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If You Are A 21St-Century Business, You Better Be Cloud-ready

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If You Are A 21St-Century Business, You Better Be Cloud-ready

Cloud computing is a new innovative technology that many businesses have widely adopted in recent times. The public and private sectors have begun to use the cloud to shape their business architecture to obtain greater performance at lower costs. According to a study, in 2022, the worldwide public cloud computing industry will be worth $495 billion. Cloud technology is highly secure and allows businesses to increase their productivity. Many small businesses have benefited from cloud computing to take their business to the next level.

Cloud computing was introduced several years ago, but its popularity remains the same amid other rising technologies. There are countless reasons why businesses are driven toward cloud computing since it helps with everything from scaling infrastructure to delivering a web-based application. According to a study, the worldwide cloud applications market was worth $133.6 billion in 2021 and is anticipated to reach $168.6 billion by 2025. Businesses can focus more efforts on expanding their operations by migrating to flexible cloud solutions.

Cloud Computing:

Cloud computing allows businesses to access their apps and services and store their data securely. The advantage of owning a cloud is that the business does not need to worry about maintaining it. The storage size is infinite, and a system with an internet connection is enough. After adopting the cloud, enterprises have started to go with the flow of the continuous deployment model to avail of exciting features currently required for their day-to-day tasks.

Organizations looking to go with best practices can prefer cloud solutions to overcome challenges with less cost.

One of the most popular cloud myths is that companies have to spend a fortune to adopt an efficient cloud strategy. However, this couldn’t be farther from the truth. To get it right, businesses have to make their expectations clear and set realistic goals for their organization.

What are the different deployment models for cloud computing?

The public cloud allows anyone to access devices and services based on their needs. However, public clouds are less secure since anyone can use them. Public clouds offer cloud infrastructure via the internet for individuals and some industry groups. The cloud infrastructure is owned by entities, not consumers, for providing services. The public cloud concept for hosting mainly focuses on benefiting customers and users who make use of the services. It also benefits customers and users with free access to storage and retrieval services. Some of the key benefits of the public cloud are a minimal investment, dynamic scalability, no maintenance, no setup cost, and no infrastructure management required.

The private cloud deployment model is the opposite of the public cloud deployment model. It is appropriate for single users or customers. There is no need for individuals to share their devices with others to access the service. The private cloud is often referred to as an internal cloud, as it provides workers with access to the company’s systems and services. With the help of the IT department, the organization ensures that its cloud platform is secured and protected using powerful firewalls. A private cloud is flexible, and businesses can manage cloud resources efficiently. Some of the key benefits of the private cloud are customization options, better data security and privacy, being easy to control and supporting legacy systems.

After bridging the public and private clouds as software, the hybrid cloud concept evolved. Hybrid clouds take advantage of public cloud cost savings to allow businesses to host their apps safely. Hybrid clouds allow organizations to move data and apps as per their business requirements between different clouds by using two or more cloud deployment models. Some of the key benefits of the hybrid cloud are better security, cost efficiency, flexibility, and manageability. With cloud migration, businesses can migrate their data and apps easily.

Why are businesses driven toward cloud-ready solutions?

Cloud computing has started to rule every industry in the world after its launch in the market. Enterprises are finding better ways to cut down on costs for managing their businesses. Cloud-ready solutions are a one-stop solution that offers better security, reliability, and high-end performance to run businesses smoothly. Every organization can develop better applications with the help of hybrid strategies and give more importance to cloud-ready solutions for migrating these applications. After gaining access to cloud-ready solutions, business operations can now run seamlessly on cloud platforms with the proper network.

Legacy programs, such as locally operated servers developed for static computing environments, can be transformed to fit into the cloud environment, significantly saving resources. If businesses are looking forward to being cloud-ready, they have to accept the change to modify their workflow. With cloud-ready solutions, an organization can transform its traditional apps depending on its business needs. Most companies are willing to adopt the change to empower their apps with better cloud-ready solutions than writing and editing the codes. Cloud-ready solutions outperform their competitors in terms of accessibility and cost-efficiency. Have a look at the benefits offered by cloud-ready solutions:

Cloud-ready solutions benefit businesses by owning and maintaining the onsite infrastructure at a low cost by providing the same functionality.

It ensures enhanced security for cloud service providers and allows businesses to recover their data during a disaster easily.

Cloud-ready solutions enable businesses to access and experience real-time data, which can be quickly accessible and used to improve their overall productivity.

Organizations that deploy cloud-ready solutions can utilize the cloud’s resources based on their business needs.

How did edge computing gain the attention of enterprises?

Edge computing has recently acquired traction across a wide range of businesses, from small to large scale. Edge computing extends the cloud that adds more flexibility to the existing cloud model. It started to evolve with the deployment of IoT devices and 5G technology to compute efficiently, provide better storage, and collect accurate data using analytics. Edge computing helps businesses handle data securely, speeding up the process and delivering the data to people across the globe. Edge computing is accelerated with the help of 5G technology, which will allow for more efficient computing, better storage, and accurate data collection through analytics. Adopting edge computing solutions for businesses will help to reduce costs and process data quickly. There is no way for businesses to experience latency issues, network disturbances, and bandwidth limitations.

Wrapping Up:

The hype for cloud-ready applications is real. Many organizations have shown an interest in transforming their business landscape from on-premise solutions to cloud infrastructure. Cloud innovation is endless and benefits businesses from the lower total cost of ownership, fast adoption of the latest technologies, and continuous migration and upgrades. Cloud-ready apps are the next promising solution for businesses to manage complex IT infrastructure and gain flexibility. Enterprises willing to make their dreams come true with cloud-ready solutions at a low cost can connect with the world’s leading digital transformation consulting company to top the global market.

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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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