Test before invest
Artificial intelligence can be applied in most fields where human experts are involved, assisting and augmenting their natural capabilities. Below are just a few examples that might inspire you when choosing to implement an AI-based solution:
Organizations are constantly looking for ways to become more data-driven, striving to use data analytics technologies instead of intuition, experience or the external environment to guide their strategic planning, innovation and operations. Considerable investment is being made in creating reliable and secure data platforms that are the foundation for deeper use of data through business intelligence (BI) and artificial intelligence techniques and tools. The expected benefits are support for better decisions, efficiency and innovation.
Artificial intelligence is making its way into every area of life and business. Driven by machine learning technologies and expert systems, artificial intelligence is revolutionizing the approach to transforming structured and unstructured data into valuable information or actions.
The adoption of such technologies, however, requires a certain level of readiness on the part of organizations, involving at least two basic dimensions. The first is related to raising the level of data & AI awareness/literacy of all people at every organizational level, which is usually achieved through training. The second dimension refers to a good understanding of what can be achieved with these technologies, but also what costs and benefits they involve. This understanding can usually be gained by engaging in demonstration, testing and experimentation activities.
Individuals, projects, and organizations have their own unique contexts and specific needs, so there is no “standard” training. That’s why the approach we take to the training effort consists of a set of phases that all boil down to a larger overall value: discovery, adaptation, delivery, and follow-up.
Phase 1: we start a stage of Discovery with the client, the final goal being to understand the real needs and objectives, the context, and the knowledge and experience of the people;
Phase 2: we adapt the content to suit the specific audience and their learning objectives and design the delivery in terms of duration and types of activities;
Phase 3: we organize intensive, highly interactive, and practical sessions; theory is good, but we value “Show me the code!” from Linus Torvalds.
Phase 4: After a while, we meet again in follow-up sessions to understand progress, answer questions, and plan the next steps.
Based on specific customer needs, we can deliver a whole variety of more advanced training modules.
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