"Cloud-based predictive analytics platforms are a relatively new phenomenon, and they go far beyond
the remote monitoring systems of a prior generation. Three key features differentiate cloud-based
predictive analytics — data sharing, scope of monitoring, and use of artificial intelligence/machine
learning (AI/ML) to drive autonomous operations. To help familiarize the uninitiated with specifically
what types of value these systems can drive, IDC discusses them at some length in this white paper."
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
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
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.
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
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.
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.
What impact will the cloud-enabled workplace have on your cybersecurity strategy? This year’s research shows that organisations are navigating a myriad of both old and new cybersecurity challenges to bring the cloud into scope.
Read this to discover:
• how growing cloud dependency has created distinctive challenges around cyber security
• what the biggest cyber challenges are for organisations in this context
• how intelligent automation and machine learning is being used to overcome operational obstacles hampering cloud security
• a set of cybersecurity considerations for modern IT environments.
High-volume administrative tasks are a feature of every business. We helped a global bank develop a machine learning algorithm to help with the task of reviewing over 100,000 ‘sanctions alerts’ every day.
Read this story to find out:
• what other benefits AI can deliver beyond cost savings
• how AI tools achieve greater accuracy than human reviewers
• what it takes to apply AI and Machine Learning successfully in a regulated sector.
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
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
New Techniques That Will Drive Revenue in 2019
If you’re ready to move beyond simple calculations and realize the vast potential of data driven selling, you’re ready to explore the next generation of SPM platforms.
Download the report to learn how the modern technologies like Artificial Intelligence and Machine Learning, can give your sales reps a roadmap to better performance and give sales management insights that will enable them to achieve more profitable sales.
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.
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.
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
Virtualization is the standard in enterprise IT environments for consolidating servers, enhancing businstrators that reduces their Total Cost of Ownership (TCO) and helps speed the application development process. However, as improvements have been made with server technology, storage technoless continuity, and improving business agility. VMware provides an architecture for server adminiogy has become the bottleneck. Legacy storage solutions can’t keep pace with thousands of virtual machines demanding maximum IOPS along with high bandwidth at the lowest latency. Infinidat’s InfiniBox removes the storage bottleneck for VMware environments. The InfiniBox enterprise storage array delivers faster-than-all-flash performance, high availability, and capacity density at petabyte scale. This Infinidat white paper is written for VMware and storage administrators to introduce them to the integration capabilities of the InfiniBox for VMware.
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.
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.
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.
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
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.
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
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.
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.
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
The Industrial Machinery industry is changing slower than it ever will and faster than it ever has. And customer demands are evolving at speeds never seen before. For companies serious about innovating at scale and transforming their business in order to dominate their market, it will take innovative thinking, disruptive technology and near flawless execution. This challenge, perhaps best described as the perfect blend of art and science, is more than achievable, but only if you have the right partner. Which is why we want you to meet Leonardo, by SAP. SAP Leonardo is a digital innovation system that enables organizations of all sizes to transform at scale with minimal risk and disruption. SAP Leonardo brings new technologies and services together to help businesses power their digital transformation. SAP Leonardo proves that truly transformative and sustainable innovation happens when technology, people, and data are combined.