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MFEC Invited to Join Cisco FSI Summit 2024

MFEC had been invited to participate in the Cisco FSI Summit 2024, an exclusive event for executive customers in the Financial Services Industry (FSI) business. The summit focused on fostering business opportunities, building strategic networks, and showcasing cutting-edge technologies from Cisco and its partners. At the MFEC booth, we highlighted two leading technologies: 1. ThousandEyes: An end-to-end network performance monitoring and analytics solution that tracks the performance of both on-premises and on-cloud networks and applications. It significantly reduces troubleshooting time and supports a wide range of monitoring deployments. This solution is ideal for network administrators and organizations with multiple branches seeking efficient network issue detection and analysis. 2. Catalyst Center: A network management solution that enables network administrators to quickly and efficiently manage their network systems. It features capacity and performance monitoring for network devices, with AI-driven problem analysis and real-time alerts offering immediate recommendations for troubleshooting. This solution

MFEC

MFEC

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Build Bridges: Connecting team for shared success

The event “Build Bridges: Connecting Teams for Shared Success” aimed to unite teams from MFEC, Krungsri Bank, affiliated companies, Cisco, and Kyndryl to foster synergy in collaboration. Within an enthusiastic atmosphere, attendees were able to gain valuable insights from workshops and shared experiences, laying the groundwork for enhanced collaboration and successful partnerships in the future. 

MFEC

MFEC

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Cisco Enterprise Agreement (EA): A Tool to Help Your Business Move Toward an Efficient Future

āļŦāļ™āļķāđˆāļ‡āđƒāļ™āđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļ—āļĩāđˆāļŠāļēāļĄāļēāļĢāļ–āđ€āļ‚āđ‰āļēāļĄāļēāļŠāđˆāļ§āļĒāđ€āļŦāļĨāļ·āļ­āđƒāļ™āļ”āđ‰āļēāļ™āļ™āļĩāđ‰āđ„āļ”āđ‰āļ„āļ·āļ­āļāļēāļĢāđƒāļŠāđ‰ AI āļ—āļĩāđˆāļĄāļĩāļ„āļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļ–āđƒāļ™āļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļĨāļ°āļ„āļēāļ”āļāļēāļĢāļ“āđŒ āđ„āļ›āļˆāļ™āļ–āļķāļ‡ Generative AI āļ—āļĩāđˆāļŠāļēāļĄāļēāļĢāļ–āļ„āļīāļ”āļŠāļĢāđ‰āļēāļ‡āļŠāļĢāļĢāļ„āđŒāđ„āļ”āđ‰ āđƒāļŦāđ‰āļĄāļēāļŠāđˆāļ§āļĒāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļāļēāļĢāļ”āļģāđ€āļ™āļīāļ™āļ˜āļļāļĢāļāļīāļˆāđƒāļŦāđ‰āļĄāļĩāļ„āļ§āļēāļĄāļĒāļąāđˆāļ‡āļĒāļ·āļ™āđāļĨāļ°āļŠāļ­āļ”āļ„āļĨāđ‰āļ­āļ‡āļāļąāļšāļŦāļĨāļąāļāļāļēāļĢ ESG āļĄāļēāļāļ‚āļķāđ‰āļ™ āļ•āđˆāļ­āđ„āļ›āļ™āļĩāđ‰āļ„āļ·āļ­āļ•āļąāļ§āļ­āļĒāđˆāļēāļ‡āļ āļēāļ„āļŠāđˆāļ§āļ™āļ—āļĩāđˆ AI āļŠāļēāļĄāļēāļĢāļ–āđ€āļ‚āđ‰āļēāļĄāļēāļŠāđˆāļ§āļĒāđ€āļŦāļĨāļ·āļ­āđƒāļŦāđ‰āļĒāļąāđˆāļ‡āļĒāļ·āļ™āļ‚āļķāđ‰āļ™āđ„āļ”āđ‰

MFEC

MFEC