Event driven automation…
Automating Incident Management for Greater Efficiency
IT teams face a barrage of incoming tickets…
Delivering Faster End User Services with Intelligent Response
Speed matters when it comes to IT support and services…
Reducing Costs Across IT Functions
Between overloaded staff and growing infrastructure complexity…
Securing Environments with Intelligent Detection and Response
With cyberattacks growing in frequency and impact…
Getting Started With Event Driven Automation
Now that we’ve covered the major benefits and use cases…
The Future Is Automated
Event driven automation represents the cutting edge of optimizing IT and business operations…
Emergence of AIOPS Driving Broad Adoption
Artificial Intelligence for IT Operations (AIOps) platforms provide integrated capabilities for parsing diverse data signals, detecting anomalies, correlating root causes, determining optimal automated remediation actions, and continually learning relationships.
As modern tech environments grow vastly in complexity across cloud, containers, IoT and edge infrastructure, AIOps is becoming essential for management. Top industry analyst firm Gartner forecasts enterprise adoption of AIOps will expand at nearly 30% CAGR over the next five years.
Surging growth expected for AI augmented IT operations tools (Gartner)
This mirrors the expanding strategic role of IT as an business enabler, and pressure to optimize budgets. AIOps capabilities for dynamic automated responses based on intelligence applied to real-time data streams and events unlock major efficiency and stability improvements not otherwise possible.
Leading examples adopting AIOps include FedEx, implementing predictive infrastructure failure prevention, saving over $400M annually…
Global bank Standard Chartered applied AIOps for optimizing trade finance transactions, improving processing time by 11.7% and lowering operating costs by 8% annually. Introducing data-driven automation and autonomy to IT processes pays dividends.
Hybrid Cloud Driving Automation Imperatives
As enterprises accelerate cloud adoption, hybrid environments that span both on-prem and cloud resources are increasingly standard. But disparate tools and processes can strain IT teams. Streamlining management using event driven automation is key.
In one example, Cisco IT oversees over 500k physical and virtual elements across their hybrid footprint. Managing incidents, upgrades, provisioning and services manually would require an army of technicians.
By deploying integrated AIOps, Cisco automated ~40% of operational tasks, while intelligently correlating interrelated alerts across domains to reduce ticket volumes by 35% and MTTR by 30%.
Likewise, hotel giant Hilton unified monitoring and automation of guest WiFi services across 5,500 properties in over 100 countries running on a mix of private and public cloud. Event driven automation now seamlessly moves endpoints between management zones to ensure optimal connectivity.
For modern enterprises dependent on complex connected systems, event driven approaches boost resiliency regardless of infrastructure type and location.
Improving Customer Experiences through Automated IT Excellence
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Overcoming Implementation Challenges
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Innovations in Event Driven Automation Approach
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Industry Use Cases Demonstrating Value
Let‘s explore a few examples of event driven automation delivering tangible business benefits across sectors:
Manufacturing – Predictive maintenance slashes downtime
Mass industrial equipment manufacturer Siemens applies automated IoT monitoring to detect early warnings of potential failures. Combining real-time sensor telemetry with ML analytics and rule triggers enables preventing 80% ofissues through proactive self-healing – minimizing plant disruption.
Healthcare – Inventory optimization unlocks cost savings
Hospitals implement smart automated pharmacy ordering integrating signals from medical records software for usage-based dynamic adjustments. This reduced shortages by 57% and outdated medications by 41%, saving over $3M.
Retail – Automated security response minimizes breach impacts
Leading retailer HomeGoods leverages 500k daily security events to feed automated threat modeling, user behavior analytics, and adaptive policy controls. Automated response playbooks now block 80% of attacks within under 60 seconds – significantly reducing exploitation.
Banking – Intelligent bot assistants boost CX
Spanish banking group BBVA now handles 40% of customer inquiries using AI-powered chatbots trained on common account and payments questions. NLU and conversational flows apply natural language interactions while integrating with backend systems. Resolution rates hit 90% with sub-second response times.
Evaluating Top Event Driven Automation Platform Vendors
Key players at the forefront of event driven IT automation solutions include IBM Cloud Pak for Watson AIOps, Moogsoft, Splunk, and several notable startups. Choosing the right platform depends on use case mix, expected ROI, and enterprise integration requirements.
We break down the relative capabilities of leading options:
IBM – With advanced AIOps augmented by Watson AI, IBM leads large enterprises optimizing complex hybrid environments. Acquisitions expand capabilities including incident remediation.
Moogsoft – Specializes in noise reduction and automated event grouping enabling IT teams to focus on priority incidents. Integrates easily with existing toolchains.
Splunk – Leverages analytics expertise for monitoring, reporting and automated actions based on log data. Recently added enhanced machine learning and incident management.
BigPanda – Cloud native platform aimed at onboarding quickly with prebuilt connectors. UI focused on event correlation and collaboration for DevOps teams.
As complexity rises across IT environments, purpose built event driven automation solutions will continue maturing with savvy organizations reaping the benefits.
Conclusion
Event driven automation represents a paradigm shift in IT management – transitioning from reactive to proactive. As this article explored across areas like operations efficiency, cost governance, customer experience and security, the benefits are tangible and significant.
Yet despite the compelling value proposition, incremental adoption is recommended. Start with a single high impact use case, run small scale pilot tests and measure quantifiable metrics like lead time, mean time to resolution and frequency of incidents. With demonstrated quick wins, build towards bolder horizontal expansion across IT and even business operations.
The future entails a self-running fully autonomous infrastructure steered dynamically by intelligent automation. Events flowing through observability pipelines will act as the conductor enabling this automation orchestra – with humans only needing to set direction and objectives.
What potential use cases jump out to you as automation priorities? Which metrics matter most for demonstrating automation success? I welcome perspectives in the comments.
