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AI can provide tangible benefits such as deeper insights, increased productivity, improved customer service, and greater operational efficiencies. However, to achieve these benefits, you need a solid ...

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 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 ...

The promise of artificial intelligence (AI) to transform business operations has generated great enthusiasm from organizations across industries. Yet, despite the widespread adoption of AI—with 74% of ...

Organizations increasingly recognize the value of their data assets and that their ability to quickly and efficiently reach actionable insights is a key competitive differentiator. A data fabric can ...

In 2022, the U.S. Congress passed the Inflation Reduction Act (IRA), which allocated billions in investment to clean energy. This set off a race among private equity and credit firms to identify ...

Once an obscure field known only to specialized mathematicians and data analysts, prescriptive analytics has become a cornerstone of modern business strategy. From workforce scheduling and portfolio ...

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 recent history, companies both domestic and international have focused on becoming data-driven. They have mastered consolidating, managing, and leveraging data to inform their strategic ...

The perennial question in every computing job is how long it will exist. Whether they say it openly or not, companies that invest in automation, robotics, and AI intend to replace human labor hours ...

This year, we examined ten specific teams across data and analytics functions: BI/analytics, centers of excellence (CoE), data architecture, data governance, data products, data science, data security ...