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Tedial is a leading provider of MAM solutions (Media and Content Management) designed to maximize business efficiency and profitability.

How to maximise business objectives using hybrid cloud architecture


Written by Jerome Wauthoz, vice president of products, Tedial

The cloud has had a major impact on broadcast workflows, with media companies moving their infrastructure to the cloud or private data centres in a bid to simplify workflows and reduce costs. Many broadcasters are now looking to a hybrid cloud approach, which leverages a mixed computing storage and services environment that combines on-premises infrastructure (and/or private cloud services) and a public cloud – such as Amazon Web Services (AWS) or Microsoft Azure – with orchestration between these various platforms.

In the IABM’s executive keynote speech at last year’s IBC, the organisation said that over 47 percent of media companies are deploying public cloud services, up from 39 percent in 2018. The question to ask now is: How can your media facility benefit from a hybrid cloud environment?

Maximise storage opportunities, reduce costs and increase value

The hybrid cloud offers broadcasters the ability to meet business objectives quickly while maintaining full control of media archives and costs. It also ensures a low-risk transition into the cloud by moving the operation in line with business needs. Sensitive data and valuable content can be secured on-premises under company control in a safe IT environment with multiple security layers.

Hybrid cloud architecture also reduces the total cost of ownership. CAPEX is lower, as the upfront investment is calculated based on the nominal usage and not for peaks, which allows the broadcaster to keep the investment at the desired level. In 2020, on-premises costs of deep archive management (tape library) will continue to be lower than the public cloud as the download costs from the public cloud are still a key factor when production teams require constant download (either full or partial) from the archive. This is especially true when UHD content is considered.

By using computing storage and services architecture that combines the privacy and security of a private cloud with the scalability of a public cloud, users benefit from orchestration among various platforms and multiple sites.  They can store sensitive data and high-value, high-resolution content on-premises, inside a secure IT environment that’s not accessible outside their facility and fully under the control of their IT team, all the while less critical operations can be deployed and run in the cloud. This provides flexibility, as burst or peak demands in business operations can also be quickly deployed and run in the cloud. This means that media companies pay only for the period of time required by the additional business operations. High-cost services such as storage for archiving can benefit from the ability to tailor operations to the business cost criteria.

Using hybrid cloud architecture also means that optimisation and control of bandwidth: latency is improved, as is the prioritisation of ingest and delivery workflows. Low-res data can be accessed from the public cloud from anywhere in the world, at any time providing the same quality of service for end users thanks to public cloud geographical deployments. Media companies can move business processes to the cloud at their own pace, as their business grows. Their business is future-proofed as cloud technology will evolve faster than the technology used on-premises or in a private data centre.

Also because cloud costs evolve over time, the split between the on-premises versus cloud business operations can be reviewed frequently to keep costs under control.

Hybrid cloud allows the transition of certain processes into the cloud with minimum risk as the workflows can move seamlessly without affecting normal operation. This assists the customer with the change management process.

Another key benefit is the capability to test new ideas and deploy new workflows or new solutions outside of the current primary workflows, without affecting normal operation, using the latest cutting-edge cloud technology and only for the duration of the test.  If the test is successful, then it can be integrated as part of regular operations. If the test is unsuccessful the project is simply discarded, and the facility has only incurred the cost associated with the time and infrastructure used to carry out the test. 

The hybrid cloud allows the integration of updated cloud AI tools for automatic content enrichment. AI tools will improve considerably in the incoming years and executing them from the cloud will guarantee the most up-to-date version is always used.

Cloud is also ideal for content delivery, as many delivery services are currently running in the cloud and customers can securely access content due to the native cloud security mechanisms.

Meeting technology demands now and in the future

To take advantage of hybrid cloud architecture media companies need a dynamic content management solution that transparently manages various tiers across departments, locations or in the cloud. This includes on-premises live storage, nearline storage, deep archive tape libraries or public cloud storage such as AWS S3 or AWS Glacier. This technology should enable media companies to efficiently operate using their chosen current architecture with the capability to evolve as future operational and commercial factors change.

Tedial’s Evolution MAM is built with aSTORM, a dynamic storage management solution that is agnostic to storage tiers (on-premises live storage, nearline storage, deep archive tape libraries or public cloud storage).  aSTORM provides the ‘link’ between various storage and hosting scenarios available today and in the future.

Using logical storage groups and rules defined within each group, the technology seamlessly moves, backs up and restores content when and where required. Live content can be kept on online storage for a period of time depending on its genre.  The content management solution can immediately archive content to tape while storing it online for a certain period of time depending on the logical storage group. News content can be kept online for 48 hours, while live sport, which might need to be kept for editing throughout a whole week, can be kept in online storage for seven days, for example. Similar rules can be set using a public cloud.

Providing advanced security features in addition to standard IT protections, Tedial Evolution also integrates with cloud-based AI technologies. Although workflows can be deployed on-premises or in cloud, non-critical workflows such as automating metadata tagging with AI would typically be deployed in the cloud, while critical workflows would be deployed on-premises.  The advantage of this hybrid cloud integration is that customers keep full control of their critical workflows and operation while benefiting from the latest cutting-edge cloud features, technologies and infrastructures, providing increased value to the production team. 

Using Tedial’s HTML5 web-based Evolution MAM, operators from all departments and external partners can access content from anywhere, anytime.  For example, teams are able to find more content, browse proxies, download or edit files without going through an archive team, who can now fully focus on their primary work of cataloguing and preserving content, significantly improving efficiency and productivity.

In a typical hybrid cloud solution, users should deploy all workflows needed for normal operations on-premises and deploy additional workflows in the cloud for peak operations, and keep low resolution content and metadata in the cloud and high resolution content on-premises on online storage and in a tape library, to avoid high costs related to downloading content from the cloud. High resolution content can be managed by on-premises delivery workflows, which can ensure QoS of delivery is met. Users can also implement delivery workflows in the cloud to maximise performance and efficiency. Using Tedial’s Evolution MAM with aSTORM, media companies can achieve a secure and successful hybrid cloud approach.

Tedial to demonstrate expanded MAM platform at NAB 2020

Tedial, a leading independent MAM technology solutions specialist, has announced plans to launch a complement of significant enhancements to the company’s award-winning MAM platform at NAB. Tedial’s cutting-edge, award-winning SMARTLIVE sports and live events solution has integrated new cloud-based technology for a better viewing experience. HYPER IMF continues to lead the industry with unique features and can now be deployed in numerous configurations, and the company has deployed and supports a field proven HYBRID-CLOUD architectural model.

SMARTLIVE – New Tools Result in Better Storytelling, Action Replays

Fan engagement is sure to increase for broadcasters when they can deliver better, more vivid graphics resulting from the new integration between SMARTLIVE and Singular’s cloud-based technology for live graphic overlays. Graphics can be inserted into the SMARTLIVE auto-generated EDL, reviewed in the player and then burned in when the EDL is flattened. This major development gives broadcasters the capability to enhance storytelling by layering graphics on top of highlights.

In addition, SMARTLIVE can now create sophisticated transitions between EDL segments, such as fade in/fade out, mix and wipes, adding a dynamic element to your highlights.

At NAB SMARTLIVE will be shown with AI Cloud technology that detects replay in LIVE feeds allowing SMARTLIVE to automatically complete a story, action or highlight with action replays.

Tedial HYPER IMF – MAM for real end-to-end IMF can be deployed anywhere

IMF allows broadcasters and content producers to streamline media processing and delivery  procedures through componentised media management, eliminating the need to replicate media for each new version, thus optimising storage and reducing expenses. Continuing their participation in the IMF User Group, Tedial’s HYPER IMF maintains its position as the singular end-to-end IMF workflow adding value to each customer’s workflow with unique and new features including Component-based assets with Multi-resolution MPEG-Dash Streaming and End-to-End IMF Workflows with 3rd Party Systems Integrations. At NAB 2020 the company will highlight the efficient and cost-effective solution’s flexible and field-proven architecture by showing attendees a variety of deployment options including on local premises, in a public or private Cloud with native S3 management, or in a Hybrid Cloud where all the heavy media manipulation can be done on premises and the distribution and activities that require external access can be done in the Cloud.

HYPER IMF goes beyond all other tools with an implementation of Business Rules outside the IMF scope for each customer need, such as Late Binding for IMP Watermarking, employing a title centric view to manage all the myriad of versions, the ability to automatically build packages related to a specific title (UHD, HD, HDR, etc.) or manage the delivery package versions (Supplemental / Complete) based on contractual business retention rules. When used in conjunction with Tedial’s award-winning Version Factory – the world’s only single workflow that automates thousands of OTT and VOD versioning tasks – Tedial can easily support existing and new platforms, delivering content in the correct format with audio tracks and subtitles in the correct language, as well as any additional components required (artwork/trailers etc.), performing all the required transformations with a real and effective implementation on the OPL.

HYBRID-CLOUD – Architecture combines best of both worlds

Tedial will highlight a HYBRID-CLOUD solution architecture based on their innovative aSTORM storage management solution, leveraging a mixed computing storage and services environment that combines the privacy and security of a private Cloud with the scalability of a public Cloud and enhances the orchestration among the various platforms and multiple sites. A HYBRID-CLOUD architecture offers broadcasters the ability to meet business objectives quickly while maintaining full control of media archives and costs and ensuring a low-risk transition into the cloud by moving the operation in-line with the business needs. Sensitive data and valuable content can be secured on-premises under company control in a safe IT environment with multiple security layers. Other benefits include lower CAPEX because the upfront investment is based on nominal usage, higher scalability permitting smooth adaptation to peak demand periods and lower costs, agility to quickly adapt to new business requirements, increased operations flexibility, and improved quality via optimized bandwidth and lower latency.

In addition to the HYBRID -CLOUD model, Tedial’s Evolution is deployed on the Public Cloud (Amazon Web Services (AWS) or Microsoft Azure), on Private Cloud infrastructure and on-premise physical or virtualized systems.

“Tedial continues its leadership role in MAM technology by consistently anticipating and addressing the challenges our customers encounter to compete for viewer’s attention and succeed in our rapidly evolving industry,” commented Emilio L. Zapata, Tedial CEO. “At NAB we are demonstrating our MAM platform with enhancements that will significantly improve the entertainment experience for increased fan engagement, streamline IMF processes for improved efficiency, and we’ll offer storage and production options to drive down costs and improve quality and flexibility.”  

Tedial Launches SMARTLIVE MULTI SPORT Configurations at IBC 2019

Tedial, a leading independent MAM technology solutions specialist, is launching SMARTLIVE MULTI SPORT configurations at IBC 2019. This sophisticated addition to Tedial’s cutting-edge, award-winning sports and live events solution allows users to generate automatic highlights or auto-clipping for ANY SPORT quickly and easily.

At IBC, visitors will see a dramatic increase in the number of highlights that can be produced in a multi-sports environment with SMARTLIVE.  This is a key addition to the list of the solution’s fast-growing capabilities. Totally agnostic to all data feeds, Tedial’s metadata engine makes it simple to add new SPORT configurations to the system as and when required.

In addition, SMARTLIVE and Tedial’s Evolution MAM now includes a new module that allows all types of content to be published to any social network in just one click. Enabled by the system’s capability to create social media campaigns directly inside the MAM, publishing to social platforms has become really easy, quick and efficient.  This will be demonstrated on the stand throughout the show.

Tedial will also demonstrate its technology partnership with Speechmatics. By integrating Speechmatics’ industry-leading Automated Speech Recognition (ASR) technology with SMARTLIVE, operators can seamlessly search for comments made by the commentators during a sporting match or live event. 

Providing operators with faster access to content, Tedial is showcasing its new SMARTLIVE bundled solution that can easily be deployed on top of the customer’s existing production environment. This is key as it provides sports broadcasters with a highly efficient solution that can be up and running very quickly. As well as these new features, Tedial will highlight the financial and operational benefits of operating SMARTLIVE both on premises and in the cloud.

Esther Mesas, CSO/CMO, Tedial says, “We are delighted to announce the new SMARTLIVE MULTI SPORT feature that will continue to assist media companies with further enhancing their story-telling capabilities. As sports rights become ever more expensive and fans expect more insight and more analysis, SMARTLIVE is the most comprehensive, most productive way to create additional content to satisfy consumers and increase revenue opportunities.”

Built on open standards, SMARTLIVE is agnostic to the equipment around it. It can be added to any production infrastructure. Its virtualised software architecture can be implemented on premises, in the cloud, or as a hybrid. As well as generating its own metadata it connects to existing archive asset management systems, using examples from the past as a way to illustrate today’s news.

Machine Learning or AI?


Written by Jerôme Wauthoz, VP Products, Tedial

The industry is buzzing with talk about, and deployments of, AI and machine learning technologies, which are making strides in production environments. But have you thought about the difference between the two?

In the parlance of computer science, machine learning uses statistical techniques to give computer systems the ability to progressively improve the performance of handling a specific task by collecting and analysing data, which always creates improvement without explicit programming. Machine learning is closely related to computational statistics: the basis of prediction through the use of computers. It is sometimes conflated with data mining, where systems are designed to focus on data analysis and is sometimes referred to as unsupervised learning.

Artificial Intelligence

On the other hand, artificial intelligence (AI) is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. AI research is the study of “intelligent agents” or any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term artificial intelligence is applied when a machine mimics cognitive functions that humans associate with other human minds, such as problem solving.

What can be considered AI is changing all the time: as computers become increasingly capable, tasks thought of as requiring intelligence are now often removed from the definition. For example, optical character recognition is today not considered artificial intelligence because it has become routine technology.

In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and better theoretical models. The techniques of AI have become an essential part of the technology industry, helping to solve many challenging problems in computer science, software engineering and operations research.

While we can consider AI to be a blanket term that encompasses many media applications, the reality of our industry is that most of these software applications are not currently truly intelligent and must be taught to carry out their particular function. In a real sense, we are applying machine learning tools to process or manage mundane, repetitive chores that have no intelligence other than the data we as trainers supply.

A clear example is often discussed in our industry: the review and metadata annotation of all the assets stored in a deep archive through years of programming. A software tool assigned this task must “learn” to identify the images, recognising the important from the inconsequential, and must have a clear set of objects to note. Cloud-sourced systems that leverage crowd input can be useful to our modern media applications, such as recognizing a location or a celebrity.

However, a unique library of historical media may have no external reference or crowd-sourced knowledge and therefore must be personally taught to recognise the criteria for evaluation and annotation before it can be a useful tool. As media executives and broadcasters, we must recognise that regardless of what we call this service, it is really machine learning we are implementing and there’s effort needed to train a computer to be a useful tool in our applications.

What’s happening now?

Although many companies are investigating applications and requesting proof of concept demonstrations, not many end users have taken the plunge into the deep waters of machine learning because the applications and return on investment are still unknown. What we are all looking for is the “killer app”; the clever application that increases efficiencies, reduces labour or creates new opportunities for monetising an existing library.

As AI systems evolve, more of these specific applications are becoming apparent, and at Tedial we like to think of them as “clever AI”.

Clever AI

Let’s take a look at some examples of clever AI. Software tools have been used for years to convert speech to text and systems have been applying this technology to annotate frame-accurate proxies with the text-for-media searches. A clever application is to enable the underlying data model to recognise and trigger automated orchestration workflows based on the occurrence of specific key words, typically a specific action in a sporting event, and automatically creates an edited clip of the action or automatically distributes the media to appropriate locations or downstream services.

Many cloud-sourced AI services can be leveraged in clever ways to augment or annotate video and audio, recognising celebrities, locations, music beds etc. These tools can make searches faster and more relevant and reduce risk by recognising and alerting management to license infringement problems and/or managing the details of image release documentation. But these applications don’t provide a clever AI result. The ability to evaluate media and judge its “sentiment” is currently an important machine learning exercise under investigation by many media outlet; the clever AI application is taking that recognised sentiment and using it to replace human-generated recognition and action steps. The clever AI application would be to train a system to recognise players, athletes or fans in the crowd to bring more editorial value to a feed. For example, in live sports, a system could be trained to recognise colourful pictures of fans cheering or an athlete celebrating and automatically add the scene into the event highlights at the right position.

At Tedial, as we build more functionality into our SMARTLIVE live sports event system, we are working to enhance our AI integrations to provide measurable clever AI.

Tedial brings broadcasters measurable financial advantages with AI-powered SMARTLIVE

Tedial, a leading independent MAM technology solutions specialist, is showing a line up at NAB that provides measurable financial advantages and operational efficiencies. The company is showcasing SMARTLIVE, its cutting edge AI powered automated live sports solution; HYPER IMF MAM, the world’s only certified end-to-end IMF workflow, with an enhanced feature-set; an upgraded version of its globally embraced Version Factory automated single workflow for multiple platform delivery; and upgrades to the Evolution aSTORM hybrid content management solution.

SMARTLIVE – AI powered automated live sports solution

Powered by AI, SMARTLIVE is the world’s most comprehensive  workflow solution tailored for sports and live events. The solution leverages its unique metadata engine to automate highlight creation and distribution – including tight integration with digital platforms and social media. SMARTLIVE is now shipping.

SMARTLIVE’s capabilities allow it to: automate the event metadata ingest process; automatically provision a production environment for the production team; manage multi-venue feeds; and automatically generate personalised content of one or multiple games, or even an entire season of highlights; and feed campaigns to social media platforms.

SMARTLIVE provides measurable financial advantages by enabling the same production team to create more content resulting in increased fan engagement and additional revenue. It also permits quicker access to content allowing a shift to more affordable digital models.

Tedial HYPER IMF MAM – New features guarantee operational efficiencies

Tedial’s HYPER IMF, the world’s only certified end-to-end IMF workflow, is at NAB with an enhanced feature- set that includes support for 2018 SMPTE IMF standards, including Apple ProRes wrapped in MXF. Business Cases that apply to IMF processes have been incorporated so content can be efficiently managed and MAM-workflow orchestrations can be easily supported, such as attaching late deliveries of forensic watermarked components to previously distributed media, detecting and managing duplicates, and waiting for master assets to arrive. Assembly of completely new IMF packages is accomplished using low-resolution proxies and a Web-based GUI. Powerful dashboards have been added for real-time monitoring of operations and system wide capacity monitoring. HYPER IMF has a proven agnostic infrastructure; it can be deployed on-premises, in the cloud, and in hybrid infrastructures.

Tedial Version Factory 2019

Tedial’s award-winning Version Factory, the world’s only single workflow that automates thousands of OTT and VOD versioning tasks, is back at NAB as Version Factory 2019. The new version features upgrades that include: managing ‘on-the-fly’ assembly of unique versions, including pre, post and mid-roll insertions; matching contractual distribution requirements for timely deliveries; enabling IMF-compliant low-resolution proxy edits on media and templates so seasons of episodes can be managed with a single configuration.

Users that deploy the Version Factory and HYPER IMF will benefit from support for existing and new platforms, delivery of content in the correct format with audio tracks and subtitles in the correct language, as well as any additional components required (artwork/trailers etc.).

Evolution aSTORM conquers hybrid content management

Evolution aSTORM, Tedial’s scalable, reliable, future-proof and cost-effective content management solution has been upgraded with numerous cost-saving features. aSTORM changes the storage paradigm from the traditional HSM approach to a true multi-tier, multi-site object-based storage environment. It transparently manages various storage tiers across departments and continents! New features at NAB, include: Optimising transfers between sites for reduced transfer costs; and improved tape migration workflows between technologies for increased resource efficiency resulting in lower migration costs. aSTORM also now supports Oracle cloud storage.

How do AI and MAM provide improved live sports production?

SCREEN AFRICA EXCLUSIVE: Everyone is talking about Artificial Intelligence (AI). This disruptive technology has entered an unprecedented stage of development and is imposing itself in our daily lives at a pace that surprises, fascinates and sometimes frightens. AI is a hot topic with inspiring and practical use cases emerging every day.

According to recently published IABM data, AI adoption in broadcast and media is still at an early stage. Only 8 per cent of media technology buyers said they had adopted AI before last year’s IBC; 36 per cent said they were unlikely to adopt it in the next two to three years; and 56 per cent said they were likely to adopt it in the next two to three years.

As we can see the broadcast and media industry is on an adoption curve. However, there is no doubt that AI will change the media landscape while providing enhanced viewing and increased opportunities for monetisation. Vendors need to consider how they add value for their customers and ensure that AI’s not just another similar solution.

With all this AI news swirling around it’s no surprise that this year, the industry buzzword will continue to be “AI.” For media asset management providers AI could be a game changer, in a recent IABM report, MAM was specified as the fourth most important priority for buyers.

The attractiveness of AI for broadcasters is the efficiency of using computers to understand audience demands, the management of data and filtering of content for specific themes, as well as creating more, original and personalised content for increased viewer and fan engagement to reduce production costs and increase monetisation.

AI and machine learning will be leveraged by industry leaders to extend their products. Recent industry news coverage has shown that a series of different applications are on track to be introduced. Many of these will focus on specific applications but most will fall into the categories of increased metadata generation and application, media augmentation and annotation, or machine learning applied to workflow operations to further automation.

The increase of sports rights due to the arrival of new comers to the digital economy such as Amazon, Facebook and Twitter are a new challenge for broadcasters who need to reduce their production costs to maintain their profitability.

So how do media companies add value for their customers and ensure that AI’s not a “me too” solution? The answer is technology investment that efficiently automates common, repetitive tasks. Automation tools with AI will help production teams to produce more content and personalised content that allows media companies to gain more fans, viewer engagement and increased revenues.

Sports production is demanding, it’s about live content and speed.  This is a good example of where AI combined with MAM can help media companies to face today’s challenges.

Assembling sports highlights is a prime example, broadcasters can automatically pre-configure events in the MAM to drastically reduce preparation time and avoid human errors. The question is, how do MAM providers create sophisticated AI options for broadcasters and media companies that enable these efficiencies? An AI powered metadata engine to fully automate in-game production is key.

During the live game, the programme feed is passed through a computer vision AI engine and a speech-to-text AI engine, which provide additional metadata and contextual information about the game to augment media logs.

Combined, these different technologies enable automatic logging of a live event and generation of event logs during the game. This supports Tier2 federations or smaller broadcasters and clubs who do not have funds to buy the service of an external data provider. It also allows companies still manually logging the game to optimise their resources.

AI will also assist in automatic content tagging, which is traditionally a labour heavy and expensive process.  Enhanced MAM Search capability opens the door to more content creation, thereby increasing monetisation opportunities.

Together, these technologies enable automatic highlights creation with the best IN and OUT point calculated by the AI engines. Clips and EDLs are automatically created and automatically published to social networks, efficiently increasing the amount of content created with the same staff.  Tightly integrated with AI tools, an advanced MAM can automatically generate an increased number of highlight clips during or after an event and deliver this advanced storytelling to a very targeted audience increasing the potential for significant growth in fan engagement while reducing production costs.

Fans are requesting more and more personalised content to be consumed anywhere, anytime on any device. Using AI to analyse hit rates on social networks and make suggestions for search engines to provide better results to producers will allow them to create tailored content.  This means more opportunities for fans accessing enriched content on their preferred social platform, increasing engagement and driving more revenues from ads or sponsors.

As sports moves towards increased data in every aspect of the game (players, tracking, game data), AI will enable content to be captured and analysed and will allow enriched data to be automatically added thanks to a powerful data analytics engine.

Finally, AI can be used to increase workflow efficiency by analysing processes and predicting failures within a process. Connected to a Business Process Manager, AI can learn from errors in workflows and improve processes, minimising errors in the future and increasing efficiency.

Properly focused and applied AI helps modern broadcasters effectively reduce production costs while increasing revenue, enabling them to cope with the never-ending increase in sports rights costs and demanding user experience.

AI will also help to improve media workflows and streamline the user experience to offer augmented solutions and greater creative opportunities for viewers who are constantly looking for a richer and immediate experience.

As a leading provider of media and content management solutions built on its multi-award-winning Media IT platform, Tedial is uniquely positioned to answer the needs for smart live production solutions of global media companies and broadcasters.

Written by Jerome Wauthoz,VP products, Tedial

Tedial’s new SMARTLIVE marries AI to MAMs

Tedial, a leading independent MAM technology solutions specialist, is launching SMARTLIVE, a cutting-edge live sport solution and major revolution in sports production at NAB 2018. The unique development marries Artificial Intelligence (AI) to an innovative metadata engine to bring the back office and archives closer to live than ever before. This tight integration supports an increased number of highlights, during or after an event, and allows a specific story to be delivered to a targeted audience via multiple platforms including Social Media, increasing the potential for significant growth in fan engagement. SMARTLIVE is being demonstrated in Booth N 1420.

An Entire Season – Prepared in Advance!

SMARTLIVE simplifies event preparation by capturing team, event and statistical data and automatically building an event inside its metadata engine.  Simultaneously, SMARTLIVE automatically creates the corresponding log sheets, player grids and the video feed capture schedule for the event.  All these preparations are linked and organised in collections, so an entire season of sports events can be prepared automatically in advance. Agnostic to any sports and to any data providers, SMARTLIVE’s powerful metadata engine can be easily configured to create an automatic metadata ingest process and address demanding and complex sport workflows.

SMARTLIVE directly connects content to Artificial Intelligence engines: video and audio recognition can be leveraged to generate locator data and annotate live media proxies across multiple camera or venue inputs. During events, all event data from the PAM is ingested in its native format, automatically augmenting the proxy logs, and the system can be configured to automatically create clips based on actions, keywords or logged occurrences. Once created, these highlights can be automatically published to social media, or passed to workflows that enhance the director’s programme and the broadcast. Automatic highlights can be of a single event, a particular star player, or an entire season!

SMARTLIVE dramatically increases the utility of the MAM GUI interface, bringing the MAM much closer to LIVE production than ever before. It is 100 per cent compatible with PAM providers such as SAM or EVS which makes it the perfect tool to orchestrate all business processes on top of an existing PAM, including the use of historical archives in live production. It can then manage the media life-cycle or media movements between different sites.

Not only does SMARTLIVE bring historical archives into PAM logs live in the format the PAM can immediately use, it also fundamentally reduces production preparation time, and allows Broadcasters, Rights holders, Clubs and Federations to significantly increase the number of highlights created during or after a sport event with less staff thanks to its automatic highlight engine and AI integration. More content published means more revenues.

At NAB, Tedial is showing SMARTLIVE automatic highlight creation, integrations with AI engines, the speech to text integration annotating the incoming live media with technology partner Speechmatics, and the automated publish feature with technology partner TELLYO.

Jerome Wauthoz joins Tedial as vice president, Products

Tedial, a leading independent MAM technology solutions specialist, has named Jerome
Wauthoz vice president, Products, effective immediately. Esther Mesas, CMO/CSO,
made the announcement from headquarters in Malaga, Spain.

As vice president, products, Wauthoz will focus the innovative Tedial development
team on new products and services for the media and entertainment industry, as well
as bring executive level strategic marketing to the organisation.

Wauthoz joins Tedial following more than 22 years at EVS Broadcast Equipment. An
experienced team leader and product manager, he brings with him a deep
understanding of live production workflows and extensive experience analysing
customer needs across global markets. He launched his career at EVS as a software
engineer and subsequently held management-level positions, including R&D manager;
product manager and market solutions manager. He most recently served as vice
president of products, responsible for overseeing the team tasked with developing the
Company’s next solutions.

“Jerome’s background makes him uniquely qualified to assess customer needs in a
live production environment and develop solutions that elevate production values and
provide considerable cost savings,’ said Esther Mesas, Tedial CMO/CSO. “We can’t
think of a more perfect candidate to drive our expanding portfolio that includes the
new Tedial Evolution Live Event Archive solution, a tight integration between the PAM
live production workflows and our MAM system.’

Wauthoz holds a Masters in Engineering degree in Electro-Mechanics from Liege
University, Belgium where he also served as an assistant teacher.

Tedial Version Factory named IABM Game Changer Winner 2016

IABM announced winners of its Game Changer Awards at its annual awards ceremony on 19 April 2016 at the Las Vegas Convention Center. Tedial, independent MAM solutions specialist, announced that its Version Factory won the IABM Game Changer Awards 2016 in the System Automation and Control category. This is the second year running that Tedial has won the Game Changer award picking up the prize in 2015 for its Tedial Evolution™ platform. Version Factory was identified by the initial judging panel as one of the leading products or services to be exhibited at NAB Show 2016, one of three entries to be shortlisted in its category.

Tedial Version Factory was officially launched at NAB 2016, and is the culmination of 15 years of innovations and creative application of industry standards. Version Factory is a single efficient and cost effective workflow that supports millions of file input to output configurations and can be managed from a single operator screen. Designed to interface to content management/rights management/traffic/work order systems for automated operations, the Version Factory stacks chosen media engines (transcoders, quality control, DRM, CDN, etc.), employs SMPTE standardised designs for future proof “N-input to N-output’ operations and provides the maximum flexibility and scalability for OTT/VOD Platforms, Network Operations and media companies focused on managing their Brand across all distribution formats.

The nine category winners including Tedial will be automatically submitted as candidates for IABM’s prestigious Peter Wayne Award, with the winner announced at the IABM Annual International Business Conference and Awards in December 2016.

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