Archive for the ‘RPA and DMS’ category

HA for UiPAth Orchestrator

November 2nd, 2019

High availability and geo-redundancy are popular topics as our customers scale their Robotic Process Automation (RPA) infrastructure, and the business impact of robot downtime becomes greater.
“high availability” means having two or more instances of a service running and synchronized so that if one fails, the service remains available.
“Geo-redundancy” is a specific approach that places those instances in different countries, to protect against potentially more significant threats.

For on-premises, third-party, and hybrid configurations, the new solution form UiPath is the High Availability add-on for UiPath Orchestrator. It’s built on, and replaces, REDIS, which many customers have used previously – but it comes from UiPath and delivers on key capabilities customers have been asking for:
• A fully supported, enterprise-grade UiPath redundancy solution
• Active-Active failover support with local latency
• Easy upgradability from REDIS (open source or Enterprise), our previous recommendation
• Scalability from two UiPath Orchestrator instances up to the largest global installations

Orchestrator, lets you optimize your robot workforce. Among other things, Orchestrator prioritizes (and in some cases initiates) robots’ work, shares information between them, and lets you manage, monitor, and audit robots from one place. With Orchestrator, software robots do more for your business, and as your business scales robot use, Orchestrator itself becomes more and more critical to your RPA environment.

One Orchestrator can handle a lot of robots in a typical configuration, but any product running on a single server is vulnerable to failure if something happens to that server. This is where the High Availability add-on is like an insurance policy that keeps your robot fleet running. The High Availability add-on enables you to add a second Orchestrator server to your environment that is always fully synchronized with the first server. If anything happens to one of the servers (from disaster to planned maintenance), then the workload is picked up seamlessly by the other. Your robots carry on supporting your business as though nothing happened.

The High Availability add-on can be used further to enable geo-redundancy: two or more Orchestrator servers can be installed in multiple countries, providing local latencies under normal conditions. However, if one of those servers fails, the others immediately pick up the workload.If you are running Orchestrator in a third-party cloud, then you may be less concerned about hardware failure – but you may still want to regionalize your Orchestrators and protect against needing to take one offline, especially when your compliance requirements mandate the ability to provide a full audit 24/7.

The High Availability add-on is always required when you want to run more than one connected and synchronized Orchestrator instance, whether you are running these on your own physical hardware, virtualized hardware in the cloud, or a hybrid scenario.

SnapLogic iPasS integration as a service – from Synergy Software Systems.

October 20th, 2019

Business Intelligence Managers/Analysts, Data/ETL Engineers, and Information/Data Architects are tasked with empowering business users to make use of
data to drive smart decisions and innovations. Data-driven initiatives can be challenging considering the explosion of data volumes due to the proliferation of sensors, IoT, and mobile computing.

Moreover, a growing number of groups within the business want access to fresh data.

To fully harness their data, organizations must also have a cloud strategy for their digital transformation efforts, namely to migrate data from
on-premises environments to the cloud. Considering the tremendous business value of unlocking that data, it’s imperative to prioritize and streamline these
data integration and migration projects.

Gone are the days when IT needed hundreds of coders to build extract, transform, load (ETL) solutions and then maintain those by writing more code. Modern integration platforms eliminate the need for custom coding. Now, data integration projects deploy and scale, often as much as ten times faster.

iPaaS platforms ease the pain because they’re designed for flexibility and ease of deployment for any integration project. A drag-and-drop UX coupled with a powerful platform and hundreds of pre-built connectors out of the box.

The connectors are always up-to-date, so the IT organization doesn’t spend an inordinate amount of time maintaining every integration by hand. This saves an incredible amount of time, money, and frustration across the team and projects and greatly reduces risk.

Not all integration platforms are created equal. Some do simple point-to-point cloud app integrations while others transform large and complex data into a data lake for advanced analytics. Some stgill require extensive developer resources to hand-code APIs while others provide self-service, drag-and-drop offerings that can be used by IT and business leaders alike. Some are best for specific tactical projects while others provide a strategic, enterprise-wide platform for multi-year digital transformation projects.

Organizations must address four key steps during the data migration and integration process:
1. Capture data that supports both the known use cases as well as future undefined use cases (think IoT data to support a future machine learning
enabled use case).
2. Conform inbound data to corporate standards to ensure governance, quality, consistency, regulatory compliance, and accuracy for downstream
consumers.
3. Refine data for its eventual downstream application and/or use cases (once its been captured and conformed to corporate standards).
4. Delivery of data needs to be broad and prepared to support future unknown destinations.

For decades, IT has been tasked to manage integration projects by writing tons of custom code. This onerous task is even more complex with the proliferation of SaaS applications, the surge in big data, the emergence of IoT, and the rise of mobile devices. IT’s integration backlog has exploded. Not only is the deployment too much work, but there is a growing cost to maintain all of the integrations.

Deploying a tactical or departmental data warehouse solution should take days, not months. Moreover, enterprise-wide data transformation projects should take months, not years.

The best data integration platforms:
- Support multiple app and data integration use cases across cloud, on-premises, and hybrid deployments
- Offer the flexibility to be used in cloud, hybrid, or on-premises environments, regardless of the execution location
- Provide a self-service user experience aided by AI, machine learning, hundreds of pre-built connectors, and integration pipeline
templates (patterns) resulting in greater user productivity, and faster time-to-integration
- Have an underlying, scalable architecture to grow with evolving data and integration requirements
- Support different data modes such as streaming, event-driven, real-time or batch

The SnapLogic iPaaS offering is functionally rich and well-proven for a variety of use cases. It supports hybrid deployments and provides rich and differentiating features for analytics and big data integration (Hadooplex). Clients score SnapLogic as above average for cloud characteristics, functional completeness, ease of use and ability to meet SLAs.” Gartner

SnapLogic is a U.S.-based integration platform company. In mid-2013, it transitioned from a traditional software business to an iPaaS model with the release of the SnapLogic Elastic Integration Platform which provides a large set of native iPaaS capabilities that target the cloud service integration, analytics and big data integration use cases.

The flagship Enterprise Edition features a set of base adapters (Snaps), an unlimited number of connections and unlimited data volume.

Synergy Software Systems has been an Enterprise Solutions Integrator in the GCC since 1991. We are pleased to announce our formal partnership to represent Snap Logic in the MEA region.

Do you need to integrate with Azure? with SAP Data Warehouse Cloud? with Workday? With Odette compliant auto mamufacturers………..?.

To learn more call us on 009714 3365589

RPA_Robotic Process Automation in Dubai – contact UI Path Gold Partner, Synergy Software Systems

October 6th, 2019

The automation first era is going to pose many challenges. An organization that is set up with the tools to transform, has the adaptability, flexibility, scalability and agility to continue to grow and succeed. The hype around digital transformation belies widespread, and often unspoken confusion on whether, why, when, and how to achieve it

In a recent poll by The Economist, 93% of business leaders said that digital transformation starts with automation. Going from that belief to transformation, however, is a path not many have yet clearly understood or articulated. To achieve digital transformation a major change management step is to establish an ‘automation first’ mindset. Whole established in manufacturing it is still a new paradigm for most ‘back office’ business processes. Most organizations recognize the potential of automation , but most are equally unsure about the next steps to leverage RPA to transformation their entire organization.

The good news is that you can start with one or two processes and scale later. There are always some areas of quick wins with clear short term ROI, low risk, that make life easier, reduce errors, and reduce costs, without major disruption that free up skilled staff to do more value added work.

Trusted by 60+ government agencies and thousands of commercial companies, the UiPath platform includes the security and audit capabilities you need to simplify compliance with the regulations that matter to your organisation. Indeed RPA provides greater data security and privacy protection than manual input.

In this year’s ranking of the top 100 private cloud companies in the world.Forbes moved UiPath to number 3, (up from 14th).
UiPath was also named a Leader in the 2019 Gartner Magic Quadrant for Robotic Process Automation Software.

UiPath’s extensible platform offers hundreds of built-in, customizable, shareable activities, plus deep integrations with the technologies you already use. Deploy and manage multiple varied processes from front-office to back-office, regardless of complexity.

UiPath Robots are learning new AI skills to automate more processes. Use out-of-the-box AI skills, source specialized AI skills from Synergy Software Systems, or let us help build your own AI skills. Seamlessly use these AI skills in your automations with UiPath drag-and-drop AI.

Synergy Software Systems is the most certified and fastest to achieve Ui Path Gold partner status in the region and we already have already completed many successful and diverse projects.

Transformation of the enterprise requires three primary automation strategies:
1. Build awareness and excitement to support growth
2. Extend automation to every person
3. Introduce and facilitate both a top-down and bottom-up automation first mindset

Make Robotic Process Automation (RPA) a first principle, to improve digital processes. Design automation strategies for each phase of growth and transformation, .

RPA deployment goes through three stages of evolution.

Early adopters automate processes across a few business units. Most of the work is done internally by each business unit.

In the second stage, process scale up, and businesses standardize their approach to automation. They consolidate best practices and facilitate the growth of a mature Center of Excellence (CoE).

In the third stage, ‘digital transformation;, employees have the freedom to automate tasks as necessary. Employees are empowered to find the most suitable processes to automate from the bottom up. This approach can be seen in many areas of digital technology. Microsoft for example talks of citizen developers. In the last 30 years office automation tools such as Word processing, spreadsheets, emails and so on have empowered employees to be more productive and more creative without depending on administrative or IT staff. The ability to write macros and to configure rather than code further enhanced productivity. RPA is the office productivity tool for Millenials and Generation Z employees.

The C-suite cultivates that engagement with an automation first mindset, and the CoE ensures proper deployment from the top down.

A1 Maturity model

The key to success after the scale up phase is for the automation strategies that both align with your business strategy and ensure your expanding scale is sustainable.

Automation will bring efficiency and productivity benefits as soon as you start deploying it, but the full potential is possible only when its part of your DNA.

1. Build the people power to support transformation. Early RPA success will create RPA champions and developers inside siloed business units.

Automating individual, isolated processes will give immediate efficiency improvements. However, having more effective business processes that scale sustainably and transforms the organisation needs company-wide buy-in.

For enterprise companies the focal point for the most effective centralized automation strategies is a Centre of Excellence (CoE). The CoE leads robot deployment and scaling. In some organizations it is called the Robotic Operations Center (ROC).A CoE centralizes governance policies and prioritizes automation requests. All automation decisions and policies flow through the CoE. The CoE serves both as a filter and as a support system, to ensure automation is prioritised and aligned to strategy, and is coordinated across companies processes and users, and is done the right way and is complaint with security privacy and other policies.

A CoE is at the core of your people power. Power is the ability to make decisions – all employees can make better business decisions with the right tools and information. Which custoomer should I visit, first, which production order, which lorry should I unload first…….. and that depends on timely accurate complete and comprehensible information. and the time, and the tools to process it. So, a transformed organization needs both diffused and centralized leadership

As you scale RPA, more than ever before your organization will need the business and IT units to work together. The C-suite provides the strategy, the policies and the leadership role. By the time the organization reaches the transform phase of growth, the C-suite considers one of its main goals to be spreading and facilitating automation beyond centralized planning. They recognize the savings and productivity benefits, and more important the potential opportunities and morale boost when staff are freed form routine tasks to focus quality time on higher value add tasks.

If you need to reduce costs now, or to make processes more robust and secure, and to start your digital transformation journey then contact us to learn more.

Synergy Software Systems is an Enterprise Solutions integrator that has implemented over a 1000 projects with Governments, Fortune 500 groups and regional groups and has the depth and breadth of technical and business skills, and soltuions to support you adopt the new technologies to compete in this fast changing digital world.
call us: 009714 3365589

Azure Data Share in preview

August 29th, 2019

A brand new product by Microsoft called Azure Data Share was recently announced and is in public preview. It is a simple way to control, manage, and monitor all of your data sharing.

Data which resides in Azure storage can be securely shared between a data provider and a data consumer by copying a snapshot of the data to the consumer’s subscription (called snapshot-based copying, and in the future there will be in-place sharing). It supports ADLS Gen1, ADLS Gen2, and Blob storage, and eventually will support Azure Data Explorer, SQL DB, and SQL DW.

With a few clicks share data with another user that has access to an Azure Subscription and storage account. Dat is copied, and updated and is encrypted during transit. Specify the frequency at which the data consumers receive updates.
- With Azure Data Share, as a data provider, you provision a data share and invite recipients to the data share.
- Data consumers receive an invitation to your data share via e-mail. Once a data consumer accepts the invitation, they can trigger a full snapshot of the data shared you shared them.
- This data is received into the data consumers storage account. Data consumers can receive regular, incremental updates to the data shared with them so that they always have the latest version of the data.
- When a data consumer accepts a data share, they are able to receive the data in a storage account of their choosing. For example, if the data provider shares data using Azure Blob Storage, the data consumer can receive this data in Azure Data Lake Store.

Azure Data Share also provides a way for companies to monetize some of theirvaluable internal data. With all the work done to build a modern data warehouse, why not sell the data to partners and business customers? They will save a ton of time and money trying to create the same data. This needs to be considered in the context of privacy laws like GDPR.

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Gartner recognized SnapLogic as a Visionary in its Data Integration Magic Quadrant

August 7th, 2019

Gartner recognized SnapLogic as a Visionary in its Data Integration Magic Quadrant! This comes on the heels of being recognized as a Leader in three top analyst reports for the best integration platform as a service (iPaaS) solutions – the Gartner Magic Quadrant, Forrester Wave, and G2 Crowd Grid.
We believe these collective recognitions testify to the fact that SnapLogic is unrivaled when it comes to integrating cloud applications and on-premises data in one unified platform.

Gartner commended SnapLogic for:
• Our powerful integration convergence and augmented data integration delivery
• Our easy accessibility to diverse user personas
• Our pricing model simplicity and trial version

Synergy Software Systems is a Middle East partner. . This solution speeds up deployment of complex solutions with multiple jntegrations and significantly improves and simplifies the management and maintenance of integrations.

Whether for EDi to Odette standards for the automotive sector, or for streaming high volumes of data, or for ETL processes to bring data from multiple, enterprise systems into a data lake or Enterprise BI or Corporate performance management system, Snap Logic provides a multitude of pre built “Snap integrations: for a low code, configuration approach to integration.

Synergy Software Systems has provided integrated solutions in the region. Digital revolution is proving new opportunities and challenges. Robotic Processes Automation, Predictive analytics, ML AI, IoT, RFID, cloud services, data lakes, and mobility are now standard components of any solution. However digital revolution also requires agility and rapid robust deployment and ease of update and maintenance. Integration ETL, and streaming data from multiple systems at enterprise scale needs a new ‘productized’ low code approach to integration.

Snaplogic is a key tool for successful agile deployment of Enterprise integration, Corporate Performance management, EDI, BI and RPA solutions.

There are already major clients deploying Snap Logic in the UAE.

To learn more . Call us on 00971 43365589

Integration as a Service – ask Synergy Software Systems, Dubai about Snap Logic

July 2nd, 2019

Why do companies like Adobe, AstraZeneca, Box, GameStop, OSN, Verizon, and Wendy’s choose SnapLogic?

They have a problem that many other companies are facing today. On one side, business managers rely more and more on SaaS applications and big data for daily tasks yet IT is responsible for integrating the applications. These business managers need daily access to accurate information but can’t always wait for IT. On the other side, IT is managing multiple projects, including integration requests and is working with far fewer resources. Requests can take weeks or even months to complete and business leaders can’t wait that long, so end up making decisions based on less than perfect data.

The Snaplogic Enterprise Integration Cloud comes with Iris Artificial Intelligence built in. Take away he complexity of dealing with multiple applications, big data, complex APIs, and IoT and abstract it into drag and drop components, all in one platform. SnapLogic’s Iris AI further democratizes the use of data by empowering users from all departments and teams to make data-driven decisions quickly and easily with higher accuracy. Business manager can now do their own analysis with minimal support from IT and make informed, data-backed decisions quickly.

IT people can spend less time building routine integrations and more time helping the business grow. SnapLogic is already helping many businesses with these challenges. GameStop reduced the amount of time it took to build integrations by 83%. Business processes cut across functions and applications. Transform business processes faster and stay focused on managing your business with data-driven insights rather than spend time on writing and maintaining code.

General Electric’s (now Suez Water) employees are 4 times more productive when it came to onboarding partners through its multiple systems.

AstraZeneca has more than 500 users around the world who are performing self-service integrations.

Box has connected 40 applications and is processing more than 15M transactions daily with only 1.5 full-time developers needed to support this volume.

Corporate performance management or Big data analytics from multiple, disparate corporate erp and finance systems, hybrid cloud and on premise integration, migrating to the cloud or to new software versions, IoT, T@A, EAM systems, WMS systems, Payroll systems, there are many integration challenges.

To support your digital transformation call us on 0097143365589

Oman and VAT – Ask Synergy Software Systems to help prepare and update your systems

June 30th, 2019

Oman government representatives have said that the state is looking to implement a 5% VAT regime from 1 September 2019. In 2017,
it signed the Gulf Cooperation Council VAT Framework Agreement, which included: Saudi Arabia, Qatar, UAE, Bahrain and Kuwait. Local media reports in March 2019 quoted a senior official from Oman’s Ministry of Finance as saying that the date of implementation of VAT in Oman is under review. The official reportedly indicated that the target date had been 1 September 2019 but that this is not confirmed, although the intention clearly remains to implement VAT as early as possible. Businesses should take this as a cue to continue their VAT implementation plans in Oman, or restart and reinvigorate those if the work has been put on hold.

A key lesson from our experience of VAT implementation projects in UAE, KSA and Bahrain, across more than 100 companies is that companies that started their VAT planning and implementation projects early had a smoother transition to VAT, than those that waited for the final publication of the domestic law and regulations. A ‘wait and see’ approach backfired on many businesses in the UAE, KSA and Bahrain where there was minimal time between the release of the law and regulations and the go-live date for adequate training, data preparation and testing, and a shortage of resources in the market to cope with the backlog.

There are practical steps to take now. the first is to form an internal VAT working group of key stakeholders to monitor developments in VAT and ensure that VAT is on the Board agenda and is included in budget discussions. The working group will be best placed to negotiate professional services to support implementation, to train end users, and to define test scenarios, etc.

Next ensure there is VAT awareness is key – customers, vendors, and staff. Many in the region have never dealt with VAT, and a solid understanding of the mechanics, scope and terminology of the tax takes time, and that is a necessary foundation for the next steps.

Document your transaction flows . VAT is a transaction tax, with each transaction triggering a potential VAT consequence. This will help you to identify: software changes, processes to update, training needs, data collection needs, commercial document redesign, financial report redesign etc.

Review Contract to ensure they are ‘future proofed’ for the introduction of VAT. For example, to identify whether they include suitable clauses allowing VAT to be charged in addition to contractually agreed prices. The UAE VAT law clearly mandated that communication be sent to all customers within a specific timeline stipulating whether their contracts will be treated as exclusive of tax, failing which customers can dispute the tax being charged in the contract. Therefore, revisiting contractual obligations for both customers and vendors and determining cutover dates, incorporating tax clauses and revising prices and quotations will play a pivotal role to safeguard the business interests of all parties to a contract.

There will be transactions which are closed before the go-live date, and there will be instances where payment is received post the go-live date or where the supply is scheduled post the go-live date, but where the relevant invoices are paid prior to it. Failure to assess and communicate/agree on the VAT impact between all parties to the transaction on such spillover transactions might increase the cost of such transactions and either of the parties may be out of pocket in such scenarios, and there may be unwelcome friction with trading partners, if not managed.

IT infrastructure will be the ‘backbone’ of the VAT compliance function from issuing VAT compliant invoices to producing the VAT return.

Identify VAT resource requirements, particularly external consultants and auditors. Skilled VAT resources are drawn from a diminishing pool of individuals. Take advantage of the experience gained by service providers implementing in Dubai, KSA and Bahrain. There are many wrinkles, not immediately obvious.

Industry associations can raise common issues and concerns with the Ministry of Finance, particularly in advance of the formal publication of the VAT law.

While you can choose to defer VAT implementation be ready to demonstrate to your owners/investors/respective boards and shareholders, that you have done so only after undertaking an appropriate level of due diligence of the likely preparation of the VAT environment. Some key areas include:

Upgrades to ERP systems and user acceptance testing Reporting
Timely VAT registration, (company by company or at Group level?)
Timely Collection of Tax registration numbers for Trading partners
Timely returns, accrual and and payment of taxes
Scoping the need for professional service and selection/references, time for reaching agreement with partners.
Unforeseen penalties
Cash flow management – how will this change? the delayed inflow on account of receipts from customers; outflow after the discharge of tax liabilities on supplies without consideration/deemed supplies (if any); outflow on account of payment to vendors; and additional outflow due to the payment of taxes (net of input tax recoverable) to tax authorities.

Tracking changes in law/ public clarifications

Some businesses in the UAE and Saudi Arabia faced challenges when ERP systems were not implemented in time to capture VAT on transactions or to generate customised VAT payable or receivable reports. The first quarter of the respective VAT regimes required substantial manual effort to properly account for transactions.

Another hurdle was training staff on the upgraded ERP software as well as new reporting standards

In a test system for financial or erp system, for training and requirement scope you could get early familiarity with the Dubai or KSA framework – there are unlikely to be major changes in the Oman framework.

If you current system is largely manual, or has significant limitations then now be the time to plan for upgrade, or reimplementation or a new system. The UAE VAT law has a penalty provision whereby every incorrect invoice can trigger an AED 5,000 fine (approx. OMR 500), irrespective of the value of the invoice. Exposure to these fines can be significant in industries where high volumes of transactions are made per day, for example the retail, utilities and banking industries. Compliance depends on a robust system and operations preparedness. The audit trail of the process, and other documents, help to ensure correct and timely filing of the returns as well as avoiding any unwarranted penalties.

Businesses across the globe tend to see a fall in demand where the display prices on products do not include VAT, specifically in the case of products which are price sensitive. The implementation of a new indirect tax law will have an impact on turnover and consumer preferences. Some prices ma need to be rounded up or down. You may need to show VAT separately, item by item on a receipt or invoice – is your software able to do that?

Given that the potential VAT rate in Oman may vary between 5 per cent, exempted, non-taxable and zero-rated, businesses should ascertain the price impact of VAT on imports which are recoverable and non-recoverable, final product pricing and alternative sourcing if imports are expensive, and vice versa.

RPA certifications for Synergy Software Systems, Dubai

November 25th, 2018

I am pleased to announce that following extensive training over recent weeks two of our consultants have already achieved certifications.

If you have an ROA project in mind and need support for your project from a proven, local. UAE partner then please call Synergy Software Systems on 0097143365589

Microsoft Kaizala – secure mobile chat app for the U.A.E. mobile enterprise -ask Synergy Software Systems

November 21st, 2018

What is Microsoft Kaizala?
A disconnected value chain hinders productivity, slows down decision making, prevents the ability for insights to surface from the field, and creates potential for customer dissatisfaction. Today’s workplace extends well beyond organizational boundaries, and there is an increasing need to connect your entire business value chain, including your Firstline workers, vendors, partners, suppliers, and customers..

Today, consumer messaging apps are often used between people across the value chain, but this poses security, privacy and compliance risks to company data. Microsoft Kaizala aims to solve a lot of these challenges, especially in mobile-first, developing markets.

Microsoft Kaizala is a simple and secure mobile chat app for work, with easy sign-up using just a phone number.
It enables networks of people to connect and coordinate work across their roles, spanning Firstline workers, vendors, partners, suppliers, customers, and citizens. Many organizations are already doing amazing things with Kaizala.

Communicate across dynamic networks: Kaizala supports diverse group types such as: hub and spoke, hierarchies, and public groups – which model the
communication needs of your organization. Use it to connect with your customers and partners or your Firstline workers. Temporal and geo-fenced groups make the set-up and discovery of groups easy, and large group size of up to 1 million users enables scenarios such as government-to-citizen communication.

Digitize business processes to coordinate work and gather field insights: Across every business, there is valuable data that originates at the front lines and out in the field, from sales metrics, to customer experience and operational insights. The problem is that much of it is either still paper-based or not getting recorded at all. Kaizala makes it. Gather field insights in mobile-first, dynamic environments with built-in actions such as surveys, polls, jobs and more.

Integrations with Office 365 services such as Power BI and Microsoft Flow allow you to quickly build customizable business workflows that use Kaizala’s chat interface. Kaizala allows you to integrate with existing applications and systems so you can connect your business end-to-end and digitize manual, paper-based procedures.

The built-in reports on the management portal let you visualize and analyse the data – giving you real-time insights into your business and helping drive day to day efficiencies. You can also build custom cards to support your line of business tasks using Kaizala aggregation service.

Manage and secure your data: Kaizala is served from the hyperscale global network of Azure datacentres and data is encrypted at rest and in-transit. Advanced IT administration capabilities with the Kaizala management portal allow business owners to view reports, create and manage groups, define group policies etc. Kaizala supports key compliance standards such as ISO 27001, SOC2, HIPAA, GDPR and more.

How do I get access to Kaizala?
Customers that are currently licenses on Office 365 and Microsoft 365 Business products (Office 365 Business Essentials, Office 365 Business, Office 365 Business Premium and Microsoft 365 Business) in eligible 28 markets* will be able to utilize Microsoft Kaizala starting mid-November.

Kaizala is now turned on by default in these products, with the ability for tenant administrators to opt out. A more detailed on the communications timeline is found below:
• Communications sent to tenant administrators letting them know about the Kaizala backfill (end October)
• Message Center Admin comms (11/5)
• Blog post on the Kaizala Microsoft Tech Community, outlining the product value prop, availability with Office 365 and how to access the product
• Kaizala backfilled in SMB tenants (Mid-November)

What next?
Contact your UAE Microsoft 365 partner Synergy Software Systems 0097143365589
Download the Kaizala mobile app for free from Google Play Store or App Store

Digital transformation with Dynamics 365,

October 28th, 2018

Microsoft Dynamics 365 business applications enable you to accelerate digital transformation within your organizations.

Join Mike Ehrenberg, Technical Fellow, Microsoft, and Brenda Bown, General Manager, Business Applications Product Marketing, along with leaders from the engineering team, including Muhammad Alam, General Manager, Dynamics 365 for Finance and Operations and Laurel Reitman, General Manager, Dynamics 365 for Talent, to get an overview of the latest innovations coming to market in the October 2018 release of Dynamics 365.

This session showcases capabilities that enable you to drive deeper customer relationships, to optimize operations, to engage employees, and to use data and AI to adapt to the changing market and capture new opportunities.

To learn more, contact Synergy Software Systems based in Dubai since 1991, implementing Dynamics solutions for enterprise companies in the Middle East and Africa since 2003.
Synergy Software Systems
Working together
00971 4 3365589.

Dynamics 365 – Ai and mixed reality apps in October 2018 release

October 21st, 2018

AI and mixed reality business applications for Microsoft Dynamics

Dynamics 365 was introduced two years ago and breaks down the traditional silos of customer relationship management (CRM) and enterprise resource planning (ERP). Microsoft has reimagines business applications to be: modern, unified, intelligent and adaptable solutions that are integrated with Office 365 and natively built on Microsoft Azure. The azure platform has enabled the release of new AI and mixed reality applications, that will deliver out-of-the-box insights by unifying data and infusing it with advanced intelligence to guide decisions and empower organizations to make informed actions:

Dynamics 365 AI for Sales: Helps salespeople prioritize their time to focus on deals that matter most, offers a detailed analysis of the sales pipeline, and surfaces insights that enable smarter coaching of sales teams.

Dynamics 365 AI for Customer Service: Surfaces automated insights that help guide employees to take action and leverage virtual agents to help lower support costs all without writing any code.

Dynamics 365 AI for Market Insights: Helps empower marketing, social media and market research teams to make better decisions.

Machine elarning – Azure cognitive services

October 20th, 2018

Machine learning is used in many applications these days, in fact, you are using Machine learning on a daily basis through a smartwatch or smart devices.

Use Machine learning is to make applications to detect patterns in the input provided Create an algorithm to detect these patterns to end up with the machine learning model.

Azure Cognitive Services
• Ready-made machine learning models that your applications can consume using REST APIs
• Create a learning algorithm, or train the model. Most of this is taken care of by Microsoft.
• APIs are hosted in the Azure Cloud are easily accessible and scalable.
• Cognitive Services come under your Azure subscription, and are consumed on a pay per use basis.

Many available APIs to address business problems.
• Azure Cognitive Services helps to determine the patterns and develop algorithms and to train the use of the data.
• Azure Cognitive Services are REST APIs that expose a machine learning model to the outside world.
• Your application will consume the Cognitive Service API methods to get the desired output.

Train Data:
Use Machine learning to analyze the data for patterns and to develop algorithm that finds the patterns in training data, further analyzes it, and maps these attributes to the correct answers or output.

Learning Algorithm: Learning algorithms find the patterns in the training data from which it can create a training model.

Training Model: The model is an output of the training process. After the model is ‘trained’, it is exposed to the client applications which send the data to the model and to get the desired response /recognized pattern as the output. The entire training process is a black box to the user, and only the ‘trained model’ is exposed to outside applications.

It’s not feasible to explicitly program all scenario and possibilities. Arthur Samuel, one of the pioneers of ML said “Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed.”.

Windows 10 and the ‘edge’

October 13th, 2018

Microsoft recently announced in ablog post. “Windows 10 IoT delivers innovation and intelligence at the edge with the October 2018 Update” The Windows 10 October 2018 update will deliver ‘edge’ intelligence with machine learning, industrial strength security, new silicon options, and additional monetization models for distributors and sellers for enterprise Internet of Things (IoT) projects.

The edge” is a theoretical space where a data center resource may be accessed in the minimum amount of time. The edge, in simple terms, is where you generate, collect, and analyze data i.e. where the data is generate. Edge computing technology is applied to smartphones, tablets, sensor-generated input, robotics, automated machines on manufacturing floors, and distributed analytics servers that are used for “on the spot” computing and analytics.

Traditional datacenter architecture is all about central computing powerhouses, from where information is sent and received across globally spread networks. Here, the larger the distance between the endpoint and the datacenter, the higher the response time. In many applications, this incrementally larger time gap is inconsequential. However, in many others, it’s critical. For example:
• when the computation required for rendering the content is carried out close enough to AR and VR devices.
• Autonomous vehicles require near real-time feedback from external networks to make course corrections and avoid collisions
• In IoT, many analytical actions need to be carried out closed to the devices that generate the source data.
• HD video content, if cached closer to large concentrations of people who’re likely to access it, means that providers can avoid large costs of transmission over networks provisioned by third-party carriers.
• Critical infrastructures such as oil and gas facilities require the highest levels of precautions to avoid system failures that could escalate into catastrophes. Edge computing allows for data from temperature and humidity sensors, IP camera, pressure and moisture sensors, and handheld devices. The data is analyzed, processed, and then sent back to users in near real-time, helping them prevent malfunctions.

Edge computing is all about achieving geographical distribution so that computing power can be taken closer to the endpoints that need it most. So, instead of only relying on a dozen giant datacenters, edge computing provides for the cloud to come closer to places/people/devices where there’s a business case for reducing response times even by a few hundred microseconds.

Critical security and safety systems always need to function on premises. You need these systems to operate or fail in a safe state regardless of what happens to the cloud or the connection. The simplest on-premises approach is a big red shut-off button on each machine. Azure IoT Edge enables a more complex safety system.
Example: You monitor the temperature across a range of machines and if the combined temperature gets too high you need to shut down all machines to prevent damage or risk to human operators. A safety system at the level of the individual machine is not enough, because it can’t track combined temperature across multiple machines. Your safety system needs to be one level higher to monitor and control multiple machines, and you can do this with Azure IoT Edge.

• By 2020, it’s expected that there will be more than 5,600 million smart sensors and connected IoT devices across the globe.
• The data generated by these devices will be to the tune of 5,000+ zettabytes.
• The IoT market size is expected to reach $724 billion by the end of 2023.

Most of this data will be generated at enterprise endpoints located on the “edge” — such as sensors, machines, smartphones, wearable devices, etc. We can consider these to be located on the “edge” because they’re far away from the central datacenter of the organization.

This massive data can’t simply be relayed to the central server because it will overwhelm the entire network. Enterprises will implement edge computing so that massive data doesn’t have to be transported to corporate datacenters. Instead, advanced operational analytics will happen at the remote facilities, to enable site managers and individuals to act in real time on the available information.

Microsoft Windows 10 customers can now commercialize devices with new servicing options:
• A Semi-Annual Servicing Channel, offers two feature update releases per year,
• A Long-Term Servicing Channel, provides security and quality updates without any new features over a 10-year period. The long-term model is ideal for commercial IoT devices, including point-of-sale systems, ATMs, and industrial equipment controllers, which all require strong security and fewer feature updates.

A new cloud service subscription, called Windows 10 IoT Core Services, offers companies the services to commercialize a device on Windows 10 IoT Core, including both long-term OS support, and services to manage device updates and assess device health. This will help device manufacturers to lower support costs, and will help distributors create better business models to create customer value.

Microsoft has added the ability to do more work at the edge, including: machine learning, event processing, and image recognition, “Seamless integration with Azure IoT Edge brings cloud intelligence and analytics securely to Windows 10 IoT devices at scale,”

Windows Machine Learning allows developers to use pre-trained machine learning models in their applications, which can be evaluated and adjusted as needed at the edge.

Microsoft also added support for NXP i.MX 6, 7 and 8M series processors to Windows 10 IoT Core.

Windows 10 IoT also includes turnkey support for both Azure IoT Device Management and Microsoft Intune to provide more scalable device management for enterprise IoT deployments.

https://azure.microsoft.com/en-us/blog/microsoft-azure-enables-a-new-wave-of-edge-computing-here-s-how/

https://docs.microsoft.com/en-us/azure/iot-edge/about-iot-edge

https://www.zdnet.com/article/where-the-edge-is-in-edge-computing-why-it-matters-and-how-we-use-it/

The acatech Industrie 4.0 Maturity Index is a six-stage maturity model that analyses the capabilities in the areas of resources, information systems, culture and organisational structure that are required by companies operating in a digitalised industrial environment.

https://www.acatech.de/Publikation/industrie-4-0-maturity-index-managing-the-digital-transformation-of-companies/

AI why will it make any difference?

October 1st, 2018

For all the talk around the rise of AI, or Artificial Intelligence, the technology isn’t new. We use AI in our daily lives.

Predictive text is the most visible example.Google searches, Word spellcheck are examples. You frequently text a friend to meet at the mall. You type: “Meet me at the …” Your phone suggests “park” or another common place to meet. Over time, your phone learns, and the suggestions start to prioritize “mall” over other words.

A basic case is that AI:
• takes data,
• analyzes it,
• implements a solution (suggesting the next word),
• evaluates the results (recognizing that you almost always type “bar” with that friend),
• and then repeats the process with improved recommendations based on data.
• Over time, the system grows smarter.

Typically ‘triggers’ to execute a ‘script’ were ways to automate processes. A log fiel is mintored and akey word triggers a support ticket, or runs a script.Over time thje system learns and can predict and run checks before the error happens.
Other examples of AI in everyday life include pricing on ridesharing apps, facial recognition in social media and even non-player characters in video games.

Until recently, the technology was available to a few companies with deep pockets. To take advantage of AI, you had to have a big data center, specialized software and data scientists in house. We’ve reached a tipping point. With cloud-based technology, companies of all sizes can more easily plug into AI-infused applications at a much lower entry cost.
AI is the next big disrupter in many industries.

Let’s look at the wholesale trading industry. Here are two ways you can leverage AI to benefit a business:
Optimize where a team spends their time.
- Imagine the ability to direct your Accounts Receivable team to the late-paying customers that are most likely to respond.
– AI can help distributors differentiate between those who aren’t going to pay and need to be turned over to collections, and those who are more likely to pay with just one phone call.
- AI could also direct a call centre team to focus on certain times of day to increase the likelihood someone picks up the phone. Given the importance of cashflow to distributors, this is a powerful application of the technology.
- The same idea goes for a sales team. With which customers should they be spending more time? AI can identify the data points that influence purchasing, such as whether a prospect downloaded a whitepaper, they have an account exec assigned to them, or they have previously purchased related products.

It could even be something you can’t control, like the weather forecast. If it’s going to be 110 degrees, you can expect an uptick in sales of air conditioning units or parts to fix them in certain geographies. AI can identify these opportunities for salespeople. AI then adjusts those recommendations based on how customers respond, and the cycle continues.

Grow sales and margin with existing customers.
When a customer is checking out on a website, via your call center, at the counter or through another channel, how can you engage them more? Enter AI. For example, let’s say that data show that electrical contractor customers of a particular size regularly buy red, green, white and black 10-gauge copper wire at the same time. So when an electrical contractor of that size selects just red, green and white, a salesperson should be prompted to ask: “Are you forgetting black?” Chances are, the customer will add black wire to the basket.

To identify those relationships, however, and to code them into your system is a lot of work. We can do much of this already with BI analysis and on screen prompts.Add to that the evaluation of whether the offers were effective – how often they were accepted, how often they weren’t (and why) – and adjusting for that on the next sale, or updating sales scripts and offers. It becomes increasingly difficult if not impossible to do that manually across thousands of products.
AI can do this far more quickly and effectively than a human can, and can have a big impact on the top line. A foodservice distributor grew sales volume by 5% nearly overnight after turning on an AI-powered cross-sell and upsell recommendation engine on their website.

This is not just about selling online. Sure Distributors use cross-sell/upsell technology to grow share across their channels. However, they can also provide more meaningful, targeted content to make the customer’s selection process smoother and better informed, to draw his attention to designs or offers that are likely to be of interest, and so on. The ROI can be huge, and it requires very little upfront work by humans.

Pricing software is a more mature application of AI-based technology, determining the optimal price for a particular item based on lost sales, historical sales volume, competitor pricing, and potential for up sell or cross sell or repeat sell. and other data points. Hotels and airlines use revenue yield management. If it’s a business trip they may feel you will spend more in their restaurant on an expense account. I may only book when rates are cheap but I might always eat in house use, pay tv, and order wine with my meal and be a more profitable customer. If my rooms for tonight or my airline seats are less than 50% sold then I might discount heavily to ensure I sell enough to cover costs, but once past 80% I may charge a premium price because you may be desperate with little choice and a few high value sales will make up for the one or two I lose.

If a product has excess stock and is nearing the end of its shelf life, or a cinema is going to be half empty then AI can auto trigger instant sms sales promotions or happy hours but can it learn and predict and better tune the films shown in a given cinema, and whether average clothes sizes are trending bigger, or whether some colours and sizes will sell better in one branch than another and how that correlates with other data, How much is spent on marketing, what other sales are happening nearby, are temperatures going to rise, what si te epxcted change on the exchange rate or inflation rate or oil price and will that affect the number of tourist, and will revised parking fees affect who shows where and when?

is this a Big Brother nightmare, or does it mean that we are going to get better service because what we need to buy is going to be in stock even before we realise we need it.

As new younger generation z employees are hired into purchasing roles, they expect the kind of customer experience that AI-powered technology can deliver. This technology is here now. It’s not just a technical decision. There are real business benefits to using AI, including growing average order size, boosting margins and tightening customer relationships.

Filehold latest features

September 30th, 2018

There was a new elease of FileHold- version 16, in August 2108. For a FileCare customer on support the cost of upgrading the server is automatically included with your FileCare agreement.

The new release fetures both new features and enhancements which willowe rthe cost of owenrship. A key feature is improved viewing technology which adds inot the web client the popular page manipulation features previously only available in the desktop client. Move around pages in a document, move pages from document to document, or remove pages altogether.

The g viewer functionality also has enhanced DOCX rendering fidelity for the level 1 version and best rendering for the level 2 viewer.

A long list of image formats and some more document formats are added to the level 1 viewer with several more document formats added to the level 2 viewer.

Users licensed for the level 2 viewer also get a bonus “Assemble” feature for the user to merge multiple files of different types into a single PDF.

It enables the special field tags introduced with the workflow ‘convert to PDF’ feature to be used for any of the documents or template documents that will be added either to the beginning. or the end. A wider range of document formats are available for conversion and tag replacement than in convert to PDF. Fill your documents with metadata and workflow signoff sheets.

A document search feature that was previously only available a third-party viewer is added. Automatically search inside the document based on a simple search in the document library or type your own search term. A column of matches automatically appears for the user to quickly jump to many places in the document.

The self-service (anonymous, formerly “guest”) portal is matches the way users are configured in the system to give one simple dialog to configure a portal. This simplified the user interface for the self-service portal users removes several elements that do not apply to them.

A new style report and management page for user management.User mass edits also got a big makeover.

Administrators now have lots of options to configure the columns and filters they use and to save different configurations for easy reuse.

Workflow:

Integration with Adobe Sign has been available for a while as an add-on. Now that Adobe Sign is a part of workflow the integration also includes Adobe’s latest OAuth authentication and REST API. Any main documents you add to a workflow can be sent to be signed by the Adobe technology and when the signing is complete the documents are automatically returned as new versions to FileHold.

The workflow status report, signoff sheet, and the document usage log all reflect the Adobe signature and provide convenient links to all the details that Adobe stores about the signature. All you need is an Adobe account and a license for the optional Adobe workflow activity feature.

Starting with 16.0 Filhold has converted all applications and there is now a single application pool to manage and support for TLS 1.2 that does not require any special setup for Windows Server 2012R2 or later. It willsimplify life for IT managers getting excited ahrden the secuirty of the FileHold server.

Multi-factor authentication is now integrated into the product as an optional feature, with www.duo.com as the authentication provider.Filhold has implemented multi-factor authentication in such a way that existing applications should work unchanged until you decide to enable multi-factor.

There are many minor improvements to FileHold like: a result count for folder views just like we have always done for searches, unlimited upload and download sizes for the desktop client, removing the requirement to save Office documents before adding to FileHold, and adding comments to Courier notifications and many more.

Schema lookups and unlimited database dropdown menu fields were added to version 14, and are now configured in nearly every new system we deliver and used in many new ways. Use cases from the field have inspired big enhancements which increase the flexibility of these features. For schema lookups we can now use the custom query method to use up to five metadata fields as runtime parameters instead of just one. This opens up a lot of possibilities for creative SQL to enhance the ability for users to get the correct metadata onto a document with minimum effort.

Dropdown menu fields are great – until you have 100,000 id values to choose from. Then they are a challenge. Filehold has enabled “search” fields for the dropdown. Configure up to five additional fields to be used for user selection and provide end users with a little popup and a new style list interface to filter and to group the configured options to easily choose the exact value, or many values to be selected.

for moe information contact us 0097143365589