learning

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, with input from government, academics and the Big Innovation Centre, 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.

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

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.

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.

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.

Stories and statistics behind successful analytics projects The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries. Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data. The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.

Download this white paper to learn the true cost of not having a talent management onboarding strategy.

Download this white paper to learn the importance of a talent management performance strategy.

Are you managing people with spreadsheets and paper because you think it saves you time and money? The reality is it's probably costing you a lot more than you think. Read this white paper to see how.

The supply chain generates huge volumes of data captured in ERP, CRM, demand planning and other systems. Download this whitepaper to learn how FusionOps Machine Learning can provide companies with a more accurate, granular understanding of their business by harmonizing these disparate data sources in the cloud, and applying machine learning algorithms.

To compete in today’s global marketplace, employees at every level of your organisation need to understand the risks associated with a broad spectrum of compliance issues and feel empowered to make the right decisions - even when no one is watching.

This white paper explains how training apps are emerging as an important component of any organisation’s ongoing digital transformation.

This white paper explains how training apps are emerging as an important component of any organisation’s ongoing digital transformation.

This white paper explains how training apps are emerging as an important component of any organisation’s ongoing digital transformation.

La industria de los productos de consumo está experimentando una gran transformación. Los consumidores demandan experiencias que ofrezcan confianza, alegía y protección – aunque son menos tangibles– estos son los impulsores que definirán el exito. Es por eso que las compañías de productos de consumo necesitan reimaginar todo, desde el compromiso del consumidor y las operaciones hasta la innovación de los productos. Las tecnologías emergentes como el Internet de las Cosas, Machine Learning e Inteligencia Artificial, pueden ayudar a guiar el rumbo de este cambio e impulsar el éxito del mismo.

DevOps cuts deep and wide through industries, company sizes, and technology environments. Yet, DevOps is never done — it’s about continual learning and improvement rather than an end state. Puppet is here to help. We draw on the success stories and lessons learned at organizations that are already driving improved performance and better business outcomes with their DevOps initiatives. This handbook captures five essential phases for mapping out a DevOps journey: 1. Build the business case for DevOps. 2. Address the biggest challenges to DevOps success. 3. Develop a performance-driven team structure. 4. Choose the right Tools and processes. 5. Plan your key implementation phases.