The IT landscape has changed tremendously in the past decade. As it continues to evolve, business, IT and development teams face unprecedented demands, and in response, these teams have to gain new levels of speed, intelligence, and sophistication.  To meet these new mandates, Broadcom offers innovative solutions that harness artificial intelligence (AI) and machine learning, enabling teams to continuously improve decision making and the execution of digital initiatives.  In our three-part blog series, we examine the Broadcom approach to building a machine learning architecture and the unique advantages the Broadcom solution provides. In this first post, we start by examining why machine learning has emerged as an imperative for enterprises.

Evolving IT Landscape and Operations

In recent years, the IT landscape has seen massive transformation, and the rate of change only continues to accelerate. In the not-too-distant past, monolithic applications and static infrastructures were the norm. Today, applications, and the way they’re developed, delivered, monitored, and supported looks very different. The following are just a few aspects of this change:

  • Proliferating technologies. Environments are now composed of a diverse mix of virtualization technologies, clouds, containers, microservices, orchestration systems, and more. Environments continue to grow increasingly dynamic and ephemeral. Increasing layers and types of security technologies continue to be implemented as well.
  • Expanding toolsets. It isn’t just that the volume and complexity of technologies has been increasing. These evolving environments accelerate the velocity of change and require continuous analysis. As a result, the number of tools adopted to manage these complex environments has also continued to expand. Now, it’s not uncommon for IT organizations to be employing hundreds of tools for managing IT operations, security, and development.
  • Changing approaches. Approaches like DevOps, BizOps, site reliability engineering (SRE), and continuous integration/continuous delivery (CI/CD) are emerging as norms, which all serve to accelerate the rate of change. These emerging paradigms place fundamentally different demands on team members, requiring staff to move from being specialists with a focus on specific tools and technologies to generalists who are dedicated to managing services.
  • Escalating demands. For today’s enterprises, the quality and performance of digital services is increasingly intertwined with business performance. It is paramount to bring innovative, compelling digital services to market faster. Teams need to maximize service levels and security at all times. At the same time, wringing maximum productivity out of staff and technology investments continues to grow increasingly critical.

All these factors are necessitating a fundamental change in the way business, IT, and development organizations work. These organizations simply can’t continue to rely on legacy models and approaches to meet their charters.

Introducing Digital BizOps from Broadcom, Powered by Automation.ai

To keep in front of their organization’s rapidly evolving technological environments, business requirements, and security threats, teams need new AI and machine learning technologies that augment and automate decision making. Broadcom is focused on delivering advanced solutions that address these emerging requirements.

Digital BizOps from Broadcom integrates business, development, and operations data to generate actionable insights. Powered by Automation.ai, this solution enables teams to establish continuous improvement in the business outcomes of digital initiatives.

Automation.ai is the industry’s first AI-driven software intelligence platform. Automation.ai harnesses the power of advanced AI, machine learning, intelligent automation and open-source frameworks to transform massive volumes of enterprise data into actionable insights.

To learn more, be sure to read our white paper, How Automation.ai Delivers Scalable, Powerful, and Agile Machine Learning

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