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.
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.
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.
Chief Technology Strategist, Dynatrace
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.
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.
VP of Product Management, Compuware
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.
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.
Director of Marketing, Blue Medora
Read The Essential Tools to Support Digital Transformation - Part 4, covering communication and collaboration.
As a Network Operations professional, you know how hard it is to ensure optimal network performance when you’re unsure of how end-user devices, application code, and infrastructure affect performance. Identifying your important applications and prioritizing their performance is more difficult than ever, especially when much of an organization’s web-based traffic appears the same to the network. You need insight to maximize performance — not inefficient troubleshooting, longer time to resolution, and an overall lack of application intelligence. But you can stay ahead. Follow these 10 steps to maximize the performance of your applications and underlying network infrastructure ...
IT organizations are constantly trying to optimize operations and troubleshooting activities and for good reason. Let's look at one example for the medical industry. Networked applications, such as electronic medical records (EMR), are vital for hospitals to provide outstanding service to their patients and physicians. However, a networking team can often not be aware of slow response times on the remotely hosted EMR application until a physician or someone else calls in to complain ...
In 2014, AWS Lambda introduced serverless architecture. Since then, many other cloud providers have developed serverless options. What’s behind this rapid growth? ...
This question is really two questions. The first would be: What's really going on in terms of a confusion of terms? — as we wrestle with AIOps, IT Operational Analytics, big data, AI bots, machine learning, and more generically stated "AI platforms" (… and the list is far from complete). The second might be phrased as: What's really going on in terms of real-world advanced IT analytics deployments — where are they succeeding, and where are they not? This blog will look at both questions as a way of introducing EMA's newest research with data ...
Consumers will now trade app convenience for security, according to a study commissioned by F5 Networks, The Curve of Convenience – The Trade-Off between Security and Convenience ...
Gartner unveiled the CX Pyramid, a new methodology to test organizations’ customer journeys and forge more powerful experiences that deliver greater customer loyalty and brand advocacy ...
Nearly half (48 percent) of consumers report that they currently use, or have used in the past, services of organizations that were involved in a publicly disclosed data breach and, of those, 48 percent have stopped using the services of an organization because of a breach, according to Global State of Digital Trust Survey and Index 2018, a new report from CA Technologies ...
Here's the problem: IT teams are in the dark. The only information they have available to them is based on what users decide to tell them about through calls to the help desk ...
Over the past year, the enterprise network grew significantly more complicated, creating new challenges for network professionals, according to IDG’s 8th annual State of the Network study. Internet of Things (IoT) projects, the demands of an increasingly mobile workforce, and an explosion of apps prompted network professionals to enhance their network infrastructure and the skillsets needed to support it. Network professionals are now being asked to help shape IT strategy ...
Retailers are already busy prepping to avoid an Amazon Prime type meltdown during the holiday shopping season. However, rather than focusing efforts on coping with surges in traffic to your website, you also need to be thinking about the ongoing speed of your site ...