The pandemic has forced many schools and training organizations to conduct their activities online, including evaluations. This has created a need for remote testing invigilation and the technology that can facilitate it.

What would a standard invigilation system look like? In this paper, you’ll learn about the tools that need to be developed (including a list of high-level product features), the benefits and types of remote invigilation, and the use cases for this system.

As technology develops rapidly, security and privacy challenges arise as well. A secure infrastructure involves many hardware components, and each piece processes or transmits sensitive data. As many enterprises adopt IoT concepts and edge computing, information security is a top concern for ensuring confidence and integrity.

How can businesses provide infrastructure security for edge devices? Learn about reader-enabled access infrastructure, methods to improve hardware security, the infrastructure of edge computing, and some proposed solutions for edge device security, along with their challenges.

Time series technologies and tools are driving innovative new applications for statistical analysis, and many of these are open source. Keeping up with the tech stack required to analyze massive amounts of time series data at scale has become imperative, whether that means engineering a new purpose-built database or upgrading an older one to suit.

In this paper, explore the building blocks of time series analysis, various characteristics of different types of time series, challenges in storing time series data, and different methods of visualization. Learn how analysts are applying time series data analysis to everything from predicting server outages to forecasting growth in GDP for a budding economy.

The insurance sector is facing increased claims, disruption from InsurTech companies, and changing client needs. Customers are coming to expect a superior experience in their dealings with insurance companies. When customers get frustrated by delays, they quickly change their policies.

Which technologies can insurance companies employ to boost customer retention? Learn the difference between Narrow and General AI, the challenges faced by the insurance industry, and how AI-based deep machine learning can provide solutions. In this whitepaper, you’ll also discover use cases for vehicle damage inspection, drone roof assessments, and acquiring new clients using chatbots.

Data is essential for any organization, but it’s challenging to protect it from unauthorized access, misuse, theft, and other outside threats that are increasing daily. Data loss prevention (DLP) is an approach that helps protect sensitive information and restricts end users from moving it outside a company’s internal network.

Why should data loss prevention matter to your organization? Learn how DLP protects against theft, accidental disclosure, loss, and misuse of sensitive information. You’ll also find the leading DLP software, as ranked by Gartner.

Production & Manufacturing: A Technology-Driven Industry

What branch of industry sets trends and is most likely to embrace new technologies? Not many people would respond to this question by suggesting production and manufacturing. Yet it is this sector that continues to forge closer relationships with the IT industry and invest in research and development.

The industry’s digital innovations under the watchful eye of IT companies

For many sectors, the year 2020 brought the greatest challenges in years. At the same time, it highlighted the importance of digital transformation and the use of new technologies in business. This has benefited the IT industry, which has provided much-needed support for many sectors during this complex time by offering the knowledge and solutions they sought.

In today’s reality, progress is necessary and inevitable. Only organizations that evolve with the times are able to strengthen their position in the market, fight for the attention of increasingly demanding customers or maintain the current level of competitiveness. This can be seen in factories, which have changed beyond recognition over the course of several decades. In the 21st century, they are automated, use data efficiently, and deploy digital twins, artificial intelligence and IoT solutions on a large scale. They often set trends for the whole world, showing, for example, how to skillfully build foundations for cooperation between robots and employed specialists.

“Where technologies emerge, enterprises quickly reap significant benefits. Productivity and safety increase, and at the same time costs are reduced,” comments Marek Matysiak, Head of Division – Engineering at GlobalLogic Poland. “Industry automation software unlocks the business potential of companies that can also successfully tackle the most common industry challenges, such as costly downtime and unexpected breakdowns,” he adds.

This corresponds with the needs of customers and business partners who are pushing for change. However, one cannot forget the requirements of contemporary civilization. The idea of sustainable development plays an important role in the strategy of every organization and is part of the general trend of reducing the carbon footprint, caring for the natural environment and using resources more consciously.

The digital world of industry

March 2021 saw industrial production in Poland reach its highest level in history, according to data from Statistics Poland. Its development would not have been possible without effectively implemented technologies. In fact, 30% of companies that took part in the study Smart Industry Poland 2020 see digital technological solutions as an essential ingredient in the company’s success over the next three years. It is worth noting, however, that the remaining, more frequently mentioned elements are also closely related to the IT sector and the modernization of organizations through technology. Without them, reducing costs, improving process efficiency or product quality may not be possible or may become much more difficult to achieve.

Building such awareness among decision-makers in industrial companies and — in the long run, directly supporting these companies in implementing changes and carrying out digital transformation — is the responsibility of their partners from the IT sector. We’ve learned this first-hand as the largest provider of IT solutions and services for the industrial, construction and manufacturing sectors in 2020, according to the “Computerworld TOP200” report.

“Close partnership between IT companies, which have the required competencies and knowledge, and industrial enterprises translates into dynamic development of the entire sector, one which is often the first to implement new technological solutions. It is futile to look for other areas where robotics and automation are equally advanced, and the concept of combining the real and digital worlds becoming so real. We see it every day while carrying out projects for customers of various sizes,” says Marcin Zając, Director – Engineering at GlobalLogic Poland — took first place in the ranking for the third time in a row.

The noticeable benefits resulting from the implementation of new technologies affect the growth of industry 4.0. The pace of change increases every year and with it the ties between industry and IT.

Research and development in industry

According to Eurostat, Poland is one of the countries with the highest growth rate in research and development spending in recent years. This includes investments influencing the evolution of industry, which thanks to digital transformation can better respond to the needs of their business partners and customers in the 21st century, and at the same time operate in a more ecological and resource-efficient way. The future of industry is invariably speed and efficiency, but also greater employee safety and care for the environment.

“Finding the golden mean is only possible thanks to new technologies, such as digital twin, smart sensors or intelligent robots, as well as progressive digital transformation,” concludes Marek Matysiak, Head of Division – Engineering at GlobalLogic Poland.

Robotics is one of the fastest-growing technologies and is evolving continuously to meet human needs. With such a rapid pace of development, many security issues arise. The future of robotics will be determined in large part by how secure robotic platforms are.

How can developers keep robotic platforms safe from security threats? Learn about robot types and generations, robotic platforms, the common security problems in robotics platforms, types of attacks on robots, and cyber-attack mitigation strategies.

Edge computing aims to take computation execution resources out of traditional data centers and bring them as close as possible to the location where they are needed. Hand-held devices, appliances, or physical units, typically within or at the boundary (edge) of access networks are providing low latency, high bandwidth, and more secure computing and storage.

How can businesses in the telecom, automotive, manufacturing, and IoT industries protect themselves from cyber risks if they employ edge computing? Learn about edge computing in detail, its meaning to different sectors, and security threats such as DDoS, side-channel, malware injection, and authentication and authorization attacks. Each threat description includes possible defense mechanism solutions.

Data in the insurance industry is increasing exponentially, with a 90% increase in the last two years. This big data cannot be managed efficiently using old technologies but requires next-generation solutions.

How can the insurance industry work with big data to price policies, settle claims, analyze customer behavior, detect fraud, and map threats? Learn about big data’s 3 V’s, big data analysis and its benefits, and how to work with unstructured data. Then, examine some big data use cases in the insurance sector.

As cybersecurity challenges grow in complexity and scope, companies cannot rely solely on manual effort anymore. While security operation teams have long used Security Incident and Event Management (SIEM) tools to identify and process threats, they are not proactive enough to deal with today’s security issues.

How can businesses use Security Orchestration, Automation, and Response (SOAR) platforms to empower their security analysts for a new era? Learn about the SIEM process, then see how we can define SOAR, explore its four engines, and discover some of its use cases for malware containment, phishing emails, and alert enrichment.