Announcing insideAI NEWS – Illuminating AI’s Frontiers: Your Go-To News Destination

insideBIGDATA, the leading source for news and insights about artificial intelligence, is proud to announce the relaunch and rebranding of the publication as insideAI News. The revamped platform will offer comprehensive coverage of AI  technology and implementation strategies across multiple industries, including healthcare, security, financial services, automation, and agriculture.

From the Office to the Shop Floor – the Impact of AI-powered Technologies in the Supply Chain Industry

In this contributed article, Andrei Danescu, Co-Founder & CEO of robotics and data intelligence company, Dexory, suggests that it is no surprise that AI has found its place in various industries from finance and healthcare related industries, all the way to manufacturing and supply chains. Its seamless integration with existing technologies is driving the widespread adoption we are witnessing today.

Hitachi Vantara Announces Collaboration with NVIDIA to Create New Portfolio of Industrial AI Solutions

Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd. (TSE: 6501), today announced a collaboration with NVIDIA to create a new generation of transformational artificial intelligence (AI) solutions. Hitachi Vantara will develop a portfolio of solutions, Hitachi iQ, to drive targeted AI outcomes by layering industry-specific capabilities on top of its AI solution stack, so outcomes can be more specific and relevant to an organization’s business. 

The Future of Applied AI in 2024: Transforming Healthcare, Energy, and Supply Chain with Tangible Outcomes

In this contribute article, Nick King, CEO and Founder of Data Kinetic, believes that 2024 holds great promise for Applied AI as it integrates into various sectors, transforming manufacturing, healthcare, energy, and beyond. However, as we move forward in this AI-driven future, addressing concerns such as misleading marketing, complex interactions, the need for guardrails and transparency, and the importance of meaningful AI education is crucial.

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.

Revolutionizing Supply Chain Management: The Power of AI in Strategic Sourcing and Inventory Optimization

In this contributed article, Rudrendu Kumar Paul, AI Expert and Applied ML industry professional, explores the transformative role of AI in strategic sourcing, inventory management, and risk management within supply chain operations. The article highlights how AI can optimize these processes, leading to more efficient and effective operations. A focus is on AI’s ability to analyze vast amounts of data and generate actionable insights; examples of its application in predicting supplier performance, optimizing inventory levels, and identifying and mitigating supply chain risks. Also included are the benefits of applications of AI in supply chain management, importance of businesses to explore and adopt AI tools to stay competitive in today’s complex business environment.

5 Benefits Of Machine Learning For Manufacturers

In this special guest feature, Eric Whitley, Director of Smart Manufacturing at L2L, believes that machine learning is so powerful precisely because it grows machine knowledge in a continuous feedback loop and becomes exponentially smarter. But what can it do for your business? This article will provide insights into the five benefits of machine learning for manufacturers.

insideAI News Guide to Computer Aided Engineering

[SPONSORED POST] The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, “insideAI News Guide to Computer Aided Engineering,” sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.

How AI/ML Can Improve Manufacturing Operations

In this special guest feature, Stuart Gillen, Senior Manager at Kalypso, offers a few ways manufacturing organizations can leverage predictive maintenance to identify potential issues, reduce the occurrence and length of unplanned downtime, and get the most value from assets and budgets.

Incident prevention with Big Data in Manufacturing

In this special guest feature, Edwin Elmendorp, Information Architect, Kinsmen Group, points out that many opportunities exist for using BIG data technologies in manufacturing, while some are still in a research phase, others are usable products that offer cost beneficial approached available for small and large organizations by using modern platforms.