The broadcasting industry has gone through many evolutions since its inception. From linear over-the-air (OTA) to digital & personalized, to standard to ultra high definition, these evolutions were driven by increased demand from viewers who want more choices. The next evolution is happening now, driven by the emergence in cloud computing in a globally connected world. Broadcasters are understanding that the key for long-term success is embracing technical agility while they innovate their business models. Google Cloud technologies can provide a path for continual transformation, empowering broadcasters a multitude of ways to chart their own growth.

As broadcasters evolve their business models and operations for a digital future, evaluating both financial alongside operational benefits will lead to the best outcome. Legacy and siloed media supply chains restrict the ability to deliver content quickly across multiple consumption platforms. By understanding how cloud capabilities can provide cost savings, allow for more efficiency and scale, and open new revenue streams, broadcasters can harness flexible cloud technologies while achieving cost savings and increasing revenue. 

Media workflows in the cloud

Over the last few years we have seen tremendous growth from media companies migrating their supply chains to the cloud. Today, there exists a whole ecosystem of media technologies that are built to take advantage of the cloud. “Does it work on the cloud?” is no longer driving the conversation. Rather, media companies now want to understand how Cloud can integrate with their business and drive better business outcomes. 

Over the last years we have partnered with leading media companies including Grupo Globo, TelevisaUnivision and others to not only migrate their content supply chain to the cloud, but also leverage cloud capabilities to innovate their services to:

1. Increase and streamline content production
2. Distribute personalized content at planet scale
3. Forge deep relationships with their audiences 
4. Identify new monetization opportunities 

Impact of Cloud on Performance & Financials

M&E companies need to be able to provide more content at a quicker pace, with experiences that are seamless and exciting to viewers to retain their attention and dollars. Moving legacy systems and processes to the cloud is an organization-wide commitment, and the journey can pay off financially, while providing M&E companies valuable industry capabilities. With Google Cloud business value engagement framework, we partner to identify where there are opportunities in cost, output, and impact that IT can have. 

Below are some examples of how we have worked with our customers to map organization optimizations  to business drivers

Working Together – How can Google help

Our focus with customers is to help identify and understand the challenges that Media & Entertainment companies have in moving to the cloud, and coming up with the plan and solutions that Google can do to overcome them. Together we commit to understanding your business, both where you are right now in your IT capabilities as well as the progress you want to make to continue providing the best digital capabilities to clients and employees.

As broadcasters move more processes and solutions to the cloud, the exponential effect of harnessing data and AI power will provide incremental business value across all lines of business. Combined, these impacts to a broadcaster allow both operational excellence while optimizing costs as they continue to expand offerings to customers and regions around the world. 

We recognize that every media company’s journey is different and so are expected business outcomes. Google Cloud works closely with customers – partnering every step of the way – to align technology, the media industry, and business outcomes. 

🎧 Prefer to listen? Check out this episode on the Google Cloud Reader podcast

If you’re anything like me, you love reading, but also appreciate that sometimes your eyes need to be doing other things; whether it’s finding your exit off the highway, or keeping your puppy from destroying the couch.

And sometimes the thought of sitting down to read something just feels like it’s going to take valuable multi-tasking time away from my day. I know, I know, multitasking can be frowned upon, but it’s the way I live a good chunk of my life, and it’s working out so far. And while I’m not alone in my multitasking, I’m also not alone in my desire for a non-visual way to get this content, or any content.

*Google Cloud Reader enters the chat*

Google Cloud Reader is a podcast that lets you listen to the Google Cloud Blog posts that aren’t as dependent on visuals. This means they’re articles that are, or are adapted to be, less focused on graphs, or code samples, and instead describe the meaning behind those visual aids. 

It’s an easy, audible way to absorb content around all things new in Cloud, while still being able to make sure Ruthie doesn’t eat my work from home equipment. 

So by now you’re probably thinking “OK, so you started a podcast during the pandemic, even though you definitely seemed like the type to start making sourdough”—and you’re right. My 53 plants agree with you. But rest assured, one can listen to an episode of this podcast *while* creating a macramé plant hanger, or waiting for bread to rise—multitasking, am I right?

We’re a little over 50 episodes/macrame plant hangers in, so you should check it out (Ruth and I would appreciate it).

Some of my personal favorites 

• Beginners Guide to Painless Machine Learning – Learn how to get started with Google Cloud AI tools
• Introducing GKE Autopilot: A Revolution in Managed Kubernetes – Learn more about GKE Autopilot, a revolutionary mode of operations for managed Kubernetes that lets you focus on your software, while GKE Autopilot manages the infrastructure.
• Cook up your own ML recipes with AI Platform – ​​Learn about Mars Wrigley’s new ML-inspired recipe experiment on Google Cloud and how you can get started with your own.
• Recovering Global Wildlife Populations using ML – Review Google’s Wildlife Insight’s ML project and help users create an image classification model for motion-sensor cameras (called camera traps) used to help protect wildlife in an non-invasive way by collecting and tagging species via pictures.

Let me know your favorite episodes, and what other articles you’d like to hear on Twitter @jbrojbrojbro!

No matter why you prefer an audio format, we’ve got you covered; Google Cloud Reader, where we read the tech blog for you, and to you.

Get all the Google Cloud Reader on your favorite podcast platform, including Google Podcasts, Apple Podcasts, and Spotify.

As an enterprise admin, when you choose to use Google Cloud Private Catalog to enable curated, self-serve Google Cloud infrastructure provisioning, you need the ability to manage your organization’s deployments. Today, we’re pleased to announce support for several improvements to Terraform driven deployments through Private Catalog. 

With this new release, you can update Terraform configurations and keep your end users informed about updates. At the same time, Private Catalog users have the ability to view new updates, note version highlights and then update the deployment. This gives you greater control over managing deployments for solutions provisioned through Private Catalog and ensuring compliance with organizational policies and standards.

Let’s take a closer look at the features you’ll find in this release. 

Deployment change management

Terraform solutions use Cloud Storage’s Object Versioning to manage updates to configuration files. With this release, you may update configuration files using multiple approaches.

• Update the solution’s Cloud Storage object with a new configuration version
• Use a different Cloud Storage object that contains a new configuration file

Once you view and apply the changes to the solution in a Private Catalog, end users are immediately able to consume the new version of the deployment configuration.

Additionally, prior to applying any changes, you can evaluate the contents of an update by comparing versions to download and compare the current and latest versions of the configuration and use new version highlights to add a description about the updates.

Ease of consumption

Once Private Catalog detects a change to the deployment configuration, it automatically informs catalog users about the change. On the Solutions page, end users have the ability to:

• Get informed about solutions that have updates
• View version highlights published by the admin
• Apply the new version 

Additionally, with this release, Catalog users can retry existing deployments by modifying deployment parameters.

Reporting improvements

The deployment reporting dashboards for Private Catalog-based deployments now show additional information about the version of a solution deployed. This enables deeper insights into the overall deployment status across all Private Catalog solution assets.

Get started today

These new features are available to all Private Catalog customers. To learn how to use these features, refer to our documentation:

• Create a Terraform configuration in Private Catalog
• Manage and update your Terraform configurations in Private Catalog