digital learning

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Published By: Larsen & Toubro Infotech(LTI)     Published Date: Feb 20, 2020
The greatest challenge is to identify where AI will have the maximum impact and reap the greatest benefits; what type of AI initiatives the business should be undertaking; and how to implement Smart Automation as a step towards becoming an Intelligent Enterprise. Applications of AI cover a wide range of functional areas, so organizations must decide where AI will have the biggest impact. This will typically be in value added business areas: for example, in retail organizations it will be the marketing and sales function; in advanced manufacturing it will be in operations. Organizations with a “cloud first” strategy have a head start with AI. Deploying ERP on the cloud and cloud-ERPs is an essential requirement in the transformation towards a digital Intelligent Enterprise. These organizations can deploy and leverage multiple technologies: the Internet of Things (IoT), Machine Learning, Chatbots, Predictive Maintenance, Blockchain and Big Data.
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Larsen & Toubro Infotech(LTI)
Published By: Entrust Datacard     Published Date: Mar 20, 2017
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
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Entrust Datacard
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 14, 2020
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Box     Published Date: Jun 22, 2018
• Facing a myriad of challenges from digital transformation, business today are making big bets on the best collaboration tools they need on hand to meet those challenges. From employee buy-in, to machine-learning capabilities, to security, it's important to select a service with the right capabilities to further your business goals. The challenge, however, is that with so many services to choose from it can be difficult to figure out which one is the right fit for your business. • This eBook, 5 Considerations in Choosing a Collaboration Platform in the Digital Age, will walk you through the ins and outs of what to keep in mind as you choose the best collaboration platform for you.
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Box
Published By: Lenovo and Intel®     Published Date: Apr 28, 2017
Be ready for digital learning today, and tomorrow. Building efficient, impactful, future-ready districts takes planning. Our checklist, Digital District Leadership in Five Steps, helps you get started by asking the questions needed to identify new learning opportunities supported by technology. • How can new content engage students? • How robust is your network? • Do you have the right technology resources across classrooms? Let’s get started now. Download this checklist.
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lenovo, digital district, digital learning, classroom technology, digital classroom, learning opportunities, digital district leadership, student engagement
    
Lenovo and Intel®
Published By: Lenovo and Intel®     Published Date: Apr 28, 2017
Teachers face ever-increasing pressure over the integration of technology into both daily classroom management and long-term instructional strategies. Add to these demands the increasing complexity of digital learning environments. Luckily, the right technology can go a long way toward the goal of meeting diverse needs with simplicity, helping empower teachers. Download this guide to learn more.
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lenovo, digital classroom, classroom technology, diverse needs, classroom management, education
    
Lenovo and Intel®
Published By: SAP     Published Date: Apr 03, 2017
Explore this e-book to find out how blending formal and informal learning via collaboration can help your organization in the following areas: Overcoming the Economics of Learning Creating a Culture of Learning Enhancing Employee Engagement
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collaboration, hcm, cloud, digital transformation, employee engagement, transformational learning, learning, content
    
SAP
Published By: IBM     Published Date: Mar 28, 2018
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
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IBM
Published By: Dell Bedrock     Published Date: Feb 17, 2020
Il campo dell'analisi consente da tempo alle aziende di estrarre valore dai propri dati. Date le esigenze competitive della moderna economia digitale, tuttavia, le aziende vogliono e devono fare di più. Spinte dal desiderio di una maggiore precisione insieme a informazioni più veloci, predittive e granulari, le aziende si rivolgono al campo in rapido progresso dell'intelligenza artificiale (AI, Artificial Intelligence). Il concetto di AI esiste da decenni. Ma ora, l'apprendimento automatico (ML, Machine Learning) e un sottoinsieme di ML chiamato apprendimento approfondito (DL, Deep Learning), consente di "addestrare" il software AI più velocemente e aiutarlo a fornire una maggiore precisione. Gli algoritmi ML imparano dai dati, che consentono al software di fare previsioni e agire in base di conseguenza. Questi algoritmi migliorano inoltre nel tempo, grazie ai dati che raccolgono.
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Dell Bedrock
Published By: Dell Bedrock     Published Date: Feb 17, 2020
Die Analytik befähigt Unternehmen seit Langem dazu, den Wert ihrer Daten zu erschließen. Angesichts der Wettbewerbsanforderungen der modernen digitalen Wirtschaft wollen und müssen Unternehmen jedoch mehr tun. Unternehmen, die von dem Wunsch nach größerer Genauigkeit sowie nach schnelleren, vorausschauenderen und granulareren Erkenntnissen angetrieben werden, setzen auf den zunehmend Verbreitung findenden Bereich der künstlichen Intelligenz (KI). Das Konzept der KI existiert bereits seit Jahrzehnten. Inzwischen ermöglichen das maschinelle Lernen (ML) und ein Teilbereich davon, das sogenannte Deep Learning (DL), jedoch das schnellere Trainieren von KI-Software, die dadurch weitaus genauere Ergebnisse liefern kann. ML-Algorithmen lernen aus den Daten, wodurch die Software Prognosen treffen und entsprechend reagieren kann. Diese Algorithmen können jetzt im Lauf der Zeit basierend auf den erfassten Daten sogar noch weiter verbessert werden.
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Dell Bedrock
Published By: Dell Bedrock     Published Date: Feb 17, 2020
The field of analytics has long empowered businesses to extract value from their data. Given the competitive demands of the modern digital economy, however, businesses want and need to do more. Fueled by a desire for greater accuracy along with faster, more predictive, and more granular insights, businesses are turning to the rapidly progressing field of artificial intelligence (AI). The concept of AI has existed for decades. But now, machine learning (ML), and a subset of ML called deep learning (DL), makes it possible to train AI software faster and help it to deliver far greater accuracy. ML algorithms learn from the data, which empowers the software to make predictions and act on them. These algorithms are now even improving over time, based on the data they collect.
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Dell Bedrock
Published By: Dell Bedrock     Published Date: Feb 17, 2020
To run a digital business that is Intelligent and agile, your enterprise requires an IT landscape capable of connecting the front and back offices. In other words, the ability to engage customers depends on the oftenunseen capabilities in the data center. To remain on a path to digital transformation and capitalize on innovations in AI and machine learning (ML), companies are migrating their enterprise resource planning (ERP) and business warehouse (BW) workloads to SAP HANA and SAP S/4HANA. For enterprises running legacy SAP solutions, with an end of service life after 2025, the timetable for migration is rapidly approaching given that the average implementation is several years. IT decision makers (ITDMs) begin this journey by articulating the business case for why they should modernize their IT landscape for SAP and what factors they should consider along the way.
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Dell Bedrock
Published By: Dell EMC Storage     Published Date: Feb 18, 2020
Executive Summary: To deliver new value and enable innovation, organizations are striving to build intelligent enterprises that run on insight from data delivered in real time. The transition can be challenging especially in this digital era. Enterprises are accumulating increasing volumes of data, yet they struggle to identify what data is relevant and how to manage the data they are collecting. Success hinges on the way an enterprise uses data to transform it into data capital and the way the organization invests in data technology. Many organizations utilize SAP enterprise software to manage their data capital; however, as of 2025, SAP software will run on only one database, SAP HANA. This deadline and the desire to leverage SAP’s next-generation applications, including artificial intelligence and machine learning, are driving enterprises to migrate to SAP HANA and SAP S/4HANA. Dell EMC and Intel commissioned Forrester Consulting to conduct a market survey and a Total Economic Im
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Dell EMC Storage
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
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.
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TIBCO Software GmbH
Published By: Workday APAC     Published Date: Apr 10, 2019
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.
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Workday APAC
Published By: Workday APAC     Published Date: Apr 10, 2019
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.
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Workday APAC
Published By: Adobe     Published Date: Oct 29, 2015
This white paper explains how training apps are emerging as an important component of any organisation’s ongoing digital transformation.
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corporate training apps, mobility, mobile, mobile learning, training, digital training, e-learning
    
Adobe
Published By: Adobe     Published Date: Feb 09, 2016
This white paper explains how training apps are emerging as an important component of any organisation’s ongoing digital transformation.
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corporate training apps, mobility, mobile, mobile learning, training, digital training, e-learning
    
Adobe
Published By: Adobe     Published Date: Feb 09, 2016
This white paper explains how training apps are emerging as an important component of any organisation’s ongoing digital transformation.
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corporate training apps, mobility, mobile, mobile learning, training, digital training, e-learning
    
Adobe
Published By: Instructure     Published Date: Sep 20, 2019
As many colleges address virtual learning environments (VLE) that no longer meet the evolving needs of their institution, it makes sense for them to consider a framework that goes beyond the scope of just a VLE. This is where a Learning Management Platform comes into place. It delivers an open, extensible learning ecosystem that allows colleges to build the digital learning environment that solves the unique challenges they face. But before committing to a new Learning Management Platform, colleges have some serious homework to do.
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Instructure
Published By: F5 Networks Singapore Pte Ltd     Published Date: Sep 09, 2019
Have you ever wished for an army of clones to do all your thankless tasks and chores? Well, that fantasy is becoming a reality—at least on the Internet. And while they may not be actual clones, bots have begun doing lots of digital dirty work. Managing your relationship with bots—good and bad—has become an inherent part of doing business in a connected world. With more than half of online traffic initiated by autonomous programs, it’s clear that bots are a driving force of technological change, and they’re here to stay.¹ As bot technology, machine learning, and AI continue to evolve, so will the threats they pose. And while some bots are good, many are malicious—and the cybercriminals behind them are targeting your apps. Preparing your organization to deal with the impact of bots on your business is essential to developing a sustainable strategy that will enable you to grow as you adapt to the new bot-enabled world.
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F5 Networks Singapore Pte Ltd
Published By: Intel     Published Date: Apr 15, 2019
There’s never been a more urgent need for comprehensive security and surveillance solutions. GeoVision Inc. has built its business on helping meet this need, providing digital and networked video surveillance solutions to customers in 110 countries. To succeed in its highly competitive and fast-changing industry, GeoVision must always be on the lookout for ways to give its customers leading-edge performance. Find out how GeoVision is working closely with Intel to maximize the performance of the hardware using the tools in Intel® System Studio, a comprehensive development tool suite to optimize the computer vision and deep learning workloads.
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Intel
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