Digital Sustainability Practices: A Guide to Greener Habits

5 ways to reduce an organization’s digital carbon footprint

From optimizing video conferences to minimizing unnecessary data storage, learn practical strategies that can help shrink an organization’s digital carbon footprint.

Article featured in TechTarget

Even sustainability-minded people can forget the environmental impact of digital technologies.

But all tech and the processes to power it have a digital computer footprint. That goes for obvious areas, such as computers and servers, as well as less obvious ones, like networking and software engineering.

Here are some practical tips companies can use to lessen the organizational digital carbon footprint.

1. Adopt a solid information governance strategy

As data has grown, so too has indiscriminate information and data retention. That can drive up the digital carbon footprint.

Ian Hodgkinson, a professor of strategy and research, and Tom Jackson, a professor of information and knowledge management, at Loughborough University in Loughborough, U.K. are developing the Data Carbon Ladder.

This tool helps organizations determine how large data sets should be for projects and where to store them. They argue that to reduce the digital carbon footprint, companies need to practice sound data retention policies.

IT Sustainability: 5 Possible Approaches To Green IT

IT sustainability is becoming increasingly important as organizations come under pressure to reduce their energy consumption and carbon footprint. Let’s look at five ways your IT department can become more green.

Article featured in LeanIX

IT sustainability is rising up board agendas across all industries. Regulators, the press, consumers, and employees are all putting pressure on companies to reduce their carbon footprints and IT is being chosen to lead the way.

Since computers run on electricity, the onus falls immediately on IT leaders to find ways to cut back on energy consumption without reducing productivity. How can you cut the carbon footprint of your organization’s technology use while continuing to empower it with innovative technology?

Let’s look at five potential approaches to optimizing the sustainability of your IT landscape.

IT Sustainability Approach 1: Cut Back On Your Electric Waste

Why does the responsibility for improving sustainability fall on IT? Well, around 2% of the world’s carbon footprint is generated by IT, which is the same amount as the entire aviation industry.

IT runs on electricity, so takes more than its share of your organization’s carbon footprint. As such, the obvious first step in cutting your carbon production down is to reduce the amount of electricity that you use.

3 tips for success in Application Delivery Management

Essential strategies to help your team get ahead in 2024.

Article featured in opentext

Success in Application Delivery Management (ADM) hinges on the ability to adapt to evolving technologies and methodologies. As we get into the swing of things in 2024, three key strategies emerge as essential for thriving in this area: embracing automation, prioritizing performance monitoring, and cultivating a culture of collaboration.

Let’s dive into each of these tips and explore how they can empower you, as an ADM leader, to excel in the year ahead.

1. Embrace automation.

In application delivery, automation serves as a force multiplier that can enable you to streamline processes, enhance efficiency, and drive innovation. By leveraging automation tools and frameworks, your team can automate repetitive tasks such as code deployment, testing, and infrastructure provisioning, freeing up valuable time and resources for strategic initiatives.

Automation not only reduces the risk of human error but also accelerates deployment cycles, allowing your team to deliver features and updates to end-users faster. Moreover, automation fosters consistency and repeatability, ensuring that deployments are executed reliably across different environments.

In 2024, the importance of automation in ADM cannot be overstated. Whether it’s through the adoption of CI/CD pipelines, configuration management tools, or infrastructure as code practices, your team must embrace automation as a cornerstone of your ADM strategy to remain competitive in today’s fast-moving digital environment.

Data Maturity: The Cornerstone of AI-Enabled Innovation

This article outlines strategies for overcoming data maturity challenges and accelerating AI adoption.

Article featured in Kdnuggets

In the relentless pursuit of innovation and securing a competitive advantage, businesses are progressively harnessing the power of artificial intelligence (AI) as a transformative tool. The promise of AI to streamline operations, elevate decision-making processes, and unveil concealed patterns within data has spurred its swift integration across industries, especially in retail, manufacturing, and distribution.

However, despite the compelling possibilities, achieving the maximum benefits of AI hinges on a robust groundwork of data maturity. Unfortunately, numerous enterprises encounter challenges in attaining this maturity due to various factors. These challenges often encompass:

• Fragmented data silos
• Poor data quality
• Limited transparency about data assets and skills
• Organizational inertia toward reestablishing a balance between technology as an enabler vs. provider of business data needs

In this article, I will highlight prescriptive strategies to overcome these challenges toward establishing a robust data foundation for scaling differentiated AI capabilities.

5 Risks Of Legacy Technology For Enterprise Architects

Enterprise architecture management can be undermined by obsolete IT components. Discover five reasons why technology obsolescence risk management needs to be a key part of your enterprise architecture practice.

Article featured in LeanIX

As enterprise architects, it’s easy for us to focus on the application portfolio and lose sight of the technology that runs those applications. To ensure your applications support your business strategy, you need to empower them with functional IT components.

If your IT components reach end-of-support, you could find yourself losing value from your exciting, innovative applications and falling short on your strategic goals. As such, tracking your IT component lifecycle is essential for enterprise architects concerned with technology obsolescence risk management.

Before we look at how you can do that, let’s consider the dangers of ignoring technology obsolescence risk. Below, we list the five biggest issues that you face from technology obsolescence.

Technology Obsolescence Risk 1: Failure

On November 7, 2015, Paris-Orly airport was forced to shutdown for seven hours due to a network failure. Air traffic controllers explained that this was due to the airport running operating systems that were over 20 years old and long out of support.