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.

insideBIGDATA 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, “insideBIGDATA 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.

Procurement Turns to AI to Navigate Supply Chain Upheaval

In this special guest feature, Ophelia Otto, scoutbee Industry Relations Lead, discusses AI technology can bring a business operation like procurement from the stone age to the modern age by allowing teams to rely on automation rather than placing all bets on little black books and outdated spreadsheets.

Embracing and Leveraging the Data-Driven Pressure in Industry 4.0

In this special guest feature, John Joseph, CEO & Co-founder of Datanomix, explores why real-time actionable manufacturing data is needed for the entire organization to determine the true quote to cost value, how leveraging data analytics that can be learned, consumed, and responded to in seconds, not minutes or hours will set factories ahead – especially post COVID-19, and how to leverage data to make smarter business decisions and better quote to cash estimates.