6 Pillars of a Successful AI-Strategy

Machine learning and artificial intelligence, in general, have been on everyone’s lips for some time now. While the topic of AI is in the foreground in the media, most people (especially the management) still don’t know how machine learning is best applied.

Ultimately, machine learning can be described as a synergetic relationship between man and machine. Machine learning in practice requires the application of the scientific method and human communication skills. Successful companies have the analytical infrastructure, know-how, and close collaboration between analysts and business professionals to translate these synergies into ROI.

Companies must define an AI strategy if they want to remain competitive in the future. But establishing an AI strategy alone is not enough. Of course, it must also be reflected in the organizational structure, or it should be able to implement the defined strategy successfully. In the following, some essential cornerstones for a successful AI strategy that your company should fulfill are described.

Es wurde kein Alt-Text für dieses Bild angegeben.

1. Establish an experimental way of thinking in the company

Machine learning is an iterative and exploratory process. Although core algorithms are increasingly becoming mass-produced, each project must be customized based on the business context and data.

As with any good experiment, some hypotheses will initially turn out to be wrong. New data may need to be procured or generated, or the problem description was rewritten based on what is found. As a result, decision-makers and team members alike need to apply a machine learning test-and-learn mentality to establish successful data analysis.

An iterative process that provides maximum flexibility and agility allows for faster evaluation of progress and to determine whether an alternative approach is needed.

2. Put together an interdisciplinary data science team

Investing in machine learning and seeing results, you can not just invest in technology. You also need to make sure you have the right people or specialists to manage the systems and give them the maximum impact.

Equally important is a dynamic team model that involves various experts with business, data, and technical expertise. This includes data experts who can assess the required data and bring it on board. Last but not least, it also requires IT staff capable of deploying and maintaining the technical ecosystems.

Not to be neglected is the employment of co-workers, who can translate between the quants, the mathematicians/statisticians, and the managers. If there is no link, then misunderstandings and misinterpretations are inevitable, and the danger of failure is great.

3. Develop a robust data strategy and ecosystem

Machine learning needs data – usually vast amounts of data. Setting up a process for sufficient identification, procurement and delivery, and access to quality data and information resources is therefore crucial.

To do this, governance guidelines and the data ecosystem must support exploratory environments (often referred to as sandboxing) and production environments. This requires a multi-level approach to align access and flexibility without sacrificing security, privacy, or quality.

The introduction of non-traditional (abundant) data sources, including unstructured text, speech, images, etc., may also require new data management capabilities.

4. High-risk tolerance of the organization

From agreeing to criteria for what is “good enough” to understanding how models must be validated and developed, machine learning often challenges traditional approaches to quality assurance and risk management. Why? At some point, the training or test data must be replaced by productive data. A true validation only results against new data.

5. Engagement for the adaptation of established business processes

Whether it’s automating an existing decision-making point or providing a new product or service offering, machine learning is disruptive. Assessing the potential impact on existing business processes, roles, and functions is the key. This does not mean that you have to design the possible effects before starting. But a quick check can reduce the potential for costly restructurings afterward. Start with the question:

If we answer this question or present this hypothesis, what can we do with the information?

How can this influence existing processes?

Are we ready and able to make the necessary changes?

6. Commitment to new IT practices

After deployment, the iterative modeling and tuning of the machine learning model must continue steadily. The intervals at which updates are required are unpredictable and do not conform to traditional planned deployment patterns. Consequently, the use of machine learning requires fundamentally different QA and delivery models. Maintaining the model is a critical, ongoing process that must be carried out in the same way as the initial model development.

Es wurde kein Alt-Text für dieses Bild angegeben.

Murat Durmus


Original post: https://www.linkedin.com/pulse/6-pillars-successful-ai-strategy-murat-durmus

34 comentários em “6 Pillars of a Successful AI-Strategy

  1. I am the business owner of JustCBD company (justcbdstore.com) and I am currently trying to grow my wholesale side of business. I am hoping someone at targetdomain is able to provide some guidance 🙂 I considered that the most ideal way to do this would be to connect to vape shops and cbd stores. I was really hoping if someone could recommend a trusted site where I can purchase CBD Shop Database I am presently reviewing creativebeartech.com, theeliquidboutique.co.uk and wowitloveithaveit.com. Unsure which one would be the very best solution and would appreciate any support on this. Or would it be simpler for me to scrape my own leads? Ideas?

  2. I am the co-founder of JustCBD company (justcbdstore.com) and I am currently aiming to develop my wholesale side of business. It would be great if someone at targetdomain share some guidance . I considered that the best way to do this would be to connect to vape shops and cbd stores. I was really hoping if anybody at all could recommend a trusted site where I can buy Vape Shop Business Mailing List I am presently reviewing creativebeartech.com, theeliquidboutique.co.uk and wowitloveithaveit.com. Unsure which one would be the most suitable solution and would appreciate any guidance on this. Or would it be simpler for me to scrape my own leads? Suggestions?

  3. I have to thank you for the efforts you’ve put in writing this website. I’m hoping to check out the same high-grade blog posts by you later on as well. In truth, your creative writing abilities has encouraged me to get my own, personal blog now 😉

  4. I’m impressed, I have to admit. Rarely do I encounter a blog that’s both educative and entertaining, and let me tell you, you’ve hit the nail on the head. The problem is an issue that not enough people are speaking intelligently about. I am very happy I stumbled across this during my search for something regarding this.

  5. I blog quite often and I genuinely appreciate your information. This article has truly peaked my interest. I am going to take a note of your blog and keep checking for new information about once per week. I subscribed to your Feed as well.

  6. A fascinating discussion is definitely worth comment. I do think that you should publish more about this subject matter, it may not be a taboo matter but generally people don’t talk about such issues. To the next! Many thanks!!

  7. You’re so awesome! I don’t believe I have read anything like that before. So nice to find somebody with a few original thoughts on this issue. Seriously.. thank you for starting this up. This website is one thing that is needed on the internet, someone with a little originality!

  8. Achieving your fitness goal doesn’t have to require a certified personal trainer or an expensive gym membership, it’s not hard to exercise at home. It is easy to go down a training and fitness rabbit hole, however, when you are looking for the best home exercise equipment to outfit your personal home gym.

  9. Great site you have here.. It’s difficult to find good quality writing like yours nowadays. I honestly appreciate individuals like you! Take care!!

  10. An intriguing discussion is worth comment. I believe that you ought to write more on this issue, it might not be a taboo matter but typically people do not talk about these issues. To the next! Many thanks!!

  11. Can I simply say what a relief to discover somebody who genuinely understands what they’re discussing on the internet. You certainly understand how to bring a problem to light and make it important. A lot more people have to look at this and understand this side of your story. I can’t believe you aren’t more popular since you definitely have the gift.

  12. Hello! I could have sworn I’ve visited your blog before but after browsing through a few of the articles I realized it’s new to me. Anyhow, I’m definitely pleased I discovered it and I’ll be book-marking it and checking back frequently!

  13. May I just say what a comfort to discover someone that actually knows what they are talking about online. You certainly know how to bring a problem to light and make it important. More and more people must check this out and understand this side of the story. I was surprised that you aren’t more popular given that you surely have the gift.

Leave a Reply

Your email address will not be published. Required fields are marked *