5 cool open source JavaScript libraries to refresh your custom app

The Claris FileMaker 19 release includes one of the most requested features from the Claris Community - the ability to embed JavaScript directly in your custom apps! Now you can use packages from readily-available JavaScript libraries or your own custom code to modernize your apps with data visualization, maps, calendars and more. Here are 5 useful JavaScript libraries you can use to enhance your apps.

Spotlight

Coditas

Coding skills are the basis of your success in a software career. Software coder whose coding skills are superior will always be employed and companies of any size will fight to get the good coder. Coding skill is your asset. Learn the art of coding and upgrade your coding skills to code beautiful applications from Coditas

OTHER ARTICLES
Software, Low-Code App Development, Application Development Platform

Are Telcos Ready for a Quantum Leap?

Article | July 3, 2023

Quantum technologies present both an opportunity for telcos to solve difficult problems and provide new services and a security threat that could require extensive IT investment. Are Telcos Ready for a Quantum Leap? When Andrew Lord, Senior Manager, Optical Networks and Quantum Research at BT, first started presenting quantum technologies at customer events six or seven years ago, his was the graveyard shift, he says, entertaining attendees at the end of the day with talk of 'crazy quantum stuff.' "But that is no longer the case," says Lord. "Over the last two years, I've noticed a shift where I now speak before lunch, and customers actively seek us out." Two developments may be causing the shift: Customers’ growing awareness of the threats and opportunities that quantum computing presents, plus a recent spike in investment in quantum technology. In 2022, investors plowed $2.35 billion into quantum technology startups, which include companies in quantum computing, communications and sensing, according to McKinsey. The public sector has also been digging deep into its pockets. Last year, the United States added $1.8 billion to its previous spending on quantum technology, and the EU committed an extra $1.2 billion, the consultancy noted, while China made total investments of $15.3 billion. According to Luke Ibbetson, Head of Group R&D at Vodafone, quantum computing's promise lies in solving a probabilistic equation within a few hours. This task would take a classical computer a million years to accomplish. This breakthrough would enable telcos to address optimization problems related to network planning, optimization, and base station placement. The flip side is that a powerful quantum computer could also break the public-key cryptography that protects today’s IT systems from hackers. As a spokesperson at Deutsche Telekom remarks: “Telcos will have to react to the threat of quantum computers to communication security because their core business model is at risk, which is offering secure digital communications.” The idea of quantum computing posing a security threat is not new. In 1994, Peter Shor, a mathematician working at AT&T Bell Labs, showed how a quantum computer could solve the logarithms used to encrypt data. “His work simultaneously ignited multiple new lines of research in quantum computing, information science, and cryptography,” according to an article by the Massachusetts Institute of Technology, where Shor is currently working. Beyond The Lab What has changed nearly thirty years on is that quantum computing is creeping out of the lab. Sizeable obstacles to large-scale quantum computing, however, remain. Quantum computers are highly sensitive to interference from noise, temperature, movement or electromagnetic fields and, therefore, very difficult and expensive to build and operate, especially at scale: IBM’s latest quantum processor, for example, operates at a very low temperature of approximately 0.02 degrees Kelvin. When Deutsche Telekom’s T-Labs tested telco use cases, it found quantum computing coped well with small problem statements. “However, when the problem size was scaled to real-world problem sizes, the quality of the QComp solution degraded,” according to the spokesperson. The company is now awaiting the next generation of quantum computing platforms to redo the analyses. All of this means, for now, quantum computers are not large and powerful enough to crack Shor’s algorithm. The question is, when will someone succeed? The Global Risk Institute tracks the quantum threat timeline. In its latest annual report, the organization asked 40 quantum experts whether they thought it likely that within the next ten years, a quantum computer would break an encryption scheme like RSA-2048 in under 24 hours. Over half the respondents judged the event to be more than 5% likely, and almost a quarter considered it to be more than 50% likely. Any breakthrough will come from a relatively small number of actors. Today, governments and academic institutions are home to around half of the 163 projects accounted for worldwide by Global Quantum Intelligence, a research and analysis company, according to its CEO, André M. König, with big technology companies and specialized startups accounting for the rest. Q2K Nonetheless, the impact of quantum computing could be widespread, even if relatively few of them are built. The challenge of preparing for a post-quantum future is often called Q2K in reference to the Y2K bug. In the late 1990s, many (but not all) governmental organizations and companies spent millions of dollars on Y2K systems integration to ensure that IT programs written from the 1960s through the 1980s would be able to recognize dates after December 31, 1999, all while being uncertain of the scale or the impact of the risk if they didn’t. ‘Q2K’ differs in that there is no specific deadline, and the dangers of a major security breach are much clearer cut. However, it is similar in demanding a lot of work on aging systems. “Cryptography is used everywhere,” points out Lory Thorpe, IBM’s Director of Global Solutions and Offerings, Telecommunications. She adds, “Because telco systems have been built over periods of decades, people don’t actually know where cryptography is being used. So, if you start to look at the impact of public key cryptography and digital signatures being compromised, you start to look at how those two things impact open source, how that impacts the core network, the radio network, [and] OSS/BSS, network management, how the network management speaks to the network functions and so on.” This complexity is why some analysts recommend that telcos take action now. “You’re going to find tens of thousands of vulnerabilities that are critical and vulnerable to a quantum attack. So, do you have to worry about it today? Absolutely - even if it’s in 2035,” says König. “Anyone who has ever done [IT implementation projects], and anyone who’s ever worked in cybersecurity [knows], tens of thousands of vulnerabilities that are critical [requires] years and years and years of just traditional integration work. So, even if you’re skeptical about quantum, if you haven’t started today, it is almost too late already.” Don’t Panic! For the past two to three years, Vodafone has been preparing to migrate some of its cryptographic systems to be quantum-safe, according to Ibbetson. He believes there is no need to panic about this. However, telcos must start planning now. König said, "The telecoms industry as a whole is not moving as quickly as some other sectors, notably the banking, pharmaceutical, and automotive industries. In these sectors, post-quantum security planning often involves CEOs at a very strategic level." For this reason, Vodafone joined forces with IBM in September 2022 to establish the GSMA Post-Quantum Telco Network Taskforce. “Even though many industries are preparing to be able to defend against future quantum threats, we didn’t see anything happening particularly in in the telco space, and we wanted to make sure that it was a focus,” says Ibbetson. “Obviously it will turn into an IT-style transformation, but it’s starting now with understanding what it is we need to mobilize that.” AT&T has also been working to pinpoint what needs to be addressed. Last year, the company said it aims to be quantum-ready by 2025, in the sense that it will have done its due diligence and identified a clear path forward. Minding Your PQCs Companies across multiple sectors are looking to post-quantum cryptography (PQC) to secure their systems, which will use new algorithms that are much harder to crack than RSA. König contends that PQC needs to become “a standard component of companies’ agile defense posture” and believes the development of PQC systems by software and hardware companies will help keep upgrade costs under control. “From a financial point of view, vendors do a fantastic job bringing this to market and making it very accessible,” says König. Lord, who has been researching quantum technologies at BT for over a decade, is also confident that there is “going to be much more available technology.” As a result, even smaller telcos will be able to invest in securing their systems. “It doesn't need a big boy with lots of money [for] research to do something around PQC. There’s a lot of work going on to ratify the best of those solutions,” says Lord. There are several reasons why eyes are on software based PQC. Firstly, it can be used to secure data that was encrypted in the past, quantum computing advances will make vulnerable in the future. In addition, the quantum-based alternative to PQC for securing network traffic called quantum key distribution (QKD), comes with a huge drawback for wireless operators. QKD is hardware-based and uses quantum mechanics to prevent interception across optical fiber and satellite (i.e., free space optical) networks, making it secure, albeit expensive. But for reasons of physics, it does not work on mobile networks. Setting Standards Given the importance of PQC, a lot of effort is going into standardizing robust algorithms. The political weight of the US and the size of its technology industry mean that the US government’s National Institute of Standards and Technology (NIST) is playing a key role in the technical evaluation of post-quantum standardization algorithms and creating standards. NIST expects to publish the first set of post-quantum cryptography standards in 2024. In the meantime, Dustin Moody, a NIST mathematician, recommends (in answers emailed to inform) that companies “become familiar and do some testing with the algorithms being standardized, and how they will fit in your products and applications. Ensure that you are using current best-practice cryptographic algorithms and security strengths in your existing applications. Have somebody designated to be leading the effort to transition. QKD There is no absolute guarantee, however, that a quantum computer in the future won’t find a way to crack PQC. Therefore, institutions such as government agencies and banks remain interested in using QKD fiber and satellite networks to ensure the highest levels of security for data transmission. The European Commission, for example, is working with the 27 EU Member States and the European Space Agency (ESA) to design, develop and deploy a QKD-based European Quantum Communication Infrastructure (EuroQCI). It will be made up of fiber networks linking strategic sites at national and cross-border levels and a space segment based on satellites. EuroQCI will reinforce the protection of Europe’s governmental institutions, their data centers, hospitals, energy grids, and more,” according to the EU. Telecom operators are involved in some of the national programs, including Orange, which is coordinating France’s part of the program called FranceQCI (Quantum Communication Infrastructure). Separately, this month, Toshiba and Orange announced they had successfully demonstrated the viability of deploying QKD on existing commercial networks. Outside the EU, BT has already built and is now operating a commercial metro quantum-encryption network in London. “The London network has three quantum nodes, which are the bearers carrying the quantum traffic for all of the access ingress,” explains Lord. For example, a customer in London's Canary Wharf could link via the network to the nearest quantum-enabled BT exchange. From there, it joins a metro network, which carries the keys from multiple customers “in an aggregated cost-effective way to the egress points,” according to Lord. “It is not trivial because you can mess things up and [get] the wrong keys,” explains Lord. “You really have to be more careful about authentication and key management. And then it's all about how you engineer your quantum resources to handle bigger aggregation.” It also gives BT the opportunity to explore how to integrate quantum systems downstream into its whole network. “What I'm telling the quantum world is that they need to get into the real world because a system that uses quantum is still going to be 90%, non-quantum and all of the usual networking rules and engineering practices apply. You still need to know how to handle fiber. You still need to know how to provision a piece of equipment and integrate it into a network.” SK Telecom is also heavily involved in quantum-related research, with developments including QKD systems for the control and interworking of quantum cryptography communication networks. Japan is another important center of QKD research. A QKD network has existed in Tokyo since 2010, and in 2020, financial services company Nomura Securities Co., Ltd. tested the transmission of data across the Tokyo QKD network. As the EU’s project makes clear, satellite is an important part of the mix. Lord expects satellite-based QKD networks to come on stream as of 2025 and 2026, enabling the purchase of wholesale quantum keys from a dedicated satellite quantum provider. Back in 2017, China already used the satellite to make the first very long-distance transmission of data secured by QKD between Beijing and Vienna, a distance of 7,000km. Securing The Edge There are additional efforts to secure communications with edge devices. BT’s Lord, for example, sees a role for digital fingerprints for IoT devices, phones, cars and smart meters in the form of a physical unclonable function (PUF) silicon chip, which, because of random imperfections in its manufacture, cannot be copied. In the UK, BT is trialing a combination of QKD and PUF to secure the end-to-end journey of a driverless car. The connection to the roadside depends on standard radio with PUF authentication, while transmission from the roadside unit onward, as well as the overall control of the autonomous vehicle network, incorporate QKD, explains Lord. SK Telecom has developed what it describes as a quantum-enhanced cryptographic chip with Korea Computer & Systems (KCS) and ID Quantique. Telefónica Spain has partnered on the development of a quantum-safe 5G SIM card and has integrated quantum technology into its cloud service hosted in its virtual data centers. Given China’s heavy investment in quantum technologies, it is no surprise to see its telecom operators involved in the field. China Telecom, for example, recently invested three billion yuan ($434m) in quantum technology deployment, according to Reuters. Quantum in The Cloud Some of America's biggest technology companies are investing in quantum computing. Today, it is even possible to access quantum computing facilities via the cloud, albeit at on small scale. IBM's cloud access to quantum computers is free for the most basic level, rising to $1.60 per second for the next level. And it is just the beginning. America's big tech companies are racing to build quantum computers at scale. One measure of scale is the size of a quantum processor, which is measured in qubits. While a traditional computer stores information as a 0 or 1, a qubit can represent both 0 and 1 simultaneously. This unique property enables a quantum computer to explore multiple potential solutions to a problem simultaneously; and the greater the stability of its qubits, the more efficient it becomes. IBM has a long history in quantum research and development. In 1998, it unveiled what was then a ground-breaking 2-qubit computer. By 2022, it had produced a 433-qubit processor, and in 2023, it aims to produce a 1,121-qubit processor. Separately, this month, it announced the construction of its first quantum data center in Europe, which it expects to begin offering commercial services as of next year. Google is also firmly in the race to build a large-scale quantum computer. In 2019, a paper in Nature featured Google’s Sycamore processor and the speed with which it undertakes computational tasks. More recent work includes an experimental demonstration of it’s possible to reduce errors by increasing the number of qubits. Microsoft reckons that "a quantum machine capable of solving many of the hardest problems facing humanity will ultimately require at least 1 million stable qubits that can perform 1 quintillion operations while making at most a single error." To this end, it is working on what it calls a new type of qubit, a topological qubit. Amazon announced in 2021 an AWS Center for Quantum Computing on the Caltech campus to build a fault-tolerant quantum computer.

Read More
Neural Networks

Empowering Industry 4.0 with Artificial Intelligence

Article | September 15, 2023

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

Read More
Software, Low-Code App Development, Application Development Platform

How Artificial Intelligence Is Transforming Businesses

Article | June 15, 2023

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

Read More

The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

Read More

Spotlight

Coditas

Coding skills are the basis of your success in a software career. Software coder whose coding skills are superior will always be employed and companies of any size will fight to get the good coder. Coding skill is your asset. Learn the art of coding and upgrade your coding skills to code beautiful applications from Coditas

Related News

AI Applications

IntelePeer's AI Call Summary Dashboard Elevates Customer Interactions

IntelePeer | September 15, 2023

IntelePeer, a prominent AI-driven communications automation solutions provider, introduces a new addition to its SmartFlows platform, the Call Summary Dashboard. This innovative dashboard, equipped with AI and automation tools, empowers businesses to optimize omnichannel communication workflows, monitor real-time ROI, and identify cost-saving opportunities. Existing IntelePeer customers can access the Call Summary Dashboard at no extra cost, enabling them to create advanced hyper-automation omnichannel experiences without prolonged development cycles. Frank Fawzi, the CEO of IntelePeer, emphasized the company's dedication to addressing the needs of enterprises for high-quality automated customer interactions. He stated that AI had become a crucial element for businesses, leading to reduced labor costs and improved competitiveness. Fawzi noted that IntelePeer's most recent analytics engine and dashboard demonstrated how AI enhances the customer experience by guaranteeing consistent and precise responses to queries while eliminating call holds. He also mentioned that when the dashboard is put into action, it discloses the real-time count of fully automated customer interactions, resulting in a significant reduction in hold times and a substantial return on investment. This, in turn, saves businesses thousands through increased automation. The Call Summary Dashboard offers precise data on contained calls automated by IntelePeer's Smart product suite. Customers can assess the savings achieved by utilizing IntelePeer's AI-powered virtual SmartAgents instead of live agents. The dashboard also facilitates the creation of "what if" scenarios based on live traffic, demonstrating additional potential savings through increased automation and self-service capabilities over a specified timeframe. Fawzi highlighted the benefits, saying, With rich analytics at their fingertips, businesses can enhance operational efficiencies, improve customer experience, and make data-driven decisions. Companies harnessing generative AI are gaining an edge, and as AI continues to evolve, IntelePeer remains committed to assisting customers in harnessing this technology to meet evolving consumer needs. [Source: Businesswire] IntelePeer's SmartFlows leverage leading AI platforms like Azure's OpenAI for Generative AI, IBM Watson Assistant, Amazon Lex, and Google Dialog Flow for Conversational AI. Users can create communication-enabled workflows that seamlessly integrate with existing processes and develop intelligent AI voice and messaging bots based on CRM data interactions and other data sources to enhance CX. Key SmartFlows features include: Massively scalable simultaneous call and messaging capabilities Built-in Natural Language Processing and Generation Automated and intelligent routing Easy integration with CRM and other business applications Audio library Pre-built templates About IntelePeer Founded in 2003 and headquartered in Dania Beach, Florida, IntelePeer is a leading software development firm specializing in AI-driven omnichannel communication solutions. Its Communications Platform as a Service (CPaaS) optimizes customer experiences, reduces costs, and streamlines operations through user-friendly, integrated software. With a robust online presence, IntelePeer continues to innovate in cloud-based communications, offering services such as cloud communications, cloud calling, cloud contact centers, and more.

Read More

AI Applications

Zoom Unveils AI Companion to Boost Productivity, Control, and Privacy

Zoom | September 11, 2023

Zoom introduces an AI companion at no extra cost, enhancing collaboration and productivity for paid users. The generative AI-powered assistant, AI companion, offers real-time capabilities across Zoom's platform. Zoom prioritizes customer privacy, ensures the AI companion is user-controlled, and focuses on delivering value and innovation. Zoom Video Communications, Inc. has unveiled the Zoom AI Companion, formerly known as Zoom IQ, a generative AI digital assistant, as part of its ongoing mission to enhance collaboration and productivity. The AI Companion is now included at no extra cost for users with paid Zoom accounts, reinforcing Zoom's commitment to facilitating human connection and boosting productivity. The company has also rebranded its conversational intelligence software, Zoom IQ for Sales, as Zoom Revenue Accelerator. Zoom's generative AI capabilities, introduced in June, have already benefited numerous companies through free trials of Team Chat Compose and Meeting Summary. In the coming months, Zoom will expand its generative AI offering with the launch of AI Companion, available at no additional cost to paid Zoom user accounts. Zoom's approach to AI is federated, combining its own large language models with third-party models such as Meta Llama 2, OpenAI, and Anthropic. This approach ensures high-quality results and cost-effectiveness. AI Companion will be integrated into various aspects of the Zoom platform, including meetings, team chat, phone, email, and whiteboard, with additional features in development. Zoom aims to deliver tangible benefits to users and disrupt the industry's pricing model. Smita Hashim, chief product officer at Zoom stated, We are transcending the hype in generative AI by delivering tangible products and disrupting the industry’s pricing model, making it easy for businesses and people like you and me to leverage generative AI’s full benefits in our day-to-day work and their foundation was based on doing what's right for their customers. She expressed her firm belief in providing the Zoom AI Companion at no additional cost to their paid Zoom user accounts, as it offers tremendous value in the face of today's challenges. She conveyed her excitement about customers and users starting to use the AI Companion and mentioned a strong roadmap for further innovation, which is underpinned by a commitment to responsible AI. [Source: Globe Newswire] Zoom prioritizes customer privacy and emphasizes that it does not use customer content to train AI models. AI Companion is turned off by default, allowing account owners and administrators to enable AI features according to their preferences. This approach gives users control and visibility over AI usage. AI Companion streamlines collaboration and productivity by automating tasks and removing distractions. It offers real-time AI capabilities, such as faster meeting recording access, chat message drafting, and chat thread summarization. In the future, it will provide real-time feedback on meeting participation and coaching on communication skills. Zoom Whiteboard users will benefit from AI Companion's help in generating and categorizing ideas, with image generation and whiteboard template population planned for spring 2024. Zoom Mail users can expect draft email suggestions, and Zoom Phone will support SMS threads and call summarization. By spring 2024, users will have a conversational interface to interact with AI Companion, helping with tasks like pre-meeting preparation, in-meeting support, and post-meeting summaries. The user-friendly interface allows seamless integration within Zoom Meetings, Team Chat, and Whiteboard workflows. Zoom's AI Companion represents a significant step in enhancing collaboration and productivity for its users, aligning with the company's mission to empower people through technology.

Read More

General AI, AI Applications

FICO Awarded 9 New Patents Used in FICO Platform and Fraud Solutions that Utilize Sophisticated AI to Improve Decision Accuracy

Businesswire | July 17, 2023

Global analytics software firm FICO has been granted 9 patents, 3 foreign and 6 U.S., related to digital decisioning in the areas of fraud, artificial intelligence (AI), and machine learning technology. FICO’s extensive industry expertise in building AI and machine learning models provides value to enterprises that adopt FICO® Platform and other FICO solutions. “Patents are a product of industry inspired innovation, and we continue to develop tremendous IP in AI, machine learning, and decision management,” said Scott Zoldi, chief analytics officer at FICO. “FICO solutions deliver real-time decisions for businesses worldwide. The power of better decisions and hyper-personalized customer experiences, as exemplified by FICO Platform, is being driven by new AI technologies responding to ever-changing industry demands.” FICO’s new patents include “Soft Segmentation Based Rules Optimization for Zero Detection Loss False Positive Reduction” – which covers rules-based financial crime detection for detecting money laundering and fraud while reducing false positive detections. The techniques include the use of topic models to determine semantic structures underlying transactions and the derivation of behavior archetypes based on those structures, with the result being the reduction of false positives while preserving the same true positive detection set. “Mobile Attribute Time-Series Profiling Analytics” – which claims a means to assess the likelihood that a transaction is abnormal based on a behavioral pattern of a mobile device. The behaviors associated with the device improve fraud detection for transactions that do not occur on the mobile device. This patent has been validated in the UK, France, and Germany and used in FICO® Falcon® Fraud Manager, FICO® Fraud Predictor with Merchant Profiles, and FICO® Platform. “Latent Feature Dimensionality Bounds for Robust Machine Learning on High Dimensional Datasets” – which describes a method to identify the number of optimal hidden nodes in a neural network model, leading to the development of more robust and stable machine learning models at the core of responsible AI. This patent is used in FICO® Platform. “Assessing the Presence of Selective Omission via Collaborative Counterfactual Interventions” – which addresses a critical challenge in operationalizing models in open data environments, where lenders and users of models need to understand the likelihood that the customer is omitting key data that impact outcomes. This patent is used in FICO’s Open Banking Analytic models. “Workflow Templates for Configuration Packages” – which claims a process to allow a decision service to generate decision data based on user-generated input, a collection of configurations, and a decision flow template, leading to a configured software solution. This patent is used in FICO® Strategy Director. “Meaningfully Explaining Black-Box Machine Learning Models” – which covers a means for providing insights into the efficacy and understandability of black-box machine learning models. This patent is used in FICO® Platform - Analytics Workbench™. “Efficient Parallelized Computation of Global Behavioral Profiles in Real-time Transaction Scoring Systems” – which describes a computer-implemented, real-time transaction scoring system for rank-ordering transactions associated with suspicious activity, such as financial crime or a cybersecurity threat. This patent is used in FICO® Falcon® Fraud Manager, FICO® Fraud Predictor with Merchant Profiles, and FICO® Platform. To date, FICO’s patent portfolio consists of 218 active patents, with an additional 71 patent applications filed and pending approval. About FICO FICO powers decisions that help people and businesses around the world prosper. Founded in 1956, the company is a pioneer in the use of predictive analytics and data science to improve operational decisions. FICO holds more than 200 US and foreign patents on technologies that increase profitability, customer satisfaction and growth for businesses in financial services, insurance, telecommunications, health care, retail and many other industries. Using FICO solutions, businesses in nearly 120 countries do everything from protecting 2.6 billion payment cards from fraud, to improving financial inclusion, to increasing supply chain resiliency. The FICO® Score, used by 90% of top US lenders, is the standard measure of consumer credit risk in the US and other countries, improving risk management, credit access and transparency.

Read More

AI Applications

IntelePeer's AI Call Summary Dashboard Elevates Customer Interactions

IntelePeer | September 15, 2023

IntelePeer, a prominent AI-driven communications automation solutions provider, introduces a new addition to its SmartFlows platform, the Call Summary Dashboard. This innovative dashboard, equipped with AI and automation tools, empowers businesses to optimize omnichannel communication workflows, monitor real-time ROI, and identify cost-saving opportunities. Existing IntelePeer customers can access the Call Summary Dashboard at no extra cost, enabling them to create advanced hyper-automation omnichannel experiences without prolonged development cycles. Frank Fawzi, the CEO of IntelePeer, emphasized the company's dedication to addressing the needs of enterprises for high-quality automated customer interactions. He stated that AI had become a crucial element for businesses, leading to reduced labor costs and improved competitiveness. Fawzi noted that IntelePeer's most recent analytics engine and dashboard demonstrated how AI enhances the customer experience by guaranteeing consistent and precise responses to queries while eliminating call holds. He also mentioned that when the dashboard is put into action, it discloses the real-time count of fully automated customer interactions, resulting in a significant reduction in hold times and a substantial return on investment. This, in turn, saves businesses thousands through increased automation. The Call Summary Dashboard offers precise data on contained calls automated by IntelePeer's Smart product suite. Customers can assess the savings achieved by utilizing IntelePeer's AI-powered virtual SmartAgents instead of live agents. The dashboard also facilitates the creation of "what if" scenarios based on live traffic, demonstrating additional potential savings through increased automation and self-service capabilities over a specified timeframe. Fawzi highlighted the benefits, saying, With rich analytics at their fingertips, businesses can enhance operational efficiencies, improve customer experience, and make data-driven decisions. Companies harnessing generative AI are gaining an edge, and as AI continues to evolve, IntelePeer remains committed to assisting customers in harnessing this technology to meet evolving consumer needs. [Source: Businesswire] IntelePeer's SmartFlows leverage leading AI platforms like Azure's OpenAI for Generative AI, IBM Watson Assistant, Amazon Lex, and Google Dialog Flow for Conversational AI. Users can create communication-enabled workflows that seamlessly integrate with existing processes and develop intelligent AI voice and messaging bots based on CRM data interactions and other data sources to enhance CX. Key SmartFlows features include: Massively scalable simultaneous call and messaging capabilities Built-in Natural Language Processing and Generation Automated and intelligent routing Easy integration with CRM and other business applications Audio library Pre-built templates About IntelePeer Founded in 2003 and headquartered in Dania Beach, Florida, IntelePeer is a leading software development firm specializing in AI-driven omnichannel communication solutions. Its Communications Platform as a Service (CPaaS) optimizes customer experiences, reduces costs, and streamlines operations through user-friendly, integrated software. With a robust online presence, IntelePeer continues to innovate in cloud-based communications, offering services such as cloud communications, cloud calling, cloud contact centers, and more.

Read More

AI Applications

Zoom Unveils AI Companion to Boost Productivity, Control, and Privacy

Zoom | September 11, 2023

Zoom introduces an AI companion at no extra cost, enhancing collaboration and productivity for paid users. The generative AI-powered assistant, AI companion, offers real-time capabilities across Zoom's platform. Zoom prioritizes customer privacy, ensures the AI companion is user-controlled, and focuses on delivering value and innovation. Zoom Video Communications, Inc. has unveiled the Zoom AI Companion, formerly known as Zoom IQ, a generative AI digital assistant, as part of its ongoing mission to enhance collaboration and productivity. The AI Companion is now included at no extra cost for users with paid Zoom accounts, reinforcing Zoom's commitment to facilitating human connection and boosting productivity. The company has also rebranded its conversational intelligence software, Zoom IQ for Sales, as Zoom Revenue Accelerator. Zoom's generative AI capabilities, introduced in June, have already benefited numerous companies through free trials of Team Chat Compose and Meeting Summary. In the coming months, Zoom will expand its generative AI offering with the launch of AI Companion, available at no additional cost to paid Zoom user accounts. Zoom's approach to AI is federated, combining its own large language models with third-party models such as Meta Llama 2, OpenAI, and Anthropic. This approach ensures high-quality results and cost-effectiveness. AI Companion will be integrated into various aspects of the Zoom platform, including meetings, team chat, phone, email, and whiteboard, with additional features in development. Zoom aims to deliver tangible benefits to users and disrupt the industry's pricing model. Smita Hashim, chief product officer at Zoom stated, We are transcending the hype in generative AI by delivering tangible products and disrupting the industry’s pricing model, making it easy for businesses and people like you and me to leverage generative AI’s full benefits in our day-to-day work and their foundation was based on doing what's right for their customers. She expressed her firm belief in providing the Zoom AI Companion at no additional cost to their paid Zoom user accounts, as it offers tremendous value in the face of today's challenges. She conveyed her excitement about customers and users starting to use the AI Companion and mentioned a strong roadmap for further innovation, which is underpinned by a commitment to responsible AI. [Source: Globe Newswire] Zoom prioritizes customer privacy and emphasizes that it does not use customer content to train AI models. AI Companion is turned off by default, allowing account owners and administrators to enable AI features according to their preferences. This approach gives users control and visibility over AI usage. AI Companion streamlines collaboration and productivity by automating tasks and removing distractions. It offers real-time AI capabilities, such as faster meeting recording access, chat message drafting, and chat thread summarization. In the future, it will provide real-time feedback on meeting participation and coaching on communication skills. Zoom Whiteboard users will benefit from AI Companion's help in generating and categorizing ideas, with image generation and whiteboard template population planned for spring 2024. Zoom Mail users can expect draft email suggestions, and Zoom Phone will support SMS threads and call summarization. By spring 2024, users will have a conversational interface to interact with AI Companion, helping with tasks like pre-meeting preparation, in-meeting support, and post-meeting summaries. The user-friendly interface allows seamless integration within Zoom Meetings, Team Chat, and Whiteboard workflows. Zoom's AI Companion represents a significant step in enhancing collaboration and productivity for its users, aligning with the company's mission to empower people through technology.

Read More

General AI, AI Applications

FICO Awarded 9 New Patents Used in FICO Platform and Fraud Solutions that Utilize Sophisticated AI to Improve Decision Accuracy

Businesswire | July 17, 2023

Global analytics software firm FICO has been granted 9 patents, 3 foreign and 6 U.S., related to digital decisioning in the areas of fraud, artificial intelligence (AI), and machine learning technology. FICO’s extensive industry expertise in building AI and machine learning models provides value to enterprises that adopt FICO® Platform and other FICO solutions. “Patents are a product of industry inspired innovation, and we continue to develop tremendous IP in AI, machine learning, and decision management,” said Scott Zoldi, chief analytics officer at FICO. “FICO solutions deliver real-time decisions for businesses worldwide. The power of better decisions and hyper-personalized customer experiences, as exemplified by FICO Platform, is being driven by new AI technologies responding to ever-changing industry demands.” FICO’s new patents include “Soft Segmentation Based Rules Optimization for Zero Detection Loss False Positive Reduction” – which covers rules-based financial crime detection for detecting money laundering and fraud while reducing false positive detections. The techniques include the use of topic models to determine semantic structures underlying transactions and the derivation of behavior archetypes based on those structures, with the result being the reduction of false positives while preserving the same true positive detection set. “Mobile Attribute Time-Series Profiling Analytics” – which claims a means to assess the likelihood that a transaction is abnormal based on a behavioral pattern of a mobile device. The behaviors associated with the device improve fraud detection for transactions that do not occur on the mobile device. This patent has been validated in the UK, France, and Germany and used in FICO® Falcon® Fraud Manager, FICO® Fraud Predictor with Merchant Profiles, and FICO® Platform. “Latent Feature Dimensionality Bounds for Robust Machine Learning on High Dimensional Datasets” – which describes a method to identify the number of optimal hidden nodes in a neural network model, leading to the development of more robust and stable machine learning models at the core of responsible AI. This patent is used in FICO® Platform. “Assessing the Presence of Selective Omission via Collaborative Counterfactual Interventions” – which addresses a critical challenge in operationalizing models in open data environments, where lenders and users of models need to understand the likelihood that the customer is omitting key data that impact outcomes. This patent is used in FICO’s Open Banking Analytic models. “Workflow Templates for Configuration Packages” – which claims a process to allow a decision service to generate decision data based on user-generated input, a collection of configurations, and a decision flow template, leading to a configured software solution. This patent is used in FICO® Strategy Director. “Meaningfully Explaining Black-Box Machine Learning Models” – which covers a means for providing insights into the efficacy and understandability of black-box machine learning models. This patent is used in FICO® Platform - Analytics Workbench™. “Efficient Parallelized Computation of Global Behavioral Profiles in Real-time Transaction Scoring Systems” – which describes a computer-implemented, real-time transaction scoring system for rank-ordering transactions associated with suspicious activity, such as financial crime or a cybersecurity threat. This patent is used in FICO® Falcon® Fraud Manager, FICO® Fraud Predictor with Merchant Profiles, and FICO® Platform. To date, FICO’s patent portfolio consists of 218 active patents, with an additional 71 patent applications filed and pending approval. About FICO FICO powers decisions that help people and businesses around the world prosper. Founded in 1956, the company is a pioneer in the use of predictive analytics and data science to improve operational decisions. FICO holds more than 200 US and foreign patents on technologies that increase profitability, customer satisfaction and growth for businesses in financial services, insurance, telecommunications, health care, retail and many other industries. Using FICO solutions, businesses in nearly 120 countries do everything from protecting 2.6 billion payment cards from fraud, to improving financial inclusion, to increasing supply chain resiliency. The FICO® Score, used by 90% of top US lenders, is the standard measure of consumer credit risk in the US and other countries, improving risk management, credit access and transparency.

Read More

Events