Creating business value with AI & ML
All things tech / AI and ML
Artificial Intelligence (AI) and Machine Learning (ML) have become commodities in today’s world. It is not anymore about who utilizes AI/ML, but who can leverage it faster and better to gain competitive advantage and to create actual value for the business. Those who were early adopters of AI/ML are now losing their first-mover advantage. This is why many companies have started to think about the actual return on AI/ML investments: Has it been worth investing in and what is the true value of it?
Huge potential comes with many challenges
AI/ML has huge potential to transform businesses by reducing costs, managing risks, streamlining operations, accelerating growth, and fueling innovation.
Even though most companies have heard about AI/ML and its potential for greater business success, it is difficult for companies to invest in AI/ML solutions in the most beneficial way. It is common to see AI/ML investments approached from the wrong perspective – based on technological drivers rather than using cases with the highest benefit potential. This kind of approach typically leaves companies wondering if the AI/ML investment actually created any significant value.
Another typical challenge related to AI/ML is the reputational risk regarding the ethics of AI/ML. Hence, companies need to ensure that its AI/ML solution does not unjustly discriminate against customers or users based on, for example gender, ethnicity, or social background.
To make AI/ML serve the business in the most beneficial way requires the ability to see the full potential of AI/ML for business and how to build these holistic solutions. Additionally, companies need adequate understanding of how to build and train the AI/ML algorithms to avoid ethical pitfalls.
“Quality data is the foundation on top of which AI/ML solutions are built. Create a solid foundation for new competitive advantage with the help of data engineering.”
What can we offer?
Instead of making AI/ML investments based on technological drivers, the investments need to be allocated to important use cases that bring the most value for the business. By taking a data-driven approach to identify these use cases, AI/ML turns from a nice-to-have into a value-creating enabler for business growth.
Fusion companies focus on creating business value and profit through tailored AI/ML implementations and data solutions.
Don't know how to approach AI/ML? Our experts can help understand the potential of AI/ML for your business. We bring valuable AI/ML innovations regardless of the current data solution maturity level.
What Our Customers Say?
A leap forward was to create a Data Lake that contains all the essential data from Elisa’s previous, multiple data sources. The Lake makes data available and uniform, thus possible to utilize in building AI solutions that level up customer experience. “We’ve done extensive co-operation with Fusion companies for many years. We have been very pleased with the outcomes of our partnership.”
Sakari Volanen, Head of Partnerships at Elisa
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