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  • Artificial Intelligence in the Cloud — Comparing Google Vertex AI vs. Amazon SageMaker

    Artificial Intelligence in the Cloud — Comparing Google Vertex AI vs. Amazon SageMaker

    Cloud solutions make it easier for businesses to manage, track, and move their apps, files, and other resources to the cloud without having to deal with many obstacles.

    Several benefits exist for moving to the cloud, including increases in scalability, security, and flexibility, as well as decreases in cost and environmental effects.

    Artificial Intelligence in the cloud enables businesses to train, test, and deploy deep learning models using cloud infrastructure and services. The leading cloud providers are Amazon AWS, Google GCP, and Microsoft Azure. All three providers provide quality, highly scalable and secure cloud solutions and a huge set of cloud services.

    This article focuses on cloud artificial intelligence services, specifically Google Vertex AI, and Amazon Sagemaker. Microsoft Azure also provides AI services through Azure AI, which I would also recommend, but for this article we will focus on Google Vertex AI, and Amazon Sagemaker.

    Google Cloud Platform (GCP)

    The Google Cloud allows you to host virtual machines (VMs) on a wide variety of hardware and operating systems through their Compute Engine. VMs can be used to host your website, web applications, or other services, and provide you terminal OS access to most Linux based operating systems. You can also enable ssh to allow remote access to your VM from your own computer.

    Google Cloud makes it easy to create, start, and stop a VM, and billing is charged by the minute, which makes it easy to run experiments or tests on high end hardware with keeping costs low.

    Google provides disk, image, and snapshot resources within its Compute Engine. Files can also be stored in Google Cloud Storage to allow network access and sharing of files.

    Google Vertex AI

    Google Vertex AI provides a cloud service to make it easier to train, test, and deploy deep learning models in the cloud.

    Vertex AI provides AutoML as an easy way for non developers to start training a model. AutoML supports a UI for training models for image, tabular, text, and video. This provides an easy way to get started, but for most projects you will want a lower level of configuration through code.

    Python is the overwhelmingly dominant language for deep learning. Most deep learning models are based on Python frameworks such as TensorFlow, PyTorch, or Apache MXNet. Python can be either through a terminal and your favorite code editor, or through Jupyter Notebooks. Jupyter notebooks provide a web based UI for editing and running Python scripts.

    Vertex AI provides a Jupyter notebook based environment through Vertex AI Workbench. Vertex AI Workbench makes it easy to create and share Jupyter notebooks with your team.

    Vertex AI is mainly geared to training models using TensorFlow Enterprise, but do also support creating VMs configured for PyTorch.

    Once you have trained your model, you can deploy it using Vertex AI endpoints. Vertex AI endpoints provide a way to enable access to your model as a cloud service.

    Vertex AI allows you to train models using very high end GPU and TPU servers. This is the main advantage of cloud AI, as most development organizations do not have their own high end GPU hardware, and training high models on traditional hardware is not feasible.

    Amazon Web Service (AWS)

    AWS allows you to host virtual machines (VMs) on a wide variety of hardware and operating systems through their EC2 service. VMs can be used to host your website, web applications, or other services, and provide you terminal OS access to most Linux based operating systems. You can also enable ssh to allow remote access to your VM from your own computer.

    AWS makes it easy to create, start, and stop a VM, and billing is charged by the minute, which makes it easy to run experiments or tests on high end hardware with keeping cost low.

    AWS provides disk, image, and snapshot resources within its EC2. Files can also be stored in AWS S3 to allow network access and sharing of files.

    Amazon SageMaker

    Amazon SageMaker provides a cloud service to make it easier to train, test, and deploy deep learning models in the cloud.

    Sagemaker provides Jumpstart as an easy way for non developers to start training a model. Jumpstart supports a UI for training a wide variety of different models including image, tabular, text, and video. This provides an easy way to get started, but for most projects you will want a lower level of configuration through code.

    Sagemaker provides a Jupyter notebook based environment through Sagemaker Studio. Sagemaker Studio makes it easy to create and share Jupyter notebooks with your team.

    Sagemaker is more framework agnostic than Google, and provides Jumpstart models and VM configuration for Apache MXNet, PyTorch, and TensorFlow. Most of their Jumpstart models tend to be based on Apache MXNet.

    Once you have trained your model, you can deploy it using Sagemaker Edge Manager. Edge Manager endpoints provide a way to enable access to your model as a cloud service. Sagemaker also provides a service Sagemaker NEO for deploying your model to various hardware and devices.

    Sagemaker allows you to train models using very high end GPU servers. This is the main advantage of cloud AI, as most development organizations do not have their own high end GPU hardware, and training high models on traditional hardware is not feasible

    Bot Libre and the Cloud

    Although cloud providers do their best to make it easy to start a cloud AI project, cloud platforms and services are still very complex environments with a huge amount of different services to understand, and AI in general is a complex subject. Bot Libre and Paphus Solutions have many years of experience in cloud services, cloud AI, and AI and deep learning. If you are considering a cloud AI project, we can help you get started and develop your service through our development services.

    The Bot Libre Enterprise Platform provides a cloud agnostic solutions for chatbots, AI, and deep learning services. Bot Libre can be deployed to Google GCP, Amazon AWS, Microsoft Azure, and many other lower cost cloud providers. Bot Libre and Paphus Solutions also provide cloud AI development services either using the Bot Libre platform, Vertex AI, SageMaker, as well as custom Python projects.

    For all your development and cloud AI needs, contact Bot Libre at sales@botlibre.com

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    Artificial Intelligence in the Cloud — Comparing Google Vertex AI vs. Amazon SageMaker was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • How to Integrate a Dialogflow bot with Telegram

    Telegram has been growing in popularity ever since it was launched close to a decade ago. The app has nearly 540 million users, which is a staggering number. The app offers a powerful alternative to WhatsApp and Facebook Messenger and claims to be more secure than both of these platforms. Speed and security are Telegram’s USPs.

    Without further ado, here are the steps to integrate Telegram with Kommunicate.

    The integration presented in this blog post will teach you how to:

    • Create a New Bot for Telegram
    • Connect a Bot to Kommunicate

    How to connect a chatbot to Kommunicate

    Open Your Kommunicate Dashboard

    Step 1: Click Integrations

    Step 2: Click the Telegram card setting link

    Step 3: Paste the API key into the Telegram integration card from the Kommunicate Dashboard and click the “Save and Integrate” button.

    How to create a new bot for Telegram

    Open Telegram messenger, sign in to your account or create a new one.

    Step 1: In the search bar, search for @botfather

    Note: official Telegram bots have a blue checkmark beside their name

    Step 2: Select the BotFather channel and click /start.

    Click on the “Send” button.

    Step 3: Select /newbot — create a new bot.

    Step 4: Add a bot name to call (Kommunicate_Telegrambot) and enter the bot name to display (Kommunicate321_Telegrambot)

    Step 5: Copy the API key that is generated under “Use this token to access the HTTP API”

    After creating the Telegram bot, follow the steps to trigger the Dialogflow chatbot.

    Step 1: Click on the link to open the chatbot you created on Telegram

    Step 2: Click on START to initiate a chat, once you click on START, you will send a message to Kommunicate. Next, the Dialogflow chatbot will start answering with the Welcome message you trained on the Dialogflow side.

    Make sure you have selected the Dialogflow chatbot on the RULES section of the Kommunicate dashboard. Check here to build and integrate the Dialogflow chatbot if you still need to create one.

    This is how your Kommunicate dashboard will look after the integration is complete:

    You have now created your new bot for Telegram.

    Originally Published on https://www.kommunicate.io/ at 29th October 2022


    How to Integrate a Dialogflow bot with Telegram was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • Conversational AI: An opportunity for Small Businesses

    From voice-enabled interfaces to AI-powered virtual assistants or chatbots, Conversational AI is changing the way we live, work and communicate. It is changing the way businesses support their customers, whether helping them with their queries or purchase decisions. Adding a Conversational AI to your business changes the whole business model.

    As per Gartner report, by 2021, 15% of all customer service interactions will be totally taken care of by AI, an increase of 400% from 2017. Yet, customer support is just a small part of the business success story.

    Better customer service is directly proportional to business success. When businesses slide their service standards even to a minute level, they face negative consequences with serious repercussions on the overall business. Tragically, small trades like plumbing and heating services, gyms and personal trainers, laundry and many others, fail to meet the customer expectations in terms of response time, or overall customer experience. The factors that result in a negative effect on customer service are insufficient support staff, lack of real time support, or unable to respond in a timely manner to customer needs.

    Let’s take an example, usual micro to small trade businesses consist of 1 to 20 people and there are days when all of them have tasks that they must attend to, so what happens when a customer calls in for an emergency service? no one is there to respond.

    Result: Angry customer = loss of service

    One missed phone call can be a huge blow to your company’s image and reputation. Customers may leave bad reviews on established websites which can be damaging to your business. Unfortunately the world we live in, society concentrates on the negative before the positive therefore you should be doing everything possible to give your business a positive corporate image. Thanks to the internet, customers nowadays are more likely to do some research about your business before availing themselves of your services or products. If they see a negative review, it will most likely drive them away. Aside from online feedback, poor customer service can get around through the word of mouth. Put yourself in your customer’s shoes: why would you continue dealing with a business that can’t help you when you need them?

    Swifter AI offer

    Web forms vs Phone calls

    Computer-mediated forms of communication are important in this digital age. However, it has been found that most people still prefer using their phones to contact businesses because of its personal touch. An unanswered phone call is a missed opportunity. Did you know that even just one unanswered phone call can significantly affect your revenue? Those missed phone calls are likely to be from potential customers.

    Studies have found that the callback rate of people whose calls you’ve missed is very slim. If you’re lucky, customers may just complain, but still stick with your business. Unfortunately, though, most customers will simply walk away and turn to your competitors if their calls are left unanswered. With every phone call you miss, you provide your competitors with more leads.

    In order to achieve a better customer experience, some businesses will try to do whatever it takes to keep their customers happy. They might hire dedicated customer agents to attend to phone calls or respond to emails to book services and so on, but that will again cost them a lot of money, maybe an office space, or additional IT infrastructure.

    Sounds a lot right! What if there was a solution that could help these small tradespeople increase customer experience and increase sales by leveraging Conversational AI? Indeed, there is: Swifter AI, whose mission is to provide AI driven customer service and tools so that businesses that don’t have front-office staff and physical phones can deal with customer intake and payments, while also paying attention to all incoming calls. With powerful Natural Language Processing (NLP) and omnichannel features, Swifter AI helps small trades implement effective customer communications at low costs.

    Here’s How we Help

    Customer service is the backbone of any business and phone calls still play a very important role in this day and age. When you deliver excellent customer service over the phone, not only do you boost your customer satisfaction and loyalty, but you also ensure the success of your business. This is why Swifter AI can help you with excellent customer service to ensure the success within your business even when you are extremely busy.

    Integrating Swifter AI’s assistants in your small trade businesses has massive benefits.

    24/7 Customer Service

    Think about the time when you had to wait for a long time for a locksmith to come and fix your entrance door. You couldn’t step out of your house the entire day.

    Wasn’t it frustrating?

    Long waiting times can be annoying for customers.

    If you want to provide a customer with a quick appointment for any services you need to ensure that someone or something is there to answer the calls 24/7 irrespective of any time or day. Fortunately, conversational AI technology can be incredibly helpful in this regard.

    They can be available to tackle customer queries 24/7, even from different time zones.

    To get started, all you need is Swifter AI, that has a range of out of the box AI agents that can work in minutes with no programming knowledge required. The platform comes with a custom merchant profile.

    For instance, you can define your own business account with general information like name, contact details, description and create your own list of services and appointment types that customers can book with you.

    And Voila! The AI receptionist will do the customer engagement for you.

    Wider Engagement

    Convenience should be prioritized when it comes to customer experience. What if customers could directly book appointments or make calls without having to switch platforms?

    With Swifter AI-driven solutions, it’s possible to do that.

    You can reach more audiences by connecting with your customers across multiple channels like on your website or Facebook page, Amazon Alexa, Google Assistant, Facebook Messenger and many other popular platforms and devices.

    Scheduling Appointments

    Using Swifter AI you can be in control of your appointments. Your virtual AI receptionist will only book appointments for you when you want and you are free and you’ll receive, in real-time notification by email or SMS. You can also synchronize events with all major calendar platforms like Google Calendar, Outlook, Apple Calendar and others.

    FAQs

    How often were you customers misdirected with a response to their questions? No more with Swifter AI. You can instruct your AI agents how to respond to customers. You can start from a predefined set of questions and answers and customize them as you like. Your receptionist will be trained to your business specificity.

    Full control over your budget and customers “sentiment”

    One of the most important aspects is the ability to manage the AI agent usage over and view your current expenses. Together with our ‘top up account’ feature it gives you more control over the costs as you go. Acquire the advanced ability to see in real-time all the conversation with your customers over the telephone or any other communication platform. Get a glimpse of how the discussion went on, with our built-in sentiment analysis tool. You’ll know exactly the customers’ feedback instantly.

    swifter.ai/ai-gallery

    AI gallery

    Ready to take a Conversational AI leap?

    Conversational AI will stay to help your business support customers, give them a unique experience and ultimately help your small business settle into a profitable business.

    If you’re ready to get started or just want to see how it works, you can register for free by following the link below:

    TRY SWIFTER AI FOR FREE


    Conversational AI: An opportunity for Small Businesses was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • AI Customer Service Comes In Several Flavors

    Depending on the skill and experience of the programmers and system designers, you may get served by a soulless robot with an algorithm designed to see if you are committing fraud, a customer service AI which will ask you endless questions to see if you meet their byzantine requirements for a low risk customer, or possibly a well-designed robot system that provides immediate access to a human being in case of trouble.

    Which of these three AI systems would you prefer to deal with in your business transactions?

    If you choose AI system number 3, you can summon live help when a problem occurs. If you have the misfortune to deal with either of the other two choices, you are dealing with machine logic designed by an inexperienced programmer and when things go wrong you will put your business at risk because the company has decided to save money on salaries and you will not get human help without threats of litigation or public exposure via the internet.

    There is a growing awareness of the need for human intervention in AI systems, but you may still encounter a system powered by AIs in the first two categories. If that happens, you should add your voice to the growing number of people writing about customer support problems with AI.

    This is what the best AI designers are working toward:
    Provide paths forward from failure. The trick isn’t to avoid failure, but to find it and make it just as user-centered as the rest of your product. No matter how hard you work to ensure a well-functioning system, AI is probabilistic by nature, and like all systems, will fail at some point. When this happens, the product needs to provide ways for the user to continue their task and to help the AI improve.


    AI Customer Service Comes In Several Flavors was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • With AI Designs, We Can Create Modern Day Golems

    golem: [noun] an artificial human being in Hebrew folklore endowed with life. — Merriam-Webster

    According to legend, a golem was animated by instructions applied to its forehead and could be deactivated when those instructions were removed. The golem had no ability to think or decide. It could only carry out orders. This creature is usually brought to life through magical rituals or procedures and is limited to obeying any order of its creator in a literal way.

    Like a well-designed chatbot, this modern golem simulates life until you present it with information it cannot handle, and then you encounter the implacable unreasonableness of a system that only mimics life but does not demonstrate it.

    When an AI system is presented with data it is programmed to expect, it gives the impression it is capable of making intelligent decisions. When the data you are presenting to the system falls outside the limits of what it is programmed for, the results cannot be predicted and the system response fails its purpose.

    Putting such a golem in charge of your life, as in an automobile or financial transactions, is extreme folly, which is why all AI systems interfacing with human beings should provide an override to access human support.

    The trap we can fall into is that these AI designs are incredibly efficient when presented with inputs limited to what they are designed for. This lulls the inexperienced designer to assume they have covered all possible cases and not provide a means to override the design in case of failure.

    This means that a poorly designed AI system handling human problems acts like a wood chipper which does not distinguish between human hands and the wood it is designed to chip. Fortunately, wood chippers have a manual override. Some AI systems do not.


    With AI Designs, We Can Create Modern Day Golems was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • If You Are A Small Business Owner, Would You Trust A Robot To Service Your Customers?

    Most small businesses flourish because of the personal touch that the owners present to their customers. Large firms can maintain a good rapport with their customers by staffing the customer interfaces with personable and competent customer support people.

    When a company completely replaces people with robots, unrecoverable errors multiply and customer trust vanishes.

    If you search the internet for “AI Mistakes”, you will find hundreds of them and the reasons are many and they are not going away yet. The majority of the AI disasters are a result of adopting an AI system with no human backup. Management seeks to reduce payroll to improve the bottom line and automates financial transactions with AI systems scanning for signs of fraud.

    Square has done this and the results are not pleasant. Armed with a list of conditions that indicate a high-risk customer, their AI systems acts swiftly to freeze any account that shows these signs of possible fraud: International financial transactions, Larger than normal transactions ($1000 or greater), and data entry errors on credit card transactions. The presence of any of these will trigger a freeze of funds for 90 days or more.

    Those of you who operate an online business and have international customers have probably encountered all of these frequently and consider them a normal condition of any online business these days. If you are using any of the money processing services of the Square company, you may encounter their implacable AI system which will freeze your funds with no access to a human supervisor. More than 5000 customer complaints can attest to this situation.

    This is a sign that management has bought into the idea that preventing fraud is more important than maintaining good relations with customers and a belief in the infallibility of AI systems. Automated systems rely on predictable data inputs and when this is missing we see self-driving car crashes and money processing systems that freeze your funds arbitrarily.

    The internet abounds with solutions for the inflexibility and error prone operation of AI systems. One of the most applicable is to provide paths forward from failure, from the People + AI Guidebook. If you are using AI in your company, this quote should be posted on every wall.

    Provide paths forward from failure. The trick isn’t to avoid failure, but to find it and make it just as user-centered as the rest of your product. No matter how hard you work to ensure a well-functioning system, AI is probabilistic by nature, and like all systems, will fail at some point. When this happens, the product needs to provide ways for the user to continue their task and to help the AI improve.


    If You Are A Small Business Owner, Would You Trust A Robot To Service Your Customers? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • Phygital — Create More Immersive Experiences

    Phygital — Create More Immersive Experiences

    You can be in your small one-bedroom apartment and host a dinner party in the Maldives, you can sell products from your garage but have customers buy from a lavish top-tier storefront on the East Coast, and you can host hundreds of thousands of people from all over the world at a conference from a small office cubicle.

    Such is the meaning of “Phygital,” the fusion of the physical and digital world to offer an enhanced experience, and it’s the engine that will drive businesses to the metaverse.

    Benefits of a Phygital Experience

    Personalized experiences — your customers’ and guests’ experiences can be customized to their personality, industry, preferences, and even previous online habits. Unlike entering a physical space, where it’s a “one size fits all” experience, a Phygital approach brings your product, service, or event alive in new and exciting ways for each person.

    Sustainability — Inventory management and waste management are major issues for traditional retail stores. Retailers can significantly reduce this problem. Also, for entertainment and business events, overhead costs would be far less, and there would be less depreciation on the environment.

    Invest in Phygital, Invest in the Metaverse

    The concept of this extended reality (XR) that is achieved through Phygital, calls for a greater leveraging of AR and VR expertise. This is due to the metaverse’s impending arrival, allowing Phygital to use hybrid virtual places to enhance and augment the physical experience.

    The Bot Libre Metaverse Enterprise allows a diverse set of businesses in health, retail, finance, and gaming to engage with the metaverse. By joining the Beta Program, members can work with and alongside a team of AI and metaverse experts from Canada, Asia, and the Caribbean to develop their business solutions that are suitable for the metaverse.

    If accepted to the program, individuals will benefit from the following assets in building their metaverse space.

    • 3D/VR website
    • 3D Android & iOS app
    • VR Quest app
    • Custom 3D avatar
    • Custom 3D space
    • PLUS integration with blockchain, cryptocurrencies, and NFTs

    For persons interested in participating in this dynamic program, contact sales@botlibre.biz.

    Learned something? Please give us a

    to say thanks and to help others find this article


    Phygital — Create More Immersive Experiences was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • 7 Frameworks to Build Powerful Chatbots

    7 Frameworks to Build Powerful Chatbots

    Consumers are like delicate glass that is supposed to break when not handled carefully. There are countless products that a specific company provides, of which, the origins lay in the customer’s conduct, their reviews for your brand, the belief factor, and how your brand gratifies customers. To marinate this tremendously expectant market when the aim is to offer immediate support, exact solutions, and drive discussions then chatbots supercharged with artificial intelligence come in demand. In this blog, you will find out what a chatbot is, and the frameworks used to develop chatbots.

    Chatbot — An Overview

    A chatbot is a software application used by websites and applications, some of them are developed using angular coding standards. The application can involve in discussion with a human and comprehending their needs. And after getting the person’s point, chatbots help them to attain the desired results. Building great Customer Retention Management requires a lot of time and effort as well. However, the chatbot helps you to scale up your company cycle and also handles the CRM routine like a pro. This application understands human language and responds to clientele like a real individual is speaking to you.

    Image Demonstrates Chatbots Market is Thriving in Every Niche

    Chatbot statistic You Should Know

    • 90% of industries report an improvement in the speed of customer grievance resolution.
    • 80% of chatbot users have reported they have an optimistic experience with chatbots.
    • 23% of consumer service organizations are using AI chatbots as a communication conduit.
    • 69% of customers like the chatbot services as they get instant responses.
    • Giants like Starbucks, eBay, LinkedIn, British Airways, and others are enduring to use chatbots in 2023.
    • Chatbots help businesses condense call, email, and chat inquiries by 70%.
    • 60% of millennial reports the usage of chatbot.
    • The chatbot market is expected to reach $454.8 million in revenue by the year 2027.
    • 25% of tourism and hospitality companies globally use chatbots.

    As of now, you are familiar with chatbots and their market, so, let’s explore the frameworks used to create chatbots.

    7 Frameworks to Build Powerful Chatbots

    Chatbot framework is where bots are built, and their conduct is defined. The bot development frameworks abstract away much of the manual effort that is intricate in emerging chatbots. However, the chatbot framework brags “Write once install anywhere”, and you are more probable to develop a distinct chatbot for your messaging platforms. Following are a few frameworks to build this powerful messaging application software.

    Botpress

    It is an open-source framework used to build chatbots. The framework is typically utilized by the government, insurance companies, and corporates that deliver monetary services. Bot press provides on-site chatbots that improve confidentiality unlike when using cloud-based chatbots.

    Pros of Botpress

    • It is simply customizable.
    • The documentation delivered is easy to comprehend and use.

    Cons of Botpress

    • It offers restricted features.
    • The framework usages high learning curves.

    Pandora Bots

    This chatbot-creating framework uses the AI Markup Language (AIML). You can build AI-compelled virtual mediators to support human-like text or voice conversations for customers. This framework supports multi-language, cross-channel, voice-enabled, lithe, and extensible RESTful APIs. The industries such as entertainment, e-learning, education, and virtual assistant are using the Pandora Bots framework.

    Pros of Pandora Bots

    • Effortlessly add speech to text and vice versa.
    • Deploy to messaging or voice channels.
    • No podium locks in.

    Cons of Pandora Bots

    • Less accurateness.
    • Need to learn AIML.

    RASA

    It is an open-source framework for developing contextual chatbots. As there are many frameworks obtainable but most of them offer elementary functionalities like replying to static FAQs or predefined questions. However, the RASA framework offers more than that. It builds a more sophisticated chatbot and offers the feeling of human collaboration.

    RASA has two major elements RASA NLU and RASA Core. RASA NLU is accountable for understanding the natural language and RASA core plays a vital role in creating intellectual, conversational contextual chatbots.

    Pros of RASA

    • RASA builds enormously customizable chatbots. The creator can employ several pipelines to process discussions with the customers.
    • The chatbots can run as simple HTTPS servers.

    Cons of RASA

    • Chatbots built by the Framework are resource intensive on the server side.
    • It does not endow straight incorporation with messaging podiums straight out of the box.

    Wit.ai

    It is an open-source chatbot development framework introduced by Facebook. The framework is used to create applications and devices that customers can talk to. It facilitates users to use their voice to control appliances, lighting, smart speakers, and more. This chatbot-building framework uses the Wit.ai NLP engine to comprehend customer’s intent and provide valuable information

    Pros of Wit.ai

    • Support more than 80 languages.
    • Easy to deploy.
    • Integrates with messengers, wearable devices, etc.

    Cons of Wit.ai

    • Learning the NLP engine in Wit.ai is difficult.
    • Challenging to recover missing parameters.

    IBM Watson

    IBM Watson framework utilizes modern technologies such as machine learning and artificial intelligence. This chatbot developing framework uses Watson AI, Machine learning, and Natural Language Understanding to cram from earlier patron conversations.

    The framework lets enterprises retain data that flows through it. This is a distinctive feature since other trademarked vendors of chatbot frameworks gather the information assembled by their chatbots.

    The framework’s confidentiality offer isolates the information collected by their assistants in a secretive cloud. This is done to save proprietary perceptions acquired from consumer interaction.

    Pros of IBM Watson

    • The framework security policies promote data privacy. Data privacy has become a huge concern in this era of technical advances, and IBM is leading the change.
    • It lets unified phone integration. When the chatbot gets a request that it cannot resolve, it joins the client to a telephony platform to get further help.

    Cons of IBM Watson

    • The framework does not permit the end user to get chat history.
    • It is a complex framework.

    Amazon Lex

    This chatbot-building framework is offered by Amazon Web Services that uses Artificial Intelligence. The framework incorporates several technologies offered by Amazon to aid in its functionality. It uses Amazon Cognito for the consumer verification process. It then uses Automatic Speech Recognition to translate audio into text. This framework utilizes Amazon Polly Services for transforming text to human speech. The interconnection of numerous technologies improves the functionality of chatbots built using this framework.

    Pros of Amazon Lex

    • The framework supports various podiums and disposition of them is through one click process.
    • It has automatic scaling competencies.

    Cons of Amazon Lex

    • It is not multilingual as it supports English only.
    • The data planning process is very complex.

    Dialogflow

    The framework allows developers to build intelligent chatbots that comprehend various language dynamics as it is supported by Google’s Cloud Natural Language. It is used to develop conversational applications for consumers in different languages and on numerous platforms.

    Pros of Dialogflow

    • It supports around 20 languages worldwide.
    • The framework offers Software Development Kits for 14 platforms.

    Cons of Dialogflow

    • The framework does not provide live consumer support.

    Wrapping up

    Chatbots are an effective solution to improve consumer services. No matter how well the technology of a business is, if you do not provide good patron support, your company suffers. This is the reason entrepreneurs these days Hire AngularJS developers and are adopting chatbot services at a rapid pace. Hope the above-mentioned chatbot frameworks help you to pick a suitable one for your business.

    https://chatbotslife.com/

    7 Frameworks to Build Powerful Chatbots was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • Step-by-Step Guide to Build BambooHR Chatbot [2022]

    Table of contents

    1. What is BambooHR Chatbot?
    2. How does BambooHR Chatbot work?
    3. What is BambooHR Chatbot used for?
    4. Best BambooHR Chatbot platform
    5. AI-powered BambooHR automation with BambooHR Chatbot
    6. How to Build BambooHR Chatbot Without coding
    7. Business benefits of the BambooHR chatbot
    8. Conclusion

    In a matter of only a few months, the world as we know it has changed drastically, stumbling into survival mode as it struggles to adapt to new realities. This is equally true for the global workforce, as people are learning to deal with rapid shifts, health scares, financial strains, and domestic challenges that can be stressful and confusing. As a result, human resources (HR) has become one of the single most important functions for any organization in these unprecedented times.

    While businesses continue to make hard decisions to stay afloat and minimize job losses, HR teams work in tandem with business heads to engage employees and keep up the morale, reconfigure workflows, redeploy talent, and upskill staff to help them stay relevant. The HR team is often tasked with providing much-needed emotional support to employees while ensuring the continued productivity of each individual.

    What is the BambooHR Chatbot?

    BambooHR Chatbot is an AI-powered no-code platform for building contextual chatbots with automated workflows for various business apps like Slack or Microsoft Teams. Using BambooHR Chatbot, companies benefit by automating repetitive issues, saving costs, reducing time to resolution, delivering faster support, and more.

    How does the BambooHR Chatbot work?

    BambooHR chatbots use Natural Language Processing to understand a user’s intention or utterances for initiating a conversation with it as well as to extract required data from a user’s query and pass it to the automation to resolve the user’s issue in real-time.

    So, think of how intelligent chatbots work, but with the BambooHR chatbot, it can not only have those benefits but also extend the functionalities of the BambooHR tool using advanced integration and workflows.

    If an HR AI chatbot tackles monotonous chores, HR managers would have more time to concentrate on keeping staff motivated and address greater issues such as employee happiness and lower employee attrition.

    While the HR staff is dealing with situations needing their attention, the HR chatbot may help team members communicate. When an employee requests a paper, an HR chatbot may provide it in seconds.

    On the other hand, a manager would have to search for the paper, which may take several hours. The additional time spent searching for that document may produce stress between the employee and the boss, therefore, the chatbot relieves the manager of that burden and enables proactive involvement.

    HR Bamboo chatbot applications include:

    • HR chatbots are being used for recruiting operations.
    • Using HR chatbots to assist current workers
    • Using HR chatbots to automate basic HR tasks

    What is the BambooHR chatbot used for?

    If you are one of the HR professionals struggling with the balancing act, moving from spreadsheets and paper-based processes to automated workflows certainly makes sense.

    Here are some reasons why streamlining the workflows with HR automation in the pandemic era would be a good decision for your business.

    1. Save time and focus on critical issues

    With HR automation, it becomes possible to streamline everyday tasks such as creating customized onboarding documents, gathering payroll information, and more. It cuts the excessive workload on the HR employees and reduces burnout on mundane administrative work. Rather, they can focus on strategic and critical aspects such as policies and procedures to be implemented on reopening.

    2. Accelerate onboarding and offboarding processes

    Modern employee onboarding software with enterprise-grade compliance simplifies and standardizes HR processes like onboarding and offboarding. Typically, it can handle the nitty-gritty of onboarding and streamline the offboarding process as well.

    Best BambooHR Chatbot platform

    Workativ Assistant is an AI-powered no-code platform for building contextual chatbots with automated workflows for business apps. Workativ Assistant’s chatbots can be easily added to your Slack/Microsoft workspace so that your employees can self-serve their IT issues on the go, anytime.

    Integrating BambooHR with Workativ Assistant ensures your employees get the IT/HR support they’d love.

    No Code — Get Your Free BambooHR Chatbot.

    Smarter AI-powered BambooHR automation with BambooHR Chatbot

    Here are some of the BambooHR tasks that Workativ can take care of for you.

    1. Centralized Employee Database

    By connecting BambooHR with Workativ, keep all your employee-related information in an interactive database that can integrate into other programs. It updates across the board when data is changed so that everything is up-to-date all the time. You never have to worry about conflicting versions. All the work is done for you.

    2. BambooHR Employee Self-Service

    These days, employees expect on-demand access to the systems they use. Give them the freedom to access their PTO, employment information, tax details, and so forth via Workativ’s BambooHR self-service chatbot. With Workativ’s BambooHR chatbot, employees can access their profiles from anywhere with an Internet connection. They should be able to request time off, review benefits, and more. Invest in a platform like Workativ that enables employees to request time off on the go via chatbot.

    How to Build a BambooHR chatbot

    Step 1. Creating a bot workspace

    When you sign up for Workativ Assistant, you’ll be required to name your workspace. You can provide the name of your organization as a workspace name.

    Step 2. Download your bot

    Download a prebuilt BambooHR bot from the bot Marketplace

    So that’s all there is to the initial setup of your workspace. Next, let’s download BambooHR workflows

    Step 3. Setting up a BambooHR app workflow

    Let’s download the BambooHR app workflow from the marketplace.

    Click on Download from Marketplace

    Select the BambooHR application

    Select the app workflow

    Connect with your BambooHR account

    Test the app workflow

    Step 4: Now add workflow to the BambooHR chatbot

    Add app workflow to the dialog conversation

    Select the workflow

    Provide the inputs & save it

    Test your BambooHR chatbot

    Step 5: Deploy the BambooHR chatbot in your favorite chat channel

    Steps to build Bamboo HR Chatbot

    https://medium.com/media/fc15bdfdfecc3ca606f0a1072570554b/href

    Business benefits of BambooHR chatbot with Workativ

    Now the benefits are enormous when it comes to integrating and automating BambooHR tasks with Workativ.

    1. No data loss

    As everything is automated, you don’t have to worry about data loss. Workativ’s BambooHR chatbot stores and updates every piece of information that it receives from a user in BambooHR in real time.

    2. Easy Accessibility and Approval

    Workativ’s BambooHR chatbot helps in easy access to information from any place across the globe. It helps management access employee attendance records and approves their leave requests based on that. Meanwhile, employees get notified about their approval/rejection of leave requests and can also track holiday accrual, leave history, etc. via the chatbot.

    3. All from the comfort of your chat hub

    Workativ’s BambooHR AI chatbot proactively resides on your Slack/Microsoft Teams workspace waiting to resolve your employees’ HR queries with BambooHR self-service, 24×7.

    Conclusion

    In conclusion, the BambooHR Chatbot is a great way to help employees keep up with their work and personal lives. It’s easy to use and can be customized to meet your needs.

    Its chat interface is reliable and user-friendly, so you’ll be able to get the most out of it. So, if you’re looking for an efficient way to manage your employee’s communication, the BambooHR Chatbot is the perfect solution for you!

    Workativ enables you to build an AI bot for your workplace in minutes, with no coding required.

    Workativ is a free, no-code SaaS platform that enables businesses to create, automate, and deploy conversational AI chatbots in under an hour. Try our BambooHR chatbot for FREE.

    https://chatbotslife.com/

    Step-by-Step Guide to Build BambooHR Chatbot [2022] was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • How Artificial Intelligence is shaping the Future of Food — TechDuffer

    How Artificial Intelligence is shaping the Future of Food — TechDuffer

    The food industry is one of the biggest industries in the world, and it’s constantly growing. Many people are interested in how things are changing in this industry and how they can take advantage of it.

    The fact that artificial intelligence has been able to enter this industry and make certain processes far more efficient than they were in the past has a lot of people interested in how learning and AI are changing food.

    According to market research, the global artificial intelligence market in the food and beverage market is growing rapidly, with a CAGR of 45.4% during the forecast period. This market was valued at USD 4.49 billion in 2021 and is expected to continue growing in the coming years.

    In this article, we’ll understand how AI drives the future of food.

    Four ways AI is changing the food industry

    Food Sorting

    Food sorting is a process that involves separating different types of food items according to their characteristics and specifications. This is done so that they can be categorized and stored separately. Better food recognition technology results in better quality control and improved productivity.

    Computer vision systems are playing an increasingly popular role in the food industry for the detection of surface defects, contamination, and quality inspection of foods.

    Using food AI will help food manufacturers save time and money while increasing efficiency in their operations. It also helps them produce higher-quality products at lower costs by ensuring that all necessary checks are carried out on time.

    Most companies have already started using artificial intelligence to improve their operations by using big data analytics tools such as predictive analytics software, machine learning algorithms, deep learning technology, and more.

    Food Safety

    Food safety is a growing concern for consumers. According to a WHO report, 600 million people get sick from foodborne illnesses each year worldwide.

    AI can help ensure food safety by identifying potential sources of contamination in real-time and providing actionable insights that can be used to prevent outbreaks before they occur. This process starts with collecting massive amounts of data about food safety risks, followed by analyzing the data using AI-powered models that use machine learning algorithms to identify patterns and predict future outcomes.

    Nutrition

    Nutrition is an industry that has long been affected by AI. Since its early days as a database of ingredients and their nutrition values, nutrition software has evolved into a tool that helps consumers make better choices about what they eat and drink.

    The technology can design menus based on customer preferences, identify potential allergens, calculate calories and other nutrition metrics, and recommend recipes based on current ingredient inventory levels.

    AI tools can also help restaurants manage their inventory more effectively and efficiently than they could before they were widely available, saving time and money while improving customer satisfaction.

    Food Delivery

    AI is playing an increasingly important role in food delivery. By automating order taking and routing, AI can help optimize food delivery operations and improve efficiency. In addition, AI can help identify patterns in customer behavior and preferences, which can be used to improve customer satisfaction.

    For example, by analyzing customer order histories, AI can suggest new menu items or delivery options that may be of interest. Ultimately, AI can help make food delivery more efficient and effective, resulting in a better experience for both customers and businesses.

    How to collect data for AI / ML

    Here are some ways you can do data collection for AI/ML in food businesses:

    Conclusion

    It’s clear that food AI will have a huge influence on how we eat. From fast food chains’ drive towards more customizable menus to a slew of new, innovative restaurants, there are countless opportunities for technology to simplify our eating experiences and improve the quality of our food.

    With the advancement of artificial intelligence and machine learning algorithms, we can expect intelligent food AI to positively impact our health and the overall ecological impact of our food system.

    Author Bio

    Vatsal Ghiya is a serial entrepreneur with more than 20 years of experience in healthcare AI software and services. He is the CEO and co-founder of , which enables the on-demand scaling of our platform, processes, and people for companies with the most demanding machine learning and artificial intelligence initiatives.

    Originally published at https://techduffer.com on November 14, 2022.

    https://chatbotslife.com/

    How Artificial Intelligence is shaping the Future of Food — TechDuffer was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

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