Cybersecurity

THE BASIC ATTRIBUTES OF DATA AND AI-DRIVEN COMPANIES

Here are the top habits of successful data and AI-driven organizations

We’re currently in a “data renaissance” where enterprises realize that to execute on novel data and AI use cases, the legacy model of siloed technology stacks needs to give way to a unified approach. In other words, it’s not about just data analytics or just ML – it’s about building a full enterprise-wide data, analytics, and AI platform. They also recognize that they need to empower their data teams with more turnkey solutions in order to focus on creating business value and not building tech stacks. Organizations also realize that the strategy can’t be some top-down authoritarian initiative but needs to be supported with training to improve data literacy and capabilities that make data ubiquitous and part of everyday life. Ultimately, every organization trying to figure out how to achieve all this while making things simple. Here are the top habits of successful data and AI-driven organizations.

 

AI is in Our Future and We Better Grasp It Already

The world organizations like Rolls-Royce, ABN AMRO, Shell, Regeneron, Comcast, and HSBC are using data for advanced analytics and AI to deliver new capabilities or drastically enhance existing ones. And we see this across every vertical. In fact, Duan Peng, SVP of Data and AI at WarnerMedia, believes “The impact of AI has only started. In the coming years, we’ll see a massive increase in how AI is used to reimagine customer experiences.”

 

Open Standards for the Future

The challenge to this approach is that many data practitioners and leaders associate “open” strictly with open source, but oftentimes, you’ve got an open-source engine, and it was just about how you get services and support around it. Every organization is under increasing pressure to fly the plane while it’s being upgraded, but as we get to the point where there are multiple options on how to fly and upgrade, that open nature allows optionality for the future. The optionality enabled by an embrace of open standards and formats is becoming a critical component organizations are increasingly prioritizing in their strategies.

Read more

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

Share
Published by
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…

3 jours ago

Cloudflare en Panne

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

3 jours 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…

3 jours 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…

4 jours 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,…

4 jours 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…

4 jours ago

This website uses cookies.