Tips and tricks for a successful GenAI strategy

Discover the latest tips and tricks for implementing a successful GenAI strategy, straight from Google’s Data and AI Engineer, Jelena Mijuskovic.

Content Manager

Razan Saleh

Content Manager

Generative AI (GenAI) is a big buzzword today. It is set to have a major impact on all areas of business. As a subset of AI, the technology focuses on creating content, automating tasks and analyzing data and incredible speeds.  

Early adopters are already finding significant value in using Gen AI. However, many businesses today lack a strategic plan for this adoption. They are currently testing out individual use cases and only seeing small pockets of value, missing out on the bigger picture.

To understand how businesses can make the most out of their GenAI strategies, we talked to Jelena Mijuskovic, Cloud Customer Engineer – Data & AI  at Google.

Watch the video or read on to learn how you can develop a successful GenAI strategy by following standard best practices. Get insights on responsible GenAI usage and discover common use cases across various industries.

What is GenAI?

Before we dig too deep into how to implement a successful GenAI strategy, let’s find out what it’s all about.

Generative AI or GenAI is a type of artificial intelligence that can produce various types of content, for example, text, videos, imagers, audio, and synthetic data. It uses data to learn patterns and structures to not only create content but also to resemble human-created content.

According to Google’s executive guide to Generative AI, GenAI applications are powered by foundation models, which are trained on vast amounts of content.

For example, Large Language Models (LLMs) are one type of foundation model, trained on text or language. Other models can be trained on images, video, music, software code, medical information, or cyber security data.

 ChatGPT’s and Google Bard’s training dataset consisted of various sources on the internet, including Wikipedia articles, books, and other publications.

Why businesses need a GenAI strategy

There are several reasons why businesses are increasingly turning to gen AI to enhance their operations and marketing strategies.

One of the main reasons is the ability to deliver personalized customer engagement at scale. With gen AI, businesses can easily generate unique and tailored content for their customers, resulting in higher levels of engagement and conversion rates.

Gen AI can also help businesses streamline their processes and improve efficiency. By automating repetitive or time-consuming tasks, such as content creation, businesses can free up valuable time and resources to focus on more strategic initiatives. This can lead to cost savings and increased productivity in the long run.

Another key benefit of using gen AI is the ability to gain valuable insights and analytics. By analyzing data and trends, businesses can better understand their customers’ preferences and behaviors, allowing them to optimize their marketing efforts and make more informed decisions.

GenAI top common use cases

Here are the top five ways or common use cases of how GenAI can bring significant benefits to your business:

  1. Content generation of text, code, images, or videos using tools like Jasper,, and others.
  2. Data processing: GenAI can process large amounts of content or data to provide insights such as fraud detection and content moderation.
  3. Idea generation: GenAI can generate ideas for campaigns or projects, similar to a thought coach or mentor.
  4. Agents or co-pilots: You can use GenAI as a functional personal assistant for tasks like calendar management and sales support.
  5. Conversational Chatbot: GenAI can serve as a human-like conversational chatbot for customer service, tutoring, therapy, and coaching.

The most common use cases of Gen AI are around content generation, improving customer service through AI-powered chatbots, offering personalized recommendations through AI assistants, and boosting employee productivity by automating repetitive tasks.

Jelena Mijuskovic

Cloud Customer Engineer – Data & AI at Google

GenAI helps businesses stay ahead of the curve and adapt to changing market demands. However, implementing a GenAI strategy can be complex and requires careful planning.

Let’s take a closer look at some of the best practices to consider when implementing a Gen AI strategy.

How to implement a killer GenAI strategy with best practices

To leverage GenAI to its fullest potential, businesses need a strategic approach that aligns efforts across all departments. A solid GenAI Strategy is essential for staying ahead of the curve in today’s competitive business landscape.

But not every business should adopt AI in the same way. Some are ready to enter a new way of building new products; others should be focused on automating repetitive tasks and lowering costs. Your AI journey starts with assessing where you are, and where GenAI can help.

Here are some of the best practices to consider when implementing a GenAI strategy according to Mijuskovic:

1. Identify your AI strategy

Before diving into implementing GenAI, it’s important to have a clear understanding of what you want to achieve with this technology and what problems you’re trying to solve.

Whether it’s to create personalized content for your customers, automate certain processes, or improve efficiency, map out the use cases based on your key priorities, strengths, and pain points.

2. Gather high-quality data

Data is the lifeblood of any GenAI strategy. Make sure to gather relevant data from various sources and analyze it to uncover valuable insights. This will help you train the machine learning foundation models to make informed decisions and tailor the AI initiatives based on the needs of your customers.

3. Train your team

Implementing a GenAI strategy requires a skilled team with expertise in artificial intelligence and data analytics. Make sure to provide ongoing training and development opportunities for your team to stay up-to-date with the latest trends and technologies in AI.

4. Start small

Instead of trying to implement GenAI across all aspects of your business at once, start small and focus on specific use cases where GenAI can make the most impact. This will help you gain experience and build confidence in using the technology before scaling up.

5. Monitor and analyze

Once you have implemented GenAI, it’s important to monitor and analyze its performance continuously based on data-driven insights. Keep track of key metrics and KPIs to see how GenAI is impacting your business and improve as needed to optimize its performance.

6. Uphold security and safety measures

It is crucial to prioritize safety measures and protect sensitive data to prevent unauthorized access and minimize risks associated with AI technology. Safeguarding personal information, ensuring AI systems are reliable, and preventing biases in algorithms are essential steps.

This will help you build trust with customers, comply with regulations, and address ethical and legal concerns related to AI technology.

Start small, you don’t need to build complex AI systems immediately. So start small, experiment and test quickly.

Jelena Mijuskovic

Cloud Customer Engineer – Data & AI at Google

Responsible usage of GenAI

When we are talking about new technology that influences decision-making, day-to-day interactions, and the production of content, brands should hold their usage of AI to a certain ethical standard

Ethical AI is important because we are developing a technology that is meant to replicate human intelligence, and it is increasingly becoming more present in our daily lives.

So, how can we ensure AI is not going to harm users and protect their data?

Google has developed a set of responsible AI principles and guidelines to ensure that AI is used ethically and responsibly. These principles are designed to promote transparency, fairness, safety, and accountability in the development and deployment of AI technologies.

  • Be socially beneficial: Google aims to ensure that its AI technologies are designed to benefit society and improve people’s lives.
  • Avoid creating or reinforcing unfair bias: Google is committed to identifying and mitigating bias in its algorithms and data sets to ensure its technologies do not perpetuate biases or discrimination based on factors such as race, gender, or socioeconomic status.
  • Be built and tested for safety: Ensuring the safety and reliability of its AI systems is one of Google’s top priorities. This includes rigorous testing, monitoring, and evaluation to detect and address any potential risks or vulnerabilities.
  • Be transparent and accountable: Google believes in the importance of transparency and accountability in AI development. This includes providing clear explanations of how AI systems work, as well as mechanisms for handling complaints or concerns about their use.
  • Uphold high standards of scientific excellence: Google is committed to upholding high standards of scientific integrity and excellence in its AI research and development. This includes collaborating with experts and stakeholders to ensure the responsible use of AI technologies.

Responsible usage of AI involves designing and implementing artificial intelligence in a way that respects privacy, data security, and human rights.

So, if you’re considering using GenAI, it’s essential to uphold ethical considerations at every step of development and implementation to ensure a positive impact on your customers and keep their data safe and protected.

Infobip x Google: Building an intelligent future

Looking to the future, GenAI is expected to play a significant role in shaping the tech industry, with more businesses leveraging this technology to drive innovation and improve customer experiences. At the end of the day, we all want to meet our customers’ expectations and engage with them on their terms.

If you’re looking for a technology partner to help kickstart your GenAI strategy, you came to the right place. A good example of how such a partnership can help businesses leverage GenAI technology for the greater good is our partnership with Google.

You can simply combine the power of Google with Infobip’s GenAI solutions to deliver the conversational experience your customers expect.

Infobip has a background in building and enabling chatbots and integration systems. Therefore, we believe that Google Cloud and Infobip together can leverage the potential of our machine learning platform, Vertex AI, to ultimately offer our end users the best possible machine learning systems.

Jelena Mijuskovic

Cloud Customer Engineer – Data & AI at Google

At Infobip we firmly believe that the future of artificial intelligence will be positive, but only if it is used responsibly and as a tool to help humans, rather than as a way of replacing them.

By partnering with us, we will co-create AI solutions to help you extend your product capabilities and kick-start your GenAI strategy through the right technology and channels.

Kick-start your GenAI strategy through Infobip’s Partner Program

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Mar 13th, 2024
8 min read
Content Manager

Razan Saleh

Content Manager