In this contributed article, Prasad Venkatachar, Sr Director – Products & Solutions at Pliops, discusses how modern data-intensive applications that include E-commerce, Social Networking, Messaging, and online gaming services heavily depend on Key-Value stores. All these business-critical applications demand state-of-the-art data storage and processing infrastructure to serve the data at high throughput with low latency and highly fault-tolerant and yet cost-effective. To achieve this blend of high performance and cost effectiveness, we must fundamentally reimagine how data is stored and processed at scale and speed. This article will cover how organizations can accomplish these design objectives and architect state-of-the-art data storage and processing infrastructure.
Rethinking How Data is Stored and Processed Brings Scale and Speed to Modern Data-Intensive Applications
Heard on the Street – 11/27/2023
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
O’Reilly Releases 2023 Generative AI in the Enterprise Report
O’Reilly, the source for insight-driven learning in technology and business, released the findings of a global survey of more than 2,800 technology professionals on the realities of generative AI in the enterprise. The Generative AI in the Enterprise report explores how companies use generative AI, the bottlenecks holding back adoption, and the skills gaps that should be addressed to move these technologies forward. The full report is now available for free download.
Emerging Tools and Frameworks in AI: A Comparative Analysis
In this contributed article, graphic designer and content writer, Erika Ballo delves into some emerging tools and frameworks in AI, comparing their strengths, usability, and ideal use cases.
New Report: The Definitive Guide to Large Language Models and High-Performance Marketing Content
Phrasee, a leading innovator in brand language optimization, just released a new white paper “The Definitive Guide to Large Language Models and High-Performance Marketing Content,” on how enterprise marketers can build an in-house LLM solution and use it at its full potential.
insideBIGDATA AI News Briefs – 11/22/2023
Welcome insideBIGDATA AI News Briefs, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies. We know this field is advancing rapidly and we want to bring you a regular resource to keep you informed and state-of-the-art.
Generative AI Report – 11/21/2023
Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.
GenAI’s Role in Testing
In this contributed article, David Brooks, SVP of Evangelism at Copado, discusses how much has been said about AI’s ability to generate code. But what is often overlooked is its ability to generate test scripts as well. Test scripts are susceptible to hallucinations just like code. So while GenAI can easily create the script, it is your responsibility to review the results.
The Future of AI Startups: Explainability Is Your Competitive Edge
In this contributed article, Lucas Bonatto, Director of Engineering for AI and ML at Semantix, discusses how generative AI applications extend from physiotherapists using text-to-video tools demonstrating patient recovery exercises to coding Q&As that decrease network language complexity. These pre-trained ML solutions, which previously required highly skilled teams to train, close the gap between tech giants and digital novices—but that’s if they understand the fine print.
New IDC Survey: 75% Expect to Gain Value from AI Decision Making
IDC estimates that organizations worldwide will spend $290 billion on data management, analytics, and AI technology – but is there enough return on the investment? In this feature article we share findings from a new IDC survey looking at the ROI in AI-powered decision making –- known in the market as decision intelligence. IDC contrasts leaders operationalizing and gaining outcomes through better, faster decisions, and challenges that exist. Enterprises already tapping decision intelligence are improving business metrics up to 20%. The survey also found 75% expect to gain significant benefits through future decision intelligence initiatives.
