Systems | Development | Analytics | API | Testing

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Telco Enterprise Data Platforms: Key Success Factors in Building for an AI Future

Since 5G networks began rolling out commercially in 2019, telecom carriers have faced a wide range of new challenges: managing high-velocity workloads, reducing infrastructure costs, and adopting AI and automation. Because data management is a key variable for overcoming these challenges, carriers are turning to hybrid cloud solutions, which provide the flexibility and scalability needed to adapt to the evolving landscape 5G enables.

Deploying Gen AI in Production with NVIDIA NIM and MLRun

In this demo, we showcase how to leverage MLRun, Iguazio, and NVIDIA NIMs to deploy and monitor a generative AI model at scale, focusing on reducing risks and ensuring seamless performance. Using NVIDIA's NIMs, the demo demonstrates advanced methods in model monitoring, logging, and continuous fine-tuning.

Gpt-4 Cost: Everything You Need To Know Before Getting Started

AI has come as a game-changer in plenty of industries, with OpenAI’s GPT series setting the pace in natural language processing and decision-making abilities. The latest edition, GPT-4, promises even more powerful features, like enhanced accuracy, enlarged context window, and improved performance for grape tasks. However, before the adoption of this avant-garde technology, it is necessary to understand how much GPT-4 costs.

Why A Test Strategy Is Critical For Your Project Success

Testing without any direction is the same as navigating without a map. It is disorganized, full of errors, weak outcomes, and fraught with risks. This is where test strategy comes into play, for the clarity of the pathway, robust structure of tests, and alignment of the project’s goals. Have a read about how test planning could prove to be a game changer for your organizations.

Top Benefits of Claims Process Automation

Today’s policyholders expect fast and reliable insurance service tailored to their needs. Claims organizations need to accurately and efficiently manage claims while balancing the growing demand for speed and reliability. However, operational bottlenecks and lack of business agility continue to delay claims resolutions and increase costs. Leading insurance companies are turning to process automation to improve customer satisfaction and employee experience.

"So I Tried Qlik Answers" | First Reactions to Qlik's Generative AI Assistant

Ever wondered how a Generative AI assistant can revolutionize the way you work with data? Watch as real users try Qlik Answers, Qlik's AI-powered knowledge assistant, for the very first time! Whether you're an experienced Qlik user or just getting started, this video showcases why Qlik Answers is the future of trusted, fast, and intuitive data insights. Ready to try it yourself?

EP14: Platform Engineering for Architects

In this episode, hosts Sanjiva and Asanka are joined by special guest Daniel Bryant to explore the evolving practice of platform engineering through the lens of software architecture. They discuss why platform engineering should have a product mindset with developers as its primary customers, how platform and software architectures are symbiotic, and why good APIs, abstractions, and automation are essential for success. The conversation also highlights the role of internal developer platforms (IDPs) in enabling efficient and scalable software delivery.

2025 Gen AI Predictions: What Lies Ahead?

In 2024, organizations realized the revolutionizing business potential of gen AI. They accelerated their gen AI operationalization processes: explored new use cases to implement, researched LLMs and AI pipelines and contemplated underlying ethical issues. And with the seeds of the AI revolution now planted, the market is maturing accordingly.

Balancing Shifting Strategies for Maximum Impact

Are your testing strategies aligned with your team’s goals? Shifting left often requires discipline and advanced skills, making it a safer approach for many teams. On the other hand, shifting right can deliver major rewards if your team has the resources to handle the risks. The key is understanding your team’s capabilities and aligning your strategy with your specific goals, whether that means prioritizing safety or speed.