Explore the potential of Artificial Intelligence
Explore the potential of Artificial Intelligence
Learn how AI can benefit your business, enhance customer experience, and streamline operations. Let’s uncover the transformative power of modern technologies. Read our insights and learn how to prepare for AI implementation in 3 steps.
Assess your AI readiness
Assess your AI readiness
AI solutions have the potential to revolutionise product development, enhance user experiences, and streamline operations while boosting overall performance. According to a Gartner’s poll, 55% of businesses are already in piloting or production mode with GenAI.
Read our articles on how to assess your company’s readiness to implement AI.
Step 01
Is your business AI-ready?
Is your business AI-ready?
AI readiness assessment
AI readiness checklist helps organizations assess their preparedness for AI integration. It is crucial for successful AI adoption and maintaining a competitive edge. For more details, visit the AI readiness assessment checklist.
AI pricing
Explore the various factors influencing the cost of AI projects. Key cost factors include hardware, data preparation, AI development, integration, and ongoing maintenance. The article also discusses the benefits of outsourcing versus in-house development and strategies for managing AI expenses effectively. For more details, visit our blog.
Build a successful AI strategy
Read about our five-step approach to effectively integrate AI into a business. The guide highlights the importance of regular reviews and adaptations to align with technological advancements and evolving business needs. For more details, read full article.
Check if your data is AI ready
Check if your data is AI ready
Our experience shows that the issues connected with imperfect data will prevent you from building a high quality AI-driven product or process. AI solutions fail because of the bad data architecture and the lack of data fluency, as the results they present often turn out to be false, biased, or faulty.
The most common data issues that may stop you from leveraging AI are: poor data quality and its inadequate volume, inconsistent data formats and sources, the absence of data strategy and governance, and challenges with data availability and observability.
Step 02
Overcome your Data obstacles with AI.
Data strategy and data governance
Data strategy and architecture
Make the most of your information assets, apply innovative data solutions and take your organisation to the next level.
Data-driven leadership consulting
In a modern business landscape of fast-paced decision-making and technological advancements, the role of leadership is evolving into a dynamic and data-centric domain.
Data architecture
Data warehouses
In this blog article we examine the key distinctions between traditional and cloud-based alternatives and reveal the top 8 data warehouse solutions leading the industry’s course.
Data architecture
Read how we’ve integrated over 30 systems for one of our clients who can now make informed decisions based on Big Data analysis; our Low-code app saves up to 250 hours of work for department heads.
Reporting
Data visualisation can be a powerful tool and may have a great impact on your business. Here are some key information on how to use it to your advantage.
Data quality and accuracy
Data standardisation
Generative AI is a highly innovative field that enables machine learning algorithms to generate content, providing businesses with a wealth of opportunities to generate content, streamline their processes, reduce costs and enhance their operations. Read our insights on how GenAI and AWS can transform your business.
Data modelling and data cleaning
Data preprocessing enhances data quality, resolves discrepancies, and ensures that the data is correct, consistent, and reliable. Read our blog post to find out more.
Build your AI strategy
Build your AI strategy
An AI strategy defines how AI will be integrated into an organization to align with business goals, enhancing decision-making, risk assessment, productivity, and strategy implementation. To develop a successful AI strategy, you must set clear business and AI objectives, assess data readiness, develop talent, create a scalable and secure AI infrastructure, and enforce ethical AI and governance. The implementation and evolution of an AI strategy involve regular reviews to adapt to new technological advancements, changing business goals, feedback, and collaboration with experts.
Step 03
Implement AI in your business
AI implementation in business
Successful AI integration enhances decision-making, customer experience, and operational efficiency, offering significant benefits like cost savings and risk management. Discover our AI implementation guide and learn about AI strategy, benefits and examples.
AI infrastructure
Learn about the importance of an integrated environment comprising hardware (like GPUs and TPUs) and software to efficiently handle AI and machine learning workloads. The guide emphasizes the strategic importance of AI infrastructure for scalability, flexibility, and the entire AI development lifecycle.
For more details, read our comprehensive guide to building your AI stack.
Generative AI
In this article we discuss the current landscape of generative AI, focusing on its advantages, challenges, ethical issues, and regulatory concerns. AI revolutionizes industries while stressing the need for responsible implementation and adherence to data privacy laws.
How can Future Proccessing help you?
How can Future Proccessing help you?
Get your data
ready for AI
Generative AI
workshop
AI consulting
Read our Case Studies
Read our Case Studies
Implementing an advanced analytics system which collects data from 61,7 mln daily readings
Enhancing the software's functionality by implementing new features and modifications
Consulting on design, optimisation, and functionalities of an ML-based chatbot solution
AI-driven end-to-end service saved weeks of work, enabling over 700 votes for more than 530 NGOs
We work with many technologies
We work with many technologies
