• Artificial Intelligence (AI)
• Cloud Evolutions
• DevOps Expertise
• Machine Learning
• Smart Revolutions
• Bid data Era
• Block Chain
• Business Intelligence (BI)
• Robotic Automated Process (RAP – AI)
ARTIFICIAL INTELLIGENCE (AI).
We are equipped with more than 20 Data Scientists and analytics consultants with knowledge and experience in a vast set of techniques such as Data Mining and Machine Learning, enabling business to successfully implement Artificial Intelligence (AI).
We have experience working in numerous projects in both private and public sectors with respect to implementing technologies like Al Chatbots.
Chat bot: Out of the many applications of Al technologies, chat bots are the most popular and are currently making the biggest noise among top executives.
A chat bot platform is a toolset which is used to build and deploy artificial conversation entities. Every organization has its own set of unique challenges that can be overcome by convenient automation provided by chat bots. Often powered with Al and its related components like Natural Language Processing, Machine Learning etc. These platforms can deploy tailored made bots which usually integrate into the existing enterprise ERP systems.
APPLICATION OF ARTIFICIAL INTELLIGENCE
Artificial intelligence (AI) is steadily passing into everyday business use. From workflow management to trend predictions, Al has many different uses in business. It also provides new business opportunities.
- Improve Customer Services
- Automate Workloads
- Optimise logistics
- Increase Manufacturing Output and Efficiency
- Prevent Outages
- Predict Performance
- Predict Behaviour
- Manage and Analyse your data
Improve your Marketing and Advertising
CLOUD EVOLUTIONS.
Cloud computing is a process that entails accessing of services, including, storage, applications and servers through the Internet, making use of another company’s remote services for a fee. This enables a company to store and access data or programs virtually, i.e. in a cloud, rather than on local hard drives or servers.
Cloud computing has its roots as far back in 1950s when mainframe computers came into existence. At that time, several users accessed the central computer via dummy terminals. The only task these dummy terminals could perform was to enable users access the mainframe computer. The prohibitive costs of this mainframe devices did not make them economically feasible for organizations to buy them. That was the time when the idea of provision of shared access to a single computer occurred to the companies to save costs.
Cloud Migration
We have integrated our Cloud services with Private Cloud, Virtual Private Cloud, and Public Clouds.
Google Cloud Platform
SYNNOVE Global System Singapore is one of the premier Google partners for SAP Cloud migration in the SEA region.
Cloud Migration
SYNNOVE Global Systems’ Cloud-based services include Cloud-based business process solutions, Cloud migration strategy, and advisory services. Our infrastructure team is equipped with Cloud Infrastructure migrations, Application Migration and Cloud Integration Services.
SYNNOVE is capable of Cloud system monitoring and managed services for both Platform and Application levels. We have integrated our Cloud services with Private Cloud, Virtual Private Cloud, and Public Clouds.
Google Cloud Platform
SYNNOVE Global System Singapore is one of the premier Google partner for SAP Cloud migration in the SEA region. SYNNOVE plans to collaborate with Google Cloud and SAP to help customers devise a comprehensive cloud strategy, migrate their SAP applications to Google Cloud Platform (GCP) and manage their entire cloud environment.
SYNNOVE Global Systems enabled with GCP certified Engineers and SAP HANA certified Consultant onboard, together with Google and SAP will offer customers a triple play of value-providing SAP customers with all the capabilities required to digitally transform critical business processes and applications, while modernizing core infrastructure and managing hyperscale cloud operations.
GCP is certified to run SAP workloads (including SAP S/4HANA, SAP BW/4HANA, SAP Business Suite, SAP Business Warehouse and other apps such as SAP Hybris, SAP Business One, SAP Solution Manager and SAP Business Objects BI Suite) as a secure and reliable hosting environment, and the two integrate easily and effectively while offering customers access to Google Cloud’s flexible, secure infrastructure and networking, analytics and machine learning capabilities.
SYNNOVE will also offer a full suite of solutions for running SAP applications on GCP. The inaugural offerings include the SYNNOVE Invoice Management Solution, which will automate invoice processing in the SAP system landscape, and the SYNNOVE Visual Inspection Solution, which will automate the visual inspection process and accelerate inventory restocking.
SYNNOVE is one the leading provider of SAP S/4HANA Migration and implementation services, and the organization recently received Singapore 100 SME Awards recognizing its outstanding contributions.
DEVOPS EXPERTISE.
SYNNOVE is ready for DevOps in SAP, Non-SAP Infrastructure Operations, Development Operations and Agile IT Service Management. In close cooperation with our client, we are rethinking, reimagining and recreating development, service, and operation synergistically. To enable our clients to thrill them with efficient IT services and realize more innovation rapidly.
With our partner solutions we highly specialize in an agile solution portfolio, our partner solutions build bridges between development and operation for SAP systems, IT Service Management and other various business processes.
We are setting new benchmarks in automated capture, visualization, and data processing. Primarily we focused on medium-sized companies in this region and were appreciated for the highest quality of products and services. We trust on quality and collaborated with them based on the trust we built.
Our team was part of the developing DevOps for SaaS solution, and we also developed solutions for DevOps for example for Code repo, Bug tracking etc. We are having experience in SAP DevOps, Developing DevOps and Solution DevOps capabilities
WHY ADOPT DEVOPS FOR SAP SOFTWARE?
Businesses that can’t continually adapt in the face of change won’t remain relevant for long. Your SAP systems are the critical enablers of your response to this new demand. That means you need to be able to update and improve them as quickly as you deliver new products, features and services to your customers. Most importantly, you need to do so safely, without risk to the business.
Automate to Improve
Process automation is a critical part of a DevOps approach, helping to minimize risk and eliminate errors. Automation allows valuable development resources to focus on business challenges and innovation.
Automate Workloads
Collect and analyse data from smart sensors, or use machine learning (ML) algorithms to categorise work, automatically route service requests, etc.
Align with Business Needs
DevOps makes IT highly responsible to business needs. New features and services are implemented fasten and often, delivering value sooner. This provides the agility to respond to new business strategies and changing market conditions.
Continuous Delivery
DevOps for SAP software systems to change continuously, so that they can keep up with the rest of the business and expectations customers. Integration of the business and IT team collaboration provide fast, frequent checkpoints and feedback.
MACHINE LEARNING (ML).
Business today are experimenting with increased use of Artificial Intelligence and machine learning tools to digitally transform their business processes from providing good customer engagement to employee management. The corporate sector has the capability of making automated decisions without any risks involved by incorporating machine learning. In fact, corporate investment in machine learning and Al is expected to increase manifold in the next five years or so.
WHY MACHINE LEARNING FOR YOUR COMPANY?
Below are the several ways businesses will be influenced by machine learning leveraged by the ‘cloud’.
Providing Personalized Customer Service
Delivering personalized customer service is more than just addressing a customer by name in an automated email, or segmenting by interest; it is a way to capture the customer’s attention and create a level of engagement that is authentic and relevant at every stage of the customer journey. According to studies, 41% of U.S. consumers abandoned a brand due to lack of personalization and trust. For organizations to succeed in creating a truly personalized CX, innovative approaches must be implemented to resonate deeply with customers so that they feel valued and appreciated. These strategies are increasingly being explored from 2018, over 50% of companies will have redirected investments towards customer experience innovations.
Data Visualization & KPI Tracking
One of the biggest benefits of machine learning algorithms is expediting the data discovery process. Because they’re designed to automatically improve their analysis as they scan information, machine learning tools are ideal for companies that have constant data streams. This real-time visualization can let you see what is happening exactly at all points of your production chain and understand how new factors affect existing data. More importantly, these algorithms can help you identify outliers and unexpected outcomes. Combining data visualization and machine learning lets you establish baseline metrics for performance before scanning for any situation that breaks that mold. This can help you react faster, more effectively, and avoid downtime across your operations.
Improved Finance Management
Machine learning in finance may work magic, even though there is no magic behind it. Still, the success of machine learning project depends more on building efficient infrastructure, collecting suitable datasets, and applying the right algorithms. There is a wide range of open-source machine learning algorithms and tools that fit greatly with financial data. Additionally, established financial services companies have substantial funds that they can afford to spend on state-of- the-art computing hardware. Thanks to the quantitative nature of the financial domain and large volumes of historical data, machine learning is poised to enhance many aspects of the financial ecosystem.
Innovate Marketing & Management
Nowadays, implementing Machine Learning into their business is essential for companies seeking to optimize their marketing. The technology can help sort through large datasets, categorize them and make marketing suggestions based on that information. Also, it makes the marketing experience more targeted and personalized to consumers. This ensures that right products and services are advertised to right people. With Al marketing tools available at their disposal, companies are now revamping traditional marketing techniques and databases in exchange for advanced analytics and data-processing technologies which will increase their consumer traffic and boost ROI, in the long run.
Recruitment Process made Simpler & Convenient
Recruitment and hiring the right people has always been full of struggles like removing human bias, shortlisting the most suitable candidate and at the same time being cost effective. Machine learning brings automation to this hiring process and with machine learning algorithms it is possible to shortlist the most suitable and qualified candidate from among hundreds of applicants who will be able to take the company to greater heights.
Detection of Fraudulent Practices
Many companies often lose a fraction of its revenue every year due to frauds. Machine learning algorithms can use information from social networks, historical transactions and other sources of data for recognizing spot anomalies or exceptions. This will help to detect and prevent fraudulent practices in real time. Machine learning also has great potential for reimaging its business processes and is advisable to integrate the right tools to improve your ROI.
What We Provide?
We at Synnove Global Systems strive towards finding a solution that caters best to your business needs. At Synnove we take pride in our Out-Of-The box thinking approach towards finding a solution in an efficient manner. Synnove is doing the research and development on consolidated reports for organizations which requires some days to prepare for the analyst. But with the help of Al (Machine Learning and Deep Learning) we harness those expertise and capabilities we can generate this in few mins and allow a ready chat bot to the business owners.
SMART REVOLUTIONS.
SMART CITY
Smart Cities implement the collection of various data of their citizens through electronic sensors spanned over an urban area that collect data. This data is then used to manage the assets and resources efficiently.
Street Lighting
The Smart Street Lights Solution is an integral part of “Smart Cities Solutions”. In order to save energy and to inculcate economy and efficiency in the system the solutions have to be designed and customized. Also the need of smart communication system and real time fault detection makes it necessary to develop a complete solution for “Smart Street Lighting”.
Video Surveillance
Smart video surveillance systems are capable of enhancing situational awareness across multiple scales of space and time. It describes mobile based remote control and surveillance architecture.
Whether Monitoring
Environmental monitoring have received much attention recently to reduce the impact of Climate change. Our monitoring systems are equipped with environmental sensors used to capture distributed meteorological measurements at any particular place and report them in real time on cloud.
Smart Buildings
A smart building uses automated processes to automatically control the building’s operations including heating, ventilation, air conditioning, lighting, security and other systems. A smart building uses sensors, actuators and microchips, in order to collect data and manage it according to its functions and services. This infrastructure helps owners, operators and facility managers improve asset reliability and performance, which reduces energy use, optimizes space management and minimizes the environmental impact of buildings.
Traffic Management System
All metropolitan cities face traffic congestion problems especially in the downtown areas. Normal cities can be transformed into “smart cities” by exploiting the information and communication technologies (ICT). The paradigm of Internet of Thing (IOT) can play an important role in realization of smart cities. An IOT based traffic management solutions for smart cities to choose the path where traffic flow can be dynamically controlled and traffic violations are been identified by onsite traffic officers through centrally monitored or controlled through Internet.
BIG DATA ERA.
HDFS in Hadoop architecture provides high throughput access to application data and Hadoop MapReduce provides YARN based parallel processing of large data sets. The basic principle of working behind Apache Hadoop is to break up unstructured data and distribute it into many parts for concurrent data analysis. Why use Hadoop technologies:
Managed Analytics for data driven Enterprises
How can Managed Analytics model help enterprises take strategic competitive advantage? Analytics is often perceived as a beast to manage. Embarking on an analytics initiative can be very intimidating since it’s seen as complicated with heavy reliance on IT, expensive and difficult to manage and maintain these systems. Hadoop managed analytics model can help enterprises take strategic competitive advantage by understanding their data and how it can help benefit the performance of the business.
Why Enterprises need Analytics
- Growth and Sustainability
- New market opportunities
- Staying Focused
Challenges of delivering Analytics in an Enterprises
- Complexity
- Expensive
- Heavy reliance on IT
- Data Quality
- Organizational Readiness
How Managed Analytics model address the challenges and help Enterprises take strategic competitive advantage
- Complexity
- Total Cost of Ownership
- Reliance on IT
- Data Quality
- Enabling organizational readiness
BLOCKCHAIN.
A reliable, difficult-to-hack record of transactions – and of who owns what. Blockchain is based on distributed ledger technology. It securely records information across a peer-to-peer network. It was originally created for trading Bitcoin, blockchain’s potential reaches far beyond cryptocurrency.
A reliable, difficult-to-hack record of transactions – and of who owns what. Blockchain is based on distributed ledger technology. It securely records information across a peer-to-peer network. It was originally created for trading Bitcoin, blockchain’s potential reaches far beyond cryptocurrency.
HOW BLOCKCHAIN WORKS?
Blockchain is a cloud based database shared by every participants in a given system. Below figure shows a transaction of currency trading. The blockchain contains the complete transactions of the cryptocurrency or other records keeping in other applications. Think of it as a cloud based peer to peer ledger.
Why Block Chain?
- Blockchain ledgers can include land titles, loans, identities, logistics manifests – almost anything of value.
- The technology is still new, but the potential impact it can have on business is exciting and immense. It is a cryptographically secure distributed database technology for storing and transmitting information.
- Each record in the database is called a block and contains details such as the transaction date and a link to the previous block.
- Advantage of blockchain is that it is decentralized.
- No one controls the data entered or their integrity.
As long as the network exists, the information remains in the same state.
BUSINESS INTELLIGENCE (BI).
What drives the need for implementing a BI program? Furthermore, more to the point, what are the essential drivers for business investigation and in what manner can the advantages be adequately imparted to the relevant organizational partners?
Business intelligence (BI) uses programming and administrations to change information into noteworthy intelligence that advises an organization’s vital and strategic business choices. BI devices get to and investigate informational collections and present systematic discoveries in reports, outlines, dashboards, graphs and maps to furnish clients with point by point insight about the condition of the business.
A direct methodology for considering the estimation of a BI program takes a look at business forms, the source of their generated value, performance measures, and where the missing information blocks the total accomplishment of business achievement. By sorting measurements of business value, we at SYNNOVE Global Systems can analyse the manners in which that BI can add to expanded execution along-those measurements.
HOW IS BUSINESS INTELLIGENCE USED?
Business intelligence has as positive a impact on an organization’s people as it does on performance, projects, and decisions. Business Intelligence is used to turn data into actionable information for leadership, management, organization and decision making. The following are some of the ways organizations are learning to use business intelligence:
- Analysing customer behaviours, buying patterns and sales trends
Measuring, tracking and predicting sales and financial performance
- Budgeting and financial planning and forecasting
- Tracking the performance of marketing campaigns Optimising processes and operational performance
- Improving delivery and supply chain effectiveness
- Web and e-commerce data analytics
- Customer relationship management
- Risk analysis
- Strategic value driver analysis
ROBOTIC AUTOMATED PROCESS (RAP-AI).
Robotic process automation (RPA) is the term utilized for programming devices that in partly or completely automate human exercises that are manual, rule-based, and tedious. They work by recreating the activities of a real human collaborating with at least one programming applications to perform undertakings, for example, information passage, process standard transactions, or react to straightforward client administration inquiries. Undoubtedly, the “chat bot” that has begun to end up pervasive on sites is quite often a Robotic process automation device, not a human. It can deal with the run of the mill standard inquiries like “where is X on the site”, “how would I reset my secret word”, and such.
Professor Leslie Willcox, an expert in technology, work, and globalization at the London School of Economics, notes that robotic process automation enhances human skills and “takes the robot out of the human.” (aiim, 2019)
BENEFITS & WHAT IS RPA
We’ve all heard the stories about how robotic process automation (RPA) can augment repetitive, mundane, and error prone clerical task. And, there’s good reason RPA has received all the recent hype. First and foremost, it is return on investment (ROI); RPA pundits promise a return on investment anywhere from 30% to 300% in the first year. But it is not just a “build it and ROI will come” scenario, there are different flavors and uses for RPA. For many companies, RPA is a game changer; saving them time and money on repetitive manual tasks. From attended automation, where your human workforce uses RPA to accelerate work, to unattended and hybrid human/robot RPA, robotic process automation offers a real-world solution to a real- world problem.
Our Approach towards RPA
- RPA Readiness and Opportunity Assessment- Identify if and where RPA can add the most value to you
- Proof of Concept- Experience the future potential for yourself
- Making the Business Case- Through a current cost assessment and future savings analysis
- Vendor Selection & Pilot Development- Vendor neutral assessment & implement quick win opportunities
- Preparing you to run your new ‘Robotics Shop’ – Developing additional skills around maintenance, support, testing and quality assurance.
