Taking the Fear Factor Out of AI

For decades, films like Space Odyssey, War Games, Terminator and The Matrix have depicted the future and what it would be like if artificial intelligence (AI) took over the world. Fast forward to 2019 and AI is quickly becoming a reality. The things we only used to see in the movies are improving our daily lives and we often don’t realize it. We’ve been living with AI assistance for quite some time. We use Waze and Google Maps to help us predict traffic patterns and find the shortest driving routes. We let Roomba navigate our homes … READ MORE

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New ‘Experience Zones’ Offer a Fast Route to AI Expertise

New Dell EMC AI Experiences Zones showcase the business benefits of artificial intelligence and provide ready access to the latest Dell EMC AI solutions. Organizations around the world now recognize the opportunity to put artificial intelligence to work to solve pressing business problems. In one sign of this growing AI momentum, a recent IDC report predicts that worldwide spending on AI systems will jump by 44 percent this year, to more than $35 billion.[1] This push into the brave new world of AI isn’t confined to just certain industries. It’s across the board, according to IDC. … READ MORE

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Where Were You When Artificial Intelligence Transformed the Enterprise?

Where were you when artificial intelligence (AI) came online? Remember that science fiction movie where AI takes over in a near dystopian future? The plot revolves around a crazy scientist who accidentally put AI online, only to realize the mistake too late. Soon the machines became the human’s overlords. While these science fiction scenarios are entertaining, they really just stoke fear and add to the confusion to AI. What enterprises should be worried about regarding AI, is understanding how their competition is embracing it to get a leg up. Where were you when your competition put … READ MORE

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Proxysg integrate with DLP

I need a solution

Hi everyone,

I am new proyxsg and dlp user. Please tell me how to  solve below questoin.

I have a proxysg(version 6.7) and DLP(15.5). When I intergrate with both, then health check, the proysg shows “health check has failed”.  Can anyone help me what should I do for successful integration. Thanks.

0

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Accelerating Insight Using 2nd Generation Intel® Xeon® Scalable Processors with Deep Learning Boost

Artificial Intelligence (AI) techniques are quickly becoming central to businesses’ digital transformation by augmenting, and in many cases supplanting, traditional data analytics techniques. These techniques bring proactive and prescriptive capabilities to a company’s data-driven decision-making process, giving companies that adopt them early a distinct competitive advantage. Those that adopt them late will be left behind. Intel recognizes that AI methods, most notably machine learning and deep learning, are now critical components of company workloads. To address the need to both train and, arguably more importantly, have AI models make decisions faster, Intel has put these workloads … READ MORE

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Block specific google document on google doc

I need a solution

Hi team,

I am just wondering if we could block one specific google document url https://drive.google.com/file/d/xxxxxxxxxxxxxxxxxxxxxxx/view?usp=drive_web

I do not want to block the whole domain but only that google document url.

I have tried:

1. https://drive.google.com/file/d/xxxxxxxxxxxxxxxxxxxxxxx/view?usp=drive_web

2. drive.google.com:443/file/d/xxxxxxxxxxxxxxxxxxxxxxx/view?usp=drive_web

Those didn’t work.

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Bakers Half Dozen – Episode 5

Episode 5 Show Notes: Introduction with Matt Baker Item 1 – The State of AI in 2019 Item 2 – Machine Learning Algorithms Wired: How Netflix uses Machine Learning algorithms to make recommendations Forbes: Mastercard uses AI to stop fraud AI and Password security Item 3 — Deep Learning vs Machine Learning GAN Defined  Check it out: thispersondoesnotexist.com  Item 4 – Does Deep Learning lack common sense? Deep Blue vs Kasparov AlphaGo beats Go Can Deep Learning beat Breakout? Item 5 – Cost of Public Cloud VMWare’s CloudHealth Platform Item 6 – Digital Transformation Dell Technologies: … READ MORE

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A More Positive Stance on the Impact of AI and Human-Machine Collaboration on Jobs

Technology has traditionally been seen as an asset for aiding human development and augmenting our capabilities. At the dawn of the fourth industrial revolution, many people are asking themselves if technology will displace large numbers of people in the workplace. Several media articles have been published recently on the topic, with some proposing very negative views to this effect. Personally speaking, I have a more positive outlook on what the evolution of AI means for employment opportunities of the future. It is also important to note that many big name analysts and consulting firms such as … READ MORE

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How Predictive Analytics and a Smarter Service Parts Supply Chain Are Improving Your Service Experience

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As we approach the second decade of the 21st century―and a new age of Human-Machine Partnerships, Dell Technologies is predicting that 2019 will be The Year of the Data-Driven Digital Ecosystem.

Machine learning (ML) and emerging artificial intelligence (AI) are empowering “data-driven digital ecosystems” that can analyze vast volumes of data for insight to improve outcomes—and to get continually smarter and smarter at doing so.

As part of our own digital transformation in Services, we are using these techniques to pioneer new and better ways to serve customers. Our data science teams have identified the enormous potential of AI/ML in multiple business areas. We utilize it in our proactive, predictive support capabilities and it’s playing a significant role in our supply chain. Jeff Clarke predicted that supply chains will get stronger and smarter in 2019 and the Global Service Parts team is delivering on that vision, taking advantage of AI/ML to deliver a better customer repair experience.

Applying Predictive, ML, AI and Operational Research Methodologies to Unlock New Insights

Dell EMC Services has been collecting and analyzing data from our service parts supply chain for years. Today, our Global Service Parts organization manages procurement, inventory, repair, and the recycling of parts for 100+ million products at customer sites under warranty or service agreement in 160+ countries around the world.

Massive amounts of historical and near real-time service parts data―tracking the lifecycle of parts as they move in and out of our 800+ warehouses and to and from customer sites―provides a rich trove of data for unlocking new insights.

So what type of actions can we take based on the insights we extract from all that data?

To continue innovation and evolution of our supply chain, we applied predictive, ML, AI and operational research methodologies in two areas for:

  • Sharper planning―for more accurate demand forecasting, with less human effort
  • Smarter repair―through predictive analytics to reduce repair time

Let’s take a look at what each of these means to our business, and most importantly, to our customers.

Sharper Forecasting, with Less Human Effort

The unpredictability of immediate, short- and long-term demand for repair parts makes accurate forecasting an ongoing challenge. To tackle this, our experienced parts planners and data scientists worked together to develop and supervise a data-driven digital ecosystem that uses machine learning to identify and prioritize variables, build predictive models, and generate plans to more precisely pre-position inventory across the globe.

Today, about 35% of our planning is generated autonomously, without human input, greatly reducing the amount of time our expert resources spend on the front end of this process. Once plans are generated, our parts planners have only to review and adjust them before they are approved. We are confident that as the planning tool continues to “learn” from planner modifications and usage patterns, and as AI continues to evolve, we will be able to rely on a fully autonomous planning tool in the next few years, freeing our planners to focus on more complex issues and additional tool development.

Smarter Repair, with Reverse Supply Chain Data

When a repair is needed, of course, we want to make the process as quick and efficient as possible so we are using data science techniques in this area as well.

We use reverse supply chain data―data that comes from built-in system diagnostics, tech support workflow, hands-on diagnostics, defective part evaluations, and other sources. It informs predictive analytics that help us identify the likelihood of failures and helps accelerate repair times.

Our new predictive repair engine combines relevant data and identifies patterns to recommend what parts will be needed before a unit arrives at the repair depot, so a swap-out can be quickly completed. In an initial pilot, we achieved 80% accuracy in identifying the correct part, reducing the movement of parts by 15%, and cutting time-to-repair by 20 minutes. Efficiencies continue to improve, as the technology learns from confirmation of accurate recommendations and correction of inaccurate ones. The repair engine also learns from extensive, post-event failure analysis of parts at the repair depot, improving diagnoses and providing valuable information to product engineers working on next-generation systems.

This predictive repair engine is also making our supply chain greener and more efficient, by helping to reduce waste and shipping, and the need to manufacture and manage as many parts in the first place.

Better and Better Service Experience for Our Customers

Emerging AI technologies, machine learning and other innovative techniques are helping us get smarter and smarter so we can minimize disruption and inconvenience, prevent issues or resolve them faster, and make technology simpler for all of us.

The post How Predictive Analytics and a Smarter Service Parts Supply Chain Are Improving Your Service Experience appeared first on InFocus Blog | Dell EMC Services.


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