Creative Services: How A Collaboration Platform Can Make Your Life Easier

A Challenging Remit

Being the Head of Creative Services isn’t an easy remit. It involves managing a team of people, all of whom have their own ways of creating visual and graphic content. It also involves meeting tight deadlines, which can be tricky on a project that requires a lot of input from different people. And it demands leadership because the buck stops with you in terms of delivering projects to your clients—on time and within budget — that are aligned to corporate goals. 

While juggling all of these challenges, you’re aiming to deliver top quality content, cultivate a strong brand voice through that content, and ensure consistency of brand messaging through digital marketing channels.

Ease of Collaboration

Every project is unique, requires different deliverables and involves the collaboration of your creative team. Some projects may involve the input of creatives who haven’t collaborated with each other before. Each user is used to their own way of working, so it falls to you to ensure the workflow is efficient and problem-free. 

A technology platform that facilitates a seamless process will be your best friend. You can then be confident that creatives can collaborate on their drafts, including large video files, in a shared private cloud space where each version is saved. This allows you to ensure that everyone is adhering to the remit and is ‘on message’. 

Fast Review and Approvals

Once the creative services team has agreed on a close-to-final draft, you’ll need to get feedback from stakeholders, management and clients as quickly as possible. Since some of these may be on the road, they need to be able to share their comments from any device anywhere in the world. Instant commenting — like instant messaging — facilitates real-time feedback. Oh, we need to stamp all comments with timecodes from the video so your team knows exactly what part of the video the feedback refers to. 

All of these features of a digital asset management (DAM) platform ensure your reviews and approvals save lots of time — up to 75% time-saving if you use Overcast HQ.

Search and Ye Shall Find

How much time is lost through searching for a clip or an asset, only to discover that it was in the DAM all along but not tagged? This can significantly delay the delivery of a project and compromise your relationships with clients. A powerful filtering system should also allow you to find your content in other ways: by date, file type, project, keyword, image or phrase. 

On top of these two fab functions, the secret ingredient is AI! Using artificial intelligence, you can search your video clips for words, objects, colours, events, settings, sounds and facial recognition. So now you’ll have no difficulty locating that clip where your top client endorses your services as “sensational”. 

Speed To Market

Pumping out compelling marketing content constantly can also be a challenge, especially since consumers are demanding personalized content. A recent Adobe survey showed it takes brands, on average, 17 hours to create a single piece of short-form content. This rises to 27 hours to create a single piece of long-form content, such as video. The survey concluded that it takes companies, on average, 12 days to take a single piece of content to market! 

A key way to slash that time is to use a DAM that transcodes clips at the touch of a button and publishes it in formats optimized for just about everything — from broadcast quality to Facebook or even Kindle.

Future-proof Your Workflow

Planning for future growth is likely to be part of your role and as you expand, so does your team and your content output. You may already be working with a DAM, but is it suitable for your future needs or are cracks starting to show?

We’re in an era where 4K isn’t unusual and resolutions will continue to improve. This will result in larger and larger file sizes. Not only does your DAM need to be able to store such big files, but it must also be able to transcode and render them automatically. Otherwise, you’ll have long delays and may have to engage an editor or technician to break the deadlock. 

The Brand Champion

As the champion of your brand, you inspire and lead your team. You manage relationships with stakeholders and clients. You spearhead your company’s culture through marketing materials. Why not invest in a DAM that serves your content needs and allows your talent, capability and vision to shine?

Is Your DAM Future-proofed?

DAM for Enterprise

Your business is complicated. It has many different people in many different divisions doing many different things. Unsurprisingly, they all have unique ways of interacting with your products, services, clients, and assets.

A DAM (digital asset management system) provides an effective, streamlined way to manage your digital assets. Many companies begin by using a tool like Dropbox, but then find they need much greater functionality. So they upgrade to a DAM that services the needs of their organisation. 

But is your DAM future-proofed? It goes without saying that it needs to be cloud-based, but are there other elements of your digital asset management system that could be showing signs of needing mouth-to-mouth resuscitation?

Here are three of the key considerations when assessing if your DAM will stand the test of time.

1. Growth Strategy

As your company scales up and your content production increases, your assets will also expand in terms of number and complexity. Now is the time to ask yourself, What is our growth strategy and will our DAM go the distance? 

With upscaling comes a vast increase in the size of your team, perhaps globally. So you need your employees in far-flung places to access assets as effortlessly as those in the office next door.

Also, we’re in the age of ‘big video’. Digital files are swelling in size (4K video) and, as if it wasn’t enough of a challenge to store such big files, a DAM must be able to transcode and render them automatically.

Add to this the need for fast file transfers and you’ve got yourself a whole lot of potential headaches if cracks start to show in your DAM.

2. A Seamless Workflow

Nothing sabotages productivity as much as a fractured workflow. Your DAM is your servant in this regard. It can automate laborious processes, thus freeing up your team’s time for more creative tasks.

Slow review and approvals on digital assets is also a common problem for organisations. Consumers’ voracious appetite for content, particularly video, needs to be satisfied but enterprises are struggling to keep up. If team members give feedback on a collaborative video project using time-stamped annotations and approve it through your DAM, this speeds up the time to market considerably.

3. Artificial Intelligence

While your team are busy working smarter, your DAM should be leveraging its smarts too. Through artificial intelligence (AI), a video DAM will enable you to search your video clips for words, objects, colours, sounds, settings, events and facial recognition. Goodbye and good riddance to the bad old days of trawling through hard drives to find that spectacular shot you remember filming but cannot locate.

The Inside Track

Our CEO Philippe Brodeur would be delighted to share his knowledge on future-proofing a video DAM, so please feel free to email him on info@overcasthq.com or tweet him: @philippebrodeur

AWS To Showcase AI and ML With Overcast At IBC 2019

IBC 2019 is only a few weeks away and we are delighted to be attending as part of the Amazon Partner Network. Yes, that’s right, we’ll be on AWS booth 5.C80 from 13–17 September in Amsterdam. Click here to read an AWS blog post about the technological advances in video creation and distribution they will be showcasing.

Artificial intelligence and machine learning are changing video workflows. Two of the key innovations that we’ll be highlighting with AWS are: 

  • Searching video clips for objects, colours, settings, events, words, sounds and facial recognition;
  • Automating transcription and translation to generate captions, subtitles, and audio in multiple languages for live and on-demand streams.

Why not find out from our CEO Philippe Brodeur at IBC how to make video collaboration effortless? Click here to schedule a meeting.

The Cutting Edge Of Sports Production Technology

SVG Summit

Are you involved in any aspect of sports production, content creation or distribution? If so, why not swing by the SVG Summit 2018 at the New York Hilton Hotel today and tomorrow (10th and 11th December). There’s so much to check out in terms of the latest in digital sports video technology such as augmented reality, machine learning, workflows, digital ad insertion and the impact of 5G.

All Hail The Cloud

As in previous years, the SVG Summit will feature a Cloud and Virtualisation Workshop. This seminar will be full of tips and tricks about cloud-based production and media asset management workflows which are being used by sports-media organisations. It will give insight into how the cloud, virtualisation and SaaS are transforming video production.

This transformation will be discussed by a panel that will include Scott Bounds of Microsoft and Rick Gilpin of Google Cloud. They’ll talk about how the entire video-production ecosystem is undergoing a makeover: from storage and editing to encoding and transcoding and beyond.

Cutting Edge Technologies

Another fascinating panel discussion will explore what’s new for digital sports content creators and distributors. 5G cellular connectivity is on the horizon; AI is putting its stamp on the clipping and enhancing of highlights and social media content; and UHD/HDR streaming has the potential to make a big difference to those live streaming to compatible Smart TVs. Experts will share what needs to happen next.

Video Workflow

Every minute counts when it comes to getting post-produced content out across social media and other digital channels. Your team’s creative vision is challenged by tight timelines. Your business obligations might not match internal resources. So what do you do? A case study at the summit will show how production teams at MLB Network have adopted an agile workflow to get both internal and external stakeholders reviewing media faster from the first version to final delivery.

Keynotes

The summit will also feature keynotes by some of the biggest names in sports TV.

Brad Boim will talk about how heading into the 2018 NFL season, NFL Media upgraded its asset management system to enhance metadata tagging with the ingestion of GSIS data, Next-Gen Stats and Speech-to-Text transcriptions into their MAM. This extra metadata has enabled producers to run deeper searches within the database.

Charlie Ebersol, who has created a new American pro football league, will give a presentation on how video production and distribution technology will play a key role in it.

Fresh off a busy year when NBC Broadcasting/NBC Sports Group broadcast the Super Bowl, the Winter Olympic Games and the FIFA World Cup, its chairman Mark Lazarus will reflect on the successes and challenges of 2018 and examine issues and opportunities facing the live sports production industry.

Fan Engagement

If you’re interested in how to fill stadiums for matches, then don’t miss the panel discussion on how teams in the New York area attract fans to the stands game after game, using tech tools from larger-than-life video displays to mobile gaming.

AR, AI and Machine Learning

Other panel discussions will look at new ways to use Augmented Reality technology, camera tracking and data visualisation to give much more impact to a sports production and whether 1080p HDR sports production workflows are the sweet spot in terms of cost and performance.

There will also be a Sports Content Management Workshop exploring AI versus machine learning. It will tease out how major sports-media organisations are leveraging AI and machine learning for speech-to-text and translation; object and facial recognition; automated personalisation and content discovery.

Trends

The 2018 SVG Summit is also the go-to place for one-on-one conversations, case studies, tech showcases and insights into trends shaping the future of the sports-media business.

Overcast HQ CEO Philippe Brodeur will be at the SVG Summit 2018 and would be delighted to show you our video platform. If you would like to meet up with him and chat about all things video, please tweet him: @PhilippeBrodeur or email philippe@overcasthq.com

Artificial Intelligence and Machine Learning = Faster Video Creation?

Can you really use Artificial Intelligence and Machine Learning to create video content faster?

To be honest, the more I hear and read about Artificial Intelligence and Machine Learning the more I think people are trying to pull the wool over my eyes. I honestly don’t believe most people know what they are talking about or what AI and ML actually are. So I set about setting myself a task to define them and then explain why Overcast is investing so much in them.

One of our advisors Hugh O’Byrne (a former senior IBM head of Digital Sales) started by telling me that everyone has actually got it wrong. What most people are talking about is “augmented” intelligence — i.e. they are talking about machines that can help (not replace) humans in the workplace. Machines might be able to learn and get better at doing manual tasks, but ultimately the work being done still needs a guiding human hand so it is augmented.

Understanding AI and ML

So if we keep that in mind, here is how we define AI: “Artificial Intelligence” is the science of making computers good at doing tasks that were previously done by people.

It’s pretty broad and probably covers what so many people claim as their “AI solution”. So, perhaps what is far more interesting is “Machine Learning”, which is a subset of AI and focuses on the ability of computers to use large sets of data to “learn” about a task and improve the performance of those tasks over time.

If you take these two statements for what they are, it’s actually machine learning that is far more interesting and far more powerful. AI has been talked about pretty much since the beginning of computers — but machine learning has only been possible since the introduction of large data sets that can lead to machines being “trained” or, in fact, “training themselves” according to a set of rules.

With video we are at the early stages. Up until now, very little data existed about a video that was not inputted manually. Sure, you could get technical details like length, file size, codec and things like that, but anything descriptive about the story had to be entered manually. That’s the metadata.

It’s all about business needs

Recent advances in AI and machine learning have enabled all of this to change. We can now extract a considerable amount of “descriptive” data that in turn can be used for a number of different content solutions.

A short list of what data we can extract from a video includes:

  • Voice to text
  • Image recognition
  • Scene recognition
  • Facial recognition
  • Sentiment recognition

This is just a short list of the information that can make it easier to do a number of tasks. Caption creation, search, archiving, metadata enhancement and compliance are just a number of tasks that machines are getting better at doing without the need for human intervention.

Ultimately these advances in AI and Machine Learning should help to solve problems for creatives who waste much of their time on mundane tasks like searching for content, wondering if brand guidelines are being adhered to and even putting captions with the right punctuation on their content. You know, real business needs.

The result: yes, AI and Machine Learning can help make video content faster but it takes time for the machines to learn so it is taking time for the accuracy of these solutions to be able to be deployed at scale.

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