Systems | Development | Analytics | API | Testing

How to bridge the gap between humans and AI

Jun 19, 2024 By ThoughtSpot In ThoughtSpot
In this episode, hear Sadie St. Lawrence’s thoughts on how to effectively leverage Generative AI at work by asking the right questions, and how the technology can help you to expand on your divergent thinking. There’s so much more to the future of work with Generative AI now at its core. Sadie shares where we’re headed, and how we can bridge the gap between humans and AI.
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yellowfin

How to Modernize Your Legacy BI Tools with Embedded Analytics

Jun 18, 2024 By Yellowfin Team In Yellowfin
Whether you’re an independent software vendor (ISV) or enterprise-sized company, you want the analytics software you invested in to enhance your users’ decision-making, open up greater access to key data, and improve operational performance for the long-term. However, continuously achieving these business outcomes requires a modern solution. Many organizations still rely on older business intelligence (BI) tools for reporting due to long-term licensing.
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What is a Headless Data Architecture?

Jun 18, 2024 By Confluent In Confluent
The headless data architecture. Is it a fad? Some marketecture? Or something real? In this video, Adam Bellemare takes you through the basics of the headless data architecture and why it’s beginning to emerge as its own respective pattern. Driven by the decoupling of data computation from storage, the headless data architecture provides the basis for a modular data ecosystem. Stream your data for near real-time low latency use cases, or convert it to an Iceberg table for analytical use cases.
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cloudera

Empowering Enterprise Generative AI with Flexibility: Navigating the Model Landscape

Jun 18, 2024 By Robert Hryniewicz In Cloudera
The world of Generative AI (GenAI) is rapidly evolving, with a wide array of models available for businesses to leverage. These models can be broadly categorized into two types: closed-source (proprietary) and open-source models. Closed-source models, such as OpenAI’s GPT-4o, Anthropic’s Claude 3, or Google’s Gemini 1.5 Pro, are developed and maintained by private and public companies.
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super monitoring

Insightful: Mastering Workforce Analytics for Growth

Jun 17, 2024 By Super Monitoring In Super Monitoring
In the dynamic world of technology, managing and optimizing workforce productivity is a challenge for many organizations. Insightful, a leading workforce analytics and productivity software, is designed to address this challenge by providing actionable data insights. This review will delve into the features, pricing, pros, and cons of Insightful, a tool that is transforming the way organizations manage their teams.
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snowflake

Streamlit in Snowflake: Improved Customization, Performance and AI Capabilities

Jun 17, 2024 By Abhi Saini In Snowflake
Snowflake’s mission is to mobilize the entire world’s data, and there are millions of data scientists and developers who don’t have access to full-stack engineering teams. It’s been our endeavor to bring the power of the AI Data Cloud to every individual developer, data scientist and machine learning engineer, so that they can build and share world-class data apps — all by themselves. Streamlit is an open source library that turns Python scripts into shareable web apps.
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confluent

How to Turn a REST API Into a Data Stream with Kafka and Flink

Jun 17, 2024 By GitHub repo In Confluent
In the space of APIs for consuming up-to-date data (say, events or state available within an hour of occurring) many API paradigms exist. There are file- or object-based paradigms, e.g., S3 access. There’s database access, e.g., direct Snowflake access. Last, we have decoupled client-server APIs, e.g., REST APIs, gRPC, webhooks, and streaming APIs.
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hitachi vantara

Simple, Sustainable, and Secure Storage for Mid-sized Enterprises

Jun 14, 2024 By Greg Bucyk In Hitachi Vantara
The mid-sized enterprise is the fastest-growing market opportunity for data storage. But not just any storage system will do. These days, mid-sized enterprises must handle the complexities of unremitting data growth and distributed infrastructure, meet sustainability goals, manage the diverse storage needs of mission-critical applications, and respond to user requirements. Oh, and they need uninterrupted access to their data no matter what.
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