AIOPS

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GLOBAL NEWS

Poor visibility and silos impact business outcomes Digital.ai has released the Digital Transformation Progress Report, detailing the findings of a survey of over 600 enterprise IT, Security, and Business decision makers on the state of digital transformation in their business during the COVID-19 pandemic. Survey respondents overwhelmingly agreed that visibility into planning processes and the alignment of software development and delivery processes to business objectives are critical to driving better business outcomes. However, more than half reported issues providing that visibility and alignment, calling in to question long term success of today’s digital transformation initiatives. The research also revealed a wide range of issues relating to digital transformation, including concerns about ROI, security, and the ability to compete in today’s digital environment. The overwhelming majority (99%) of leaders agreed that organizations need visibility into business planning processes to produce better outcomes, but only 62% said they can provide that visibility and 34% admitted they are doing poorly at providing visibility. Additionally, 94% of respondents said organizations need software development and delivery to be better linked with business objectives, but only 54% said their Business, IT, and Security teams are strategically aligned and working toward the same goals and objectives. What’s more, 78% of leaders said COVID-19 has further impacted the alignment between business and IT value streams in their organizations. “Most of today’s agile and DevOps tools are designed for the workgroup, making visibility and alignment fairly easy to achieve at the team level. However, scaling to the enterprise is far more complex, as organizations must break down silos and manage teams of teams that embrace different cultures, tools, and systems,” said Derek Langone, Head of Strategic Transformation at Digital.ai. “We’ve found that in large enterprises that succeed at true digital transformation, business and technology

teams work collaboratively to define value and drive outcomes. These companies typically organize themselves in terms of value streams, employ an open approach to sharing information, and leverage enterprisegrade solutions that offer full visibility and rich, predictive insights across the entire organization.” While 94% of respondents said they are familiar with the concept of value stream management, and 95% believe their organization is definitely or probably practicing value stream management, only about half (53%) of the organizations said their business and software value streams are very aligned, and just 60% say their organizations are very customer centric. Moreover, there was no clear consensus on what value stream management means to the enterprise. Gartner predicts that “by 2023, 70% of organizations will use value stream management to improve flow in the DevOps pipeline, leading to faster delivery of customer value and the use of value stream delivery platforms to streamline application delivery will grow from 10% to 40%.” 98% of survey respondents reported they are likely to use a platform that connects software delivery process to business objectives and provides insights needed to make decisions that increase value delivered to customers, and 63% said they would be very likely to use such a platform. Alan Brown, Author and Professor in Digital Economy at the University of COPYRIGHT DIGITALISATION WORLD

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Exeter specializing in agile approaches to business transformation, noted “The gap between investing in business transformation versus reaping the benefits has always existed but has been heightened in the last year. At the heart of it, digital or business transformation is not about doing everything faster, but about doing more of the right things efficiently. Automation and Value Stream platforms can go a long way to help organizations overcome key obstacles and enable them to achieve more of the intended results of digital transformation.” Additional Findings Although most leaders said digital transformation was going well at their organization, the survey also found the majority have serious concerns about the state of their programs:  91% said they need to get more out of their digital transformation initiatives,  49% are not seeing the results they expected from their digital transformation initiatives,  56% are worried about the return on their digital transformation investment,  63% are worried about releasing security vulnerable products, and  54% believe problems with digital transformation have hurt their company’s bottom line. With regard to the COVID-19 pandemic, the majority of leaders said their organizations have responded well to the situation. However, when asked, more than half (55%) are concerned about their organization’s ability to respond to change and their ability to compete in today’s digital environment (54%). ISSUE II 2021

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What is an AI strategy and how do you build one?

4min
pages 86-87

Using the greater data ecosystem to drive great decision making

5min
pages 93-94

The ROI of data-driven development improving how teams work

6min
pages 90-92

How to train your AI algorithm

4min
pages 84-85

How to thrive in the enterprise AI era

5min
pages 82-83

Companies consider work from anywhere

4min
page 78

Why is APM important? Breaking down the benefits

4min
pages 80-81

Three tips for creating outstanding digital customer experiences

3min
pages 76-77

The key to unlocking optimum digital employee experience: Proactivity

5min
pages 74-75

Prioritise, predict and act with BMC Helix

4min
page 73

Catchpoint releases enhanced version of the WebPageTest API

2min
page 72

Understanding legacy infrastructure by looking at the Egyptian pyramids

5min
pages 70-71

Accelerate your automation journey with a Centre of Excellence

5min
pages 68-69

Weeding your digital garden to provide outstanding software experiences

4min
pages 60-61

It’s now or never for more perfect software

4min
pages 62-63

CloudFabrix launches AIOps 2.0

3min
page 64

Telecom: Enabling automaton everywhere through AI and analytics

3min
pages 54-55

The future of service management in the DevOps era

5min
pages 58-59

The importance of AIOps within value stream management

6min
pages 56-57

Tackling cloud complexity with the right tools

5min
pages 52-53

Poor visibility and silos impact business outcomes

3min
page 51

Reducing operational costs and improving productivity in a post-Covid world

11min
pages 46-49

The data-driven IT operations organization

3min
pages 44-45

The importance of visibility in AIOps for digital transformation

3min
pages 28-29

The move to SaaS

5min
pages 34-35

It’s all about scale

4min
pages 32-33

Improving cloud application performance

3min
page 30

Seven KPIs for AIOps

3min
pages 26-27

Netreo acquires Stackify

3min
page 23

How AIOPs is driving digital transformation

3min
pages 10-11

Observability vs. Monitoring for DevOps professionals

6min
pages 20-21

Implementing AIOPs in 5 simple steps

6min
pages 16-19

Visibility across the entire software stack

4min
page 22

Study says Digital Operations Management is essential

3min
page 12

How to get started with AIOps

5min
pages 6-7

ScienceLogic are in the money

3min
page 13

AIOps: Why network monitoring plays an even more important role

5min
pages 8-9
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