The Essential Tools to Support Digital Transformation - Part 3
May 09, 2018
Share this

APMdigest asked experts from across the IT industry — from analysts and consultants to users and the top vendors — for their opinions on the essential tools to support digital transformation. Part 3 covers analytics, AI and machine learning.

Start with The Essential Tools to Support Digital Transformation - Part 1

Start with The Essential Tools to Support Digital Transformation - Part 2

Advanced IT Analytics (AIA)

While there are many critical areas of technology innovation currently evolving in IT, the most powerful and transformative are advanced analytic capabilities, often integrated with insights into service (application/infrastructure) interdependencies. What EMA calls advanced IT analytics (AIA), and many in the industry call "AIOps," is an arena of fast-paced innovation in many dimensions, with diverse options for investment, and benefits ranging from improved IT-to-business alignment, improved business performance, dramatic values in toolset consolidation and unifying IT, as well as core strengths in dramatic reductions in mean-time-to-repair, as just some examples. Whether AIA can properly be called a tool or not, it typically helps to assimilate many different toolsets into a new, cross-domain layer designed for proactive rather than reactive IT management and planning.
Dennis Drogseth
VP of Research, Enterprise Management Associates (EMA)

Artificial intelligence (AI)

Artificial intelligence (AI) is becoming a mission-critical tool to support digital transformation. New development platforms like cloud and microservices enable enterprises to reach new market opportunities faster. On the flip side, more than three-quarters of CIOs around the world believe these new applications are so complex that IT is becoming almost unmanageable. As many small teams work together, getting consistent end-to-end visibility is more challenging, but also more important. Many companies try to solve this problem by growing their operations team, leading to a higher time investment and eventually increased costs. When looking at the problem more closely, it becomes obvious that most time is spent in analyzing data in the context of the impact on the business. This is where artificial intelligence (AI) can help. AI-based systems can find the root cause of problems in milliseconds no matter how complex a system, ultimately resolving application problems before customers are impacted. The next step is to use AI-based virtual assistants, which understand natural language and can provide actionable answers to complex digital performance questions in real-time. And, by simplifying conversations that can be held over voice or chat, AI help expand the use of operational data beyond IT experts.
Alois Reitbauer
Chief Technology Strategist, Dynatrace

MACHINE LEARNING

The most important tool to support digital transformation is a modern, scalable, and fast data analytics platform with machine learning built-in. Unencumbered by legacy databases, digital economy companies disrupt traditional industries with agile approaches and modern, open analytical platforms to derive insight from heavy volumes of data right now — and not later after they have missed their opportunity. Traditional industry players are equally data driven, moving as quickly as they can to modernize their data warehouses and analytical stores and avoid disruption and minimize customer churn. Start-ups with fresh rounds of funding and 100-year old banks each understand a modern data analytical platform with machine learning built-in is imperative to digital transformation.
Jeff Healey
Senior Director of Vertica Product Marketing, Micro Focus

KPI ADVANCEMENT TOOLS

A company's ability to differentiate and win now rests largely on how expeditiously they can respond to changing business needs by rolling out high-performing, innovative online products and services. Businesses need highly productive development teams that excel across three areas: quality, velocity and efficiency. Development leaders need KPI advancement tools leveraging empirical data to guide smart decisions that drive improvements in all of these areas. Many organizations continue to rely heavily on mainframe processing. Therefore, digital transformation requires tools that go beyond just integrating the mainframe more fully into developer environments, to actually amplifying developer productivity on the platform.
Sam Knutson
VP of Product Management, Compuware

WORKSPACE ANALYTICS

The most important tool that an organization needs to drive digital transformation is access to workspace analytics. To improve the performance of its end users, an organization must have visibility into how issues experienced at the endpoint are impacting productivity. Analytics can link client-side end-user facing data regarding VDI sessions with the usage of guest resources within infrastructure environments. This collected data can then be tied back into the VDI session, presenting IT with telemetry they can then use to monitor, analyze and optimize endpoint performance within their end-user computing environments.
Simon Clephan
VP of Business Development and Strategic Alliances, IGEL

monitoring integration as a service (MIaaS)

Digital transformation has the tendency to create monitoring blind spots. You've got one foot in the cloud, one foot on prem. You're wading into DevOps and real-time analytics. You need something that's going to bring it all together for you. That's why I recommend a monitoring integration as a service (MIaaS) platform.
Moria Fredrickson
Director of Marketing, Blue Medora

Read The Essential Tools to Support Digital Transformation - Part 4, covering communication and collaboration.

Share this

The Latest

March 02, 2021

The Model T automobile was introduced in 1908 ... Within a few years, competitors arrived on the scene including relic names such as Overland, Maxwell, and names that survived like Buick and Dodge. So, what does this have to do with the hybrid cloud market? From a business perspective — a lot ...

March 01, 2021

DevOps Institute announced the launch of the 2021 SRE Survey in collaboration with Catchpoint and VMware Tanzu. The survey will result in a more in-depth understanding of how SRE teams are organized, how they are measured, and a deep dive into specific automation needs within SRE teams ...

February 25, 2021

Organizations use data to fuel their operations, make smart business decisions, improve customer relationships, and much more. Because so much value can be extracted from data its influence is generally positive, but it can also be detrimental to a business experiencing a serious disruption such as a cyberattack, insider threat, or storage platform-specific hack or bug ...

February 24, 2021

Previously siloed IT teams and technologies are converging as enterprises accelerate their modernization efforts in reaction to COVID-19, according to a study by LogicMonitor ...

February 23, 2021

You surf the internet, don't you? While all of us are at home due to Covid lock-down and accepting a new reality, the majority of the work is happening online. IT managers are looking for tools that can track the user digital experience. Executives are reading a report from Gartner or Forrester about some of the best networking monitoring solutions available on the market. Project managers are using Microsoft Teams online to communicate and ensure team members are meeting deliverables on time. Remote employees everywhere use OWA to check their office mails. No matter what, you can be quite sure that everyone is using their favorite browser and search engine for connecting online and accomplish tasks ...

February 22, 2021

With the right solutions, teams can move themselves out of the shadows of error resolution and into the light of innovation. Observability data, drawn from their systems and imbued with context from AI, lets teams automate the issues holding them back. Contextualized data and insights also give them the language to speak to the incremental, product-led approach and the direction to drive key innovations in customer experience improvement. Communicating value becomes a much easier proposition for DevOps practitioners — and they can take their seat at the company table as contributors to value ...

February 18, 2021

Prediction: Successful organizations will blur (or erase) the line between ITOps and DevOps. DevOps has to coexist with traditional IT operations ... So bring a little DevOps to every aspect of IT operations. You don't even have to call it DevOps ...

February 17, 2021

The use of unified communications and collaboration (UC&C) solutions has increased since the start of the pandemic, and this increased use has created challenges for IT teams, according to a survey commissioned by NETSCOUT SYSTEMS ...

February 16, 2021
The AI+ITOPS Podcast just hit the 10K + download mark early this month. Most people listen to entire episodes, and many engage with us by sending a note on LinkedIn, Twitter, a direct email asking questions, clarifications, strategy advice, product selection advice ...
February 11, 2021

Cloud-based innovations like microservices, containers and orchestration let developers code better, faster, but the underlying infrastructure becomes dynamic and ephemeral, and service-level interactions are hard to see. It’s a critical evolution, but the rapid change reduces visibility, predictability and control. Hence, observability ...