From ‘Star Wars’ to streaming wars: How AIops is fueling the intergalactic streaming battle

The 4th (may be with you) has become the day to celebrate all things “Star Wars”, which is then closely followed by the 5th Revenge. This year, however, the menus could be filled with a whole month of “Star Wars” celebrations, including the May 25th anniversary of the original movie and the May 27 premiere of Disney + ‘s Star Wars: Obi-Wan Canoby. .

Streaming wars are definitely heating up when it comes to non-Star Wars content, and sometimes it can be messy. Actress Scarlett Johansson sued Disney last year, saying the simultaneous release of the Marvel movie “Black Widow” in theaters and on Disney + was a breach of contract. And with the merger of WarnerMedia and Discovery to form the new Warner Bros., change is rife across the industry. Search is just a recent example.

However, as various content providers refine their strategies, the video streaming industry is booming and growing. According to the Motion Picture Association’s annual report, US online streaming subscriptions grew 15% year-on-year to 353.2 million in 2021. That translates to% 40.2 billion in revenue, up 24% from 2020.

What it takes to win streaming wars

There are two main things that can give a bunch of content providers the ammunition they need to win streaming wars: the first and most obvious is the content itself. The phrase “content is king” may be somewhat clich, but these businesses understand that they need to provide the content they really need in order to attract and retain viewers as customers.

Netflix, for example, struck a special deal last year with Sony Pictures Entertainment, which offers huge streaming rights to studio movies for the next five years. Due to the likes of Marvel, Pixar and Star Wars franchises, the aforementioned Disney + has an innate advantage in this vein, each of which is almost certain to make a blockbuster hit every year.

Another key for streaming providers, but one that primarily flies under the radar, is how they provide reliable, smooth and interruption and hassle-free services. The world’s largest content cannot save a service that is chaotic, frequently buffered, or suffering outage on a regular basis. There is no faster way to lose subscribers than to serve a user experience that does not meet today’s high standards.

Returning to the “Star Wars” analogy, IT apps teams in streaming companies are like a rebellious alliance: they use technology creatively to win by ensuring they deliver the best possible experience to their customers. In particular, most of these leaders use artificial intelligence-driven IT operations – AIops – to run digital services without interruption.

How AIops power today’s streaming All-Stars

The fact that AIOPS flies under the radar when it comes to video streaming is by design; The idea is to give users a seamless experience so they don’t have to think or worry about the many moving parts behind the scenes that make it all possible. For end users any disruption can immediately ruin the immersion experience and, in the worst case scenario, prolonged or frequent outages can eventually lead to canceled subscriptions.

So what is the role of AIops in all this? This, of course, can become very fast technical, but at a higher level, the role of AIops is to deploy automation across the service’s tools, allowing teams to automatically detect what and when an event occurs, and then respond. It’s fast so it doesn’t go unnoticed by end users.

Most streaming businesses today rely on AIops platforms using agnostic architecture, which essentially means that technology integrates with a variety of tools and platforms, regardless of which vendors they originate from. It is not uncommon for streaming services to use dozens of different tools in a tandem, meaning that each of them needs to be monitored. With the Agnostic AIops platform, the service can use the tools it already has without having to worry about being locked in with a specific vendor.

AIops consists of three main components:

  • AIops event correlation: With AI / ML-powered event correlation, modern enterprises reduce IT noise by as much as 95%, enabling event detection in real time. These IT apps enable the team to quickly solve problems and focus on what matters.
    The process of event correlation collects, normalizes, and enriches events collected from fragmented tools, and uses AI to correlate that data into functional insights. IT operations teams can detect events in real time, creating them, before proceeding to the outage.
  • Analysis of the root causes: IT apps teams also have to determine the initial symptoms and identify the problems and changes that may cause them. Instead of burning hours on bridge calls, IT can identify the root cause and take quick action with AIoPs-fueled root-cause analysis, which helps visualize event progress, identify changes in services and infrastructure that cause events, and Helps identify potential root causes. Format of event titles.
  • Event automation: AIops helps speed up the creation of trials, ticketing, notifications and war rooms, as well as runbook automation for workflows, giving teams time on once-in-a-lifetime activities, event management helps shave crucial minutes of the lifecycle and drive faster resolution.

All of this combined leads to improved collaboration between IT ops teams, improved cross-team collaboration and visibility, and significantly reduced response time for events. It also helps with root-cause analysis, meaning teams can determine where and why an event occurred in the first place so they can prevent it from happening again.

Hard-core technologists understand that AIops are a key component of maintaining video streaming order (and restoring it when needed). Big movie stars and franchisees may continue to get the most headlines, but today’s streaming leaders understand that the seamless user experience driven by the tools and technology built into the platform will only take them ahead of the competition and help them win. Years to come.

Mohan Campella is Vice President of Product Marketing at BigPanda,


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