Harnessing data and AI at the core of your company is a crucial step in building a resilient business.
We’ve already witnessed what AI can do in automation – but it has potential for much more. Today, AI can take organizational connectivity to a new level on an unprecedented scale. This connectivity can unlock new competitive advantages and systemic change in the way businesses are run and how they create and capture value. And ultimately, it can enable a holistic renewal of your business. To reap their benefits, data and AI must be addressed on several levels and from many directions within the organization.
Innovative and data-driven organizations are resilient. They learn fast and live long.
Data and AI have the power to move entire sectors and industries. They belong on the strategic agenda on the C-level – today, not tomorrow.
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Data & AI: Why It’s Time to Stop Talking and Start Doing
A practical guide that helps you move beyond the hype and start your own data & AI journey.
When it comes to embracing AI, business leaders appear to think it’s a case of “Emperor’s New Clothes.” Lots of “oohs and aahs” about its potential but little hard evidence of its real-world benefits to prompt them to take it seriously.
At Futurice, our view is uncompromising: companies that fail to get to grips with AI risk becoming cautionary case studies about the importance of adapting.
The connected company rises along with data and AI
Artificial intelligence is not (just) about automation, but also unprecedented connectivity within organizations. It helps make visible and even shape social networks, and turn them into better performance and innovativeness.
Three steps to extracting business value from AI
Discussion around AI has been dominated by technical and societal perspectives. The commercial side needs to take a bigger role in the conversation.
Six inspirational ways to make money with data
Understanding the commercial potential of data is one thing, but in order to succeed, companies must go beyond the obvious and apply creative thinking to their data commercialization efforts.
AI, machine learning and deep learning explained
Artificial intelligence, machine learning and deep learning are terms often used when describing latest and most exciting software. But what do these terms mean?
Practical guidelines for spotting machine learning use cases
How I learned to stop worrying and love data - a service designer speaks
Staying human-centred in a data economy
Leveraging the power of trust and data in urban mobility
Cleaner energy production requires automated and AI-augmented energy management
What is our strategy, really?
Get in touch with our team
Chief Artificial Intelligence Officer
+358 50 547 0386
Vice President, Helsinki
+358 41 447 5652
Lead Data Scientist
+49 171 914 9006
Data Culture & Strategy Lead
+49 176 110 17763
Head of Business Development, Stockholm
+46 73 250 73 71
Bruno Amaro Almeida
Principal Architect & Technology Advisor
+358 40 674 2784