Finance and Banking Advisory Industry should leverage on Process Autonomy now!

Finance and Banking Advisory Industry should leverage on Process Autonomy now!

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Finance and Banking Advisory Industry should leverage on Process Autonomy now!

Many leading financial services providers like banks, insurance companies including wealth and asset managers have successfully piloted robotics solutions, but relatively very few have succeeded in industrializing the benefits.

Robotic Process Automation helps financial organizations more easily accommodate change and embrace increasing complexity. As the market demands service, the pressures of competition grow in that market, your organization will need to continually change and evolve to stay in the mix. Robotic Process Management is easily scalable, with quickly deployable turnaround time and rapidly adaptable to tackle ever more, and ever more complex workflows, without adding to your operational headcount.

Software robotics promises to provide a solution that can rapidly automate all back-office and customer facing processes, making them faster, significantly more cost effective, and improving service consistency and maintaining regulatory compliance. Rather than looking at Robotics Process Automation (RPA) as a threat it can become complementary to any workforce, working hand in hand with people to help them focus on other higher priority tasks, also helping them improve their work efficiency and performance.

RPA is best for repetitive activities that require little intervention and that computers can do much faster than humans. Financial services companies across different sectors are all leveraging RPA and seeing massive benefits in the process. While RPA has implications in a variety of different industries, financial service institutions, like banks and insurance companies, stand to benefit the most. Especially because this industry is heavily regulated and has high security, auditability, and data quality demands, robotics and automation just make sense.

RPA agents can also assist in many of the services that consumer banks offer to their clients. For example, they can calculate mortgage and loan rates based on a customer’s credit score and history with the bank. You can also use RPA agents to determine whether customers qualify for refinancing their loans and send them notifications about loans that are in delinquency or default. Agents can also assist insurance companies at every stage of the sales funnel, from generating leads to cross-selling and up-selling. For example, you can use RPA to automatically download leads from websites that allow visitors to comparison shop with different insurance providers.

From car insurance to life insurance, RPA agents can update a customer’s policy based on claims and events. Not only can they accurately distribute payments, they can also find and correct data discrepancies on multiple systems.

According to the 2017 Deloitte state of cognitive survey, 76 percent of companies surveyed across a wide range of industries believe cognitive technologies will “substantially transform” their companies within three years. While independent studies suggest full return on investment within a year.

Studies suggests RPA can reduce manual operations costs by 25% to 40% or more, it does this while improving service and compliance, and typically provides a return on. Because the software replicates human activity, forming a virtual workforce available 24 hours per day, with full audit and 100% accuracy and transparency.

As financial services companies see the benefits of using RPA, we expect that more and more of them will take the leap. In the workplace of the future, RPA won’t be a competitive edge any longer. Instead, it will be a necessity for companies seeking to provide high-quality performance and service in a crowded financial services landscape.

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Is your interface AI ready ?

Is your interface AI ready ?

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Is your interface AI ready ?

The perception of #AI has completely disrupted the way we look at any piece of Data today. While, the most popular consumer apps of the world #Uber, #Amazon and #Netflix offer an immersive interactive experience, where the end user can experience the power of #MachineLearning and #ArtificialIntelligence, the world of Enterprise Applications are still struggling with converting the linear life cycle of their data architecture to be AI ready.

Oonslaught of new technologies in real time rich data collection, using #sensors has further deepened the Enterprise woes. The technology experts are still focussed on how to shape and train Artificial Intelligence for Enterprises using these new form of multiple types of real time data. But the real challenge lies in how will these Enterprise AI applications be brought to the end user to interact with ?

In the era of #autonomous integrations, prescriptive #analytics and #workflow #automation, where #Bots are replacing employees, it becomes very important how an employee of an Enterprise interfaces and interacts with his system. We have seen the era of heavy weight ERPs give way to lighter, more unified and smarter cloud applications, like #MicrosoftDynamics, #SAPHANA, #OracleERPCloud etc. The transformation was just not the technology, but also the ease of usability of data across devices. Today when we are moving away from the rigid #CloudApplications space to a more fluid #CloudPlatform centric space, where the end user is offered a minimal coding or a #zerocoding platform to self #automate processes, plan #projects, delegate #tasks and complete daily work, with the help of a customized #ArtificialIntelligenceEngine, the #userinterface becomes a primary challenge.

The best of the technologies fail to take off, if the the #UI is not simplified and device specific. The standards of #UI and #UX set by the movers and shakers of the cloud application space like #Salesforce and #Slack never fully succeeded in 100% adoption of its Enterprise users, the likes of excel sheets, emails and #whatsapp still had a very thriving parallel existence. One of their biggest mistake was to try and convert the web application experience into a mobile application experience, without taking into consideration the difference of an #iOS & #Android OS from that of a web browser.

The old linear Web based design implemented across devices

#UserInterface Design as a solution has always taken a back seat compared to list of features any application has to offer. But today when access and development of technology has a very democratic approach, and almost all applications offer everything, what really differentiates is the #UserExperience impact. Is the User of the application able to increase her/his efficiency ? becomes the clear goal… and this is only possible if the user is able to adopt the application with an ease. Enterprises investing in new technologies have to keep in mind the ease of adoption.

At #GreneRobotics our approach has always been driven from the perspective of user adoption. #UI design and #UX impact plays a major role in all our development efforts. Our cutting edge applications has always incorporated the latest technologies, but with a goal of fast and 100% adoption. The team of #GreneRobotics is amongst the first to introduce #conversationalERP in the #telco industry. The #UI is designed in such a way that the end user is always guided by the #EnterpriseAI engine across all his #tasks. It is just not about a #virtualassistant #UI, where in the user is guided how to use the application or being responded to text based or voice based queries… like the #alexa or #siri, this #UI adopts a very fluidic design approach to incorporate simple and easy interpretations of live and prescriptive analytics based on user behaviour and data flows. #GreneRobotics success rates in adoption for all its products across industries has always been above 97% within first 45 days of implementation.

The new immersive AI interface of the next generation Enterprise Softwares

The future of efficient #AI implementation in any Enterprise will be solely dependent on how impactful the #UserInterface is. It is time to get your interface design #AI ready !

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Grene Robotics partnered with Cognizant for Telstra Innovation Hackathon 2019 #TIH2019

Grene Robotics partnered with Cognizant for Telstra Innovation Hackathon 2019 #TIH2019

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Grene Robotics partnered with Cognizant for Telstra Innovation Hackathon 2019 #TIH2019

Cognizant + Grene recently participated in the Telstra Innovation Hackathon #TIH2019 to address a pressing business challenge of Telstra.

Exemplary Teamwork, High Energy and Disruptive Thinking were the order of the day throughout the Hackathon.
Thanks #teamcognizant #telstra for the opportunity …. Looking forward to the journey ahead!

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The AI & Robotics Transformation Engine

The AI & Robotics Transformation Engine

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The AI & Robotics Transformation Engine

From elastic infrastructure to application is a sequential journey for any enterprise.
In most cases using existing infrastructure might not serve the purpose of AI and robotics transformation.

Our AI platform has ready to use technologies in each of these 6 steps.

1. AI Cloud & Elastic Infrastructure

  • Associative Data Storage

  • Elastic Processing

  • Elastic Bandwidth

2. Resource management

  • Mobile Device Management

  • IOT Connected Assets

  • Existing System Integration APIs

3. Workflow Automation

  • Dynamic Workflow Collaboration

  • Robotic Process Automation (RPA)

  • Intelligent Process Automation (IPA)

4. Conversational User Interface

  • Augmented Intelligence

  • Contextual Awareness

  • Knowledge Graphs

  • Virtual Assistants

  • VPA Speakers

5. Decision Automation

  • AutoML

  • Decision Intelligence

  • Explainable AI

6. Action Automation

  • Edge AI

  • Smart Robotics

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30+ Technologies Stitched Together Seamlessly

30+ Technologies Stitched Together Seamlessly

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30+ Technologies Stitched Together Seamlessly

The tech stack is ever evolving and at a rapid rate of change. We choose technologies based on stability, security, resource availability and support. The plan is to always be on time.

A little early or a little late, both of these cases lead to the same outcome in adoption.

Technology maturity research and assessment is a core function within Grene Robotics. All our engineers spend 20% of their time on researching new technologies and as a team we make sure its the right time to introduce it to our stack

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