Chatbots have transformed the way brands interact with the clients. The popularity of chatbots has inspired an era of the intelligent business commune of the recent studies by Oracle shows that as high as 80% of the brands aim to include chatbots in their business processes by the year 2020. A lot can be attributed to the finding that almost 35% of the customers enjoy experience delivered by chatbot interaction.
The factors combine to establish that AI-powered chatbots are now making their way to the mainstream with chatbot lawyers, chatbot educators, and also chatbot customer service representatives. Let’s dig deeper into what exactly AI-power chatbots are. What difference do they make and what makes them attain this level of popularity within a short period?
What Exactly is a Chatbot?
Technically speaking, “a chatbot application is a series of software code that can communicate with humans using live chat interface.” Business can leverage chatbots in multiple ways. They can either opt for custom chatbot development or choose a well-known chatbot service provider like Slack, Skype, Facebook Messenger, Drift, WhatsApp, or Alexa for the same.
How do the Chatbots Function?
Technology has gifted us with two types of chatbots, and both of them function according to various methods, the first one being simple chatbots. Their idea of working is pretty simple. They scan user’s messages for specific keywords on identifying which, they reply with the pre-programmed messages.
On the other hand, the second type, known as AI-powered chatbots function according to their ability to process natural language. They apply artificial intelligence and machine learning ability to foster personalized conversation while engaging customers with complicated answers.
Here’s something to help you understand better:
User: When will the store close in New York today?
Simple Chatbot: Hi! We’ll are open until 8:00 PM today.
AI-Powered Chatbot: Hey, Jack, we’ll are open until 8:00 PM today. It looks like it’s snowy here. Dress warmly.
Undoubtedly Jack enjoys a fantastic experience with AI-powered chatbots and so will you, as a user.
How do Chatbots Transform Customer Service Management?
According to Chatbot Magazine, “Businesses can reduce customer service costs by up to 30% by implementing conversational solutions like virtual agents and chatbots”. But merely cutting down the human resource cost is not where their benefits are limited to.
They miraculously transform customer service management into something more promising and rewarding. Here are some of the reasons why we say so:
#1. Better Customer Experience
According to NewVoiceMedia survey, lousy customer service caused brands to lose $75 billion in the year 2017, and this clearly explains why you need to take customer service very seriously. It is probably why there have been significant changes in the way customer queries are handled. We now have new ways to handle customer calls with automated telephone menus.
IVRs have made interactions much more straightforward by letting users trace series questions where response expertly judges the next step. However, this simplicity comes with its disadvantages. You need to go through a never-ending conversation until you reach a pre-programmed destination. And this very fact makes it difficult for the user to keep fresh.
Here is where AI-powered chatbots offer an instant sigh of relief. With them, customers do not have to open up to the agreement to get irritated and instead are provided with an interface where they are heard and understood. And the best part is, customers, do not have to wait in a long queue or explain an issue multiple times.
Not only this, chatbots can successfully replace contact forms. Now users do not have to fill multiple fields for giving their information. Instead, you can have a chatbot talking to them, making the overall experience rather effortless and convenient.
#2. Smoother Customer Journey
Suzzane is looking for an elegant brown leather handbag and shoots up a query on Google. From here, she finds a fantastic marketplace where she eventually navigates to. Thanks to the extensive product assortment, Suzzane loses herself in the website navigation and thus decides to check out another eCommerce website.
As soon as she was about to click the close tab button, an AI-powered help popped up on her screen to render assistance. Suzzane gives it a try and enters the precise information about products she is looking for.
She is now navigated to a dedicated page where all the products of her preference have been listed. She chooses the most suitable one and leaves the website satisfied.
Here’s how the magician of AI-powered chatbots adds value to your customer journeys. They help you transition your visitors into happy and satisfied customers. Additionally, their ability to gain useful insights can help you understand customers better.
#3. Round the Clock Customer Support
Most of the customers tend to throw queries at the oddest hours of the day. And do you think your customer support serves its purpose when they are not available when it is required? After all, they, too, have their patience level.
You really need to be present to answer your customer’s queries at every time of the day, even the non-business hours.
Chatbots offer you this advantage. They don’t get tired or need any time for recreation. You can have them working literally “all day long.” Customers can simply ask questions over voicemail, email, or a live chat and have them handled at any time of the day.
#4. Effective Handling of Repetitive Tasks
According to David Cancel, CEO at Drift, “The goal of chatbots is not to replace humans with perfect simulation but to satisfy the customer needs.”
Let’s understand it better using a real-time example. Consider a buyer who wishes to modify an order for the fifth time in a week.
While this very idea can really have a customer support staff on his nerves, chatbots will merely handle it in a cool way effectively. This proves their value as an aid for carrying out boring tasks like repetitive calculations and database modifications.
#5. Flawless Live Chat at Your Disposal
Conversations with AI chatbots are as simple as interacting with a customer support agent. With an efficient application of natural language processing, they are capable of decoding customer’s messages and provide logical replies timely. Users do not have to keep waiting for the online availability of the customer support staff.
They can simply look for the integrated chatbots and shoot the queries right away. No wonder why Facebook’s live chat support earned skyrocketed profits. Rather, it is estimated that Facebook’s live chat support has recorded 8 million messages exchanged between businesses and customers since its launch.
#6. Chatbots that are Multifaced and Multifunctional
Do you think you can have your staff function the way you want to? Well, we strongly doubt that. You can train your staff, but you cannot change their personality. If they are short-tempered, they may lose self-control pretty easily and ruin the customer experience.
However, this is not the case with chatbots. You can program them to behave the way you want, ranging from professional one to the humorous one. Besides, you can have them perform various functions like handling accounts, providing technical support, or just collect vital customer information.
Signing Off
AI-powered chatbots are not simple “wave of the future” in the customer service ecosystem. They are here to make a long-lasting impression on the industry, transforming the way brands interact with customers more effectively. Having said that, it is still not fair to expect human-like behavior from them, for the reason that goal here is not to deliver a professional-like experience but to ensure customer delight.
For many retail businesses, artificial intelligence, namely machine learning, isn’t something that’s coming to the industry in the next decade. Some of the biggest companies operating in the industry – including Amazon, Walmart, and many others – already have AI systems in place to process customer data to help them sell more.
For example, last year, Jeff Bezos, the CEO of Amazon, wrote a letter to the company’s stakeholders that explained how they used AI to create a competitive advantage. Naturally, most of the attention went to Alexa, but we also found out that the company spent quite a lot of time on using machine learning to analyze purchasing patterns and determine fraudulent purchases. Moreover, Bezos also shared that the company utilized customer browsing and buying data to provide them with personalized promotion and product recommendations.
That sounds about right: Amazon is fantastic at analyzing purchasing patterns because every time I visit the site, I get interesting, and, most importantly, relevant product recommendations. However, product recommendations are just a tip of the iceberg because machine learning can do so much more.
So, with the machine learning revolution in progress in retail, how exactly it will continue to impact the industry? Should smaller companies also join giants like Amazon in the pursuit of business insights provided by machine learning?
We’ll try to answer these questions here.
The Amazing Algorithm
I’ve recently come across this Economist article that I thought provided a glimpse into the future of retail business. Otto, a German retailer, was struggling with a problem of additional shipping costs and delays. The company sold products from other brands, so they had no warehouse to store them before shipping. To make a long story short, delays, as well as returns, were a usual thing for them.
According to the article, some of Otto’s customers even returned products they bought from the company after they “spotted the product in a shop for one euro less.” Needless to say, the company needed a quick and effective solution to predict future buying behavior, which was done by humans.
So, Otto’s management invested in the creation of a machine leaning-powered system which, although initially designed for particle-physics experiments, did a fantastic job at predicting what the customers bought a week before they ordered. The algorithm was able to make predictions of what will be sold within a month with 90 percent accuracy (!)
As a result, the brand was able to improve the effectiveness of its existing processes profoundly.
So I guess that the main takeaway here is that small businesses should also explore machine learning and its benefits. As the story of Otto shows, Amazon and other retail giants aren’t the only ones already benefitting from the technology.
So what are other impacting ways to use machine learning in retail?
Machine Learning in Retail: Use Cases
1. Dynamic Pricing
Machine learning algorithms process a lot of data collected from customers, but their functionality is not limited to personalized product recommendations and predicting what products will be bought. As we already know from the story of Otto above, many customers are very price-sensitive, e.g., they’re looking for the best prices and are willing to return a product if they find a lower price for it.
Machine learning can help retailers to check and continuously monitor the prices of competitors to automatically match them or even offer a lower price, so the customers get the best possible deal.
“You’ve probably seen deals that offer “The best price guarantee” or something like that – this is often used by companies in the hotel industry,” says Jamie Chapman, a data analyst from Trust My Paper. “Chances are that’s the work of machine learning algorithms.”
2. Fashion Trend Analysis
Without a doubt, machine learning will be a disruptive force when business models based on it will emerge. For fashion retailers, collecting social media data such as likes and comments will be tremendously important because it will help them to identify their interests and the hottest trends.
Of course, machine learning makes this task much more comfortable by processing tons of data within minutes. The results of this analysis can help to make relevant offers for specific customers as well as identify what’s selling.
No wonder there’s evidence that many of the well-known fashion brands are starting to use artificial intelligence; for example, Inditex, the world’s largest clothing retailer and an owner of the Zara brand, has recently formed a partnership with technology companies to be able to utilize the benefits of machine learning and keep up with the competition.
3. Inventory Management
As we already know, demand prediction is something that machine learning can help with, and this is also the first step in the process of inventory management. Once the level of demand has been determined, a brick-and-mortar retail store can resupply to ensure that the needed number of products is available to meet it.
Predicting too little or too much imposes additional preventable expenses for retailers, but, thankfully, they have lots of data, which is exactly what machine learning models and algorithms needed to generate a sound prediction.
4. Check-out Free Shopping
Another use for brick-and-mortar stores is quickly gaining interest, especially after the opening of Amazon Go, the checkout-free grocery store. Apparently, AI and machine learning can help to cut waiting time in retailer checkout lines by analyzing data provided by smart shelf sensors and cameras, which is undoubtedly something that a lot of people will appreciate.
According to Retail Gazette, in addition to Amazon, such international retail companies as JD.com and Alibaba also have their concepts of unmanned convenience stores so the revolution might be coming sooner than we think.
Is Machine Learning the Future of Retail?
Machine learning can change the way we shop as well as dramatically enhance the existing approach to customer data analysis, inventory management, and price setting. It’s inevitable that giant companies like Amazon and smaller ones like Otto can benefit from the technology in a big way, so the pace of adoption is likely to accelerate in the next years, as more and more companies study the benefits of machine learning.
Well, the IT industry is something that one can’t easily predict. Even if a niche of IT is booming, the next moment it can go down any time. The best thing to count upon is data. Even if there’s a complete change in the industry, still, data is something that everyone needs. Yes, with the introduction of GDPR that field is also under scepticism but don’t worry, some of the other data is needed to be taken care of.
Statistics say that the average time an employee works in one particular company has gone down to 4.2 years. Gone are the days when the employees used to work for 40 years and then enjoy their retirement. It’s said that by 2020, 65% of the skill you possess would be of no use. That in itself shows the kind of improvement you need to make on your skills.
Is AI a Threat?
You can take the example of Artificial Intelligence. AI is expected to take over the jobs of a number of executives especially in the field of customer support. There has been an influx of the chatbots in the industry and the companies are using them well. These bots have an instant answer and wouldn’t take much time before coming up with an answer. If you’d like to read about AI, read here.
The introduction of AI has put a number of jobs in trouble. Employees are worried about their jobs and are not certain till when they’re going to last. There are a few jobs that might face hard time standing in front of these technological advances. Let’s look at a few of these. Also learn how our day to day technologies are dependent on AI.
What are the job roles in trouble?
Customer support replaced by the ChatBots:
The customer support is a field that has quite a great employment rate, especially in India. In order to cope up with the high hourly wage rates, the western country organizations rely upon Indian and other eastern countries for these services. The customer care executives are paid low here but still a payment is a payment. In order to avoid this, chatbots with higher intellectual levels are being incorporated in this field.
These chatbots are intelligent, quick to reply and they are scarily empathetic. If you’ve come across Google’s Duplex, then you’ll understand what we are talking about. About 90% of the people talking to the bot couldn’t recognize it was a bot talking to them. Hence, there’s a large scope for AI to take over the bots.
Automatic programming replacing the coders:
The automatic programming is said to be the next future thing in the IT industry. There are multiple speculations as to the possibility of this. But, GitHub aims to make the coding more automated. You can read about the same here. Though there are high chances that these automatic coders might hit the industry anytime, still it’s definitely going to take a good amount of time before they take over the manual programmers. So be prepared for this upfront and make sure you don’t invest all your eggs in one basket.
Automated testers to replace the manual testers:
This has already started to roll. If you’re an IT enthusiast or if your friend is working in the testing field, you’ll know that there’s an automatic testing already. Though this automatic testing is not entirely automated yet, still there’s a high possibility of it turning into completely automated soon.
So keep yourself from sticking in this field and explore other options. Yes, testing is easier when compared to others but it’s going to lead you nowhere if you get stuck in this.
Data Analysts replaced by Analyzers:
Data Analysts are the ones who analyze the customer or client data. They are supposed to have a brief understanding of the upcoming trends. With the inception of AI, devices are being developed that can observe this automatically. The key performance indicators are analyzed and better results are put forth by these analyzers.
Layoffs in IT jobs:
IT jobs are never really reliable. There can be a sudden change of trend and the sudden change of the clients. If one major client decides to drop out of the deal, thousands of jobs fall in jeopardy. Hence, you can’t really rely on the job. Keep updating yourself in a new field. Show your expertise in different directions so the company knows your need. This way your worth is not overlooked. You can learn further about these statistics here.
Different roles in IT jobs:
IT which is the abbreviation for Information Technology is one of the most fluctuating and highly employing jobs. One needs to get a great idea of what they are stepping into, before starting their careers. The statement is no better suits for any other industry than this IT industry. So without further ado, let’s jump into the different role descriptions so you’ll know what to choose.
If you’re a graduate and have a computer science degree, there’s a high possibility you’ll land into an associate software engineer job. This would pay you around 3.5 LPA and this might change according to the industry standards.
Data Analyst:
A data analyst would be paid a starting salary of 4.5LPA and the hikes would be pretty awesome. There’s a good chance you’ll be paid higher when yous tart switching.
Developer:
The developers are usually paid the same amount as an entry level in MNCs (3.5LPA), though the scope of growth is pretty high and the chances of layoffs are quite low.
Tester:
This is another job that might keep you interested while you’re at it, but once in case you’re out, you’ll know nowhere to go. The salary is the same as stated for the developer and the growth in this role is bleak.
Network Administrator:
You either need a good expertise in the field or have the respective degree to land yourself in the job. The salary for an entry level would be around 5.5LPA and the hikes would depend upon the performance.
Business Analyst:
One of the most important roles and the pay is according to its worth. The job is tough and head blasting, but the incentives and pay are as good. The initial payment for the entry level would be around 6.5LPA.
Which information technology job has the highest salary?
As you’d all know that it’s the CEO who would be earning the most. But the salaries of CEO might change from time to time and it doesn’t completely come under the IT sector. So let’s look at the highest paid salary for an IT operating executive.
Well, it’s the Software Architect who earns the highest out of all the remaining technical executives. In India, in a well reputed MNC, a software architect would be earning about 21 LPA. That’s just for the start. If the respective person lands himself with some great experience could also earn about 3Lakhs per month, which totals to 36LPA
Which IT jobs are in demand?
Data Scientist:
The next big thing in the IT industry. The future of the world is going to work on data. In the world where the concept of astrology is believed without any proof, data is the one that people should invest their dollar in. You can see and understand the various trends basing upon this. A data scientist gathers all the information and uses it in the right areas. If the data scientist belongs to an e-commerce industry, he/she would try to figure out your likes and show the appropriate products.
Machine Learning:
Machine learning is a way for machines to learn and understand the different scenarios through Artificial Intelligence. On the verge of making the future of the mankind easier, multiple measures are taken. Out of all these measures, the one that everyone’s counting upon is the Artificial Intelligence. The machines are designed in such a way that just like the humans, they start learning from different occasions. All the things that happen around them are registered in their storage and the future performance would be based upon those incidents. There’d also be a few protocols installed right before their operation to avoid any unwanted situations.
Cloud Computing:
In the generation where there’s a fear of losing data, cloud storage came for the rescue. The cloud storage is essential in protecting the data and keeping it away from all the dangers of losing. Though there have been a number of vulnerabilities in the access to these data, still experts are working on to make these as secure as possible. Learn how cloud computing is essential for the IT industry.
Big Data:
Another huge industry that hasn’t yet received the recognition it should have. Big data is the process of collecting and storing various pieces of data. These data are later utilized in making the appropriate choices. Depending upon the data collected, the further categorization and taking appropriate steps are done. Hence this is one of the other industry that you can actually count upon.
Block Chain:
First of all, Blockchain technology is something that all of us have heard of. Also, the kind of waves bitcoin managed to create in the world of digital transactions is unmatched. Blockchain was able to make some really transparent and secure transactions. These transactions for their transparency on the digital level can’t be manipulated either. Not just that, blockchain is recently being incorporated in the advertisement platform as well.
Which IT job is right for me?
Every IT job has its own need for expertise. Different role demands for a different specialization. Hence, it’s you who needs to decide for yourself with respect to your skill. Here’s a link to the personality test that would help you determine your skills. Though these skills are not completely to be relied upon, still, you need to understand your own set of expertise. Here’s the government organized skill development program you can incorporate.
Courses available for the IT jobs:
Here’s a list of different software courses in order to land yourself into your dream role.
JAVA/J2EE & its Frameworks (Struts, Spring, Hibernate)
Big Data Analytics
DBA (Oracle, DB2, MySql, SQL Server)
SAP
AWS Certification
System Administration (Red Hat, Solaris, UNIX, VMware)
Cloud Computing
Microsoft Technologies
BlockChain
Mobile SDKs (Android, iPhone, Windows Phone)
Website Development
Animation & Graphics
SQT (Software Quality Testing)
Other language courses(PHP, Ruby/Perl/Python)
SAS
Career Growth:
The career growth can’t be determined all at once. But if you’d like to sustain in this world of constant upgrading, keep learning and innovating. Also, the one easy step to keep yourself from the effects of losses, show how worthy you can be in other fields as well. Don’t just stick to one field that you’re assigned for. There are so many flavours of icecreams you need to try to be able to justify your position in the company.
On-site Opportunities:
The on-site opportunities in this field are quite high, provided, you show your worth. Yes, there’s a scepticism regarding the politics and stuff. But if you’d like to overcome it, show you’re better than the others, don’t just know it, prove it. Usually all the MNCs deal with the international brands as their clients. As long as you’re working for an international client you have some good chances of being called up if you’re good enough. So sit tight and just kleep doing better. You might as well land yourself in a great position.
Trends and the Future of IT industry:
As discussed earlier, the future is all about data and its analytics. Furthermore, The data is running all the major businesses these days. Knowing your clients or customers is the prime motive of any business professional. This not only guides you in the right direction towards satisfying the needs of your customer but also would help you see a great rise in revenue. Understanding the data and analyzing it through analytics is the future. If you want to stay in the race, keep a good eye on the trends and update yourself accordingly.
Takeaways!:
Though there isn’t a strong prediction that could anticipate how the IT industry is going to churn out in the near future, hence, all you can do is bet on it. Also, no industry is outdated if you strive on keeping yourself up to the changing trends. Change with time. Keep pushing yourself and never find your comfort zone. If you need a comfort zone, go ahead and find yourself a government job. Let me warn you, It’s certainly going to be boring when compared to the IT industry!
Artificial Intelligence has come a long way from being just a science fiction dream to a reality which we see today. The world is evolving at a rapid pace and with it the technologies are being upgraded and are getting better too. Today we have more power in our pocket than we had in our homes in the 1990s. Not long ago, holograms and smartphones were just science concepts but now the smartphones can check our health as the technology is evolving. Some of the application areas of artificial intelligence are health, education, entertainment, services, security and many other domains but these fields are specifically the most to benefit from this technology.
People are beginning to explore the benefits of AI and how it can ease their life. Artificial Intelligence and Machine Learning go hand-in-hand so that machines can learn about critical programs to gain knowledge and respond to demands to perform similar human-like tasks. Artificial Intelligence enables a machine to self-learn from experiences and human intervention which finally provides us with human-like capabilities for interaction and problem-solving potential. From chess-playing computers to self-driving cars, AI is present in many areas which we not might have thought of. AI makes use of Deep Learning and Natural Language Processing (NLP) to accomplish tasks like these which drives automation and intelligent processes.
Various Technologies will Lead in Coming Days
Recently the most progressed fields are Augmented Reality, Virtual Reality, Voice Assistance and Artificial Intelligence, and people are beginning to wonder what the future might be like with this kind of technology. To explain these technologies in 2 lines I would like to start with Augmented Reality, which combines virtual objects with the real world which gives an interactive experience by computer-generated perceptual information. Another one is the Virtual Reality which is a computer-generated simulation of a 3D image which can be interacted in a real or physical way through an electronic device which has sensors. Last but not the least is the Voice assistance which has been with us for many years now but the enhancements in AI has provided more room for improvement in voice-assisted technology.
There are many examples of AR which are being used by individuals and industries like;
IKEA uses the application Place, which they have recently released so that customers can
check how different types of furniture look in their home which simplifies purchase decisions for the customers. Niantic’s Pokemon Go, an Augmented Reality based smartphone game, enables the player to catch Pokemon on real-time locations. Automaker Company Ford uses Microsoft’s HOLO LENS to design cars and experiment with new designs. Other automakers, Audi and Cadillac use Virtual Reality to enhance the customer experience so that the buyers can see the car model and the features. So in short what I mean to say is that nowadays industry giants have started implementing technologies like AR and VR in their fields and are experiencing a much better way to run their business.
Examples for Voice Search technology are Apple’s Siri, Samsung’s S Voice, Microsoft’s
Cortona and Google Assistant, Amazon Alexa. A lot of development has been made in the field of AI in the last few years which has motivated developers and companies to create more products and services around it.
These are some of the points which suggest why Artificial Intelligence is important:
1. Repetitive Learning though data
AI carries out continuous computerized tasks which are high volume and automated. Through Deep Learning, AI seeks to get in-depth information about a problem or a query raised by an individual. Human enquiry is still important to ask the right question so that the learning is in the right direction.
2. Adding Intelligence
Products which are already in use are improved through the integration of AI capabilities. Different types of components like automation, learning bots and conversational platform can be merged together along with huge amounts of data to improve the product or the service through AI.
3. Adapting to newer algorithms
AI continuously learns newer algorithms through structured data available to it where a new skill is acquired in order to provide newer experiences. An algorithm is important to solve a certain case or a problem. When new models are introduced, AI automatically learns through training and added data.
4. Deeper Insights
More and more analysis of data leads to a deeper understanding of the database available to AI and through neural networks many hidden layers can be uncovered. With the highest compute power, various models can be trained to go deep into data to get more relevant out of it.
5. Incredible Accuracy
The most appropriate example to define this point will be Google search and Google photos which gets better as we continuously use them. Through deep neural networks, AI achieves higher accuracy to dive deep into data and select patterns of the users which can be helpful in providing similar results.
6. Proper utilization of data
The algorithms are self-learning and the data is used appropriately and excessively by AI which helps bring out the best results out of the big data. Since the data is important now than ever before, it creates a competitive advantage because many newer techniques or solutions and be uncovered through proper analysis.
Conclusion
Artificial Intelligence can benefit the lives of each and every individual because it has the potential to offer a technology which can be implemented in day-to-day life and would make their lives easier. There are multiple areas which can benefit from AI and this will result in the reduction of human efforts, costs, and labor. Industries and Enterprises are already using AI in their business processes and have started seeing the difference through high efficiency, lower operating costs, and faster decision making.
Android P, arguably one of the best updates android has ever seen. Why am I saying this? Follow me on this and you’ll believe what I said too. Previously Android came up with the Lollipop back in 2014 and swept all the updates with its improved animations and quite exciting features against which the next or previous updates of Google, failed to compete.
Now, with the announcement of Android P, Android has a new update that can be called as best ever. The HMD global even announced that more than 86,000 users have logged in to test the new software and get it updated in the mobile phones.
Using the AI technology in multiple features, Android P has made sure that the audience would be comfortable in using their phones like never before. AI records all your activities and also your actions on notifications and internal app pages and then show them to you so you can save your time in finding them. Let’s brief every important feature that Android has come up with.
The Navigation keys:
This would be the first one on any list as this is the major change of this Android P update. Android now has saved you from those three custom screen keys and has put a small tablet shaped key. Though this isn’t the best upgrade still now, but as the users are using it they, users are taking it as a much better-looking version. You don’t have a back button or multi-app display buttons to this. If you want to navigate through the apps, just tap on that single icon and the application’s pop-up. Now swipe from left to right to navigate between the used apps. This isn’t the most convenient option but wait until your body muscles get used to it and then you’ll not feel much difficult.
Dashboard and App timer:
Now there’s a feature that would actually benefit you and still is loved by all the elders around you. If you lose track of how long you’ve been using your phone. If you wonder, you spend too much of time over certain apps, then this is for you. The dashboard lets you figure out how long you’ve been spending time over your phone. You can also come to know how long you spend on particular apps and put restrictions on it. This will not only curb your phone usage but will also give you an idea, how you’ve been wasting time all day long.
DND Mode and Wind Down:
The Do Not Disturb mode, which the iPhone is famous for has been embedded in a way better way in Android P. Though Android already had a DND mode earlier as well but wasn’t as efficient as this is. If ever you want to stop yourself from being disturbed by other, you can just turn your phone facing down. This will not only cease the calls from ringing but will also stop all the other notifications. This is called the Shush mode. If you’re on a family dinner and you keep receiving messages from the one your parents which you don’t like, you can just turn it upside down. That’s it, that’ll do the job for you.
Indoor navigation with Wi-Fi RTT:
This is one huge update that every Google maps fan has been craving for so long. How would you like it if you can not only guide yourself to your friend’s location but also know where exactly he/she is? If they’re in a mall, you are even guided with respect to the multiple storeys it has. The person’s position would be accurately determined and you can accurately guide yourself.
Credits: Android Developers
Slices:
This is one of that Artificial Intelligence featured program, that helps you in determining a particular page in a certain application. For example, if you’ve been using Uber to book a cab to your location. Then this feature will give out the address under the application that you usually search for- when you search for it on Google. Now, you can see the location and the fare price will pop up right there. This works for multiple apps and it’s internal features. This isn’t a great update but will surely go a long way in making your usability easy.
Screenshots:
This isn’t a major update either, but still, the one that the Android users have been waiting for. This feature has already been used in the IOS 11 and has proved to be effective. The same feature has been embedded in this version of Android and we couldn’t be happier. There are better customizable options in the Android’s version when compared to IOS’s
Auto-Rotate:
Credits: Android Developers
The auto-rotate has seen an update too. Now you won’t be annoyed by the frequent auto rotate. Or turning on and off the auto rotate option all the time. All you need to do is rotate the screen and tap on the portrait or landscape option. This will be displayed on the corner of your phone screen. After the rotation, just tap on it and your job is done.
Default HTTPS for apps:
HTTPS is the secure version of HTTP where the communication with the server to the browser is encrypted. Most of the applications are using HTTPS these days but for the few, there were a few that don’t. For that, Android P has made sure that all the application it uses has HTTPS. We’ve all learned the importance of having that S at the end of HTTP if you haven’t then do give it a read here.
Adaptive Battery and Brightness:
This ability to adapt for both the battery and brightness is what we’ve seen earlier. But trust me when I say that this isn’t like before anymore. This is new and quite different from the previous versions in terms of efficiency. Here, the artificial intelligence, that Google has been concentrating upon, comes into play. From your past usage and experiences, the AI accordingly records the data. This data is later utilized to adjust the brightness according to the time. When it comes to battery, it learns to prioritize battery power by observing the apps and services you use the most. It thereby helps you in using your battery in the most resourceful way.
Smart replies and notification customization:
Credits: Android Developers
This Smart reply feature has been available previously but has definitely changed for the good. You can now more conveniently use the smart reply option to reply in a more efficient way. It shows the suggested replies according to the person and also displays the images they send on the notifications itself.
So that’s all from our end, you want a further information on other tiny updates, then go through this.
Recent Updates:
Android P Beta 3 version has been released just a while ago. If you want to read about what’s new or how to install this on your phone then, visit here.
Update: Android has released the Beta 4(Developer Preview 5)
Android has already released the new Beta 4 version of its P version and it came to market on August 6. Although the Beta 3 version was supposed to be the last one, Android took it a step further and released the next version for its audience.
How do I get the Developer Preview 5 (Beta 4) update?
The newly released beta update is basically designed for the Google Pixel devices and not only confined it self to one device. It is also available for users that have already enrolled for the Android Beta programme. If you’re a pixel user, you can download the update here. The users will also be able to download through OTA(Over The Air) update here and factory images here and if you are a Nokia user you can download from here. If even you would like to get the update, you can sign up for the Android Beta Program to receive the OTA update on your phone.
What devices will this be available in the future?
Android Pie was available for the some of the devices which includes Pixel, Essential, One Plus 6, Essential and Nokia 7. These devices were the first who got updated with Android Pie. After this HMD global on October 10 declared that Android 9 will made available in the Nokia 6.1 plus via Nokia phone beta labs. The Nokia Phone beta labs are designed in a way to give the tech freaks an early adaptation of the new technologies and improve the user experience on the digital platform.
What’s new in Developer Preview 5 (Beta 4)?
The new version of this has come up with an intention to offer new features on board. Before, the developers were more concerned about the ability of Android P about how it will perform without causing any disruptions. Hence, in this case, Android P made sure that all its features work without any errors and with full efficiency.
There were certain parts of the OS that were giving a hard time to the users. The settings tab was taking a while for loading. Though the wait isn’t really long, it still is noticeable. This was not really going well with the users. Hence keeping these things in mind, the new beta version allowed the users to get rid of all those undesirable effects they had to see earlier.
The other update the users are able to see on this new update, is that the battery consumption was 3% better than before. Though this isn’t a substantial change, still, it has improved the user experience and adding some juice to our batteries is always appreciable.
Let’s see what has changed from Developer preview 4 to Developer preview 5.
Voice icon has been removed from the Google search bar in the app drawer.
Google Pay still wouldn’t allow the in-store payments on the device.
The auto-rotate icon has been changed now. A simpler one has taken its place.
I know the kind of updates they have come up with but it has been only 2 months and Android P is appreciated by the users. So the key take away is that Android P has come up with an additional update after 3 weeks of its release. The update is mostly concentrating upon the irregularities or errors of the previous version. With this update, Android P is was installed in all the major smart phone brands. It is also expected to be updated regularly in third quarter of the year. People are enjoying it a lot. You also go and enroll yourself for the new Android P. We’ll Update you everytime something ne comes up.
But they certainly have come up with the way to speed up the device. I’am using this OS in my device and my device has become fast and is giving a very good user experience.
