Open Standards in Framework: How Do You Know?
On this thrilling LIVE session of 'Test Case Scenario' our esteemed host Jason Baum is accompanied by co-hosts Nikolay Advolodkin, Evelyn Coleman, and Marcus Merrell.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
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Developer Tears Saved: You can now accurately measure the pain Bitrise relieved for your mobile teams
Introducing Developer Tears Saved in Bitrise Insights: Monitor team progress, enhance productivity, and celebrate milestones in real-time, prioritizing developer engagement alongside traditional metrics like DORA.
How to Optimize Mobile App Testing | #MobileTesting Strategies | Srinivasan Sekar | #softwaretesting
In this video, Srinivasan Sekar delves into the world of mobile app testing. He shares effective techniques to optimize your testing process, ensuring robust and high-quality mobile applications. He covers strategies to enhance efficiency and productivity in mobile app testing and the latest and most impactful tools that can help streamline the mobile app testing process. Whether you're a seasoned tester or just starting out, this video offers valuable insights to help you streamline your mobile app testing efforts and deliver exceptional user experiences.
Generative AI in Call Centers: How to Transform and Scale Superior Customer Experience
Customer care organizations are facing the disruptions of an AI-enabled future, and gen AI is already impacting customer care organizations across use cases like agent co-pilots, summarizing calls and deriving insights, creating chatbots and more. In this blog post, we dive deep into these use cases and their business and operational impact. Then we show a demo of a call center app based on gen AI that you can follow along.
11 Best Image Annotation Tools for 2024
Have you ever wondered what it feels like to manually label thousands of images for your project? You know the drill: endless hours looking at screens, second-guessing every tag, and facing the fear of mistakes that could throw off your entire analysis. It's a real headache. You spend more time guessing than making progress, whether trying to align your team's vision or ensuring every detail matches the client's expectations. Here's where image annotation tools step in.
4 lessons from Kafka Summit London 2024
It was lovely to see so many of the community and hear about the latest data streaming initiatives at Kafka Summit this year. We always try to distill the sea of content from the industry’s premier event into a digestible blog post. This time we’ll do it slightly differently and summarize some broader learnings, not only from the sessions we saw, but the conversations we had across the two days.
All You Need to Know About Data Completeness
Data completeness plays a pivotal role in the accuracy and reliability of insights derived from data, that ultimately guide strategic decision-making. This term encompasses having all the data, ensuring access to the right data in its entirety, to avoid biased or misinformed choices. Even a single missing or inaccurate data point can skew results, leading to misguided conclusions, potentially leading to losses or missed opportunities.
Leadership Responsibility #accountability #teamwork #leadership
Delve into the essence of true leadership, where victories are shared and accountability is embraced. Explore the role of leaders as shields in adversity and champions in success.
Storage for AI with Ozone
Ozone enables ingest, processing, exploration, efficient iterative training, and fine-tuning of LLMs that rely on huge structured and unstructured datasets. This demo illustrates that. We have deployed a CML AMP chatbot that uses an LLM, augmented with an existing knowledge base. The knowledge base is stored in Ozone and retrieved over S3.
Getting Started with Insurance Modernization
If you have a legacy system with customized capabilities and valuable features but nearing end of life, refactoring the system is a potential choice for modernization. Insurance platform modernization usually involves one-to-one code migration, which can often be more costly and time consuming than expected and typically tends to miss some of the integration and data architecture modernization that is foundational for getting the full value of digitization.