Effective organizational leadership is the foundation for a company’s success. Chief information officers (CIOs), chief executive officers (CEOs), and other C-suite executives play a pivotal role in guiding and directing individuals and groups within their organization.
While the power of data is undeniable, the buzzwords "big data knows everything" and "data is the new oil" often overshadow the practical challenges faced by businesses when it comes to data-driven decision-making.
Imagine you're flipping a coin to predict your business success. With poor change management, it's like hitting heads just 15% of the time. But with excellent organizational change management, you turn into a lucky charm, landing tails (success) a whopping 93% of the time!
According to a whitepaper from IDC and IBM, businesses with predictive analytics show a return on investment (ROI) of around 250%. The statistics highlight why many businesses are embracing predictive modeling to outpace their competitors.
A few weeks ago in Atlanta, GA, PMI’s Global Summit boasted many presentations and discussions around how Artificial Intelligence will shape projects … and project managers … in the near future. Nearly everyone I met had AI on their minds, some with delight—others with trepidation.
Are you seeking methods to enhance the decision-making of your project leaders? Predictive analytics techniques can assist in achieving this goal by providing a deeper comprehension of your data. How? Let's get into a more comprehensive understanding of this concept.
"Leadership is not about being in charge. It is about taking care of those in your charge." - Simon Sinek
Is Seamless Integration Possible?
When you say generative AI, everywhere people are speculating: How can we use AI tools to be more efficient? Can we trust AI to make important decisions? Will AI replace human jobs?
