How do you make Artificial Intelligence work for your organization?
Organizations recognize there are opportunities for Artificial Intelligence. AI budgets are allocated, new departments are set up and new job openings are created for AI specialists. So that organizations can benefit from the data and technologies that are now available. Nowadays, we see many AI strategies and plans, but which hospital, insurance company or school has really benefited from AI?
Turner’s managing partner Jeroen Visscher and innovation expert Frits Korthals Altes take part in the Nederlandse AI Coalitie (NL AIC). This is a public-private partnership to stimulate and align AI activities across The Netherlands. Governments, business, schools, researchers and NGO’s work together. For more information, see: NLAIC.com
AI offers organizations ample opportunities. Many organization allocate budgets, set up new departments and create new job openings for data architects, data scientists, data engineers, data stewards. We see a lot of AI strategies and plans, but what’s lacking are AI initiatives that really add value. AI initiatives that make the difference in the heart of an organization. Why? We see a lot of recurring issues in our assignments and conversations with clients:
1. Problems in the execution of the AI strategy
Does the top of the organization really understand and support the strategy of taking a advantage of the data and technologies available to us? Is the execution coalition complete? Oftentimes we that the one who executes the strategy also needs to explain the added value of AI.
2. Issues in governance and structure
Using AI, organizations are able to make decisions based on more and better data. AI may also change who makes a decision and when decision is taken. What decisions do we want to leave to algoritmes? And what not? Who is responsible for this?
3. Uncertainties for people and culture
AI changes our work. Naturally, this creates uncertainty and sometimes fear. Employees want to know what their roles, tasks responsibilities will be. What will be their added value? And can they trust AI will be put to use in a good, reliable and ethical manner? An open and frank discussion on these aspects is not yet taking place in organizations.
4. Issues in IT and processes
Without data there’s no AI. These data should be sampled be made available an a structural basis. This is more than a technical instruction for the IT department. One needs to look at the processes that use and generate these data. We see many organizations tackling this problem, but it’s not easy.
5. Lack of knowledge
When starting with AI, organizations attract new knowlegde and skills. Data scientists and data engineers provide pivotal new skills. Also management should develop new skills. How else can they asses in what situations AI will be the solution for a problem?
All insights on Artificial Intelligence from our experts.
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