APPLICATIONS

Cloud Gaming to Create Strong Opportunities for Telcos in Europe E-gaming Market | Globaldata Plc

Globaldata Plc | June 17, 2022

Cloud Gaming to Create Strong
E-gaming providers are revamping their cloud gaming subscriptions, expanding their gaming portfolio, and making their games available across more platforms. All that is required for cloud gaming is a subscription, a smartphone, TV, or laptop, and an internet connection. Telcos are well positioned to take advantage of the cloud computing market. Telcos can provide the connectivity to end-users to support cloud gaming and the network infrastructure such as data centers for cloud gaming providers.

The Europe E-gaming Market Research Report offered by GlobalData Plc highlights the latest developments among a selection of global e-gaming and entertainment companies. It also explores telco e-gaming and esports value propositions and provides a list detailing examples of telcos’ e-gaming and esports activities and offers in Europe.

Key Europe E-gaming Market Trends
One key trend in the e-gaming and esports market includes increased accessibility of e-gaming with free-to-play gaming models, mobile gaming, and cloud gaming solutions. The free-to-play (F2P) model has accelerated the adoption of video games and microtransactions have changed the economy of games. On-the-go gaming is growing on the back of the availability of high-performance mobile devices, irrespective of the price tag. More powerful devices with extended battery life coupled with 5G speeds paint a gaming future-oriented towards mobile. Furthermore, AR/VR technology is in focus as gamers demand more immersive experiences, blurring the line between reality and fantasy. Cloud gaming and streaming are transforming the gaming market as Netflix did for streaming movies. Metaverse-like games can provide an immersive and interactive gaming experience with a virtual environment where players can interact with each other and customize their spaces

For more insights on Europe E-gaming market trends, download a free report sample

Key Findings in the Europe E-gaming Market
As fundamentally connectivity providers, European telcos can leverage e-gaming services to upsell/cross-sell customers and incentivize service bundling. For example, both SFR and Telekom Slovenije made cloud gaming available on their TV platforms, which further promotes their fixed and TV bundled services.

Telcos can provide the network infrastructure and data center capacity, and edge computing solutions, to host cloud gaming closer to the end-user, lowering latency and improving the gaming experience.

For more insights on the Europe E-gaming market, download a free report sample

Europe E-gaming Market Report Scope
  • Overview of e-gaming at a global level and analysis of the e-gaming value chain and key trends. This section also analyzes the latest developments in the cloud gaming market and provides an overview of a large selection of cloud gaming value propositions from technology companies and gaming providers.
  • Outlines ten telco e-gaming & esports value proposition strategies and provides examples of telcos’ current activity in the e-gaming & esports space.
  • Analyzes the e-gaming & esports value propositions, business models, and strategies of four telecom operators in Europe.
  • A number of key findings and a set of recommendations for e-gaming stakeholders, including telecom service providers are also provided.

Reasons to Buy

  • This Insider Report provides a comprehensive examination of the E-gaming value chain and business models. It helps executives fully understand the ecosystem, market dynamics, and latest developments. It helps telecom decision-makers determine key e-gaming (including cloud gaming) positioning strategies, formulate effective product development plans, and optimize return on investments.
  • Four telco case studies from Europe illustrate the findings of the report, providing insights into different telco e-gaming value propositions in the region, including services, monetization approaches, and partnerships. This will help telecom executives craft adapted e-gaming strategies to unlock new revenue streams.
  • The report discusses concrete opportunities in the e-gaming market, providing several actionable recommendations for e-gaming ecosystem participants, including telecom service providers.

About GlobalData
GlobalData is a leading provider of data, analytics, and insights on the world's largest industries. In an increasingly fast-moving, complex, and uncertain world, it has never been harder for organizations and decision makers to predict and navigate the future. This is why GlobalData's mission is to help our clients to decode the future and profit from faster, more informed decisions. As a leading information services company, thousands of clients rely on GlobalData for trusted, timely, and actionable intelligence. Our solutions are designed to provide a daily edge to professionals within corporations, financial institutions, professional services, and government agencies.

Spotlight

This whitepaper from Light Reading offers a guide to OTT success by examining and debunking the five most common misconceptions, including:OTT content rights are easy to negotiate.OTT’s infrastructure and hardware are no different from IPTV’s.The cloud doesn’t offer enough security for video delivery.

Spotlight

This whitepaper from Light Reading offers a guide to OTT success by examining and debunking the five most common misconceptions, including:OTT content rights are easy to negotiate.OTT’s infrastructure and hardware are no different from IPTV’s.The cloud doesn’t offer enough security for video delivery.

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Agora to Showcase Live Audio and Video Technology for Gaming in the Metaverse at Pocket Gamer Connects in Helsinki

Agora | September 28, 2022

Agora, Inc. a pioneer and leading platform for real-time engagement APIs, announced that it will be exhibiting at Pocket Gamer Connects in Helsinki, Finland on Sept 27th- 28th. Pocket Gamer Connects, held at the Cable Factory, the largest cultural center in Finland, is the leading international conference series for the global games industry bringing together more than 33,000 industry professionals.To showcase the value in real-time audio and video technology, Agora will participate in two speaking sessions. On September 27th at 2:50pm on Track 2, Ali Nhari, Agora's Head of EMEA will join the panel session Know your audience: how to choose between subscription or ad models alongside Kim Grewal from Digital Turbine, John Pryor from ShareIT and Tadgh Kelly from the Mobile Doctor. At 11:00am on Wednesday Sept 28th on Track 2, Ben Weekes, Agora's Senior Architect & Principal Engine will hold a session with the title Real-time Voice & Video in Games and VR. "We are excited to demonstrate how to build a fully immersive gaming experience with features like voice and video chat, live interactive streaming, spatial audio, avatars and face and voice filters. At Agora, we're democratizing the metaverse for developers by providing them with easy-to-embed APIs, expansive SDKs and the most reliable, global low-latency network solution. Building the metaverse means scaling connectivity globally as we continue to meet the demand," -Ali Nhari, Agora's Head of EMEA. About Agora Agora is the leading Real-time Engagement Platform as a Service (RTE PaaS) company. Agora's mission is to make real-time engagement ubiquitous, allowing everyone to interact with anyone, in any application, anytime and anywhere. Agora's platform provides developers with simple, flexible and powerful application programming interfaces, or APIs, to embed real-time video and voice engagement experiences into their applications.

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TECHNOLOGIES, SOLUTIONS, MEDIA AND BROADCASTING

Verbit Launches Human-Powered ASR Captioning Solution for Media & Entertainment

Verbit | October 14, 2022

The Verbit Company, which delivers the world's leading voice AI transcription and captioning solutions, announced the release of a reliable, flexible and highly accurate automatic captioning product for the media industry. Verbit's new superior ASR and hybrid options mark the expansion of the company and its leading technologies into the broadcast, media and entertainment spaces. Verbit first made its commitment to expanding into the media vertical with the acquisition of VITAC, the largest captioning company in North America, one year ago. VITAC now serves as Verbit's media and entertainment division. As the nation's largest provider of captioning, VITAC is uniquely positioned to leverage the experience and precision of its professional captioners and Verbit's proprietary automatic speech recognition (ASR) technology to deliver one of the best hybrid and dynamic automatic captions in the market, said VITAC General Manager Doug Karlovits. Verbit's ASR technology is built on a custom, adaptable and always-trained engine developed by captioning, speech and machine-learning experts. This new product can be adapted to meet the unique and specific needs, demands and expectations of today's broadcasters, networks and content creators across the globe. The new ASR offering was developed in-house with media end users in mind. It is built on an ensemble of smart, collaborative and enriched language technology solutions. This release marks another milestone in Verbit's commitment to provide an ever-growing, evolving suite of captioning products and accessible communication services that meet client needs. What sets this product apart is its media-focused features, ones which exceed industry standard ASR, such as professional data prep by specialists who research and review the content added to the ASR engine before each session starts. Clients also can request a "human co-pilot" for control of the live ASR session in real time. This ability provides intelligent support in corrections, custom caption placement, domain changes and more. The product also comes with the same high-level customer support that is synonymous with the Verbit brand and its companies. This new ASR offering further strengthens Verbit's position as the No. 1 player in the professional transcription and captioning market. The company supports more than 3,000 customers across the legal, media, education, government and corporate sectors. It also bolsters Verbit's positioning as a technology leader in the communications accessibility field. "Verbit is proud to expand its superior AI transcription technologies into the media space through the launch of VITAC's newest product offering – an adapted and hybrid automatic captioning solution designed for the North American broadcast market," -Verbit's Chief Product and Technology Officer Raffi Margaliot. The new ASR solution will be presented at this year's NAB New York show. Broadcasters looking for a new or improved ASR solution are encouraged to connect with our team onsite to learn more. The Verbit Company is comprised of Verbit, VITAC, Automatic Sync Technologies (AST), Take 1, Take Note and US Captioning. About Verbit The Verbit Company serves as an essential partner to 3,000 businesses and institutions. Verbit's voice AI solutions provide its partners with the tools they need to offer engaging and equitable experiences that not only meet accessibility guidelines, but make verbal information searchable and actionable. Verbit has acquired five companies and currently employs the largest professional captioner workforce in the world. The Verbit Company is driving global accessibility forward and has emerged as the leader in the $30B transcription industry. Learn more: https://verbit.ai. About VITAC VITAC is the largest provider of captioning products and services in North America. The company's commitment to communication accessibility is evidenced by its talented captioners, technical expertise, and exceptional client service. Responsible for captioning hundreds of thousands of programming hours each year, its customers include every broadcast company and most cable networks, as well as Fortune 1000 Corporations, educational institutions, and government agencies. VITAC's comprehensive service offerings enable customers to meet requirements as mandated by the Federal Communications Committee (FCC), Ofcom in the UK, the Americans with Disabilities Act (ADA), and Section 508 of the Rehabilitation Act, among others. For more information, visit: https://vitac.com.

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TECHNOLOGIES, MEDIA AND BROADCASTING

AWS Announces General Availability of Amazon EC2 Trn1 Instances Powered by AWS-Designed Trainium Chips

AWS | October 11, 2022

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), announced the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS-designed Trainium chips. Trn1 instances are purpose built for high-performance training of machine learning models in the cloud while offering up to 50% cost-to-train savings over comparable GPU-based instances. Trn1 instances provide the fastest time to train popular machine learning models on AWS, enabling customers to reduce training times, rapidly iterate on models to improve accuracy, and increase productivity for workloads like natural language processing, speech and image recognition, semantic search, recommendation engines, fraud detection, and forecasting. There are no minimum commitments or upfront fees to use Trn1 instances, and customers pay only for the amount of compute used. To get started with Trn1 instances, visit aws.amazon.com/ec2/instance-types/trn1.ore customers are building, training, and deploying machine learning models to power applications that have the potential to reinvent their businesses and customer experiences. These machine learning models are becoming increasingly complex and consume ever-growing amounts of training data to help improve accuracy. As a result, customers must scale their models across thousands of accelerators, which makes them more expensive to train. This directly impacts the ability of research and development teams to experiment and train different models, which limits how quickly customers are able to bring their innovations to market. AWS already provides the broadest and deepest choice of compute offerings featuring hardware accelerators for machine learning, including Inf1 instances with AWS-designed Inferentia chips, G5 instances, P4d instances, and DL1 instances. But even with the fastest accelerated instances available today, training more complex machine learning models can still be prohibitively expensive and time consuming. New Trn1 instances powered by AWS Trainium chips offer the best price performance and the fastest machine learning model training on AWS, providing up to 50% lower cost to train deep learning models compared to the latest GPU-based P4d instances. AWS Neuron, the software development kit (SDK) for Trn1 instances, enables customers to get started with minimal code changes and is integrated into popular frameworks for machine learning like PyTorch and TensorFlow. Trn1 instances feature up to 16 AWS Trainium accelerators that are purpose built for deploying deep learning models. Trn1 instances are the first Amazon EC2 instance to offer up to 800 Gbps of networking bandwidth (lower latency and 2x faster than the latest EC2 GPU-based instances) using the second generation of AWS’s Elastic Fabric Adapter (EFA) network interface to improve scaling efficiency. Trn1 instances also use NeuronLink, a high-speed, intra-instance interconnect, for faster training. Customers deploy Trn1 instances in Amazon EC2 UltraClusters consisting of tens of thousands of Trainium accelerators to rapidly train even the most complex deep learning models with trillions of parameters. With EC2 UltraClusters, customers will be able to scale the training of machine learning models with up to 30,000 Trainium accelerators interconnected with EFA petabit-scale networking, which gives customers on-demand access to supercomputing-class performance to cut training time from months to days. Each Trn1 instance supports up to 8 TB of local NVMe SSD storage for fast access to large datasets. AWS Trainium supports a wide range of data types (FP32, TF32, BF16, FP16, and configurable FP8) and stochastic rounding, a way of rounding probabilistically that enables high performance and higher accuracy as compared to legacy rounding modes often used in deep learning training. AWS Trainium also supports dynamic tensor shapes and custom operators to deliver a flexible infrastructure designed to evolve with customers' training needs. “Over the years we have seen machine learning go from a niche technology used by the largest enterprises to a core part of many of our customers' businesses, and we expect machine learning training will rapidly make up a large portion of their compute needs, Building on the success of AWS Inferentia, our high-performance machine learning chip, AWS Trainium is our second-generation machine learning chip purpose built for high-performance training. Trn1 instances powered by AWS Trainium will help our customers reduce their training time from months to days, while being more cost efficient.” -David Brown, vice president of Amazon EC2 at AWS Trn1 instances are built on the AWS Nitro System, a collection of AWS-designed hardware and software innovations that streamline the delivery of isolated multi-tenancy, private networking, and fast local storage. The AWS Nitro System offloads the CPU virtualization, storage, and networking functions to dedicated hardware and software, delivering performance that is nearly indistinguishable from bare metal. Trn1 instances will be available via additional AWS services including Amazon SageMaker, Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), and AWS Batch. Trn1 instances are available for purchase as On-Demand Instances, with Savings Plans, as Reserved Instances, or as Spot Instances. Trn1 instances are available today in US East (N. Virginia) and US West (Oregon), with availability in additional AWS Regions coming soon. For more information on Trn1 instances, visit aws.amazon.com/blogs/aws/amazon-ec2-trn1-instances-for-high-performance-model-training-are-now-available. Amazon’s product search engine indexes billions of products, serves billions of customer queries daily, and is one of the most heavily used services in the world. “We are training large language models that are multi-modal, multilingual, multi-locale, pre-trained on multiple tasks, and span multiple entities (products, queries, brands, reviews, etc.) to improve the customer shopping experience,” said Trishul Chilimbi, senior principal scientist at Amazon Search. “Amazon EC2 Trn1 instances provide a more sustainable way to train large language models by delivering the best performance/watt compared to other accelerated machine learning solutions and offers us high performance at the lowest cost. We plan to explore the new configurable FP8 datatype and hardware accelerated stochastic rounding to further increase our training efficiency and development velocity. PyTorch is an open source machine learning framework that accelerates the path from research prototyping to production deployment. At PyTorch, we want to accelerate taking machine learning from research prototyping to production ready for customers. We have collaborated extensively with AWS to provide native PyTorch support for new AWS Trainium-powered Trn1 instances. Developers building PyTorch models can start training on Trn1 instances with minimal code changes,” said Geeta Chauhan, Applied AI, engineering manager at PyTorch. “Additionally, we have worked with the OpenXLA community to enable PyTorch Distributed libraries for easy model migration from GPU-based instances to Trn1 instances. We are excited about the innovation that Trn1 instances bring to the PyTorch community, including more efficient data types, dynamic shapes, custom operators, hardware-optimized stochastic rounding, and eager debug mode. All these capabilities make Trn1 well suited for wide adoption by PyTorch developers, and we look forward to future joint contributions to PyTorch to further optimize training performance. Helixon builds next-generation artificial intelligence (AI) solutions to protein-based therapeutics, developing AI tools that empower scientists to decipher protein function and interaction, interrogate large-scale genomic datasets for target identification, and design therapeutics such as antibodies and cell therapies. “Today, we use training distribution libraries like Fully Sharded Data Parallel to parallelize model training over many GPU-based servers, but this still takes us weeks to train a single model, We are excited to utilize Amazon EC2 Trn1 instances featuring the highest networking bandwidth available on AWS to improve the performance of our distributed training jobs and reduce our model training times, while also reducing our training costs.” -Jian Peng, CEO at Helixon. Money Forward, Inc. serves businesses and individuals with an open and fair financial platform. “We launched a large-scale AI chatbot service on the Amazon EC2 Inf1 instances and reduced our inference latency by 97% over comparable GPU-based instances while also reducing costs. As we keep fine-tuning tailored natural language processing models periodically, reducing model training times and costs is also important,” said Takuya Nakade, CTO at Money Forward. “Based on our experience from successful migration of inference workload on Inf1 instances and our initial work on AWS Trainium-based EC2 Trn1 instances, we expect Trn1 instances will provide additional value in improving end-to-end machine learning performance and cost. Magic is an integrated product and research company developing AI that feels like a colleague to make the world more productive. “Training large autoregressive transformer-based models is an essential component of our work. AWS Trainium-powered Trn1 instances are designed specifically for these workloads, offering near-infinite scalability, fast inter-node networking, and advanced support for 16-bit and 8-bit data types,” said Eric Steinberger, co-founder and CEO at Magic. “Trn1 instances will help us train large models faster, at a lower cost. We are particularly excited about the native support for BF16 stochastic rounding in Trainium, increasing performance while numerical accuracy indistinguishable from full precision.” 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 87 Availability Zones within 27 geographic regions, with announced plans for 21 more Availability Zones and seven more AWS Regions in Australia, Canada, India, Israel, New Zealand, Spain, and Switzerland. 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. To learn more about AWS, visit aws.amazon.com. About Amazon 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. For more information, visit amazon.com/about and follow @AmazonNews.

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