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The global electronics industry is the cornerstone of the digital economy and the Internet of Things (IoT). Electronic devices act as conduits for users’ digital experiences, which are now seamlessly enabled and updated in the cloud. The industry’s digital device success has also introduced its latest challenge: going beyond the device. Leveraging data to drive insights is key to delivering greater value. Doing so requires electronics firms to flawlessly integrate hardware, software, services and data while learning from and adapting to users. Through Digital ReinventionTM, they can combine digital approaches and data by design to drive new capabilities, changing business from the ground up

A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance. Superior business outcomes require businesses to consider IT a core competency. For IT, an agile, elastic, and scalable IT infrastructure forms the crucial underpinning for a superior service delivery model. The more up to date the infrastructure, the more capable it is of supporting the scale and complexity of a changing application landscape. Current-generation applications must be supplemented and eventually supplanted with next-generation (also known as cloud-native) applications — each with very different infrastructure requirements. Keeping infrastructure up

This white paper provides an overview of Cloud service providers and outlines three key learnings for dealing with them effectively. Discover what connects cloud service providers with traditional software vendors Download to explore 3 key differences.

No one knows what a future AI-filled society will look like, but we do know the transformations will be mind-blowing. What skills and capabilities must your organisation build to survive and prosper? Read our ‘Learning to Learn’ report, to discover: how AI will change the way economies, societies and businesses operate how AI will change the skills your workforce needs in the 21st century what AI means for the way we learn how AI will change the role of the HR function for ever.

This ESG Technical Review documents evaluation of Dell EMC Ready Solutions for AI. We focused on understanding the performance and ease of use of the Ready Solutions for AI with optimized designs for machine learning and deep learning. To validate the full stack performance, we measured the number of images per second processed when training the AlexNet and ResNet50 deep learning networks and evaluated how the integrated solutions can simplify and accelerate AI deployment. The Deep Learning with NVIDIA design featuring Isilon significantly outperformed the competition in training time, delivering 2.9 times the performance of one competitor for an AlexNet deep learning neural network in a GPU accelerated environment and 2.3 times another competitor for a ResNet50 deep learning neural network.

Join Oracle’s CX and Marketing Strategy Director, Wendy Hogan, and Senior Vice President Oracle Marketing, Shashi Seth, as they tell how AI, machine learning and data science can engage customers, automate tasks and build ROI. Reaching the right customers on the right channel at the right time, brings rewards for CMOs who embrace these innovations, including engaged customers and increased ROI. Be inspired by the new-generation AI, machine learning and data science and take your marketing to the next level.

This ESG Technical Review documents evaluation of Dell EMC Ready Solutions for AI. We focused on understanding the performance and ease of use of the Ready Solutions for AI with optimized designs for machine learning and deep learning. To validate the full stack performance, we measured the number of images per second processed when training the AlexNet and ResNet50 deep learning networks and evaluated how the integrated solutions can simplify and accelerate AI deployment. The Deep Learning with NVIDIA design featuring Isilon significantly outperformed the competition in training time, delivering 2.9 times the performance of one competitor for an AlexNet deep learning neural network in a GPU accelerated environment and 2.3 times another competitor for a ResNet50 deep learning neural network.

What if your database could install, manage, secure, and upgrade itself—with little or no manual administration required? Now it’s possible, thanks to machine learning, artificial intelligence and the power of the cloud. Discover how the Oracle Autonomous Database is: • Self-driving: Tell it the service level you want to achieve, and it does the rest. • Self-securing: It installs patches automatically and uses AI to counter threats. • Self-repairing: It patches, scales, and tunes itself while your operations are running, to deliver 99.995% uptime. Discover the power of autonomous data management. Download now.

Glossary:Terms You Should Know Take your data analysis and deep learning expertise to the next level with these industry terms.

On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:

By processing real-time data from machine sensors using arti?cial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.

Gradient Boosting Machine (GBM) modeling is a powerful machine learning technique for advanced root cause analysis in manufacturing. It will uncover problems that would be missed by regression-based statistical modelling techniques and single tree methods, but can easily be used by analysts with no expertise in statistics and modelling to solve complex problems. It is an excellent choice for advanced equipment commonality analysis and will detect interactions between process factors (for example, machines, recipes, process dates) that are responsible for bad product. It can also be used to identify complex nonlinear relationships and interactions between product quality measurements (for example, yield, defects, field returns) and upstream measurements from the product, process, equipment, component, material, or environment.

Whether you know it as Industry 4.0, the 4th Industrial Revolution, or Smart Industry, Manufacturing is going through a deep transformation, with changes that are centered around digitalization. While most industries are already on this digitalization path, the disruption is more visible and pronounced in manufacturing because it is expanding virtual data and processes into environments that have been fundamentally about physical products. This transformation has already started, and its impact is expected to be massive. Technical, economic, and social changes are expected across the whole manufacturing ecosystem, with jobs shifting from offshoring back to nearshoring. Strong technology elements driving this digital revolution include 3D printing, robotizing and automation, smart factory with IoT and machine learning, and supply chain digitization. Their impact is profound.

Learn how to harness the power of machine learning to boost productivity.

Selecting the best computing solutions within higher education can be a challenge with so many uses and options today. This use case guide takes into consideration higher education needs regarding form factor and key features. Take a look at this guide to learn how the computing choices made can facilitate the student learning environment whether in computer labs, in interactive learning spaces, or if learning takes place on the go via academic-related activities with digital signage located in the hallway. Read this paper today to find out the best desktop and display solutions to meet the needs of university and college students.

Selecting the best computing solutions within K-12 education can be a challenge with so many uses and options available. This use case guide takes into consideration the specific needs within K-12 education environments. Whether seeking the best fit devices for STEM labs, looking to create interactive learning spaces, or fulfilling the design needs of today’s interactive classrooms, the uses are varied and there is not a one size fits all approach. Download this guide to learn how the computing choices made can facilitate the teaching and learning environments via the Dell™ OptiPlex™ family of devices. Learn which solutions are recommended for different use cases within the K-12 education world.

When integrated into a vision of what learning should be, technology can help educators deliver flexible, ondemand approaches that support individual learning styles and help drive a passion for learning.

Selecting the best computing solutions within higher education can be a challenge with so many uses and options today. This use case guide takes into consideration higher education needs regarding form factor and key features. Take a look at this guide to learn how the computing choices made can facilitate the student learning environment whether in computer labs, in interactive learning spaces, or if learning takes place on the go via academic-related activities with digital signage located in the hallway. Read this paper today to find out the best desktop and display solutions to meet the needs of university and college students. Intel Inside®. Powerful Productivity Outside. Intel® Xeon® processor Intel, the Intel logo, Xeon and Xeon Inside are the trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

Emerging technologies and automation permeate every aspect of our work and lives today. The real opportunity of these technologies — which include artificial intelligence (AI), machine learning, the Internet of Things (IoT), and human interfaces — is to enable us to embrace innovation on a scale never seen before. These technologies help us reimagine what’s possible in work and in life - from self-driving cars and personalized medicine to precision agriculture and smart cities that are changing the way we experience our world. Autonomous opens a new world of opportunities for enterprises. Autonomous Database for Dummies consists of five chapters that describe emerging technology trends and the business value of autonomous. Download this whitepaper to discover the business value of autonomous, Deploy a data warehouse in seconds and more!

Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business. Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.

Les technologies d'intelligence artificielle telles que l'apprentissage machine et le Deep Learning permettent d'obtenir des informations et de la précision à deux marques majeures dans des secteurs très différents : la santé et les assurances. Des théories sur les futures incidences de l'intelligence artificielle (IA) sur les entreprises et la société vont florissantes. Mais la réalité du terrain aujourd'hui pour les entreprises et les dirigeants appliquant des technologies comme l'apprentissage machine et l'apprentissage profond à leurs enjeux majeurs est déjà très enthousiasmante. Les modèles de fonctionnement sont refondés en se basant sur les informations obtenues de puissantes capacités cognitives. De nouveaux produits et services améliorent l'expérience client, voire la condition humaine. D'une façon très concrète et significative, l'IA change le monde pour le meilleur.

AI-Technologien wie Machine Learning und Deep Learning liefern zwei großen Marken in zwei sehr unterschiedlichen Branchen – Gesundheit und Versicherungen – Insights und Genauigkeit. Theorien zu den zukünftigen Auswirkungen künstlicher Intelligenz (AI) auf die Geschäftswelt und die Gesellschaft sind allgegenwärtig. Aber die Realität, wie Unternehmen sie kennen, die Technologien wie Machine Learning und Deep Learning anwenden, ist schon aufregend genug. Geschäftsmodelle werden anhand der Insights umgestaltet, die durch die leistungsstarken kognitiven Funktionen generiert werden. Neue Produkte und Dienstleistungen verbessern das Benutzererlebnis – um nicht zu sagen die menschliche Existenz. Auf sehr reale und bedeutsame Weise verbessert AI die Welt.

As your organization’s finance leader, the opportunity to better understand the landscape and your business has never been greater. Advances in analytics—powered by digital technologies, such as automation and machine learning—give finance teams deeper business insights. Read the story.

Following are best practices amassed through working with leading global companies on learning initiatives.

Download this case study now to see how Jonckers Translation & Engineering was able to help this customer meet its localization objectives.