Ereignis

Bloomberg's Winning the Innovation Game: Modernizing IT Without Disruption

Rocket Software at Bloomberg

The Rocket Software team is back and excited after an incredible experience at the Bloomberg and Rocket event on May 13th in NYC.

At the event, finance and insurance industry leaders gathered to explore the rapid adoption of AI, cybersecurity, and data management technologies transforming their workplaces. Co hosted by Bloomberg and Rocket Software, the event highlighted both the opportunities and challenges that come with integrating these groundbreaking digital solutions.

 

3 key insights from the day

AI is driving transformation, efficiency, and new risks

Industry leaders shared how AI is unifying siloed data, improving customer service, and enabling predictive analytics—unlocking operational efficiencies. At the same time, they highlighted challenges around skills gaps, integration, and governance as adoption accelerates. AI presents a $180B opportunity for financial institutions but requires strategic investment and strong risk management.

Security and data protection demand modernization and collaboration

Speakers emphasized the need to modernize cybersecurity to protect hybrid cloud environments and evolving digital infrastructure. The conversation reinforced proactive fraud prevention, secure data management, and cross-industry collaboration as essential to mitigating growing cyber threats.

Modernizing mission critical systems is essential for agility and innovation

Leaders stressed the importance of balancing operational continuity with continuous modernization—leveraging hybrid cloud solutions to maximize the impact of mission-critical systems while improving agility, scalability, and readiness for future innovation.

Finally, if there's one thing we learned from the event, it's the sheer power of community and collaboration. Stay tuned for similar events and resources designed to keep you at the forefront of innovation? Here's to a future of smarter, safer, and more efficient workplaces.

Watch the recording

13. Mai 2025

 3:30 PM - 6:45 PM

New York

731 Lexington Avenue
NY 10022
Vereinigte Staaten

 
Veranstaltungsbeschreibung

Finance and insurance leaders are moving fast to integrate AI, advanced cybersecurity, and data management to transform their organizations. But along with opportunity comes challenge: firms must navigate evolving cyber threats, train workforces on emerging technologies, and meet complex compliance and privacy demands—all while breaking down data silos.

Bloomberg and Rocket Software convened in New York on May 13 for an in-depth look at how industry leaders
are tackling these pressures. View the vollständige Lautsprecherbestückung Und Agenda to explore what we covered at the event.

The event included sessions from executives at PGIM, Zurich North America, Mastercard, American Express, and more as they shared strategies for:

  • Scaling AI, cybersecurity, and data solutions across industries
  • Building a skilled, future-ready workforce
  • Strenghtening partnerships to solve today's toughest technology challenges

Rocket Presenters

Milan Shetti
Milan Shetti

Ressourcen

IT-Modernisierung ohne Unterbrechung

Die IT-Modernisierung nimmt in der heutigen, sich rasant verändernden Geschäftswelt viele Formen an. Die richtige Strategie kann die Leistungsfähigkeit Ihres Unternehmens steigern, Ihre Branche beeinflussen und Märkte neu gestalten.

Das Gute, das Schlechte und das Hässliche: Generative KI und Cybersicherheit

Die heutige Bedrohungslandschaft und die Anforderungen an die Cybersicherheit sind komplexer und anspruchsvoller denn je. Während sich viele Unternehmen in der Vergangenheit stark auf die IT-Infrastruktur und die Perimetersicherheit konzentrierten, wurde der Mainframe bestenfalls vernachlässigt, schlimmstenfalls aber vergessen.
 

IDC-Perspektive: Mainframes spielen weiterhin eine entscheidende Rolle im Finanzdienstleistungssektor

Die Modernisierung von Mainframes beschränkt sich nicht allein auf die Migration von Anwendungen in die Cloud. Manche Workloads eignen sich zwar am besten für die Ausführung auf dem Mainframe, doch dieser muss sich weiterentwickeln, um seine Vorteile optimal nutzen zu können.