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Published By: TIBCO Software     Published Date: Mar 15, 2019
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:
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TIBCO Software
Published By: CyberSource     Published Date: Apr 25, 2019
Download this white paper to find out how you could augment your fraud management with Decision Manager machine learning insights from more than 68 billion annually processed Visa and CyberSource transactions – matched with flexible rules-based fraud strategies. • Detect fraud more accurately with robust data and insights on ever-changing fraud patterns • Protect your bottom line by reducing fraud and chargebacks • Increase acceptance rates with the only fraud solution that uses machine learning to generate and test new rules-based strategies from your historic data …and more.
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CyberSource
Published By: Instructure     Published Date: May 30, 2019
The Future of Work: 10 Essentials for Winning Employee Development Your go-to guide for thriving in the changing face of work Employee development looks a lot different today than it did just a few years ago. This ebook details 10 trends that are crucial for keeping up with the ever-changing future of work. The modern workforce is a place where baby boomers, Gen X, millennials and now Gen Z all share the same Nespresso machine. That’s four distinct generations with different views, expectations and priorities. Companies will have to adopt new methods for just about everything—from recruitment and benefits to employee development and career planning. While there are several key differences between each generation in the modern workforce, how companies should treat them can be summarised in one word: individually. This ebook is designed to help HR and L&D professionals who want to turn their organisation into a learning environment well-equipped for the workplace of tomorrow, do ex
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Instructure
Published By: Instructure     Published Date: Jun 11, 2019
Your go-to guide for thriving in the changing face of work Employee development looks a lot different today than it did just a few years ago. This ebook details 10 trends that are crucial for keeping up with the ever-changing future of work. The modern workforce is a place where baby boomers, Gen X, millennials and now Gen Z all share the same Nespresso machine. That’s four distinct generations with different views, expectations and priorities. Companies will have to adopt new methods for just about everything—from recruitment and benefits to employee development and career planning. While there are several key differences between each generation in the modern workforce, how companies should treat them can be summarised in one word: individually. This ebook is designed to help HR and L&D professionals who want to turn their organisation into a learning environment well-equipped for the workplace of tomorrow, do exactly that— seamlessly motivate and develop employees of all types, age
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Instructure
Published By: Nice Systems     Published Date: Feb 26, 2019
NICE has made a significant investment into AI and ML techniques that are embedded into its core workforce management solution, NICE WFM. Recent advancements include learning models that find hidden patterns in the historical data used to generate forecasts for volume and work time. NICE WFM also has an AI tool that determines, from a series of more than 40 models, which single model will produce the best results for each work type being forecasted. NICE has also included machine learning in its scheduling processes which are discussed at length in the white paper.
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Nice Systems
Published By: Intel     Published Date: Apr 11, 2019
Robots play a major role in making manufacturing processes more efficient and less labor intensive. They can help control costs and improve quality, as well as increase productivity. The complexity of robotic system design, however, creates obstacles for many manufacturers, and this is made more difficult by the need to identify and integrate subsystems from multiple vendors. NexCOBOT, a NEXCOM company, offers a flexible, modular robotics solution integrating artificial intelligence (AI) with machine vision and powered by the new Intel® Vision Accelerator Design products. The solution brings together the insight of artificial intelligence, the mobility of robotics, and the capabilities of machine vision, providing a new level of precision and optimization for manufacturing and industrial implementations
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Intel
Published By: Nokia     Published Date: Sep 18, 2018
This paper examines the benefits of using advanced machine learning models in predictive maintenance software for asset management of Power Utilities.
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machine learning, nokia, asset management, power & energy, power asset management, energy asset management, substation, electrical substation, energy automation, power automation, energy analytics
    
Nokia
Published By: Intel     Published Date: Feb 28, 2019
The confluence of AI and Industry 4.0 is transforming image processing. As image vision becomes widespread, there is an increasing need to transition stand-alone imaging to an integrated driver of automation feeding insights back into the business systems that monitor overall factory performance. Download the whitepaper to learn more about fitting multiple demands into a single platform— • Building an industrial system with advanced functions like machine vision and Industry 4.0 connectivity • Minimizing the footprint of the systems to save space, cost and power consumption • Adhering to principles of long life, safety, reliability, real-time control functionality alongside AI and IIOT capabilities
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Intel
Published By: Intel     Published Date: Feb 28, 2019
Keeping the lights on in a manufacturing environment remains top priority for industrial companies. All too often, factories are in a reactive mode, relying on manual inspections that risk downtime because they don’t usually reveal actionable problem data. Find out how the Nexcom Predictive Diagnostic Maintenance (PDM) system enables uninterrupted production during outages by monitoring each unit in the Diesel Uninterrupted Power Supplies (DUPS) system noninvasively. • Using vibration analysis, the system can detect 85% of power supply problems before they do damage or cause failure • Information processing for machine diagnostics is done at the edge, providing real-time alerts on potential issues with ample of lead time for managers to rectify • Graphic user interface offers visual representation and analysis of historical and trending data that is easily consumable
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Intel
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19
Published By: Oracle     Published Date: Mar 08, 2019
Did you know that organizations with advanced finance teams are more likely to have a compelling digital customer experience? The driver behind this trend? A digital, customer-first way of working with greater investment in talent, innovation, and advanced technologies such as artificial intelligence (AI) and machine learning (ML). While finance has long taken advantage of technology to help drive productivity and collaboration, the goalposts have recently moved. Today’s organizations must adopt an agile finance operating model— powered by emerging digital technologies and skillsets—to better support the demands of an economy driven by continuous innovation.
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Oracle
Published By: CheckMarx     Published Date: Jun 07, 2019
Artificial Intelligence (AI) software is everywhere being leveraged by many industries such as healthcare, fintech, and e-commerce. But how does AI impact the security space? Join Maty Siman, Checkmarx Founder and CTO, to get both a white hat and black hat perspective to AI and security.
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CheckMarx
Published By: Oracle     Published Date: Jun 10, 2019
In our recent report, we look into the reasons why HR feel less than confident in their ability to manage the volume of data securely and ethically. From extracting the right type of insights to improving employee productivity and engagement to managing the skills pipeline. We look forwards to how HR can improve their systems by using automated technologies such as artificial intelligence and machine learning. Read the survey today to see how your organisation compares to your peers.
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Oracle
Published By: DataCore     Published Date: Apr 23, 2019
The emphasis on fast flash technology concentrates much attention on hot, frequently accessed data. However, budget pressures preclude consuming such premium-priced capacity when the access frequency diminishes. Yet many organizations do just that, unable to migrate effectively to lower cost secondary storage on a regular basis. In this white paper, explore: • How the relative proportion of hot, warm, and cooler data changes over time • New machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life • The role of artificial intelligence (AI) in migrating data to the most cost-effective tier.
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storage tiering, auto tiering, all-flash array, ssd, software defined storage, hyperconverged, data migration, storage migration
    
DataCore
Published By: Shell     Published Date: May 30, 2019
For turbomachinery operators in the power generation sector, finding ways to reduce total cost of ownership and maintenance costs by maximising asset availability and reliability is a top priority. Understanding and controlling the rate at which turbine oils degrade, and dealing with the by-products formed, are vital steps toward maximising turbomachinery availability.
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Shell
Published By: FICO EMEA     Published Date: May 31, 2019
: FICO commissioned an independent research study by TM Forum to look at how global telecommunication providers are using (and plan to use) machine learning and advanced analytics to improve the customer experience in credit risk and beyond. This in-depth report includes key insights from a global survey as well as executive interviews with leading communication service providers such as Telstra, Vodafone, Sky, Globe Telecom, and BT on their vision for leveraging artificial intelligence to stop fraud, better engage customers across channels, improve risk management, and drive collection results. Read this report to understand: o What CSPs see as the biggest drivers for deploying advanced analytics over the next two years o How and where BT, Globe Telecom, Vodafone UK, Sky and Telstra are using analytics, from marketing through origination o The opportunities and pitfalls around financing devices as opposed to or in addition to subsidising them o The scope for analytics to improve c
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csp, advanced analytics, telco, improve credit risk, reduce fraud loss
    
FICO EMEA
Published By: Recorded Future     Published Date: Apr 18, 2019
When it comes to processing information, one full security event read by a machine is equal to just 10 words read by a human analyst, on average. Even the slightest delay can mean the difference between attack and action. Find out how you can connect the dots to rapidly reveal unknown threats before they impact your business, and respond to security alerts 10 times faster.
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Recorded Future
Published By: AWS     Published Date: Jun 07, 2019
Watch this webinar to learn how Slalom helped Veripad enhance the accuracy of their machine learning models using AWS services. Together they helped health professionals detect fraudulent medications more accurately than the human eye.
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AWS
Published By: AWS     Published Date: Jun 11, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: AWS     Published Date: Jun 11, 2019
Common daily media broadcaster tasks such as ad verification are slow and costly. Done manually, they may also introduce inefficiencies that can interfere with transparency and payment accountability—and impact your bottom line. Meanwhile, recent and archived media lies idle when you could repurpose it to increase brand exposure and generate revenue. Learn how Veritone, Inc. used its aiWARE Operating System, building on Amazon Web Services (AWS), to help Westwood One, Inc., a large audio broadcasting network in the United States, develop Artificial Intelligence (AI) and Machine Learning (ML) solutions designed for ad verification and monetizing archived media. Download our webinar to learn how you can Automate ad verification and reporting tasks. Enhance archive content to make media searchable and reusable. Use AI and ML in the cloud for near real-time media intelligence. Start applying machine learning tools.
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AWS
Published By: AWS     Published Date: Jun 11, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
Published By: AWS     Published Date: Jun 11, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: Astaro     Published Date: Jan 19, 2011
Botnets are based on similar principles as legitimate clouds, but serve malicious business interests. Find out more about how botnets work and the right steps after having detected infected machines within your own network.
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astaro, cloud computing, botnets, network, security
    
Astaro
Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
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
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