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Predictions 2023: Citizen Development And The Metaverse Stir Up Software Development

Forrester IT

The year ahead will be a tumultuous one for software developers. Read Forrester's top three predictions for software development in 2023.

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Top Software Development Challenges in 2023

IT Toolbox

Solutions to address the top challenges in software development. The post Top Software Development Challenges in 2023 appeared first on Spiceworks.

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At Its Innovation 2023 Event, Intel Is Focused On AI Developers

Forrester IT

I attended the first day of the Intel Innovation 2023 developer’s conference to see how this venerable Silicon Valley giant was responding to AI and competitive pressure. What I found was a comeback story in progress, wrapped in a very heavy dose of AI, led by its dynamic CEO Pat Gelsinger. Intel hopes that AI […]

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Connecting Possibilities: Highlights From the Samsung Developer Conference 2023

IT Toolbox

Samsung wants to empower developers to harness its electronics ecosystem to build new, connected experiences. The post Connecting Possibilities: Highlights From the Samsung Developer Conference 2023 appeared first on Spiceworks.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

January 18th, 2023 at 9:30am PST, 12:30pm EST, 5:30pm GMT

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OpenAI Holds First Developer Conference: What It Means For Consumer Digital Experiences

Forrester IT

Read Forrester’s high-level takeaways from OpenAI’s first developer conference in November 2023.

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Forrester’s Impressions: VMware Explore 2023

Forrester IT

In recent years, VMware has faced major headwinds: It migrated its clients from on-premises to public cloud, changed to a cloud-native application development paradigm, shifted to subscription licensing, had frequent cycles of M&A activities, and experienced unfavorable macroeconomic environments.

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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.