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New Report: The ROI of High-Quality Training Data

With the massive amounts of investment in AI made by enterprises in recent years – and the acceleration of digital transformation across organizations to address shifts in user behavior – LXT’s goal with their new report on the ROI of high-quality training data was to understand the impact of these trends in terms of AI maturity, along with the drivers for AI and the success factors for these initiatives.

Digital Dark Data: What the Construction Industry Should be Looking for 

In this special guest feature, Richard Harpham, Vice President of Slate Technologies, outlines the digital “dark data” construction and real estate companies need to know about and how AI can help reveal them. By using these tools in precise ways, they can help eliminate construction waste and save sites millions of dollars in the long term.

MLPerf Results Highlight More Capable ML Training

Today, MLCommons®, an open engineering consortium, released new results from MLPerf™ Training v2.0, which measures the performance of training machine learning models. Training models empowers researchers to unlock new capabilities faster such as diagnosing tumors, automatic speech recognition or improving movie recommendations. The latest MLPerf Training results demonstrate broad industry participation and up to 1.8X greater performance ultimately paving the way for more capable intelligent systems to benefit society at large.

What Is Data Reliability Engineering?

In this contributed article, Kyle Kirwan, CEO and co-founder of Bigeye, discusses Data Reliability Engineering (DRE), the work done to keep data pipelines delivering fresh and high-quality input data to the users and applications that depend on them. The goal of DRE is to allow for iteration on data infrastructure, the logical data model, etc. as quickly as possible, while—and this is the key part! —still guaranteeing that the data is usable for the applications that depend on it.

insideBIGDATA Latest News – 6/27/2022

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Survey Results Identifying the Benefits and Challenges of RPA

Robocorp, a top provider of Gen2 robotic process automation (RPA), announced the results of their State of RPA survey, which was designed to understand the challenges users face with current RPA solutions. The results will help usher in the next generation of enterprise automation – Gen2 RPA.

How is IoT Changing the Future of Cruising?

In this special guest feature, Ian Richardson, CEO & Co-Founder, theICEway, discusses how as the world continues to open for travel, cruise industry leaders are looking to leverage the next wave of travel technology to improve the passenger experience.

More Than You Know: The Enterprise Worth of Natural Language Generation 

In this contributed article, editorial consultant Jelani Harper highlights how Natural Language Generation (NLG) is arguably the nexus point of natural language technologies. It utilizes Natural Language Processing (NLP), is a prerequisite for conversational AI, and largely requires Natural Language Understanding (NLU) for meaningful responses to interrogatives or commands.

“Above the Trend Line” – Your Industry Rumor Central for 6/23/2022

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Dataiku 11 Unveils Enhanced Toolset to Scale AI 

Dataiku announced Dataiku 11, a pivotal update of the company’s data science and AI platform that helps organizations to deliver on the promise of Everyday AI. This packed release provides new capabilities for expert teams to deliver more value at scale, enables tech-savvy workers to take on more expansive challenges, helps non-technical workers more easily engage with AI, and provides strengthened AI Governance to ensure projects are robust, transparent, and ready for success at scale.