Skip to main content
BI4ALL BI4ALL
  • Expertise
    • Artificial Intelligence
    • Data Strategy & Governance
    • Data Visualisation
    • Low Code & Automation
    • Modern BI & Big Data
    • R&D Software Engineering
    • PMO, BA & UX/ UI Design
  • Knowledge Centre
    • Blog
    • Industry
    • Customer Success
    • Tech Talks
  • About Us
    • Board
    • History
    • Partners
    • Awards
    • Media Centre
  • Careers
  • Contacts
English
GermanPortuguês
Last Page:
    Knowledge Center
  • The role of Artificial Intelligence in Digital Marketing

The role of Artificial Intelligence in Digital Marketing

Página Anterior: Blog
  • Knowledge Center
  • Blog
  • Fabric: nova plataforma de análise de dados
1 Junho 2023

Fabric: nova plataforma de análise de dados

Placeholder Image Alt
  • Knowledge Centre
  • The role of Artificial Intelligence in Digital Marketing
7 March 2024

The role of Artificial Intelligence in Digital Marketing

The role of Artificial Intelligence in Digital Marketing

Key takeways

Adoption of innovative marketing technologies

Process automation and optimisation

Personalisation and improving the customer experience

We all know, that we live in a world of constant uncertainty, where the pace of change is accelerating and the margin of error is getting smaller. And that the pandemic has brought new challenges to organizations, too. Therefore, what is important to think about and reflect (asap) is how we can create more assertive strategies, be more competitive and innovative and achieve faster and smarter decision making. How, in practice, can we anticipate scenarios, and be able to ensure that our organization is prepared for opportunities and challenges?

The adoption of innovative technologies, such as Data Analytics and Artificial Intelligence solutions, represents a huge step for Marketing, and it does not focus only on what the customer wants at the moment, but anticipates their true needs and interests.

From the management and development of segmented content, to voice searches, lead generation or marketing automation, technology brings enormous opportunities to achieve greater knowledge, more intelligence, greater agility and efficiency.

Knowing what the customer wants, how and where they buy, what generates the most revenue, which campaigns have the most impact or which are the most qualified leads are some of the benefits that technological solutions offer, helping to optimize, prioritize and monetize.

According to Microsoft, by 2025, 95% of all customer interactions will take place through channels supported by artificial intelligence technology.

In retrospect, we know that it was these same technological advances that facilitated the evolution of traditional marketing to digital marketing and that gave companies the ability to expand their reach to digital channels, but also brought with them some challenges, namely how to manage, analyze and make the large amount of data available today an asset for the objectives and concrete results of marketing.

Data Analytics and Artificial Intelligence make it possible to automate processes, thus getting marketers to focus a greater focus on strategy, increasingly based on facts and less on assumptions. In addition, they make it possible to anticipate trends and behaviors, optimize marketing nutrition, target the offer, reduce errors and automate processes, which translates into a more impactful and profitable strategy. Using Machine Learning, it is possible to optimize thousands of variables, which allows you to present the right content at the right time.

Not to mention the well-known chatbots that, through Natural Language Processing, help companies to provide faster and more effective customer service, 24/7.

The truth is that generating leads and traffic on digital platforms, improving the ROI associated with the campaigns implemented, and ensuring that the budget is well managed are some of the issues that most worry Marketing Directors, so the use of solutions oriented towards data analysis is essential to remain competitive and better prepared in the context of the decision process.

A deep knowledge of the consumer allows us to adapt the offer, create new products and services, in addition to allowing the development of more segmented campaigns and highly targeted content, which means more sales and an increase in customer satisfaction.

There are countless opportunities that technology offers to Marketing. Innovation exists to facilitate and it is up to us to learn how to make the best use of it!

Artigo de opinião publicado em:

  • Briefing – May, 2022

Autor

Carla Fonseca

Carla Fonseca

Chief Marketing Officer

Share

Suggested Content

Data sovereignty: the strategic asset for businesses Blog

Data sovereignty: the strategic asset for businesses

In 2025, data sovereignty has become the new engine of competitiveness — turning massive volumes of information into innovation, efficiency, and strategic advantage.

Modern Anomaly Detection: Techniques, Challenges, and Ethical Considerations Blog

Modern Anomaly Detection: Techniques, Challenges, and Ethical Considerations

Anomaly Detection identifies unusual data patterns to prevent risks, using machine learning techniques

Optimising Performance in Microsoft Fabric Without Exceeding Capacity Limits Blog

Optimising Performance in Microsoft Fabric Without Exceeding Capacity Limits

Microsoft Fabric performance can be optimised through parallelism limits, scaling, workload scheduling, and monitoring without breaching capacity limits.

Metadata Frameworks in Microsoft Fabric: YAML Deployments (Part 3) Blog

Metadata Frameworks in Microsoft Fabric: YAML Deployments (Part 3)

YAML deployments in Microsoft Fabric use Azure DevOps for validation, environment structure, and pipelines with approvals, ensuring consistency.

Metadata Frameworks in Microsoft Fabric: Logging with Eventhouse (Part 2) Blog

Metadata Frameworks in Microsoft Fabric: Logging with Eventhouse (Part 2)

Logging in Microsoft Fabric with Eventhouse ensures centralised visibility and real-time analysis of pipelines, using KQL for scalable ingestion.

Simplifying Metadata Frameworks in Microsoft Fabric with YAML Blog

Simplifying Metadata Frameworks in Microsoft Fabric with YAML

Simplify metadata-driven frameworks in Microsoft Fabric with YAML to gain scalability, readability, and CI/CD integration.

video title

Lets Start

Got a question? Want to start a new project?
Contact us

Menu

  • Expertise
  • Knowledge Centre
  • About Us
  • Careers
  • Contacts

Newsletter

Keep up to date and drive success with innovation
Newsletter

2025 All rights reserved

Privacy and Data Protection Policy Information Security Policy
URS - ISO 27001
URS - ISO 27701
Cookies Settings

BI4ALL may use cookies to memorise your login data, collect statistics to optimise the functionality of the website and to carry out marketing actions based on your interests.
You can customise the cookies used in .

Cookies options

These cookies are essential to provide services available on our website and to enable you to use certain features on our website. Without these cookies, we cannot provide certain services on our website.

These cookies are used to provide a more personalised experience on our website and to remember the choices you make when using our website.

These cookies are used to recognise visitors when they return to our website. This enables us to personalise the content of the website for you, greet you by name and remember your preferences (for example, your choice of language or region).

These cookies are used to protect the security of our website and your data. This includes cookies that are used to enable you to log into secure areas of our website.

These cookies are used to collect information to analyse traffic on our website and understand how visitors are using our website. For example, these cookies can measure factors such as time spent on the website or pages visited, which will allow us to understand how we can improve our website for users. The information collected through these measurement and performance cookies does not identify any individual visitor.

These cookies are used to deliver advertisements that are more relevant to you and your interests. They are also used to limit the number of times you see an advertisement and to help measure the effectiveness of an advertising campaign. They may be placed by us or by third parties with our permission. They remember that you have visited a website and this information is shared with other organisations, such as advertisers.

Política de Privacidade