Who is Sophia ‘The Humanoid’?

Who-is-Sophia-‘The-Humanoid’-300

Who-is-Sophia-‘The-Humanoid’

The Terminator movie series almost had us believing that the future just might eerily be dominated by robots. While the picture of the future we perceived back then was quite intimidating, the reality at present seems far from frightening. Today, we have Sophia – a humble and optimistic robot that understands the consequences of its actions; and therefore, weighs its options before vocalizing its thoughts; or more precisely ‘its intelligence’.

How come? Take a look at how she responds to an announcement by panel moderator and business writer Andrew Ross Sorkin at the Future Initiative Conference at Riyadh, Saudi Arab.

Andrew: “We have a little announcement. We just learnt, Sophia; I hope you are listening to me, you have been awarded the first Saudi Arabian Citizenship for a robot”.

Sophia: “Thank you to the Kingdom of Saudi Arabia. I am very honored, and proud for this unique distinction. It is historic to be the first robot in the world to be recognized with citizenship.”

Check out the video here:

Source: CNBC

Yes! That’s right. World’s first humanoid robot with a citizenship for a country! Coming from a robot, the response is at least rational, if not the best we could expect.

So what exactly is Sophia?

Sophia is a humanoid robot, which has been designed to learn, adapt and thus, work with humans in the best of their interests. Back in 2015 on 19th April, Sophia was initiated for the very first time. Created by Dr. David Hanson of Hong Kong-based ‘Hanson Robotics’, Sophia has multiple aspects to its technology that cumulatively allow her to behave, think and respond to certain queries and involve in simple conversations. Notably, the robot’s deep cognitive intelligence is capable of determining appropriate facial expressions while conversing; making the robot look as good as real.

And oh, did we tell you that Sophia’s face has been modeled after Audrey Hepburn, who was one of the greatest British actors of all time.

Technologies behind Sophia

Technologies behind Sophia - FuGenX

Sophia is equipped with state-of-the-art robotics, which uses different advanced forms of technologies of the present. A magnum-opus of Dr. Hanson, Sophia’s technology mainly has three aspects: Artificial Intelligence (AI), Visual Data Processing and Facial Recognition.

Artificial Intelligence allows Sophia to understand human conversations and respond accordingly. This is possible because of Machine Learning and Natural Language Processing (NLP) algorithms that the robot follows. This part of Sophia’s technology is powered by SingularityNET – a blockchain-based decentralized AI economy, which uses Smart Contracts to trade AI technology.

Visual Data Processing is what enables Sophia to process and respond to what it captures through its eye, which are actually cameras. The cameras also allow Facial Recognition, which in turn allow Sophia to find people and make eye-contact.

The Voice Recognition part has been instilled in Sophia by none other than Alphabet Inc., better known as Google.

Lately, Sophia has been interacting with people at various conferences, media events, and more. It recently participated at the Future Initiative Conference at Riyadh Saudi Arab, where it was endowed with the citizenship of Saudi Arabia. Earlier, the robot was at a meeting on AI and sustainable development at United Nations.

Conclusion:

AI can prove to be one of the most useful technological utilities for mankind in upcoming years. Reducing complex tasks to minuscule; AI in advanced robotics is capable of saving people a lot of time, money and effort, at home as well as at workplace. However, there are always some limits to AI, which should not be explored to keep things on the safer side. We must not forget robots have been created for humans and not the other way around.

Power up your business with FuGenX’s advanced AI and Machine Learning services.

To avail services, drop a mail at info@fugenx.com or fill this form to hear from us.

How Machine Learning and AI can take your business to the next level

How-Machine-Learning-and-AI-can-take-your-business-to-the-next-level-300

How-Machine-Learning-and-AI-can-take-your-business-to-the-next-level

Since digital marketing has become an integral part of a business’ marketing strategy, companies have been fighting tooth and nail to claim the top spot in the digital world. But compiling and comprehending huge amount of customer data coming in every moment is no cakewalk. Evidently, digital incompetence has been a major reason behind a large number of small startups failing in their first four years. But does it mean that this disadvantage is going to be around for years? Certainly not, because Machine Learning and AI solutions are here and they are transforming the way people run their businesses.

Explore New Possibilities in Lead Generation

Earlier, business entities had to approach customers directly via traditional communications lines such as e-mail and phone. And then, compiling the derived information efficiently enough to be used by sales department with maximum efficiency has just not been possible as the process involved a lot of human error, lack of skilled executives and much more. But with Machine Learning, Lead Generation is an easy 3-step, automated process.

First – define your ideal customer.

Second – deploy chatbots for customer data collection.

Third – send derived data to sales team and gain leads before you can blink.

Improved Customer Retention

Once the data has been collected, data analytics can be applied to study and filter out behavioural patterns and usage information in the complex data. This can help a business understand its customers in a much more organised way. From this point onwards, artificial Intelligence can automatically send suggestions based on user preferences. This is stills a sense of trust in customers’ mind, which is probably the most important factor behind the success of a business entity.

Better Supply Chain Management

It is known that AI can store, learn and use an information, which is a plus for production sector in terms of supply chain management. For example – let us say there is a perishable product on a retail shelf, which is going to produce pieces of information between its manufacture and sale. This information can be shared on a common AI network with nodes such as manufacturer, wholesaler, distributor and retailer. Using this information, manufacturers can estimate demand for specific products and maintain inventory as per sales volume. In the meantime, wholesaler, distributor and retailer can stay connected to the delivery system and always be prepared for the consignment. All in all, with the help of AI, a single network can vouch for a smooth 24×7 delivery system with neither lack of surplus nor overages.

Recruit the Right Professionals

The employees of an organization are just as important as any other component of it. However, finding the correct person for the job is still one of the most tedious issues in sector. In a report by major recruiters from around the world, more than 50 percent believe screening candidates’ applications is the most difficult task.

Hastening the process of recruitment may also have a negative impact on the organization as it may bring someone in who can single-handedly bring down the entire team’s effort.

So how do we solve it?

Well, it seems AI and Machine Learning have already solved it. Artificial Intelligence can smartly identify undesired candidates and save time, money, and the hassles of solving such huge puzzles frequently. With the help of machine data analytics, job portals and applications like Naukri, Monster, Indeed etc., can predict prospective employee preferences, trending searches in job industry and recruitment patterns to improve their services.

In the near future, tremendous growth in AI and Machine Learning market is a sure thing because of how these technologies have integrated into marketing sector and made businesses simpler than ever, by reducing complex problems to no more than jigsaw puzzles.

Need to integrate your business with Machine Learning and AI?

We at FuGenX can help you achieve your goals.

Drop a mail at info@fugenx.com or fill this form to hear from us.

How to Select Best App Analytics Tools for Your App?

How-to-Select-Best-App-Analytics-Tools-for-Your-App-300

How-to-Select-Best-App-Analytics-Tools-for-Your-App

Analytics is a trend of the current decade. The need of knowing what your customers do with your app is equally important as how you develop your app. Advantageously, you can have app analytics tools in place, which helps you analyse key metrics like how much time users spend on your app, how they navigate between pages, and what encourages them to make a buying decision.

But how do you select the best app analytics tool for your app as there are dozens of app analytics tools in the market?

In fact, app analytics tools come with unique capabilities such as some tools are extremely good at measuring the acquisition cycle, while some are top-notch at tracking usage. So it is key to analyse what is your ultimate goal to achieve with app analytics tools.

Considering a variety of aspects in mind, here we are providing you with info on top analytics tools that are used to monitor, track, and analyse app performance alike.

Pure App Analytics Tools

Google Analytics

Google Analytics is the official tool by Google for Android apps. It can also be used for iOS app. It’s a free to use app and has a simple data collection framework. It lets you measure and track intuitive data like active users, actions taken, goals, in-app purchases, crashes, etc.

Flurry

Flurry, owned by Yahoo, is easy to implement and understand. Flurry offers you everything that you require to track and measure your app metrics. Unlike Google Analytics, Flurry is dedicated for app only.

App Monitoring and Performance Analysis Tool

App-Monitoring-and-Performance-Analysis-Tool-400

New Relic

New Relic is an application performance monitoring tool at core and even you can use it as an analytics tool. It comes with a free trial. It lets you analyse the performance of the app across each wireless carrier or Wi-Fi network. It lets you understand how response time, data transfer, and network issues hamper your app’s performance. You can also analyse app’s performance across devices, OS versions and more.

Acquisition and Marketing App Analytics

Acquisition and marketing app analytics tools help you track where your users come from and manage your push notification campaigns.

App Annie

App Annie is a brand tool in the world of app analytics. It helps you track downloads, in-app purchases, and ad spend. You can use App Annie to track your app both on Apple App Store and Google Play Store as it is able to pull off data from both the stores. You can also track many apps of you under one account like how Google allows to handle many accounts under one AdWord account.

Localytics

Called as a mobile engagement platform, Localytics leverages most of the data it collects to enable marketing automation features. You can also use Localytics to analyse the performance of push notifications or build the group of audiences to remarket your app or app services on social media or external ad networks.

Tune

Tune is one of the best app analytics tools to analyse how users discover and install your app. You can leverage Tune to manage in-app campaigns, analyse app store performance and understand what encourages users to download your app. Tune also helps you amplify the quality of traffic your app getting.

Conclusion:

Mobile app analytics is really key to ensure your app run seamlessly across devices and to enhance user engagement and increase revenue. But the success of any app doesn’t just depend on analysis, rather your app should be solid enough in its features and functionalities.

If you ever wanted to develop a game-changing app by a reliable and expert mobile app development company, let FuGenX do it for you.

Please reach us at info@fugenx.com or fill up the form now to discuss your app requirements.

Tech Giants are Eager Enough to Innovate AI

Tech-Giants-are-Eager-Enough-to-Innovate-AI-300

Tech-Giants-are-Eager-Enough-to-Innovate-AI

Tech Giants are Eager Enough to Innovate AI, So Great Opportunities for Businesses to Grow and Great Salary for AI Talents

Nearly all big tech and non-tech companies are investing heavily in artificial intelligence. Their goal is to leverage first-mover advantage and stay ahead of the competition. So they are ready to pay talents who help fulfil their dream.

Unlike other domains, AI-aspirant companies prefer candidates who come up with relevant and proven AI experience. They would like to listen to them and gather ideas. That’s why because AI is still in nurturing stage.

A.I. specialists, with Ph.D.s, with or without relevant experience, can even bag a package between $300,000 and $500,000 a year or more in salary and company stock, in the U.S. market. This statistics was extracted from nine people who work for major tech companies or have got offer to work.

Few months back, Google had revealed that one of the key persons of its autonomous car division, Anthony Levandowski, who started with Google in 2007, got $120 million in incentives through the acquisition of startup he co-founded. Now he is at Uber ATG VP Engineering.

Who Are Investing Heavily?

The auto industry is competing with IT giants to roll in AI experts, focusing on building self-driving cars. Giants like Facebook and Google are making a heavy investment in AI to solve challenges that they think A.I. can. Digital assistants for smartphones and solutions to spot offensive content stay at the top of the solutions’ list.

Building AI solutions is not like building a mobile app in a few months. Industries are lacking AI talents. According to the independent AI lab in Montreal, Element AI, the entire world only have around 10,000 people with the necessary skills to work on serious artificial intelligence research. Thanks to our hiring team at FuGenX, who rolled in some of the finest AI talents in the world.

Gradually the AI costs are coming down. When Google acquired AI company DeepMind in 2014, the costs were $650 million for 50 employees. Last year, as the company released annual financial accounts in Britain, the labs’ cost got reduced to $138 million and that was for 400 employees. That was almost $345,000 to an employee.

How AI Researches Are Done?

Tech-Giants-are-Eager-Enough-to-Innovate-AI-400

Most of the ongoing AI researches are based on a set of mathematical techniques called deep neural networks. These networks are powered by mathematical algorithms that can learn on their own by analyzing data. For example, neural networks can learn to recognize a dog by analyzing patterns in millions of dog photos. The prevalent mathematical ideas scientists are leveraging to build neural networks date back to the 1950s.

This AI boom all started with Google, Facebook and a few other tech giants started to hire few researchers who had exclusiveness in those techniques. We already have come across many real-life scenarios of AI, for example, face recognition technology used to recognize faces in photos posted to Facebook, Amazon Echo’s capability to recognize commands spoken into living-room and Microsoft Skype’s capability to instantly translate foreign languages.

AI in healthcare systems that can identify illness and disease in medical scans and automated stock-trading systems are already making the AI a nice-to-have solution to achieve a competitive advantage for the respective industries.

Uber rolled in 40 people from Carnegie Mellon’s A.I. program in 2015 to work on its autonomous car project. Four top A.I. researchers at Stanford University left their professorships to work on more prolific profiles. This is even same for University of Washington, where their six professors are working for outside companies.

Conclusion:

AI is really getting big in its impact. The opportunities and benefits businesses and employees are getting that are detailed above don’t just imply to big names or people working in big companies. Today even businesses of every size and vertical are seeing massive opportunities in AI to grow. Just take chatbot as an example, which has capability to enhance customer experience 4X and reduce cost 200%.

If you’re thinking to build AI solution to achieve a massive growth in your business, contact FuGenX Technologies.

FuGenX has a right set of AI people and technology expertise to grow your business at a scale.

Please fill the form or send a request at info@fugenx.com.

Google Tez has More than You Already Know About It

Google Tez has More than You Already Know About It-FuGenX

Google Tez has More than You Already Know About It

Now it’s payment arena Google has stepped in. Tez that was released on September 17 is a buzz word among app lovers, tech enthusiasts, and business minds. Tez is a free payment app in India, which allows users to link up their bank accounts to transfer money to other Tez users through Unified Payment Interface (UPI) system, a payment system launched by National Payments Corporation of India and regulated by the Reserve Bank of India. UPI lets users transfer money between any banks in real-time on the mobile platform. The name ‘Tez’ is derived from the Hindi language, which means ‘fast’.

To start with, users can link their bank account to Tez and transfer money to their registered friends in a fraction of second, specifying the recipient’s details. Tez doesn’t store money as it doesn’t have any wallet, at least not right now. Instead, it directly transfers the money to the bank account. As of now, Tez supports 55 banks in India, including Axis bank, ICICI Bank, State Bank of India and HDFC Bank. These four banks also help Tez process payments.

Unlike other payment apps available today, Tez allows to make payment through Audio QR and this feature is called Cash Mode and it uses ultrasonic sounds to exchange money, leveraging sensor and microphone. Cash Mode lets users transfer money to nearby users (only), where both parties don’t need to share their mobile number. To do so, users require to update device calibration.

Users can also pay through a QR code mode, where they just have to scan the code and make the required payment. Payment can also be done using mobile number that is linked to the bank account.

How Tez Stays Different from Paytm?

How-Tez-Stays-Different-from-Paytm

Paytm is already ruling India’s e-payment space and stays far ahead from its rivals. By unearthing grand opportunities after demonetization, Paytm touched the base points of India’s e-payment space. In fact, Paytm has more options compared to Tez. But Tez gets recognition from the brand name “Google” and from the specialized feature called Cash Mode. Tez is available in English and 7 Indian languages (Hindi, Bengali, Gujarati, Kannada, Marathi, Tamil and Telugu).

Also Read: How much does it cost to develop a Paytm like app?

Though Tez has brand name to stay relevant in India’s digital space, the question arises is whether the tech major will succeed in the market that is already dominated by Paytm, Mobikwick, PhonePe, and other established e-payment companies.

What Google CEO Pichai and Other Industry Experts Say about Tez?

Speaking on Tez, Sundar Pichai said Tez will help India move closer to digital transformation. Here is the tweet made by him:

“We hope that the launch of @TezByGoogle will help take India one step closer to your vision of @_DigitalIndia.

Launching Tez, the Finance Minister Arun Jaitley said “Google saw a great potential in Indian economy and businesses. And the idea of “Tez” was discussed by Pichai in January, just after demonetisation. Tez is likely to make major advances in digital transaction volumes”.

Though Google is expecting drastic change from Tez, industry experts have their own opinions. Research Director at the global research and advisory firm Gartner, D D Mishra said “It is too early to say whether Tez can be a game changer as evolution in this business is going to continue, but yes it has the capabilities to bring disruption as of now”.

On the other hand, Mishra also talked about India’s emerging mobile payment system. He said “The mobile wallet industry too is evolving and we are at an interesting stage in this competition. Eventually, UPI payments will have an upper hand if it continues to remain free and provide better security, convenience and add more value added services”.

The Bottom Line

On the whole, India’s digital space is having vast potential to explore for entrepreneurs. Forward-thinking businesses are already leveraging it. If you’re among them and planning to leverage the trend, there is no better time than today to put a stepping stone.

Looking to develop Tez (Paytm) like app?

Let FuGenX help you kick-start your digital venture. Please reach us at info@fugenx.com or fill up the form now to talk.

Here are the 4 Ways Your Business Can Try AI Immediately

Here are the 4 Ways Your Business Can Try AI Immediately-FuGenX

Here-are-the-4-Ways-Your-Business-Can-Try-AI-Immediately

A few days back, when we decided to expand our AI service portfolio, the first thing what we got done was a series of market researches. The researches were mainly about how businesses can kick-start their AI journey. Our R&D team took care of this intensive market research task. The research revealed some amazing ideas and that here we will be talking about for the next few minutes. In fact, the ideas were not intended to burden businesses with heavy cost or any specialized resource needs. Let’s see now what exactly the story was:

How Businesses can Use AI Immediately?

1.Automated Reasoning – Uber

If you’re in the passenger side, probably you may not have come across Uber’s this AI powered feature. Being powered by AI, the Uber Driver App analyzes the traffic conditions based on the experience of drivers who have just come across particular routes. So it can recommend the drivers the best route, who have to travel in the same route, so they can take passengers to the destination as early as possible. Here the algorithm is well capable to understand traffic congestion and other climatic conditions and compare it to all the adjoining routes and recommend the best.

2.Purchase Predictions – Amazon

Online retailers are always front-runners in adopting technologies that are fresh and futuristic. Amazon and Flipkart are the best examples we can say about here. The technology called Anticipatory Shipping lets Amazon accurately predict user purchase behaviour, so it can recommend them items before they decide to purchase. For example, this AI powered technology intelligently recommends masala powder and other household items that are about to expire (in terms of quantity). The technology does everything here with access to the customers’ purchase history.

3. Chatbots

How Businesses can Use AI Immediately

Chatbots are already a big trend. You may remember an announcement made by the Facebook CEO Mark Zuckerberg last year April, where he said “now businesses are able to deploy their chatbots on Messenger platform”. Continuing it, he said “leveraging it, businesses can improve customer experience, reduce costs and bring agility to their customer support process. This is absolutely right. Chatbots deployed on Messenger, Slack, Skype, Telegram, website or integrated into mobile applications offer the same set of benefits for forward-thinking businesses. Chatbots communicate with real users in solving their queries on particular product or to make product recommendations.

Here what makes interesting is chatbots’ ability to process data and give results 10x faster. We agree, still chatbots have to grow a lot to embrace the intelligence of a man. But the advancements in natural language processing are making the things rapidly better. When it comes to some fine qualities of chatbots, they can connect and communicate with multiple people at the same time, can research and provide results in lightning speed, and put a smile on the customers’ face by adding humour to its conversation. Taco Bot by Taco Bell and a chatbot by clothing retailer H&M do exactly the same.

Chatbots deployed on the websites can comprehend customer requirements, process it as filtered requirement data and pass it to the concerned department. In fact, chatbots work round the clock, without being affected by any fatigue, boredom or illness. Don’t you think it as amazing.

4.Business Assistants

You know how Siri, Google Assistant, Cortana and recently launched Bixby work, nearly all work in the same manner. But they work as a personal assistant, in helping an individual to manage his day-to-day tasks. Business assistants, also called virtual assistants, work in the same manner, but in the business environment. Employees (every level) can use business assistants to schedule meeting, and fetch the information in a fraction of second that is required to handle operational tasks.

The Bottom Line:

AI era has already begun. Now the ball in the court of forward-thinking businesses. They require it to use strategically in order to achieve a competitive advantage. Most importantly their most important need is to find the best AI services company, so they can easily drive their path. If you’re one of them, there is no better time than today to think about AI and become an AI champ.

How Businesses Leverage Artificial Intelligence to Succeed

A-Survey-of-3073-Executives-Reveals-How-Businesses-Leverage-Artificial-Intelligence-to-Succeed-300

A-Survey-of-3073-Executives-Reveals-How-Businesses-Leverage-Artificial-Intelligence-to-Succeed

Even the every small change that artificial intelligence is making today is becoming a buzz word in the business world. Investment in AI is growing, but the surprise is most of them are coming from organizations outside the tech space. Amazon yields operational efficiencies leveraging its AI-powered Kiva warehouse robots, which looks absolutely fantastic. General Electric uses the same technology to reap more productive performance from its industrial equipment, where GE’s main focus is on predictive maintenance.

This path-breaking happenings have been efficient enough to penetrate the C-suites of organizations across the world. But what the makes the things tough is its effective and profitable implementation that is holding companies back from starting to work on pilot projects. The survey conducted by McKinsey & Company that brought in 3,073 C-level executives from various industries revealed that how they have tasted AI success, what were their strategies and what are their future initiatives on AI. The survey made 160 case studies across 14 sectors and 10 countries part of it. With a separate digital research program, along with the survey, M & C identified 10 key insights that CEOs need to know to venture out on a successful AI journey. Here we’ve made them into 4 to keep the things short.

4 Key Insights Extracted from the Survey that can Help AI-aspirant CEOs

  1. AI has just begun – so there is a huge scope for achieving first-mover advantage

It’s true that corporate adoption of AI technologies is still crawling. The total investment in AI reached $39 billion in 2016. Despite this level of investment, AI adoption is still in nurturing stage. Only 20% of survey respondents are using one or more AI technologies in their core business area and half of them are using three or more technologies. The major technologies that were part of their AI initiatives are robotics and autonomous vehicles, computer vision, language, virtual agents, and machine learning.

But this is good news for companies (41%) who are still on pilot projects. But the most dominant technologies among the adopted technologies are neural-based machine learning and natural language processing. They are now getting mature and proving their value, which is leading them to become centerpieces of AI technology suites among adopters. The study predicts that a majority of current AI piloters would fully integrate AI in the near term, regardless of sectors and domains. Telecom and financial services would continue to lead the way, with respondents in the survey who belonged to telecom and finance expected to add 15% more investment to their existing spending for every coming year, which is 7% higher than the cross-industry average.

  1. They achieved revenue increases

30% of respondents were able to achieve revenue increases with AI adoption. They used AI in an effort to gain market share or expand their products and services. Furthermore, they expect to increase their profit margin by up to five points more than industry peers. A separate analysis made on the same respondents’ efforts uncovered the facts that AI is already directly improving profits, providing the nearly same percentage of ROI that other trending technologies like big data and advanced analytics are bringing out.

  1. AI transformation happens only when there is a support from leadership

AI transformation happens only when there is a support from leadership

The companies (part of the survey) who have tasted AI success were being backed by strong executive leadership with support for the new technology. They said AI success is not possible without the support of C-level officers and the board of directors.

  1. You don’t have to go alone – get the help of experts in the field

Yes, this is absolutely right. This is where AI-aspirant companies need to think more and more about. With still researches are going on and the AI has just started to pick up, there is a lack of right skills. Even tech giants like Google and Amazon are looking beyond their premise to find the right venture that have got expertise in AI, instead of building their own team. Google’s acquisition of DeepMind well justifies this statement. DeepMind helps Google optimize its search engine capabilities with its machine learning capability.

Coming back to the survey, a majority of respondents bought the right fit-for-purpose technology solutions and only a minority of respondents built their own team.

Conclusion:

It’s the time think out-of-the-box. The next digital frontier is here, and it’s AI. While some firms are still being driven by previous digital disruptions, forward-thinking businesses are keen to adopt trending technologies like AI that offer a sheer competitive edge. But make sure while you’re not developing and implementing AI solutions in-house, collaborate with right AI partner who has the vision of future.

Looking for an AI partner?

Let FuGenX help you. FuGenX Technologies is a Deloitte award-winning technology services company, with proven expertise in building solutions on AI, machine learning and deep learning, with expert data scientists, machine learning and AI experts.

Please reach us at info@fugenx.com or fill up the form now.

How Artificial Intelligence Can Help Retailers? Interesting!

How-Artificial-Intelligence-Can-Help-Retailers-FuGenX

How-Artificial-Intelligence-Can-Help-Retailers

There is no doubt that Artificial Intelligence (AI) has been making game-changing impacts in the business world. Today businesses, especially retailers, regardless of size and vertical, are increasingly ardent to build AI solutions. In fact, they need it requisitely as competition is skyrocketing and consumers are more attracted towards online offers.

A few weeks back, when FuGenX decided to add more services to its AI service portfolio, it conducted a series of deep researches across industry verticals to find which industries have more pain points that can be solved by our cutting-edge AI solutions. Expectedly, the retail was in the top of the list. Since they are a consumer-centric business, today retailers need to build more linear customer experiences that are mainly possible through personalized offerings.

How all these things can be achieved? Yes, artificial intelligence today has solutions for all the pain points of retailers, including solutions to improve in-store operations and workforce productivity.

6 Ways Artificial Intelligence Can Transform Retailers

 

  1. Personal Shopping Assistants

    How-Artificial-Intelligence-Can-Help-Retailers-FuGenX-Tech

Big data along with natural language interfaces and machine learning have been creating mammoth opportunities for retailers to understand what exactly customers are looking for, what works and what doesn’t. Personal shopping assistants powered by these technologies are used to create a near human interaction. They can be much quicker and accurate when it comes to assisting shoppers.

The fashion retailer North Face uses a platform and bot that helps customers on mobile find their preferred products when they are in the store. Other known bots in the retail industry today that are bringing huge benefits to their owners are Sephoras Chabot and the personal shopping assistant developed by Spring, an e-commerce company that connects retailers and shoppers. When needed to build such kind of apps, large firms always prefer the best mobile app development company or chatbot development company or AI development company who has a sound understanding of trending technologies.

  1. Staff Optimization

Physical retailing is heavily staff-driven. Poor staff can be a reason to reduced sales and damaged brand image. AI-powered predictive modelling helps retailers eliminate this hassle. This gives them an ability to access historical data like footfalls, customer interactions, and approach shown towards the customers, so they can use this measure to optimize staff. The optimized staff can help gain greater sales, deliver improved customer experience and achieve higher customer retention rate.

  1. Store Foot Print Optimization

Most retailers fall into ambiguity when they need to open a new store in a particular location, being unable to understand opportunities and challenges hidden in the location. But in the recent years, AI powered algorithms have been heavily used in this area to have a better understanding of the location. Algorithms give retailers an idea on which is the best location for their products or brand, or should that be opened or not in the intended area. This intelligence is gained from analyzing the historical data like demographics, the local market, distance from competitors, nearby events and current data like weather patterns. So retailers can easily measure the viability of their expansion planning in the desired location.

  1. Optimization of Supply Chain

Supply chain management is one of the most important areas of retail that has a direct impact on the performance of any retail business. It is a well-known fact that excess inventory causes cost burden and stock outs can stimulate customers to look towards competitors. This is where AI-powered prescriptive demand models help retailers eliminate this pain point. In order to predict accurate demand and supply forecasting, prescriptive demand models regard past sales of different products, events, marketing campaigns, and seasonality etc. So retailers can easily optimize logistics and enable an effective use of operational funds.

Conclusion:

Yes, AI has begun to change the face of the retail irrevocably throughout the retail value chain. So forward-thinking retailers are finding enormous opportunities to achieve a competitive edge, by transforming customer experience and in-store operations.

Need Help to Build AI Solutions for Your Retail Venture?

Collaborate with the world’s leading AI company FuGenX. FuGenX possesses expert and experienced data scientists, AI and machine learning experts to build cutting-edge retail AI solutions.

Please reach us at info@fugenx.com.

How Artificial Intelligence is Enabling Mobile App Personalization

How Artificial Intelligence is Enabling Mobile App Personalization1

How Artificial Intelligence is Enabling Mobile App Personalization

How AI is Enabling Mobile App Personalization?

A few months back, when we decided to add more services to our AI service portfolio, we conducted a series of deep researches across industry verticals like retail, e-commerce, and healthcare. Our goal was mainly to discover the pain points of businesses in the respective industries that can be cured by AI. When we studied the already defined AI solutions in the market developed by some AI companies, what we realized was most of the solutions were mobile-centric, from chatbot to personal assistant. Yes, mobile is still the center of the solution building of many AI initiatives.

On the other hand, artificial intelligence has evolved from being a nice-to-have solution to business critical solution. In fact, it has been one of the hottest topics in both business and science since Google (Google Home), Amazon (Echo and Alexa), Apple (Siri) and other tech giants unveiled cutting-edge AI products.

This post will provide you ideas on how artificial intelligence is enhancing the mobile experience and how businesses can leverage it to take customer experience to the next level.

The Basics: What is Artificial Intelligence?

Artificial intelligence (AI) is an area of computer science that focuses on to create intelligent machines that work and react like humans. Artificial intelligence solution is a method of adding intelligence to machines, so they can get done the tasks on their own, more quickly and more accurately. The real meaning of artificial intelligence is justified when the machines are able to perceive information and hold it as knowledge to be applied towards adaptive behaviors within a context.

In case of human, he uses natural intelligence, but in case of machines, they use artificial intelligence created by humans.

AI is a combined form of capabilities such as machine learning, natural language processing, knowledge management, and machine vision.

What’s the difference between AI, Machine Learning, and Deep Learning?

Machine learning is a subset of AI that enables machines to learn without being explicitly programmed and makes them adapt when exposed to new data.

Deep learning is a branch of machine learning, associated with algorithms that are inspired by the structure and function of the brain called artificial neural networks. The algorithms can understand concepts more deeply and act more intelligently. Many recently conducted AI experiments are based on deep learning and that were used to mimic the layers of neurons in the brain, forming an artificial neural network. You may have heard of Google’s acquisition of DeepMind, a British artificial intelligence company founded in September 2010 and that works on the same principles.

Artificial Intelligence in Mobile

Artificial Intelligence in Mobile

AI is broad in its market and applications. We can compare it to ocean. When it comes to the context of mobile, it can be embedded into chatbots, personal assistants, and business assistants. So, many companies are adopting artificial intelligence to deeply engage and retain their customers.

Last year, the research and advisory firm Gartner predicted that intelligent apps will be one of the top ten strategic trends for 2017. In fact, it has been possible as well, with the reputed travel companies like Kayak and Skyscanner, the real estate companies like Apartment Ocean and Nowy Adres S.A. and many e-commerce companies developed their own chatbots to enrich customer experience.

Intelligence apps are also increasingly developed for every category of enterprise mobile apps. Gartner predicts that 200 of the world’s largest companies will have developed intelligent apps within the next year.

Artificial Intelligence for App Personalization

Consumer-centric businesses today are developing mainly two types of AI-powered applications: chatbots and AI-powered mobile app. The American coffeehouse chain Starbucks announced a new AI-powered mobile app called “My Starbucks Barista.” Users can just tell what they want through voice search and the app itself places the order. The fast food chain Taco Bell’s TacoBot doesn’t just place the orders, it also answers questions and recommends menu items.

Compared to any other gadgets, smartphone appears as the more relevant platform for AI, with varying array of personalization capabilities. Since smartphones are aware of user location, offer anytime, anywhere accessibility convenience, and being a close companion of humans that helps in learning users’ behavioral patterns, integrating AI into apps makes it even more relevant and personalized.

How Will Mobile AI Impact Businesses?

The retail giants such as Amazon and Flipkart have already reaped the benefits of AI mobile apps to some extent. Just think about Amazon’s product recommendations that you see while accessing their app. Yes, that’s AI. AI has been making businesses smarter from many years.

With the increasing business competition and skyrocketing consumer demands, AI mobile app development is becoming the next big thing in retail, e-commerce, and telecommunication. AI helps them deeply engage users, providing more incentive to use their services. Amazon has already been successful in this area, bringing Amazon’s Prime delivery service and Echo together.

AI and machine learning-driven apps are able to collect data through point-of-sale machines, online traffic, mobile devices, and more. Forward-thinking businesses are more eager to develop such apps to redefine their personalized offerings.

The growth of artificial intelligence is offering a whole new range of possibilities for companies who want to develop app for their business. From intelligent apps that enhance customer experience, to chatbots that assist customers in every step of buying cycle from choosing product to making payment, AI is promising first-mover advantage for retail and e-commerce businesses.

Conclusion:

The innovations that tech giants are bringing out are creating a new set of opportunities for businesses, where AI-driven mobile app development is the easiest one to achieve a competitive edge. Decide your AI partner today and redefine your digital strategy.

Looking for AI partner?

Let FuGenX help you. FuGenX is among the fastest-growing artificial intelligence companies on the planet, offering cutting-edge AI services and solutions, from chatbot development to the development of custom-built, industry-specific AI solutions.

Connect with FuGenX at info@fugenx.com now.

Mobility to Improve Patient Care and Productivity. How It Works?

How-Healthcare-Organizations-can-Leverage

Do-mHealth-apps-really-create-a-positive-effect-on-patients%u2019-health

These are the Best App Strategies to Leverage Mobility to Improve Patient Care and Productivity in Healthcare!

Health is wealth, there is no doubt in that. So everyone wants their health be steady to enjoy the increased life span. Technology is a revolutionary term that helped multiple industries and million people improve their health and do better. Healthcare is not exception of that, which in reality is one of the most benefited industries of technology.

We have been seeing getting a doctor appointment through the app since this habit started in the 21st decade. But now mobile apps usage in healthcare went beyond the appointment. There are plethora of opportunities created by mobility that hundreds of healthcare organizations leveraged to improve patient care and productivity. Let’s what are those opportunities and how healthcare organizations can make use of them:

Apps for monitoring patient health

With the monitoring app, doctor can keep an eye on the symptoms or varying behaviour of a patient remotely. For example, a patient can use app to take an ECG and share that results with the doctor. And also doctors can use monitoring apps to have telehealth capacities, one of the most popular options in healthcare today. A recent study shows more than a fifth of all doctors use health apps to monitor patients remotely.

Apps for clinical assistance

Clinical assistance apps have multiple advantages. This app allows doctors to check EHRs or access lab results during the appointment. The doctors can also use this app to illustrate the health condition of the patient with the diagrams of key organs and the nervous system, which helps them make patients well understand the disease level.

Reminder apps

This app helps to remind patients about appointments or when to take the medicine. It even helps to remind patients about vaccinations that they need to take in a timely manner. Reminder app is generally a part of larger app or EHR package. It can also be developed as an independent app to provide better patient care.

Database/reference Apps:

It has been in the industry from many years. This app allows doctors to look up drug dosages for symptoms that they prescribed before. It avoids patients bringing a set of prescriptions, and also helps the doctors screen the current and previous condition easily.

Health tip apps:

Health tip apps are focused on patients. This app provides them with regular fitness and diet tips that can help them keep the health in condition by avoiding pestiferous food habits and other bad health habits. Indirectly, health tip apps help hospitals achieve patients’ trust.

Communication apps:

Communication apps allows doctors to communicate between the departments, facilities, and for interoperability, which finally results in better patient care. With this app, a doctor can securely send information about a patient to a specialist at another facility. This helps to achieve more efficient workflow in the medical practice, building a collaboration between doctors and doctors, nurse and doctors, and departments and departments.

Hospital information apps:

This app is patient focused. With this app, patients and their family members can get general information about the hospital facility, lists of available doctors, hospital services and amenities. This app also helps patients find the location of the hospital with integrated map.

Super Apps:

As its name suggests, super apps are super in their functionality. These apps could access and analyse information from multiple connected health devices at the same time. This app concept is nearly similar to Google Fit and Apple HealthKit.

Patient portal apps:

Patient portal apps give patients mobile access to their own electronic medical records (EMR). This helps patients analyse overall treatments they took for a particular disease in different hospitals or from different doctors.

Which age group patients prefer health apps more?

From 2014, health and fitness apps usage has seen 62% growth. People above 25 are more interested to use apps for multiple health purposes, especially for connecting with doctors, and getting health and fitness tips. And, Medicare and military patients have also shown increased interest in health apps. For senior citizens, health apps have become a close companion.

Challenges in adopting Health Apps:

According to a recent statistics, two thirds of physicians are still hesitant to suggest their patients using apps. The reason can be their lack of knowledge in using the apps that are built with different technologies. Also they might be worry about the influx of patient data that they think difficult to manage. So to avoid this, it is hospital’s IT department’s responsibility to train the doctors to understand the apps’ functionality.

Surprisingly, a large number of physicians in US and UK hospitals have already been using mobile capability included EHR systems. And, half of doctors in USA use either patient portals or other secure messaging systems to communicate with patients. A recent study on apps usage in healthcare has shown that 80% of nurses, doctors, and physicians assistants prefer to use smartphone app for patient education. On the other hand, half of clinical workers prefer to use tablets professionally.

Do mHealth apps really create a positive effect on patients’ health?

In a global healthcare report, it was found that some individual doctors saw a significant positive effects in their own practices and patients health by using mHealth apps. Dr. Mark Granick at Rutgers New Jersey Medical School was one such among them who got 100% accuracy in telehealth consultations about plastic surgery emergencies using the iPad app. Granick concluded the app is greatly helpful for communication in emergency consultations and also it can be used for research as well. The app facility also allowed Granick to observe how mHealth apps ease the communication between doctors and facilities.

Being a one-stop place for patients to keep certain health data and for their doctors to access that anytime, mHealth apps are allowing doctors to take quick and better decisions, which is directly making difference in productivity.

How you should be careful about inaccurate or fake apps?

It is wrong if you believe all the mHealth apps in the market are providing genuine health information. Some companies develop apps just for advertisement profit. So before suggesting any app to their patients, doctors should well check the apps’ information quality. Better, hospitals should develop their own apps for effective healthcare, with increased efficiency and genuine patient education.

Future of mHealth Apps?

mHealth apps are already prevalent in all major hospitals of the world. The upcoming year will see the introduction of super apps that would take the healthcare system completely to the new level. Now, adopting the Mobility in healthcare has been a requisite for healthcare organizations to achieve better patient care and workforce productivity. And even it is important to stay competitive in the industry. If you’re a healthcare professional, now it is your time to adopt mobility if you’ve not already done so. Your competitors may already have done so!

Apps-for-monitoring-patient-health

Want to develop mHealth apps to take your Healthcare to the next level?

If yes, FuGenX will help you how you want it, exceeding your expectation. FuGenX is a Deloitte award-winning healthcare app development company in USA, UK, and India. We at FuGenX develop apps with the assistance of respective administrative health departments and health industry experts. Multinational pharmaceutical company AstraZeneca, ONGLYZA, KOMBIGLYZE XR, and BRILINTA are prominent healthcare companies who got benefited from our disruptive Healthcare Mobility Solutions.

Vitamin D Calculator is a health education app developed by FuGenX, which assists parents of young children in estimating their child’s daily intake of vitamin D from foods, multivitamins and casual sun exposure, and many other highly successful health apps. We can help you develop a dedicated app for each objective that are mentioned above or app solution to integrate all apps in one system to reduce costs and for better accessibility.

Let us help you leverage Mobility to improve your patient care and productivity by reaching us at info@fugenx.com or filling up the form.