Drive real value from your machine learning investments,
moving past PoC to productionised efficiency.

39% of businesses accelerated their ML projects due to COVID-19.

Businesses are expecting to see a 10X return on their investments.

Lack of in-house skills is the #1 challenge for starting ML projects.

Fraud detection leads the way in the use case race.

The Future of Gen AI

In this free eBook, you’ll learn:

• How Gen AI is being used a force for good in business

• Why Large Language Models (LLMs) help solve today’s highly challenging issues

• Ways to deploy Gen AI responsibly and what safeguards are available

Valuable insight from use cases in Healthcare, Capital Markets, Sports, and Waste & Recycling

DOWNLOAD THE EBOOK
Use Case

Sentiment Analysis

Use Vertex AI to integrate the voice of the customer to drive product innovation, then improve the shopping experience with generative AI.

BENEFITS

  • Tap into social media and reviews to better understand evolving preferences across consumer groups
  • Leverage sentiment analysis to identify customer concerns and respond quickly to new beauty trends and demand for new products. 
Use Case

Content Generation

Google Cloud can take job data, job location and skills information to create a very strong job description.

BENEFITS

  • Save time using Google AI to leverage our ML API which is an inference engine
  • Learn how to build apps for retention and up-skilling to enhance Cloud knowledge
Use Case

Demand Forecasting

Predicting demand is the crux for many organisations; whether that’s retail sales or manufacturing product volumes. Obtaining accurate predictions is a simple way to deliver efficiencies using machine learning.

BENEFITS

  • Increase customer satisfaction/sales and optimise stock
  • Incorporate external factors to better predict demand
  • Build a robust forecasting system which can react quickly

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Use Case

Personalisation & Product Recommendation

Generating tailored product recommendations, offers and experiences for customers is key to maintaining a personalised touch across e-commerce, traditional retail, financial services, and more.

BENEFITS

  • Increase customer satisfaction through personalisation
  • Enhance customer engagement by selling more
  • Improve overall quality of service across your business

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Use Case

Fraud Detection

Fraudsters employ sophisticated tactics to make money from unsuspecting businesses. Machine learning systems must now be modernised to include monitoring, automated retraining and an MLOps framework for automated redeployment.

BENEFITS

  • Enhance fraud detection systems through automation
  • Reduce fraud loss using state of the art algorithms
  • Automatically react to fraudulent behaviour

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Magnifying glass and graphics
Use Case

Image Processing

Applying ML to image processing has become a reality in recent years, whether that’s in medicine, geological surveys, or self-driving vehicles. Google Cloud Vision has further simplified development costs.

BENEFITS

  • Systemise image expertise to make it organisational
  • Scale up image processing capabilities using algorithms
  • Task machines with laborious work instead of humans

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machine learning face recognition
Use Case

Natural Language Processing

Provide solutions with human-level language understanding across case working automation, email handling or smart assistants. Harness machine learning to automatically review text-based applications and make rapid decisions.

BENEFITS

  • Apply analytics to numerical and text-based data
  • Automate tasks and reduce costly human interactions
  • Develop organisational knowledge and expertise

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natural language processing inside cogs

EXPLORE THE INCREDIBLE STORY OF A CYCLING WORLD RECORD – POWERED BY GOOGLE AI

Ride 24, co-sponsored by Appsbroker, saw James MacDonald enter the history books twice, thanks to Appsbroker’s data team and Google Cloud technology.

FIND OUT MORE

4 Steps to Drive Value from Your Machine Learning Investment

Focus

Focus on solving key business challenges.

Follow

Identify ROI opportunities and follow the money.

Align

Align to business operations that are changeable.

Data

Ensure you have a sufficient pool of data.

BOOK A STRATEGY CALL
MLOps – DevOps for Machine Learning


One of the most difficult aspects of machine learning is integrating it with software engineering and building out a CI/CD pipeline for your ML solutions.

At Appsbroker, we have the skills to help you productionise your machine learning – whether that’s taking a Jupyter notebook live or building a scalable and resilient API for low latency inference.

Ethical, Fair and Regulatory Compliant AI


A key challenge when adopting machine learning is ensuring your algorithms are ethical and comply with regulations.

If you haven’t considered how GDPR might affect you, or you want to ensure your algorithms don’t discriminate against certain demographics, or you need to be able to explain your decisions to a regulatory, we can help.

A Lightning Guide to Machine Learning


We’ve seen a huge shift in business priorities in the UK and across the globe. There’s widespread consensus that a handful of key enabling technologies will be the catalyst for the next phase of exponential commercial progression.

Whether you’re looking to deliver efficiencies, specific outcomes or simply unlock the power of choice – centre stage among these technologies is machine learning.

Download the white paper – part 1 of 2

Appsbroker Machine Learning White Paper 3D

Need more time?
Explore our Machine Learning & AI resources.

Meet Our Machine Learning & AI Team

Contact Us
Start your data modernisation journey today.

Fill out the form and we’ll schedule a meeting to discuss your requirements in more detail.