Over the past decade, businesses irrespective of sectors and geographies have realized the myriad benefits of infusing digital solutions within existing business systems, processes, and operations. In a world where consumer experiences and expectations are swayed by the digital ecosystem, digital transformation has become an enterprise imperative. From increased business efficiency, employee empowerment, and productivity, to enhanced customer experience, enterprises are realizing a host of business impacts that have been fostered over the years.

Even though enterprises have been investing in digital transformation initiatives over the last decade, lately, the transformation exercises have gathered pace to make business and IT operations disruption-proof. According to a recent report, the global spend on digital transformation is projected to be no less than $1.8 trillion in 2022, with that number further rising to $2.8 trillion by 2025. Are enterprises adequately equipped to meet their digital transformation objectives? And, if not, what is the best way forward for them?

New-age challenges demand a dynamic, proactive approach

While enterprises are making the right moves toward digitally transforming their operations, IT, and business processes, there are a few challenges that stifle their progress, resulting in longer turnaround and missed digitization opportunities. Some of the key focus areas for enterprises in their digital transformation initiatives are app modernization, hybrid workplace, automated remediation, DevOps, SRE, improved customer experience, and realization of enterprise AI benefits. Currently, the underlying enterprise IT layer is unstable and is proving inadequate to drive or support digital transformation initiatives.

With the business ecosystem now more complex and spread out as stakeholders are dispersed geographically and using a multitude of end devices, efficient IT management has become supremely critical for enterprises. Service delays and downtime cost businesses resources, productivity, and reputation. Enterprises that are yet to thoroughly digitize their IT operations are not only plagued by service issues but are also failing to achieve the agility and resilience that have direct implications on their business.

To counter this, businesses end up investing in point IT Operations and Automation products that are aimed at addressing a particular symptom rather than the underlying cause. Moreover, implementing point solutions only compounds the problem generating siloed IT operations with a distinct lack of visibility and coordination. As a result, enterprises are often plagued by challenges around:

While enterprises have deployed point solutions to meet their immediate needs, they are still operating basic monitoring tools, rule-based event management engines, automated scripts for targeted alerts, and reactive reporting. These point solutions are particularly ineffective in managing the rising volume of operational noise caused by a hybrid and complex digital landscape. IT, therefore, is perennially occupied in firefighting without adding any strategic value to the business. Here is a snapshot of the various areas that point solutions are being used:

Point solutions often work in isolation and seldom communicate with each other. There is a stark lack of end-to-end visibility across the organization and a limited understanding of IT’s impact on business goals.

This is where enterprises need a holistic solution that offers advanced AIOps and observability capabilities to enable autonomous IT for proactive intelligence and predictive analytics. Add to that, the immense scope for intelligent automation, cognitive assistance, end-to-end business observability, and hybrid cloud lifecycle management, workload automation, compliance and patching, service management, and enterprises have a 360-degree solution that ticks all the right boxes and delivers a stable, predictive IT landscape that forms a bedrock of successful digital transformation.

Technological synergy fostering value-based outcomes

Enterprises need a top-down and AI-driven ITOps solution that offers holistic coverage of IT operations with minimal manual intervention and strongly drives digital transformation initiatives. DRYiCE™ Software, with its unique capabilities and cross-domain experience, understands the pain points of today’s enterprises and has developed an advanced AIOps and observability solution – DRYiCE IntelliOps™ – that addresses the digital transformation needs of forward-looking enterprises.

DRYiCE IntelliOps is an AI-first full stack integrated offering aimed at organizations that require an infusion of advanced AIOPS to boost their operations ecosystem. To maximize value throughout the modern operations landscape it enables resilient, predictive, always-on digital services for an agile IT and business infrastructure.

The ML-driven event management with a correlation engine enables smart collaboration and knowledge management, intelligent anomaly detection, root-cause analysis, and predictive situation management. While NLP-powered zero-touch resolution help enterprises achieve automated remediation and reduce manual intervention by identifying automation candidates and offering self-help features.

IntelliOps facilitates AI-led, human-assisted operations, and ensures thoroughly digitized business functions. Here is how IntelliOps does that:

Moreover, the unique capabilities around cloud FinOps and cloud lifecycle management enable expense optimization, improve governance, and enhance process workflows. Contextualized IT data provides end-to-end business flow observability and operational intelligence, thereby enabling both business and technology stakeholders to comprehend the impact of IT on business goals and bottom line.

IntelliOps delivers value at scale

Given IntelliOps’ holistic purview and well-rounded capabilities, enterprises can focus on digital transformation and their core competencies instead of devoting resources to routine IT operations. Self-learning AI algorithms make IntelliOps a perpetually evolving solution with ever-growing capabilities allowing it to offer definitive business and operational value at scale. Here are some of the benefits offered by IntelliOps:

Maximize value with a flexible usage model: IntelliOps will allow customers to consume various enterprise tools as-a-service and only pay for what they use or opt for full-stack AIOps, which can be more cost-effective that the traditional licensing models.

Augment end to end IT landscape with resilient automation: IntelliOps powered by AI and Machine Learning has automation infused across IT ecosystem layers.

Switch to OPEX from a CAPEX heavy approach: IntelliOps delivers value without the hassle of license management, implementation, and tool setup in an as-a-service model and pay only for what you consume.

Infuse agility in your organizations to maximize user impact: via trend analytics, SLA breach prediction, change failure prediction, capacity forecasting, resource performance, continuous patch and compliance, and multiple other areas.

Enhance business performance with end-to-end visibility: Pre-configured dashboards, views, and reports a rich repository of pre-configured reports and dashboards covering key IT operations KPIs.

IntelliOps fosters a slew of direct and tangible benefits including reduced operating costs and time to value, improved business agility and user experience, reduced deployment and provisioning time, and improved asset utilization and SLA compliance. With IntelliOps, enterprises have reported up to 95% noise reduction, 3600+ man hour saved, 99.9% tools availability and 88% improvement in CSAT. Multiple enterprise integrations offer operational seamlessness, eliminate siloed point tools, and radically improve productivity through continued service uptime and expedited outcomes.

Enhance business performance with end-to-end visibility: Pre-configured dashboards, views, and reports a rich repository of pre-configured reports and dashboards covering key IT operations KPIs.

IntelliOps at work is a game-changer. One such example can be seen with a customer in the Industrial mineral sector where IntelliOps improved successful auto-ticket resolution rate by 29%, reduced noise by 73%, and automated the entire incident resolution lifecycle, by implementing unified element monitoring and reporting, 460+ man hours saved. VM readiness timelines were reduced from 15 days to 8 hours.

Click here to know more about IntelliOps and how it can aid your digital transformation agenda.