Intelligence Artificielle

Exploring The Possibilities Of Conversational AI: What Do We Want?

Whether it’s Alexa, Bixby, Siri, Google or Cortana, you are probably using conversational AI from your phone to your car. Conversational AI is a special branch of artificial intelligence that simply enables computers to understand human speech and reply by voice.

One of the most critical impacts of this is that the global GDP is expected to grow by $15.7 trillion by 2030 thanks to AI. This revolutionary technology combines three components: machine learning, automatic speech recognition and natural language processing (NLP). These days, conversational AI looks like a fulfilled dream: you simply ask a question and get a talking answer. Isn’t that what we all want from computers?

We search for information all the time. This could be internal information produced by you and your colleagues or it could be external, produced by the whole of humanity. Right now, we use computer search, which simply is an index of available information. It’s going to be AI-classified and prepare the most suitable answer. Modern search engines will become supplemental. A new way of getting necessary information is going to be a huge time saver and productivity booster. The release of ChatGPT by OpenAI is just the beginning.

The first thing we need to understand is that conversational AI is not just voice assistants—it’s a whole new paradigm that changes our relationship with computers forever. As the progress of AI continues to drive the growth of conversational interfaces, businesses are increasingly turning to “talking computers” for new ways to interact with customers and employees. According to Google Trends, there has been a five-fold increase in chatbot interest during the last five years. However, the AI-human relationship has not yet reached its fullest potential.

Source

Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.

Veille-cyber

Recent Posts

Bots et IA biaisées : menaces pour la cybersécurité

Bots et IA biaisées : une menace silencieuse pour la cybersécurité des entreprises Introduction Les…

2 semaines ago

Cloudflare en Panne

Cloudflare en Panne : Causes Officielles, Impacts et Risques pour les Entreprises  Le 5 décembre…

2 semaines ago

Alerte sur le Malware Brickstorm : Une Menace pour les Infrastructures Critiques

Introduction La cybersécurité est aujourd’hui une priorité mondiale. Récemment, la CISA (Cybersecurity and Infrastructure Security…

2 semaines ago

Cloud Computing : État de la menace et stratégies de protection

  La transformation numérique face aux nouvelles menaces Le cloud computing s’impose aujourd’hui comme un…

2 semaines ago

Attaque DDoS record : Cloudflare face au botnet Aisuru – Une analyse de l’évolution des cybermenaces

Les attaques par déni de service distribué (DDoS) continuent d'évoluer en sophistication et en ampleur,…

2 semaines ago

Poèmes Pirates : La Nouvelle Arme Contre Votre IA

Face à l'adoption croissante des technologies d'IA dans les PME, une nouvelle menace cybersécuritaire émerge…

2 semaines ago

This website uses cookies.