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.
"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."
AI will transform the workplace in ways we’re still trying to imagine. What skills and capabilities will your organisation need to survive? Read this report to find out – with contributions from government, academics and the Big Innovation Centre.
Download the report to discover:
• how AI will change the way economies, societies and businesses operate
• how AI will change the skills your workforce needs in the 21st century
• what AI means for the way we learn
• how AI will change the role of the HR function.
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.
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.
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
More data means more opportunities to discover powerful, actionable insights around customers, internal processes, and the broad market. Unfortunately, legacy IT architectures and approaches can block progressive analytics efforts.
That leaves a lot of room for improvement, and the learning and investment curve for starting in analytics can be steep. However, tending to three core steps will prove immensely helpful on this journey:
• Establishing an organizational foundation
• Mapping the data pipeline
• Transitioning analytics proofs of concept into production
Data management doesn’t come easier than this. Thanks to machine learning, artificial intelligence and the power of the cloud just about anyone can gain insight of their data. Easy to install, just tell the service level what you want and it does the rest. Oracle Autonomous Database self-repairs, patches automatically and counters threats with artificial intelligence. Autonomous for Dummies? We think its pretty smart.
This webinar demonstrates how connected data changes everything. In an autonomous world you’ll take the lead, becoming central to your company’s success. Machine learning will take care of the day-to-day maintenance leaving you to focus on design, analytics and strategy. And crucially, you’ll find yourself empowering and inspiring your colleagues to gain their own insights from real- time data.
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.
Os bancos em todo o mundo estão apostando muito em inteligência artificial e machine learning para lhes dar a vantagem tecnológica necessária para obter serviços bancários em tempo real, personalizados e preditivos. Um marco ajudará a diferenciar os primeiros ganhadores e fornecerá vantagens contínuas em inteligência.
Faça o download deste IDC Analyst Infobrief para saber como os melhores bancos do mundo estão se tornando mais pessoais, preditivos e mais em tempo real do que nunca.
O que você conhecerá:
• 8 tendências que refletem o nível de preparação do banco para a inteligência conectada
• 9 armadilhas para evitar e 9 maneiras de pular os obstáculos
• Os elementos básicos pessoais, preditivos e em tempo real da IA e ML para os bancos
• Líderes de destaque com base na pesquisa da IDC Financial Insights e em seus respectivos casos de uso
• Orientação essencial do IDC para os bancos líderes
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.
Los bancos de todo el mundo están apostando fuertemente a la inteligencia artificial y el machine learning a fin de obtener la ventaja tecnológica que necesitan para ofrecer servicios bancarios más personalizados, predictivos y en tiempo real. Un marco ayudará a diferenciar a los primeros ganadores y ofrecerles ventajas continuas en inteligencia.
Descargue este IDC Analyst Infobrief que le permitirá conocer cómo los mejores bancos del mundo se están volviendo más personales, más predictivos, y más en tiempo real que nunca.
Lo que usted conocerá:
• Las ocho tendencias que reflejan el nivel de preparación de los bancos para la inteligencia conectada
• Los nueve obstáculos que evitar y las nueve formas de salvar las brechas
• Los elementos básicos personales, predictivos y de tiempo real de la IA y el ML para los bancos
• Los líderes destacados de acuerdo con la investigación de IDC Financial Insights y sus respectivos casos de uso
• Una guía esencial de IDC para los bancos líderes
Servicios Financieros es una industria en la que la innovación siempre está presente. Los modelos de negocio transformadores como las casas de bolsa de bajo costo, los productos de inversión innovadores como los fondos de inversión cotizados, y las regulaciones estrictas como Gramm-Leach-Bliley son algunos ejemplos. Otros ejemplos incluyen:
• Las nuevas firmas fintech, como la reciente inversión de nueve mil millones de dólares hecha en Ant Financial Services Group, y un sinnúmero de otras empresas emergentes similares apoyadas con capital de riesgo, están apuntando a segmentos bien establecidos de la industria de servicios financieros.
• Servicios de gestores automatizados potenciados por la inteligencia artificial y el machine learning que apoyan a los asesores financieros y a los gestores de carteras
• Las regulaciones y las leyes para el manejo de riesgos que cambian constantemente, como GDPR, Basilea III y Open Banking, y que transforman la manera en que se interactúa con los
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.
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