Analytics

2024 has been a year defined by technological innovation as the rise of AI made a profound splash for SAP-powered finance teams. On the other side of the coin, they also struggle with skills shortages that make it difficult to keep up with the speed of developing technology.

This expert panel discussed how businesses can prepare for challenges and opportunities with AI, powering smarter models and personalized experiences.

Since 5G networks began rolling out commercially in 2019, telecom carriers have faced a wide range of new challenges: managing high-velocity workloads, reducing infrastructure costs, and adopting AI and automation. Because data management is a key variable for overcoming these challenges, carriers are turning to hybrid cloud solutions, which provide the flexibility and scalability needed to adapt to the evolving landscape 5G enables.

In 2024, organizations realized the revolutionizing business potential of gen AI. They accelerated their gen AI operationalization processes: explored new use cases to implement, researched LLMs and AI pipelines and contemplated underlying ethical issues. And with the seeds of the AI revolution now planted, the market is maturing accordingly.

Keboola, in cooperation with Capgemini and Snowflake, is releasing “AI Data Management For Dummies," a book written to be an easy introduction to the world of discriminative and generative AI.

In the last year, we’ve seen the explosion of AI in the enterprise, leaving organizations to consider the infrastructure and processes for AI to successfully—and securely—deploy across an organization. As we head into 2025, it’s clear that next year will be just as exciting as past years. Here, Cloudera experts share their insights on what to expect in data and AI for the enterprise in 2025.