Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
Are you looking for information to help you with your artificial intelligence deep learning journey? This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
Hello, greetings, and welcome to Conversational Unified
Communications. I’m Brien Posey. For those of you who don’t
know me, I am a long time Conversational Geek author, and
17-time Microsoft MVP. My professional background is in both
IT and in commercial astronautics. It’s an odd combination for
sure. I sometimes find myself setting up virtual machines on
one day, and being strapped into a space capsule the next day
(seriously). Thankfully, Peter, Nick, and the rest of the folks at
Conversational Geek have embraced my unorthodox (dare I say
eccentric) career choices and have allowed me to author books
on subjects ranging from the cloud computing to real life
rocket science. I would like to personally invite you to go to
ConversationalGeek.com and check out some of these other
In this book, I want to talk about unified communications.
Those of you who follow my work may recall that back in 2009 I
wrote another book about unified communications called Brien
Posey’s Guide to Pract
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.
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.
Published By: VeriShip
Published Date: Jul 26, 2019
You may believe your shipping operation is a well-oiled machine; you pay your invoices on time, your costs seem to be under control and, as
far as you know, your customers are satisfied with your service… But with shipping, there’s more than what meets the eye.
Here are five common mistakes shippers make
Connected Intelligence in Insurance
Insurance as we know it is transforming dramatically, thanks to capabilities brought about by new technologies such as machine learning and artificial intelligence (AI).
Download this IDC Analyst Infobrief to learn about how the new breed of insurers are becoming more personalized, more predictive, and more real-time than ever.
What you will learn:
The insurance industry's global digital trends, supported by data and analysis
What capabilities will make the insurers of the future become disruptors in their industry
Notable leaders based on IDC Financial Insights research and their respective use cases
Essential guidance from IDC
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence.
This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on.
Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
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.
To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support.
At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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 Insurance industry continues to undergo significant transformation, with
new technologies, business models, and competitors entering the market at an
increasing rate. To be successful in attracting and retaining the most valuable
customers, insurance companies must innovate and increase the speed at which
they respond to customer demands. Traditionally, the insurance software market
was dominated by a handful of specialist vendors with products that were initially
expensive, difficult to deploy, costly to maintain, and did not provide the speed
needed for today’s market.
Now there has been a shift away from these “black box” applications to platforms
that allow insurers to make their algorithmic IP available to business users, allowing
much faster response to business demands. The algorithmic platform approach also
comes at a fraction of the cost of black box solutions, while delivering advanced
analytical techniques like Machine Learning and Artificial Intelligence (AI).
Artificial intelligence (AI), including machine learning and deep learning, is set to become one of the most transformational technologies in the history of the world, affecting most aspects of our lives whether we’re conscious of it or not. The application of these technologies will likely reshape how people work, study, travel, govern, consume and pursue leisure activities.
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.
Profits are the name of the game for a lot of technology solution providers, but keeping them coming in the door isn’t always simple. Building a solid foundation starts with a strong, efficient sales team. This eBook helps outline the five keys to creating and maintaining a well-oiled sales machine that allows you to bring in more business and encourage recurring revenue from your existing clients.
The oil field is being dynamically transformed through the connective power of the Internet, the advancements in remote connected sensors, and the possibilities of machine learning and artificial intelligence (AI).
As the quest for hydrocarbons and alternative energy sources extends into deeper and harsher environments, operators, service companies, and asset owners are leveraging technology advancements to ensure their employees are safer, their fields are more productive, and their capital assets are operating at peak efficiency.
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.