Start with problems, sand, identification of Trustworth sellers – a quick guide to start with artificial intelligence

with 77 % Among the companies that are already used or exploring the use of artificial intelligence, and more than 80 % claim to be a top priority, leaders yearn for the maximum value of technology. However, the volume of available solutions and attacks from the accompanying marketing messages can make finding a clear path. Here are some guidelines to help you assess the capabilities of artificial intelligence tools and determine the best convenience for your organization.

When the media outlets take out a specific platform, or discover that your competitors use the same platform, it is natural that we wonder if you should also. But before examining a new system, select the problems your business faces. What are the main challenges? Her basic needs? Once your focus is re -directed, prepare the solution you think about this lens.

If artificial intelligence technology will solve the well -defined and measurable problems facing your company (i.e. automating routine tasks or increasing team productivity), the tool is worth exploring. If you do not contact your problems, continue. Artificial intelligence can be incredibly strong, but it has restrictions. Your goal should be to apply it only to areas where the most important effect can occur.

Experimental programs and experimental budgets

When you decide that a specific system may support your needs strategically, you have met the first necessary criteria – but this does not mean that you are ready to make a purchase. The next step is to spend some time to test technology significantly through a small experimental program on a small scale to determine its effectiveness.

The most valuable framework is used by the most decisive performance indicators (KPIS). according to Google cloud: “The main performance indicators are necessary in the Gen Ai deployment for several reasons: objective evaluation, compatible with the goals of the work, enabling the amendments that depend on data, enhance the ability to adapt, and facilitate clear communication of stakeholders and show the return on investment in the artificial intelligence project. It is decisive to measure success and guidelines in artificial intelligence initiatives.

In other words, your test frame can rely on accuracy, coverage, risks, or whichever is a faster Ki -Keteen signs that are most important to you. You just need to get the main performance indicators. Once you do this, collect five to 15 people for the test. Two teams of seven perfect people for this purpose. When these experienced individuals start testing these tools, you will be able to collect enough inputs to determine whether this system is worth scaling.

The leaders often ask what they should do if the seller is not ready to do a pilot program with them. This is a valid question, but the answer is simple. If you find yourself in this position, do not share more with the company. Any seller who deserves is an honor to create a pilot program for you.

In addition, plans forward and allocate funds for the experimental artificial intelligence budget. This place should be when you want to try different solutions without excessive resources. Even if everything seems smoothly, give your team a lot of time to learn about technology and adaptation before the purchase or expansion process.

Giving priority to data security and the seller’s transparency

When you think about a platform, remember that you are not only evaluating technology but the company behind it. The sellers should be placed by checking the same – if not more – from the technology itself. Ensure that you only work with sellers who maintain the highest standards in terms of data safety. They must adhere to international standards for data protection and principles of moral artificial intelligence, and the same platforms must be approved as SOC 2 of Type 1, SOC 2 of Type 2, General Data Protection Regulation (GDPR) and ISO 27001.

Moreover, check that sellers do not use your company’s data for artificial intelligence training purposes without explicit approval. Zoom’s virtual meeting provider is an example of a famous company Scheme To harvest customer content for use in AI and ML models. Although they did not eventually carry out these plans, the accident should raise fears for both institutions and consumers.

If the dedicated Amnesty International Command is placed responsible for this field, this person can manage all data security needs and ensure organizational compliance. This may seem additional work unnecessary, but it is necessary. Remember that all it takes is one violation of the data by a service provider to make you lose customer confidence – if not your customers.

Final ideas

Leaders should use an organized approach to assessing artificial intelligence solutions to get the maximum value of them. First focus on problem solving, and is closely followed by testing, experimental programs, data security and determining the concrete value. Artificial intelligence can be very strong, but only when applied to the right problems after selection and careful implementation.

Arjun Pillay is the co -founder and CEO of the company Dunum.