[SPONSORED POST] Our friends over at DAC recently explored the potential of LLMs to interpret or generate text considering numerous parameters with extraordinary precision. They have demonstrated their ability to evaluate unstructured text blocks and grade them along various scales to great success. Additionally, they have been able to generate specific, tailored content using a complex series of instructions that can be tuned with precision to the same set of scales.
The Future-Proofed Datacenter: DDC Delivers 85kW Air-Cooled Density for AI and HPC Workloads
[SPONSORED POST] At DDC, the global leader in scalable datacenter-to-edge solutions, we are taking an innovative approach to building new and retrofitting legacy datacenters. Today, our patented cabinet technology can be deployed in nearly any environment or facility and supports one of the highest-density, air-cooled thermal loads—85kW per cabinet—on the market. In a recent deployment with TierPoint, a US-based colocation provider, we are supporting a 26,000 sq ft facility augmentation outside of Allentown, PA.
Kickstart Your Business to the Next Level with AI Inferencing
The need to accelerate AI initiatives is real and widespread across all industries. The ability to integrate and deploy AI inferencing with pre-trained models can reduce development time with scalable secure solutions that would revolutionize how easily you can capture, store, analyze, and use data to be more competitive.
Achieving Faster Time To Insights with Modern Data Pipelines
In this sponsored post, Devika Garg, PhD, Senior Solutions Marketing Manager for Analytics at Pure Storage, believes that in the current era of data-driven transformation, IT leaders must embrace complexity by simplifying their analytics and data footprint. Data pipelines allow IT leaders to optimize data and maximize value for faster analytic insights. When paired with the right storage solution, IT leaders can modernize their pipelines and consolidate data into a central and accessible layer – breaking through silos and delivering the real-time insights that drive true business advantage. Modern data analytics fuel digital-first organizations to unlock faster insights – is your infrastructure keeping pace?
Why Car Storage Depends on the Right Workload Analysis
In this sponsored post, Russell Ruben, director of automotive and emerging segment market, Western Digital, believes that as vehicle innovation continues over the next few years, driven by advances in sensors, 5G, AI, machine and deep learning and big data analytics, so must storage. Storage technology needs to keep up with the rapid pace of development as it becomes increasingly critical to support more and more demanding applications with mixed usages than ever before.
Improving Product Quality with AI-based Video Analytics: HPE, NVIDIA and Relimetrics Automate Quality Control in European Manufacturing Facility
Manufacturers are using the power of AI and video analytics to enable better quality control and traceability of quality issues, bringing them one step closer to achieving zero defects and reducing the downstream impacts of poor product quality. Together, HPE, NVIDIA and Relimetrics enable customers to adapt to high production variability and velocity with faster, more accurate, automated inspection processes.
Interview: John Shaw, CEO, Add Value Machine, Inc.
In this exclusive feature, we’re thrilled to introduce John Shaw, CEO of Add Value Machine (shortly AVM). As a seasoned tech entrepreneur and AI visionary, John is at the helm of AVM’s mission to revolutionize the way businesses utilize Generative AI. The company is dedicated to developing a secure and compliant platform, addressing a critical need for enterprises and accelerating the adoption of AI to drive substantial business value. Throughout this interview, John shares insights about AVM’s unique approach, its value proposition, and how it navigates the evolving landscape of Generative AI.
Busting Data Observability Myths
In this sponsored article, Rohit Choudhary, co-founder and CEO of Acceldata, breaks down four common myths and misconceptions around observability. In today’s economic climate, many companies are tightening their belts. They need solutions that help them run their business efficiently, smoothly, and reliably in order to maximize impact and keep customers happy. Data is every company’s most valuable asset, and data observability tools are indispensable for keeping an eye on data health and ensuring business continuity.
AI Empowers Microfinance: Revolutionizing Fraud Detection
In this sponsored article, Dmitry Dolgorukov, CRO and Co-Founder of HES FinTech, suggesets that to effectively combat fraud, microfinance institutions must establish robust fraud detection systems. Early detection and prevention of fraudulent activities are vital in minimizing financial impact and safeguarding the funds of vulnerable customers. Microfinance institutions face a significant menace in the form of fraudulent activities, endangering their provision of financial services to underserved communities. Fraud not only leads to substantial financial losses but also erodes trust in the system, impeding the mission of microfinance institutions to foster inclusive growth and alleviate poverty.
Slidecast: Ashwin Rajeeva, Co-founder & CTO of Acceldata Discusses Data Observability
In this slidecast presentation, Ashwin Rajeev from Acceldata describes the company’s data observability solutions. Acceldata solutions allow you to gain comprehensive insights into your data stack to improve data and pipeline reliability, platform performance, and spend efficiency.