As enterprise leaders look to pursue their IT and business objectives, they are being stymied by their organizations’ legacy tools and data sets. While these legacy approaches worked in years past, they’ve become untenable. These tools create data silos that present increasingly significant barriers to progress, inhibiting collaboration, insights, and innovation. Now, Broadcom offers a solution that eliminates these obstacles. is an AI-driven software intelligence platform that enables a unified, enterprise-wide approach to data. In this post, I offer an introduction to, detailing the key requirements the platform addresses.

Introduction: Isolated Data Sets Stifling Transformation

In the digital enterprise, data is the fuel that powers success. The ability to harness data and use it to establish innovative offerings and optimized operations is what will separate winning enterprises from the rest.

However, in today’s enterprises, the challenge isn’t a lack of data, it’s the inability to make it actionable and accessible to those who need it. Over the years, individual teams have employed their own tools, leaving the data generated tied up in isolated repositories.

While these team-specific tools serve a purpose within the group, they present significant obstacles for enterprises looking to pursue digital transformation. These disjointed data sets impede intradepartmental communications and collaboration. Further, they fundamentally limit the value that can be gleaned from the data being captured. Delivering a Unified Approach for Enterprise-wide Intelligence

To succeed, today’s enterprises need a unified approach to data. is the software intelligence platform that provides a set of open-source-based, machine-learning algorithms and a common data lake. With these capabilities, the platform enables Broadcom and its partners to deliver intelligent applications and services. As an example, this platform powers Broadcom Digital BizOps solutions leveraging AI and machine learning to analyze, correlate, and connect business and IT data across domains, creating an unprecedented degree of transparency and visibility across the organization.

The elements of a Digital BizOps platform implementation can be represented by a comparison to Apple’s smartphone ecosystem:

  • Operating system. is a software intelligence platform, which can be thought of as the equivalent of the iOS operating system. Through, teams can establish an platform that users from across the organization can employ to access the data they need. enables organizations to establish a unified data lake that aggregates and correlates data from across the organization. The platform can apply intelligent capabilities, including automation, AI, machine learning, and more to fully leverage the data available.
  • Device. The Digital BizOps solution is analogous to the iPhone. Powered by the platform, the Digital BizOps is a number of robust applications delivered to users in a centralized fashion. Like all devices that use the iOS platform, all the applications delivered through the Digital BizOps platform will provide users with a consistent interface, workflows, and more. (See our blog post on the Digital BizOps solution for more information on the platform and its capabilities.)
  • Applications. Apple customers can choose from an extensive selection of applications, including those from Apple and an array of partners. Similarly, the Digital BizOps platform delivers a comprehensive set of applications, including those from Broadcom and, moving forward, from third-party partners.

The Requirements—and How Addresses Them addresses all the core requirements today’s organizations need in a software intelligence platform. In the following sections, we examine each of these requirements.

Alignment with modern hybrid cloud realities

Today, your environments are characterized by a mix of the legacy and the modern, distributed and mainframe, on-premises and third-party hosted, private cloud and public cloud. Tomorrow, it’s a safe bet that your environments will only be more diverse. By offering a secure, hybrid cloud deployment, gives you greater flexibility and more data deployment options to support your entire digital delivery chain, from mobile to mainframe, and all points in between.

AI and machine learning

To operate with the speed and intelligence required, AI and machine learning are essential. With its advanced AI and machine learning algorithms, enables teams to leverage comprehensive data sets to better track, understand, and predict changes, both in IT operations and the business. Our algorithms have been deployed in a range of industries, and proven to scale to support the largest enterprises.

Intelligent automation

To establish operational efficiency while keeping pace with rapidly changing IT and business environments, teams need to establish end-to-end automation across complex workflows and multiple domains. delivers these intelligent automation capabilities. can automatically trigger proactive execution of remediation scripts, and the automated updating of tickets to reflect the steps taken—all before users ever notice there’s an issue. By coupling intelligent automation with AI and machine learning, enables teams to begin to establish self-healing environments.

Frictionless security

Delivering optimized user experiences is an imperative, and so too is the need to ensure maximum security of sensitive assets and interactions. That’s why delivers advanced security capabilities and why the platform itself is hardened, offering robust defenses and access controls. The platform delivers AI and machine learning to fuel intelligent threat detection, response, and mitigation—enabling teams to stay in front of their rapidly changing environments, vulnerabilities, and threats.

The platform enables teams to establish security that is aligned with DevSecOps environments, promoting security across the entire software development lifecycle. With, teams can deliver great digital experiences, while minimizing the potential for data breaches and other security incidents. The platform can ingest threat analytics and other data from across the enterprise, and correlate this intelligence with applications and users.

Open, extensible architecture and comprehensive ecosystem

Today, teams need a software intelligence platform that offers the broadest implementation flexibility, providing deep integration with a suite of solutions and extensive options for interoperability with third-party technologies. comprehensively addresses these requirements. The platform offers the flexibility of open source technologies, and provides extensibility to both enable and accommodate innovative new applications, technologies, and business models.

Our platform is built to scale, featuring an open architecture composed of Elasticsearch, Kafka, and Apache Spark Machine Learning. correlates and analyzes the industry’s most comprehensive data sets, leveraging data on topology, network flow, user journeys, transactions, time-series, and more.

Moving forward, the platform will enable organizations to maximize the value of their investments by extending the platform in a number of ways. For example, teams will be able leverage their own home-grown machine learning algorithms within the platform. also offers a unique extension mechanism that enables teams to include custom software components, including machine learning libraries, which can efficiently be packaged as Docker containers and deployed to a Kubernetes OpenShift cluster.

Find Out How You Can Eliminate the Obstacles Posed by Data Silos

Isolated data sets represent a fundamental obstacle for today’s enterprises. These silos restrict insights, inhibit collaboration, create inefficiency, and fundamentally stifle innovation. With, enterprises can harness a software intelligence platform that eliminates data silos and all the obstacles they present. With, your enterprise can gain the intelligence and agility you need to adapt and innovate as fast as your markets require. To learn more, be sure to visit

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