A startup that makes human to machine communications as natural
UIB is a Singapore-based startup that innovates and builds Unified Communications (UC), Artificial Intelligence (AI), and Internet of Things (IoT) platform technologies. UIB’s Conversational AIoT platform makes human to machine communications simple.
Growing up, I wanted to be a doctor. Then, when I started studying piano professionally, I wanted to be a concert pianist. My passion for technology started when I was using modems to set up a BBS (Bulletin Board System) in 1992 before experimenting with voice recognition and mobile phones in 1994. I want to empower people to regain control of their digital lives by creating solutions that help us to realize the importance of our attention and to manage it with the awareness to consciously shape our destiny.
My primary job as the CEO of UIB is to create hope and remove fear when it comes to innovation, disruptions caused by technology and startups, and the future of living in a world powered by AI+HI collaboration. It’s already incredible to see the difference we are making for companies and their customers around the world but a lot of work still needs to be done.
“No one succeeds without being authentic with themselves.”
The toughest part of leading a startup is the constant race for innovation while balancing the resources needed with the market forces at play to successfully launch that innovation in the market. If you’re too early, your tech is going be too old, and if you’re too late, you’ll have missed the first-mover advantage. The only way to overcome this challenge is by reading the zeitgeist and the signs of the times better and better.
I define UIB as a ‘universal translator’ between humans and machines, leading a new market category of conversational AI with cognitive IoT capabilities which allows us to “simply communicate.” Communication has become quite complex and with the advent of the Internet of Things (IoT), we now not only communicate with each other but also with our “things.”
“Data doesn’t innovate, humans do!”
With millions of connected devices driving billions of interactions between humans and machines, we use Natural Language Understanding (NLU) to make human to machine communication as simple and as natural as human to human communication (see https://youtu.be/suOXCl3A1v0). We are playing a leading role in giving people choice, whether they decide to own their data (and monetize it themselves), trust a device manufacturer to own their data, or trust a paid service.
In just six years — we just celebrated UIB’s 6th anniversary on February 6 — we built the three integrated platforms (messaging, IoT, and AI) and the underlining IP and technology stack, which enable UIB to be a master translator between all things human and machine. UIB’s team members are connected by this shared purpose. Diversity — supported by our six values of respect, resiliency, accountability, open communications, smart thrift, and global productivity — is UIB’s edge. How and why we do things define us even more than what we make and sell. For example, my CTO and I have worked together for two decades, cementing a track record of successful execution.
“We have entered the golden age of collaboration between humans and AI.”
One of the unique qualities that differentiate UIB is customers 100% owning and controlling their users’ conversational data and analytics, as our platform is fully encrypted end-to-end and also works on-premise. We constantly remind each other to look for ways to think outside of the box by leveraging our creativity, courage, and resourcefulness, and by inspiring, empowering, and showing others how to do the same.
I want UIB to be the company that is known for making human to machine communications as natural, and as simple, as human to human communications. Just as Gottlieb Daimler forever changed transportation, UIB is forever changing communications — allowing people with a single UnificationEngine®-powered SmartContact™ in their smartphone’s Contacts to use natural language text and voice messaging to talk to any cloud-connected software, service, ERP, chatbot, robot, or device on over 30 of the world’s most popular communications channels (including WhatsApp!) in any language.
Source: The Business Fame (https://thebusinessfame.com/startup-that-makes-human-to-machine-communications-as-natural/)
#humantomachinecommunications #ArtificialIntelligence #B2BMagazine #TBFMagazine #TheBusinessFame #OnlineBusinessMagazine #GlobalMediaOrganization
UIB is a Singapore-based startup that innovates and builds Unified Communications (UC), Artificial Intelligence (AI), and Internet of Things (IoT) platform technologies. UIB’s Conversational AIoT platform makes human to machine communications simple.
Growing up, I wanted to be a doctor. Then, when I started studying piano professionally, I wanted to be a concert pianist. My passion for technology started when I was using modems to set up a BBS (Bulletin Board System) in 1992 before experimenting with voice recognition and mobile phones in 1994. I want to empower people to regain control of their digital lives by creating solutions that help us to realize the importance of our attention and to manage it with the awareness to consciously shape our destiny.
My primary job as the CEO of UIB is to create hope and remove fear when it comes to innovation, disruptions caused by technology and startups, and the future of living in a world powered by AI+HI collaboration. It’s already incredible to see the difference we are making for companies and their customers around the world but a lot of work still needs to be done.
“No one succeeds without being authentic with themselves.”
The toughest part of leading a startup is the constant race for innovation while balancing the resources needed with the market forces at play to successfully launch that innovation in the market. If you’re too early, your tech is going be too old, and if you’re too late, you’ll have missed the first-mover advantage. The only way to overcome this challenge is by reading the zeitgeist and the signs of the times better and better.
I define UIB as a ‘universal translator’ between humans and machines, leading a new market category of conversational AI with cognitive IoT capabilities which allows us to “simply communicate.” Communication has become quite complex and with the advent of the Internet of Things (IoT), we now not only communicate with each other but also with our “things.”
“Data doesn’t innovate, humans do!”
With millions of connected devices driving billions of interactions between humans and machines, we use Natural Language Understanding (NLU) to make human to machine communication as simple and as natural as human to human communication (see https://youtu.be/suOXCl3A1v0). We are playing a leading role in giving people choice, whether they decide to own their data (and monetize it themselves), trust a device manufacturer to own their data, or trust a paid service.
In just six years — we just celebrated UIB’s 6th anniversary on February 6 — we built the three integrated platforms (messaging, IoT, and AI) and the underlining IP and technology stack, which enable UIB to be a master translator between all things human and machine. UIB’s team members are connected by this shared purpose. Diversity — supported by our six values of respect, resiliency, accountability, open communications, smart thrift, and global productivity — is UIB’s edge. How and why we do things define us even more than what we make and sell. For example, my CTO and I have worked together for two decades, cementing a track record of successful execution.
“We have entered the golden age of collaboration between humans and AI.”
One of the unique qualities that differentiate UIB is customers 100% owning and controlling their users’ conversational data and analytics, as our platform is fully encrypted end-to-end and also works on-premise. We constantly remind each other to look for ways to think outside of the box by leveraging our creativity, courage, and resourcefulness, and by inspiring, empowering, and showing others how to do the same.
I want UIB to be the company that is known for making human to machine communications as natural, and as simple, as human to human communications. Just as Gottlieb Daimler forever changed transportation, UIB is forever changing communications — allowing people with a single UnificationEngine®-powered SmartContact™ in their smartphone’s Contacts to use natural language text and voice messaging to talk to any cloud-connected software, service, ERP, chatbot, robot, or device on over 30 of the world’s most popular communications channels (including WhatsApp!) in any language.
Source: The Business Fame (https://thebusinessfame.com/startup-that-makes-human-to-machine-communications-as-natural/)
#humantomachinecommunications #ArtificialIntelligence #B2BMagazine #TBFMagazine #TheBusinessFame #OnlineBusinessMagazine #GlobalMediaOrganization
Post
How Artificial Intelligence is Impacting Your Daily Life
The next time you dine at a restaurant, you might end up choosing a dish recommended completely by a software – the cuisine, colour and flavour -without any intervention from a human attendant. And you would not realise it. The first set of these digital restaurants went live with at-Digital Menu four months ago. This counts as a significant leap for Artificial Intelligence in hospitality industry.
For customers, buying online might seem simple- click, pay and collect. But it’s a different ballgame for hotel industry. Behind the scenes, from the kitchen to the guests table, artificial intelligence plays a huge role in automating processes.
Online retailers are employing AI to solve complex problems and make online shopping a smoother experience. This could involve getting software to understand and process voice queries, recommend products based on a person’s buying history, or forecast demand whereas in hospitality industry buying history is not specific to an individual on a usual side an order is placed for plus one or more.
So what’s the big shift?
In terms of industry trends, people are going towards fast decision making driven buy targeted marketing campaigns using AI to process data and predict trends. The new AI-prompted dishes are presented as today’s special dish, so hotels can genuinely test how well these sell when set against regular menu items. Till now, hospitality industry could look at statistics for inputs. But when you need to scale, we are limited by the depth of customer profile available at hand.The next step for anyone before implementing AI is to digitalise the ordering process and get to know more about your customer not just his eating habits but also insight into their daily likes and dislikes. It acts as a gold mine, our AI algorithm gets better with every additional info we capture and sell ratio for proposed dishes goes high.
Digital sales which has a treasure trove of data collected over the last few years is ripe for disruption from AI. Companies are betting big on AI and pouring in funds to push the boundaries of what can be done with data.
We are applying AI to a number of problems such as medical condition diets, native origin diets, question answering about menu items, age & ethnic group choices, product recommendations, product search, forecasting product demand based on climate/festivities, etc.
An example of how AI is used in recommendations could be this: if you started your search on at-Digital Menu with, say, a cheese sandwich with veggies and your next search is for an espresso and muffin, the algorithm understands what is motivating you.
We start with personalisation based on search pattern clubbed with body type (Kapha, Pita & Vayu), it is key. If you have multiple cuisines with hundred of items then it is an issuer your customer get to the product that he wants? We step in here to give your customers precisely what they are looking for.
A related focus area for AI is recommending the right spices as this can vary across cuisines.
AI Ecosystem
A number of AI-focused startups are also working on automating manual tasks in ecommerce. For example cataloging, If not done properly, searching for the right product becomes cumbersome and shoppers might log out.
Few AI companies also offers a host of other services such as sending personalised emails to their clients’ customers, automating warehouse operations and providing analysis and forecasting.
The other big use of AI is to provide business intelligence. AI deliver insights using computer vision, meaning visual intelligence, for example, a dark red shirt now dark red is subjective,You cannot translate dark red, so AI pulls information from the internet and show it visually.
Few are also trying to use AI to predict for customers the exact time of product delivery. However, its not that simple it depends on what time somebody placed an order, what was happening in the rest of the supply chain at that time. It is a complicated thing to solve but organisations are trying to make it simpler using AI.
The next big challenge for AT Ventures
One of our next focus is to offer a 24×7 virtual assistant that can talk in common language and recommend what to eat, when to eat, how much to eat (ha ha ha, myself being a foodie) and where to eat. But realtime mood predictions are difficult to solve. It is very early to even comment on the feasibility of such assistant, for now first step would be to offer support, where a user ask questions like where is my order, how much calories in this item and is it good for my medical condition etc, or instruct like add some more cheese to my burger etc.
Technology giants like Google and Amazon are pushing forward research on artificial intelligence. Already many organizations have shifted customer care on bot agents responding to customers. The next stage is where a customer can connect to bot agent as he connects to Alexa or Siri.
While speech is one crucial area in AI research, vision is another.Any opportunity to improve efficiency and cut cost is of supreme importance. There are a lot of diverse experiments going on, We will certainly see a lot of innovative tech in near future.
Source: The Business Fame (https://thebusinessfame.com/how-artificial-intelligence-impacting-your-daily-life/)
#artificialintelligence #healthcaretechnology #thebusinessfame #B2BMagazine #TBFMagazine #GlobalMediaOrganization #OnlineBusinessMagazine
The next time you dine at a restaurant, you might end up choosing a dish recommended completely by a software – the cuisine, colour and flavour -without any intervention from a human attendant. And you would not realise it. The first set of these digital restaurants went live with at-Digital Menu four months ago. This counts as a significant leap for Artificial Intelligence in hospitality industry.
For customers, buying online might seem simple- click, pay and collect. But it’s a different ballgame for hotel industry. Behind the scenes, from the kitchen to the guests table, artificial intelligence plays a huge role in automating processes.
Online retailers are employing AI to solve complex problems and make online shopping a smoother experience. This could involve getting software to understand and process voice queries, recommend products based on a person’s buying history, or forecast demand whereas in hospitality industry buying history is not specific to an individual on a usual side an order is placed for plus one or more.
So what’s the big shift?
In terms of industry trends, people are going towards fast decision making driven buy targeted marketing campaigns using AI to process data and predict trends. The new AI-prompted dishes are presented as today’s special dish, so hotels can genuinely test how well these sell when set against regular menu items. Till now, hospitality industry could look at statistics for inputs. But when you need to scale, we are limited by the depth of customer profile available at hand.The next step for anyone before implementing AI is to digitalise the ordering process and get to know more about your customer not just his eating habits but also insight into their daily likes and dislikes. It acts as a gold mine, our AI algorithm gets better with every additional info we capture and sell ratio for proposed dishes goes high.
Digital sales which has a treasure trove of data collected over the last few years is ripe for disruption from AI. Companies are betting big on AI and pouring in funds to push the boundaries of what can be done with data.
We are applying AI to a number of problems such as medical condition diets, native origin diets, question answering about menu items, age & ethnic group choices, product recommendations, product search, forecasting product demand based on climate/festivities, etc.
An example of how AI is used in recommendations could be this: if you started your search on at-Digital Menu with, say, a cheese sandwich with veggies and your next search is for an espresso and muffin, the algorithm understands what is motivating you.
We start with personalisation based on search pattern clubbed with body type (Kapha, Pita & Vayu), it is key. If you have multiple cuisines with hundred of items then it is an issuer your customer get to the product that he wants? We step in here to give your customers precisely what they are looking for.
A related focus area for AI is recommending the right spices as this can vary across cuisines.
AI Ecosystem
A number of AI-focused startups are also working on automating manual tasks in ecommerce. For example cataloging, If not done properly, searching for the right product becomes cumbersome and shoppers might log out.
Few AI companies also offers a host of other services such as sending personalised emails to their clients’ customers, automating warehouse operations and providing analysis and forecasting.
The other big use of AI is to provide business intelligence. AI deliver insights using computer vision, meaning visual intelligence, for example, a dark red shirt now dark red is subjective,You cannot translate dark red, so AI pulls information from the internet and show it visually.
Few are also trying to use AI to predict for customers the exact time of product delivery. However, its not that simple it depends on what time somebody placed an order, what was happening in the rest of the supply chain at that time. It is a complicated thing to solve but organisations are trying to make it simpler using AI.
The next big challenge for AT Ventures
One of our next focus is to offer a 24×7 virtual assistant that can talk in common language and recommend what to eat, when to eat, how much to eat (ha ha ha, myself being a foodie) and where to eat. But realtime mood predictions are difficult to solve. It is very early to even comment on the feasibility of such assistant, for now first step would be to offer support, where a user ask questions like where is my order, how much calories in this item and is it good for my medical condition etc, or instruct like add some more cheese to my burger etc.
Technology giants like Google and Amazon are pushing forward research on artificial intelligence. Already many organizations have shifted customer care on bot agents responding to customers. The next stage is where a customer can connect to bot agent as he connects to Alexa or Siri.
While speech is one crucial area in AI research, vision is another.Any opportunity to improve efficiency and cut cost is of supreme importance. There are a lot of diverse experiments going on, We will certainly see a lot of innovative tech in near future.
Source: The Business Fame (https://thebusinessfame.com/how-artificial-intelligence-impacting-your-daily-life/)
#artificialintelligence #healthcaretechnology #thebusinessfame #B2BMagazine #TBFMagazine #GlobalMediaOrganization #OnlineBusinessMagazine
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There are many places to learn about these courses, the best place is learning from #itechnets online resources. Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) actually mean and how they're different DL is a subset of ML, and ML is a subset of AI. Usually, when a computer program designed by AI researchers actually succeeds at something. I can also suggest you the Best itechnets Online Courses.
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Learn AI is a well-advanced concept of #Data #Science. Today #Artificial #Intelligence is so popular today that you can probably use for numerous times per day without knowing it. So it is the main branch of Artificial Intelligence which is based on the idea that systems can learn from identify patterns, learn from data and make decisions with minimal human
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Artificial intelligence is seen mostly everywhere, even in the mist of an upcoming digital agency that are building themselves in the industry. Application of AI is dominating in the industrial sectors, as most customers seem to hover around the usage of automation. #artificialintelligence #ai #machinelearning #ml #digitalagency #digitaltransformation #digitalsolution https://www.postboxcommunications.com/blog/artificial-intelligence-machine-learning-playing-major-role-market-industries/
