IBM Journey to AI blog

article thumbnail

5 steps for implementing change management in your organization

IBM Journey to AI blog

Change is inevitable in an organization; especially in the age of digital transformation and emerging technologies, businesses and employees need to adapt. Change management (CM) is a methodology that ensures both leaders and employees are equipped and supported when implementing changes to an organization. The goal of a change management plan, or more accurately an organizational change plan, is to embed processes that have stakeholder buy-in and support the success of both the business and the

article thumbnail

Deployable architecture on IBM Cloud: Simplifying system deployment

IBM Journey to AI blog

Deployable architecture (DA) refers to a specific design pattern or approach that allows an application or system to be easily deployed and managed across various environments. A deployable architecture involves components, modules and dependencies in a way that allows for seamless deployment and makes it easy for developers and operations teams to quickly deploy new features and updates to the system, without requiring extensive manual intervention.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Journey to AI blog

This Earth Day, we are calling for action to conserve our scarcest resource: the planet. To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

AI 208
article thumbnail

For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Journey to AI blog

AI can be a force for good, but it might also lead to environmental and sustainability concerns. IBM is dedicated to the responsible development and deployment of this technology, which can enable our clients to meet their sustainability goals. “AI is an unbelievable opportunity to address some of the world’s most pressing challenges in health care, manufacturing, climate change and more,” said Christina Shim, IBM’s global head of Sustainability Software and an AI Ethics

AI 224
article thumbnail

The journey to a mature asset management system

IBM Journey to AI blog

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Earlier posts in this series addressed the challenges of the energy transition with holistic grid asset management, the integrated asset management platform and data exchange, and merging traditional top-down and bottom-up planning processes.

ESG 223
article thumbnail

Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work.

article thumbnail

Probable Root Cause: Accelerating incident remediation with causal AI 

IBM Journey to AI blog

It has been proven time and time again that a business application’s outages are very costly. The estimated cost of an average downtime can run USD 50,000 to 500,000 per hour , and more as businesses are actively moving to digitization. The complexity of applications is growing as well, so Site Reliability Engineers (SREs) require hours—and sometimes days—to identify and resolve problems.

Robotics 157