Barbara

According to Gartner, “The technology or service offering must be innovative, impactful and available for purchase for a Cool Vendor.” With Barbara, companies can deploy, run, and manage their models across distributed locations, as easily as in the cloud.

Joining NVIDIA Inception will provide Barbara with support for enhancing the platform’s computing performance and increase its cybersecurity levels. The program will also offer Barbara the opportunity to collaborate with industry-leading experts and other AI-driven organizations.

The two industry leaders will deploy AI to ensure private, secure, real-time digital transformation. The partnership will leverage real-time data processing and local storage to accelerate the time to market for intelligent, cyber-secure and decentralized applications for Industry 4.0.

As thousands of millions of assets are connected to the Internet the industrial world faces new challenges when it comes to connectivity and cybersecurity for real-time automation and decision making . In this talk we address the key role of an Edge Platform as a solution to overcome the Data Gravity issue of the Cloud.

By 2025, a staggering 75% of enterprise data will be created at the edge. Moreover, by 2027, deep learning will be in over 65% of edge use cases. As the volume of data continues to increase, computing is shifting towards the edge. This presents a unique opportunity for AI /ML Teams to learn and adopt best practices in implementing Machine Learning in the Edge. Learn more and replay our webinar on The Cutting Edge of MLOps.

Companies are increasingly interested in virtualizing electrical equipment because it offers a range of benefits for their operations. Virtualization reduces the need for physical infrastructure, which can result in cost savings, reduced maintenance requirements, and increased safety. We will be at CIRED 2023, showcasing how to virtualize substations from Transmission to Middle and Low Voltage networks through Edge Computing Technology.

With the increased number of distributed energy resources DERs onto the grid, energy operators need a predictive system based on consumption and production patterns to help them avoid congestion and overvoltage events in the grid. In this article, we cover a specific project we are running under the i-nergy programme, an EU-funded initiative aiming to support and develop new AI-based Energy Services.

Be part of MLOps at the Edge. This survey is an opportunity to be part of the 1st global MLOps report for ML/ AI teams. If you want to stay abreast of AI deployment at scale, join and take part in this survey.

The main goal of virtualization is to provide a new operational environment, which is not bound to any computer hardware or operating system. Hardware components are typically designed to be robust and reliable, but they can also be expensive and difficult to modify or upgrade. Separating hardware from software allows for the software to be updated or modified without affecting the hardware.

Replay this webinar given by some of the top leaders in AI in Spain about the most important Machine Learning applications and how their deployment is getting closer to the source of data to ensure privacy and enable real-time decision making.

Gartner's Emerging Technologies and Trends Impact Radar shows IT leaders where to capitalize on market opportunities. Its latest feature for 2023 points to EDGE AI as the next breakthrough technology. With the growing demand for real-time AI solutions and the need for decentralized data processing, AI at the Edge has been positioned as a critical technology this year.

Do you want to know how you can monitor all your distributed assets and regain control over them? Join us on April 18th at 17:30 to our DEMO & BEERS together with Mytra at Advanced Factories.