StarHub Launches Dynamic Ad Pods for Better Ads – Ciente

StarHub Launches Dynamic Ad Pods for Better Ads – Ciente

StarHub’s forward-thinking approach is a strategic step to maximize the outcome from ads, while making TV time enjoyable again.

Digital advertising has taken a significant leap from traditional advertising, which follows a one-size-fits-all approach. The lackluster promises etched on flashy graphics aren’t as effective today.

As modern consumers grow increasingly informed and aware of the market, they want change. They wish for-

Hyper-personalized experiences that resonate with their personal interests and preferences.

This is where digital advertising made a pivot to programmatic advertising. And it’s fair to say that the domain is still innovating.

In recent developments, we’ve developed Singapore’s first-ever solution that changes ads in real-time during live TV broadcasts.

How is it different?

Most connected TV ads run on demand or before broadcasts. But these were unnecessarily disruptive and repetitive. StarHub sought to do something unique, and revolutionize TV advertising.

In partnership with Hoppr, the Singapore-based company has built dynamic ad pods. These will unlock a great deal of opportunities for advertisers to provide relatively more relevant and intelligent experiences to the viewers without disrupting their live program experiences.

How does it work?

It’ll draw on 175 million hours of viewing data insights through StarHub’s advanced CTV Server-Side Ad Insertion (SSAI) technology. In other words, two neighbouring households watching the same live program will be able to see two different ads based on the household’s interests.

Moreover, Dynamic Break Matching ascertains that the viewing experience is less disruptive and the ads fit in naturally. To ensure this, dynamic ad pods are available in diverse formats, such as pre-roll and mid-roll, to be delivered during high-engagement moments. All while retaining the energy from the entertainment program.  

This is a fascinating feat for digital advertising as it’ll help reduce media waste and improve performance measurement in the long run.

StarHub’s solution isn’t just a tool. It’s an innovative leap for digital ads, one that combines the power of TV storytelling and the precision of digital media to develop a more connected customer journey.

CoreWeave Stock Rises Following AI Venture Fund Announcement

One of the most fascinating aspects of the AI boom is its impact on nearly every sector; some took a hit while others flourished.

Coreweave is an organization that has flourished thanks to AI. Since its inception as Atlantic Crypto in 2017, the organization has found its way into the AI race. Now selling GPU infrastructure tailored to run AI/ML systems.

This does not seem to be sheer luck, as Coreweave’s management has pulled another strategic maneuver: Its AI-venture fund. And the positioning is brilliant-

Early-stage companies get access to funds and computing power on par with Nvidia (something that takes months or years of waiting lists to get into)

But the real kicker is this: after the announcement, Coreweave’s stock increased 9%, which comes after a rocky couple of weeks.

The future of AI might be uncertain or slow for now, but the investments seem to be paying off exactly how investors intended, exponentially.

If Coreweave’s competitor, Nebius’ multi-billion dollar deal with Microsoft, has anything to say, organizations that support AI are looking at a wild and unpredictable future, but one with immense growth and capital potential.

Nebius Announces a Multi-year Deal with Microsoft

Nebius share jumps after the multi-billion-dollar Microsoft deal triggers a 6.6% boost for rival, CoreWeave.

There have been incessant discussions around what AI is capable of. The thirst and will to build more intelligent, faster, and agile models have observably become insatiable.

But little do they realize the well of computing power that each machine learning application and foundational model actually demands.

Across several countries, there are hundreds of data centers with servers that power your AI systems. And the hunger to unlock AI’s unimaginable potential has led to an unquenching demand for more data centers, and ultimately more computing power.

This is what underpins Microsoft’s latest alliance with Nebius, an Amsterdam-based tech firm.

Here are the tidbits.

The company, spun from the Russian Internet giant Yandex, develops GPUs to train AI models. Under this multi-year contract, the objective is to provide cloud computing power to support AI workload.

Following this arrangement, Microsoft will also receive additional cloud computing capacity. And a consistent supply of AI infrastructure to keep its momentum in the AI race.

On the other hand, the rising demand for Gen AI models can also encourage Microsoft to boost its need for compute power. This could easily result in $17.4 billion deal turning into $19.4 billion one.

It remains a future possibility, as the speculations assert.

For now, Wall Street’s cheers for Nebius sent its shares soaring almost 55% to $99.2 on Tuesday. And if the gains hold, it could add over $7.7 billion to the existing $15.3 billion market capitalization.

Where’s the market headed?

According to McKinsey & Company, the situation is about to turn even more dire- by 2030, data centers will potentially require $6.7 billion to keep pace with the demand for computing power. The race to clasp on to as much data center capacity as possible is on.

And it doesn’t show signs of slowing down in the near future.

With the AI boom widespread across the world, and superpowers such as China and the US competing in the race, the demand is only projected to surge.