Verizon to Offer Enhanced Customer Service After Integrating Google Cloud Contact Center AI

Verizon | July 13, 2020

Verizon is piloting Google Cloud Contact Center artificial intelligence (AI) to deliver more intuitive customer support. Verizon will offer this through natural-language recognition, faster processing and real-time customer service agent assistance. The technology will allow shorter call times, quicker resolutions and better customer satisfaction, the carrier said. It also will allow Verizon to achieve those goals more quickly. David Longo is director of North American channels for Verizon Business Markets. He said this is an “exciting development” for Verizon’s customer care team.

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US Government issued directive to remove Kaspersky from its computer systems. The UK’s National Cyber Security Centre has effectively banned the use of Russian anti-virus products from government departments.


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AI TECH, GENERAL AI

Applitools Launches Partner Program to Broaden Visual AI Technology Adoption

Applitools | October 12, 2022

Applitools, provider of the next generation test automation platform powered by Visual AI, today announced the formal launch of its Partner Program with key GSI's, SI's and VAR's including Accenture, Apexon, Cap Gemini, EPAM, Infosys, Tech Mahindra, TTC and many more. Applitools is the fastest-growing software testing company in North America. The company has hundreds of customers – including more than 25% of the Fortune 500 – with a large presence in top financial services businesses, leading software and fast-growing tech companies and SMB markets globally. Applitools' goal is to build the right infrastructure and to understand what partners need most in order to create a scalable business together, which also meets the needs of their joint customers. This includes training paths and certifications, formal routes to market that match the way its partners go-to-market and a Partner Resource Center. "TTC is excited to join the Applitools Partner Program. Modern enterprises are challenged to provide a seamless experience at scale while navigating the growing number of devices customers interact with daily. "Aligning Applitools' deep experience in visual AI and test automation with TTC's broad testing expertise, we will accelerate our customers' modernization journeys and deliver on the promise of flawless customer experience." Chris Rolls, CEO America's at TTC To drive this initiative and help scale strategic partnerships globally, Applitools recently hired Alan Ota as VP of Strategic Partners. Alan brings a strong track record of successfully building businesses, channels, Technology Alliance ecosystems and managing complex programs, such as merger and acquisition integrations. Prior to joining Applitools, he worked at HP, Worksoft and Tricentis where he was SVP of Strategic Partners. Alan successfully led similar Partner Program initiatives at all three previous companies. "I am honored to lead the Partner Program at Applitools to help partners and their customers tap into the power of visual AI," said Alan. "At Applitools we believe that strengthening the community around us - including through our partners and education platforms like Test Automation University - proliferates success. With plans to scale quickly, we look forward to inviting more partners to the program soon and kicking off additional initiatives to continue to increase the value we deliver." Flawless UI/UX is critical for successful Digital Transformation. The recently released State of UI/UX Testing Report 2022 (applitools.info/kod) indicates that customers are actively implementing Continuous Delivery (CD) and that automation, including visual testing, and cross browser/device testing are key enablers of CD and Digital Transformation. The report also showed that most organizations' current testing techniques are unable to meet the quality engineering demands for their digital products and services. This is why Applitools is investing in its partners, and partnering with the top GSI's, SI's and VAR's to match customer needs and to solve the challenges IT departments face to deliver flawless apps. About Applitools Applitools is leading the industry in the application of artificial intelligence (AI) and machine learning (ML) to test automation, delivering a next generation test automation platform powered by Visual AI. Over 400 of the world's top brands from verticals such as Tech, Banking, Insurance, Retail, Pharma, and Publishing -- including 50 of the Fortune 100 -- use Applitools to deliver the best possible digital experiences to millions of customers on any device and browser, and across every screen size and operating system. Applitools' Ultrafast Test Cloud modernizes critical test automation use cases -- Functional Testing, Visual Testing, Web and Mobile UI/UX Testing, Cross Browser Testing, Responsive Web Design Testing, Cross Device Testing, PDF Testing, Accessibility Testing and Compliance Testing -- to transform the way businesses deliver innovation at the speed of DevOps without jeopardizing their brand.

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SOFTWARE, COMPUTER VISION

Deci Introduces World’s Most Advanced Semantic Segmentation Models

Deci | September 26, 2022

Deci, the deep learning company harnessing AI to build AI, today announced a new set of industry-leading semantic segmentation models, dubbed DeciSeg. Deci’s proprietary Automated Neural Architecture Construction (AutoNAC) technology automatically generated semantic segmentation models that significantly outperform the most powerful models publicly available, such as the MobileViT released by Apple, and the DeepLab family released by Google. Deci’s models deliver more than 2x lower latency, as well as 3-7% higher accuracy. Semantic segmentation is one of the most widely used computer vision tasks across many business verticals, including automotive, smart cities, healthcare, and consumer applications, and is often required for many edge AI applications. However, significant barriers exist to running semantic segmentation models directly on edge devices, such as high latency and the inability to deploy those models due to their size. With DeciSeg models, semantic segmentation tasks that previously could not be carried out at the edge because they were too resource intensive are now possible. This allows companies to develop new use cases and applications on edge devices, reduce inference costs (since AI practitioners will no longer need to run these tasks in expensive cloud environments), open new markets, and shorten development times. “DeciSegs are an example of the power of Deci’s AutoNAC engine capabilities to generate custom hardware-aware deep learning models with unparalleled performance on any hardware. AI teams can easily use DeciSegs models or leverage Deci’s AutoNAC engine to build and deploy custom models that run real-time computer vision tasks on their edge devices.” said Yonatan Geifman, PhD, co-founder and CEO of Deci. Deci’s platform has a proven-track record in enabling AI at the edge and empowering AI teams to build and deploy production grade deep learning models. Earlier this year, Deci announced the discovery of DeciNets for CPUs, which reduced the gap between a model’s inference performance on a GPU versus a CPU by half, without sacrificing the model’s accuracy, enabling AI to run on lower cost, resource constrained hardware. “In the world of automated deep neural network design and construction, Deci’s AutoNAC technology is a game changer. It uses deep learning to search vast spaces of neural networks for the model most appropriate for a particular task and particular AI chip. In this case, AutoNAC was applied to the Pascal VOC Semantic Segmentation task on NVIDIA’s Jetson Xavier NX™ chip and we are very pleased with the results.” said Ran El-Yaniv, co-founder and Chief Scientist of Deci and Professor of Computer Science at the Technion – Israel Institute of Technology. Deci’s platform is serving customers across industries in various production environments including edge, mobile, data centers and cloud. To learn more about how leading AI teams leverage Deci’s platform to build production grade models and accelerate inference performance, visit here. About Deci Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company's deep learning development platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment including cloud, edge, and mobile, allowing them to revolutionize industries with innovative products. The platform is powered by Deci's proprietary automated Neural Architecture Construction technology (AutoNAC), which automatically generates and optimizes deep learning models' architecture and allows teams to accelerate inference performance, enable new use cases on limited hardware, shorten development cycles and reduce computing costs. Founded by Yonatan Geifman, Jonathan Elial, and Professor Ran El-Yaniv, Deci's team of deep learning engineers and scientists are dedicated to eliminating production-related bottlenecks across the AI lifecycle.

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SOFTWARE, FUTURE TECH, COMPUTER VISION

Computer Vision Leader VISUA Launches Low-Code & No-Code Implementation

VISUA | October 18, 2022

Leading Computer Vision (Visual-AI) company, VISUA has launched two new ways to integrate Computer Vision into any workflow without the need for developers. VISUA enjoys a broad customer base comprising leading global companies like Brandwatch, TVEyes and GearLaunch, covering sectors as diverse as brand monitoring, brand protection, cyber security and print-on-demand marketplaces. All these companies make use of VISUA’s API to send media for processing and to control the numerous options available during processing. Finally, the API delivers the results back to them in JSON or XML format. The data can then be integrated into their own data sources to deliver a combined dashboard of data to their clients. However, in recent years, new sectors have begun to take an interest in how Computer Vision can help them meet their business challenges, often driven by regulatory requirements that demand controls and oversight on the sale of counterfeit and trademark/copyright infringing products, or simply to moderate harmful content, such as hate speech on their platform. Many of these are not ‘high-tech’ companies and have relatively small developer teams focused on development of their core business requirements. As such, they either have no ability to work with an advanced API or simply have no need to integrate the results of processed media into their platform. Having identified API-less access to its suite of Computer Vision technologies as a key opportunity, VISUA has worked to deliver workable solutions and now announces the launch of two new ways to leverage the power of Computer Vision: No-Code Computer Vision Clients can place media to be processed in an authenticated repository. VISUA’s engine will collect the files and process them. Extracted data is then placed in a VISUA dashboard for the client to interrogate. Where the client needs to link the findings of a specific image or video back to their platform, they simply add the listing, order or post details into the file’s metadata, which is then converted into a link that points to the relevant page on the client’s site. This implementation is ideal for clients with lower processing volume requirements and/or have no developer resource to work with the API. Low-Code Computer Vision Clients use the API to send media to our engine and provide corresponding listing/order/post details. Once processed, the extracted data is presented to the client via the VISUA dashboard. This is ideal for clients with higher volume processing needs and/or some resource to use the API, but have no need to integrate the extracted data into their platform. "APIs are the key to accessing the best external systems and technologies across the world, but their use is not for everyone. Our No-Code and Low-Code implementations now put the power of VISUA’s Computer Vision stack in everyone’s hands, no matter their size or development capabilities.” VISUA, co-founder and CTO, Alessandro Prest Luca Boschin, VISUA, co-founder and CEO, adds: “We have seen a growing demand for computer vision by marketplaces and content platforms. Perhaps because perceptions and attitudes towards platforms that allow the sale of fake & copyright/trademark infringing goods, and harmful content continues to grow ever more negative. Or that new legislation, like the Digital Services Act in Europe, are forcing platforms and providers of intermediary services to deal with these issues. When it comes to detecting and blocking visual content, the only way to do it effectively is using computer vision. But many of these companies have limited development capabilities, so our No-Code and Low-Code options have been developed to allow any company with a need to harness Computer Vision with a means to do so. About VISUA VISUA boasts best-in-class Visual-AI that powers the world’s leading brand and sponsorship monitoring, brand protection, and authentication platforms. VISUA delivers technologies such as logo/mark detection, text detection, object & scene detection and visual search, that are used by world leading companies for applications as varied as sports sponsorship monitoring, social listening, and phishing detection, to holographic authentication and counterfeit product detection. Its Visual-AI technology is proven to deliver the highest precision with instant learning, at unlimited scale, and is adaptable for any use case. VISUA believes in People-First AI, they see a world where Visual-AI will lift humanity out of the mundane, empowering a society that focuses more on creativity and collaboration and less on binary tasks, and empowering services and solutions that humans alone simply can’t deliver.

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AI TECH, GENERAL AI, SOFTWARE

Gong Introduces the First User-Trainable AI System for Deep Understanding of Customer Conversations

Gong | October 21, 2022

Gong, the Revenue Intelligence leader, today launched Smart Trackers™, the first user-trainable AI system for deep understanding of customer conversations. Smart Trackers enable customer-facing teams to identify deal risks and opportunities, understand the effectiveness of strategic initiatives, replicate best practices, and get ahead of emerging market needs. Smart Trackers, patent-pending and embedded within the Gong Reality Platform, deliver up to three times more accuracy compared to legacy keyword trackers. Using AI and machine learning, Smart Trackers go beyond keyword recognition to understand the context of all customer interactions captured and analyzed in Gong's platform. They are hyper-personalized, allowing customer-facing teams to tailor them to their business, market, and priorities. Smart Trackers pick up on different ways a concept can be communicated (e.g., a buyer might ask for a discount by asking "Can I get a better price?" or "Can you go any lower?") without having to be an exact match. Smart Trackers then surface insights to help sales leaders and reps identify and double-down on what's working and quickly adjust or eliminate what's not. Measuring the effectiveness of strategic initiatives, such as new product launches, messaging, and pricing campaigns is notoriously difficult for revenue teams. According to a recent Harvard Business Review study, more than 50% of sales leaders think their existing solutions for measuring the success of initiatives are too difficult. Today, revenue teams rely on keyword searches that hunt in pools of lagging data, and anecdotal and incomplete information from sales reps manually entered into CRM systems. "In the past, we would make up phrases that we assumed would come up in conversations," said Fizza Zaman, Business Intelligence Analyst at CoreLogic Solutions. "There was no data or method to it. Having Smart Trackers is a game changer for us because now we have a tracker in the background that's doing all the work and is accurate. We can now get impactful insights without doing all the heavy lifting." "For many organizations, keyword trackers operate like a sprinkler, spraying terms all over data that is often inaccurate and stale. "Smart Trackers set a new precedent, putting the power of AI in the hands of revenue teams to quickly and accurately identify customer sentiment, trends coming up in conversations, and the impact of key initiatives. The result is quick, better decision-making to optimize revenue potential." Gong Co-Founder and Chief Product Officer Eilon Reshef Smart Trackers can be set up quickly and easily, reducing the laborious fine-tuning and quality assurance necessary for keyword trackers. Additionally, with the increased accuracy, Smart Trackers produce a more substantial payoff for teams, with more timely and valuable insights, at scale. Smart Trackers are available in Gong's new Initiatives dashboard, giving revenue leaders one place to measure field adoption and pipeline impact of strategic initiatives. About Gong Gong unlocks reality to help people and companies reach their full potential. The Reality Platform™ autonomously empowers customer-facing teams to take advantage of their most valuable assets – customer interactions, which the Gong platform captures and analyzes. Gong then delivers insights at scale, enabling revenue and go-to-market teams to determine the best actions for repeatable winning outcomes. More than 3,000 innovative companies like Morningstar Inc., Paychex, LinkedIn, Shopify, Slack, Sprout Social, Twilio, and Zillow trust Gong to power their business reality.

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US Government issued directive to remove Kaspersky from its computer systems. The UK’s National Cyber Security Centre has effectively banned the use of Russian anti-virus products from government departments.

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