Tag: ai

Rather than an expensive hindrance or a risk-avoidance tactic, businesses should view responsible AI as an enabler of technology.

Use the VDOCR model to build your ML implementation plan: Vision, Data, Organizational alignment, Change management and Revalidation.

Since the beginning of the pandemic, automation has been used to make workplaces more productive, however, not all automation is good for organizations.

Metadata should not be treated as an afterthought or a cost to be avoided, but rather as the playbook for new opportunities.

Expect two main areas — the impact of AI on our back-end data processing capabilities and the impact of no-code development on UX — to move to the fore.

The diverse use cases for AI raise ethical and moral questions about how technology is used in a fair and just manner.

While many organizations are rushing to deploy artificial intelligence, there are no guarantees that doing so will help your business. Here's why.

Above all, the past five years of digital transformation have taught us the importance of agility as businesses struggle to keep pace with change.

There's no 'one size fits all' approach to AI, but here's a look at four major types and how they can help deliver business impact.

As the use of AI-fueled chatbots grows, so do applications to employee experience. Self-service HR, recruiting, onboarding and learning are just the start.

What is your IT organization up to today? Is it focused on solving the right problems with data?

As business processes increasingly move into the digital realm, developers should focus on broader business goals before rushing to implementation.

The technology industry has long had a diversity problem but some nonprofits are doing their part to break down the barriers and create lasting change.

Organizations are replacing human-based trust models with algorithmic ones to ensure data privacy and security. Here's why.

There's a lot of work to be done developing AI, but it's gaining enterprise traction. In fact, recent data predicts 75% penetration in the workplace by 2024.

What will the future bring for AI? Barring any major shifts, businesses are likely to see more of the same, only bigger, faster and cheaper.

As part of Microsoft’s Project Cortex rollout, Microsoft is advocating for new knowledge management positions, staffed by living, breathing human beings.

Last year machine learning engineer was the most sought-after role in tech, according to a recent survey. So what does a ML engineer do?

It has been argued that jobs being lost to AI are mainly unskilled. However, trends indicate this isn't the case. What other skilled jobs may be impacted?

Many organizations are looking at automating workplace processes. However, successful automation requires strong planning and preparation.