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Cloud Entrepreneurship General Topics and tips Management and Projects

AI Powering Advertising

AI for Advertising or Marketing Content Intelligence

AI Powering Advertising Content Insights

Curse of Bad Decision-Making?

Decision-making is a part of our existence. Every day we need to make decisions that may have good or bad results. Moreover, people have different ways of coming up with their decisions. Some base their decisions on emotions while others apply critical thinking. Interestingly, you can use AI to automate and optimize decision-making.

Bad decisions prevail in the business world. Do you know MySpace.? It was the most popular social networking platform around the year 2000. Today, however, we’re just living in the shadow of its past. Dagogo Altraide explained in his YouTube channel ColdFusion the reasons why MySpace.com failed and declined as once a growing social networking site. Altraide said that MySpace executives made the wrong decisions. This involves ineffective content strategy, bad user experience, and outdated technology.

The case of MySpace perhaps confirms the fact that humans are prone to errors. Even intelligent people tend to make the wrong decisions. For example, advertisers and marketers may commit mistakes in their campaigns. Let’s say those simple errors in calculating ad costs can have the worst consequences. They may end up investing money in ad content that only drain their budget. So, does this mean we’re under the curse of bad decision-making? Is it difficult for us to make the right decisions due to our limitations as human beings? 

AI as a Valuable Solution

Our limited knowledge, skills, and experiences can cause lapses in our judgment. That’s a reality we have to deal with. Yet, we have gifts that enable us to make the right decisions and solve our problems in smart ways. One of them is the capability to create technological advances. This is where AI comes in. AI is a data science discipline that blurs the line between humans and machines. 

With AI, experts build machines that mimic how humans process data and perform tasks. Thus, they create machines that think and function like ordinary humans. Such technologies act on information and function with little or no intervention from humans. This is done using machine learning algorithms, which are sets of procedures and computations used to guide machines on what to do and how to do them. In addition, the machines can learn and improve on their own as they gain new experiences and face different situations. 

What’s the relationship between AI and decision-making? It means we can make the best decisions without being mentally and physically exhausted. AI allows brand owners, marketers, and advertisers to pass data management to AI machines and tools. In particular, they can come up with ideas from information about their ad content. 

AI-Powered Ad Insights

Leading cloud providers like Amazon added AI to some of their services and apps. In fact, it provides AI solutions that help users enhance their ad campaigns. Amazon Web Services offers a service called Amazon Comprehend. This service applies NLP or Natural Language Processing to understand the meanings hidden in texts.  

With Natural Language Processing, AI tools let you know how your ad content affects people. For instance, if you serve ad content on social media, you’ll know what users think and feel about the content. The AI technologies extract information found in posts and comments. They analyze the information to reveal the true meanings of the words used by users. Thus, you’ll see whether or not people on social media are happy with your ad content and the business as a whole.

These AI technologies also enable you to measure user engagement. Thus, you can monitor and assess all important metrics you need about how users are interacting with your ad content. That depends on the specific goals of your campaigns. You’ll determine the exact number of views, likes, mentions, shares, clicks, conversions, sales, and revenues for a certain ad content at any time

Unlocked Customer Behavior

AI technologies allow you to deliver ad content suitable for your audiences. They let you keep track of the complete customer journey. You can discover key information about your customers. Their needs, interests, and preferences are all unlocked. One great thing with AI is that it can be used to make accurate predictions out of previous and current data.

Known as predictive analytics, this AI feature lets you have an idea of how well customers will engage with your ad content. Based on historical data on customer behavior, you’ll find out what possible decisions and actions they’ll make. Let’s say you know that some of them are interested in certain types of ad content. 

Furthermore, they might have visited particular marketing channels or searched for products using certain keywords. As a result, you’ll serve the right ad content to the right customers on the right channels. Other than this, you can personalize your content to suit customers’ needs. Therefore. this increases the chance that people will convert or buy your products.

Intelligent Ad Spending

For obvious reasons, money is a primary consideration in making important business decisions. In other words., if you want to grow your business, you need to reduce your expenses and increase your profits. Let’s go back to the case of MySpace. The company actually tried to save itself from its demise. Along the way, the new shareholders and executives of the company used a new content strategy. They allowed music and news to be published on the social networking site, but that didn’t work. They failed to get traffic back, as Facebook began to attract more users. The budget for the new strategy, therefore, was spent in vain. 

Through AI, you can avoid suffering the same fate as MySpace. AI is used in programmatic ad buying as well. If you run ads on ad platforms, you can bid for ad spaces and contents based on specific factors. These can be the location of prospects, intentions, and personas of buyers. and past product/service purchases. You’ll prevent wasting money while ensuring that you can reach your target audiences. 

Moreover, AI allows you to adjust your marketing budgets and spends depending on performance. In an automated manner, you can increase the amount of money you allocate to ad channels and contents that deliver better results. When the ad content doesn’t hit your engagement, conversion, and sales goals, you can cut down your budget for it.

Making Smarter Decisions on Ad Content Through AI”

AI is an invention that extends humans’ thinking abilities to machines. Indeed, it gives us the opportunity to make the right decisions in our business or personal lives, in spite of our susceptibility to mistakes. Through AI, we can obtain valuable insights into advertising content. We can discover and explore underlying social sentiments, customer behaviors, and spending patterns as we serve ad content on various channels.

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Entrepreneurship General Topics and tips Management and Projects Sotfware & Developers & DevOps

Software Development Lifecycle

What is Software Development Lifecycle?

The “Software Development Life Cycle” improves the accuracy and reliability of each step of the life cycle, providing a strategy for measuring each phase of software development. The SDLC process aims to design software that is of good quality and that satisfies customer needs. The experts should complete the framework within the specified period and the budget. SDLC is a comprehensive schedule that outlines the steps necessary to plan, develop, and manage applications. Moreover, Each stage of the SDLC has its processes and deliverables that feed into the next phase. SDLC is an acronym for Software Development Life Cycle.

Why is SDLC important for Development?

The following are the primary factors why SDLC is critical when designing a software system.

  • Enhances the customer relationships
  • Assists you in reducing project risk and scheduling overhead
  • Serves as a foundation for organizing, arranging, and forecasting projects
  • Establishes a structure for the execution of a standardized collection of tasks and deliverables
  • Serves as a monitoring and control system for projects
  • Also increases the exposure of project preparation among all development process stakeholders
  • Accelerates the growth as well

Phases of Software Development Lifecycle

Phases of Software Development Lifecycle
Phases of Software Development Lifecycle

Initial Phase Planning

Software Development Lifecycle: Planning

This step is used to obtain business prerequisites. This stage is the focal point of activity for project managers and investors. Meaning the stage includes meetings with managers, associates, and customers to settle on requirements such as using the system. How would they use the framework? What detail should be used in the framework? What information should the framework provide? In fact there are general inquiries at the stage of collecting prerequisites.

Finally, we develop a Requirement Specification manual to reference the model’s next step.

The document includes the following information:

  • Detailed Specification of Functional Requirements
  • Specification of business requirements
  • Detailed Specification of Client/Customer Requirements
  • Specifying User Requirements
  • Documentation for the Business Design
  • Business Document

Analysis Phase

The analysis process includes the feasibility review, preliminary preparation, technology selection, and analysis phase.

For instance, System Analyst (SA), Project Manager (PM), and Team Manager are examples of people who work in this sector.

What happens during the analysis phase?

Feasibility study: This is a thorough examination of the conditions to determine whether or not they are all feasible.

Preliminary preparation: Resource planning and time planning are components of this stage.

Technology selection: This section would analyze and also list all the innovations required to complete the project effectively.

Analysis phase: Specifications, such as human capital, hardware, and applications that are complete this project effectively, will be thoroughly examined and outlined here.

Design Process of Software Development

The design phase consists of two main tasks:

i.  LLD (Low-Level Designing) 

ii. HLD (High-Level Designing)

How does the design process work?

The chief engineer will divide the whole project into modules by drawing several diagrams, and then the technical lead will divide each module into submodules (Unified Modelling Language).

Coding Phase

Developers begin building the whole framework during this process by writing code in the programming language of their choice. The coding procedure splits tasks into groups or modules and allocates them to different developers.

During this process, the developer must comply with a set of predefined coding guidelines. Moreover, they will need to use programming resources like compiler, interpreters, debugger to produce and execute the code.

Testing Phase

  • The software tester should collect and review the necessary documents to clarify the requirements thoroughly.
  • If they have some objections to your interpretation of the guidelines, you should produce a review report (RR) detailing your concerns.
  • After receiving clarifications and fully comprehending the criteria, they would use the test case template to write the test cases. They will run the test cases until the build is published.
  • After executions, they would log any flaws discovered in a fault profile document.
  • They would forward the defect profile to the developers and wait for the next build.
  • They will rerun the test cases before the next build is accessible.
  • You will replicate the next stage until the product is faultless if they find any of the faults. You will stop the process before you are sure the material is free from defects.
  • It applies to different testing methodologies.

Delivery and Maintenance Phase: 

Delivery: 

The professional test engineers and deployment engineers, install the program into the client setting, following the guidance’s deployment document.

Maintenance: 

After delivery, it will be classified as a task-based problem if a difficulty arises. Thus the department will assign the associated roles. Roles, processes, and solutions will be specified concerning the problem.

Conclusion:

To summarize, the Software Development Life Cycle, which is used by all of the world’s leading software development firms. It is critical for all involved from the programmer to the project manager. It is important throughout the product’s development phase. Moreover, it illustrates how to create, manage, and replace specific software by defining each phase in the software development process. The life cycle concept contributes to the overall essence of programming and the growth cycle.

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