Remove Architecture Remove Infrastructure Remove Tools
article thumbnail

The key to operational AI: Modern data architecture

CIO

People : To implement a successful Operational AI strategy, an organization needs a dedicated ML platform team to manage the tools and processes required to operationalize AI models. However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure.

article thumbnail

Your IT infrastructure may be more outdated than you think

CIO

About two-thirds of CEOs say they’re concerned their IT tools are out-of-date or close to the end of their lives, according to Kyndryl’s survey of 3,200 business and IT executives. But in conflict with CEO fears, 90% of IT leaders are confident their IT infrastructure is best in class.

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

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

CIO

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. What does the next generation of AI workloads need?

article thumbnail

Choosing a cloud infrastructure provider: A beginner’s guide

TechCrunch

Deploying cloud infrastructure also involves analyzing tools and software solutions, like application monitoring and activity logging, leading many developers to suffer from analysis paralysis. These companies are worried about the future of their cloud infrastructure in terms of security, scalability and maintainability.

article thumbnail

How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools. Avoiding common analytics infrastructure and data architecture challenges. Driving a self-service analytics culture with a semantic layer. Using predictive/prescriptive analytics, given the available data.

article thumbnail

Securing AI Infrastructure for a More Resilient Future

Palo Alto Networks

To mitigate these risks, companies should consider adopting a Zero Trust network architecture that enables continuous validation of all elements within the AI system. The post Securing AI Infrastructure for a More Resilient Future appeared first on Palo Alto Networks Blog.

Security 105
article thumbnail

Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. Technology modernization strategy : Evaluate the overall IT landscape through the lens of enterprise architecture and assess IT applications through a 7R framework.

Cloud 147