In 3 steps to the AI strategy

In C-level magazine, ipt AI expert Dr. Yves Brise explains why Artificial Intelligence (AI) will make the breakthrough this time.

He shows why you cannot do without an AI strategy for your company and how you can achieve one in three steps.

3 reasons that will make AI a strategic factor

AI has been promised several times the breakthrough. But today the decisive factors are there, which were still missing in the 1950s and 1990s.

  • Countries, organizations, companies and venture capitalists invest large sums in AI.
  • The availability of computing power has increased exponentially in recent years. Thus, advanced methods such as deep learning can unfold their full potential.
  • The cloud is not just a delivery model, it is a catalyst for innovation.

«The methods have been known for decades, but in recent years, the success stories from research and industry have come thick and fast. For example, the complex game ‹Go› could be cracked by applying deep learning algorithms to it. This would not have been possible 15 years ago,» explains the AI expert.

In addition, more and more providers are building systems that make AI more accessible. These include companies such as Microsoft, Google, AWS, Alibaba and Huawei.

As a Swiss company, should you rely on AI?

As a Swiss insurance company, a government agency or a small local bank, you might quickly think that AI is only for large corporations, that you yourself are too small. But this is a misunderstanding. «An AI strategy consists of pragmatic and targeted guidelines and measures that are designed to help achieve the goals of the overarching corporate strategy,» as Dr. Yves Brise explains.

«Today, every company should look at AI and develop a strategy for how to address this issue.»
Yves Brise Associate Partner, ipt

3 phases for a successful AI strategy

In order to design and implement a successful AI strategy, three phases must be passed through. Depending on where you stand as a company, the phases must be weighted and designed accordingly

Phase 1: Vision & Alignment

Create a common understanding of terms, strategic potential and level of ambition.

  • What is possible with AI today?
  • Should one strategically rely on AI or perhaps only tactically apply it in specific areas?

Phase 2: Strategy formulation

Examine the specific development areas and create the most effective roadmap possible.

  • How do we develop and operate AI in the existing organization?
  • What is the dependency on the existing IT infrastructure and cloud?
  • How do we measure and recognize the value contribution of AI?
  • How can we as a company manage the issue?

Phase 3: Implementation

Use the most helpful applications to demonstrate the benefits and continue working on the strategic foundations.

  • Gaps identified from the strategy formulation are closed.
  • Data must be efficiently managed and made available.
  • Bring the machine learning models developed by the data scientists into productive operation.
«The big challenge in the implementation phase is to realize a quick value contribution, but at the same time to promote the fundamental development of the strategic platform.»
Yves Brise Associate Partner, ipt

AI will change our economy and society. Do not be put off by the apparent magnitude of the task. You can tackle it with manageable effort and simple procedural models.

And it is definitely worth it, as Dr. Yves Brise notes: «The resulting added value is a clear line and powerful tools for corporate development.»

Read the full article by our AI expert Dr. Yves Brise, published in C-level magazine 3|2019.

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