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Cisco and Splunk Announce Integrated Full-Stack Observability Experience
for the Enterprise
Cisco unveiled the first of its innovative integrations with Splunk, a integrations and innovations, customers gain unified visibility
Cisco company, as the organizations combine their market-leading across their entire digital footprint, including both owned and
observability technologies to accelerate full-stack observability for unowned networks. The observability experience helps meet
the entire enterprise, helping customers deliver more performant customers’ unique IT environment needs by providing support for
and secure digital experiences. Through the full-stack observability on-premises, hybrid and multi cloud environments. “By bringing
journey, organizations can unlock unified visibility across any together Splunk and Cisco observability solutions, customers now
environment (on-premises, hybrid and multi cloud) and any stack have unified visibility across their entire digital footprint so they
while harnessing powerful real-time analytics for faster, more can detect, investigate and resolve problems faster to create a
accurate detection, investigation and response. Building on the reliable, resilient experience for their users,” said Tom Casey, SVP
recent landmark acquisition, Cisco and Spunk announced new and GM, Products & Technology, Splunk. “Having full control over
integrations including a unified observability experience for joint their data helps them make more targeted, effective and smarter
customers, and the introduction of Splunk Log Observer Connect investments in their digital systems and services, allowing them to
for Cisco AppDynamics and Cisco AppDynamics integration with better leverage their entire digital footprint to attract more business
Splunk IT Service Intelligence (ITSI). Now with Cisco’s unparalleled and grow the company.”
visibility into the network and any environment, coupled with
Splunk’s industry-defining log analytics and cloud native
observability capabilities, customers can instrument their entire
business and reduce blind spots. New full-stack observability
innovations were also announced, including a new AI Assistant for
AppDynamics which delivers meaningful guidance and insights,
and empowers users to make informed decisions faster and more
accurately than ever before, as well as expanded AppDynamics
Software-as-a-Service (SaaS) hosting on Microsoft Azure. In
addition, new Advanced AI in Splunk IT Service Intelligence (ITSI)
was unveiled, which leverages advanced AI and machine learning
capabilities to provide IT teams more precise alerting and a more
accurate view into IT health. Through Cisco and Splunk’s new
Cisco Announces New AI-Powered Innovations and Investments to Help
Customers Unlock a More Connected and Secure Future
Cisco kicked off Cisco LIVE 2024 with new AI-powered innovations latest turning point in technology. It’s an efficient, intelligent
and investments that deliver a clear message: AI isn’t just the source of digital resilience that can connect and protect entire
organizations and power growth, scale, and an inclusive future for
all. At its premier networking and security event, Cisco is launching
AI-enriched networking, security, and observability solutions
across its entire portfolio. These are designed to give customers
the visibility and insights they need to connect and protect their
entire digital footprint and build digital resilience. “We're thrilled to
share incredible innovation and new AI-powered capabilities for
our customers at Cisco Live,” said Chuck Robbins, Chair and CEO
of Cisco. “Cisco is uniquely positioned to revolutionize the way
infrastructure and data connect and protect organizations of all
sizes, and we are confident we are the right strategic partner for
our customers in this era of AI." Cisco Investments also announced
a $1B global investment fund to expand and develop secure and
reliable AI solutions. Cisco is making strategic investments in
Cohere, Mistral AI, and Sale AI that will advance several critical
areas including customer readiness, compute infrastructure,
foundational models, model development, and training.
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