Artificial intelligence is rapidly changing the way we do business
For some time now, businesses can have huge online databases that contain a lot of information and knowledge on which they can build a competitive advantage in their industry.
The importance of text and data analysis is increasing drastically. With a lot of online knowledge bases and "upcoming" knowledge base software, artificial intelligence and knowledge management are gaining a lot of momentum.
The new challenge is to use both unstructured and structured data. This allows enterprises to find ways to extract knowledge from many more sources. In this scenario, cognitive computing becomes a key tool for extracting insights from big data.
Our consulting activity is particularly focused on manufacturing companies in the medium-high tech sectors. These companies can seize many opportunities from the use of AI.
Artificial Intelligence in medium-high tech companies
Medium-high-tech sectors are generally characterised by incremental and combinatory innovation. Unlike high-tech sectors (electronics, pharmaceuticals) that develop through technological leaps and knowledge breakthroughs (i.e., through radical innovation processes), incremental innovation aims to improve systems that already exist. It makes them more efficient and less expensive. Medium-high-tech systems are complex artifacts as a result of integration of different technologies and knowledge. In medium-high-tech companies, the ability to accumulate and transfer knowledge is the key factor for medium-term competitiveness.
Incremental innovation feeds on cumulative knowledge acquired over time in problem-solving activities at various stages of novelty. It is based on tacit forms of knowledge embedded in both individual and collective procedures applied in the manufacture of complex systems.
The innovation capacity of a medium-high-tech company derives both from the technical-professional knowledge of its employees and from the ability to adopt action strategies based on complex cognitive skills. The latter are the result of experience, critical reflection, intuition, understanding of the specificity of contexts, ability to relate to different sources of knowledge, etc.). These elements are not easy to encode and transmit.
Artificial intelligence provides new sources of knowledge and develops the ability to innovate. The ability to process large amounts of data about the products and the capacity to analize them with innovative techniques allows medium-high-tech companies to trigger processes of improvement of their products and to provide innovative services capable of enhancing customer assets.
The more complex the systems, the greater the need for rapid learning
Our approach to AI
No "black box" algorithms
We believe that managers should be accountable for their decisions.
Our approach is at the opposite extreme from "black box" approaches. In this type of approaches, the reason predictive models make certain decisions "remains a mystery hidden in an algorithm."
We prefer the use of tools that enable logical rule construction and allow engineers to expand their knowledge about how products behave during use, and marketing managers to learn more about customers and markets In these terms, we promote all methods and tools aimed at explainable AI.
Human-centered and Machine-centered integrated approach
Conventional, human-centered approaches to innovation have limitations that depend primarily on their imperfect ability to fully address information needs and manage complexity. But, on the other hand, an overly data-centric approach does not produce knowledge nor is it able to trigger process innovations. We integrate human-centered knowledge capture and capitalization methods and machine-centered data science methods.
Key differentiators of our offer
We prioritize building logical connections and cause-and-effect relationships so that internal skills can grow. We consider mathematics as a tool and not the primary focus. Our goal is always knowledge as the basis of competitiveness in the short and medium-term. For this purpose we have selected the best AI platforms, business intelligence tools and knowledge management systems that are able to support this kind of approach;
Increased competitiveness and growth of intangible assets
Although we are talking about the use of a new technology, we believe that the adoption of AI must ensure a new competitiveness and increase the value of intangible assets. In these terms, we promote the adoption of a strategic approach based on the direct involvement of senior management, industry specialists and client-partners.
Machine Learning and Learning Machine.
Being a technology that produces new knowledge, we place great emphasis on the integration and capitalization of knowledge and on the need to accelerate organizational learning through the use of "Learning Machine" mechanisms.
New knowledge-intensive services are in demand in the marketplace.
We help companies to create new knowledge-intensive business services (KIBS) able to generate additional revenues and margins. In this sense we operate with the logic of the new business plan. Thanks to AI, our clients develop innovative support services with the aim of reducing extraordinary maintenance costs and eliminating customers' loss of revenue due to the down-time of their systems. For medium-high-tech companies, AI is becoming a key technology and is rapidly assuming a strategic role thanks to improved financials.
In addition to developing new services, we help enterprises unlock and capitalize on valuable know-how about the causes of product failures and customer behavior by building logical relationships that are easy to understand.
We use AI as an aggregate of tools and methods that make the understanding of complex phenomena faster. As a result of our interventions, the creativity, skill, and ingenuity of the staff are enhanced resulting in an amplification of the company's design capabilities.
The creation of new corporate knowledge not only enhances the sense of trustof individuals (augmented knowledge, augmented intelligence), but also develops greater internal integration and a stronger sense of belonging to the company.
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