Facebook has allocated $ 1 billion to build affordable housing in California, the company said. The founder of the social network, Mark Zuckerberg, also spoke about this.
https://preview.redd.it/dajc1x190au31.png?width=840&format=png&auto=webp&s=03dfcd1ff78ab7fcc70da240406a730ba37db969
The headquarters of Facebook, like many other large IT companies, is located in California. Highly-paid specialists are moving to the staff - because of this, housing prices are rising, and families with low incomes have problems.
According to Facebook, the state government cannot independently overcome the affordable housing crisis. Facebook's investments will be directed to the construction of 20 thousand homes for "vital workers" - teachers, nurses, and emergency workers.
The problem of affordable housing affects not only low-income families but also the middle class. In San Francisco, a family of four with an income of more than $ 100 thousand per year is considered to be low-income, the company said.
Over the next ten years, Facebook plans to invest another $ 1 billion in state housing:
• $ 250 million for the construction of housing complexes for people with different incomes on empty land owned by the state.
• $ 150 million to build affordable housing, including housing for the homeless, in the San Francisco Bay area.
• $ 225 million for construction on Facebook-owned land in Menlo Park, where the company's headquarters are located. There will be built more than 1.5 thousand housing units for people with different income levels.
• $ 25 million for housing for teachers and other professionals for the San Mateo and Santa Clara school districts.
• $ 350 million for additional liabilities.
By the way, In June 2019, Google announced that it would invest $ 1 billion in housing construction in San Francisco. $ 750 million will be spent on the development of 15 thousand houses, and $ 250 million will be spent on creating an investment fund for developers who will build five thousand units of affordable housing.
You can find more information about the stock market, commodity market, and FOREX on the ITRADER site.
This material is considered a marketing communication and does not contain, and should not be construed as containing, investment advice or an investment recommendation or, an offer of or solicitation for any transactions in financial instruments.
Risk Warning: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 84.16% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.
Legal Information: ITRADER is operated by Hoch Capital Ltd., a Cypriot Investment Firm (CIF), authorized and regulated by the Cyprus Securities and Exchange Commission (CySEC) under the license no. 198/13, in accordance with the Markets in Financial Instruments Directive (MiFID II).

The rental service of premium apartments Sonder $210 millions during round D, with an estimate of more than $ 1 billion, the company blog says.
https://preview.redd.it/lghgr136mfa31.jpg?width=1024&format=pjpg&auto=webp&s=5a614400e5b23538af3b57ce01f1504a98a513c5
Investment companies Valor Equity, Westcap, and venture investor Nicholas Pritzker through Tao Capital Partners have become the leaders of the round. By the end of the summer of 2019, Sonder plans to raise another $ 15 million.
“The future of hospitality will be dynamic,” writes Sonder co-founder and chief executive officer Francis Davidson in a statement.
“It will demand flexibility. And that’s what our diverse, unique and adventure-seeking world is like too. That’s why, while our spaces will continue to take on new forms and expand to exciting neighborhoods around the world, a Sonder will always be unforgettable,” he added.
The company will spend the raised funds on opening a second headquarters in Canada and expanding the staff of designers, developers, and finance specialists.
Startup Sonder was founded in 2012 in San Francisco. Users can rent premium apartments without intermediaries using the service. Employees of the company are engaged in the design and equipment of flats, as well as ensure that customers have all the essentials.
“Canada has such a trajectory and momentum and it’s the obvious choice in my view,” Mr. Davidson said in the interview with The Globe and Mail. “You know the stories about the Bay area and how absurd the housing market has become. San Francisco is one of the most expensive cities in the world and that’s reflected in the salaries as well and the competitive war for talent. It would be unsustainable for us to continue to grow here."
There are more than 8,500 apartments in 20 cities of Europe and North America at the disposal of Sonder, according to TechCrunch. By the end of 2019, the company plans to increase revenue to $ 400 million.
You can find more information about the stock market, commodity market, and FOREX on the ITRADER site.
This material is considered a marketing communication and does not contain, and should not be construed as containing, investment advice or an investment recommendation or, an offer of or solicitation for any transactions in financial instruments. Past performance is not a reliable indicator of future results.
Risk Warning: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 87.07% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.
Legal Information: ITRADER is operated by Hoch Capital Ltd., a Cypriot Investment Firm (CIF), authorized and regulated by the Cyprus Securities and Exchange Commission (CySEC) under the license no. 198/13, in accordance with the Markets in Financial Instruments Directive (MiFID II).

​
https://preview.redd.it/qge62oq0u3931.jpg?width=551&format=pjpg&auto=webp&s=191f92ccb35f21b0c4783c8736219c5ba276fd35

Why Credit Karma Is Free and How It Makes Money?

Sensible shoppers know their credit score impacts their potential to get a mortgage, their mortgage rates, credit card approvals and even a job or housing utility. So it’s an excellent behaviour to evaluation your credit score report and rating regularly – not solely for accuracy but in addition to determining methods to may enhance your rating.
Federal legislation mandates that everybody has the precise to 1 free credit report from every of the large three credit-reporting companies – Equifax, Experian and TransUnion – every 12 months. To acquire a duplicate, shoppers have to use by AnnualCreditReport.com, the official credit-report web site. However, these experiences do not embody your credit score rating, which is a crucial monetary to determine everybody ought to know. Up to now, the one strategy to get hold of it was by buying the rating straight from every company, which regularly got here at a hefty worth.
However now, Credit score Karma, a San Francisco–primarily based firm based in 2007, has shaken issues up by providing free, ongoing entry to your credit score scores and experiences from TransUnion and Equifax. You join with creditkarma.com and would not have to register a bank card as is usually the case with different websites.
When you’re a member, you may monitor your credit score as usually as you want. Credit score Karma additionally gives free online tools and knowledge that can assist you to perceive your rating. The service additionally gives personalised suggestions to enhance your rating, together with decreasing your credit score utilization or bettering your on-time funds.

• click here for forex indicators
• Support And Resistance Indicator

​

Why Make All This Free?

Credit score Karma has made transparency central to its business model. The corporate goals to demystify credit score for the typical particular person and make it simple to know.
“The corporate was based with the idea that buyers ought to have entry to their knowledge totally free,” in accordance with a spokesperson. “In any case, it's their knowledge, they usually judged by it in practically every side of their lives.”
One other a part of the mission helps folks perceive their very own financial health.
“Scores have been constructed for lenders and statisticians,” Credit score Karma founder and CEO Ken Lin stated. “Shoppers weren't the meant viewers.”

So What’s the Enterprise Mannequin?

Since Credit score Karma is a for-profit enterprise and not a charity, how does it generate profits? Relaxation assured, it's not promoting the knowledge you share so as to get your credit score experiences from its web site. In line with the corporate web site, its revenues come from tailor-made, focused promoting by monetary firms on creditkarma.com. Its enterprise mannequin relies on discovering a win for everybody – the buyer, the financial institutions that publicize merchandise and Credit score Karma’s personal bottom line.
Credit score Karma has greater than 85 million members as of Jan. 2019, probably the most recently-available statistic. It has the flexibility to do a sturdy evaluation and use algorithms to pick related advertisements for particular folks. To monetary advertisers, this implies the location is healthier capable of matching them with shoppers who're extra seemingly to make use of their companies. Credit score Karma will get paid for this lead era primarily based on agreements with its monetary promoting companions.
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Right here’s How It Works

By accessing your credit score experiences, Credit score Karma suggests credit score merchandise primarily based in your present historical past. It additionally makes use of your credit score rating and historical past to find out which merchandise — bank cards, loans, insurance coverage, and different banking merchandise – including excessive approval odds.
“In the event, you make the most of that chance, we should always generate profits, you need to lower your expenses, and the financial institution ought to get a brand new buyer,” Lin stated in a December 2014 Reddit Q&A. “The loser within the equation was that financial institution that was charging an excessive amount of.”

The Backside Line

Credit score Karma is an internet personal-finance platform that guarantees to take the guesswork out of credit score. It lets you monitor your credit score experiences and scores totally free and provides different instruments and companies primarily based in your profile. The corporate will get compensated by matching shoppers with tailor-made product advertisements which might be primarily based on their credit score profile and the probability that they are going to be accepted.

Businesses devise a billion ways of wooing customers, every day. If a chatbot can be a useful accomplice toward that end, why not give it a try? Afterall, who wouldn’t want a tool that can hold an intelligent conversation with customers, make them feel comfortable and bind them to your business.
Is it possible?
Recall that memorable scene from the award winning 2003 film, Lost in Translation, where an aging American actor, Bob Harris (played by Bill Murray), is on a set in Tokyo to shoot a whiskey commercial. The director, Yutaka Tadokoro, begins instructing Bob in Japanese, and the slapdash interpreter fails to capture the meaning—namely, it gets lost in translation. The process bogs down, and the commercial is a disaster.
You don’t want human-to-computer interactions to end up that way, right? But one-way communications prove to be too exasperating to users. People give up on trying to get a machine understand their intentions in a few clicks and presses. There’s that missing vibe, that interactive component in any human-computer engagement; and it’s the main reason a vast majority feels they must adapt to the technologies they use, rather than technology adapting to them.
https://preview.redd.it/mzxagl6zwrd11.jpg?width=220&format=pjpg&auto=webp&s=49da6f90e91dc9686b28c337b159b74c7f6dd3bf
Enter 2018, and we have artificial intelligence (AI)-driven chatbots that are revolutionizing human-computer interactions just the way the humans want it. Chatbots today are more adaptive to the way people speak and mimic their emotions to the nearest binary. 2018 is paving the way for a great chatbot innovation.
Meanwhile, developers are working tirelessly to bring in new consumer experiences to market. For example, once WhatsApp opens to bots next year, it will unlock direct access to over one billion new users. Chatbots are continuing to push the envelope of new technology further.
To reckon with, a chatbot isn’t an additional handle on your website or a fancy add-on. It’s the need of the hour for every business that’s flourishing or aspires to flourish. In a market that’s fiercely competitive, customers expect to receive accurate information quickly enough to make a decision. As a business owner, you need to cater to that need. If you don’t have funds to recruit more people to answer all the questions customers throw at you, then deploying a smart chatbot can rescue your business in that case.
https://preview.redd.it/vpuz6mb1xrd11.png?width=800&format=png&auto=webp&s=f615929b9f190e38afe38c3d59ba084dbfc9747b
But then intelligence also matters as it determines the kind of tasks or conversations your chatbot can handle. Needless to say, if you have a clear set of activities preconceived in your mind, you can build awesome customized bots.
Let’s take you through a short read about 5 important things that can make a chatbot intelligent.
1. Bots need to understand human conversations:
The bot needs to be quick and intelligent enough to understand the context of the conversation happening in real time. It’s about sense and sensibility, in conversations.
Normal human conversations are replete with instances of switching over context while talking, while at work - resuming a task, discarding the current task and switching to a newer one, or in general hold a task while the other is being executed and work on follow on. Human conversations tend to switch between contexts and variables (intents and entities), often combining multiple things into one.
Sample this response to a flight booking bot for example, "My Destination? San Francisco. But how's the weather over there?"
What should be the bot’s response here - capture the entity and continue booking or check the weather before that?
In this case, chatbots need to

• have context switching abilities to handle interruptions smartly and provide full control to developers in defining the experience
• capture unattended interruptions from a conversation flow and keep them accessible
• be equipped with human conversations and have the ability to hold and resume a dialog for a certain amount of time and execute the tasks in sequential order, and especially while understanding human emotions

You may argue that a bot is after all a machine and cannot absorb emotions, but all said and done, it also depends partly on how much capability you build into it. So, it must be clever enough to filter the feelings of the customer. The bot needs to understand, analyze and respond based on the human emotion. For instance, if a customer messages an online shopping portal saying, “Your service is amazing, the delivery of items are always 2 to 3 days delayed”, none can miss the biting sarcasm intended in the statement. But if the bot isn’t developed to cater to this sort of sentiment, it may end up answering in a horribly awry manner.
https://preview.redd.it/a3p88148xrd11.png?width=800&format=png&auto=webp&s=f589d16a1d1407018f26c460404a69def2a4cf52
Intelligent bots will have: Sentiment analysis, context switching, hold and resume feature.
2. Standardization and uniformity in bot utterances
It’s important to remember that a chatbot must give vibes closest to humans as much as possible. The way humans carry the stamp of their personality and style, bots too need to be enabled to do that. When asked about something, a bot must respond in a particular way and pattern that sounds like a human. This warms the usecustomer and makes him feel at ease during the conversation with a chatbot.
“You must have direct connection with your customers as part of your brand’s identity, even more than your website that doesn’t seem to have an identity, this will have a personality.”- William Meisel
Thus, chatbots need to

• understand and remember the user context - make all user information available in a single location and accessible
• store the user profile with information like first name, last name and make it accessible to all the systems for the convenience of the user.
• remember what a specific user talks to a specific bot, in an enterprise scenario it needs to keep certain features such as prompt for ‘Password length’ / ‘folder for HR information, constant for all the employees in the enterprise

It’s important for a chatbot to keep a current task which is being executed in an active mode and store information.
As a corollary, customers appreciate and connect with the support executives (call support executives/shopping store helpers) who can remember their preferences, can validate their purchases, help them with more information on products, and basically give importance to them while attending to their queries. For example, in a Forex platform the currency against each country is maintained constant across all systems for everyone to access. The platform tends to store the first and last name of the customer, their last transaction and their payment options.
Chatbots now have the responsibility to standardize their understanding of a customer and respond to them accordingly, whether in the manner of communicating or the speed with which they resolve their query. Chatbots need to converse with customers to extract this information and keep up to their pace.
https://preview.redd.it/flps4l6bxrd11.png?width=800&format=png&auto=webp&s=dee88672cef176ed92778e962a9029543ee6cbd9
Intelligent bots will have features like: Small talk, Bot user session, Enterprise context, User context and User session
3. Making the complex conversation sound simple
Chatbots are expected to break the complex structures of conversations into simpler tones and bring to a logical conclusion. Here’s where ‘Artificial Intelligence’ comes into play. Among the many types of chatbots, the most common ones are task specific that cater to a specific job, with pre-loaded answers and information. These type of chatbots have the ability to gather data from the internet, previous company database and other sources. Therefore, these bots are able to reply to diverse queries.
The intelligent bots, in addition, have the potential to mold the conversation the way the customer wants and guide him towards a specific solution. In an office setup, it’s common for a conversation like, “Hey Lisa, set up a meeting with Phani if he’s free”, to be handled between a Boss and Secretary. To enable that, the chatbot needs to first look up the calendar of ‘Phani’, find a suitable time for a meeting in sync with the Boss’s schedule and then reschedule the meeting. Chatbots thus need to break up complex sounding conversation into simpler nuances and then execute the task sequentially and logically.
Intelligent bots can also break down the conversation to its essence and action items. Let’s look at a very common scenario: ‘Customer tries to book tickets for 14th August, confirms on the choice of airlines, origin and destination and navigates to the next page, but feels that the pricing is very high. The customer then asks the bot to check for ‘15th August instead’. Here, based on the situation, the chatbot is acting and will be able to display the new prices by changing the date of journey.
https://preview.redd.it/bzfoasiexrd11.png?width=800&format=png&auto=webp&s=67d134343093daf3d239c9bcfd0b315fb687d333
Intelligent bots will have features like: Amend Entities, Planning.
4. Adapting to human utterances
In the context of human–computer communication, forming assumptions about what a system can do and understand is problematic for most people. In turn, forming assumptions about how users will “talk to” the system is also likely to be problematic for system developers. The potential for variability in how users will communicate with a system is enormous and has been dubbed “The Vocabulary Problem.”
An intelligent chatbot can not only handle queries smartly and remembers them through the session, but also learns new things with every conversation that happens, saves them and uses them appropriately for future instances.
In a human conversation and especially over voice, there are bound to be

• expectation of elaboration or confirmation (“can you hear me?”, “I do not follow”)
• request for repeat of sentences (“ I’m sorry I couldn’t hear that, can you please repeat it again?” “Sorry, can you repeat?”)
• pauses (“can you please hold? [pause] thank you!”)
• interruptions (“the number is 212-” “sorry can you start over?” )

The simplest thing to do when writing responses to command and inquiry utterances in a conversational UI is to get straight to the point: respond with facts. That’ll remove a lot of the ambiguity and simplify the dialogue.
It’s up to the intelligent chatbot to adapt to the way the human responds - with the referential context (or) pauses (or) specific context (or) synonyms (or) repetition (or) abbreviations (or) variations in dialect. The chatbot needs to map it pre-contextually. But like their human counterparts, chatbots’ conversational skills determine whether they earn you seamless, scalable transactions or just another horde of pissed-off customers. This needs a lot of training by the chatbot to help continue the conversations to the logical ending.
https://preview.redd.it/u5g63jovxrd11.jpg?width=1581&format=pjpg&auto=webp&s=1f394c933c28c1079cf290156de09f285b2054d1
Intelligent bots will have features like: Sync, Repeat, Interruptions and Pauses.
5. When bots are kept simple
Although AI chatbots’ task is complicated and they need to be built up that way, yet the effort should be made to keep it simple. They need to be comprehensive yet detailed. A customer initiating a conversation with a chatbot might already be troubled due to some poor service related issue, hence it’s better not to irk him further with complex interaction. The bot should be answering the already irked usecustomer in a most precise way possible without confusing the person further. It’s easy to figure out if you are talking to a bot or a human. Make sure the customer knows that they are talking to a bot by welcoming them with some sort of welcome message. Nobody likes being told the same thing over and over again, so why do chatbots keep doing it? Bots should detect when they’re about to repeat a previously given answer and switch strategies. If the answer didn’t resolve the user’s needs before, repeating it certainly won’t either. From the user interface, to the dialog flow the experience should be pleasant, and information given to the user needs to be valuable and crisp.
Twitter also provides the option to give your bot a custom name for different sections of the bot, which can be of use. It’s important to show what the chatbot is capable of doing with Quick Replies. The customer needs to be a guided stepwise within the conversation and with enough accessible options to choose from.
Lastly, there must always be a way to end the conversation with the bot and switch to a human agent. Many bots today include a Quick Reply to “Speak to an Agent”. Certain actions, such as open-ended visual search, are challenging to complete in a messaging environment. In those situations, bots can route to a website or app to help the user complete goals they couldn’t execute within the context of chat.
https://preview.redd.it/gc1j3z4sxrd11.jpg?width=578&format=pjpg&auto=webp&s=331b9de9fcfa0c26ddf34eeb93783e909ecab6cf
Intelligent bots will have features like: Simple UI, Simpler steps, Agent Handoff
In a nutshell, a chatbot must be programmed to not just provide optimum solutions to problems, but also converse with customers in an engaging manner. The interaction must be exciting and the bot must appear to be curious enough to answer all queries. People prefer lively interactions and a chatbot needs to meet that expectation.
https://preview.redd.it/erd22jzpxrd11.jpg?width=1505&format=pjpg&auto=webp&s=d83e0de6283b47b1210a912d26e23dd8023d3afc
For example, there are bots aligned with online shopping portals that can actually sense your liking and disliking. They can cancel orders for you accordingly and order the stuff that you actually want. Businesses are now moving way ahead than what anyone had ever thought of earlier. If we have an amazing concept like messenger or Kore.aiBots Platform, then why not use them to the full extent. Their proficiency in collecting massive data in a short period of time can be used to forecast upcoming business. You know it better how to get edgy with this interesting concept. The more you experiment with chatbots, the more you would get to know the wonders you can create with these little machines.
Some of the Global 2,000 companies and large enterprises are using Kore.ai Bots Platform to build their chatbots. How about you?
To get everything you need to build and deploy intelligent, enterprise-grade chatbots — without unnecessary complexity, click on Build your first BOT.
To ask questions, get tips, learn and grow with Kore.AI developer community, click on Ask questions on Developer Community.
Also Read on : Chatbots (of) the Future
Thank You
Phani Marupaka
LinkedIn| Tweet at : @phani_teja

Businesses devise a billion ways of wooing customers, every day. If a chatbot can be a useful accomplice toward that end, why not give it a try? Afterall, who wouldn’t want a tool that can hold an intelligent conversation with customers, make them feel comfortable and bind them to your business.
Is it possible?
Recall that memorable scene from the award winning 2003 film, Lost in Translation, where an aging American actor, Bob Harris (played by Bill Murray), is on a set in Tokyo to shoot a whiskey commercial. The director, Yutaka Tadokoro, begins instructing Bob in Japanese, and the slapdash interpreter fails to capture the meaning—namely, it gets lost in translation. The process bogs down, and the commercial is a disaster.
https://preview.redd.it/6vqwiux3urd11.jpg?width=220&format=pjpg&auto=webp&s=fd5151869d3e932a32f56fc969406633cd3ba623
You don’t want human-to-computer interactions to end up that way, right? But one-way communications prove to be too exasperating to users. People give up on trying to get a machine understand their intentions in a few clicks and presses. There’s that missing vibe, that interactive component in any human-computer engagement; and it’s the main reason a vast majority feels they must adapt to the technologies they use, rather than technology adapting to them.
Enter 2018, and we have artificial intelligence (AI)-driven chatbots that are revolutionizing human-computer interactions just the way the humans want it. Chatbots today are more adaptive to the way people speak and mimic their emotions to the nearest binary. 2018 is paving the way for a great chatbot innovation.
https://preview.redd.it/27twgl16urd11.png?width=800&format=png&auto=webp&s=c2a83408e1f5a9495428fff1f4cc0414d30b8d84
Meanwhile, developers are working tirelessly to bring in new consumer experiences to market. For example, once WhatsApp opens to bots next year, it will unlock direct access to over one billion new users. Chatbots are continuing to push the envelope of new technology further.
To reckon with, a chatbot isn’t an additional handle on your website or a fancy add-on. It’s the need of the hour for every business that’s flourishing or aspires to flourish. In a market that’s fiercely competitive, customers expect to receive accurate information quickly enough to make a decision. As a business owner, you need to cater to that need. If you don’t have funds to recruit more people to answer all the questions customers throw at you, then deploying a smart chatbot can rescue your business in that case.
But then intelligence also matters as it determines the kind of tasks or conversations your chatbot can handle. Needless to say, if you have a clear set of activities preconceived in your mind, you can build awesome customized bots.
Let’s take you through a short read about 5 important things that can make a chatbot intelligent.
1. Bots need to understand human conversations:
The bot needs to be quick and intelligent enough to understand the context of the conversation happening in real time. It’s about sense and sensibility, in conversations.
Normal human conversations are replete with instances of switching over context while talking, while at work - resuming a task, discarding the current task and switching to a newer one, or in general hold a task while the other is being executed and work on follow on. Human conversations tend to switch between contexts and variables (intents and entities), often combining multiple things into one.
Sample this response to a flight booking bot for example, "My Destination? San Francisco. But how's the weather over there?"
What should be the bot’s response here - capture the entity and continue booking or check the weather before that?
In this case, chatbots need to

• have context switching abilities to handle interruptions smartly and provide full control to developers in defining the experience
• capture unattended interruptions from a conversation flow and keep them accessible
• be equipped with human conversations and have the ability to hold and resume a dialog for a certain amount of time and execute the tasks in sequential order, and especially while understanding human emotions

You may argue that a bot is after all a machine and cannot absorb emotions, but all said and done, it also depends partly on how much capability you build into it. So, it must be clever enough to filter the feelings of the customer. The bot needs to understand, analyze and respond based on the human emotion. For instance, if a customer messages an online shopping portal saying, “Your service is amazing, the delivery of items are always 2 to 3 days delayed”, none can miss the biting sarcasm intended in the statement. But if the bot isn’t developed to cater to this sort of sentiment, it may end up answering in a horribly awry manner.
Intelligent bots will have: Sentiment analysis, context switching, hold and resume feature.
2. Standardization and uniformity in bot utterances
It’s important to remember that a chatbot must give vibes closest to humans as much as possible. The way humans carry the stamp of their personality and style, bots too need to be enabled to do that. When asked about something, a bot must respond in a particular way and pattern that sounds like a human. This warms the usecustomer and makes him feel at ease during the conversation with a chatbot.
“You must have direct connection with your customers as part of your brand’s identity, even more than your website that doesn’t seem to have an identity, this will have a personality.”- William Meisel
Thus, chatbots need to

• understand and remember the user context - make all user information available in a single location and accessible
• store the user profile with information like first name, last name and make it accessible to all the systems for the convenience of the user.
• remember what a specific user talks to a specific bot, in an enterprise scenario it needs to keep certain features such as prompt for ‘Password length’ / ‘folder for HR information, constant for all the employees in the enterprise

It’s important for a chatbot to keep a current task which is being executed in an active mode and store information.
As a corollary, customers appreciate and connect with the support executives (call support executives/shopping store helpers) who can remember their preferences, can validate their purchases, help them with more information on products, and basically give importance to them while attending to their queries. For example, in a Forex platform the currency against each country is maintained constant across all systems for everyone to access. The platform tends to store the first and last name of the customer, their last transaction and their payment options.
Chatbots now have the responsibility to standardize their understanding of a customer and respond to them accordingly, whether in the manner of communicating or the speed with which they resolve their query. Chatbots need to converse with customers to extract this information and keep up to their pace.
Intelligent bots will have features like: Small talk, Bot user session, Enterprise context, User context and User session
3. Making the complex conversation sound simple
Chatbots are expected to break the complex structures of conversations into simpler tones and bring to a logical conclusion. Here’s where ‘Artificial Intelligence’ comes into play. Among the many types of chatbots, the most common ones are task specific that cater to a specific job, with pre-loaded answers and information. These type of chatbots have the ability to gather data from the internet, previous company database and other sources. Therefore, these bots are able to reply to diverse queries.
The intelligent bots, in addition, have the potential to mold the conversation the way the customer wants and guide him towards a specific solution. In an office setup, it’s common for a conversation like, “Hey Lisa, set up a meeting with Phani if he’s free”, to be handled between a Boss and Secretary. To enable that, the chatbot needs to first look up the calendar of ‘Phani’, find a suitable time for a meeting in sync with the Boss’s schedule and then reschedule the meeting. Chatbots thus need to break up complex sounding conversation into simpler nuances and then execute the task sequentially and logically.
Intelligent bots can also break down the conversation to its essence and action items. Let’s look at a very common scenario: ‘Customer tries to book tickets for 14th August, confirms on the choice of airlines, origin and destination and navigates to the next page, but feels that the pricing is very high. The customer then asks the bot to check for ‘15th August instead’. Here, based on the situation, the chatbot is acting and will be able to display the new prices by changing the date of journey.
Intelligent bots will have features like: Amend Entities, Planning.
4. Adapting to human utterances
In the context of human–computer communication, forming assumptions about what a system can do and understand is problematic for most people. In turn, forming assumptions about how users will “talk to” the system is also likely to be problematic for system developers. The potential for variability in how users will communicate with a system is enormous and has been dubbed “The Vocabulary Problem.”
An intelligent chatbot can not only handle queries smartly and remembers them through the session, but also learns new things with every conversation that happens, saves them and uses them appropriately for future instances.
In a human conversation and especially over voice, there are bound to be

• expectation of elaboration or confirmation (“can you hear me?”, “I do not follow”)
• request for repeat of sentences (“ I’m sorry I couldn’t hear that, can you please repeat it again?” “Sorry, can you repeat?”)
• pauses (“can you please hold? [pause] thank you!”)
• interruptions (“the number is 212-” “sorry can you start over?” )

The simplest thing to do when writing responses to command and inquiry utterances in a conversational UI is to get straight to the point: respond with facts. That’ll remove a lot of the ambiguity and simplify the dialogue.
It’s up to the intelligent chatbot to adapt to the way the human responds - with the referential context (or) pauses (or) specific context (or) synonyms (or) repetition (or) abbreviations (or) variations in dialect. The chatbot needs to map it pre-contextually. But like their human counterparts, chatbots’ conversational skills determine whether they earn you seamless, scalable transactions or just another horde of pissed-off customers. This needs a lot of training by the chatbot to help continue the conversations to the logical ending.
Intelligent bots will have features like: Sync, Repeat, Interruptions and Pauses.
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5. When bots are kept simple
Although AI chatbots’ task is complicated and they need to be built up that way, yet the effort should be made to keep it simple. They need to be comprehensive yet detailed. A customer initiating a conversation with a chatbot might already be troubled due to some poor service related issue, hence it’s better not to irk him further with complex interaction. The bot should be answering the already irked usecustomer in a most precise way possible without confusing the person further. It’s easy to figure out if you are talking to a bot or a human. Make sure the customer knows that they are talking to a bot by welcoming them with some sort of welcome message. Nobody likes being told the same thing over and over again, so why do chatbots keep doing it? Bots should detect when they’re about to repeat a previously given answer and switch strategies. If the answer didn’t resolve the user’s needs before, repeating it certainly won’t either. From the user interface, to the dialog flow the experience should be pleasant, and information given to the user needs to be valuable and crisp.
Twitter also provides the option to give your bot a custom name for different sections of the bot, which can be of use. It’s important to show what the chatbot is capable of doing with Quick Replies. The customer needs to be a guided stepwise within the conversation and with enough accessible options to choose from.
Lastly, there must always be a way to end the conversation with the bot and switch to a human agent. Many bots today include a Quick Reply to “Speak to an Agent”. Certain actions, such as open-ended visual search, are challenging to complete in a messaging environment. In those situations, bots can route to a website or app to help the user complete goals they couldn’t execute within the context of chat.
Intelligent bots will have features like: Simple UI, Simpler steps, Agent Handoff
In a nutshell, a chatbot must be programmed to not just provide optimum solutions to problems, but also converse with customers in an engaging manner. The interaction must be exciting and the bot must appear to be curious enough to answer all queries. People prefer lively interactions and a chatbot needs to meet that expectation.
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For example, there are bots aligned with online shopping portals that can actually sense your liking and disliking. They can cancel orders for you accordingly and order the stuff that you actually want. Businesses are now moving way ahead than what anyone had ever thought of earlier. If we have an amazing concept like messenger or Kore.aiBots Platform, then why not use them to the full extent. Their proficiency in collecting massive data in a short period of time can be used to forecast upcoming business. You know it better how to get edgy with this interesting concept. The more you experiment with chatbots, the more you would get to know the wonders you can create with these little machines.
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Also Read on : Chatbots (of) the Future
Thank You
Phani Marupaka
LinkedIn| Tweet at : @phani_teja