article thumbnail

7 signs it’s time to modernize your IT systems

CIO Business Intelligence

The bad news, however, is that IT system modernization requires significant financial and time investments. When addressed properly , application and platform modernization drives immense value and positions organizations ahead of their competition, says Anindeep Kar, a consultant with technology research and advisory firm ISG.

System 349
article thumbnail

Stratoshark brings Wireshark-style analysis to cloud system calls

Network World

Launched today, Stratoshark applies the Wireshark user interface and workflow to system-level data, allowing users to analyze system calls, inter-process communication, networking, command execution and user activity in the cloud. Whats inside Stratoshark? eBPF At its core, Stratoshark usesFalco libraries developed by Sysdig.

Analysis 418
Insiders

Sign Up for our Newsletter

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

article thumbnail

Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Maintaining, updating, and patching old systems is a complex challenge that increases the risk of operational downtime and security lapse. The solutionGenAIis also the beneficiary.

article thumbnail

F5 targets AI application security with renewed workload management software

Network World

F5 is evolving its core application and load balancing software to help customers secure and manage AI-powered and multicloud workloads. The F5 Application Delivery and Security Platform combines the companys load balancing and traffic management technology and application and API security capabilities into a single platform.

article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. The number of use cases/corner cases that the system is expected to handle essentially explodes. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases.

article thumbnail

Gartner: AI spurs 25% surge in data center systems spending

Network World

growth in data center systems, largely due to AI services and GPU-based specialized services for AI workloads. Software: GenAI capabilities being integrated into existing applications will spur 12.6% The research firm is forecasting 25.3% growth, boosted by GPU-as-a-service and AI infrastructure offerings.

article thumbnail

IBM: 78% of mainframe shops are piloting, operating AI apps

Network World

New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology.

IBM 468
article thumbnail

LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

article thumbnail

Monitoring AWS Container Environments at Scale

Containers power many of the applications we use every day. Key metrics to monitor when leveraging two container orchestration systems. Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources.

article thumbnail

Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. How MLOps helps bridge the production gap between systems and teams. AI operations, including compliance, security, and governance.

article thumbnail

Humility in AI: Building Trustworthy and Ethical AI Systems

But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions. This could mean a catastrophic failure by the system down the line, especially without proper guardrails.

article thumbnail

Detect and Respond to Threats Across Your Applications, Networks, and Infrastructure

Security teams need visibility into their applications, infrastructure, and network, while development and operations teams need the ability to secure the services they own.

article thumbnail

Best Practices for Micro-Services Management, Traceability and Visualization

Speaker: Robert Starmer, Cloud Advisor, Founding Partner at Kumulus Technologies

Moving to micro-services, or even working with distributed applications in a traditional environment, brings with it a host of interactions that are often difficult to understand. This session will cover: Service Mesh - managing distributed systems communications for continuous delivery environments. January 31 2019 11.00 AM PST, 2.00

article thumbnail

Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.

article thumbnail

Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. This will help you decide whether to build an in-house entity resolution system or utilize an existing solution like the Senzing® API for entity resolution.