Data complexity is the primary pain point as companies make the jump to generative artificial intelligence. Data unification simplifies this complexity by reducing data silos and providing organizations with comprehensive insights.
Wrap-up analysis from Evolve 2024 with theCUBE Research’s Bob Laliberte and co-host Rebecca Knight.
“I think the first thing is looking … at what’s driving the need for solutions like Cloudera?” said Bob Laliberte, principal analyst at theCUBE Research. “We’re increasingly seeing these distributed environments where organizations have put applications and workloads in private data centers. They’re in public clouds, multiple public clouds [and] edge locations, and it’s driving a tremendous amount of complexity.”
Laliberte was joined by co-host Rebecca Knight for a wrap-up segment at the Cloudera Evolve24 event during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the future of how enterprise tech rewards organizations that can manage their data effectively, integrate AI and foster customer-driven innovation. (* Disclosure below.)
Data unification: AI and hybrid data models drive innovation
Given AI’s expansive data demands, unified platforms such as Cloudera allow companies to gather, process and analyze data from diverse environments, leading to better decision-making. When combined with hybrid data models, organizations can bring proprietary and on-premises data into AI models, increasing their efficacy. Large language models, which typically rely on public data, benefit greatly from incorporating proprietary data to enhance accuracy. This integration empowers businesses to push AI beyond its current limitations and use it more effectively in industries where precision is critical, according to Laliberte.
“[It’s about] having that hybrid model, having that unified nature of the data where you can bring to bear not only what you’ve attached from the model and the internet, but also what you have on-premises to … drive up the efficacy to provide that crucial context … to make it worthwhile deploying,” he said.
One standout use case is Halifax Airport’s use of Cloudera’s platform to unify its data and transform operations. By consolidating previously fragmented data sources, the airport was able to move from reactive reporting to predictive analysis, leading to significant improvements in passenger experience and cost savings, according to Knight.
“We learned about how they’re empowering not only aviation workers, but also passengers like us with new data, new information to make air travel more comfortable, convenient and efficient,” she said.
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the Cloudera Evolve24 event:
(* Disclosure: TheCUBE is a paid media partner for the Cloudera Evolve24 event. Neither Cloudera Inc., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)