Remove Architecture Remove Artificial Intelligence Remove Data Engineering
article thumbnail

The key to operational AI: Modern data architecture

CIO

The team should be structured similarly to traditional IT or data engineering teams. However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure. To succeed, Operational AI requires a modern data architecture.

article thumbnail

From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

This is where Delta Lakehouse architecture truly shines. Specifically, within the insurance industry, where data is the lifeblood of innovation and operational effectiveness, embracing such a transformative approach is essential for staying agile, secure and competitive. This unified view makes it easier to manage and access your data.

Insurance 164
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The future of data: A 5-pillar approach to modern data management

CIO

It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies.

Data 167
article thumbnail

Building a vision for real-time artificial intelligence

CIO

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Artificial Intelligence, IT Leadership, Machine Learning

article thumbnail

Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data.

article thumbnail

Ready to transform how your IT organization drives business outcomes with AIOps?

CIO

Artificial intelligence for IT operations (AIOps) solutions help manage the complexity of IT systems and drive outcomes like increasing system reliability and resilience, improving service uptime, and proactively detecting and/or preventing issues from happening in the first place.

article thumbnail

IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. We currently have about 10 AI engineers and next year, itll be around 30.