Analysis

DeepL Test – The artificial intelligence arms race is undoubtedly in full swing.

Analysis

DeepL Test – The artificial intelligence arms race is undoubtedly in full swing.



Nearly all leading companies in the consumer durables, technology, and consumer durables sectors have been tasked with successfully developing and implementing AI-related tools and are being challenged to do so faster than their competitors. There is no doubt that an arms race is underway around AI.

Despite the rapid advances in AI-related technologies and the speed with which teams are implementing them, there are many unknowns. These range from operational issues (“Do we have the resources to do all this?”) to competitive issues (“Is Brand B faster than us?”). Suffice it to say that there is no brand that has not yet solved these issues.

One of the key questions brands need to answer when developing their AI strategy is, “What partner do we need to engage to help us accelerate our efforts?”

We believe we are that partner, and we are convinced of this because expertise in AI by itself does not provide the “complete package” that organizations need to win in this space. The word “intelligence” is in our name for a reason, but it is not just about machine-driven AI. It is also about the human intelligence that comes from our 100-year history, our presence in 90 countries, and our approximately 30,000 employees, all of whom bring unparalleled experience and expertise to the industry. Experience and expertise that, combined with our AI/ML capabilities, will help our clients succeed for decades to come.

Of course, we understand that your team will conduct a thorough assessment of partners to hire to strengthen (and then implement) your AI/ML strategy. In this assessment

1

Choose the partner with the best data.
Whoever wins the data spoils, and the quality of AI results depends on the quality of the input data. The quality of AI results depends on the quality of the input data, which includes both the depth and breadth of the data. The most successful brands will work with their partners to ensure that their data sources are connected.

2

Choose a partner who works in the field of AI long before it becomes fashionable.

When choosing a partner, make sure they have deep roots in Big Data aggregation and analytics, have a proven track record in ML/AI implementation, and are not just proclaiming their goodwill in AI and ML.

3

Make sure your partner has data management and governance protocols that minimize future risks.

Remember: all data providers rely on their partners to deliver world-class data to customers. Without proper governance and management, a vendor runs the risk of losing access to that data, with far-reaching negative consequences for its future and yours.