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.”
– Brightly
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.
View Our AI and ML Companies
Brightly
Brightly Works crafts next generation data-driven digital, cloud data and IoT solutions for leading Nordic companies and global tech giants. Brightly's multitalented team of software developers and data experts create digital solutions that provide superior user experiences and automate customer service, business and production processes.
Feed
Oslo-based Feed is a digital design and tech company that builds ambitious digital products and brands. The expertise and experience of its close-knit team covers everything from service design, UX and product design to visual design, business strategy and full stack development. Feed strives to empower user-driven digital success by launching products that have a meaningful impact on the world.
Reaktor
Reaktor is a creative technology partner for forward-thinking organizations and societies. From premium software development to brand experiences and digital transformation, their global community of industry-leading experts does it all. Reaktor's clients are pioneers of digitalization in life sciences, education, retail, media, transportation, finance, and defense, to name a few.