artificial intelligence

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Published By: Dell Bedrock     Published Date: Feb 17, 2020
A single graphics processor (GPU) can now achieve 100 teraFLOPS1 due to advances in microprocessor architecture and design, such as the ability to combine hundreds or thousands of processor cores into a single chip. This massive amount of computing power accelerates training of massively parallel and iterative artificial intelligence (AI) models, helping deep and machine learning to become viable techniques for any business to extract additional value from its data. To find out more download this whitepaper today.
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Dell Bedrock
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
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: KPMG     Published Date: Dec 05, 2018
Some HR leaders are confidently harnessing the disruptive technologies that will transform the HR function. How ready are you for the digital workplace? Read this report – which includes insights from HR leaders in some of the world’s most successful organisations – to understand: the anticipated impact of artificial intelligence and disruptive technologies the growing importance of the employee experience the potential of predictive analytics the changes required in workplace culture and capabilities for successful transformation.
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KPMG
Published By: Dell EMC Storage     Published Date: Mar 27, 2019
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.
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Aug 15, 2019
The digital era is changing the way that organizations think about, protect, and monetize data. Now more than ever they are pushing to be digitally-driven, and to achieve this they must be data-driven. Data powers everything in modern organizations; analytics, digital experiences, IoT, and artificial intelligence are notable examples. All are essential to organizations that want to succeed in a digitally transformed world, but they simply cannot function without data. This is driving the shift from data as a static digital asset to data as a strategic business asset.
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Sep 03, 2019
The digital era is changing the way that organizations think about, protect, and monetize data. Now more than ever they are pushing to be digitally-driven, and to achieve this they must be data-driven. Data powers everything in modern organizations; analytics, digital experiences, IoT, and artificial intelligence are notable examples. All are essential to organizations that want to succeed in a digitally transformed world, but they simply cannot function without data. This is driving the shift from data as a static digital asset to data as a strategic business asset.
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Dec 02, 2019
Why AI? Artificial Intelligence (AI) is transforming how consumers and enterprises work, learn, and play. Winning organisations will be those that use AI - as well as machine learning (ML) and deep learning (DL) - to: - Deliver meaningful insights and value-added predictions - - Uncover new business opportunities and revenue sources - Improve processes, products, or services across industries and use cases - Enable digital transformation Learn more about Dell EMC solutions powered by Intel®
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Dec 02, 2019
Why AI? Artificial Intelligence (AI) is transforming how consumers and enterprises work, learn, and play. Winning organisations will be those that use AI - as well as machine learning (ML) and deep learning (DL) - to: - Deliver meaningful insights and value-added predictions - Uncover new business opportunities and revenue sources - Improve processes, products, or services across industries and use cases - Enable digital transformation Learn more about Dell EMC solutions powered by Intel®
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Feb 18, 2020
Fueled by data, infrastructure advances, and the ubiquity of machine learning and deep learning (ML/DL) toolkits, artificial Intelligence (AI) solutions are fast becoming a mainstay in the enterprise data center. This paper describes how deep learning and artificial intelligence in the enterprise bring new workflows and challenges to data center architecture. It also addresses how solutions can be constructed from infrastructure architectures specifically designed to bring scale-out compute and storage closer together.
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Dell EMC Storage
Published By: Dell EMC Storage     Published Date: Feb 18, 2020
What Sets Organizations that Are Unlocking their Data Capital with AI Apart from their Peers
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Dell EMC Storage
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: Oracle     Published Date: Dec 19, 2018
Technology adoption varies from sector to sector, company to company and department to department. We asked 4000 leaders about their views on technology to find out which had the potential to cause serious innovation. It might be surprising to know that although its adoption levels are lower than other emerging technologies, artificial intelligence is most exciting to HR leaders. However, chatbots are what people want to hear less about. How did the other 4 technologies fare? The results were fascinating .
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Oracle
Published By: Automation Anywhere     Published Date: Feb 21, 2019
A recent Forbes article called robotic process automation (RPA) “a gateway drug to artificial intelligence (AI)”. In other words, RPA, provides organizations with a low barrier to entry into the AI world along with many of its benefits. Call it dipping a toe in the AI waters. What’s clear is RPA is on a tipping point. But will this growth continue? In this e-book we explore 7 predictions for the RPA market in 2019 from the market-leading platform, Automation Anywhere.
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Automation Anywhere
Published By: Dell EMC     Published Date: Mar 27, 2019
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.
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Dell EMC
Published By: Oracle     Published Date: Mar 04, 2019
Technology adoption varies from sector to sector, company to company and department to department. We asked 4000 leaders about their views on technology to find out which had the potential to cause serious innovation. It might be surprising to know that although its adoption levels are lower than other emerging technologies, artificial intelligence is most exciting to HR leaders. However, chatbots are what people want to hear less about. How did the other 4 technologies fare? The results were fascinating.
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Oracle
Published By: Oracle     Published Date: May 08, 2019
Oracle DBAs Share Insights about the Future of Cloud, Security, Artificial Intelligence, and Autonomous Computing. This year, in addition to canvasing analysts, pundits, and executives for their strategic insights, Oracle is interested in the tactical views, predictions, and opinions of master DBAs, database product experts, and Oracle ACE Directors. We gathered insights about database management, security, artificial intelligence, autonomous computing, and many other topics and cover how future trends will impact DBA careers during 2019, and beyond. The Intelligent Enterprise Era. Download predictions.
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Oracle
Published By: Oracle     Published Date: May 08, 2019
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.
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Oracle
Published By: Dell - NVIDIA     Published Date: Nov 04, 2019
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies are expected to permeate day-to-day business as well as customer activity. Industries such as healthcare (advanced diagnosis and treatment), transportation (advanced driver assistance systems and autonomous vehicles), and life sciences (rare disease treatment research) are some of the early adopters of AI. The goal for any organization adopting AI/ML/DL is to deliver meaningful insights and predictions that can significantly improve products, processes, or services across industries and use cases. Today, as AI becomes mainstream, many organizations find themselves in the initial proof-of-concept (POC) stage; only a few are in full production. IDC's 2019 Artificial Intelligence Global Adoption Trends and Strategies Survey found that 18% of organizations had AI models in production, 16% were in the POC stage, and 15% were experimenting with AI.
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Dell - NVIDIA
Published By: Verint Systems UK     Published Date: Dec 03, 2019
As our lives become more connected and reliant upon technology, our expectations evolve – not just for how we interact with organisations, but also for how we work. The nine to five workdays are in the past. Now, organisations that restrict operating and service hours to this eight-hour window are almost the anomaly. Powered by social media, chatbots, artificial intelligence (AI) and contact centres across time zones, customer engagement is always-on. If customers have a question, or a problem, they want it fixed now. If they cannot get what they want, then the likelihood of them going to another brand or service increases dramatically.
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Verint Systems UK
Published By: IBM APAC     Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
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decision making, deeper data, insights, cognitive, analytics, ibm, watson, virtual agents
    
IBM APAC
Published By: IBM APAC     Published Date: Nov 22, 2017
Glossary:Terms You Should Know Take your data analysis and deep learning expertise to the next level with these industry terms.
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api, application, programming, interface, artificial intelligence, base, encoding, chrome, code page
    
IBM APAC
Published By: Zendesk Ltd     Published Date: Sep 11, 2018
Customers have caught on that support interactions are getting better. When they reach out, they’ve come to expect an instant response that says “we’re here for you”. When they want information, it’s expected to be accurate, up-to-date, and easily accessible. Essentially, they come to expect efficiency during support interactions. As a result, businesses are becoming more cognizant of their self- service offerings. Customers want to be left feeling empowered; it’s even better when they can do so on their own. Self-service saves time for agents, cuts down on organizational costs, and leaves the customer with a positive outlook of a brand. This eBook delves into how AI can enhance your customer self-service offerings with automatically-generated knowledge bases, content cues for your service agents, and chatbots.
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customer service, customer experience, artificial intelligence, chatbots, self-service
    
Zendesk Ltd
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use. "
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Hewlett Packard Enterprise
Published By: Automation Anywhere     Published Date: Jul 16, 2019
The advent of artificial intelligence (AI) has shown incredible promise across a wide range of industries. But the benefits of automation have mostly occurred through Robotic Process Automation (RPA), which automates repetitive, mundane tasks – liberating workers to focus on higher-level business initiatives that only humans are capable of providing. After successful trials in most of the world’s largest organizations, automation and AI are poised to transform the global workplace. Making Work Human: 5 Challenges, research by Goldsmiths, University of London, supported by Automation Anywhere, seeks to uncover the main obstacles that organizations must now overcome in order to scale automation and AI, and recognize the true potential of these ground-breaking technologies.
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Automation Anywhere
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