Cloud technology has changed everything—it has been one of the biggest transitions in the IT industry over the past three to four decades. Today’s customers require greater agility and faster innovation, and need the flexibility to run their workloads both in the public cloud and on premises with a predictable and transparent IT cost structure. Learn more in this new mini digi book. (Digital awareness asset/.pdf of value proposition for OCM and new Oracle Exadata Cloud Machine)
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace.
Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
Learn how to create cloud infrastructure that's secure by default and has better core efficiency for Java, database, and big data. Oracle's servers offer hardware acceleration of data analytics and machine learning, with 10X better time-to-insight.
Detect attacks that get past perimeter defenses across the digital business. Detect malicious patterns in encrypted traffic. No decryption is needed with our Encrypted Traffic Analytics technology and multilayer machine learning. Extend your network visibility.
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal almost daily. For all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled. Neural networks are one type of model for machine learning; they have been around
After buzzing Industry 4.0 all over the media by all OT and IT experts, today, a few key concepts seem to unveil the potential that the industry believes is behind Industry 4.0. These include: Smart Machines, Smart Factory, cyber physical systems, Everything-as-a-Service and a few technologies like OPC UA, cloud and data analytics.
Clearly, they are the innovation drivers and must-haves for every vendor of automation products that want to be recognized as leaders or challengers. Sooner or later they will become standards and used by followers and niche players, but the key question for the market of automation suppliers is not who is first in developing and providing all the nice concepts and technologies, but who is creating and combining them in the right way so that they can be turned into new revenue streams.
We keep in mind that competitive advantages can be achieved through increasing operational efficiency, but the better way is through strategic uniqueness. Companies which ar
Schneider Electric surveyed over 400 worldwide machine builders and factory end users in 2015. The questions they answered all centered around what their machines and plants would need to look like in 2020 if their businesses were to sustain growth and boost productivity. Their feedback has shaped (and will continue to shape) Schneider Electric digitized solution investments.
Key requirements identified included:
• Tools that could accommodate a younger, less skilled, and less experienced workforce
• A need for simpler integration through open software connectivity and more open field buses
• A need for whole lifecycle support of the products they purchase
Read this eBook to see answers to some of these identified key points from those surveyed.
The supply chain for manufacturers and distributors is facing challenges around increased analytics, multichannel fulfillment, talent shortages, and the use of new technologies such as wireless, augmented reality, robotics and machine-to-machine (M2M). At the same time, there is continued focus on cost reduction and sustainability.
The Industrial Internet of Things is driving a huge transformation as it increases the interconnection between connected devices and analytics. The smart manufacturing enterprise can seize opportunities to maximize efficiency and safety through networking and intuitive collaboration with its users.
This eBook shares practical steps to follow for a smart material handling and logistics approach.
Field redesigns point the way to next-generation machines. This paper includes case studies showing how conversions from roller chain or gears to synchronous belt drives improved performance while saving maintenance and replacement costs.
The war for talent is back. But this time, the way to win it isn’t by solidifying your employment brand or ramping up your recruiting machine. In fact, there are probably plenty of people aware of and even applying to your jobs. So why is it still so hard to find the right talent?
This white paper will walk you through eight different ways that Pardot can help you supercharge Salesforce CRM, from better sales intelligence to automated lead qualification, and more. Take a look at the next few chapters to see how Pardot and Salesforce differ, what the key benefits of each tool are, and how they can work together to become the ultimate sales and marketing machine.
VMware AirWatch® features a new – and more efficient – approach to Windows lifecycle management across any use case – whether deploying the OS to your remote workers, onboarding employees’ BYO machines, corporate deployments across your branch offices or managing a special line of business terminal. The unified endpoint management technologies fundamentally changes how organizations approach PC lifecycle management, allowing IT to deploy security patches and remediate vulnerabilities faster, install software more reliably and quickly and consolidate operational processes across devices on or off the domain.
Organizations undergoing digital transformations are dealing with amplified concerns around risk and security, which isn’t surprising.
Ensuring visibility and accountability for compliance, security and governance while enabling flexibility for digital transformation requires a fresh and more tightly aligned approach to who—and now what in the form of applications, services, machines and things—are given the keys to the kingdom: privileged access.
Read this white paper to understand how the digital transformation journey requires thinking through a clear roadmap that spans multiple years, anticipating near- and long-term requirements from a privileged access management solution and ensuring scope and scale needs at a reasonable cost of ownership through the entire lifecycle.
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
e-book which lays out the case for machine learning and artificial intelligence for mainframe operational analytics. The mainframe is now part of a highly complex connected ecosystem driving trillions of mobile and web transactions critical to the functioning of the application economy. The emergence of new workloads and apps on the mainframe means that the status quo isn’t enough when it comes to Mainframe management. IT professionals alone – whether mainframe skilled or not – simply can’t keep up with the onslaught of performance alerts, false alarms. Machine learning deliver mainframe intelligence a more proactive and automated approach to handle this challenge.
All ML technology isn’t created equal. Learn how the CrowdStrike® ML-based Engine Defends Against Unknown Malware. While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer?
A new white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology — what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution, it dramatically increases your ability to detect attacks that use unknown malware.
Discover how to revolutionize processing performance, data intelligence, customer experiences, and GRC.
The future of financial services will belong to those who can capture and capitalize on data. And it all begins with employing modern data strategies in four critical areas.
You’ll learn how to:
Leverage AI, machine learning and predictive analytics.
Get scalable, high-speed access to vast amounts of data.
Respond faster, become more competitive, and attract new customers.
Profitability is the oil in your agency’s engine. Without it your agency could get by for a little while, but eventually it would lose momentum and stall. Ensuring agency profitability isn’t as difficult as it may seem. In this eGuide, you will find 10 actions that you can take immediately to turn your agency into a well-oiled profitability machine
AI, machine learning and predictive analytics are already driving big performance gains for CFOs and their teams. The ability for cognitive tools to learn at speed helps Finance progressively improve company intelligence and efficiency, including proactive identification of late- and non-paying customers. Get up to speed on the potential of cognitive, with Finance thought-leaders from Oracle and AICPA (American Institute of Certified Public Accountants).
The world of computing is changing before our eyes. Industries that had a consistent and predictable business model for generations are being turned upside down. In the digital economy, a seamless customer experience is critical. Whether a retailer is exploring new innovative online selling strategies or a bank is determining how to anticipate customer needs for new services – a high performing and scalable IT ecosystem is key to success. At the end of the day, as an IT leader, you need to help your business anticipate opportunities, drive growth and proactively prevent threats to your company’s revenue.
Before creating new technologies, we must think about how to create the right values to be also able to sell it. All the technology that is required for “Industry 4.0” is available today already, so in fact Industry 4.0 can be seen more than an innovation driver for new businesses that are not exploited today, than an innovation driver for technology. If these existing technologies are assembled properly together and combined with the right business models, there is really good chance to profit from Industry 4.0.
This white paper looks into the ways one can profit from Industry 4.0 by differentiating through new business models.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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