Author: cyber-security-blog

Resilient structures and Intelligent data management are key to remaining successful in these uncertain times of rising energy costs, raw material shortages, hard-to-calculate production capacity situations, fragile supply chains, the Ukraine war and the enormous shortage of skilled workers.

Intelligent data management includes a central data strategy, digitized processes, future-proof IT platforms, intelligent analysis tools (BI), and appropriate KPIs.

While badly needed digital individual projects were implemented during the Corona pandemic, many companies still lack an end-to-end digital business model. Intelligent data management that forms the basis for data-driven decisions is lacking. In addition, companies would be prudent, especially now, to continue driving digital transformation throughout their operations, automate processes and introduce missing tools.

We are heading towards a data-driven future with gigantic data volumes. According to IDC, the amount of real-time data will grow to about 30% by 2025, and more than half is currently not used further. Why? The reasons are complex: multiple data silos and autarkic applications, legacy systems, and manual processes at headquarters and branch offices. Addressing these issues is key to a proper data strategy.

Legacy Silos

Many legacy systems have been running for many years, such as ERP, MES, PLC, MED, QM, MM, PLM, SCM and CRM. They have grown over time without being aligned and synchronized. Deployed independently in individual business units or departments, they act largely independently of each other, pursue different goals, and form the basis of the well-known data silos.

More data silos due to individual digital projects

The projects prompted by Corona increased the level of digitization in numerous companies. Often, however, these were localized digitalization activities, where only certain core processes in a business unit were automated and digitalized. Due to the lack of an overall digital strategy, the flow of newly acquired data was frequently not thought out, and integrations were absent, unstructured or incomplete. This resulted in additional silos from business data in enterprise resource planning and customer information systems, to data from connected machines, devices and sensors from the production floor.

Legacy systems, new applications, and beyond the organization

Current digitalization involves the use of disruptive technologies and concepts. But, while increasing digitalization is essential, revolutions are normally not the optimal approach. Integrating legacy systems and new applications and improving business processes provides an assured path to full digitalization – with incremental improvements forming the basis of the strategy.

The goal must be to breakdown data silos and make data from all sources accessible, structured and evaluated. Implementation of this goal can be extended by connecting to suppliers and sales partners enabling a complete data flow and additional data transparency.

Big Data Value

Today, it is more important than ever for operations and manufacturing management to make fundamental decisions based on broad and reliable data and analysis. It’s not enough to collect and process data from a single business unit such as IoT machines and production equipment. It is necessary to draw on additional data from existing business applications in all business areas, such as warehouses and purchasing. 

Central digitization and integration platform

Many digitalization solutions are focused on capturing data from a subset of the company’s IT systems – operations, production systems, logistics or financial systems. However, truly meaningful digital migration connects all aspects of the business. This is made possible with modern Industry 4.0 solutions. They enable companies to collect, process and analyze all data quickly and completely. No matter where they are located within the organization or the supply chain.

Data hub and BI as a basis

Some of these Industry 4.0 solutions already include a data lake and analysis tools (BI). They form a sound basis for intelligent data management across application and organizational boundaries. Information such as customer master data can be linked with market and competitive data. Machine and production floor data can be linked to quality and after-sales service data and retrieved in real time.

Sound data evaluations, such as financial reports, can be presented clearly in visual dashboards and accessed at any time, and from any location. Decision makers can analyze relevant and clearly defined KPIs and improve OEE.

In addition, essential workflows are optimized and automated. Expenditure and time spent on tasks can be reduced and more effective inventory management and forward planning can be achieved, and machine repairs are simplified.

Key points to bear in mind about intelligent data management:

• Future-oriented data management includes a suitable organizational structure, tailored operating models for Big Data and Data Analytics, and Industry 4.0 solutions.
• An efficient data strategy is in place when business-relevant data from all sources can be collected, processed, analyzed easily, and shared efficiently in one platform.
• Flexible digitalization and integration platforms support data-driven decision-making. 
• With access to accurate real-time data and insights across the supply chain, managers can make the right decisions in a timely manner.

About FactoryEye

FactoryEye is an advanced Industry 4.0 manufacturing & cross-organizational intelligence platform for full visibility and actionable data insights. FactoryEye enables manufacturing personnel at all levels to make data-based decisions and the manufacturing organization as a whole to achieve business excellence. Contact us to see how we can help you drive operational and business excellence.

About Magic Software Enterprise:

Magic Software Enterprises (NASDAQ: MGIC) empowers customers and partners around the globe with smarter technology that provides a multi-channel user experience of enterprise logic and data. We draw on 30 years of experience, millions of installations worldwide, and strategic alliances with global IT leaders, including IBM, Microsoft, Oracle, Salesforce.com, and SAP, to enable our customers to seamlessly adopt new technologies and maximize business opportunities. For more information about our company, technology, products, and services.

Digital Transformation is rapidly changing the way businesses and organizations operate in the Philippines. With the increasing adoption of digital technologies, companies are finding new and innovative ways to improve their operations, engage with customers, and drive growth.

One of the key drivers of Digital Transformation in Philippines is the rapid growth of the country’s digital economy. The Philippines has one of the highest rates of internet and mobile penetration in Southeast Asia, and this has created new opportunities for businesses to connect with customers and expand their operations. The government has also been supportive of the development of the digital economy, with initiatives such as the creation of the Department of Information and Communications Technology (DICT) to promote the growth of the digital sector.

Another factor driving digital transformation in the Philippines is the increasing availability of digital skills and talent. The country has a large and growing pool of digital talent, with many young professionals who are skilled in areas such as software development, data analytics, and digital marketing. This talent is helping to drive the growth of the digital economy and is enabling companies to take advantage of the opportunities presented by digital transformation.

The benefits of digital transformation are being felt across the Philippine economy. Companies in sectors such as financial services, retail, and healthcare are using digital technologies to improve their operations and deliver better customer experiences. For example, banks are using mobile and online platforms to provide customers with faster and more convenient access to financial services, while retailers are using data analytics to improve their inventory management and supply chain operations.

Overall, the Philippines is well-positioned to capitalize on the opportunities presented by digital transformation. With its strong digital economy, skilled workforce, and supportive government policies, the country is poised to continue driving innovation and growth in the digital era.

Introduction

The Middle East is one of the fastest-growing regions in the world. With a population of more than 350 million, it has been identified as an emerging market with high potential. The region is also experiencing rapid economic growth and rising living standards. It’s no surprise that this region is expected to be home to some of the world’s most advanced healthcare systems in the near future.

The way healthcare is delivered in the Middle East will change dramatically over the next few decades, largely due to advancements in Data Analytics and Artificial Intelligence (AI).

AI and big data analytics empower healthcare providers in the Middle East to make faster, more cost-effective diagnoses. However, s Security worries concerning data privacy are growing in tandem with the increased usage of AI and big data.

This article examines how big data analytics and artificial intelligence (AI) are altering healthcare in this region and the implications for patients and healthcare professionals.

Making a Decision

Improving treatment necessitates the integration of big health data with fast and appropriate decisions. Clinical decision-making and actions can be aided by predictive analytics.

Pattern recognition is another area where AI is gaining traction in healthcare to determine who is at risk for developing a condition or whose condition may worsen due to lifestyle, environmental, genetic, or other factors.

Treatment

With Artificial Intelligence, clinicians can take a more holistic approach to disease management, better coordinate care plans, and help patients better manage and adhere to long-term treatment programmes. They can also scan health records to identify people with chronic illnesses at risk.

Training

In a manner that simple computer-driven algorithms cannot, AI allows those in training to go through naturalistic simulations. Because of the emergence of natural speech and the ability of an AI machine to draw instantaneously from an extensive database of scenarios, a trainee’s answer to questions, decisions, or suggestions can be challenging in ways that a human cannot. Furthermore, the training programme can learn from the trainee’s initial responses, allowing the challenges to be regularly changed to fit their learning needs.

Genomics

AI has the potential to alter our perceptions of genetics and push the boundaries of genomics study. According to new research, an artificial neural network can recognise and detect patterns in enormous volumes of genetic data, showing groupings and sequences of genes linked to specific diseases.

The complexity of genetic data has made progress in genomics difficult. Practitioners currently expect breakthroughs in genomic research thanks to AI’s ability to categorise and analyse a large amount of data quickly.

Conclusion

Even though life expectancy is higher than ever, there is a severe shortage of healthcare workers to meet the demand. There is also apprehension regarding expense management and control. Healthcare professionals should seek new technology in order to reduce costs and support human carers. Healthcare workers must take advantage of AI and Big Data technology to be ready for challenges.

The Digital Transformation revolution is sweeping the African continent, with many firms adopting cutting-edge digital technology in the hopes of scaling new heights. On the other hand, these businesses confront the problem of overcoming the adoption hurdles to digital technologies.

One of the bright spots for Africa’s progress in the last fifteen years has been the growth of digital technology, which has been fuelled mainly by the mobile revolution and related advancements. The financial industry is likewise witnessing significant changes. Payments, loans, insurance, and wealth management are all being reshaped by digital technologies, a process that the COVID-19 pandemic has expedited.

The state of Digital Transformation in Africa’s banking industry

For African banks, digital banking transformation is no longer a preferable choice; it has become a necessity if they are to survive. There are far too many non-banking sector players in the market who fully utilize the technology available to continue doing business as usual.

Most companies have acknowledged the revolution and are adjusting how customers access their services, while others automate their back-office activities. Such reforms should save expenses and increase the number of people who have access to banking services, which will benefit everyone.

All African financial institutions clearly recognize the relevance of digital banking in their expansion plan. They confront increased disruption from emerging technologies and are under pressure to adapt and innovate to meet the changing demands of modern consumers. Despite the fact that many financial institutions have made considerable investments in providing a superior digital experience, the digital banking environment remains untapped. They need to reimagine the idea of “digital banking” now more than ever, with the use of data, analytics, technology, innovation, and human resources to revolutionize the customer experience.

Africa’s need for digital transformation

According to international experts McKinsey, the number of Africans having bank accounts would rise from over 300 million in 2017 to 450 million by 2022, with revenues jumping from $86 million to $129 million during that time.

The growing adoption of digital services is anticipated to be the driving force behind this. Most African banks now provide their customers with online banking and mobile banking apps that allow them to check their balances, transfer money, and pay bills. Mobile wallets and digital financing are also growing increasingly popular.

In order to meet customer demand and scale their business, the banking sector must discover strategies to drive digital transformation in their companies. The African banking sector will gain from digital transformation because it creates more job opportunities, improves firm performance, and ultimately boosts the organization’s bottom line.

Conclusion

Africa’s banks must put digital transformation at the center of their operations. Many companies have already begun to do so. Banks must embrace a digital-first mindset to stay relevant, service their customers, and reach underserved and unbanked distant African communities. Only 12% of African banks consider themselves to be digital-first banks at the moment, but another 48% say they are on their way to becoming one.