Alt Digital Technologies Private Limited

Alt Digital Technologies (Formerly Alt Commerce) has deep expertise in Digital Customer Experience space. The team is into IT business for more than a decade and dedicatedly providing IT solutions to large businesses worldwide. More info visit @ https://www.altdigital.tech/

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AI & Automation In the Era of Platform Engineering

AI is changing what platform engineering looks like in 2026. AI-assisted tools now include the ability to propose pipelines, identify infrastructure misconfigurations that can trigger incidents, and auto-generate Terraform modules from natural language descriptions.

Today, the most useful applications are in developer productivity, such as AI code assistants, automated pull request reviews, and intelligent incident routing. Platform teams can integrate these capabilities into their IDPs and give developers a nice productivity boost, without forcing them to change their workflow.

AI is making platform engineering more efficient by reducing manual effort, improving operational visibility, and accelerating developer workflows. As organizations continue to scale, combining platform engineering with AI-driven automation can help teams improve productivity without increasing complexity. At Alt Digital Technologies, we help businesses implement modern DevOps and platform engineering practices that support long-term growth. Connect with our team to learn more.

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DevOps vs. Platform Engineering vs. SRE: What Is the Difference?

Site reliability engineering (SRE) is another role that gets mixed into this conversation. Let's look at how all three are related:

Component

DevOps

Platform Engineering

SRE

Focus

Integrating development and operations to automate workflows.

Building internal platforms to streamline development and deployment

Applying software engineering to infrastructure and operations problems to create scalable and reliable systems

Output

Faster delivery

Productive developers

Stable, observable systems

Works with...

All engineering teams

Dev teams as customers

On-call and incident response

SRE aims to maintain the reliability of systems. It applies engineering to mitigate operations issues, and it ensures it meets its own service level goals (SLOs), error budgets, and debriefs after incidents. Platform engineering and SRE are very closely related and in some companies, overlap extensively.

However , Technology teams often struggle with deployment bottlenecks, inconsistent workflows, and growing infrastructure complexity. At Alt Digital Technologies, we work alongside businesses to simplify software delivery through DevOps practices, cloud solutions, and scalable engineering platforms. Learn how we can help accelerate your development lifecycle.

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What is DevOps

DevOps is a collection of practices that aims to make the deployment, development, and operations process more streamlined and automated by unifying the Software development ( Dev) and IT operations. 

DevOps helps bring people, resources, and tools together, resulting in substantial business growth by deploying quick software solutions. Thereby, increasing the efficiency of the development cycle.

At Alt Digital Technologies, we focus on creating engineering environments that enable teams to innovate faster without compromising reliability. Whether you are modernizing infrastructure, improving CI/CD processes, or adopting platform engineering practices, our experts help turn strategy into execution. Reach out to discover how we can support your transformation goals.

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Platform Engineering Vs Devops

At some point, every engineering team has been on the brink of adopting DevOps. Developers find that they spend more time configuring pipelines than coding. More weight is put on on-call rotations. Each new service translates to a new set of tools that no one is familiar with.

There emerged a friction that led to the development of platform engineering. Rather than trying to bring each developer up to speed on "DevOps", a dedicated team builds and maintains the internal tooling, which helps the rest of engineering to move quickly without being bogged down.

However, Platform engineering and DevOps are not competing ideas. DevOps gave engineering organizations a philosophy and a set of practices. Platform engineering gives them the infrastructure to apply those practices at scale, without burning out the people responsible for making it work.

Alt Digital Technologies works with seasoned software engineering professionals to design and implement DevOps pipelines, cloud infrastructure, and internal developer platforms that match where your organization actually is, not where a vendor wants to sell you.

Our approach starts with understanding how your teams work today. We look at deployment frequency, developer toil, onboarding time, and incident patterns. From there, we design a roadmap that gets you the most value with the least disruption.

If you are noticing the signs that your DevOps environment is becoming strained, then it's time to have a conversation with the team at Alt Digital Technologies.

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Challenges and Considerations With AI in Adobe Experience Manager

Despite the numerous advantages of AI, it has several challenges to consider:

Too much automation may diminish content quality.

Human control is required to maintain the standards and ensure the tasks are executed correctly.

The accuracy of data is important to the performance of AI.

Thus, it is always preferred to take a balanced approach.

Managing enterprise content can be complex, but the right AEM strategy makes it easier. At Alt Digital Technologies, we assist organizations in streamlining content operations, improving workflows, and delivering better digital experiences through Adobe Experience Manager. Learn how we can help maximize your AEM investment.

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Advantages of AI in Adobe Experience Manager

Faster Content Production

AI saves time and human labor to develop content.

Improved Customer Experience

One-on-one communication can be used to establish a closer relationship with the customers.

Increased efficiency and reduction of cost.

Automation helps save on the size of teams and manual work.

Scalable Marketing Operations

Companies are able to manage additional content and campaigns without additional resources.

At Alt Digital Technologies, we help businesses unlock the full value of Adobe Experience Manager by building scalable content ecosystems that support growth and digital innovation. From implementation to ongoing optimization, we ensure AEM aligns with your business objectives. Explore how our AEM expertise can support your digital transformation journey.

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Applications of AI in Adobe Experience Manager

AI is already being utilised in Adobe Experience Manager by businesses in:

Enhancing web content to be more engaging.

Automating customer journeys

Enhancing the process of SEO with more intelligent content structuring.

Dealing with mass campaigns effectively.

These applications demonstrate that AI is not only a theory, but it is already taking effect.

At Alt Digital Technologies, we partner with businesses to turn Adobe Experience Manager into a powerful platform for content delivery, personalization, and customer engagement. Our team focuses on practical solutions that drive measurable outcomes. Connect with us to discover what's possible with AEM.

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The digital experience management by businesses is rapidly changing. As artificial intelligence increases, brands are not solely using manual ways to produce and provide content. Rather, they are heading to smarter, automated systems.

Adobe Experience Manager (AEM) has already been an influential platform to manage content and provide personalized experiences. Now, with the advent of AI, more so agentic AI, it is becoming more efficient and intelligent.

The concept of AI in Adobe Experience Manager (AEM) is that artificial intelligence is used to enhance the process of creating, managing, and distributing content via digital channels. It helps businesses automate repetitive tasks, understand customer behaviour, and deliver personalized content.

Rather than having to manually control all processes, marketers can use AI to make smarter decisions and improve performance

The more advanced type of AI is the agentic AI, which is able to perform autonomously in order to accomplish a particular objective.

In contrast to traditional AI, which reacts to instructions, agentic AI can:

Plan tasks

Make decisions

Execute actions

Learn from outcomes

This can be simply understood as:

Conventional AI resembles a servant that obeys commands.

AI as an agent is similar to a manager who knows the purpose and manages all of it independently.

At Alt Digital Technologies, our team of seasoned experts assists companies in integrating AI in Adobe Experience Manager to enhance efficiency and provide superior digital experiences.

We are all strategy-to-implementation oriented to assist brands in getting practical with AI to deliver real results.

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How to Implement an Omnichannel Marketing Strategy with Salesforce

Step 1: Understand Customer Journey

First, understand the customer journey across channels to understand how customers engage with your business and identify the touchpoints.

Step 2: Unify Channel Information

Analyze customer data across channels to better understand customer interactions.

Step 3: Personalise Customer Experiences

Personalize customer interactions based on the information in the customer journey.

Step 4: Execute Campaigns with Automation

Leverage Salesforce automation to effectively execute campaigns on different channels.

Step 5: Measure & Optimize

Track key metrics and continue to fine-tune campaigns for better results.

At Alt Digital Technologies, we help businesses create connected omnichannel marketing experiences with Salesforce Marketing Cloud through campaign automation, customer data management, and personalized engagement strategies. Looking to improve customer interactions across channels? Contact us to learn more.

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Omnichannel Marketing with Salesforce Marketing Cloud

There has been a change in the customer's engagement with the brand in marketing. Consumers interact with the brand via various channels, such as social media, email, and websites. The customer wants to connect with the brand across all channels and have a unified experience. To be able to keep up with the customer's strategy, the brands need to follow a new omnichannel marketing strategy. 

Salesforce Marketing Cloud helps brands follow the right omnichannel marketing approach by integrating customer data, automating marketing processes, and customising content. At Alt Digital Technologies, we have specialists to help your business build and execute effective omnichannel campaigns with Salesforce Marketing Cloud. We provide services including data management, automation of marketing campaigns, improving customer engagement, and marketing effectiveness.

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How to Use AI in Salesforce Marketing Cloud for Better Email Campaigns

Step 1: Create a Good Email List

Begin with an empty email list and make sure that it has all possible leads to achieve a higher rate of engagement and accurate AI findings.

Step 2: Segment Your Audience with AI

Divide your audience with AI-powered segmentation tools in Salesforce Marketing Cloud to create more targeted and personalized customer journeys.

Step 3: Customize Email Content.

Prepare individual emails to target individual users. Make relevant emails with AI-driven personalization.

Step 4: Optimize Send Time & Frequency.

Salesforce Marketing Cloud Einstein can help identify the best send times and engagement patterns to improve campaign performance.

Step 5: Analyze & Improve Campaigns

Analyze performance statistics and constantly optimize your campaigns based on AI analysis. At Alt Digital Technologies, we help businesses modernize their email marketing and customer engagement strategies with Salesforce Marketing Cloud and AI-driven automation. Looking to create more impactful digital experiences? Contact our team today.

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Key AI features of Salesforce to use in Email Marketing

Einstein Send Time Optimization.

This feature helps find the best time to send an email to each user. In this way, it contributes to the increase in email open rate.

Einstein Engagement Scoring

It will rank users in terms of their likely behavior to respond to your emails to make sure that you are reaching the right people.

AI-Powered Personalisation

Users can tailor email messages according to their user behaviour. It contributes to improved intercourse with the audience, as well as allows recognizing their taste. 

Content Selection & Recommendations

With deep analysis, AI learns about the user and automatically provides the most appropriate content suggestion to each user to enhance the click-through rate and overall user engagement.

AI-Driven Insights & Analytics

Through AI, one will get fresh and clear information about the campaign. Therefore, assisting marketers to know what is working and what needs to be changed.  At Alt Digital Technologies, we assist businesses in creating more connected and personalized customer journeys through AI-powered Salesforce Marketing Cloud solutions. Our approach focuses on improving efficiency, engagement, and campaign outcomes across digital channels. Connect with us to learn more.

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How Salesforce Marketing Cloud Enables AI in Email Marketing

Salesforce Marketing Cloud comes with built-in AI capabilities, often referred to as Einstein, which help marketers improve email performance.

These tools look at customer data, see how they’re engaging with the emails, and then give suggestions on how to optimize campaigns. AI helps figure out what time is best to send emails and what content to use. It supports making smarter campaigns and ensures your business reaches the right customers.

At Alt Digital Technologies, we focus on helping organizations use Salesforce Marketing Cloud to build more efficient marketing workflows and personalized customer experiences powered by AI insights. From strategy to execution, we work toward measurable business outcomes. Get in touch with us to explore the possibilities.

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AI-Powered Email Marketing With Salesforce Marketing Cloud

Email marketing has undergone significant changes in recent times. There has been a major shift from basic newsletters and bulk campaigns. Today, businesses expect to deliver personalized emails that resonate with their audience. AI has made things easier, with tools like Salesforce Marketing Cloud, marketers can send more targeted and smarter email campaigns. Salesforce Marketing Cloud comes with built-in AI capabilities, often referred to as Einstein, which help marketers improve email performance.

At Alt Digital Technologies, we help businesses make the most of AI in Salesforce Marketing Cloud. From setting up email automation to optimizing campaigns, we focus on practical strategies that deliver results.

Our team eases the process and helps businesses get better engagement and performance through smart email campaigns.

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Problems With the Use of Einstein AI

The Major problems and concerns with the use of Einstein AI are:

It needs quality data to make accurate forecasts.

Without professional assistance, implementation may be complicated.

To ensure that AI capabilities are fully utilized, teams might require training.

At Alt Digital Technologies, we assist organizations in implementing Salesforce solutions that support more connected customer journeys and efficient marketing operations. From strategy to execution, we focus on solutions that create long-term value. Connect with us to learn more.

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Use Cases Of Einstein AI

Email Marketing

Einstein AI can help you figure out what time would work for your email campaigns and what would not! Furthermore, it helps with personalization that can significantly increase email open rate.

Customer Segmentation & Targeting

AI is able to automatically segment audiences by their behavior, demographics, and engagement patterns. This facilitates easier targeting of the audience.

Predictive Lead Scoring

Sales teams can prioritize high-value leads using predictive scoring, increasing conversion rates and sales efficiency.

Paths of Customers

Einstein AI changes interactions in real time based on data and user behavior to create dynamic customer experiences.

At Alt Digital Technologies, we support businesses in transforming customer engagement and marketing processes through Salesforce-driven solutions tailored to their operational goals. Looking to improve digital experiences and marketing performance? Get in touch with our experts.

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Salesforce Einstein AI in the Marketing Cloud

The main capabilities of Marketing Cloud Einstein are:

Anticipatory customer engagement scoring.

Individual email and content suggestions.

Customer journey optimization using AI.

Einstein AI handles campaign execution, segmentation, and targeting automatically. This helps marketers run smarter campaigns with less help from people, which boosts ROI. At Alt Digital Technologies, we help businesses create more intelligent and customer-focused digital experiences using Salesforce solutions and AI-powered insights. Our team focuses on implementation strategies that improve both engagement and performance. Contact us today.