In recent computing, "Automation" is the most commonly used word.
This word often has a negative connotation, as it brings up worries related to job loss and job replacement, but here's the reality.
To
analyze what we're trying to automate and how humans will evolve to create new
forms of work, we need to:
- Collaborate with robots/bots
- Build new patterns of
productivity
- Create differentiated opportunities and markets
This is the
best time to participate in building the future of work solutions for the next
20 years.
The future is about “working along with robots” not “working against
automation or robots."
This generation of humans will be become smarter and will evolve to create new solutions. There will be an increasing demand for those who can understand the future world and technologies like AI and Deep Learning.
Yes, the mundane, repetitive, recurring jobs
will go away; but that is to be expected in any form of computing.
So why has the discussion around AI, Machine, Deep
Learning and BOTS been significant during the last 2 years?
1. Infrastructure processing abilities have enabled voice
based chat processing. This conversational interface integrates with
applications and enables end users to interact in new ways. The cloud platform and infrastructure helps with design, development and integration of solutions.
2. We're bringing machines closer to human thinking. As we research contextual human
working patterns, and natural interfaces, we're thinking of new ways to compute. The algorithms and data patterns are
already available at data sets. The neural network, a programming architecture that can deal
with multiple inputs and uses layers of nodes that model neurons, functions like the nervous system.
3. Robots
have helped us build human pattern intelligence and algorithms to augment the future world.
4. The technology
enablement of extending the five senses (see, hear, feel, touch, taste) in a unified solution is creating a new
world of application possibilities. The virtual, augmented and mixed reality
world will change the customer experience.
Furthermore, emotional APIs are
being built to augment human behavior. For example, CRM applications that understand how the customer is feeling about your
service, without any paper form or discussion, are not far away.
5. With
organizations examining productivity and customer cost pressures for business innovation, automation will become the norm with AI
technologies. We need resources to enable, architect and execute
the automation to determine which tasks are repetitive and mundane in order to continuously create
new patterns of innovation.
Oracle is innovating within the the AI/Deep Learning space. These developments are very exciting and will generate a lot of interest in the future.
Adaptive applications
Adaptive Intelligent
Apps are uniquely powered by enormous amounts of the following:
- Digital consumer and business
data from Oracle’s Data Cloud
- Sophisticated decision science/machine learning
- A scalable cloud infrastructure
This will continuously
improve outcomes as the system reacts, learns and adapts. There is a value
exchange between the end user and the adaptive intelligent app: the more the end
user interacts, the more value they receive.
Chat bots platform
According to the Oracle Mobile Platform Blog:
"Oracle positions its
platform as an interface for enterprise apps. The chatbots will also work with
apps like Facebook Messenger, Slack and so on. Chatbots employ a
conversational interface that is both lean and smart, and if designed properly,
is even charming. They can help people find the things they want and need, in
real-time, without the hassle of searching online or navigating a complex
customer service organization."
The
Virtual Assistant “ChatBot” platform will enable Mobile Cloud Service to engage
in conversations across chat channels: SMS, WhatsApp, Facebook Messenger and
Slack.
According to the Amis Technology Blog:
"When the APIs invoked by the ChatBot have
been implemented using predictive analytics and machine learning, the dialog
may appear smart and include recommendations, proactive responses and relevant
warnings."
Oracle Management Cloud
"Oracle Management Cloud is a
suite of IT infrastructure monitoring, management and analytics applications
delivered as a service. Oracle Management Cloud’s log analytics service,
for example, uses machine learning to cluster data and identify patterns in
real-time log data to spot outliers and enable administrators to troubleshoot
and resolve problems quickly."
According to Oracle.com,
"Another Oracle Management Cloud service,
application performance monitoring, continuously learns the behavior of each
application component, such as a web server request, and detects anomalies in
real time, reducing the need to manually manage threshold-based alerts across
hundreds of metric streams."
IOT Analytics Platform
“The main goal is to provide an IoT analytics platform that combines data from devices and equipment as well as other data lakes or enterprise applications,”says Bhagat Nainani, Oracle Group Vice President of Engineering.
Oracle HCM using Machine Learning
According to Oracle.com,
"Oracle Human Capital Management Cloud’s recruiting feature uses machine learning algorithms to help HR departments sort through resumes. In the past, HR software would 'simply parse through the résumés looking for keywords—the big advantage being the ability to deal with large amounts of data,' says Mark Bennett, work-life and collaborative products strategy director at Oracle."
To build the right AI and deep learning skills, we
need to have a deep understanding of database, programming and digital
technologies.
A good starting point is
to explore the oracle IAAS andPAAS technologies to learn how they can be used to
develop augmented solutions on SAAS for the future.
There are multiple
components in PAAS/IAAS which are provided as service. These can be used for
developing solutions:
- Application Builder Cloud
- Big Data Preparation Cloud
- Business Intelligence
Cloud
- Database Cloud
- Database Backup Service
- Developer Cloud
- Integration Cloud
- Internet of things cloud
- Java Cloud
- Messaging Cloud
- Mobile Cloud
- Process Cloud
- SOA Cloud
- IAAS on Cloud
Explore Oracle Cloud Learning SAAS, IAAS and PAAS for professionals.
Consider Oracle Student Learning Subscriptions, which leverage the
PAAS/IAAS platform.
Get started on Java, Database and Node.Js
programming for students and get Oracle Certified to validate expertise and differentiate yourself in a competitive job market.
About the Author:
Sudhir Menon is a seasoned and experienced techno-management professional with 22+ years of diverse experience across consulting, industry solutions, architecture, and technology management. He is very passionate about architecture and has diverse experience managing customers and building solutions specific to industry mapping to the business needs.
He has strong consulting experience in building IOT, Analytics, Cloud and Middleware Solutions for large customers. He is currently doing research around IOT and Analytics and building next generation solutions. He works as principal consultant at Oracle University.
You can reach him @sudhir.g.menon@oracle.com.