Neudesic Logo
Search icon
CONTACT US Arrow icon

by

Want to learn more? Dive deeper with our comprehensive Intelligent Ops guide.

Actualizing the value of Intelligent Ops takes careful preparation, planning, and implementation. In this blog, we’ll explore some of the things your organization can do to set itself up for success.

What is Intelligent Ops?

Intelligent Ops represents the next evolution of AIOps, utilizing cutting-edge technologies like generative AI to bolster the entire business. It expands on the conventional understanding of AIOps, encompassing three primary pillars:

  • AIOps: Offers precise visibility and control over IT infrastructure and incident management through integrated, intelligent monitoring.
  • FinOps: Lowers the total cost of ownership (TCO) by relying on strategic, data-informed recommendations and smart optimization.
  • SecOps: Enables quick threat detection and resolution by integrating AI, cloud computing, and automation.
Intelligent Ops Value Proposition

A mature Intelligent Ops strategy can streamline operations, decrease the Total Cost of Ownership (TCO), and elevate the customer experience. However, many organizations hit a snag due to a lack of clarity on how to embark on the Intelligent Ops journey.

Key Elements for a Successful Intelligent Ops Implementation

To effectively implement Intelligent Ops, it's crucial to comprehend the multifaceted elements of an operations program. These elements can be categorized into business, technological, and administrative domains.

Build consensus and the business case for Intelligent Ops

As discussed, a successful Intelligent Ops program holistically supports the business. Intelligent Ops expands beyond AIOps, integrating SecOps and FinOps to complete your operational journey.

From the business standpoint, two pivotal prerequisites for implementing Intelligent Ops are the backing and consensus of key stakeholders, and an organizational readiness to transition into modernized operations.

To bridge the gap between understanding and action, we strongly recommend crafting a compelling business case for Intelligent Ops. Engage with department leaders, highlight the tangible benefits, and showcase how Intelligent Ops can address specific pain points within the organization. By presenting a clear vision and tangible outcomes, you can rally the support needed to make Intelligent Ops a foundational element of your business operations.

Foster stakeholder engagement

Intelligent Ops is crafted to bolster the business side of IT. This necessitates endorsement and backing from the C-suite, ensuring operational directives are in sync with the company's overarching vision and trajectory. It's at this echelon that the diverse facets of Intelligent Ops — including financial and security objectives — are established, guiding operational teams to shape the business facet of IT.

Adopting an Intelligent Ops mindset

Optimizing the business isn't just about efficiencies in isolated processes; it's about looking at the organization holistically, understanding how different elements interact, and identifying areas where innovation can drive significant value. While AIOps plays a crucial role in streamlining and automating processes, Intelligent Ops delves deeper. It harnesses the power of AI and advanced instrumentation, not just to automate but to provide actionable insights. It prompts leaders to ask forward-thinking questions like, "How can we leverage technology to make our operations more efficient, secure, and cost-effective?" or "Where are the untapped opportunities for innovation in our current operations?"

By fostering this Intelligent Ops mindset, organizations position themselves to be more resilient in the face of challenges and more adept at seizing opportunities in the ever-evolving tech landscape.

Technical Alignment

Intelligent Ops taps into contemporary technology to augment business operations. Technologically, an organization requires specific infrastructure, components, and a diverse skill set to cultivate a potent Intelligent Ops program.

Components and Infrastructure

An Intelligent Ops program bifurcates into the system(s) under governance and the Intelligent Ops platform overseeing the management. Several prerequisites for this category include:

  • Baseline: A foundational configuration or a reference group, essential for measuring enhancements and the ramifications of various modifications.
  • Target: A system receptive to the directives of an Intelligent Ops platform.
  • Data: The capability to amass data (logs, alerts, etc.) from the governed system and to retrieve historical, real-time, and forecasted data.
  • Deployability: The proficiency to roll out one or multiple units of the system under management, along with AI models to navigate and assimilate the system's behavior.

Upon pinpointing the system(s) necessitating management, the organization can embark on designing, constructing, and launching an Intelligent Ops platform for its oversight. This venture calls for a comprehensive architectural blueprint, coupled with access to an assortment of tools, components, and foundational elements, vital for instituting various management and surveillance functions.

Technical skills

To design, implement, and operate an Intelligent Ops program, you need deep expertise across several domains. The essential skill sets include:

Data Science and Engineering: Customizing an Intelligent Ops program for business needs demands the capacity to create, test, and refine AI models. Data scientists and engineers play crucial roles in collecting and formatting input data, and in developing the models that monitor and manage an organization's systems.

Systems Architect and Administrator: Intelligent Ops platforms monitor and manage intricate IT landscapes. Systems architects and administrators are indispensable for designing the overarching system and ensuring its ongoing functionality.

Cloud Engineers: Intelligent Ops enhances cloud operations by collecting data, processing it, and employing various tools to effect changes. Comprehensive cloud knowledge is vital to craft and maintain the interface between the Intelligent Ops platform and the cloud infrastructure.

Business Analyst: These professionals are crucial to delineate the business processes that the Intelligent Ops platform will automate, monitor, and manage. Each process must be charted from start to finish, with metrics that determine its success or failure.

A successful Intelligent Ops rollout also demands the establishment of specific processes to buttress the program. As Intelligent Ops quickens the tempo of IT operations, many of these processes revolve around change and knowledge management.

Stages of Implementing Intelligent Ops

Implementing Intelligent Ops involves leveraging generative AI to revamp an organization’s IT management. To help mitigate risks and hasten the realization of value for an Intelligent Ops program, Neudesic uses the 4D development framework; however, the following can be adapted to almost any existing process.

1. Discover

For Intelligent Ops to be successful, it must be tailored to an organization's unique needs. The Discovery phase ensures this alignment:

  • Understand the landscape: Familiarize with the existing tools, ensuring proper monitoring and controls are in place.
  • Business and operating objectives: Document and prioritize the business goals for the Intelligent Ops program. This acts as a roadmap for teams, helping them understand dependencies, make informed decisions, and move more swiftly. It's a vital tool to prevent undesirable outcomes and speed up time-to-value.
  • Tooling decisions and key metrics: Using insights from the landscape and goals, decide on the required tools and define success metrics.
  • Map system architecture: With defined goals and systems, draft a high-level system architecture for the Intelligent Ops program.

2. Define

Building on the discoveries:

  • Metrics and commitments: Set Service Level Objectives and Agreements (SLOs and SLAs) and decide on Mean Time to Detect and Recover (MTTD and MTTR) metrics, based on business needs and system architecture.
  • Training and skills: Identify and bridge any training or skill gaps after comparing the organization’s current capabilities with its Intelligent Ops objectives.
  • Platform integrations: Define the integrations needed with platforms like Microsoft Azure for optimal monitoring and remediation.

3. Design

The Intelligent Ops program revolves around three pillars: AIOps, FinOps, and SecOps. This stage focuses on crafting solutions that cater to business needs in these areas:

  • Plan deployment models: Outline strategies for deploying Intelligent Ops within the organization.
  • Develop integration connection points: Define interfaces for integrating the Intelligent Ops platform with existing IT and security systems.
  • Architect infrastructure: Plan the Intelligent Ops infrastructure's placement within the broader IT landscape.
  • Configure AI models: Detail the AI models required, such as anomaly detection and predictive maintenance.

4. Deliver

This concluding phase involves the actual implementation and support of the Intelligent Ops components:

  • Socialize standards and best practices: Create reference architectures, reporting standards, and best practices for systems under management.
  • Implement governance and compliance: Establish governance criteria, including documents and Azure platform policy definitions, to ensure ongoing operational improvements.
  • Monitor environments: Highlight essential elements for efficient operations, such as native Azure implementations, monitoring standards, and third-party tool and security integrations.
  • Share incident response and remediation: Draft policies and procedures for incidents managed by the Intelligent Ops platform, with clear metrics like MTTR.
  • Training: Equip users with the knowledge they need to fully harness the Intelligent Ops program.

Intelligent Ops with Neudesic

Building an Intelligent Ops program can be a significant undertaking. To be successful, an organization needs a clear understanding of its infrastructure and goals for the program as well as a wide range of subject matter expertise. Many organizations may not have the required skills, expertise, and resources in-house.

The Neudesic Intelligent Ops Accelerator creates an easier and faster path to a mature Intelligent Ops program. Neudesic has deep expertise in leveraging AI to support the business, as demonstrated by its title of Microsoft’s US AI Partner of the Year (POTY) for 2023. With Neudesic’s proven processes, tools, and components, organizations can more quickly implement a valuable and sustainable Intelligent Ops program.

by

What is Intelligent Ops?

Want to learn more? Dive deeper with our comprehensive Intelligent Ops guide.

As artificial intelligence (AI) solutions evolve, more companies are looking to AIOps to streamline their IT (Information Technology) operations. AIOps automatically identifies, triages, and resolves security incidents and other challenges, enhancing IT efficiency.

Yet, many contemporary AIOps tools focus narrowly on IT departments, sidelining broader business needs. Enter Intelligent Ops—a next-generation evolution of AIOps, built on three foundational pillars:

  • AIOps: Integrated monitoring provides precise visibility and control over complex IT infrastructures and incidents.
  • FinOps: In-depth insights and strategic optimization reduce the Total Cost of Ownership (TCO).
  • SecOps: Leveraging AI, cloud integration, and automation ensures swift detection and resolution of security threats.

With Intelligent Ops, enterprises adopt a holistic strategy, using AI and automation to tackle both familiar and unforeseen challenges. In this article, we will delve into how to evaluate and choose the right Intelligent Ops partner for your needs.

What to look for in an Intelligent Ops partner and solution

Implementing an effective Intelligent Ops platform is challenging. It demands time, effort, and significant resources. One study found that the average time to hire an IT position to be around 62 days, with specialist roles, like data scientist taking even longer. Extending the duration of any initiative creates significant risk to a successful outcome.

A practical alternative is partnering with Intelligent Ops experts. They offer experience, expertise, and a suite of established processes and tools. When evaluating potential partners, focus on their Intelligent Ops approach and the solutions they provide.

Evaluating an Intelligent Ops partner

It is crucial to ensure any partner can deliver. But with a nascent area like Intelligent Ops, knowing what to ask can be tricky. Let us delve into some pivotal questions for assessing an Intelligent Ops partner:

  • Multi-Cloud or Hybrid Cloud Support
  • Clear Understanding of AI
  • Support for the Entire Organization
  • Clear Path to Value

Multi-cloud and hybrid cloud support

Currently, 87% of organizations have multi-cloud deployments, and 72% have hybrid clouds bridging on-prem and cloud-based setups. This trend means businesses grapple with a multifaceted and ever-evolving backdrop when integrating AIOps or Intelligent Ops.

Your partner should adeptly support your entire IT framework without introducing silos or added complexity. Here are some questions to get started:

  • Are you cloud-forward? What does that entail? A cloud-forward vendor should articulate a clear cloud-centric product or solution strategy. They must also staff experts across their organization to guarantee top-tier technology adoption.
  • Will one team handle support for multiple cloud environments? Ensure your partner's cloud experts join your implementation team. This inclusion prevents potential delays and silos during the development and setup phases.
  • Can you highlight multi-cloud and hybrid expertise? An apt Intelligent Ops partner has experience in these settings. Discussing partnerships, certifications, and case studies can confirm that a prospective partner is not tethered to a single cloud platform.
  • How swiftly can you deploy in my setup? An experienced partner usually possesses a structured method and toolkit, allowing them to promptly establish an Intelligent Ops initiative within an organization’s distinct IT infrastructure. This approach accelerates and simplifies the deployment phase.

Clear understanding of AI

Your Intelligent Ops partner should have a mature understanding of AI’s capabilities and make the best use of available solutions and its family. For example, if they are well-versed in Azure OpenAI, they should also be able to speak to Azure’s Cognitive Services, Machine Learning, and the rest of the Microsoft Azure platform.

Some key questions to ask might include:

  • What experience do you have in AI? A partner should be able to demonstrate the company's experience and its staff through certifications or qualifications in AI. Even better, a company may have won awards related to its use of AI or has several working proofs of concept to demonstrate potential value.
  • What AI-related specializations do you hold? A partner with the ability to customize and tune models and tools to meet business needs will have data scientists and engineers on staff and working to support their platform.
  • Do you have early access to provider technology? Partners with strong relationships to providers often receive early access to provider technology, such as beta access to Microsoft Fabric. They also frequently act as a crucial feedback channel during the product's development. This gives implementers a deeper understanding of the product and insights into optimizing its use.
  • Can you demonstrate your AI expertise across multiple domains? A partner should be able to demonstrate expertise in infrastructure, data, applications, and operations. Again, ask for case studies, demos, and recommendations from past projects.
  • What questions do you have about my goals and users? A partner should ask questions about your users and their objectives for an Intelligent Ops program. These will be used to define metrics and customize models and rules.
  • What existing patterns and frameworks have you created or used? An experienced partner will be able to accelerate time-to-go-live because they have existing processes and frameworks defined based on experience. A lack of existing tools and processes may indicate a lack of experience and provide limited value beyond a DIY approach.

Support the entire organization

A major limitation of AIOps in its current implementation is its restricted focus. Traditional AIOps primarily zeroes in on identifying potential issues, generating tickets, and running predefined playbooks for automated, scalable remediation.

On the other hand, Intelligent Ops adopts a comprehensive approach, aiming to support the whole organization. When considering a potential partner, you should ask:

  • How do you intertwine FinOps and SecOps with AIOps? Integration should be seamless, offering all capabilities through a single dashboard instead of multiple isolated solutions.
  • What is your method for knowledge sharing? The ideal partner will not only solve issues but also empower you to better navigate your tools and settings. If they only identify and implement a solution, you risk becoming reliant on them for even small adjustments.
  • What is your vision for the client and environment in the long run? Ultimately, an organization should be self-sufficient, steering clear of dependency on any specific vendor.

Clear path to value

Embarking on an Intelligent Ops initiative can span years if done incorrectly. This presents substantial risks related to deployment, ROI (return on investment), and obtaining stakeholder approval. To truly harness the advantages of Intelligent Ops, a transparent and feasible route to its perks is essential.

Make sure to ask:

  • Can you highlight prior experience crafting Intelligent Ops initiatives? Seek out case studies or client references that illustrate their record of accomplishment in tailoring Intelligent Ops to diverse business contexts.
  • Tell me about the tools, people and processes that expedite the implementation. Finding out if they offer an accelerator, a set of repeatable tools, processes, and frameworks, that can accelerate delivery. If you are in a regulated industry, ask if they have subject matter experts to quickly address sticky conversations around PII (Personal Identifiable Information), PCI v4, and others.
  • How do they liaise with stakeholders throughout the company? Given that Intelligent Ops encompasses AIOps, FinOps, and SecOps, understanding their strategy with stakeholders in these domains is crucial.

Security and compliance

Data stands as an enterprise's crown jewel. Equipped with in-depth insights into an IT infrastructure, cyber adversaries can effortlessly pinpoint and leverage potential security voids.

In evaluating a prospective Intelligent Ops ally, it is vital to ascertain their competency in safeguarding data in line with company standards and regulatory mandates. Try posing some of these questions:

  • Tell me about your security protocols. Ask for specifics on their response strategy should a security breach involving your data or system arise.
  • Are you compliant with relevant standards? If they have access to your data, you might bear the onus of verifying compliance with pertinent regulations. It is reasonable to request evidence of certifications such as SOC 2, PCI DSS v4.0, or other pertinent ones.
  • Do you possess the necessary security credentials? For those in stringently regulated sectors, there might be additional prerequisites surpassing general regulatory adherence. For instance, personnel accessing confidential data or enterprise systems might need specific certifications or clearances.
  • What industry-specific requirements should we consider? As discussed above, various industries carry different requirements that may impact your Intelligent Ops implementation. Your partner should be able to speak to these prior to a deployment.

Evaluating an Intelligent Ops Solution

An intelligent Ops solution extends beyond just AIOps, delivering value to the entire business. When evaluating such a solution, ensure it aligns with the three key pillars: AIOps, FinOps, and SecOps, and understand the benefits each pillar provides. Below are some areas to probe when looking at proposed solutions.

  • Streamlined incident remediation
  • Low latency
  • Secure, Compliant Support

Streamlined incident remediation

Intelligent Ops solutions aim to help organizations identify and address potential issues before they escalate. That is great in theory, but how does the solution compare to what is promised? Consider the following questions to help:

  • What does your incident remediation process entail? An Intelligent Ops platform should harness AI, ML (Machine Learning), and integrations to pinpoint issues and suggest remediation steps for review and implementation. What are these and how do they fit together?
  • How do you reduce alert volume and highlight critical issues? A robust Intelligent Ops Platform employs comprehensive monitoring and sophisticated data analytics to detect potential problems, delivering high-quality alerts. By filtering, triaging, and consolidating alerts, the platform aims to decrease alert fatigue.
  • How does your solution factor in resource limitations during incident remediation? An Intelligent Ops solution should recognize system constraints, proposing and executing remediation actions with these limitations in mind. For instance, the capability to swiftly allocate more storage or computing power on a virtualized system might grant additional time to address a memory leak or a similar concern.
  • Does your solution have a UI (User Interface)? Intelligent Ops solutions with chatGPT-like interfaces can simplify related tasks by employing natural language processing (NLP) to articulate the issue and suggest specific remediation steps. For example, they can understand and act upon a malfunctioning SQL index.

Low latency

In dealing with security incidents and other challenges, promptness is essential. The longer an issue persists, the more costly it becomes for the company and its clients.

An Intelligent Ops platform should prioritize minimizing latency during issue identification and remediation. Here are some questions to ponder:

  • How swiftly does the platform address various challenges? Request case studies, demonstrations, or benchmarks that highlight the AI's efficiency in handling prevalent issues.
  • How does the platform rank remediation tasks? It is common for a company to face multiple issues simultaneously. Your prospective partner should have a set criteria for ranking remediation tasks and allow customization to cater to your specific requirements.
  • Is there a designated "express lane" for familiar issues? Ideally, if a problem can be discerned without comprehensive analytics, it should be tackled immediately. Waiting for complete processing could delay the solution and potentially worsen the situation.

Security and compliance (again)

An Intelligent Ops platform has access to a wealth of sensitive information about an organization’s environment. This same data, which can diagnose and rectify issues, can also pinpoint and exploit vulnerabilities.

When assessing Intelligent Ops solutions, prioritize the security of the platform itself. Key considerations include:

  • Is the Intelligent Ops platform in a secure setting? A partner’s platform will access sensitive IT data and execute remediation measures. It must align with your organization’s current data security policies and compliance mandates.
  • Does the platform adhere to standards set for highly-regulated industries? Such industries often impose rigorous stipulations on data and infrastructure hosting locations. For instance, a partner’s environment might need to comply with GovCloud standards.
  • Are third-party data security risks within acceptable limits? Insight into a partner’s security measures is crucial for making a well-informed risk assessment regarding the solution's use. The partner should offer sufficient details to help you gauge if their platform aligns with your risk tolerances, especially when entrusting critical IT data to an external entity.
  • How are access and permissions managed in your solution? No two Intelligent Ops implementations will ever be the same. Ensure your solution has the right levels of access and controls with the systems and users connected to it.

Building an Intelligent Ops program with Neudesic

Neudesic’s Intelligent Ops Accelerator and experts helps organizations leapfrog their current state to Intelligent Ops. It is why Neudesic earned the title of Microsoft’s US AI Partner of the Year (POTY) for 2023. 

The Neudesic Intelligent Ops Accelerator harnesses Neudesic’s proficiencies and pre-existing solutions, adapting them to suit an organization’s unique environment and business objectives. This accelerator empowers organizations to swiftly automate deployments via Infrastructure as Code (IaC) and supports an array of solutions, including ServiceNow and DataDog, to feed data into Neudesic’s Intelligent Ops platform. Drawing on this data, users can engage with the platform in natural language and obtain automated notifications and remediation recommendations for detected concerns. 

Neudesic’s Intelligent Ops Accelerator enables businesses to seamlessly establish a top-notch Intelligent Ops program. For additional details about the program and the next steps to embark on this journey, contact us. 

by

Want to learn more? Dive deeper with our comprehensive Intelligent Ops guide.

Currently, an estimated 30% of companies are actively using AIOps, a technology focused primarily on IT automation and incident remediation, with another 44% taking steps to implement it, according to Statista. These enterprises are tapping into AI (Artificial Intelligence) and ML (Machine Learning) to refine manual workflows and bolster business operations.

Yet, as AI continues to advance, its potential applications have expanded. This brings us to Intelligent Ops. At Neudesic, we view Intelligent Ops as the natural progression from AIOps. It encompasses not only IT automation but also provides holistic business solutions, powered by the latest AI innovations.

What Exactly is AIOps?

AIOps stands for "Artificial Intelligence for IT Operations". It pertains to the improvements in IT operations made possible through data analytics, machine learning, and AI. Organizations use AIOps to monitor their IT infrastructure, automate routine tasks, and respond to security incidents using established playbooks more effectively.

While AIOps has indeed revolutionized IT automation, its purview is still somewhat restricted. It is centered around pre-set playbooks, ticket management, and a specific concentration on security automation. These limitations present themselves in many ways:

  • Reliance on Human Intervention: Although AIOps aims to amplify efficiency with intelligent automation, it frequently depends on playbooks crafted by humans. This confines the extent to which AIOps can support IT departments.
  • Excessive Ticket Clutter: A common trait of AIOps platforms is their emphasis on generating, managing, and resolving tickets for IT issues. Trying to simplify intricate systems into mere ticketed items might overlook vital details, leading to decisions that might not align with the broader business objectives.
  • Lack of Data Integration: AIOps relies on data from various sources, and integrating this data can be challenging. Different data formats, sources, and APIs can make it difficult to aggregate information for end-to-end observability.

Going beyond AIOps: Intelligent Ops

Intelligent Ops takes AIOps a step further to develop processes, tools, and systems that support the entire business, rather than focusing primarily on IT automation and incident remediation. While AIOps is centered on IT automation, Intelligent Ops extends a more comprehensive view, integrating the three fundamental pillars of IT operations:

  • AIOps: Integrated and pervasive monitoring amplifies visibility and command over intricate IT landscapes.
  • FinOps: Detailed visibility and control curtail the Total Cost of Ownership (TCO) through strategic optimization.
  • SecOps: Advanced AI and embedded cloud services expedite the identification and resolution of IT and security incidents.

Consider a scenario where an organization is developing a new internal tool. This heaps significant work— like building the development environments they create, defining access controls, and managing the development and deployment environments—and risk on the operational and product teams.

Intelligent Ops offers the opportunity to streamline and automate this process:

  • AIOps: Use Infrastructure as Code (IaC) to automate the creation and configuration of development environments based on trusted configurations.
  • SecOps: Automate the creation and governance of accounts on the platform, while maintaining continuous reporting of anomalies and potential security risks.
  • FinOps: Clearly define, monitor, and uphold budgets, ensuring the platform operates in a manner that optimizes ROI (return on investment) for the enterprise.

Performing these tasks manually is resource intensive, and AIOps only addresses part of the picture. Intelligent Ops offers an automated, coordinated approach, enabling the organization to achieve more consistent visibility and derive insights and benefits from the additional context.

Understanding the benefits of Intelligent Ops

Intelligent Ops is transforming the enterprise landscape, especially when it comes to amplifying the customer experience. Its significance can be seen in three primary areas: improved efficiency, bolstered security, and increased reliability.

Increased Efficiency

At its core, Intelligent Ops integrates machine learning and intelligent automation across the entirety of a business, not just a specific segment. It gathers data from the vast reaches of an organization’s IT environment, sifting through to spot trends, anomalies, and other pertinent insights. The results of this analysis are conveniently accessible to Ops teams through a user-friendly interface like ChatGPT.

By expanding the focus beyond AIOps to incorporate FinOps and the organization’s business cases, Intelligent Ops provides a few benefits to any organization, including:

  • Reduced OpEx: Intelligent Ops provides operations teams with the visibility and context required to identify inefficiencies and unnecessary redundancy in complex IT systems. This enables them to streamline processes to reduce cloud spending.
  • Sustainable computing: There is an environmental edge, too. Intelligent Ops can also enable organizations to make progress toward their sustainability goals. By eliminating redundancy and inefficiencies, companies can decrease their infrastructure and carbon footprint by reducing or eliminating the estimated 32% wasted compute in-cloud environments.

Consider this: traditional on-prem data centers commonly operate at 20-40% utilization. By tracking historical patterns of resource utilization, Intelligent Ops can provide suggestions on how to optimize resource utilization. This includes eliminating or consolidating unused or underutilized resources and maintaining a shared pool of resources for on-demand scaling rather than overprovisioning to protect against sudden surges.

Enhanced security

Much like AIOps, a significant aspect of Intelligent Ops is enhancing an organization’s incident detection and subsequent response, however, takes it a step further. It is always on the lookout, monitoring for potential hiccups within the IT realm, and is even equipped to draft and roll out remediation strategies.

This proactive approach to security can help to improve an organization’s cyber threat exposure and security maturity in several ways, including:

  • Threat prevention: Intelligent Ops proactively identifies potential future threats – including both known and unknown issues – and draws attention to them. This helps security teams to address the issue – with the help of intelligent automation – before it becomes a real problem.
  • Simplified root cause analysis: Determining the root cause of an IT issue or security incident is essential to addressing the problem and preventing recurrence. Intelligent Ops uses AI to analyze data, providing an efficient way to identify the root cause of known and unknown issues.
  • Enhanced security visibility: With an interface that echoes ChatGPT, Intelligent Ops presents all an organization’s security data in a digestible format. This interactive setup empowers security professionals, allowing them to make straightforward queries and receive comprehensive answers, enhancing their understanding of the security landscape.

Consider another scenario where an IT leader at a Fortune 5000 company receiving an alert from their Intelligent Ops system about an unusual access pattern on their primary data server. Instead of flagging this anomaly, the system – drawing on proprietary SecOps principles – starts a deeper analysis. It swiftly discerns a correlation between the observed pattern and a recently documented exploit technique.

Without needing human authorization, the Intelligent Ops system autonomously initiates a recommended remediation protocol. The anomaly is promptly resolved. Following this, the system generates a comprehensive analysis of the root cause, equipping the IT team with the insights needed to further fortify their infrastructure.

Greater Reliability

Intelligent Ops provides organizations with the tools to proactively identify and correct issues in their IT environments. This enhances the reliability of IT systems by preventing potential issues from growing into major problems.

Here are some standout benefits that Intelligent Ops provides:

  • Proactive issue remediation: Proactively identifying potential issues allows Ops teams to address them before they become a major problem. This is faster, easier, and less expensive than remediating a full-blown outage or cybersecurity incident.
  • Decreased remediation time: With its capability to offer remediation suggestions and automated support, Intelligent Ops trims down the Mean Time to Remediation (MTTR), mitigating the financial and operational impacts of incidents. This further prevents potential problems from spiraling into larger, more disruptive challenges for businesses.
  • Greater customer satisfaction: Improved reliability means that an organization’s services are available when customers need them. Intelligent Ops enhances customer satisfaction and reduces the risk of penalties due to broken service level agreements (SLAs).

Where AIOps might address a segment of the operations picture, Intelligent Ops provides the comprehensive building blocks essential for sourcing, processing, and analyzing telemetry data across all workloads using state-of-the-art AI/ML platforms.

AIOps-and-intelligent-ops-maturity-model-1

As a result, teams can focus on fixing the underlying issues before they grow into major incidents and outages. These foundational building blocks are modern, modular, and chainable, giving organizations the power to choose and customize the AI Ops capabilities that are best suited to their needs.

Making the Move to Intelligent Ops

Neudesic’s Intelligent Ops Accelerator enables organizations to make the move from no-AIOPs to Intelligent Ops quickly. Our methodologies and expertise, perfected over a 21-year partnership with Microsoft, have garnered acclaim, most notably as Microsoft’s 2023 US AI Partner of the Year.. 

Neudesic Intelligent Ops Accelerator enables organizations to develop and implement a top-tier Intelligent Ops program in a fraction of the time. To learn more about the Intelligent Ops Accelerator and how to get started, contact us. 

by

As corporate IT infrastructures expand and become more interconnected, operations and security teams often struggle to keep pace. Complex infrastructures frequently lead to inefficiencies and increased costs, and cyberattacks can go unnoticed. While AIOps offers solutions to these challenges, a Gartner survey indicates that 46% of IT leaders are unclear about the benefits of AIOps.

Neudesic is thrilled to introduce the Intelligent Ops Accelerator. Drawing on our extensive experience managing Azure environments, this accelerator helps organizations swiftly establish a robust AIOps strategy that's both sustainable and adaptable to changing business needs. Rather than solely emphasizing incident detection and response, the Intelligent Ops Accelerator showcases how AI and automation can optimize operations and deliver concrete business value.

Taking AIOps to the next level with Intelligent Ops

The main objective of AIOps is to augment operations through AI and automation. Typically, AIOps is associated with automating security tasks like identifying potential breaches, performing root cause analyses, and initiating remediation. This method starts by instrumenting every component, letting AIOps aggregate events that feed into the organization's ticketing system, where a predefined workflow is executed. While this method utilizes AI and automation to bolster IT operations, it requires human intervention to dictate actions and often neglects a broader business perspective.

Neudesic moves beyond the traditional definition of AIOps to a more holistic approach, called Intelligent Ops. Intelligent Ops incorporates three main areas of focus:

  • AIOps: Comprehensive observability to enhance monitoring and management of intricate systems.
  • FinOps: Better Total Cost of Ownership (TCO) through detailed visibility and operational optimization.
  • SecOps: Boosted IT security using Azure's native services for prompt incident detection and resolution.

Overcoming today’s biggest IT challenges with Intelligent Ops

Operations teams are often burdened with overseeing expanding, multifaceted environments with finite resources and staff. Consequently, these teams face several shared challenges:

  • Growing costs: Expanding cloud infrastructures can become prohibitively expensive.
  • Regulatory and security compliance risk: Navigating the constantly shifting regulatory and security terrains is increasingly arduous.
  • Inefficient processes: Standalone solutions that don't integrate well with existing workflows add overhead and restrict IT teams.
  • More disruptive incidents: Identifying and addressing security breaches often takes months, not merely days or hours. The intricacy of IT setups and a lack of comprehensive oversight can obscure root causes.
  • Overlooked issues: The deluge of alerts and tickets from various tools can swamp analysts, causing genuine threats to go unnoticed.

What is the Intelligent Ops Accelerator?

AIOps holds the potential to resolve an organization's operational challenges, facilitating smoother and more reliable functioning. However, conceptualizing and launching an AIOps initiative can be daunting.

The Neudesic Intelligent Ops Accelerator is a framework that employs AI and machine learning to refine IT operations. Instead of starting from scratch, businesses can utilize a suite of reusable assets to rapidly roll out AIOps in their Azure setup. This accelerator allows for a customized Intelligent Ops blueprint to be implemented and tailored in just a few weeks.

Neudesic’s Intelligent Ops Accelerator empowers businesses to promptly institute a sophisticated AIOps system, streamlining myriad IT tasks by offering:

  • Conversational interaction: The accelerator features a chatGPT-like interface, enabling users to interact with their IT systems effortlessly.
  • Proactive security: SecOps proactively identifies and alerts potential threats before they escalate.
  • Automated scalability: AIOps automation liberates IT staff to tackle other organizational hurdles.
  • Rapid Incident response: Continuous surveillance and automated solutions ensure immediate incident management.

Following this, organizations can migrate to Neudesic’s sustained engineering model, which offers ongoing solutions to intricate issues and automation throughout their enterprise. With the necessary infrastructure established, Neudesic clients can further diversify into other applications and workloads, emphasizing perpetual enhancement and optimization in alignment with business evolution.

Embrace AIOps quickly with Neudesic’s Intelligent Ops Accelerator

Neudesic has built upon AIOps to harness the full potential of AI, fostering more streamlined and resilient operations. Our methodologies for overseeing Azure environments are time-tested, thanks to our 21-year affiliation with Microsoft and our recognition as Microsoft’s 2023 US AI Partner of the Year.

Neudesic's new Intelligent Ops Accelerator provides enterprises an avenue to commence and nurture a top-tier AIOps strategy in a fraction of the usual time. To discover more and start your journey, contact us.

Azure VMware Solution:
Cloud Made Easy

Built in partnership with:

Migrate and modernize your VMware
workloads to Azure

Learn More

Accelerate Cloud Transformation with
the Power of AVS and Neudesic

Bringing together the best of VMware and Microsoft, AVS enables organizations to move to the cloud faster by extending or migrating on-prem VMware environments to Azure – while offering enhanced agility, scalability, and security.

AVS offers the flexibility to modernize at your own pace, while building on existing skills and processes with integrated benefits including security, continuity, and scale.

As Microsoft’s 2023 Global Partner of the Year Award Winner for Migration to Azure and a top 5 global Microsoft partner, Neudesic’s technical experts ensure a seamless Azure migration with confidence and speed.

Features

Accelerate cloud migration with a seamless lift-and-shift approach for your existing VMware environments.
AVS lets you migrate and run VMware natively on Azure while taking advantage of your existing VMware investments.
Gain the speed, scale, efficiency and innovation that Azure offers.

icon-study

AVS Use Cases:

  • Disaster Recovery | Business Continuity
  • Reduce Data Center Footprint
  • Desktop Virtualization in Cloud
  • Cloud Bursting
  • Application Modernization
icon-key-benefits

Key Benefits of AVS:

  • Minimal to no business disruption - migrate existing assets as-is
  • No loss in productivity – leverage existing tools and skill sets
  • Reduce ongoing licensing and infrastructure costs
  • Improved security

Recommendations Related to AVS

AVS One-Sheet

One-Sheet

Azure VMware Solution (AVS)

Accelerate your cloud journey by seamlessly migrating your VMware workloads from your datacenter to Azure.

READ NOW >
previous arrowprevious arrow
next arrownext arrow

Get Started with AVS

Let Neudesic help guide your migration and modernization journey to maximize your organizational investments and reduce overall time to value.

Contact Us

Let's Talk

Neudesic's
Intelligent Ops Accelerator

Built in partnership with:

Harness AI-powered insights to transform your IT operations with enhanced efficiency and increased reliability

Request a Demo

eBook Download:

Beyond AIOps: Understanding the Power of Intelligent Operations

Download

eBook Download:

Beyond AIOps: Understanding the Power of Intelligent Operations

Download

Neudesic's Intelligent Ops Accelerator is aligned with Microsoft best practices and powered by the OpenAI platform.

We empower organizations to swiftly detect issues in real time and expedite incident resolutions utilizing AI/ML models. Our accelerator automates workbooks and tasks to eliminate manual operations and supports managing ticket complexity with its ticket orchestration engine. Neudesic leverages Azure security and monitoring services to ensure seamless end-to-end visibility of infrastructure operations and application platforms. Driven by automation and artificial intelligence, our Intelligent Ops Accelerator detects and responds to security incidents promptly.

icon-data-security

Enhanced IT Security
Through SecOps
Leverage Azure native services to enable organizations to quickly respond and remediate issues

icon-observe

End-to-End
Observability with AIOps
Providing a comprehensive solution to monitor and maintain complex systems while aggregating and orchestrating events across the platform

icon-deployment

Improved Total Cost of
Ownership with FinOps
Leverage AI to gain insights into your Azure solution costs and impacts, enabling your organization to focus on innovation

Our End-to-End Approach for Intelligent Ops

Entry Point: New to AIOps
Instrument Everything
Baseline & Recommendations
Automation & Remediation
Intelligent Ops
Entry Point: New to AIOps
Initially establishing and leveraging cloud services across one or more subscriptions without specific guidance or a strategic approach.
approach-1-entry-point-mobile

Entry Point: New to AIOps

Initially establishing and leveraging cloud services across one or more subscriptions without specific guidance or a strategic approach.

approach-2-instrument-everything-mobile

Instrument Everything

The initial stage of AIOPS leveraging Azure native services to initiate data collection from various services.

approach-3-baseline-and-reccs-mobile

Baseline & Recommendations

Utilizing acquired data for decision-making and establishing operational baselines as a foundation for further growth and development.

approach-4-automation-remediation-mobile

Automation & Remediation

Automating processes identified as common patterns and tasks performed by the team to generate reports efficiently.

approach-5-intelligent-ops-mobile

Intelligent Ops

Deploying an autonomous cloud platform to deliver quick resolution, rapid prototyping, and orchestration without requiring intervention from engineers.

Intelligent Ops Accelerator Attributes

icon-video-tutorial

Explainability
Get explanations of how AI arrived at a particular decision or recommendation.

icon-automation

Automated Insights
Generate insights and recommendations automatically based on the ML model outputs.

icon-data-collection

Data Ingestion
Ingest data from various sources like logs, metrics, and events.

icon-debugging

Adaptive Remediation
Take automated or recommended actions based on insights to self-heal or optimize.

icon-analytics

Machine Learning Actions
Apply machine learning algorithms on ingested data to detect anomalies, correlations, and predictions.

Contact Us

Let's Talk

Neudesic's
Databricks Lakehouse Accelerator

Built in partnership with:

Level up your business insights with
pre-configured cloud analytics solutions
deployed end-to-end in less than 30 days.

Request a Demo

Take the Next Steps Toward
End-to-End Enterprise Data Modernization

Neudesic's Databricks Lakehouse Accelerator makes it faster and simpler for organizations to use real-time data. Using a special framework based on Azure Databricks Lakehouse, it addresses tough data challenges to help customers process a lot of data quickly and safely, leading to better, faster decisions.

icon-data-security

Data Governance with Unity Catalog
Provides cataloging and lineage capabilities throughout the metadata-driven data process

icon-observe

60% Faster Time to Business Value
Accelerate proof of concepts

icon-deployment

50% Faster Initial Deployment
Pre-built configurations with CI/CD-enabled deployment framework

Delivery Process

In Discovery and Design, we meticulously define project objectives, data sources, and implementation plans. During the Develop phase, our expert team transforms these plans into reality, while the Deliver phase’s rigorous testing, performance assessment, and comprehensive documentation ensures a seamless project handoff.

diagram, data lakehouse delivery process. 1. Discovery and Design 2. Development 3. Deliver

Discovery and Design

  • Identify use cases and data sources
  • Define success criteria and measurable objectives
  • Create implementation plan
  • Set up environment

Develop

  • Implement architecture
  • Transform data and validate quality
  • Gather stakeholder and user feedback
  • Test proof of concept

Deliver

  • Assess operational dashboards
  • Review performance and scalability
  • Provide written outcomes, lessons, and improvements
  • Provide documentation and training
icon-discovery

Discovery and Design

  • Identify use cases and data sources
  • Define success criteria and measurable objectives
  • Create implementation plan
  • Set up environment
icon-design-black

Develop

  • Implement architecture
  • Transform data and validate quality
  • Gather stakeholder and user feedback
  • Test proof of concept
icon-develop-black

Deliver

  • Assess operational dashboards
  • Review performance and scalability
  • Provide written outcomes, lessons, and improvements
  • Provide documentation and training

Key Benefits

icon-enterprise-solution

Enterprise Grade Solution

  • Pipeline automation
  • Logging capabilities across resources
  • Built-in monitoring, alerts, and notifications
icon-automation

Automation and Efficiency

  • Metadata-driven platform deployment
  • Infrastructure-as-Code- related pipeline automation
icon-data-governance

Security and Compliance

  • Databricks Unity Catalog
  • Central repository to control access to data

Recommendations Related to Databricks Lakehouse Accelerator

cs: anon insurance
Healthcare eBook - Unlocking Intelligence

Case Study

DTE Energy

Deploying a Next Generation Data Platform Provides Big Gains in Energy Theft Reduction, Customer Satisfaction, and Operational Growth.

Read Case Study
previous arrowprevious arrow
next arrownext arrow
Request a Demo

Request a Discovery Call

by

Irvine, CA, United States — June 28, 2023 — Today, Neudesic announced it has been awarded the 2023 MSUS AI Partner of the Year and additionally named a finalist for Global AI Partner of the Year. This recognition reflects Neudesic’s track record in helping clients successfully scale artificial intelligence initiatives, leveraging Neudesic’s award-winning AI accelerators across diverse use cases. The company was honored among a global field of top Microsoft partners for demonstrating excellence in innovation and implementation of customer solutions based on Microsoft technology.

“Neudesic takes pride in our mission to be the global leader in business innovation. This award is a testament to our visionary thinking to deliver and manage world-class business and technology solutions that help our clients thrive in a cloud-first, data-driven world,” said Ashish Agarwal, CEO of Neudesic. “We are fortunate to have worked side by side with Microsoft over the past two decades, and our team of world-class AI experts has been instrumental in driving business impact for our shared clients. We are honored to be recognized among the pool of distinguished nominees in Microsoft’s partner network.”

The Microsoft Partner of the Year Awards recognize Microsoft partners that have developed and delivered outstanding Microsoft-based applications, services, and devices during the past year. Awards were classified in various categories, with honorees chosen from a set of more than 4,200 submitted nominations from more than 100 countries worldwide. Neudesic, an IBM Company was recognized for providing outstanding solutions and services in Artificial Intelligence for Microsoft Azure.

“Congratulations to the winners and finalists of the 2023 Microsoft Partner of the Year Awards!” said Nicole Dezen, Chief Partner Officer and Corporate Vice President of Global Partner Solutions at Microsoft. “The innovative new solutions and services that positively impact customers and enable digital transformation from this year’s winners demonstrate the best of what’s possible with the Microsoft Cloud.”

Neudesic has a proven track record of delivering AI solutions and strategies that help organizations maximize their investments in transformative business initiatives with repeatable IP including:

  1. Neudesic’s Document Intelligence Platform  – enables organizations to apply AI and intelligent OCR to document-intensive workflows, replacing the manual and time-consuming process of extracting data from business documents.
  2. Neudesic’s Data & AI Platform – provides organizations the fastest path for deploying a modern data and AI platform, including pre-built code for integrating data sources, building data models, data governance, and predictive analytics.
  3. Neudesic’s Azure OpenAI Jumpstart Workshop – This is an innovation workshop that accelerates both the ideation and design of high-value AI use cases
  4. Neudesic’s Azure OpenAI Enterprise Generative AI Workbench – Give clients the power of responsible ChatGPT-like generative AI experience through a secure and compliant workbench.

Neudesic’s most recent Data & AI projects and client successes include:

Powered by Microsoft Azure AI, Neudesic’s Document Intelligence Platform Transforms Animal Supply Co.’s Outdated Vendor Invoicing Process saving them $500k annually.

Animal Supply Co. was losing time and money with a tedious manual invoicing process that required staff to look up invoices and compare them against purchase orders and receipts one by one. To automate this process Neudesic deployed its Document Intelligence Platform (DIP), which is powered by Microsoft Azure AI, on the company’s national ERP. This, in turn, enhanced productivity and efficiency gains by removing manual document processing tasks from their workflows and improved vendor relationships. This led to $500K annually in cost savings and ROI within the first 12 months.

Neudesic Helps a Large Professional Services Company Overhaul a Costly Invoice Process with our Document Intelligence Platform on Azure AI

A US-based professional services company was processing roughly 1M invoices for non-enabled suppliers annually, which meant tapping resources to manually enter invoices into the accounts payable system. Neudesic successfully combined the ability of our AI-powered Document Intelligence Platform and Power Platform to achieve 80% accuracy in capturing high-priority fields from invoice images and PDFs via a mobile PowerApps Canvas App. The client can now modernize the service experience with a sleek mobile app that increases business process agility.

A National Engineering Company optimizes Client Services with Neudesic’s Document Intelligence Platform (DIP) saving them $3M+ in labor costs

A national engineering and architecture company intervened to help a client with a massive record digitization project. The project proved to be extremely time- and resource-intensive, taking six years and deploying more than 20+ resources to process 27,000 documents. ​To streamline the service offering Neudesic deployed the Document Intelligence Platform in order to automate document scanning. Saving $3M in labor costs and increasing processing ability from 4,500 to 1M+ documents/year.

“Neudesic is thrilled to be recognized by Microsoft for our commitment to helping organizations drive business value with AI,” said Mike Graff, Neudesic’s Vice President of Alliances. “We have an amazing co-selling and teaming approach with Microsoft, and we look forward to driving incredible value to our clients together in the years to come.”

The Microsoft Partner of the Year Awards are announced annually prior to the company’s global partner conference, Microsoft Inspire, which will take place on July 18-19, 2023, Microsoft Partner of the Year Awards Press Release Guidelines 5 Classified as Microsoft Confidential this year. Additional details on the 2023 awards are available on the Microsoft Partner blog: https://aka.ms/POTYA2023_announcement. The complete list of categories, winners, and finalists can be found at https://partner.microsoft.com/en-US/inspire/awards/winners.

 

About Neudesic

Neudesic, an IBM company, is the trusted technology partner in business innovation, delivering impactful business results to clients through digital modernization and evolution. Our consultants bring business and technology expertise together, offering a wide range of cloud and data-driven solutions, including custom application development, data and artificial intelligence, and comprehensive managed services. Founded in 2002, Neudesic is headquartered in Irvine, California. To learn more, visit www.neudesic.com.

For additional information, contact:
Colin Dvorak
Marketing Manager, Data & AI, Alliances & Marketing
colin.dvorak@neudesic.com

 

by

June 28, 2023 – This recognition reflects Neudesic’s track record in helping clients successfully scale AI initiatives, leveraging our award-winning AI accelerators across a diverse set of use cases.

by

IRVINE, CA, United States — June 27, 2023 — Neudesic, an IBM Company, today announced it has won the 2023 Microsoft Global Migration to Azure Partner of the Year Award. The company was honored among a global field of top Microsoft partners for demonstrating excellence in innovation and implementation of customer solutions based on Microsoft technology.

“Neudesic takes pride in our mission to be the global leader in business innovation. This award is a testament to our visionary thinking to deliver and manage world-class business and technology solutions that help our clients thrive in a cloud-first, data-driven world,” said Ashish Agarwal, CEO of Neudesic. “We are fortunate to have worked side by side with Microsoft over the past two decades, and our team of world-class migration experts has been instrumental in driving business impact for our shared clients. We are honored to be recognized among the pool of distinguished nominees in Microsoft’s partner network.”

The Microsoft Partner of the Year Awards recognize Microsoft partners that have developed and delivered outstanding Microsoft-based applications, services and devices during the past year. Awards were classified in various categories, with honorees chosen from a set of more than 4,200 submitted nominations from more than 100 countries worldwide. Neudesic was recognized for providing outstanding solutions and services in Migrations to Azure.

The Migration to Azure Partner of the Year Award recognizes a partner that excels in delivering outstanding solutions for accelerating customer migration to the cloud. From helping customers access their existing environment, planning their migration/modernization of infrastructure, databases and application workloads, to accelerating adoption of Azure at scale. With an end goal of improving business outcomes, increasing customer value, and helping companies drive their business forward.

Neudesic has a proven, successful track record of providing repeatable solutions that enable organizations to leverage cloud solutions resulting in increased scalability and flexibility, delivered with speed and security.  Our winning nomination was for a retail client who was in the early stages of their cloud modernization journey.  Working closely with the Microsoft team, we accelerated retail innovation and streamlined operations by leveraging our repeatable migration framework solution – Neudesic Cloud Factory. The strategy and initial execution on this multi-phased project delivered more than 150 workloads being migrated from an on-prem environment into Azure (with more to come!) and realized cost savings totaling $2M to date.

“Congratulations to the winners and finalists of the 2023 Microsoft Partner of the Year Awards!” said Nicole Dezen, Chief Partner Officer and Corporate Vice President of Global Partner Solutions at Microsoft. “The innovative new solutions and services that positively impact customers and enable digital transformation from this year’s winners demonstrate the best of what’s possible with the Microsoft Cloud.”

“Neudesic is thrilled to be recognized by Microsoft for our commitment to helping organizations drive business value in the Microsoft cloud,” said Mike Graff, Neudesic’s Vice President of Alliances. “We have an amazing co-selling and teaming approach with Microsoft, and we look forward to driving incredible value to our clients together in the years to come.”

The Microsoft Partner of the Year Awards are announced annually prior to the company’s global partner conference, Microsoft Inspire, which will take place on July 18-19 this year. Additional details on the 2023 awards are available on the Microsoft Partner blog: https://aka.ms/POTYA2023_announcement. The complete list of categories, winners and finalists can be found at https://partner.microsoft.com/en-US/inspire/awards/winners.

To learn more about our Cloud Infrastructure Services, click here.

To see a list of our service offerings – including the Neudesic Cloud Factory – on Azure Marketplace, click here.

About Neudesic, an IBM Company
Neudesic, an IBM Company, is the trusted technology partner in business innovation, delivering impactful business results to clients through digital modernization and evolution. Our consultants bring business and technology expertise together, offering a wide range of cloud and data-driven solutions, including custom application development, data and artificial intelligence, and comprehensive managed services. Founded in 2002, Neudesic is headquartered in Irvine, California. To learn more, visit www.neudesic.com.

For additional information, contact:

Nada Ungvarsky
Sr. Manager, Marketing & Alliances – Cloud Infrastructure Services
nada.ungvarsky@neudesic.com

CONTACT US