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sábado, 12 de mayo de 2018

LAOUC (Latin America Oracle Users Group Community) presenta: "LAOUC Cloud Webinars"



LAOUC (Latin America Oracle Users Group Community) es el grupo “umbrela” oficial para todos los grupos de usuarios Oracle en Latinoamérica.

La actividad primordial del LAOUC es representar y vincular a toda la comunidad de usuarios Oracle en el continente, promoviendo la participación, difundiendo el conocimiento e intercambiando experiencias entre todos los miembros. Siendo un canal de comunicación centralizado entre la comunidad y la corporación Oracle.

LAOUC “#Latin #America #Oracle #Users #Group #Community” le invita a participar en los Webinars sobre Cloud, denominados “#LAOUC #Cloud#Webinars” y que tienen como propósito que los participantes fortalezcan temáticas relacionadas con la gestión y administración de servicios en la nube.

Y aún cuando todos abogamos por cada uno de nuestros valiosos compañeros, quiero invitarles a que no se pierdan en especial mi práctica el día 11 de julio.


Pronto estaremos dando a conocer el horario de la misma.

No te lo pierdas!!

martes, 1 de mayo de 2018

Arquitecto de Información: Un nuevo desafío y una nueva etapa



Este mes de abril, significó para mi un nuevo acomodo en el día a día. Un nuevo puesto laboral, me lleva ahora a un nuevo espacio.

Wikipedia lo define como: la disciplina y arte encargada del estudio, análisis, organización, disposición y estructuración de la información en espacios de información, y de la selección y presentación de los datos en los sistemas de información interactivos y no interactivos.
 
Esta definición explicada profundamente es bastante cerca a mi trabajo actual, pero deja de lado algunos puntos sumamente relevantes, como por ejemplo la seguridad de la información y el uso futuro de de la misma.

En los próximos días, estaremos inmersos en un mundo de constante mejora, llevando la información a la tecnología. Aplicando controles de calidad, aseguramiento de la data y garantizando el acceso a la misma.


Veremos una evolución en el contenido del blog, más apegado a temas de computación en la nube, machine learning y seguridad informática.

Espero tenerlos de visita continua por acá.

Por otro lado, es mi compromiso público, tener finalizado para este año mi primer libro. Siempre he dicho que cuando escriba algo, no voy a utilizar el clásico formato, "For Dummies". Este libro irá más dirigido a sacarle provecho a quienes tengan algún conocimiento en la materia. Por eso mi libro llevará la defición: Not For Dummies.

Para los próximos meses espero estar presente en el ODT ( anterior OTN TOUR ) en la ciudad del DF, México, así como en Quito, Ecuador. Así que espero verlos por ahí.

Cuando tenga confirmada mi participación, les adelantaré sobre que estaré hablando.

martes, 17 de abril de 2018

La IA sigue adelante en su proceso de inclusión en la sociedad.


Fuente: https://techcrunch.com/2018/04/16/sword-health/

Cada día que pasa, vemos más y más aplicaciones funcionales de la IA en la vida cotidiana. Algunos siguen pensando que es ciencia ficción o un fake news lo que leen en los medios digitales y escritos. Lo cierto es que estamos siendo "invadidos" por una serie de "nuevos accesorios inteligentes" que nos permitirán llevar una mejor calidad de vida y ampliar nuestra expectativas de vida en un presente cercano.

Les dejo este buen artículo sobre el tema.
Sword Health, una empresa emergente que opera en Portugal y ha desarrollado una solución digital de fisioterapia para permitir que los pacientes sean tratados de forma remota en sus propios hogares, ha recaudado $ 4,6 millones en fondos iniciales. Respaldando la ronda están Green Innovations, Vesalius Biocapital III y otros inversionistas no identificados en los Estados Unidos y Europa.


La compañía dice que usará el nuevo capital, que se suma a una subvención anterior de ~ $ 1.2 millones de la Comisión Europea, para acelerar el desarrollo de nuevas terapias digitales e impulsar el crecimiento global.

Utilizando lo que describe como una combinación de "sensores de movimiento de alta precisión" y los últimos avances en IA, la solución Sword Health tiene como objetivo hacer que la fisioterapia sea infinitamente más escalable, en reconocimiento de la escasez mundial de fisioterapeutas. Su producto estrella, "Sword Phoenix", ofrece a los pacientes ejercicios interactivos de rehabilitación física desde la comodidad de su propio hogar, supervisados ​​por fisioterapeutas remotos.

"Hace veinte años, mi hermano tuvo un accidente automovilístico. Lo que me di cuenta entonces (y esto sigue siendo cierto ahora) es que hay una gran brecha entre la demanda de fisioterapia y nuestra capacidad, como sociedad desarrollada, de ofrecer esa terapia ", dice el cofundador y CEO de Sword Health, Virgílio Bento.

"El problema es que la industria de la rehabilitación física no ha cambiado en los últimos 50 años. Seguimos dependiendo mucho de la interacción uno a uno entre paciente y terapeuta, que es el estándar de oro, pero no es un modelo escalable y en realidad es muy costoso tanto para los pacientes como para los proveedores de atención médica ".

Para remediar esto, Bento y el equipo de Sword comenzaron a trabajar en lo que él llama un concepto de "terapeuta físico digital". La idea es que al usar sensores de movimiento conectados a los lugares apropiados del cuerpo de un paciente, combinados con una interfaz de usuario impulsada por AI que pueda tomar esos datos de movimiento y dar retroalimentación instantánea, parte de lo que hace un fisioterapeuta puede ser aumentado por las máquinas.

"Con Sword Phoenix, los equipos clínicos extienden su huella terapéutica al hogar de cada paciente, amplían su alcance y pueden dedicar más tiempo a entregar el toque humano", dice.

Hasta la fecha, Bento dice que Sword está trabajando con compañías de seguros, servicios nacionales de salud, organizaciones de mantenimiento de la salud y proveedores en los EE. UU., Canadá, Australia, Noruega y el país de origen de la startup, Portugal.

"Estos clientes pueden proporcionar servicios de fisioterapia de mayor calidad directamente en el hogar del paciente y disminuir los costos operativos al mismo tiempo, un logro que solo es posible en el cuidado de la salud a través del uso inteligente del análisis de datos y la tecnología", agrega.

En términos de competencia, Bento argumenta que la mayoría de las compañías de tecnología para la salud se centran en el desarrollo de tecnologías que mejoren la interacción con el terapeuta de pacientes uno a uno (por ejemplo, Tyromotion, Hocoma). "Esta mejora incremental no es la solución porque no da como resultado un cambio de paradigma", dice.

Dicho esto, Bento reconoce que hay otras startups tratando de crear un terapeuta digital. Uno que he cubierto en detalle es Hinge Health respaldado por Atomico, que ha desarrollado una solución digital para trastornos musculoesqueléticos (MSK).

Oracle Hot Topics: ORA-1/10388 ON INSERT SELECT TO TABLE WITH QUERY HIGH


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My Oracle Support Site Alert: MOS Community Threads to be Searchable by Internet Search Engines


IMPORTANT NOTICE: 

As part of our continuous innovation process, starting June 1, 2018 Oracle will make select My Oracle Support Community information available to public search engines for indexing and search: My Oracle Support Community Space and Subspace name, thread title/header, thread post date and the first 100 words of the first thread post. Access by external search engines is limited to these attributes, and My Oracle Support login will still be required to access full Community content. Please note that this change applies retroactively for all existing post content as well as for all future posts. You must remove your existing posts using the instructions located here prior to June 1, 2018 if you do not want these posts searchable by third party search engines.

domingo, 8 de abril de 2018

Oracle Named a Leader in the 2018 Gartner Magic Quadrant for Identity Governance and Administration


Press Release 
Oracle Named a Leader in the 2018 Gartner Magic Quadrant for Identity Governance and Administration 
Oracle positioned as a Leader based on completeness of vision and ability to execute 

Redwood Shores, Calif.—Apr 2, 2018 

Oracle today announced that it has been named a Leader in Gartner’s 2018 “Magic Quadrant for Identity Governance and Administration” report for the fifth consecutive time. Oracle believes this recognition further validates the strength and innovation of cloud security services Oracle has introduced over the past year and its ability to help enterprises better integrate security solutions to manage their business. 

“Security and Identity has quickly become one of the most critical areas businesses must address in order to be successful and maintain regular operations, and identity governance is a critical foundational step any enterprise should take to strengthen its security posture,” said Eric Olden, senior vice president and general manager, security and identity, Oracle. “Over the last year, Oracle has significantly enhanced its solutions’ capabilities to help enterprises manage, analyze and remediate security incidents with Oracle’s autonomous security capabilities. We are continuing our commitment to offering a trusted identity fabric and portfolio to help enterprises secure their businesses.” 

According to Gartner, “IGA Leaders deliver a comprehensive toolset for governance and administration of identity and access. These vendors have successfully built a significant installed customer base and revenue stream, and have high viability ratings and robust revenue growth. Leaders also show evidence of superior vision and execution for anticipated requirements related to technology, methodology or means of delivery. Leaders typically demonstrate customer satisfaction with IGA capabilities and/or related service and support.” 

In December, Oracle announced the first cloud-native identity governance service for hybrid cloud environments, which will be fully integrated and native to Oracle’s SaaS applications, Oracle Identity Security Operations Center (Identity SOC) portfolio (including Oracle Identity Cloud Service and Oracle CASB Cloud Service), as well as Oracle Management Cloud. In addition, Oracle expanded its consumer identity management capabilities in Oracle Identity Cloud Service through integrations with Oracle Marketing Cloud and Oracle Data Cloud. 

Oracle’s integrated security suite of the Oracle Identity SOC portfolio and Oracle Management Cloud are designed to help enterprises forecast, reduce, detect, and resolve security threats and assist in efforts to remediate application and infrastructure performance issues. Leveraging artificial intelligence to analyze a unified data set consisting of the full breadth of security and operational telemetry, as well as provide automated remediation, Oracle’s integrated suite is designed to enable customers to quickly adapt their security and operational posture as their risk landscape changes. This application of machine learning can potentially help thwart attacks, reduce the detection window from months to minutes, and more quickly address security breaches and performance outages. 

Download a complimentary copy of Gartner’s 2018 “Magic Quadrant for Identity Governance and Administration” here

Source: Gartner, “Magic Quadrant for Identity Governance and Administration,” Felix Gaehtgens, Kevin Kampman, Brian Iverson, 21 February 2018. 

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

Connect with Oracle Cloud Security on Twitter and via Oracle Cloud Security Blog
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Contact Info 

Jesse Caputo
Oracle
+1.650.506.5967

Oracle Hot Topics: INSTANCE CRASH ORA-07445 [KGGHSTFEL+192] ORA-07445[KGGHSTMAP+241]


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Sat, 7 Apr 2018 23:59 GMT-08:00

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Sat, 7 Apr 2018 22:42 GMT-08:00

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Sat, 7 Apr 2018 01:14 GMT-08:00

Larry Ellison: Oracle Is Revolutionizing The Database -- And IT Service Delivery


Saying it ranks among the “most important things we’ve ever done,” Oracle Executive Chairman and CTO Larry Ellison announced general availability of the company’s fully autonomous database service, Oracle Autonomous Data Warehouse Cloud.

It’s an entirely new class of IT offering, Ellison said, using machine learning, a branch of artificial intelligence (AI), to deliver industry-leading performance, security capabilities, and availability with no human intervention. “This technology changes everything,” he said. “The Oracle Autonomous Database is based on technology as revolutionary as the internet.”

By combining the high performance and high availability of the company’s Oracle Real Application Clusters (RAC) and Oracle Exadata technologies with machine learning, “the service can patch, tune, and update itself” with no human intervention, Ellison said. “The AI software learns kind of like kids learn,” he explained, “by inspecting large quantities of data and learning to understand patterns in what it encounters.”

To set up, provision, and use Oracle Autonomous Data Warehouse Cloud, a user simply answers a few short questions to determine how many CPUs and how much storage the data warehouse needs. Then the service configures itself typically in less than a minute and is ready to load data.

Once the data warehouse is up and running, its operation also is autonomous, delivering all of the analytic capabilities, security features, and high availability of Oracle Database without any of the complexities of configuration, tuning, and administration—even as warehousing workloads and data volumes change.

‘Really Impressed’

Early customers are seeing the benefits. “I've been really impressed with how Oracle Autonomous Data Warehouse Cloud can take different types and sizes of analytic workloads and get better performance without any fine-tuning on our side,” said Benjamin Arnulf, director of business intelligence and analytics with Hertz. “It will allow us to reduce costs and reinvest savings into improving customer service.” 

Sebastien Masson, a database administrator at CERN, the Swiss-based physics research center, noted that Oracle Autonomous Data Warehouse Cloud “automatically reduced the storage required by important control systems by a factor of 10.”

The data warehouse’s machine learning capabilities are also critical in the ongoing battle to secure data against cybercriminals and hostile nation states, Ellison said. In addition to encrypting all of its data, Oracle Autonomous Data Warehouse Cloud automatically applies patches to known system vulnerabilities while running.

“Having patching done autonomously is huge for closing those vulnerabilities,” said Paul Daugherty, chief technology and innovation officer at the global consulting firm, Accenture. “Then you can apply machine learning and get predictive to understand the threats and get smarter about how to diagnose and defend. That’s the future.”

Fulfilling its broader vision for Oracle Cloud Platform services, Oracle plans to roll out other autonomous services throughout 2018 and beyond, Ellison said, including autonomous integration, developer, mobile, Internet of Things, and online transaction processing services.

AWS Comes Up Short

At the launch event at company headquarters in Redwood City, California, Ellison showed how Oracle Autonomous Data Warehouse Cloud can run faster than comparable database offerings from Amazon Web Services, while being more scalable, and costing less.

Noting that Oracle charges the same per CPU minute as AWS, Ellison cited recently updated benchmarks that show workloads running in Oracle Autonomous Data Warehouse Cloud completed tasks five times faster (and thereby five times less expensively) than the same Oracle Database workloads running in the AWS cloud. “Same exact workload, same exact database,” he said.

In addition to running faster and thus costing less, Oracle Autonomous Data Warehouse Cloud is truly elastic, Ellison said, while the Amazon Elastic Compute Cloud, ironically, is not. With the AWS service, “you pay for a fixed configuration” and when you want to add CPUs, you have to take the database down and wait, he said.

George Lumpkin, an Oracle vice president of data warehousing, joined Ellison on stage to show how a business user would experience Oracle’s autonomous data warehouse. “If your workload goes up, the service increases CPUs to handle it,” Lumpkin said. “But let’s suppose you don’t need to use the data warehouse until tomorrow. Shut down the CPUs and you aren’t paying for them until you start them back up tomorrow.”

Oracle Autonomous Data Warehouse Cloud also self-tunes, continuously optimizing the system’s resources based on the queries coming in, which maintains high performance without any manual tuning or intervention by database administrators.

Oracle How Machine Learning Can Improve Recruiting


By Susan Poser, Oracle Insight, and Sharad Sinha, Oracle Strategy & Operations

How do you know you are hiring the right candidates? According to the Society for Human Resource Management, the average cost per hire is US$4,129, and it takes an average of 42 days to fill an open requisition. Imagine that amount being multiplied by all of your open positions over the course of the year. Then there is the issue on the other side of the coin—what if you rush to hire and you don’t hire the right person? A study found that 41% of employers estimated a single bad hire costs US$25,000, and 25% put the figure at US$50,000 or more.

What can companies do to reduce the cost per hire, as well as to reduce the chance of a bad hire? One approach is to use machine learning. Today, machine learning is already being used to make recruiting more efficient in three different areas: 
Application and résumé review: Screening résumés based on keywords, leveraging social data to identify candidates, and using online questionnaires 
  • Pre-engagement: Deploying artificial intelligence (AI) assistants and chatbots to respond to candidate inquiries or schedule interviews 
  • Talent sourcing: Narrowing top candidates from a large pool using key attributes 
How is machine learning doing this? Machine learning iteratively applies algorithmic analytical models to preprocessed data to uncover hidden patterns or trends that can be used to flag ideal résumés to review, predict the correct response to inquiries in the pre-engagement, or identify the best candidates for talent sourcing. While all of these areas can help reduce time and money spent to fill the position, there is one we believe can make the biggest impact to ensure you are hiring the right person: talent sourcing.

Will machines have better success finding the right candidates for your open positions than your recruiters? Ideally, a computer will find correlations and patterns that you would overlook, which would lead to increasingly higher-quality candidates. Here are some considerations if you are thinking about using machine learning to help with talent sourcing.

Passive Sourcing

To leverage machine learning, you need to first define the variables on which to “train” the system. The variables you should consider will depend on your approach. Are you sourcing passive candidates—people who aren’t actually looking for a new job—or are you looking to narrow top candidates from a large pool of applicants? If you are doing the former, you might want to consider attributes such as how recently or frequently they have updated their LinkedIn profile, because this could indicate that they might start looking for a job or are already on the hunt. Or consider factors affecting current employer stability (such as mergers and acquisitions, layoffs, and stock fluctuations). You could also look at market indicators to help predict a downturn in a particular industry or company, which might create a plethora of available candidates, giving you an early advantage.

Active Sourcing

On the active recruiting side, imagine receiving hundreds, if not thousands, of applications for open positions. Here is where machine learning can help narrow the top candidates, depending on the trainability of your data. Do you have enough historical and relevant data on successful candidates or employees to train your system? It’s as though you are looking for a “mini-me” based on the profile of the “ideal” employee. The attributes you consider here will depend on the role, but one approach would be to reverse-engineer the best fit by looking at the attributes of successful employees in that role, such as their work experience, industry, and work product. Other attributes to consider would be the number of jobs they’ve had in the last five years, their tenure in each job, major and extracurricular college activities for a recent-college-graduate hire, or hobbies (competitive sports might be good for a sales role). You could also leverage machine learning to target candidates who have a higher probability of success based on prior recruiting strategies.

Diversity and Inclusion

Some companies might be looking to fulfill a certain Equal Employment Opportunity ratio, and machine learning can help. One company used machine learning to help increase female hires from 40% to 47% and minority technical hires from 1.5% to 11%. However, in some cases, you don’t want to bias the “pool” based on gender or ethnicity. So how do you manage these situations? It is critical to eliminate the bias that could become inherent in machine learning. Data anonymity, clustering, and data aggregation are some ways to avoid the inherent biases (for example, ensuring that protected classes, gender, or age do not become factors in the algorithms).

Human Touch

While using machine learning can help reduce your recruiting cycle time, cost, and number of bad hires, you still need human intervention to manage the “candidate experience.” Humans will still need to ensure the candidate experience is positive through actions such as frequent personal communication and high-quality and consistent interviewing techniques, regardless of the outcome for the candidate.

The future of recruiting is certainly changing. The question is, are you ready? And if so, how will you embrace technology to help reduce hiring costs and increase your chances of hiring right the first time?

Related:



miércoles, 4 de abril de 2018

#hackerdevil_oracle #hacking_etico Escalación de privilegios a DBA


Qué tan peligroso pueden ser estos 3 privilegios en conjunto?
@OracleDatabase

grant create session, create procedure, create any index to superusuario;

Mañana te lo contaremos.

Escalación de privilegios a DBA. Una razón más para migrar a 12c, si aún no lo haz hecho.
@oracleace

jueves, 29 de marzo de 2018

Oracle Hot Topics: OCR MANUAL BACKUP FAILS WITH U_CHECK_BKUP: BACKUPFILE COULD NOT BE VERIFIED


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Thu, 29 Mar 2018 03:46 GMT-08:00

Oracle Redefines the Cloud Database Category with World’s First Autonomous Database


Press Release 
Oracle Redefines the Cloud Database Category with World’s First Autonomous Database 
Delivers industry-leading performance, security capabilities, and availability at half the cost of Amazon Web Services 

Redwood Shores, Calif.—Mar 27, 2018 

At an Oracle event today, Oracle Executive Chairman and CTO Larry Ellison announced the availability of the first service based on the revolutionary new Oracle Autonomous Database. The world’s first self-managing, self-securing, self-repairing database cloud service, Oracle Autonomous Data Warehouse Cloud, uses machine learning to deliver industry-leading performance, security capabilities, and availability with no human intervention, at half the cost of Amazon Web Services. 

“This technology changes everything,” said Ellison. “The Oracle Autonomous Database is based on technology as revolutionary as the Internet. It patches, tunes, and updates itself. Amazon’s databases cost more and do less.” 

Oracle Autonomous Data Warehouse Cloud delivers all of the analytical capabilities, security features, and high availability of the Oracle Database without any of the complexities of configuration, tuning, and administration—even as warehousing workloads and data volumes change. The autonomous database is an entirely new class of offering which requires zero operational administration on the customer’s part, enabling cloud data warehousing that is: 

· Easy. The industry’s first one-step warehouse provisioning spins up a secure data warehouse with automatic backup, encryption, and a high availability architecture in mere seconds. Migration to cloud is simple due to full compatibility with existing on-premises databases. 

· Fast. Industry-leading query performance with no tuning required. Oracle Autonomous Data Warehouse Cloud is so fast that Oracle guarantees the same workload at half the cost of Amazon Web Services[i]

· Elastic. Independent, online scaling of compute and storage. The ability to dynamically grow or shrink resources enables true pay-per-use, dramatically lowering costs. 

The world’s most popular data warehouse database is now the world’s simplest and safest. Leveraging decades of experience and technology leadership to transform how companies benefit from database services, Oracle Autonomous Data Warehouse Cloud is the first of many Oracle Autonomous Database Cloud services. Other services in development include Oracle Autonomous Database for Transaction Processing, Oracle Autonomous NoSQL Database for fast, massive-scale reads and writes (commonly demanded by the Internet of Things), and Oracle Autonomous Graph Database for network analysis. Each of these offerings is tuned to its specific workload, and shares the defining characteristics of Oracle Autonomous Database services: 

· Self-managing. Eliminates human labor and human error to provision, secure, monitor, backup, recover, troubleshoot, and tune the database. Automatically upgrades and patches itself while running. 

· Self-securing. Protects from external attacks and malicious internal users. Automatically applies security updates while running to protect against cyberattacks, and automatically encrypts all data. 

· Self-repairing. Provides automated protection from all planned and unplanned downtime with up to 99.995 percent availability, resulting in less than 2.5 minutes of downtime per month, including planned maintenance. 

The Oracle Autonomous Data Warehouse is built on Oracle Database 18c, the first release in Oracle’s new annual database software release model. A hotbed of innovation with over 100 new features, Oracle Database 18c is now available on Oracle Cloud Services, Oracle engineered systems, and livesql.oracle.com

Today’s announcement follows on the heels of Oracle’s recently announced expansion of its Oracle Cloud Platform Autonomous Services. During this calendar year, Oracle plans to deliver Oracle Autonomous Analytics, Oracle Autonomous Mobility, Oracle Autonomous Application Development and Oracle Autonomous Integration services. 

[i] Oracle will cut your Amazon bill in half when you run the same data warehouse workload on Oracle Autonomous Data Warehouse Cloud Service as compared to running on Amazon AWS. The minimum workload is one hour for this offer. Offer valid through May 31, 2019. Terms and conditions apply. 


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Contact Info 

Nicole Maloney
Oracle
650.506.0806

Jessica Moore
Oracle
650.506.3297

Research on Emerging Tech Aims to Make Work Easier


By Jake Kuramoto, Oracle Senior Director, Emerging Technologies

Recently, at Oracle CloudWorld in New York, Oracle President Thomas Kurian talked about how emerging technologies can change the way you do your job for the better.

Investigating this impact is the primary focus of the AppsLab, the Oracle Applications User Experience (OAUX) Emerging Tech team, and it is what my team and I explore every day.

A recent post on Forbes.com, "3 Examples Of How Emerging Tech Will Change Your Work," examined three specific ways emerging technology could be incorporated into enterprises. In this post, we're going to tell you about the research we've done on a few of those technologies, specifically artificial intelligence (AI), autonomous experiences, ambient interfaces, and the Internet of Things (IoT), and discuss our findings on how these technologies might affect your work and improve your user experience.

Artificial Intelligence

The term AI covers a lot of territory, but generally speaking, it refers to intelligence demonstrated by machines. Like many people, we’re also fascinated by the efficiencies AI could produce in the workplace. Rather than building a giant artificial brain, we’ve decided to start smaller—with chatbots.

We began thinking about ways to automate tasks using bots in 2010, but we didn’t begin developing exploratory projects in earnest until late 2015. As with most of our projects, we started by asking questions and researching ways people thought chatbots could help them do their jobs more efficiently.

By Oracle OpenWorld 2016 we had a working prototype, just in time for the big announcement of the Oracle Intelligent Bot Cloud Service. Our chatbot focused on tasks that Oracle Cloud Applications users wanted to streamline, such as simple human resources (HR) tasks like payroll and vacation queries that could be performed in applications already familiar to the user, using tools they already know how to use such as text and instant messaging.


We continue to gather research by showing chatbots in the Cloud UX Labs at Oracle HQ, and we now have several bots for different domains within Cloud Applications, including HCM, Sales, and ERP Cloud.

The feedback from people who see these chatbot demos typically is very positive; they can easily see the value of texting a chatbot with a simple inquiry like, “Did I get paid my bonus?” or a more complex one like, “Can I take a vacation this Easter?” Getting instant answers to questions like these creates a valuable efficiency that resonates with all Oracle users.

Autonomous Experiences

Through our research on chatbots, we discovered many cases where the AI we were building could save time by making basic assumptions for a user and automatically composing something in the system.

At Oracle OpenWorld 2017 last September in San Francisco, we demonstrated an expense bot. Usually, expense reports require a fair amount of manual work, but we found simple ways to automate the process.

For example, the demo shows the bot automatically uploading and parsing pictures of receipts. It then determines the amount of the expense and the time of day, makes an assumption on the type of expense, and creates an expense report. Several steps in creating such a report are now automated.

Another feature of the expense bot monitors the user’s email inbox for pdf receipts, such as hotel folios or rental car receipts, then uploads and parses them to itemize and categorize the expenses automatically.

This was all done via a chatbot that simply notified the user when expense items were created and ready for use. When the user was ready, an expense report was created and submitted.

We also built in an option where, if any policy violations occurred on the expense report, the user could log in to Oracle ERP Cloud to review and rectify them.

No one likes doing expenses, so people who see this demo are happy to offload the pain to a chatbot. Plus, we found new insights that can be valuable, such as automatic itemization of hotel folios, which allows for local tax comparisons that could lead to savings.

Ambient Interfaces

For several years, ambient interfaces have interested us. At CloudWorld, Kurian referred to “ambient human interfaces” as virtual assistants that users interact with by voice. 

Our investigations into ambient interfaces have included virtual assistants, as described in the previous sections, but we also view them as the next iteration of smartphone notifications, passively showing only the most important information.


At Oracle OpenWorld 2016, we showed an ambient visualization; the original goal was to create a piece of art that changed based on information gathered from the room. Anyone who understood why the visualization changed could get real-time data on where people were in the room, but to everyone else, it was just a piece of dynamic art.

As with many of our projects, this was a research initiative. By giving an example of what we meant by an ambient interface, people could apply their own knowledge to give us valuable examples of how this type of interface would help them with their work.

Internet of Things

The connected world around us has been an area of personal interest for our team for nearly a decade, and a few of our team members have been building internet-connected projects at home since before the term Internet of Things (IoT) was coined.

This long history has led to several IoT projects, including a real-world Smart Office in our lab at Oracle’s headquarters in Redwood City, California, and its portable equivalent that has been shown around the world. We also developed an IoT-based Community Quest with Oracle Developers at Oracle OpenWorld 2015, and our IoT workshops have been part of Oracle Code events since the program began in 2017. And at last year’s Oracle OpenWorld, we collaborated with the Oracle IoT Cloud Service team, Oracle Developers, Relayr, an Oracle partner, and Alpha Acid Brewing Company to create IoT Cloud Brewed Beer.

Our focus recently has been on making the sensor-filled environments around us more valuable. Now that physical spaces and objects are collecting data, what efficiencies can we uncover in that data to benefit our work? As always, we’ll be conducting research first, asking questions, and listening to people.

Follow our work: Follow our progress on our blog and in the Emerging Technologies section of our team website. Find us on Twitter (@theappslab), Facebook, and Instagram

5 Benefits of Shifting to Smart Manufacturing


By: John Barcus, Vice President, Oracle Manufacturing 

Manufacturers are adopting smart technologies to improve efficiencies in their factories. But many companies are stuck in the early stages of adoption. They often discover that initiating a smart-manufacturing project is labor-intensive, time-consuming and costly. A common hurdle manufacturers encounter is the integration of multiple technologies. 

Cloud applications help manufacturers reduce costs related to these challenges and shorten project timelines. In the following sections, we’ll take a closer look at how smart technologies are increasing opportunities for manufacturers and best practices for efficient implementations. 

The Smart Factory Opportunity 

In the next five years, smart factories may contribute as much as $500 billion in added value to the global economy, according to Capgemini’s Digital Transformation Institute. The reason: Smart factories can produce more with lower costs, according to a recent report. In fact, manufacturers expect smart technologies to drive a sevenfold increase in annual efficiency gains by 2022. Some industries can expect to nearly double their operating profit and margin with smart technologies. 

Smart factories increase output, quality, and consistency. Additional benefits include: 
Streamlined and automated data: Smart technologies automate data collection and provide advanced production analytics, so managers can make more informed decisions. In a smart operating environment, manufacturers can tie their operations technology with business systems to measure their key performance indicators against business goals. 

Predictive maintenance: With better visibility, manufacturers can predict and resolve maintenance issues before they lead to downtime or product-quality issues. For example, sensors affixed to machines or devices may send condition-monitoring or repair data in real time, so manufacturers can identify problems more efficiently. 

Significant cost reductions: Manufacturers can identify waste and increase forecast accuracy when their operations and enterprise systems are connected. They have better insight into supply chain issues, such as inventory levels and delivery status, as well as demand cycles. With this information, they can reduce costs related to excessive inventory or unexpected production volume. 

Reduce workforce challenges: Automation helps manufacturers launch and complete projects with fewer workers. Having real-time access to data across multiple platforms frees workers to focus on their core responsibilities. This allows manufacturers to innovate faster without investing in additional resources. 

Enhanced productivity: Smart, connected systems help factories improve throughput. In a connected enterprise, manufacturers have seamless visibility into bottlenecks, machine performance, and other operational inefficiencies. With this data, manufacturers can make adjustments to increase yields, improve quality, and reduce waste. 

Efficient IoT Integration and Implementation 

The smart manufacturing transformation begins with the Internet of Things (IoT). IoT-enabled devices send performance-related information via sensors over a network. During the early-adoption phase, many manufacturers struggle to build IoT applications and integrate them with disparate business applications. 

According to the previously cited survey from Capgemini’s Digital Transformation Institute, digitally mature manufacturers apply the following best practices to overcome these challenges: 
  • 85% say they hire consulting firms to help build a business case and roadmap 
  • 67% say they partner with technology providers for feasibility studies 
  • 63% use end-to-end technology solutions 
One of the ways Oracle is helping manufacturers address the integration challenge is through a partnership it formed with Mitsubishi Electric. The companies are providing manufacturers with an open platform for developing IoT applications that integrate seamlessly with Oracle cloud apps. 

IoT apps developed on the Mitsubishi Electric FA-IT Open Platform collect data from factory equipment for visualization and analysis. Oracle IoT Cloud, which is designed to integrate with other Oracle cloud-based business systems, receives this information from these IoT apps in real time. 

“Mitsubishi Electric’s new FA-IT Open Platform is based on edge computing to accelerate IoT utilization for smart manufacturing,” says Toshiya Takahashi, corporate executive group senior vice president, factory automation system, Mitsubishi Electric Corporation. “By adding Oracle Cloud services to this platform, we believe that it will be possible to visualize factories and build an application development environment. To provide the platform to customers early, we will also work with partner companies, including IT companies, to develop applications utilizing the platform." 

Seek IoT Expertise to Speed the Adoption Process 

Smart technologies offer a significant competitive advantage for manufacturers. But they’re not easy to implement. Manufacturers can overcome early-adoption challenges with the help of experienced consultants. When seeking a consulting firm, it’s important to consider advisors who have significant experience helping factories transition to smart technologies. This will help cut the implementation phase and place manufacturers on the right path from the beginning. 

A do-it-yourself implementation is typically costly and time-consuming. Oracle and our partners have the experience and expertise to help manufacturers build a comprehensive cloud-based solution using an efficient, cost-effective process that delivers immediate results. Check out our latest ebook for more information. 

Oracle Opens ‘Phenomenal’ Campus in Texas State Capital


AUSTIN, TEXAS—State capital. One of the world’s premier destinations for live music. And now, with the opening of Oracle’s sprawling 40-acre campus on the south shore of Lady Bird Lake, a global center of cloud computing innovation. 

The centerpiece of the new Oracle complex, a 560,000-square-foot office building, is home initially to 2,500 employees, but that number is expected to grow. At the March 22 launch ceremony, Larry Ellison, Oracle’s executive chairman and chief technology officer, said as many as 10,000 employees could eventually work there. “We have big plans,” Ellison said. 

The state-of-the-art complex—with a full-service restaurant, food truck, Starbucks coffee shop, game rooms, fitness center, and 295-unit apartment compound—was designed to help Oracle recruit top talent, including recent college graduates hired as part of the company’s immersive “Class Of” sales training program. “Oracle is expanding in Austin to attract, hire, and train the best talent to support the unprecedented growth of our cloud business,” CEO Mark Hurd said. 

The building will include the first of Oracle’s Next-Generation Contact Centers, designed to support fast, efficient customer interactions using the latest technologies, including curved, wide-screen monitors, real-time intelligence with contextual data, and click-to-call capability. “It’s a powerful way to expand our reach and make it easier for our reps to do their jobs,” says Downs Deering, senior vice president of the Oracle Digital sales team. “They have information at their fingertips.” 

 

A new Oracle Cloud Solution Hub, staffed by Oracle engineers, will demonstrate innovative projects built with and for customers using emerging technologies such as artificial intelligence, virtual reality, and Oracle Blockchain Cloud Service. The hub, and three more like it at other Oracle locations, will help customers conceive their own ideas for digital transformation. 

Austin is also the first US site of the Oracle Startup Cloud Accelerator program, launched in 2016 and already operating in Brazil, England, France, India, Israel, and Singapore. The six-month program gives startups access to Oracle resources, including mentoring, workspace, and free Oracle Cloud credits, as well as to Oracle customers. 

Location, Location 

With a metro area population of 2 million and growing, Austin thrives on its decades-long heritage of food, music, the outdoors, and a creative, entrepreneurial spirit. Oracle’s campus will help the company not just fit into the local scene, but also compete with other tech companies looking to hire from universities in the state, including Baylor, Texas A&M, and the University of Texas at Austin. 

In his remarks at the opening ceremony, Ellison said it is important for Oracle to be situated in the heart of Austin, and in particular near the water so that employees can kayak and hike. (Lady Bird Lake is a reservoir on the Colorado River.) “Austin is one of the places we want to be because we think that’s where our people want to be,” he said. “We want to develop the kind of facilities where you feel good about coming to work every day.” 

 

Ellison refused to consider sites on the outskirts of the city, and he shared an anecdote about his search for the right location. When the car he and Hurd were in to go view real estate headed miles out of town, Ellison told the driver to turn around: “I said, ‘This isn’t Austin. I’m not getting out of the car.’” 

The site on Lady Bird Lake was just what Ellison and Hurd were looking for. “We think this is a phenomenal facility to house fantastic people, who hopefully will come to Oracle whether they're experienced or right out of college, and be able to develop their careers, learn new technologies, and grow as the company grows,” Ellison said. 

Deering describes Oracle’s new digs—including a rock-climbing wall, outdoor collaboration spaces, and Austin-themed murals—as an “experience” that goes well beyond the new furnishing and workspaces. “This is the first place I’ve ever worked at,” he says, “that my kids will think is cool.” 

John Foley is director of strategic communications for Oracle.