Data systems

ARTIFICIAL INTELLIGENCE IN THE ENTERPRISE.

DATA SYSTEMS AND

CUSTOMER EXPERIENCE.

Artificial Intelligence has been inspiring filmmakers and writers since John McCarthy in 1955. It fascinates us and is the source of all our hopes. The future of humanity is thus linked to connected objects and artificial intelligence. Whoever makes a breakthrough in artificial intelligence will dominate the world. Vladimir Putin, 2017. And like a digital deity, Artificial Intelligence solves our worries about productivity, profitability and even creativity as if by magic. With a field of possibilities in total expansion.

Artificial intelligence in the enterprise and cybersecurity.

According to IBM, Artificial Intelligence/Meta Language tools are now capable of helping companies respond 60 times faster to cyber attacks. Moreover, cybersecurity is one of the most decisive areas in 2022. Because in the daily life of all nations, connected objects are proliferating. Therefore, the attack surfaces of information systems are expanding.

And indeed, Artificial Intelligence is the ideal tool to help companies detect, index and inventory suspicious activities.

Ultimately, for any company, one of the priorities is the effective protection of customer data.

The transition from mobile first to AI first.

Today, in 2022, artificial intelligence is present in all areas of economic activity. Sundar Pichai, Google’s CEO, promises us to move from a mobile-first world to an A.l first world. So it is not only the way the company works that is in total mutation. But it is also the whole society that is in civilizational rupture.

The role of Artificial Intelligence, AI in the customer experience.

The Internet of 2022 will consecrate the customer. Unquestionably, the customer is the king and the customer experience must be equal to his royalty. As effective as it is innovative. But measuring and evaluating this experience by companies is long, tedious and extremely time-consuming. This is why AI is the best solution to offer customers a more personalized and quality experience. Because one of the objectives of the company is obviously to attract and retain prospects.

Artificial intelligence in the enterprise and predictive analysis.

The predictive analytics method interprets current and historical data to provide a picture of what may happen in the future. And based on artificial intelligence, it allows to know which customers will be more loyal to the brand and which ones will give negative feedback. Thus a proactive company can reduce criticality and dissatisfaction by corrective and preventive actions. And on the other hand, strengthen the phases of the customer journey that contribute to customer loyalty.

Unstructured feedback management.

Customer feedback is increasingly numerous and multi-channel. They come from opinion surveys, social networks, etc. The control and full exploitation of this unstructured data are decisive to perpetuate the company’s actions. And once again, faced with the demands of customers, companies find the solution in the application of AI. Indeed, the latter offers text analysis and machine learning techniques to efficiently classify all comments, grouping them by theme and associated sense.

The qualitative analysis then also becomes a quantitative analysis.

On the other hand, the combination of this data with operational and financial information allows us to identify trends, risks and opportunities.

Nevertheless, a study by Forrester Consulting shows that 84% of professionals recognize the value of insights from opinion surveys and social networks. But only 30% of customer feedback data is unstructured.

Customer sense analysis.

It is increasingly important for companies to know which services, situations or proposals create greater satisfaction. And in the customer’s buying journey, companies must correct the friction points and clean up the dissatisfaction factors. The objective is to understand what kind of feelings the product, brand or communication campaign generates in the target audience.

Artificial intelligence in the enterprise : prioritizing actions.

Customers leave direct and indirect signals in all their journeys or interactions with brands. And thanks to AI, companies can use these insights to achieve their goals. Moreover, an insight is an understanding of real needs, which customers express consciously or unconsciously in a direct or indirect way.

The company can then use advanced Customer Experience Management, CEM platforms to identify the most impactful actions. As a result, it can decide on areas of immediate intervention and focus its resources on efficiently improving the customer experience and business results.

A snapshot of civil society.

The Ipsos institute, at the request of the organizers of the World Economic Forum in Davos, has established a barometer on the interest of citizens of 28 nations for artificial intelligence technology, AI. Thus, 78% of Chinese respondents consider that AI technology has more advantages than disadvantages. In addition, almost all emerging countries are in the same dynamic. Namely, 76% of Saudis, 71% of Indians and Peruvians. However, only 31% of the French, 32% of the Canadians, 33% of the Dutch and 35% of the Americans answer in the affirmative. Next to that, 81% of Peruvians think that this technology will have a good impact on their family life against 41% of Belgians.

Artificial intelligence in the enterprise: training.

Nevertheless, all respondents agree on the real benefits of AI on education and training.

Artificial Intelligence, AI and well-being at work.

According to a study by the Boston Consulting Group on Tuesday, January 18, 2022, only 15% of those who are already experimenting with AI say that it has no positive impact on their well-being at work. Thus, nearly two thirds of those surveyed are able to project themselves and foresee possibilities of professional evolution thanks to the implementation of Artificial Intelligence.

Indeed, artificial intelligence is effective in processing data and automating tedious tasks. And in the end, for three quarters of the employees, AI allows to improve the quality of work.

A more skilled workforce.

In spite of the various prevarications, the experience of AI solutions in companies clearly demonstrates an increase in employees’ skills. They better understand complex problems and focus their efforts in the most efficient directions for the company’s success.

Artificial intelligence in the enterprise: hyper automation.

Indeed, hyper automation allows companies to automate all repetitive tasks. Thus, AI and RPA, Robotic Automation, optimize undocumented processes that rely on unstructured data entry. Managers and decision makers can then better identify the interconnections between processes, functions and key performance indicators.

Artificial Intelligence, AI, captains and business leaders.

60% of these players are increasing their investments in AI. Because they believe that artificial intelligence can increase their revenue by at least 5%.

AI models, Artificial Intelligence, without code : Meta Language.

Today, the various training systems are mature. And in the face of the crying lack of specialists in ML, Meta Language, the creation of AI systems with little or no code, is growing and becoming more popular. These systems offer ready-to-use modules. Moreover, they also offer small structures the possibility to compete with larger competitors. And this, without necessarily having teams of AI specialists. On the other hand, more and more companies are implementing artificial intelligence solutions. Indeed, low-code or no-code AI allows to manipulate complex systems by simple drag and drop through ergonomic and very intuitive interfaces.

Artificial Intelligence in the enterprise and Artificial Intelligence models, massive AI.

With the explosion of data volume, these models are constantly expanding. Indeed, the algorithms are becoming more and more precise and judicious in their analyses and decisions. In 2021, the largest operational models will be working with more than 1600 billion parameters. And this is how these algorithms now decode and understand human language with its subtleties, sarcasms and ironies. These algorithms also write books, lines of code, recognize images and perform translations.

Artificial Intelligence, AI in the defense of nations.

Former Google CEO Eric Schmidt and Henry Kissinger, former U.S. Secretary of State write the book The Age of AI : And Our Human Future. They warn of the dangers of machine learning AI systems. So these systems can respond quickly to hypersonic missiles by firing nuclear weapons before a human intervenes in the decision-making process. In this respect, introducing ethics somewherHybrid models of Artificial Intelligence, AImachine is clearly a good idea.

Hybrid models of Artificial Intelligence, AI.

It is the combination of symbolic AI and deep learning. And symbolic AI is the reproduction of human reasoning via the enumeration of rules and symbols. As a result, these models produce powerful algorithms, capable of acquiring knowledge on their own, sharpening the path of thought and making decisions.

A more eco-friendly artificial intelligence.

Experts estimate that data centers will account for 15% of global CO₂ emissions in 2040. And, training a natural language translation model emits the CO₂ equivalent of four personal vehicles during its entire life cycle. The carbon footprint is at the heart of all concerns. And from now on, the priority is on the implementation of simpler models that are just as efficient as the complex models.