5G ANALYTICS AND MONETIZATION

February 19, 2019 | 40 views

With 5G the talk is more than just about the network. 5G will be transformational, with the coming of the new RAN, beamforming, mmWave etc. Yet, for mobile operators this is as much about business transformation as it is about network transformation.  It’s about new business models and growing revenue streams, collaboratively working across the value fabric of 5G. For this to happen, operators need deeper insights from the mobile network than just how it is performing.

Spotlight

evozon

Software is what we eat for breakfast. The same goes for lunch and dinner. With over 13 years of experience and more than 500 people, we’ve helped dozens of enterprises achieve their digital goals. Either by starting early in the digitization phase or by getting involved later on in the growth stage, we become an integral part of our clients’ business. As end to end software development providers, we cover various industries while maintaining a consistent approach to deliver top notch solutions.

OTHER ARTICLES
FUTURE TECH

Is Progressive Web Apps the Way of the Future for Mobile?

Article | July 26, 2022

Progressive Web Apps (PWAs) enable cross-platform interoperability by giving users access to open web technologies. PWAs give your users an app-like experience that's tailored to their particular device. PWA development is a collection of best software development practices for making a web application behave like a mobile or desktop app. PWAs work similarly to mobile apps providing push notifications and a home screen icon. Progressive web applications, on the other hand, are more straightforward and faster than standard mobile apps, and they can be shared via a URL. According to Statista, there are around 3.5 billion smartphone users globally who utilize a variety of devices with various connection speeds and constantly changing conditions. Web App Vs. Progressive Web App The number of mobile users has expanded dramatically in recent years, necessitating the development of a better mobile web experience. Smartphones are utilized for a variety of purposes, such as reserving a cab or finding the nearest restaurant. Users expect a positive experience with their mobile devices in order to complete these tasks quickly. However, traditional websites are unable to give that experience for a variety of reasons, ranging from poor loading speeds to ambiguous user interfaces. Here's where web apps come in, which provide a better user experience regardless of the device or browser you're using. A typical web app is a website that can be accessed using a URL. Furthermore, these web apps contain several features that give them the appearance and feel of native apps, but they cannot be installed on any device. A progressive web app is the next step that can be installed on a device and appears and feels like a native app. You don't need to use a URL; just install a PWA on your device and run it like any other native app by clicking its icon on the home screen. Case Study Pinterest Pinterest built its new mobile web experience from the ground up as a PWA, with an eye toward worldwide expansion. However, due to poor mobile performance, the social network discovered that only 1% of its mobile users converted into sign-ups, logins, or app installs. Realizing that there was a big chance to boost conversion, they rebuilt the mobile web utilizing PWA technology, which resulted in a number of excellent outcomes: when compared to the prior mobile web, time spent is up 40%, user-generated ad income is up 44%, and core engagements are up 60%. Ali Baba Users of Alibaba's app were dissatisfied with their experience and refused to download or install the app. As a result, Alibaba had to make a progressive web application to make the experience much better for both first-time users and regular customers. As a result, seasoned users were re-engaged thanks to a significantly better experience for first-timers, push alerts, and home screen shortcuts. Alibaba could swiftly improve its re-engagement rate to match that of its native apps. To Sum It Up Developers may create the most excellent progressive apps using standard frameworks like React, Angular, Vue, Polymer, Ionic, and others, which have several advantages over native mobile apps and regular web pages in terms of functionality, user offline experience, and device space usage. Because of their superiority to native desktop and mobile apps in recent years, Progressive Web Programs have emerged as a wonderful alternative to those apps. PWAs take up less space on consumers' smartphones than native apps, encouraging people to install them. Because of caching capabilities, PWAs can work offline because some content is cached during the first visit to the app. Developing a great progressive web app necessitates a strong working relationship with a technical partner. Larger companies can also tap into the PWA industry by giving their users limited access to a PWA and then letting them pick how they want to continue. Overall, you should invest in PWA in 2022 since user experience is critical in this competitive market.

Read More
AI TECH

What Are The Best Programming Languages To Develop AI Solution

Article | July 20, 2022

As Artificial Intelligence becomes more popular, it’s essential to know the best programming languages AI uses. If you’re trying to code an AI software solution and don’t know which programming language(s) to use, it can hinder – even hurt – your development process. However, there are a lot of choices when it comes to programming languages you could use to develop an AI solution. So if you’re wondering what the best programming languages for AI are, you’re at the right place! Top 12 The Best Artificial Intelligence Programming Languages 1. Python Python development is one of the most popular programming languages globally and a top choice for AI developers. It’s easy to learn, runs on multiple platforms, and provides an interactive environment that allows you to quickly test ideas and make changes without waiting for a compile or deployment phase. Python development is also one of the fastest-growing languages in popularity and employment opportunities. You can use Python development in various AI applications, including natural language processing (NLP), machine learning, deep learning, and robotics. Python development has also been used in data science applications such as web scraping, web crawling, and scraping data from websites. 2. LISP LISP stands for List Processing Language or LISt Processor. It is a functional programming language that makes it easy to create functions that can manipulate lists of data items. John McCarthy created this language at MIT in 1958. It remains in use today because it is still an excellent vehicle for research in logic programming and because of its continued wide use in artificial intelligence applications such as natural language processing for semantic web applications. LISP is also great for creating neural networks because it can easily manipulate the network’s weights, which is usually the most challenging part of building a neural network. 3. R R is a free software environment for statistical computing and graphics that runs on multiple platforms, including Windows, Unix, macOS X, and Linux operating systems. Ross Ihaka created R and Robert Gentleman at the University of Auckland, New Zealand, in 1993, originally under the name “S.” R provides different analysis methods such as linear regression, generalized linear models, time series analysis, classification, and clustering. The main advantage of using R is that it allows users to develop complex algorithms without having to write complicated code or spend time debugging the code. Its popularity has increased significantly over time due to its ease of use and flexibility from simple linear regressions to multi-level modeling approaches. 4. C++ It is one of the most popular and widely used programming languages for developing AI solutions. It is a general-purpose language used to create software applications, operating systems, and other programs. Bjarne Stroustrup originally developed C++ to enhance C with object-oriented features. Its popularity has increased due to its ability to support multiple paradigms, including object-oriented programming (OOP), imperative and procedural programming techniques, generic programming, and others. 5. JavaScript Netscape Communications Corporation developed JavaScript in 1995, but the standardization of JavaScript only began in 1997 when Ecma International adopted it as ECMAScript. JavaScript is a programming language used by over 65% of developers to create interactive web pages. It is prevalent because you can run it on all modern browsers without installing plug-ins or additional software. You can use JavaScript to create web pages and applications on web browsers and mobile devices like smartphones and tablets. JavaScript also has an object-oriented structure, making it easy for programmers to build complex programs using multiple objects. 6. Java Java is one of the most popular programming languages in the world. As a platform, it has excellent support for AI development. You can use Java for developing machine learning algorithms, deep learning frameworks, and other tools. Many of the most popular libraries and frameworks are written in Java, including Hadoop and TensorFlow. Java is also very popular with enterprises because it has excellent performance, scalability, and portability across different operating systems and hardware platforms. 7. Haskell Haskell is an excellent choice for AI development because it allows for the use of a functional programming paradigm. It means that it will enable you to write your code in a way that focuses on composing functions together instead of focusing on variables and data structures. While this may not seem like a big deal, it makes it easier to reason about your code and make changes without introducing errors. Haskell also has strong type inference capabilities, which allow you to focus on what your program does rather than how it does it. It also makes writing tests and ensuring that your code works as expected without manually testing every possible case. 8. Julia Julia is a high-level, high-performance programming language that makes coding fast and efficient. It’s great for AI development because it’s flexible and easy to learn. Julia combines the speed of C with the usability of Python, making it ideal for numerical computing. Julia is a multi-paradigm programming language that allows you to write code in numerous styles – from functional to imperative, object-oriented to metaprogramming – all within the same program. You can hire an AI developer to take advantage of the best tools for each task instead of forcing everyone down a single path. 9. Prolog One of the most popular programming languages for developing AI solutions is Prolog. It was developed in 1972 and used for decades as a powerful logic programming language. Prolog uses an underlying theory called predicate logic based on facts, rules, and inference. Prolog became popular due to its ability to represent knowledge in a form that can be queried and reasoned about. It makes it ideal for solving problems that require reasoning about the world. Another reason Prolog is so famous for developing AI solutions is because it allows you to hire AI developers to combine logic programming with declarative programming through pattern matching and unification. 10. Scala Scala is a general-purpose programming language that runs on the Java virtual machine. It can be used in distributed and parallel systems, developing scalable software applications. Scala is easy to learn because it integrates object-oriented languages with functional programming features. It was developed by Martin Odersky in 2001 at École Polytechnique Fédérale de Lausanne in Switzerland as an academic research project. Many companies have used Scala to develop AI applications. It has an advantage over other programming languages because it allows to hire AI developers to get the best of both worlds, i.e., object-oriented and functional programming paradigms. Scala is statically typed and uses JVM for execution. You can use Scala for building web applications and big data applications. 11. RUST The Rust programming language is one of the most popular languages for developing AI solutions. It was developed by Mozilla and was released in 2010. The main goal of Rust is to provide a safe, fast, productive, and memory-safe language. Performance is one of the main features of the rust programming language because it can work on a low level with C/C++ and other systems programming languages. Rust is also suitable for machine learning because you can use it to write efficient code without sacrificing safety or performance. 12. Wolfram Wolfram is a programming language and environment for technical computing, data science, and machine learning. Students, teachers, researchers, and commercial developers worldwide develop applications that range from technical and scientific to financial analysis, music generation, and art creation. Wolfram is a great place to start if you’re new to programming because it has a clean syntax that makes it easier to understand than other languages. It’s also inherently visual – you can build your code by dragging blocks together on a canvas. So you don’t need to spend time learning how to write code from scratch before getting started.

Read More
AI TECH

Web 3.0: New Horizon of Internet

Article | July 11, 2022

Web 3.0, or as it is commonly known as Web3, is the future avatar of the world of the internet and it is based on decentralization. The present-day internet, or Web 2.0 as it should correctly be referred to, has contributed a lot more to transforming the way we live than any other tool in the universe. Web2 has been a key part of building the digital world we live in today, from Snapchat and Instagram filters to using Augmented Reality (AR) to catch Pokémon. Web3 and Metaverse are the most popular buzzwords today. With the decentralized network, Web 3.0 means that instead of having a few large companies control all the data, users will have equal access to control their data. Web3 also promises to enhance data and network privacy. What does Web 3.0 Mean for Businesses? Web 3.0 presents enormous opportunities for businesses. Let’s explore some of the ways in which Web3 will benefit from this new technology. Enhance Transparency and Trust Web 3.0 technology may help organizations and their consumers boost transparency and trust. Blockchain technology, for instance, can contribute to the creation of a tamper-proof record of transactions. This would help businesses increase customer trust by giving customers a clear picture of how they do business. Increased Security Presently, in Web 2.0, all of your data is saved in one spot in a centralized system. As a result, it is prone to exploitation. However, nothing is more crucial to a company than data security. Web 3.0 technologies decentralizes your data and assists in increasing its security. Deeper Customer Insights Web 3.0 can also help organizations acquire customer insights. How? Web 3.0 brings in data anonymization that allows businesses acquire customer data without fetching their personal data. It also helps businesses scale consumer data at large without any compromise on privacy. The data then gathered through customer insights can be utilized to enhance products and services. Finer Data Searchability Businesses can also deploy Web 3.0 technology to improve the searchability of their data. Using technologies for the semantic web can help make a data web that is easy for machines to search. This would make it easy for companies to get the information they need quickly and without wasting money or time on manual data searches. Better User Experience (UX) By offering a more customized web, Web 3.0 technologies can assist in enhancing the user experience. Artificial intelligence and machine learning algorithms can assist in giving each user a personalized experience that is suited to their specific requirements. As a result, consumer satisfaction and loyalty will rise. Web 3.0 Possible Business Applications Some of the most common possible areas where Web3 will definitely have an effect are: Social Media Web 3.0 transforms how app developers create social media apps. It returns ownership of data from platforms to end-users, making story-spinning and data exploitation impossible, as in the Facebook Cambridge Analytics Scandal. Currency Exchange Service Centralization fails in money exchange. Mt. Gox's $460 million bitcoin hack is a failure. Decentralized exchanges prevent hacker breeding grounds. Web 3.0 will see decentralized exchanges gain popularity for smooth user trades without hackers or lack of transparency. Messaging Platforms Messaging has always played an essential role in our lives. At work, Slack and Telegram replace Facebook Messenger and WhatsApp. Unsafe message transmission and centralized solutions make messaging systems exploitable. Web 3.0 messaging applications like ySign, Obsidian, e-Chat, etc., leverage Blockchain to protect users' privacy and security. Summing-up The Internet's evolution has been substantial, and this trend will undoubtedly continue. Web 3.0 will revolutionize the way we engage with the digital world, and the transition will affect more than just individuals. This will lead to more honest and transparent use of customer data, from tailored search results to cross-platform development tools and 3D graphics. A much more immersive and engaging web is on the way. The new Internet will be around very soon! Let's welcome Web 3.0 with open arms!

Read More
SOFTWARE

Natural Language Processing: An Advanced Implementation of AI

Article | June 1, 2022

Natural Language Processing, also known as computational linguistics or NLP, is a branch of Artificial Intelligence (AI), Machine Learning (ML), and linguistics. It is a subfield of AI that enables computers or machines to understand, manipulate, and interpret human language. Simply put, natural language is the natural method by which humans communicate with one another. We have now trained computers to interpret natural language. Communicating with computers has become simpler with voice queries such as "Alexa, what's the news today?" or "Ok Google, play my favorite songs." Similarly, when you ask Siri, Apple's voice assistant, "What is the cheapest flight to New York later today?" It instantly searches airline and travel websites for flights from the user's location to New York. It also compares the prices and lists the one with the lowest fare first. So, even without specifying a date or the "lowest fare", Siri understands the inquiry and returns accurate results. This is the result of NLP in action. Natural Language Processing: Business Applications Natural language processing has a variety of applications, some of them are listed below. Summarize text blocks to extract the most relevant and core concepts while excluding unnecessary information. Develop a chatbot that makes use of Point-of-Speech tagging to enhance customer support. Chatbots are AI systems that use NLP to engage with people through text or voice. Determine the type of extracted entity, such as a person, location, or organization. Sentiment Analysis can be used to recognize the sentiment or emotions of a text string, ranging from highly negative to neutral to very positive. HR teams can utilize NLP-based solutions to scan resumes based on keyword synonyms and swiftly shortlist candidates from a pile of resumes. Extracting Text data from the data storage allows in extracting specific information from text. Text can be broken down into tokens, or words can be reduced to their root or stem. Topic categorization helps users organize unstructured text. It's a great way for businesses to obtain insights from customer feedback. How Can Businesses Prepare for the NLP-Powered Future? NLP has evolved tremendously, and has benefited both companies and consumers. NLP technologies are assisting businesses to better understand how consumers perceive them through channels such as emails, product reviews, social media postings, surveys, and more. AI technologies can be used not just to analyze online interactions and how people speak about companies but also to automate tedious and time-consuming operations, enhance productivity, and free up staff to concentrate on more meaningful duties. When it comes to NLP the sky is the limit. As NLP technology is becoming more prevalent and greater advancements in ability are explored, the future will witness enormous shifts. Here are some of the ways in which businesses can prepare for the future of NLP. Analyze your company's text data assets and evaluate how the most recent techniques can be used to add value. Understand how you can use AI-powered language technology to make wiser decisions or rearrange your skilled labor. Start implementing new language-based AI tools for a range of jobs in order to better understand their potential. Prepare now to capitalize on transformative AI and to make sure that advanced AI contributes to society fairly. Closing Note Thanks to natural language processing technology, conversational commands and everything related to conversational AI in businesses have become faster and better. Natural language processing helps large businesses make flexible choices by revealing consumer moods and market movements. Smart companies now make decisions based not only on data but also on the intelligence derived from NLP-powered system data.

Read More

Spotlight

evozon

Software is what we eat for breakfast. The same goes for lunch and dinner. With over 13 years of experience and more than 500 people, we’ve helped dozens of enterprises achieve their digital goals. Either by starting early in the digitization phase or by getting involved later on in the growth stage, we become an integral part of our clients’ business. As end to end software development providers, we cover various industries while maintaining a consistent approach to deliver top notch solutions.

Related News

GENERAL AI,AI APPLICATIONS,INNOVATION

Botco.ai Launches Instachat Builder to Enable Rapid AI Chat Deployment

Botco.ai | August 19, 2022

Botco.ai, the leading HIPAA-compliant conversational marketing solution, announced today the launch of Instachat Builder, a new product that accelerates AI chat deployment by allowing Botco.ai customers to directly train Botco.ai’s chatbot on any type of text information. Traditionally, chat applications required extensive manual training before they could begin fielding customer questions, but with Instachat Builder, companies can train Botco.ai’s conversational AI platform on any relevant text information in minutes. This new approach enables teams to launch intelligent chatbots immediately — thereby speeding up deployment, boosting response rates, and reducing fallbacks. "Historically, launching a chat application was time-consuming. "Companies needed to manually formulate the question and answer pairs they wanted their AI chat to handle. Instachat Builder shortcuts this entire process by automatically transforming any relevant text into training material, allowing our customers to launch powerful chatbots capable of instantly answering hundreds or thousands of questions — with only a few clicks.” Jacob Molina, Product Manager at Botco.ai Instachat Builder is an AI-driven application that derives question-and-answer training pairs from PDFs, HTML files, document files, call center transcripts, or any other kind of text information. Users can feed Instachat Builder presentations, product manuals, FAQ pages, etc., and the application automatically extracts the relevant content. After extraction, Instachat Builder translates the relevant raw content into question-and-answer pairs that can be used to train AI chatbots. Users can review all automatically generated pairs before they are used for training. The Instachat Builder is powered by a combination of machine learning and natural language processing (NLP), two technologies which Botco.ai has notably pioneered in the conversational marketing cloud. Instachat Builder helps Botco.ai customers by providing: Faster deployment: Instachat Builder accelerates the training process, allowing users to launch intelligent chat on day one with predictable 98% accuracy. Improved response rates: Instachat Builder improves response rates by enabling users to rapidly expand the range of topics intelligent chat can competently handle. Instant marketing insights: Marketers receive conversational reporting data directly following deployment, gleaning insights on the user journey, customer retention, SEO and more. Reduced fallbacks: Instachat Builder reduces the need for human intervention by making it easy to develop highly-capable intelligent chat. “The issue with AI-driven chat has always been doing the work required to deploy,” said Chris Maeda, Co-founder and CTO at Botco.ai. “That is where Instachat Builder comes in. Using this tool, we are able to transform useful content that companies have on hand into training material, cutting a process that used to take weeks down to a few minutes. Give us your existing text documents and we’ll give you a chat application." About Botco.ai Botco.ai is a HIPPA-compliant, AI-powered conversational marketing cloud solution that can be implemented at scale to improve engagement rates. Today, the company offers industry-leading authoring, webchat, and AI machine-learning capabilities to quickly and effectively convert more customers in healthcare, wellness, addiction, behavioral health, physical therapy, and senior living centers. Botco.ai's Integrated Analytics Dashboard provides a comprehensive view of chat campaigns across multiple messaging channels such as web and Facebook Messenger. The API-based interface can be used to transfer leads, transcripts, and data into enterprise sales and marketing automation products like Salesforce, Hubspot, Adobe Marketing Cloud, Zoho as well as leading EHR and scheduling systems. Botco.ai is the recipient of the Arizona Innovation Challenge "Most Outstanding Startup" award and a graduate of Alchemist Accelerator Class XXV, the #1 accelerator for enterprise startups.

Read More

AI TECH,AI APPLICATIONS

UJET Launches AI-Modeled Interaction Design to Identify and Value Optimal Virtual Agent Deployments

UJET | August 19, 2022

UJET, Inc., the world’s most advanced cloud contact center provider, today announces advanced AI-guided customer service operations that leverage hundreds of thousands of customer insights to drive enhanced customer experience (CX) capabilities and automated virtual agent responses. “Contact center demand is rising as labor shortages continue. As a result, wait times are longer than ever, service is suffering and customers are rightfully irritable. AI can and should take on a more prominent role to keep businesses running smoothly and customers happy. “Our latest AI technology holds immense potential to transform organizations and when designed correctly, can dramatically improve experiences, enhance efficiency, raise productivity, and drive growth.” Vasili Triant, Chief Operating Officer at UJET UJET’s AI-modeled Interaction Design for Virtual Agents helps companies identify the most common customer needs, informed by large-scale AI insights directly from customers, and then automates their resolution without consuming countless staff hours. Leveraging conversational AI and machine learning powered by Google’s CCAI Insights, UJET architects a contact center’s optimization roadmap to unlock the human and machine capabilities. With topic and conversation analysis, companies can get a prioritized list of the virtual agents they need to make the biggest difference for CX. This improves key customer care metrics such as wait time, self-service rate, first-call resolution and much more. The data gathered has dozens, if not hundreds of actionable insights and capabilities, including: Resolving recurring points of customer concerns, such as issues with payment methods, passwords, website/app rendering on different platforms and much more. Proactively address rising trends in complaints or returns before they become a bigger problem. Harnessing customer insights based on repeated requests for new product lines or enhancements to existing products/services. Gathering competitive intelligence directly from end-users. Hear directly from customers on what they liked or didn’t like with a previously tried competitor. "There's tremendous value in contact center data, and most current use cases leverage call data to automate answers to common questions. While a good start, UJET is using Google AI to go even further. This solution is using contact center data to optimize the entire CX flow by first identifying the best opportunities for automation,” says Dave Michels, principal analyst and founder of TalkingPointz Research. “With UJET, companies get massive-scale analysis of actual customer data, prioritized ideal use cases for virtual agents, and a detailed ROI and value analysis on those use cases. This use of conversational AI focuses more on overall CX rather than just automation.” UJET offers a fundamentally different way of thinking so companies can make automation their competitive advantage and help customer experience shift from cost center to value creator. About UJET UJET is reimagining the contact center for modern consumers and brands. Our one-of-a-kind architecture delivers an entirely new foundation for security, reliability, and scale across customer service operations. A full voice and digital engagement suite is complemented by powerful AI and advanced analytics capabilities, and easy-to-use, intuitive design to make life easier for everyone involved - from customers and agents to supervisors and executives - all while driving meaningful operational efficiencies. Smart device capabilities like channel blending, photo and video sharing, and biometric authentication are available to deploy for full CX transformation when you’re ready. Innovative brands like Instacart, Turo, Wag!, and Atom Tickets trust UJET to deliver exceptional CX, no matter their size or location. So can you.

Read More

INNOVATION,SOFTWARE

OutPLEX Announces Key Partnership with Amazon Web Services

OutPLEX | August 18, 2022

OutPLEX, a leading voice and digital business process outsourcing organization, has announced a new partnership with Amazon Web Services (AWS) via the Amazon Partner Network (APN). In joining the APN, the Fort Lauderdale, FL based company adds the capability to provide global brands with AWS-powered customer contact services backed by the world’s “gold standard” in cloud computing technology. The partnership was brought about by the growing need for seamless integration between omnichannel customer contact experiences while ensuring customer data protection. In today’s customer experience (CX) landscape, it is imperative that companies are available to answer questions in real-time, at all times. Combining OutPLEX’s 20+ years of experience in CX management with the power of Amazon Connect, organizations of all sizes can be assured a seamless transition into the digital age of customer interaction. When asked about the new partnership, OutPLEX’s Director of Analytics and Business Intelligence, Declan Ryan, stated that “At OutPLEX, our primary mission is to provide clients with the most cutting-edge technology to maximize efficiency and customer satisfaction while reducing brands’ labor costs. Joining the Amazon Partner Network and utilizing AWS tools allows us to do just that.” In teaming up with Amazon, OutPLEX’s plans to utilize the APN Connect offering to meet clients’ needs. Amazon Connect enables OutPLEX to provide top-notch voice and digital messaging solutions. Caller authentication and fraud risk detection, real-time speech and sentiment analysis, unified customer profiles, and natural language chatbot design and management are just a few key features OutPLEX offers clients as a part of this partnership. Utilizing the AWS artificial intelligence service Amazon Lex for chatbot design, clients can be assured that they’re getting state-of-the-art conversation mapping utilizing the same natural language understanding that powers Amazon Alexa, allowing for improved customer interactions without the need for a live agent. OutPLEX looks forward to this partnership with Amazon Web Services, and the opportunities it offers to give clients the exemplary customer experience OutPLEX is known for. ABOUT OUTPLEX OutPLEX is a leading international digital and voice CX outsourcing organization developing solutions for the world's most trusted brands. Utilizing its innovation centers and highly skilled engagement experts, OutPLEX is the largest provider of digital customer engagement globally. Since 2001, OutPLEX has successfully transacted billions of customer experiences on its clients' behalf via phone, digital messaging, social media, conversational AI, and more with a track record of quality service and delivery that provides greater ROI for their clients.

Read More

GENERAL AI,AI APPLICATIONS,INNOVATION

Botco.ai Launches Instachat Builder to Enable Rapid AI Chat Deployment

Botco.ai | August 19, 2022

Botco.ai, the leading HIPAA-compliant conversational marketing solution, announced today the launch of Instachat Builder, a new product that accelerates AI chat deployment by allowing Botco.ai customers to directly train Botco.ai’s chatbot on any type of text information. Traditionally, chat applications required extensive manual training before they could begin fielding customer questions, but with Instachat Builder, companies can train Botco.ai’s conversational AI platform on any relevant text information in minutes. This new approach enables teams to launch intelligent chatbots immediately — thereby speeding up deployment, boosting response rates, and reducing fallbacks. "Historically, launching a chat application was time-consuming. "Companies needed to manually formulate the question and answer pairs they wanted their AI chat to handle. Instachat Builder shortcuts this entire process by automatically transforming any relevant text into training material, allowing our customers to launch powerful chatbots capable of instantly answering hundreds or thousands of questions — with only a few clicks.” Jacob Molina, Product Manager at Botco.ai Instachat Builder is an AI-driven application that derives question-and-answer training pairs from PDFs, HTML files, document files, call center transcripts, or any other kind of text information. Users can feed Instachat Builder presentations, product manuals, FAQ pages, etc., and the application automatically extracts the relevant content. After extraction, Instachat Builder translates the relevant raw content into question-and-answer pairs that can be used to train AI chatbots. Users can review all automatically generated pairs before they are used for training. The Instachat Builder is powered by a combination of machine learning and natural language processing (NLP), two technologies which Botco.ai has notably pioneered in the conversational marketing cloud. Instachat Builder helps Botco.ai customers by providing: Faster deployment: Instachat Builder accelerates the training process, allowing users to launch intelligent chat on day one with predictable 98% accuracy. Improved response rates: Instachat Builder improves response rates by enabling users to rapidly expand the range of topics intelligent chat can competently handle. Instant marketing insights: Marketers receive conversational reporting data directly following deployment, gleaning insights on the user journey, customer retention, SEO and more. Reduced fallbacks: Instachat Builder reduces the need for human intervention by making it easy to develop highly-capable intelligent chat. “The issue with AI-driven chat has always been doing the work required to deploy,” said Chris Maeda, Co-founder and CTO at Botco.ai. “That is where Instachat Builder comes in. Using this tool, we are able to transform useful content that companies have on hand into training material, cutting a process that used to take weeks down to a few minutes. Give us your existing text documents and we’ll give you a chat application." About Botco.ai Botco.ai is a HIPPA-compliant, AI-powered conversational marketing cloud solution that can be implemented at scale to improve engagement rates. Today, the company offers industry-leading authoring, webchat, and AI machine-learning capabilities to quickly and effectively convert more customers in healthcare, wellness, addiction, behavioral health, physical therapy, and senior living centers. Botco.ai's Integrated Analytics Dashboard provides a comprehensive view of chat campaigns across multiple messaging channels such as web and Facebook Messenger. The API-based interface can be used to transfer leads, transcripts, and data into enterprise sales and marketing automation products like Salesforce, Hubspot, Adobe Marketing Cloud, Zoho as well as leading EHR and scheduling systems. Botco.ai is the recipient of the Arizona Innovation Challenge "Most Outstanding Startup" award and a graduate of Alchemist Accelerator Class XXV, the #1 accelerator for enterprise startups.

Read More

AI TECH,AI APPLICATIONS

UJET Launches AI-Modeled Interaction Design to Identify and Value Optimal Virtual Agent Deployments

UJET | August 19, 2022

UJET, Inc., the world’s most advanced cloud contact center provider, today announces advanced AI-guided customer service operations that leverage hundreds of thousands of customer insights to drive enhanced customer experience (CX) capabilities and automated virtual agent responses. “Contact center demand is rising as labor shortages continue. As a result, wait times are longer than ever, service is suffering and customers are rightfully irritable. AI can and should take on a more prominent role to keep businesses running smoothly and customers happy. “Our latest AI technology holds immense potential to transform organizations and when designed correctly, can dramatically improve experiences, enhance efficiency, raise productivity, and drive growth.” Vasili Triant, Chief Operating Officer at UJET UJET’s AI-modeled Interaction Design for Virtual Agents helps companies identify the most common customer needs, informed by large-scale AI insights directly from customers, and then automates their resolution without consuming countless staff hours. Leveraging conversational AI and machine learning powered by Google’s CCAI Insights, UJET architects a contact center’s optimization roadmap to unlock the human and machine capabilities. With topic and conversation analysis, companies can get a prioritized list of the virtual agents they need to make the biggest difference for CX. This improves key customer care metrics such as wait time, self-service rate, first-call resolution and much more. The data gathered has dozens, if not hundreds of actionable insights and capabilities, including: Resolving recurring points of customer concerns, such as issues with payment methods, passwords, website/app rendering on different platforms and much more. Proactively address rising trends in complaints or returns before they become a bigger problem. Harnessing customer insights based on repeated requests for new product lines or enhancements to existing products/services. Gathering competitive intelligence directly from end-users. Hear directly from customers on what they liked or didn’t like with a previously tried competitor. "There's tremendous value in contact center data, and most current use cases leverage call data to automate answers to common questions. While a good start, UJET is using Google AI to go even further. This solution is using contact center data to optimize the entire CX flow by first identifying the best opportunities for automation,” says Dave Michels, principal analyst and founder of TalkingPointz Research. “With UJET, companies get massive-scale analysis of actual customer data, prioritized ideal use cases for virtual agents, and a detailed ROI and value analysis on those use cases. This use of conversational AI focuses more on overall CX rather than just automation.” UJET offers a fundamentally different way of thinking so companies can make automation their competitive advantage and help customer experience shift from cost center to value creator. About UJET UJET is reimagining the contact center for modern consumers and brands. Our one-of-a-kind architecture delivers an entirely new foundation for security, reliability, and scale across customer service operations. A full voice and digital engagement suite is complemented by powerful AI and advanced analytics capabilities, and easy-to-use, intuitive design to make life easier for everyone involved - from customers and agents to supervisors and executives - all while driving meaningful operational efficiencies. Smart device capabilities like channel blending, photo and video sharing, and biometric authentication are available to deploy for full CX transformation when you’re ready. Innovative brands like Instacart, Turo, Wag!, and Atom Tickets trust UJET to deliver exceptional CX, no matter their size or location. So can you.

Read More

INNOVATION,SOFTWARE

OutPLEX Announces Key Partnership with Amazon Web Services

OutPLEX | August 18, 2022

OutPLEX, a leading voice and digital business process outsourcing organization, has announced a new partnership with Amazon Web Services (AWS) via the Amazon Partner Network (APN). In joining the APN, the Fort Lauderdale, FL based company adds the capability to provide global brands with AWS-powered customer contact services backed by the world’s “gold standard” in cloud computing technology. The partnership was brought about by the growing need for seamless integration between omnichannel customer contact experiences while ensuring customer data protection. In today’s customer experience (CX) landscape, it is imperative that companies are available to answer questions in real-time, at all times. Combining OutPLEX’s 20+ years of experience in CX management with the power of Amazon Connect, organizations of all sizes can be assured a seamless transition into the digital age of customer interaction. When asked about the new partnership, OutPLEX’s Director of Analytics and Business Intelligence, Declan Ryan, stated that “At OutPLEX, our primary mission is to provide clients with the most cutting-edge technology to maximize efficiency and customer satisfaction while reducing brands’ labor costs. Joining the Amazon Partner Network and utilizing AWS tools allows us to do just that.” In teaming up with Amazon, OutPLEX’s plans to utilize the APN Connect offering to meet clients’ needs. Amazon Connect enables OutPLEX to provide top-notch voice and digital messaging solutions. Caller authentication and fraud risk detection, real-time speech and sentiment analysis, unified customer profiles, and natural language chatbot design and management are just a few key features OutPLEX offers clients as a part of this partnership. Utilizing the AWS artificial intelligence service Amazon Lex for chatbot design, clients can be assured that they’re getting state-of-the-art conversation mapping utilizing the same natural language understanding that powers Amazon Alexa, allowing for improved customer interactions without the need for a live agent. OutPLEX looks forward to this partnership with Amazon Web Services, and the opportunities it offers to give clients the exemplary customer experience OutPLEX is known for. ABOUT OUTPLEX OutPLEX is a leading international digital and voice CX outsourcing organization developing solutions for the world's most trusted brands. Utilizing its innovation centers and highly skilled engagement experts, OutPLEX is the largest provider of digital customer engagement globally. Since 2001, OutPLEX has successfully transacted billions of customer experiences on its clients' behalf via phone, digital messaging, social media, conversational AI, and more with a track record of quality service and delivery that provides greater ROI for their clients.

Read More

Events