IT on IT: Changing Perceptions of the IT Function and Why They Matter

There can be no doubt that IT is on the leading edge of digital transformation, driving organizational change that is fully bringing enterprises into the digital era. And there’s no shortage of think pieces and editorials on how this has shifted the role of IT. But in the discussion, what’s often missing is the perspective of the IT professionals on the front lines, the ones doing the work day in and day out, often spending significant time even after hours to keep the business on track.

Spotlight

Cybage

Cybage Software Pvt. Ltd. is a technology consulting organization specializing in outsourced product engineering services. As a leader in hi-tech and product engineering space, Cybage works with some of the world’s best Independent Software Vendors (ISVs). Our solutions are focused on modern technologies, and are enabled by a scientific, data driven system called ExcelShore® Model of Operational Excellence. This unique model de-risks our approach, provides better predictability, and ensures a better value per unit cost to our clients.

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AI Tech

Are Telcos Ready for a Quantum Leap?

Article | September 8, 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, Low-Code App Development, Application Development Platform

Empowering Industry 4.0 with Artificial Intelligence

Article | June 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.

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Neural Networks

How Artificial Intelligence Is Transforming Businesses

Article | September 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

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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).

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Spotlight

Cybage

Cybage Software Pvt. Ltd. is a technology consulting organization specializing in outsourced product engineering services. As a leader in hi-tech and product engineering space, Cybage works with some of the world’s best Independent Software Vendors (ISVs). Our solutions are focused on modern technologies, and are enabled by a scientific, data driven system called ExcelShore® Model of Operational Excellence. This unique model de-risks our approach, provides better predictability, and ensures a better value per unit cost to our clients.

Related News

Software, Future Tech

Complete Support for MISRA C 2023 in New Release of C & C++ Testing Solution Enables Seamless Compliance

Prnewswire | June 01, 2023

Parasoft, a global leader in embedded software testing solutions, has announced the release of C/C++test 2023.1 with complete support of MISRA C 2023 and MISRA C 2012 with Amendment 4. MISRA C is the most popular coding standard for safe and secure C software development. The new release helps developers automate static code analysis and coding standards compliance, increase productivity, and shorten time to market. The latest version introduces a wide range of new features and enhancements designed to: Boost productivity throughout the software development life cycle. Expedite time to market. Automate compliance. Ensure the delivery of safe, secure, and reliable applications. With the publishing of MISRA C 2023, developers now have the rules to ensure safe and secure use of C11 features, such as: Atomics (_Atomic, ) Multi-threading ( ) Parasoft's compliance reporting module has been updated accordingly, ensuring that the MISRA conformant reports are available in Parasoft DTP, consolidating testing results in intelligent dashboards, detailed reports, and actionable analytics. This allows companies to satisfy compliance with the most up to date version of the MISRA C 2023 standard. To learn more about the release of C/C++test 2023.1, register for the upcoming webinar, "Get Complete MISRA C 2023 Support in New Parasoft C/C++test Release," on June 8 at 9 a.m. PDT. One of the major highlights of C/C++test 2023.1 is the comprehensive and continuous enforcement of safety and security coding standards. The inclusion of MISRA C 2023 introduces 19 new rules and three new directives that apply when writing code. This includes further guidance on the use of: Unused objects Small integer constants Chained initialization Variably modified arrays "Parasoft is devoted to ensuring that our customers are supported with the latest technology in software test automation. This release of C/C++test completely supports the latest MISRA C 2023 standard and contains other software test automation solutions that reduce effort and costs and ensure delivery of safe, secure, and high-quality applications," said Igor Kirilenko chief product officer at Parasoft. Development teams can expect a remarkable 25% improvement in flow analysis performance. In addition, fewer files will be excluded from the analysis and result in higher result's accuracy. Expanding its support for DevOps CI/CD workflows, C/C++test 2023.1 presents the new C/C++test Bazel integration package. This integration empowers developers to seamlessly incorporate Parasoft's static analysis into any Bazel CI pipeline, streamlining the development process. Teams can simplify static analysis deployments for Bazel-based projects and reduce the time required to integrate and maintain the toolchain. Request a demo to see how Parasoft's solution can help embedded development teams achieve compliance with the latest edition of the coding standard and deploy their products to the market. About Parasoft Parasoft helps organizations continuously deliver quality software with its market-proven, integrated suite of automated software testing tools. Supporting the embedded, enterprise, and IoT markets, Parasoft's technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft's award winning reporting and analytics dashboard delivers a centralized view of quality enabling organizations to deliver with confidence and succeed in today's most strategic ecosystems and development initiatives — security, safety-critical, Agile, DevOps, and continuous testing.

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General AI, AI Applications, Future Tech

Mlytics Unveils AI-Powered Conversational Chatbot, Revolutionizing Customer Experience

Prnewswire | May 22, 2023

Mlytics, a company focused on web optimization solutions and augmenting technology video stream companies, is introducing a new addition to their platform, a GPT-powered Mlytics AI Assistant. This development is not meant to be a new commodity, but rather an embodiment of Mlytics' dedication to improving the user's digital experience on their platform. The Mlytics AI Assistant provides real-time, personalized assistance, facilitating immediate responses to inquiries and insightful product suggestions. As a 24/7 virtual assistant, it's designed to provide efficient, accurate support, increasing user satisfaction and streamlining communication processes. Its primary role is to co-pilot users in understanding Mlytics' products, finding customized solutions for unique customer resquest specific industry, diagnostic the problem, and to guide them through onboarding and troubleshooting without extensive reliance on a knowledge base. The implementation of AI technology further emphasizes Mlytics' commitment to enhancing customer service and support, and is in line with their objective of integrating AI and analytics to optimize customer experiences. "Mlytics is constantly learning and adapting to improve customer experiences," said Edward Hu, VP of Business Strategy & Insights. "Our Mlytics AI Assistant is another medium to make our platform more accessible. We see the potential of language model learning and are experimenting it to provide a more intuitive experience for our users. We look forward to seeing how this addition will contribute to the web and streaming industry." In addition to the Mlytics AI Assistant, Mlytics is also experimenting with implementing more AI features into its platform. True AI CDN load balancing and conversational data analytics are just a few examples of the exciting developments on the horizon. About Mlytics Mlytics is a leading provider of web optimization and video streaming solutions, empowering businesses with data-driven insights and intelligent automation. With a focus on optimizing customer experiences, Mlytics combines advanced AI technologies with cutting-edge analytics to deliver innovative solutions that drive business growth and customer satisfaction.

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General AI, AI Applications, Software

Aviso AI Unveils First Generative AI Designed to be Chief of Staff for Revenue and GTM Teams

Businesswire | May 16, 2023

Aviso, the only end-to-end AI revenue operating system, announced today the launch of MIKI, the industry’s first AI-powered Chief of Staff for Revenue and GTM teams. MIKI is a purpose-built, assistive front-end on top of the Aviso platform. MIKI makes accessing, updating and acting on insights from CRM, Cloud Databases, ERP, emails, recorded meetings, and other GTM datasets faster, more conversational, and actionable. Fueled by Aviso’s proprietary Time-Series database that has generated over 500B insights, analyzed over $1 Trillion in pipeline, and created over $550B in total won deals across its customers, MIKI – which stands for Machine Intelligent, Knowledge Interface – provides the quickest way to conduct AI-driven analysis, recommendations, automation, content generation and execution assistance for GTM activities. A Trusted and Secure Way to Bring Generative AI into B2B Generative AI has opened the door for faster summarization, analysis and content generation, however security concerns around ChatGPT in B2B remain for IT and business buyers. Due to ChatGPT’s open nature, and the sensitivity around customer data in CRM, call recordings, digital interactions and emails, more enterprises have restricted using the popular open source Large Language Model in the workplace. More than 90 percent of executives believe in Generative AI’s ability to improve decision-making, however less than 20 percent were willing to use ChatGPT in their revenue and GTM activities according to a recent survey. Aviso’s encrypted, highly secure frameworks are designed to handle structured and unstructured data, allowing customers to run different scenarios and prompts based on over 1,000 different signals. These frameworks can be further personalized based on buyer seniority, emotions identified during calls, or aspects driving sentiment to generate data-informed, high-quality messaging for buyers. “We believe Generative AI functionality can deliver immediate results and change how they work long term, but only when the underlying core models are robust and accurate in highly secure private environments. This grants our customers the ability to safely observe, explore, detect patterns from proprietary data sets, and act on them across industries in real time,” said Trevor Rodrigues Templar, CEO of Aviso AI. “We’re confident this helps our customers like Honeywell, New Relic, Mural, Armis and DataStax turn Generative AI from a nice to have, into the preferred interface and workflow for faster action.” AI Constructs that Act as the Next Best Thing to a Chief of Staff MIKI helps deliver personalized decision-making at scale, leveraging the unique knowledge graph that Aviso has for each industry, customer, persona and individual user. The proprietary AI improves a sales rep or GTM member’s meeting notes frequency in any field in CRM – whether Salesforce, Dynamics or other CRM/ERP systems of records – via automated workflow and simple text or voice interactions. MIKI automates Next Best Action synchronized to the individual’s calendar to increase the timing and likelihood of the rep taking action. Notifications surface insights into buyer emotion and propensity to buy now vs. later based on each interaction the contact has with the company. MIKI can then generate content personalized for key executives at target accounts based on prompts that are automated like earnings call summaries and analysis, notifications on key customer events, executive departures or champion moves or changes. “With MIKI, I don’t need to do any more note taking or updating next steps or mutual close plans or weekly forecast or deal reviews; MIKI does it for me based on my guidance and revenue history,” said the CRO of a Fortune 50 global industrial organization and early beta customer of MIKI. “I love how MIKI is delivering on the promise of personalization at scale leveraging our unique knowledge graph for each team and end user.” Aviso’s end-to-end AI revenue platform helps Fortune 50 enterprises and fast-growing companies gain a competitive advantage with a single platform that brings Generative AI together with customer, deal and prospect data captured within Aviso and federated with external systems. MIKI first debuted at the New York Stock Exchange, and will continue its debut tour on May 16 and 17 in Las Vegas at Gartner’s Sales Leader Conference. About Aviso AI Aviso is the AI-guided Revenue Operating System that helps sales and go-to-market teams accelerate growth, win more deals, and reduce risk. Aviso AI delivers integrated revenue intelligence, drives team-wide actions and course corrections, and augments sales teams while reducing the burden of CRM. With demonstrated results across industry leaders such as Honeywell, Seagate, Elastic, Armis, RingCentral, and Marlin Equity Partners, Aviso works at the frontier of AI across deep learning, speech recognition, decision science, and computer vision. Aviso is backed by Storm Ventures, Scale Venture Partners, Shasta Ventures, and leading Silicon Valley and global technology investors.

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Software, Future Tech

Complete Support for MISRA C 2023 in New Release of C & C++ Testing Solution Enables Seamless Compliance

Prnewswire | June 01, 2023

Parasoft, a global leader in embedded software testing solutions, has announced the release of C/C++test 2023.1 with complete support of MISRA C 2023 and MISRA C 2012 with Amendment 4. MISRA C is the most popular coding standard for safe and secure C software development. The new release helps developers automate static code analysis and coding standards compliance, increase productivity, and shorten time to market. The latest version introduces a wide range of new features and enhancements designed to: Boost productivity throughout the software development life cycle. Expedite time to market. Automate compliance. Ensure the delivery of safe, secure, and reliable applications. With the publishing of MISRA C 2023, developers now have the rules to ensure safe and secure use of C11 features, such as: Atomics (_Atomic, ) Multi-threading ( ) Parasoft's compliance reporting module has been updated accordingly, ensuring that the MISRA conformant reports are available in Parasoft DTP, consolidating testing results in intelligent dashboards, detailed reports, and actionable analytics. This allows companies to satisfy compliance with the most up to date version of the MISRA C 2023 standard. To learn more about the release of C/C++test 2023.1, register for the upcoming webinar, "Get Complete MISRA C 2023 Support in New Parasoft C/C++test Release," on June 8 at 9 a.m. PDT. One of the major highlights of C/C++test 2023.1 is the comprehensive and continuous enforcement of safety and security coding standards. The inclusion of MISRA C 2023 introduces 19 new rules and three new directives that apply when writing code. This includes further guidance on the use of: Unused objects Small integer constants Chained initialization Variably modified arrays "Parasoft is devoted to ensuring that our customers are supported with the latest technology in software test automation. This release of C/C++test completely supports the latest MISRA C 2023 standard and contains other software test automation solutions that reduce effort and costs and ensure delivery of safe, secure, and high-quality applications," said Igor Kirilenko chief product officer at Parasoft. Development teams can expect a remarkable 25% improvement in flow analysis performance. In addition, fewer files will be excluded from the analysis and result in higher result's accuracy. Expanding its support for DevOps CI/CD workflows, C/C++test 2023.1 presents the new C/C++test Bazel integration package. This integration empowers developers to seamlessly incorporate Parasoft's static analysis into any Bazel CI pipeline, streamlining the development process. Teams can simplify static analysis deployments for Bazel-based projects and reduce the time required to integrate and maintain the toolchain. Request a demo to see how Parasoft's solution can help embedded development teams achieve compliance with the latest edition of the coding standard and deploy their products to the market. About Parasoft Parasoft helps organizations continuously deliver quality software with its market-proven, integrated suite of automated software testing tools. Supporting the embedded, enterprise, and IoT markets, Parasoft's technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft's award winning reporting and analytics dashboard delivers a centralized view of quality enabling organizations to deliver with confidence and succeed in today's most strategic ecosystems and development initiatives — security, safety-critical, Agile, DevOps, and continuous testing.

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General AI, AI Applications, Future Tech

Mlytics Unveils AI-Powered Conversational Chatbot, Revolutionizing Customer Experience

Prnewswire | May 22, 2023

Mlytics, a company focused on web optimization solutions and augmenting technology video stream companies, is introducing a new addition to their platform, a GPT-powered Mlytics AI Assistant. This development is not meant to be a new commodity, but rather an embodiment of Mlytics' dedication to improving the user's digital experience on their platform. The Mlytics AI Assistant provides real-time, personalized assistance, facilitating immediate responses to inquiries and insightful product suggestions. As a 24/7 virtual assistant, it's designed to provide efficient, accurate support, increasing user satisfaction and streamlining communication processes. Its primary role is to co-pilot users in understanding Mlytics' products, finding customized solutions for unique customer resquest specific industry, diagnostic the problem, and to guide them through onboarding and troubleshooting without extensive reliance on a knowledge base. The implementation of AI technology further emphasizes Mlytics' commitment to enhancing customer service and support, and is in line with their objective of integrating AI and analytics to optimize customer experiences. "Mlytics is constantly learning and adapting to improve customer experiences," said Edward Hu, VP of Business Strategy & Insights. "Our Mlytics AI Assistant is another medium to make our platform more accessible. We see the potential of language model learning and are experimenting it to provide a more intuitive experience for our users. We look forward to seeing how this addition will contribute to the web and streaming industry." In addition to the Mlytics AI Assistant, Mlytics is also experimenting with implementing more AI features into its platform. True AI CDN load balancing and conversational data analytics are just a few examples of the exciting developments on the horizon. About Mlytics Mlytics is a leading provider of web optimization and video streaming solutions, empowering businesses with data-driven insights and intelligent automation. With a focus on optimizing customer experiences, Mlytics combines advanced AI technologies with cutting-edge analytics to deliver innovative solutions that drive business growth and customer satisfaction.

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General AI, AI Applications, Software

Aviso AI Unveils First Generative AI Designed to be Chief of Staff for Revenue and GTM Teams

Businesswire | May 16, 2023

Aviso, the only end-to-end AI revenue operating system, announced today the launch of MIKI, the industry’s first AI-powered Chief of Staff for Revenue and GTM teams. MIKI is a purpose-built, assistive front-end on top of the Aviso platform. MIKI makes accessing, updating and acting on insights from CRM, Cloud Databases, ERP, emails, recorded meetings, and other GTM datasets faster, more conversational, and actionable. Fueled by Aviso’s proprietary Time-Series database that has generated over 500B insights, analyzed over $1 Trillion in pipeline, and created over $550B in total won deals across its customers, MIKI – which stands for Machine Intelligent, Knowledge Interface – provides the quickest way to conduct AI-driven analysis, recommendations, automation, content generation and execution assistance for GTM activities. A Trusted and Secure Way to Bring Generative AI into B2B Generative AI has opened the door for faster summarization, analysis and content generation, however security concerns around ChatGPT in B2B remain for IT and business buyers. Due to ChatGPT’s open nature, and the sensitivity around customer data in CRM, call recordings, digital interactions and emails, more enterprises have restricted using the popular open source Large Language Model in the workplace. More than 90 percent of executives believe in Generative AI’s ability to improve decision-making, however less than 20 percent were willing to use ChatGPT in their revenue and GTM activities according to a recent survey. Aviso’s encrypted, highly secure frameworks are designed to handle structured and unstructured data, allowing customers to run different scenarios and prompts based on over 1,000 different signals. These frameworks can be further personalized based on buyer seniority, emotions identified during calls, or aspects driving sentiment to generate data-informed, high-quality messaging for buyers. “We believe Generative AI functionality can deliver immediate results and change how they work long term, but only when the underlying core models are robust and accurate in highly secure private environments. This grants our customers the ability to safely observe, explore, detect patterns from proprietary data sets, and act on them across industries in real time,” said Trevor Rodrigues Templar, CEO of Aviso AI. “We’re confident this helps our customers like Honeywell, New Relic, Mural, Armis and DataStax turn Generative AI from a nice to have, into the preferred interface and workflow for faster action.” AI Constructs that Act as the Next Best Thing to a Chief of Staff MIKI helps deliver personalized decision-making at scale, leveraging the unique knowledge graph that Aviso has for each industry, customer, persona and individual user. The proprietary AI improves a sales rep or GTM member’s meeting notes frequency in any field in CRM – whether Salesforce, Dynamics or other CRM/ERP systems of records – via automated workflow and simple text or voice interactions. MIKI automates Next Best Action synchronized to the individual’s calendar to increase the timing and likelihood of the rep taking action. Notifications surface insights into buyer emotion and propensity to buy now vs. later based on each interaction the contact has with the company. MIKI can then generate content personalized for key executives at target accounts based on prompts that are automated like earnings call summaries and analysis, notifications on key customer events, executive departures or champion moves or changes. “With MIKI, I don’t need to do any more note taking or updating next steps or mutual close plans or weekly forecast or deal reviews; MIKI does it for me based on my guidance and revenue history,” said the CRO of a Fortune 50 global industrial organization and early beta customer of MIKI. “I love how MIKI is delivering on the promise of personalization at scale leveraging our unique knowledge graph for each team and end user.” Aviso’s end-to-end AI revenue platform helps Fortune 50 enterprises and fast-growing companies gain a competitive advantage with a single platform that brings Generative AI together with customer, deal and prospect data captured within Aviso and federated with external systems. MIKI first debuted at the New York Stock Exchange, and will continue its debut tour on May 16 and 17 in Las Vegas at Gartner’s Sales Leader Conference. About Aviso AI Aviso is the AI-guided Revenue Operating System that helps sales and go-to-market teams accelerate growth, win more deals, and reduce risk. Aviso AI delivers integrated revenue intelligence, drives team-wide actions and course corrections, and augments sales teams while reducing the burden of CRM. With demonstrated results across industry leaders such as Honeywell, Seagate, Elastic, Armis, RingCentral, and Marlin Equity Partners, Aviso works at the frontier of AI across deep learning, speech recognition, decision science, and computer vision. Aviso is backed by Storm Ventures, Scale Venture Partners, Shasta Ventures, and leading Silicon Valley and global technology investors.

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