Deploying Gen AI in Production with NVIDIA NIM & MLRun - MLOps Live #33 with NVIDIA
In this webinar, we explored how to successfully deploy your Gen AI applications while mitigating these challenges, using NVIDIA NIM and MLRun.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Overcoming Challenges in AI Adoption
AI is no longer just a buzzword – it’s the driving force behind the next wave of innovation in the software industry. Companies that embrace AI today are automating tasks, boosting efficiency, and unlocking new levels of productivity. However, as revolutionary as AI is, adopting it within technical software teams isn’t without its challenges. From skill shortages to navigating ethical dilemmas, businesses face a steep adoption curve.
2024 DORA Reaction on AI and Platform Engineering falling short
The 2024 DORA report had interesting findings on the impact of AI development. But some statistics were surprising. Listen to Speedscale CTO Matt LeRay break down why some of this news makes sense and others are surprising, with research from other sources.
How to build a real estate website like Zillow?
Realtors have long been seen as the "connectors" between property buyers and sellers. However, in 2024, this role is increasingly being taken over by real estate websites like Zillow. So, what does this shift mean for real estate companies, startups, and agents? The demand for real estate apps is on the rise. People now prioritize quick and convenient ways to buy, sell, or rent properties, with about 95% of homebuyers beginning their search online.
Half of C-suite want to 'completely overhaul' how they use data
2025 will see UK businesses undertake a major shake up of their IT and data practices, new research shows.
A Complete Guide to Mobile Accessibility Testing
Mobile accessibility testing requires special consideration. This guide covers everything you need to know about making mobile apps accessible.
Responsible AI Through Crowdsourced Software Testing
Part 1 of this two-part blog serves as the foundation, highlighting the critical role that quality engineering (QE) must play in addressing the business risks associated with the accelerating adoption of artificial intelligence or AI-powered software.
The synergy of AI and human intelligence in software testing
Combining Artificial Intelligence and human intelligence in testing becameessential for delivering high-quality products quickly and efficiently. AI excels at automating repetitive tasks, analyzing vast datasets, and improving test coverage. Humans, on the other hand, bring creativity, critical thinking, and the ability to handle complex scenarios that machines can’t easily navigate. Together, they form a powerful synergy that enhances speed and accuracy in testing but also brings challenges..
What Made Current 2024 Unforgettable? Hear From Our Attendees | Current 2024
In this recap video from Current 2024, attendees share their favorite moments from the event. From insightful talks on data streaming innovation to hands-on workshops and networking opportunities, hear what participants found most valuable.
How is AI in DevOps Transforming Software Development
They started in awe, which soon turned into desperation to keep up, and it is only now that we have started realizing the utility and business value of our Artificial Intelligence (AI) goals. I like this stage of our industrial revolution, where we are no longer expecting magic from AI but are integrating it nevertheless for all the wonders it can still do for our businesses. This was the same space where our DevOps efforts started yielding enterprise-level transformations.