What Is SaaS (Software-as-a-Service) And Its Benefits For Enterprises

Cloud-based technologies and service models are changing the way companies are doing business and drive innovation. Fundamentally, there are three main categories of cloud computing services: Infrastructure as a service (IaaS), software as a service (SaaS) and platform as a service (PaaS). This article focuses on Software as a Service (SaaS). SaaS is a service model in which a provider hosts the application and makes it available to customers over the Internet. This is a significant departure from the on-premises software delivery model allowing organizations to outsource most of the IT responsibilities.

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Software, Future Tech, Application Development Platform

Are Telcos Ready for a Quantum Leap?

Article | July 24, 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.

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Software, Future Tech, Application Development Platform

Over the Waterfall to GitOps

Article | August 7, 2023

One of the first steps on the journey to cloud-native is transforming culture. This starts with embracing Agile methodology, followed by implementation of DevOps processes and eventually GitOps, as we explore in this extract from the recent e-book Mind the gap: bridging the skills divide on the journey to cloud native. Most CSPs agree that culture, including governance and skills, is the single biggest obstacle to adopting a cloud-native architecture. Traditional waterfall project management focuses on a linear progression, where one task or process needs to be completed before the next can start. This approach is time-consuming and costly, and it stifles innovation. It’s a major reason a CSP typically takes more than a year to develop a new service. Adopting Agile methodology is a completely new way of working that focuses on building cross-functional teams to speed innovation and service creation. This requires CSPs to seek individuals with the new project management skills and are adaptable and quick-thinking. Agile may not be suitable for every aspect of the business or for every project, but it is critical for moving to cloud-based, and eventually to cloud-native environments. Agile’s assumptions • Early, continuous delivery of software leads to happy customers • Changing requirements are always welcome, even in late development • Working software is delivered frequently • Business teams and developers work together every day • Projects are built around motivated and trusted individuals • Face-to-face is the best way to communicate • Working software is the principal measure of progress • Development is sustainable and constant • Attention to technical excellence and good design are required • Simplicity is essential • The best architectures emerge from self-organizing teams • Teams look for ways to be more effective and adjust accordingly There are lots of Agile approaches, but many CSPs use a model made popular by Spotify, which organizes teams into ‘squads,’ ‘tribes,’ ‘chapters,’ and ‘guilds.’ Vodafone Group follows this model and uses ‘very, very flat, non-hierarchical governance,’ according to Dr. Lester Thomas, Chief IT Systems Architect at Vodafone Group. “We’ve learned doing this in the digital space, but we’re trying to adopt that software approach right into our network.” Culture Eats Technology UScellular began adopting Agile methodology about five years ago, and the company is implementing cloud-native applications wherever they make sense. During its shift to the new way of working, cultural change has been the most difficult obstacle to overcome, significantly harder than technological change, according to Kevin Lowell, the company’s Chief People Officer and former Executive VP in charge of IT. The shift started with creating ‘a compelling why’ – in this case, improving how customers experience using UScellular services. The company replaced some waterfall processes with iterative Agile processes managed in scrums and implemented in sprints. The IT team also began meeting regularly with business stakeholders and educating them about how Agile works. Telecom Argentina is also embracing Agile. It is working with Red Hat to adopt a framework called Team Topologies to create a more efficient way of collaborating. The company is applying Team Topologies within its network division to create cross-functional teams that not only focus on the evolution and operation of technological platforms but also on creating and delivering services. From Agile to DevOps While Agile methodologies help to establish communication between IT teams and other stakeholders in the company, DevOps goes further by introducing an end-to-end software lifecycle that establishes a continuous flow of development, integration, testing, delivery and deployment. Google’s approach to DevOps, called Site Reliability Engineering (SRE), has been widely adopted in telecoms. It provides the foundation for the ODA Canvas, and it’s how Vodafone Group is implementing DevOps. Vodafone is a cloud-native pioneer. For the past several years, the company has been transforming into a platform provider, using what it calls a ‘telco-as-a-service’ or TaaS strategy. Vodafone is becoming a software company on its quest to become a techco, which involves hiring 7,000 software engineers to add to the existing 9,000 in the company. A key driver for embracing a cloud-native approach is “moving from our millions of human customers to billions of things,” says Thomas. Instead of offering just four primary services – fixed voice, broadband Internet, mobility and TV, he envisions using 5G network slicing to support thousands of IoT services per vertical market. “Unless we can drive this through software-driven approaches and automation, we’re not going to be successful,” he says. From DevOps to GitOps The problem with DevOps, however, is that most CSPs aren’t developing their software; they buy solutions from vendor partners. As Omdia’s James Crawshaw, Principal Analyst at Telco IT & Operations, notes in a research report, this makes it difficult for operators to create CI/CD pipelines that cut across organizational boundaries between CSPs and suppliers. To address this, CSPs “have adapted DevOps to their needs and created GitOps, which they use to take third-party applications and deploy on their own platforms,” Crawshaw explains. Philippe Ensarguet, Group CTO at Orange Business Services, recently explained that GitOps requires continuous integration and continuous operations or CI/CO. This means moving away from a prescriptive way of implementing operations to a declarative approach that supports full automation. What is GitOps? “If you rely mainly on the prescriptive approach, the day you want to move into production and scale up the number of applications you implement, you have to manage it purely with humans, and you hit the wall on scalability,” says Ensarguet. William Caban, Telco Chief Architect at Red Hat, sees GitOps as foundational to the concept of zero-touch, zero-wait and zero-trouble services, which will be orchestrated end-to-end in autonomous networks. “This is exactly what GitOps is about: event-driven, intent-based networks,” he says. “It becomes the operational model for architectures based on the ODA and autonomous networks.” CSPs must hire software and automation skills for GitOps. They also must reskill network experts, such as radio access network (RAN) engineers, to work in CI/CO teams so everyone uses common terminology. Some operators are going even further by creating centers of excellence (CoEs) where cross-functional teams from business, network and operations collaborate. “In GitOps, it is also necessary to codify team members’ knowledge, so that even as people move around or leave the company, the software development and operations lifecycle processes are not disrupted,” Caban says.

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Software, Low-Code App Development, Application Development Platform

Empowering Industry 4.0 with Artificial Intelligence

Article | August 4, 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.

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How Artificial Intelligence Is Transforming Businesses

Article | February 12, 2020

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

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General AI, AI Applications, Software

Phrasee Introduces AI Content Engine, Powering Superior, On-brand Content Generation for the World’s Leading Brands

Businesswire | June 08, 2023

Phrasee, the complete AI content platform for enterprise marketers, today introduced its industry-leading content generation capabilities to complement its AI-powered optimization solution that helps marketers achieve better results. Unlike other generative AI tools, Phrasee’s Content Engine combines the power of large language models (LLMs) with its proprietary controlled natural language generation (NLG). This unique combination means marketers can now generate on-brand, high-performing content for any marketing use case, all delivered via custom, no-code workflows. While many tools are racing to jump on the generative AI bandwagon, Phrasee has been perfecting the art of AI content generation for eight years, evolving its platform to fine-tune AI content to a brand's tone of voice and drive increased engagement via optimization. The Phrasee AI Content Engine uses deep learning that is trained on a unique data set of thousands of experiments and billions of marketing data points, resulting in a higher-quality creative output​ that is proven to perform. “We live in a world where anyone can create content on demand through LLMs and a simple, chat-based interface, but just because it’s created, doesn’t mean it’s good,” said Parry Malm, Phrasee CEO and co-founder. “Good content engages the target audience, builds brand recognition, and most importantly, drives results. We envision a future where the world’s top brands drive awesome marketing results through AI. And the Phrasee platform is doing exactly that today for our customers around the world.” Phrasee is the only platform that provides the full range of AI content capabilities – generation, optimization, personalization, and performance insights. Content created through Phrasee is crafted with industry-leading brand controls and performance optimized through deep learning and automated experimentation. Phrasee helps enterprise marketers achieve better results by: Creating content at scale Phrasee empowers marketing teams with unlimited creativity, generating high-quality, data-backed, on-brand content, at scale, across the digital customer journey: emails, product descriptions, ads, social posts, articles/blogs, push and SMS messaging, and web/app copy. Maximizing customer engagement and revenue Phrasee optimizes and personalizes content to increase engagement, conversions, and customer lifetime value with performance that doesn’t degrade over time. Granular performance data helps marketers track the actual impact AI content is driving for the business and key KPIs. Automating experimentation Phrasee makes it easy to test, learn, and iterate on marketing messages to deliver even better performance from digital campaigns. Easily experiment with content and ensure a brand’s best-performing messages reach the most people. The self-serve UI makes testing and optimization at scale a reality with multi-step workflows and out-of-the-box integrations. Providing deeper customer insights that eliminate guesswork Phrasee’s language insight reports analyze content experiments to reveal the words, emojis, and tones a brand’s audiences respond to most (and least) and how they evolve. Marketers can apply these learnings across their marketing efforts to ensure their messaging always resonates. “Our suite of new generative AI capabilities provides enterprise marketers with an exclusive combination of AI-powered tools that not only generate on-brand, high-quality content but add the ability to optimize and personalize that content to drive increased engagement and revenue. This is what good content looks like,” said Matt Simmonds, chief product and technology officer at Phrasee. “No other platform can provide this mix of solutions, and we are just getting started. Stay tuned for the release of more unique tools designed specifically to help enterprises embrace generative AI with confidence and achieve measurable results.” Contact us for a demo. Meet us at Salesforce Connections June 7-8 Meet the Phrasee team at Salesforce Connections in Chicago at the McCormick Place West Building from June 7-8 and learn how generative AI is helping marketers increase loyalty, engagement, and ROI through the power of AI-optimized marketing messages. Phrasee is an Explorer-level sponsor at this year’s Salesforce Connections, two of the biggest days in marketing, commerce, and customer-first innovation. Today, at 9:30 a.m. CDT, Home Chef will be taking the stage with Phrasee for the session, “How Generative AI is Maximizing Customer Engagement,” at the Lincoln Park Theater. Attendees will learn first-hand from Home Chef’s Lauren MacArtney, senior lifecycle marketing manager, and Natalie Mesgleski, lifecycle marketing associate, how AI-optimized content can boost click-through rates and drive greater ROI using Phrasee and Salesforce Marketing Cloud. They will be joined by Lindsey Nelson, Salesforce retail industry advisor, and Jasper Pye, Phrasee vice president of product. For more information about attending, check out Phrasee’s website. About Phrasee Phrasee believes in a future where enterprise marketers drive unprecedented results using AI. Phrasee’s AI-powered platform generates the best-performing content at scale and with enterprise-grade controls across digital channels to realize those results and enable customers to compete effectively in this always-on, digital world. Its platform creates, optimizes, and analyzes on-brand marketing content in real-time, proven to drive more clicks, conversions, and revenue across your email marketing, push notifications, SMS marketing, and more. Phrasee boosts customer engagement and increases lifetime value for the world’s leading brands, including Sephora, Sainsbury’s, Currys, Pet Supplies Plus, Novo Nordisk, and Williams Sonoma, all while maintaining their unique brand standards and voice.

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AI Tech, AI Applications, Software

Tray.io Unveils Merlin AI to Instantly Transform Large Language Model Outputs Into Complete Business Processes

Businesswire | May 15, 2023

Tray.io, the leader in low-code automation and integration, today unveiled Tray Merlin AI, a new natural language automation capability in the Tray platform that instantly transforms large language model (LLM) outputs into complete business processes, without the need for LLM training or exposing customer data to the LLM. This new advancement makes the Tray platform the first iPaaS solution that brings together the power of flexible, scalable automation; support for advanced business logic; and native generative AI capabilities that anyone can use. Leveraging OpenAI technology and Tray.io’s extensive workflow, authentication, connector and API technologies, business technologists, front-line employees and developers across the enterprise can now more quickly and efficiently build, iterate on and improve sophisticated workflows that transcend the software stack. By simply asking Merlin—in the same way a team member would ask a colleague—users can obtain answers at the point-of-decision and automate critical business tasks. Additionally, Merlin eliminates the need for any IT and engineering involvement in what typically entailed weeks to months of integration effort to build automations or answer queries. This new advancement builds on Tray.io’s vision to lower the barriers that prohibit enterprise-wide automation in the face of the unintended consequences of digital transformation. All final workflows created by Tray Merlin AI are presented visually in a low-code format to allow the user to modify, improve or augment its functionality, as necessary, and share with others for reuse. Unlike many other applications that interface with LLMs, the operational capabilities of Merlin AI and the underlying Tray platform are self-contained, meaning Merlin only needs to fetch small pieces of information from the LLM on an as-needed basis during the integration building process. As a result, customer data is never exposed or sent to the LLM. “The outcomes enterprises can achieve with LLMs, such as those of OpenAI, are only as good as a user’s ability to take action on the results of the query,” said Alistair Russell, co-founder and CTO at Tray.io. “Tray Merlin AI completely changes the game as it instantly automates business processes and answers queries through natural language instruction. Think of Merlin as giving the LLM ‘brain’ a Tray ‘body’—a body that can take action without passing customer data back to the LLM and requires no further training to execute complex business tasks.” Tray.io Taps AI to Address the Unintended Consequences of Digital Transformation As businesses continue to grapple with the unintended consequences of rapid digital transformation efforts—such as technical debt, complex tech stacks and business process inefficiencies—every department is under enormous pressure to deliver fast results that not only meet customers' demands for timely, high-quality services, but also help the company remain profitable in the most efficient way possible. Leaders must overcome IT and developer bottlenecks by tapping into a hidden talent opportunity—employees who have technical skills, but are not using them in their primary job function. Equipping these employees with self-service AI automation is a critical enabler to driving digital initiatives at speed. According to Gartner®, “Almost half of all non-IT employees are now business technologists, and companies that successfully enable them are 2.6 times more likely to achieve digital business goals.”1 “Generative AI is currently one of the most disruptive forces in iPaaS,” said Alexander Wurm, Senior Analyst at Nucleus Research. “Vendors who embrace AI in their platforms provide an incredible step-change in ease-of-use that boosts the productivity of experienced users. When done well, it delivers immediate value to many users in the enterprise for which the benefits of the technology were previously out of reach. Companies who adopt iPaaS solutions with native generative AI capabilities will be at a substantial velocity, efficiency and agility advantage.” Tray Merlin AI: Natural Language Automation to Accelerate and Improve the Execution of Complex Tasks A core element of the Tray platform architecture, Merlin AI works seamlessly with Tray.io’s connector, workflow and API technologies—and other platform capabilities including data transformation, robust authentication mechanisms and support for advanced business logic—to deliver a flexible, low-code and AI-augmented automation builder. With Merlin, anyone—regardless of their level of technical expertise—can build complete integrations with the assistance of, or solely using, NLP, radically simplifying the automation building process for all users and supercharging team productivity. For example, Merlin can act as an autonomous assistant capable of executing complex tasks, such as collecting or moving information across disparate systems, answering questions or building automated workflows to complete a business process. “AI is revolutionizing automation, and Tray.io is at the forefront of this movement. The arrival of generative AI and the pace of innovation it enables will spell the end of the iPaaS architectures that were built for a different time,” said Rich Waldron, co-founder and CEO at Tray.io. “Tray Merlin AI brings together the power of flexible, scalable automation and AI to accelerate and improve automation outcomes for our customers, enabling them to solve business problems better, faster and more independently than ever before.” Tray Merlin AI powers the following new capabilities to accelerate automation and integration projects across the enterprise, while reducing the burden on business technologists and developers: Securely build out automation details and iterate or improve existing processes: Marketing Ops teams can refine their lead delivery processes by reducing the time it takes to deliver high-value leads to sales reps, enabling them to respond to prospects promptly. Using just natural language instructions, the person building marketing automations can improve their current process by asking Merlin to build a workflow to capture lead scoring data from Marketo, assign qualified leads to reps in Salesforce immediately any time it’s over a certain threshold, build the Outreach sequence and notify reps via Slack or Teams of the newly qualified lead. When finished, all the steps are displayed in the low-code visual builder through which the user can review and make any modifications, if required. Quickly build or augment more substantial workflows: Business technologists who are proficient at building on the Tray platform can type their request and parameters and Merlin will automatically build a workflow with the relevant business logic. Sales and customer success teams who want to deliver a more frictionless customer experience by streamlining the pre- and post-sales processes, can use natural language instructions to create a workflow that will automatically update their project management system every time a deal closes with the relevant client information from their CRM and notify the professional services team via email. With Merlin, teams can ensure there’s no delay in project execution, which results in higher levels of customer satisfaction. Obtain answers at the point-of-decision with on-demand, AI-powered automation: For non-technical employees, such as department managers, C-level executives and business users, who are not and do not need to be familiar with the Tray platform, Merlin can be used to quickly answer urgent business queries. A CMO seeking to optimize social media investments can query Merlin to identify the top lead sources for the largest “Closed Won” accounts by revenue and cross-reference the results with LinkedIn followers. To accomplish this, Merlin integrates the company’s CRM, marketing automation platform and social media management platform to deliver the result instantly. Additionally, sharing these results with the marketing leadership team via Slack or Teams can be built into the workflow based on the CMO’s natural language instruction. Merlin automatically knows when and where to search for authentications, displays all the actions it plans to carry out and obtains confirmation from the user before executing these actions. By tapping into the power of AI via a natural language interface, Tray.io further unlocks the full potential of automation and makes building automated workflows across many use cases even more accessible to all employees, significantly increasing employee efficiency and productivity. “Builders in our organization already rely on Tray as they rapidly develop the low-code workflows needed to improve operational processes across our business,” said Brendon Ritz, Senior Director of Marketing Ops at ThoughtSpot, the leading AI-powered analytics company. “With the addition of Merlin AI to the Tray platform, our business technologists can interface with Tray using natural language instruction to build faster and build better. Even more impactful is the ability for us to put the power of automation in the hands of our front-line employees and managers so they can instantly get answers to business queries that would have otherwise required weeks or months of development to work out the required integrations.” ​​About Tray.io Tray.io is a low-code automation platform that can easily turn unique business processes into repeatable and scalable workflows that evolve whenever business needs change. Unlike iPaaS solutions, which are expensive, complex, and code-intensive, Tray.io’s flexible self-service platform makes it simple to build integrations using any API and connect enterprise applications at scale without incremental costs. Process innovation is today’s competitive advantage since companies can no longer differentiate on their tech stack alone. The promise of SaaS led to an avalanche of siloed point solutions that require businesses to force their processes into rigid, predetermined schema. The Tray Platform removes these limitations, empowering both non-technical and technical users to create sophisticated workflow automations that streamline data movement and actions across multiple applications. Freed from tedious and repetitive tasks, product leaders and IT are able to uplevel their skill set with automation to unlock their full potential and do things in a way that’s right for their business. Love your work. Automate the rest.™

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AI Tech, AI Applications, Software

ChurnZero announces further AI enhancements to help Customer Success teams save time, streamline tasks and increase their impact

Prnewswire | May 11, 2023

ChurnZero, the platform and partner for Customer Success, has announced three new AI enhancements to help CS teams work more efficiently and impactfully with assistance from ChurnZero's Customer Success AI™ (CS AI™). The company launched its third CS AI feature enhancement which synthesizes customer information to generate drafts of customer follow-up messages and action items. In upcoming releases this spring, CS AI will provide CS teams with deeper customer insights and offer the ability to personalize customer communications at scale. Launched in January 2023 and already adopted by 90% of ChurnZero's customers, CS AI is the first generative artificial intelligence built into a Customer Success platform, and the first designed for the CS industry. Customer Success teams use the tool's pre-loaded prompts or enter their own to instantly synthesize customer information and histories, conduct research, refine and scale communications, and generate strategic ideas. ChurnZero launched a free version of CS AI to the industry in February. By mid-March, CS professionals worldwide entered nearly 10,000 queries into the system. "There is so much potential for thoughtfully applied AI to add value to Customer Success teams, which is why we're fully committed to integrating AI into our platform workflows and data," says You Mon Tsang, CEO and co-founder, ChurnZero. "CS teams strive for efficiency and effectiveness, which is tough due to the volume of important but repetitive tasks they must complete daily. We're hearing great customer feedback from teams using CS AI on how it has significantly streamlined efforts, especially when combining AI with the platform's automation and in-app tools. We're excited by CS AI's positive impact so far, and for what comes next." ChurnZero's third CS AI feature enhancement – currently live – helps CSMs follow up on customer interactions by synthesizing meeting notes and automatically drafting insightful follow-up communications for CSMs to review and edit. CSMs can ask CS AI to change the tone of the communication, edit for length, include additional details, and more to increase relevance and value. The fourth CS AI release, coming this quarter, will offer on-demand customer briefs, providing a comprehensive picture of customer health by synthesizing all an account's information in ChurnZero into one central view. A fifth CS AI release, coming this quarter, will enable CS teams to customize templated messages with a Customer Success manager's preferred style and a tone informed by customer data, providing an ideal balance of automation and customization when operating at scale. Learn more about Customer Success AI at ChurnZero. About ChurnZero ChurnZero is the platform and partner for Customer Success, dedicated to helping subscription businesses grow and succeed at scale. ChurnZero's automation, in-app communication, health scoring, actionable reporting, revenue forecasting, and Customer Success AI™ help Customer Success teams work efficiently, deliver greater customer value, and drive more revenue. The ChurnZero team prides itself on being a top-rated partner, consultant, and coach to Customer Success teams worldwide who use ChurnZero to increase and scale their impact. Founded in 2015, ChurnZero is a remote-first company with headquarters in Washington, D.C., and an office in Amsterdam.

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General AI, AI Applications, Software

Phrasee Introduces AI Content Engine, Powering Superior, On-brand Content Generation for the World’s Leading Brands

Businesswire | June 08, 2023

Phrasee, the complete AI content platform for enterprise marketers, today introduced its industry-leading content generation capabilities to complement its AI-powered optimization solution that helps marketers achieve better results. Unlike other generative AI tools, Phrasee’s Content Engine combines the power of large language models (LLMs) with its proprietary controlled natural language generation (NLG). This unique combination means marketers can now generate on-brand, high-performing content for any marketing use case, all delivered via custom, no-code workflows. While many tools are racing to jump on the generative AI bandwagon, Phrasee has been perfecting the art of AI content generation for eight years, evolving its platform to fine-tune AI content to a brand's tone of voice and drive increased engagement via optimization. The Phrasee AI Content Engine uses deep learning that is trained on a unique data set of thousands of experiments and billions of marketing data points, resulting in a higher-quality creative output​ that is proven to perform. “We live in a world where anyone can create content on demand through LLMs and a simple, chat-based interface, but just because it’s created, doesn’t mean it’s good,” said Parry Malm, Phrasee CEO and co-founder. “Good content engages the target audience, builds brand recognition, and most importantly, drives results. We envision a future where the world’s top brands drive awesome marketing results through AI. And the Phrasee platform is doing exactly that today for our customers around the world.” Phrasee is the only platform that provides the full range of AI content capabilities – generation, optimization, personalization, and performance insights. Content created through Phrasee is crafted with industry-leading brand controls and performance optimized through deep learning and automated experimentation. Phrasee helps enterprise marketers achieve better results by: Creating content at scale Phrasee empowers marketing teams with unlimited creativity, generating high-quality, data-backed, on-brand content, at scale, across the digital customer journey: emails, product descriptions, ads, social posts, articles/blogs, push and SMS messaging, and web/app copy. Maximizing customer engagement and revenue Phrasee optimizes and personalizes content to increase engagement, conversions, and customer lifetime value with performance that doesn’t degrade over time. Granular performance data helps marketers track the actual impact AI content is driving for the business and key KPIs. Automating experimentation Phrasee makes it easy to test, learn, and iterate on marketing messages to deliver even better performance from digital campaigns. Easily experiment with content and ensure a brand’s best-performing messages reach the most people. The self-serve UI makes testing and optimization at scale a reality with multi-step workflows and out-of-the-box integrations. Providing deeper customer insights that eliminate guesswork Phrasee’s language insight reports analyze content experiments to reveal the words, emojis, and tones a brand’s audiences respond to most (and least) and how they evolve. Marketers can apply these learnings across their marketing efforts to ensure their messaging always resonates. “Our suite of new generative AI capabilities provides enterprise marketers with an exclusive combination of AI-powered tools that not only generate on-brand, high-quality content but add the ability to optimize and personalize that content to drive increased engagement and revenue. This is what good content looks like,” said Matt Simmonds, chief product and technology officer at Phrasee. “No other platform can provide this mix of solutions, and we are just getting started. Stay tuned for the release of more unique tools designed specifically to help enterprises embrace generative AI with confidence and achieve measurable results.” Contact us for a demo. Meet us at Salesforce Connections June 7-8 Meet the Phrasee team at Salesforce Connections in Chicago at the McCormick Place West Building from June 7-8 and learn how generative AI is helping marketers increase loyalty, engagement, and ROI through the power of AI-optimized marketing messages. Phrasee is an Explorer-level sponsor at this year’s Salesforce Connections, two of the biggest days in marketing, commerce, and customer-first innovation. Today, at 9:30 a.m. CDT, Home Chef will be taking the stage with Phrasee for the session, “How Generative AI is Maximizing Customer Engagement,” at the Lincoln Park Theater. Attendees will learn first-hand from Home Chef’s Lauren MacArtney, senior lifecycle marketing manager, and Natalie Mesgleski, lifecycle marketing associate, how AI-optimized content can boost click-through rates and drive greater ROI using Phrasee and Salesforce Marketing Cloud. They will be joined by Lindsey Nelson, Salesforce retail industry advisor, and Jasper Pye, Phrasee vice president of product. For more information about attending, check out Phrasee’s website. About Phrasee Phrasee believes in a future where enterprise marketers drive unprecedented results using AI. Phrasee’s AI-powered platform generates the best-performing content at scale and with enterprise-grade controls across digital channels to realize those results and enable customers to compete effectively in this always-on, digital world. Its platform creates, optimizes, and analyzes on-brand marketing content in real-time, proven to drive more clicks, conversions, and revenue across your email marketing, push notifications, SMS marketing, and more. Phrasee boosts customer engagement and increases lifetime value for the world’s leading brands, including Sephora, Sainsbury’s, Currys, Pet Supplies Plus, Novo Nordisk, and Williams Sonoma, all while maintaining their unique brand standards and voice.

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AI Tech, AI Applications, Software

Tray.io Unveils Merlin AI to Instantly Transform Large Language Model Outputs Into Complete Business Processes

Businesswire | May 15, 2023

Tray.io, the leader in low-code automation and integration, today unveiled Tray Merlin AI, a new natural language automation capability in the Tray platform that instantly transforms large language model (LLM) outputs into complete business processes, without the need for LLM training or exposing customer data to the LLM. This new advancement makes the Tray platform the first iPaaS solution that brings together the power of flexible, scalable automation; support for advanced business logic; and native generative AI capabilities that anyone can use. Leveraging OpenAI technology and Tray.io’s extensive workflow, authentication, connector and API technologies, business technologists, front-line employees and developers across the enterprise can now more quickly and efficiently build, iterate on and improve sophisticated workflows that transcend the software stack. By simply asking Merlin—in the same way a team member would ask a colleague—users can obtain answers at the point-of-decision and automate critical business tasks. Additionally, Merlin eliminates the need for any IT and engineering involvement in what typically entailed weeks to months of integration effort to build automations or answer queries. This new advancement builds on Tray.io’s vision to lower the barriers that prohibit enterprise-wide automation in the face of the unintended consequences of digital transformation. All final workflows created by Tray Merlin AI are presented visually in a low-code format to allow the user to modify, improve or augment its functionality, as necessary, and share with others for reuse. Unlike many other applications that interface with LLMs, the operational capabilities of Merlin AI and the underlying Tray platform are self-contained, meaning Merlin only needs to fetch small pieces of information from the LLM on an as-needed basis during the integration building process. As a result, customer data is never exposed or sent to the LLM. “The outcomes enterprises can achieve with LLMs, such as those of OpenAI, are only as good as a user’s ability to take action on the results of the query,” said Alistair Russell, co-founder and CTO at Tray.io. “Tray Merlin AI completely changes the game as it instantly automates business processes and answers queries through natural language instruction. Think of Merlin as giving the LLM ‘brain’ a Tray ‘body’—a body that can take action without passing customer data back to the LLM and requires no further training to execute complex business tasks.” Tray.io Taps AI to Address the Unintended Consequences of Digital Transformation As businesses continue to grapple with the unintended consequences of rapid digital transformation efforts—such as technical debt, complex tech stacks and business process inefficiencies—every department is under enormous pressure to deliver fast results that not only meet customers' demands for timely, high-quality services, but also help the company remain profitable in the most efficient way possible. Leaders must overcome IT and developer bottlenecks by tapping into a hidden talent opportunity—employees who have technical skills, but are not using them in their primary job function. Equipping these employees with self-service AI automation is a critical enabler to driving digital initiatives at speed. According to Gartner®, “Almost half of all non-IT employees are now business technologists, and companies that successfully enable them are 2.6 times more likely to achieve digital business goals.”1 “Generative AI is currently one of the most disruptive forces in iPaaS,” said Alexander Wurm, Senior Analyst at Nucleus Research. “Vendors who embrace AI in their platforms provide an incredible step-change in ease-of-use that boosts the productivity of experienced users. When done well, it delivers immediate value to many users in the enterprise for which the benefits of the technology were previously out of reach. Companies who adopt iPaaS solutions with native generative AI capabilities will be at a substantial velocity, efficiency and agility advantage.” Tray Merlin AI: Natural Language Automation to Accelerate and Improve the Execution of Complex Tasks A core element of the Tray platform architecture, Merlin AI works seamlessly with Tray.io’s connector, workflow and API technologies—and other platform capabilities including data transformation, robust authentication mechanisms and support for advanced business logic—to deliver a flexible, low-code and AI-augmented automation builder. With Merlin, anyone—regardless of their level of technical expertise—can build complete integrations with the assistance of, or solely using, NLP, radically simplifying the automation building process for all users and supercharging team productivity. For example, Merlin can act as an autonomous assistant capable of executing complex tasks, such as collecting or moving information across disparate systems, answering questions or building automated workflows to complete a business process. “AI is revolutionizing automation, and Tray.io is at the forefront of this movement. The arrival of generative AI and the pace of innovation it enables will spell the end of the iPaaS architectures that were built for a different time,” said Rich Waldron, co-founder and CEO at Tray.io. “Tray Merlin AI brings together the power of flexible, scalable automation and AI to accelerate and improve automation outcomes for our customers, enabling them to solve business problems better, faster and more independently than ever before.” Tray Merlin AI powers the following new capabilities to accelerate automation and integration projects across the enterprise, while reducing the burden on business technologists and developers: Securely build out automation details and iterate or improve existing processes: Marketing Ops teams can refine their lead delivery processes by reducing the time it takes to deliver high-value leads to sales reps, enabling them to respond to prospects promptly. Using just natural language instructions, the person building marketing automations can improve their current process by asking Merlin to build a workflow to capture lead scoring data from Marketo, assign qualified leads to reps in Salesforce immediately any time it’s over a certain threshold, build the Outreach sequence and notify reps via Slack or Teams of the newly qualified lead. When finished, all the steps are displayed in the low-code visual builder through which the user can review and make any modifications, if required. Quickly build or augment more substantial workflows: Business technologists who are proficient at building on the Tray platform can type their request and parameters and Merlin will automatically build a workflow with the relevant business logic. Sales and customer success teams who want to deliver a more frictionless customer experience by streamlining the pre- and post-sales processes, can use natural language instructions to create a workflow that will automatically update their project management system every time a deal closes with the relevant client information from their CRM and notify the professional services team via email. With Merlin, teams can ensure there’s no delay in project execution, which results in higher levels of customer satisfaction. Obtain answers at the point-of-decision with on-demand, AI-powered automation: For non-technical employees, such as department managers, C-level executives and business users, who are not and do not need to be familiar with the Tray platform, Merlin can be used to quickly answer urgent business queries. A CMO seeking to optimize social media investments can query Merlin to identify the top lead sources for the largest “Closed Won” accounts by revenue and cross-reference the results with LinkedIn followers. To accomplish this, Merlin integrates the company’s CRM, marketing automation platform and social media management platform to deliver the result instantly. Additionally, sharing these results with the marketing leadership team via Slack or Teams can be built into the workflow based on the CMO’s natural language instruction. Merlin automatically knows when and where to search for authentications, displays all the actions it plans to carry out and obtains confirmation from the user before executing these actions. By tapping into the power of AI via a natural language interface, Tray.io further unlocks the full potential of automation and makes building automated workflows across many use cases even more accessible to all employees, significantly increasing employee efficiency and productivity. “Builders in our organization already rely on Tray as they rapidly develop the low-code workflows needed to improve operational processes across our business,” said Brendon Ritz, Senior Director of Marketing Ops at ThoughtSpot, the leading AI-powered analytics company. “With the addition of Merlin AI to the Tray platform, our business technologists can interface with Tray using natural language instruction to build faster and build better. Even more impactful is the ability for us to put the power of automation in the hands of our front-line employees and managers so they can instantly get answers to business queries that would have otherwise required weeks or months of development to work out the required integrations.” ​​About Tray.io Tray.io is a low-code automation platform that can easily turn unique business processes into repeatable and scalable workflows that evolve whenever business needs change. Unlike iPaaS solutions, which are expensive, complex, and code-intensive, Tray.io’s flexible self-service platform makes it simple to build integrations using any API and connect enterprise applications at scale without incremental costs. Process innovation is today’s competitive advantage since companies can no longer differentiate on their tech stack alone. The promise of SaaS led to an avalanche of siloed point solutions that require businesses to force their processes into rigid, predetermined schema. The Tray Platform removes these limitations, empowering both non-technical and technical users to create sophisticated workflow automations that streamline data movement and actions across multiple applications. Freed from tedious and repetitive tasks, product leaders and IT are able to uplevel their skill set with automation to unlock their full potential and do things in a way that’s right for their business. Love your work. Automate the rest.™

Read More

AI Tech, AI Applications, Software

ChurnZero announces further AI enhancements to help Customer Success teams save time, streamline tasks and increase their impact

Prnewswire | May 11, 2023

ChurnZero, the platform and partner for Customer Success, has announced three new AI enhancements to help CS teams work more efficiently and impactfully with assistance from ChurnZero's Customer Success AI™ (CS AI™). The company launched its third CS AI feature enhancement which synthesizes customer information to generate drafts of customer follow-up messages and action items. In upcoming releases this spring, CS AI will provide CS teams with deeper customer insights and offer the ability to personalize customer communications at scale. Launched in January 2023 and already adopted by 90% of ChurnZero's customers, CS AI is the first generative artificial intelligence built into a Customer Success platform, and the first designed for the CS industry. Customer Success teams use the tool's pre-loaded prompts or enter their own to instantly synthesize customer information and histories, conduct research, refine and scale communications, and generate strategic ideas. ChurnZero launched a free version of CS AI to the industry in February. By mid-March, CS professionals worldwide entered nearly 10,000 queries into the system. "There is so much potential for thoughtfully applied AI to add value to Customer Success teams, which is why we're fully committed to integrating AI into our platform workflows and data," says You Mon Tsang, CEO and co-founder, ChurnZero. "CS teams strive for efficiency and effectiveness, which is tough due to the volume of important but repetitive tasks they must complete daily. We're hearing great customer feedback from teams using CS AI on how it has significantly streamlined efforts, especially when combining AI with the platform's automation and in-app tools. We're excited by CS AI's positive impact so far, and for what comes next." ChurnZero's third CS AI feature enhancement – currently live – helps CSMs follow up on customer interactions by synthesizing meeting notes and automatically drafting insightful follow-up communications for CSMs to review and edit. CSMs can ask CS AI to change the tone of the communication, edit for length, include additional details, and more to increase relevance and value. The fourth CS AI release, coming this quarter, will offer on-demand customer briefs, providing a comprehensive picture of customer health by synthesizing all an account's information in ChurnZero into one central view. A fifth CS AI release, coming this quarter, will enable CS teams to customize templated messages with a Customer Success manager's preferred style and a tone informed by customer data, providing an ideal balance of automation and customization when operating at scale. Learn more about Customer Success AI at ChurnZero. About ChurnZero ChurnZero is the platform and partner for Customer Success, dedicated to helping subscription businesses grow and succeed at scale. ChurnZero's automation, in-app communication, health scoring, actionable reporting, revenue forecasting, and Customer Success AI™ help Customer Success teams work efficiently, deliver greater customer value, and drive more revenue. The ChurnZero team prides itself on being a top-rated partner, consultant, and coach to Customer Success teams worldwide who use ChurnZero to increase and scale their impact. Founded in 2015, ChurnZero is a remote-first company with headquarters in Washington, D.C., and an office in Amsterdam.

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