Remove Agile Remove Artificial Intelligence Remove Change Management Remove Programming
article thumbnail

Demystifying AI: A Guide to Understanding and Leveraging Artificial Intelligence

Eric D. Brown

Introduction In an era where technology continuously reshapes business foundations, artificial intelligence (AI) emerges as a tool and a transformative force, redefining how organizations operate, compete, and innovate. Education and Training : Invest in education and training programs to upskill your workforce in AI and data literacy.

article thumbnail

Demystifying AI: A Guide to Understanding and Leveraging Artificial Intelligence

Eric D. Brown

Introduction In an era where technology continuously reshapes business foundations, artificial intelligence (AI) emerges as a tool and a transformative force, redefining how organizations operate, compete, and innovate. Education and Training : Invest in education and training programs to upskill your workforce in AI and data literacy.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Generative AI’s change management challenge

CIO Business Intelligence

Despite headlines warning that artificial intelligence poses a profound risk to society , workers are curious, optimistic, and confident about the arrival of AI in the enterprise, and becoming more so with time, according to a recent survey by Boston Consulting Group (BCG). For many, their feelings are based on sound experience.

article thumbnail

5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

Business leaders expect IT to develop new products, improve customer experiences, automate workflows, and deliver new artificial intelligence capabilities. Many IT teams use agile methodologies to iteratively deliver feature-rich releases, improve capabilities, address technical debt, and experiment with emerging technologies.

Agile 130
article thumbnail

3 key roles for driving digital success

CIO Business Intelligence

It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificial intelligence — all of which have no clear end point, nor are exclusively technology-focused.

Agile 98
article thumbnail

7 sins of digital transformation

CIO Business Intelligence

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives.

article thumbnail

Future-Proofing Your Business with Hyperautomation

CIO Business Intelligence

However since then great strides have been made in machine learning and artificial intelligence. They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. It’s been around since the early 2000s.