AI TECH, GENERAL AI, AI APPLICATIONS
tekvizion | September 21, 2022
tekVizion is working with Amazon Web Services (AWS) to make it easy for enterprises to add conversational artificial intelligence (AI), such as bots and interactive voice response systems (IVRs), to their existing contact center platforms. With the solution, IT administrators can quickly improve caller experience and reduce agent handle times without the cost and disruption of upgrading their entire contact center.
The tekVizion 360 solution leverages two primary AWS services: Amazon Lex and the Amazon Chime SDK. Amazon Lex is an AWS service with advanced natural language models to design, build, test, and deploy conversational interfaces in applications. The Amazon Chime SDK lets builders easily add real-time voice, video, and messaging into their applications. The Amazon Chime SDK is pre-integrated with Amazon Lex and common enterprise voice infrastructure, so you can easily add conversational experiences to contact centers that support the Session Initiation Protocol (SIP) for voice communication.
“Working together with the AWS team, tekVizion built a solution to reduce the burden on call center agents and administrators with conversational AI. Amazon Lex will assist customers with minor requests and improve the entire user experience.”
Chakra Devalla, CEO of tekVizion
Combining tekVizion’s call center expertise and AWS’s capabilities in automation and AI enables contact centers to focus on critical issues, improved end user experience, faster resolution time, and easing burdens on internal teams. In addition, tekVizion continuously tests the contact center platform and Amazon Lex integration with powerful testing tools combined with their industry-leading interoperability lab for contact center and testing experts.
“Today’s customers want instant, personalized, and effective resolutions for their problems,” said Sid Rao, General Manager of Amazon Chime SDK at Amazon Web Services, Inc. “What makes tekVizion’s solution innovative is their ability to use the Amazon Chime SDK to capture the intelligent results from Amazon Lex and integrate these results with third-party on-premises and cloud contact center platforms and agent desktops. By harnessing Amazon Lex’s speech-to-text and natural language understanding features, tekVizion customers can deploy conversational interactive voice response systems that improve call containment, customer engagement, and customer satisfaction scores.”
About tekVizion PVS, Inc
tekVizion is an independent, global testing lab that provides hundreds of multi-vendor end to end solution validation, certification and integration testing to service providers, vendors, and enterprises. tekVizion’s testing helps accelerate the time to value, improve product quality and future proof investments in business communications.
AI TECH,GENERAL AI
Amazon Web Services | November 30, 2022
At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:AMZN), and Slalom, LLC (Slalom), a global business and technology consulting company, announced a multiyear extension to the companies’ global Strategic Collaboration Agreement (SCA). The two companies will work together to develop vertical solutions and accelerators on AWS for customers in the energy, financial services, healthcare, life sciences, public sector, and media and entertainment industries, delivering specialized end-to-end cloud migration and modernization services to help accelerate their cloud journeys. In addition to supporting accelerated growth in Slalom markets in the U.S., the United Kingdom, Canada, Australia, Germany, Japan, and New Zealand, AWS and Slalom in 2023 will jointly create go-to-market strategies and make co-investments in support of Slalom’s continued expansion into Ireland and the Netherlands, followed by additional countries in Latin America, Asia Pacific, and through Europe over the next three years.
As part of the agreement, AWS and Slalom are expanding upon their 2019 announced collaboration to deliver AWS | Slalom Launch Centers (Launch Centers) that help enterprises accelerate their business transformations and modernize information technology services. Launch Centers provide customers with access to the unique combination of AWS Professional Services—a global team of AWS experts who help customers reach their desired outcomes with the cloud—and Slalom’s expertise in business transformation, software engineering, and analytics capabilities. Over the last three years, more than 160 customers have migrated and modernized to AWS through their work with Launch Centers.
AWS is working with Slalom to develop solutions to help customers solve specific industry challenges. For example, Slalom offers the Slalom Meter Data Analytics solution on AWS, which uses Amazon SageMaker (AWS’s service for building, training, and deploying machine learning models in the cloud and at the edge) to help utility and renewable energy customers improve billing and energy efficiency, and forecast power outages. In addition, the companies collaborated to introduce in 2022 Slalom Agile Supply Chain, a solution aimed at helping manufacturing customers build agility and resiliency into their supply chains to reduce costs, increase capacity, and improve their customers’ experiences.
“This agreement enhances our relationship with AWS and serves as a key growth driver for Slalom’s business over the next three years. “Through the expansion of our AWS practice, we will be better equipped to help our customers find new ways to use AWS technologies to dream bigger, move faster, and build better tomorrows for all.”
Brad Jackson, CEO of Slalom
“Slalom has a proven track record and is a trusted partner in providing innovative business and technology consulting services to our mutual customers, helping them accelerate their transitions to the cloud and leverage the vast portfolio of AWS services to drive innovation,” said Ruba Borno, vice president, Worldwide Channels and Alliances at AWS. “By extending our collaboration with Slalom, expanding more broadly into markets together, and combining Slalom’s consulting and technical skills with our leading cloud services and migration expertise, we are giving customers a broader range of capabilities and offerings to better support their cloud strategies and digital transformation journeys.”
TC Energy is a North American energy company headquartered in Canada. Working with AWS and Slalom, TC Energy used the Amazon Working Backwards process to envision and then build a new business intelligence application that maximizes capacity in its network of gas pipelines. Maximizing pipeline capacity helps TC Energy avoid the years-long process, capital expenditures, and environmental impact associated with building new pipelines. “We will save millions of dollars in greenhouse gas emissions costs by innovating on AWS,” said Peter Jarmola, TC Energy’s director of enterprise innovation, in an AWS-published case study. “That’s an important benefit because it helps us demonstrate to our customers, our regulators, and the government that we are a responsible operator.”
Slalom—an AWS Premier Tier Services Partner in the AWS Partner Network for over a decade, the 2021 National Systems Integrator Partner of the Year in the US, and the 2022 SI Partner of the Year in North America—holds 15 AWS Competencies and seven AWS Service Delivery designations. In addition to the more than 160 customers who have migrated and modernized with Launch Centers, more than 500 customers have optimized their business in the cloud by working together with AWS Professional Services and Slalom.
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 96 Availability Zones within 30 geographic regions, with announced plans for 15 more Availability Zones and five more AWS Regions in Australia, Canada, Israel, New Zealand, and Thailand. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon.
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 13,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We’re honored to be consistently recognized as a great place to work, including being one of Fortune’s 100 Best Companies to Work For seven years running.
AI TECH, SOFTWARE, FUTURE TECH
Seabury Solutions | October 14, 2022
Seabury Solutions, a market leader in providing Information Technology solutions for the aviation industry, announced today the integration of AI solutions through strategic partnerships.
“Aurora’s intelligent scheduling technology improves MRO throughput, resulting in improved transparency and reduced costs, while also resulting in superior operations management. Aurora was developed to help tackle difficult, mission-critical scheduling problems—by using artificial intelligence technologies to encode extensive expert domain knowledge with advanced algorithms to generate more efficient schedules. Today, Aurora manages the most demanding operations for organizations such as The Boeing Company, Mitsubishi Heavy Industries, Bombardier Learjet, Spirit AeroSystems, General Dynamics Electric Boat, Korea Aerospace Industries, and the US Air Force, US Space Force, and US Navy,” says Richard Stottler, President, Stottler Henke.
“Having seen OEMs and Tier 1s invest in predictive maintenance driven AI channels, it was crucial that AI found its way into enhancing data quality and integrity using data driven models. This acts as a segway into helping organizations visualize commercial impact of decisions using an Aircraft, Engine or Component’s Airworthiness and Maintenance data. KeepFlying sees great potential for Airlines, MROs, Lessors and Banks to create financial twins for the Assets they operate, lease, maintain and finance to predict costs, revenues, asset placement commercial potentials and risks using Machine Learning models trained across different Aircraft and Engine types.”
KeepFlying CEO, Sriram Haran
“Our decision to include AI into our Functional Architecture was taken right before the Pandemic started and it was included in our road map together with a 5-year plan to execute it. After understanding the necessity of tools driven by AI in areas such as Scheduling, Planning, Revenue Forecasting (specifically for Airframe and Engines MROs, lessors and Financial Institutions) we took the challenge of inviting specialized strategic partners to deliver a set of solutions that will only improve our digital transformation platform and benefit not only current but also future customers,” stated Seabury Solutions CEO & President, Bijoy Mechery.
SOFTWARE, COMPUTER VISION
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.
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.