In this contributed article, Chris Round, Senior Product Manager at Lakeside Software, suggests that AI’s critical flaw is that it doesn’t know good data from bad – it just knows data. So your AI is only as good as its underlying foundations.
Unlocking AI’s Potential: How to Build High-quality Data Foundations
AI in Banking – How Artificial Intelligence is Used in Banks
In this contributed article, Ishan Gupta. CEO and Co-founder of RipenApps, discusses how banks have historically been at the forefront of technological advancements, they are renowned for using computers as well as providing internet-based financial services. However, the rise of AI has brought with it a new dawn of innovations. These days, AI is disrupting the entire banking sector in several ways.
Business Leaders Must Prioritize Data Quality to Ensure Lasting AI Implementation
In this contributed article, Subbiah Muthiah, CTO of Emerging Technologies at Qualitest, takes a deep dive into how raw data can throw specialized AI into disarray. While raw data has its uses, properly processed data is vital to the success of niche AI. Industries such as medical, legal, and pharma require data that is contextualized, categorized, and verified. Business leaders must master data processing to succeed in an AI-powered world.
Yellow.ai Study Unveils Growing Confidence in AI-First Automation Among North American Customer Service Executives
Yellow.ai, a global leader in AI-first customer service automation, has unveiled research titled ‘Betting Big on AI-First: Insights from Customer Service Leaders.’ The study sheds light on AI adoption trends within North American customer service operations and contact centers. According to the findings, an impressive 84.5% of respondents either plan to or are already leveraging AI, underscoring its pivotal role in shaping the industry’s future.
Down on the Digital Farm: How AI is Plowing the Fields of Agricultural Innovation
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses how AI is transforming the agriculture industry. It’s an exciting time down on the digital farm, and who knows what the future might bring?
Qlik Releases Qlik Talend Cloud, Providing Reliable AI Foundations for the Modern Enterprise
Qlik®, a global leader in data integration, analytics, and artificial intelligence (AI), announced the general availability of Qlik Talend Cloud, a comprehensive integrated solution designed to enhance data trust and accessibility for AI value creation at scale. Underpinned by trusted Qlik and Talend® technologies, trusted by some of the world’s largest brands, Qlik Talend Cloud is designed to facilitate responsible enterprise AI adoption.
Storj Acquires Leading AI Compute Provider, Valdi
Storj announced a new era in distributed cloud innovation with the acquisition of Valdi. Storj is a leader in distributed cloud object storage, disrupting the $100 billion cloud storage market, delivering up to 90% cost savings and 90% less carbon emissions for customers. Valdi is the leader in on-demand high performance cloud computing (GPUs) widely used for AI training and inference in data-intensive industries like technology, research and life-sciences.
The Tech Tracking 2024 Presidential Ad Campaigns
A new searchable database allows the public to examine groups running social media ads that mention U.S. presidential candidates, including secretly coordinated pages that are running identical videos or messages. The project is supported by a grant and use of analytics software from Neo4j, a leading graph database and analytics company.
New Alluxio Enterprise AI Innovations Accelerate GPUs Anywhere with 97%+ GPU Utilization
Alluxio, the developer of the open-source data platform, announced the immediate availability of the latest enhancements in Alluxio Enterprise AI. Version 3.2 showcases the platform’s capability to utilize GPU resources universally, improvements in I/O performance, and competitive end-to-end performance with HPC storage.
GridGain Advances Its Unified Real-Time Data Platform to Help Enterprises Accelerate AI-Driven Data Processing
GridGain® announced version 9 of the GridGain Unified Real-Time Data Platform. Building on the proven multi-dimensional data processing and analytics capabilities of version 8, GridGain 9 delivers the most stable, resilient, and high-performant solution for ultra-low latency data applications, powering the extreme speed, scale, durability and reliability critical to modern enterprise use cases and AI.