user with an artificial three-dimensional (3-D) visual. In 1987, Jaron Lanier used the term ‘Virtual reality’ for the first time.

How do Augmented and Virtual Realities Differ? Virtual reality provides a digital rebirth of a real-life pulses, while augmented reality delivers virtual elements as a connect to the real world. Augmented reality is being used more and more in mobile devices such as laptops, smart phones, and tablets to change how the real world and digital images, graphics intersect and interact. Whereas in Virtual Reality is usually brought to the user through a head-mounted, or hand-held controller. This equipment establishes a connect between people and virtual reality, allows both to control and navigate their actions in an environment meant to simulate the real-time world.

Let us see, what are the main similarities between AR and VR? In terms of technology, they each exist to serve the user with an enhanced or enriched experience.

With virtual reality, you can swim with sharks. And with augmented reality, you feel a shark coming out of your screen.

When more freedom and promises are made possible for marketers because it does not need to be a head-mounted display.

Virtual Reality and Augmented Reality are the key examples of experiences and interactions enabled by a deep immersion into a simulated land for entertainment and play, or to add a new approach of interaction between digital devices and the real world.