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The Impact and Challenges of Artificial Intelligence for Next-Gen Enterprises
Artificial Intelligence (AI) is not a new phenomenon. It continues to develop and its applications are already very present in our personal daily life (gaming, robotics, connected objects …), arousing as much enthusiasm as fear. This complex concept gained its success in the science fiction world. Although AI is still calling for a more or less fantasized imagination, it is an integral part of reality, and it can be found in many services, systems and applications.
What can be the role of artificial intelligence in the enterprise of the future? Will AI make organizations smarter? These are the main questions that have motivated big companies, with the objective of analyzing and anticipating the impacts of this revolution in progress. In this post, I’ll be discussing organizational, legal and ethical issues related to the governance of artificial intelligence in large enterprises.
A critical factor in adapting the company to the evolutions and challenges of AI environment is to rethink relationship with the company’s stakeholders, and in particular with the customer. It doesn’t mean that one must highlight that “the customer is important” but to emphasize the interaction with the customer. With that being said, client exists only through the interest and interactions developed with them.
So, the question companies should ask is how can they develop a successful interaction with the help of artificial intelligence? What does this mean concretely in terms of channels, content, customer knowledge and, above all, commitment to the customer?
Some companies have “Innovation and prospective” unit to carry out an analysis and a reflection of AI impact within the company. This is to take the step without neglecting the employees who are at the center of the subject. These cells allow the sharing of ideas. As the applications of artificial intelligence within the company are diverse, such as increase of human expertise through virtual assistants; optimization of certain products and services; new perspectives in research and development through the evolution of self-learning programs. The objective of this unit is to exchange in order to make the prospective, in a participatory way, through conferences, roundtables, written reports or scenarios, depending on the choice of the structures.
The Impact of Artificial Intelligence for Enterprises
Artificial intelligence technologies are already anchored in our daily lives. These technological advances intensely question the managerial and organizational practices around innovation in large companies. Many conducted surveys demonstrate that in general, companies do not have a dedicated budget for artificial intelligence. Nevertheless, there are either investment projects or resources that can be allocated to artificial intelligence teams integrated into the wider data teams. Be that as it may, the subject of artificial intelligence is present in large enterprises; It may remain theoretical but may also be the subject of initial experiments, notably concerning the predictive algorithms. Artificial intelligence does not fundamentally change everything in the company, it will rather “increase” performance, automating or perfecting certain processes and / or operations.
Benefits for organizations:
Today, artificial intelligence already generates many benefits for organizations, notably by:
- Responding to Big Data issues; Artificial intelligence relies in large part of the search and mass analysis of data from which it can learn;
- Increasing human decision-making expertise, online help assistant: a Hong Kong-based company, Deep Knowledge Venture (DKV), possesses, for example, artificial intelligence at its board of directors. Vital (Validating Investment Tool for Advancing Life Sciences) who makes investment recommendations and is also entitled to vote;
- Optimizing services and products: improving customer knowledge, decision-making and operational processes;
- Strengthening systems security: in the area of cybersecurity, artificial intelligence becomes a structuring element of IT infrastructures, in order to secure networks. Automatic recognition is well established for the detection of fraud, and experts are under way to create algorithms that will identify threats that human brains and traditional security mechanisms fail to recognize.
- Helping to make discoveries: some companies in the field of health analyze all the scientific publications related to a particular area of research, which allows them to look for new properties, new molecules.
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Challenges:
The challenges for large companies are numerous. Starting with cultural and organizational changes. As noted in the Telecom Foundation’s Watchbook No. 8: “The craze for artificial intelligences has been accelerated by the availability of AI capabilities in the form of APIs (on the one hand, Vision or predictive), and the source code of the platforms of Machine Learning released by major Internet operators, on the other hand “.
These technology facilitators will keep pushing companies to become APIs (APIs) in order to optimize their resources. It is therefore necessary to understand the world of APIs in this transversal, cross-enterprise approach, which is not without posing a number of challenges for large companies. To succeed one must develop the fallowing roadmap strategy:
- Build stronger relationships with clients;
- Optimize internal processes;
- Accelerate the development of new developments.
To conclude I’ll say that we live a golden age of artificial intelligence, boosted by the increasing interest of web giants for the stakes of Big Data. The first AI investors are indeed the pure players of the internet and the main players of the software. The movement is launched, and it is our responsibility to anticipate the effects of this revolution on large companies.