Dhubaib, head of AI and data science at Further, to explore how enterprises are using AI, data, and automation to unify customer experiences and remove friction across the life cycle.

Getting useful results from AI systems isn't magic—it's about knowing how to communicate clearly and strategically. Learn the fundamentals of prompt engineering that make the difference between ...

A misdiagnosed patient. A denied mortgage. A fraud alert that locks out a legitimate customer. These aren’t edge cases—they’re recurring failures of systems never meant to make high-stakes decisions ...

Global CEOs are making generative AI a top investment priority, and enterprise technology leaders are feeling the pressure to implement a unified data strategy and better data management to support ...

It is challenging—yet exciting—to compete, collaborate, innovate, and drive efficient business and IT operations in today’s roller-coaster world of continuous changes. Organizations of all sizes need ...

Momentum is still growing around generative AI, and many organizations who’ve been experimenting with AI now want to operationalize new AI analyses. One approach that supports operationalization is ...

The advent of generative AI sparked a push toward developing a conversational interface for business analytics and data insight generation. It seemed to be a perfect use case, allowing decision-makers ...

The generative artificial intelligence (AI) boom will continue unabated over the next several years. As 2025 approaches, I predict the following key trends in generative AI. Adoption of generative AI ...

Data governance is a continuous journey that must evolve alongside the changing needs of an organization. It focuses on the people, practices, and platforms that ensure business data is always ...

AI can provide tangible benefits such as deeper insights, increased productivity, improved customer service, and operational efficiencies when it is deployed successfully. To achieve these benefits ...

Enterprises rely on robust data quality management to address challenges and seize strategic and operational advantages in today’s business environment. Data quality management—often known as ...

In 2023, the business landscape grappled with a myriad of unforeseen challenges. As enterprises raced to integrate cutting-edge technologies such as generative AI into their strategies, they also had ...