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AI-native software engineering may be closer than developers think

CIO Business Intelligence

Organizations and vendors are already rolling out AI coding agents that enable developers to fully automate or offload many tasks, with more pilot programs and proofs-of-concept likely to be launched in 2025, says Philip Walsh, senior principal analyst in Gartner’s software engineering practice. This technology already exists.”

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

CIO Business Intelligence

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. Imagine that you’re a data engineer. These challenges are quite common for the data engineers and data scientists we speak to. Seamless data integration.

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Why 2024 May Be the Breakthrough Year for Platform Engineering

Information Week

Searching for faster, more efficient application delivery? Platform engineering promises improved developer productivity via self-service.

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Ethernet roadmap: AI drives high-speed, efficient Ethernet networks

Network World

The Ethernet Alliances roadmap references the consortiums 2024 Technology Exploration Forum (TEF), which highlighted the critical need for collaboration across the Ethernet ecosystem: Industry experts emphasized the importance of uniting different sectors to tackle the engineering challenges posed by the rapid advancement of AI.

Network 488
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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.

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5 reasons why 2025 will be the year of OpenTelemetry

Network World

OpenTelemetry, or OTel, addresses a key pain point for network managers who must prevent network outages and maintain high levels of application performance across increasing complex and opaque multi-cloud environments. And traces provide visibility into application layer performance in distributed cloud environments.

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IBM Cloud speeds AI workloads with Intel Gaudi 3 accelerators

Network World

With Gaudi 3 accelerators, customers can more cost-effectively test, deploy and scale enterprise AI models and applications, according to IBM, which is said to be the first cloud service provider to adopt Gaudi 3. IBM watsonx.ai

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products! There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday.

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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. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving. .

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. However, this increased velocity often comes at the cost of overall application performance or reliability. Prioritize engineering work by putting it in the context of end user experience.

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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.

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Microservices: The Dark Side

Speaker: Prem Chandrasekaran

In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. How these strategies can be applied in different size engineering organizations.