Innovating media and advertising with IBM Cloud

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You only have one chance to make a first impression, as the saying goes, so it better be a good one.

How can companies get noticed in today’s fast-paced age of digital media where there’s fierce competition for eyeballs, especially when there may only milliseconds in which to set themselves apart from the abundance of other bits and bytes?

Many businesses turn to companies that help them stand out. Here are some innovative ways marketing and advertising firms are using IBM Cloud to set their clients apart.

Cloud-based video analytics drive actionable insights

video analytics VideoRecon

One of the powerful advantages of video is that it can be used as an incredibly effective and versatile engagement and monitoring tool. The downside is that most enterprises and institutions must devote a huge amount of manpower to monitor and tag those videos with descriptive metadata if they are to extract any actionable insights or information. In addition, turnaround times for traditional manpower watching these videos can be days, weeks or even months, which can limit the effectiveness of actionable insights, since they might be needed on a short timeline.

As a result, most video is left completely untapped and business-impacting insights that could be generated from these videos are left on the enterprise’s “cutting room floor.”

Imagine if you could teach a cognitive service to watch and listen to a video, recognize what was in it and do so in a fraction of the time.

That’s exactly what BlueChasm’s cloud-based video analytics platform, VideoRecon, enables for users. Using cognitive computing technology in the IBM Cloud, it automatically sees, listens and understands video content in a fraction of the actual viewing time needed by a human.

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Cloud-based programmatic video solution is a matchmaker for advertisers and publishers

When you’re browsing a news website such as CNN, you will no doubt run across ads that autoplay on the sidebar or before you can watch a news report.

Not everyone who visits CNN is shown the same ad. Behind the scenes, there is a complex profiling process to target the viewer with the right video.

Advertisers bid for a “good user” — someone who fits their criteria, perhaps who uses a MacBook to search online for vacations, lives in a specific demographic and makes regular online purchases — in a process called real-time bidding. The highest-paying company that matches additional compatibility and verification criteria will win the bid and show the user its ad.

All this happens between the time the user clicks the play button and when they’re presented the ad. This is what’s called “programmatic video advertising.”

Cedato powers digital video transactions with its predictive programmatic video advertising software, which is a technology stack that enables advertisers to deliver video and monetize it across any type of screen in any type of content, be it video content, standard web editorial content, apps or other types of content.

Cedato is among the fastest growing startups in the ad-tech space. The company chose IBM Cloud because of its worldwide data center presence and powerful technology, including multiple bare metal configurations that can be almost instantly provisioned when the order is placed.

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Moodpeek measures mobile reputation with an IBM Cloud PaaS solution

Moodpeek mobile reputation

What if a company’s reputation depended on its mobile applications?

According to Mobile Usage Barometer, in France today, 64 percent of mobile app users believe that app quality impacts brand image. The three most important factors that contribute to selling an app are word of mouth, comments and ratings.

Open, a leading provider of digital and IT services, created “Moodpeek,” a cloud-based data and analytics tool to measure mobile reputation.

Since there is no way to measure word of mouth, Moodpeek focuses on comments and ratings. It’s a unique and innovative way to evaluate, monitor and control the mobile reputation of a brand based on feedback from users.

Reviews in an app store are an inexhaustible source of feedback, which is far more important than any other opinion. App store comments are numerous, rich and varied.

Open’s original project was called “Open Up,” but it simply assessed app reviews to provide static reporting. The company had a bigger vision and wanted to deepen insight and enable access to information through an online dashboard.

To create an updated version of its app, Open developers knew they would need tools and cloud-based data services to support the company’s advanced analytics capabilities. Moodpeek is built with Cloud Foundry runtimes and containers on the IBM Cloud application development platform.

Moodpeek is already monitoring nearly 8,000 apps. It has analyzed approximately 8.2 million comments and close to 19 million ratings on app stores.

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Learn more about IBM Cloud.

Project Manager, Cloud Services: Wins / References, IBM Sales & Distribution, Digital Sales

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