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.¹
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.
Published By: Corrigo
Published Date: Nov 01, 2019
PropTech is disrupting the facilities management and real estate industries – from big data and
IoT to artificial intelligence and augmented reality. The latest advances in PropTech are
accelerating change in facilities management like never before, driving bottom line value and
helping future-proof FM operations. The promise of PropTech is why our Corrigo team is investing
so heavily in frictionless, self-learning platforms to help our clients use technology to truly
transform their businesses.
But as we amplify FM ops with new technology, we are just as passionate about helping our clients
optimize their current processes. Why? Because making even small changes today can mean huge
savings for their bottom line. In fact, 80% of organizations are leaking more FM value right now
than they could immediately gain with new, emerging tech strategies.
That’s no small leak – it’s a staggering loss for organizations of all sizes. After analyzing 700
million facilities management transactions a
Intel® Select Solutions for BigDL on Apache Spark* accelerates and simplifies deep learning development and deployment on an optimized, verified infrastructure based on Apache Spark*. Intel® Select Solutions for BigDL on Apache Spark* combine Intel® Xeon® Gold processors, Intel® SSDs, and Intel® Ethernet Network Adapters to empower enterprises to quickly harness a reliable, comprehensive solution that delivers excellent total cost of ownership (TCO) and accelerated time to market.
Infrastructure considerations for IT leaders
By 2020, deep learning will have reached a fundamentally different stage of maturity. Deployment and adoption will no longer be confined to experimentation, becoming a core part of day-to-day business operations across most fields of research and industries.
Why? Because advancements in the speed and accuracy of the hardware and software that underpin deep learning workloads have made it both viable and cost-effective. Much of this added value will be generated by deep learning inference – that is, using a model to infer something about data it has never seen before. Models can be deployed in the cloud or data center, but more and more we will see them on end devices like cameras and phones.
Intel predicts that there will be a shift in the ratio between cycles of inference and training from 1:1 in the early days of deep learning, to well over 5:1 by 2020¹. Intel calls this the shift to ‘inference at scale’ and, with inference also taking up
What if you could use just one platform to detect all types of major financial crimes?
One platform to handle the analytical tasks of fraud detection, including:
Data processing and aggregation
Statistical/mathematical/machine learning modeling
One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud.
Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
TIBCO® Connected Intelligence for Smart Factory Insights
By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
Today, you can improve product quality and gain better control of the entire
manufacturing chain with data virtualization, machine learning, and advanced
data analytics. With all relevant data aggregated, analyzed, and acted on, sensors,
devices, people, and processes become part of a connected Smart Factory
•? Increased uptime, reduced downtime
•? Minimized surplus and defects
•? Better yields
•? Reduced cost due to better quality
•? Fewer deviations and less non-conformance
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization.
Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon.
We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to:
Digitize the business
Survive digital disruption
Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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.
Digital disruption, economic instability, political upheavals and skills shortages have all at some point in the past 24 months been blamed for business failure, or at the very least, lost profitability and earnings.
It’s perhaps not a huge surprise that a Gartner CEO survey on business priorities revealed that digital business is a top priority for next year. Survey respondents were asked whether they have a management initiative or transformation program to make their business more digital. The majority (62 percent) said they did. Of those organisations, 54 percent said that their digital business objective is transformational while 46 percent said the objective of the initiative is optimisation.*
So, for businesses it’s a case of learning to evolve and be agile, to use technology to help compete more efficiently and not fall victim to inertia. As businesses become increasingly dependent on the insights from data analytics and face-up to competition fuelled by the 24/7 society of in
Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a
cloud-first strategy is no longer viewed as a luxury but as a necessity for businesses to compete.
According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives,
followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will
likely be quickly outdated, organizations now want to invest in systems that can meet their changing
needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing
: Today’s learning environments would be unrecognizable to past generations. Professors distribute and issue syllabi and assignments online. Students collaborate on group projects using Google Docs, Doodle and other technologies. Password reset requests alone could keep an entire IT team busy. To face this onslaught of technological demands without breaking the budget, campuses need a powerful, flexible and affordable ITSM platform.
Read this eBook to learn how eight different colleges and universities are using Cherwell ITSM to achieve:
• A higher level of productivity (for example, implementing a self-service portal for password resets that slashed service requests by 65 percent)
• Faster service delivery (for example, cutting the global computer refresh cycle from three years to seven months)
• Less configuration time (for example, one school reduced configuration time by 74 percent).
To learn more about how leading campuses have easily and affordably improved their operational
Today’s students are accustomed to leveraging technology as part of their education. For in-class and at-home learning, many are leveraging 1-to-1 iPad programs. For many more, a computer lab is made available to offer access to educational materials.
Labs are a cost-effective and efficient way to ensure students have access to a computer with the apps they need to be successful, saving students and parents the cost of purchasing computer hardware and software. Labs ensure digital equity for students who would not otherwise be able to afford these luxuries.
And, many school computer labs are Mac labs. Mac has a longer shelf life than PC, countless educational apps and students simply prefer them.
In order to set students up for educational and professional success, K-12 schools need to equip students with secure technology and a customized experience when they sit down at any computer in the lab.
Today’s students are accustomed to leveraging technology as part of their education. For in-class learning at K-12 environments, many are offering 1-to-1 iPad programs. While some universities are moving towards a 1-to-1 iPad model, such as The Ohio State University, many others are relying on computer labs to offer the technical tools students need.
In order to set these young adults up for professional success, higher education institutions need to equip students with secure technology and a customized experience when they sit down at any computer in the lab.
Labs are a cost-effective and efficient way to ensure students have access to a computer with the apps they need to be successful, saving students the cost of purchasing computer hardware and software. Labs ensure digital equity for students who would not otherwise be able to afford these luxuries.
And, many university computer labs are Mac labs. Mac has a longer shelf life than PC, countless educational apps and students simply
A indústria de petróleo está sendo transformado de maneira dinâmica graças ao poder de conexão da Internet, aos avanços nos sensores conectados remotamente e às possibilidades que o machine learning e a inteligência artificial (IA) oferecem.
À medida que a busca por hidrocarbonetos e fontes alternativas de energia se estende a ambientes mais profundos e hostis, operadores, empresas de serviços e proprietários de ativos estão aproveitando os avanços tecnológicos para garantir que seus funcionários estejam mais seguros, seus campos sejam mais produtivos e seus ativos operem com eficiência máxima.
La industria petrolera se está transformando de manera dinámica gracias el poder de conexión del Internet, los avances en sensores remotos conectados, y las posibilidades que ofrece el machine learning y la inteligencia artificial (IA).
A medida que la búsqueda de hidrocarburos y fuentes de energías alternativas se amplía a entornos más profundos y hostiles, los operadores, las compañías de servicios y los propietarios de los recursos están aprovechando los avances tecnológicos para garantizar que sus empleados estén más seguros, sus campos sean más productivos y sus activos fijos estén operando a su máximo nivel de eficiencia.
Lo que aprenderá:
• Aplicar la analítica avanzada y las técnicas de machine learning / IA a fin de optimizar procesos de manufactura complejos
• De qué manera el control de procesos estadísticos de múltiples variantes puede ayudar a detectar las desviaciones en una base de referencia
• Cómo monitorear el OEE en tiempo real y producir una vista de 360 grados de su fábrica
Asimismo, el webinar también da cuenta de los casos de estudio de nuestros clientes que ya han implementado con éxito los modelos de optimización de procesos.
At Quantum Metric, helping companies improve digital customer experience is our passion. We’ve harnessed the learnings and observations we’ve had across dozens of Fortune 500 organizations to develop a methodology that companies can use to achieve meaningful results quickly - helping leadership and teams highlight the lowest hanging fruit in their organizations. The principles for our guide are:
Be Easy to Understand. Five clear steps with specific goals and outcomes.
Provide Value from Day One. No month-long assessments required.
Deliver Quantifiable Outcomes. Clear, objective, and measurable improvements.
Be Consistent. Produce repeatable results.
Be Universal. Applicable to a wide-variety of businesses and situations.
Using the concepts illustrated within this methodology, digital teams from every industry have been able to consistently deliver stellar customer experiences that encourage and maintain long term brand loyalty.
Today, most students in primary and secondary schools have never experienced life
without the internet or smartphones. This reality is reflected in the classroom where
digital learning processes and experiences are enhancing traditional textbooks and
upending conventional classroom teaching methods. Online lessons, testing and
assessments are now part of most curricula. Laptops, tablets and smartphones have
become primary instruction tools for students, who are downloading an increasing
number of online apps to enhance their digital learning experience.
Teachers and lecturers alike rely on robust, reliable Wi-Fi across their campus to
access the full range of teaching tools available to them.
Advanced technology in elementary, middle and high schools creates
new ways for students to learn, and changes how teachers plan
and deliver lessons. It also provides the digital tools for school
administrators to simplify operations, better comply with regulations,
and deliver a safer environment for students and teachers.
Is your K-12 network ready for the digital education innovations
of the future?
This guide provides school administrators and IT teams information
and strategies for designing efficient and cost-effective IT networks
that enable dynamic digital learning experiences. This secure, highperformance
platform supports administrative innovation for today
and into the future.
Published By: Iovation
Published Date: Aug 02, 2019
The digitalization of business processes and the advent of mobile computing have given rise to the next generation of fraud. Cybercriminals have a variety of tools and techniques—as well as opportunities—to steal money and services. Furthermore, traditional fraud prevention tools often fail to stop this fraudulent activity.
Companies need a new approach to fraud prevention—one that stops fraud early and preserves the user experience. Companies with an online presence must have the ability to:
Detect and respond to fraudulent activity before incurring losses
Leverage human insight and machine learning to identify advanced fraud
Work with other fraud analysts to identify larger fraud trends and stop cybercriminals on a global scale
Block more fraud while reducing fraud prevention costs
This book explores how companies can leverage a next-generation fraud prevention solution to stop more fraud while reducing costs and providing a positive user experience for trusted customers.
Life is coming at us fast, so our thinking about policy solutions for the future needs to be bigger, bolder and much more imaginative. We have just launched the second edition of Reimagine public policy. 20 truly, disruptive and innovative ideas to help solve today’s policy challenges. Four of them are brand new for this year – Reimagine high streets, digital platforms for life-long learning, workforce and migration.
The Reimagine ideas show how to:
• Revitalise the Great British High Street
• Remove the need for any family to choose between heating and eating
• Match hirers and firers to give workers facing redundancy new skills
Published By: Workday
Published Date: Oct 22, 2019
In the latest issue of our CIO Perspectives magazine, discover how IT executives are leading the way in innovation with exciting new technologies such as blockchain and machine learning. Read now to learn more.
Published By: Workday
Published Date: Oct 22, 2019
This whitepaper explores how machine learning can make your HR and finance ERP solutions smarter and more agile and efficient. Read now to discover how Workday leverages AI to deliver value you can trust.