What this means is that a digital twin is a vital tool to help engineers understand not only how products are performing, but how they will perform in the future. Analysis of the data from the connected sensors, combined with other sources of information, allows us to make such predictions. With this information, organizations can learn faster and break down old boundaries surrounding product innovation, complex life-cycles, and value creation. Digital twins offer manufacturers and businesses an unprecedented view into how their products are performing. A digital twin can help identify potential faults, troubleshoot from afar, and ultimately, improve customer satisfaction. It also helps with product differentiation, product quality, and add-on services. One of the major advantages is that digital twins afford engineers a detailed, intricate view of a physical asset that might be far away. With the twin, there is no need for the engineer and the asset to be in the same room, or even the same country. The concept of a digital twin has been around for more than a decade. However, it is the advancement in technology in recent years cloud computing, analytics, and increased computing power plus greater clarity on the use cases that has accelerated the adoption of digital twins in the industry. From unprecedented real-time insights of their operations, to elevating their operational excellence to the next level, it is no wonder oil and gas companies are starting to realize the benefits that digital twins enable. To set the picture, a 0.1% increase in production due to improved process and operating efficiency can easily yield several millions of dollars in additional revenue.

Robo-advice platforms have emerged from a combination of regulatory, market and technological trends. These trends have created an opportunity for low-cost technology-driven business models offering investment advisory services to enter the market. Robo-advice platforms are rapidly emerging as an alternative to traditional financial advice and are increasingly available for investing pension assets. These platforms automate much of the investment process, suggesting particular investments based on information provided by the consumer. This research aims to provide an overview of the robo-advisory platforms and to discuss their potential benefits, risks and challenges.

Throughout history, technology advancements in the upstream oil and gas business have opened up new frontiers, enabled safer operations, enhanced oil and gas recovery from existing fields and increased energy efficiency. In the downstream industry (e.g., refining and marketing), technology has improved and upgraded the capacity of the oil barrel and has met the increasing demands of environmental legislation.Today\'s oil and gas production manager faces a myriad of challenges in ensuring that wells are consistently producing at their highest possible potential. The advent of shale and its high-volume drilling process means that onshore production engineers are managing many more producing wells than they have in years past. This requires production engineers to optimize more wells with the same (or fewer) resources at their disposal.Founded in 2015, Arundo\'s proprietary software for asset-intensive industries enables "edge"-state streaming and analytics, rapid cloud deployment of machine learning models, and enterprise-scale models management.

Over the past few years, the banking industry has evolved by leaps and bounds. Aggressive competition and regulatory pressures have always challenged banks. New key players from FinTechs and non-financial services firms, the explosion of new technologies, as well as the soaring customer expectations, have spurred unprecedented industry changes and compelled banks to develop winning strategies.Techniques such as data analytics, machine learning and artificial intelligence (AI) can drive significant improvements. These techniques boost customer convenience to the next level with seamless banking services that minimize friction in the customer journey. To stay competitive, banks need to remain cognizant of developments within and outside the banking industry. In this context, this report aims to analyze the trends and challenges in retail banking, taking into consideration the most important factors that may have a significant impact on the long-term growth of banks.

LUKOIL is one of the worlds largest publicly traded, vertically integrated oil and gas companies in terms of total proved reserves and hydrocarbon production. LUKOIL employs over 100,000 people in Russia, Europe, Asia, Africa, and America (more than 30 countries). As a vertically integrated company, LUKOIL controls its entire chain of production from oil and gas production to the marketing of a range of products supplied to industrial and retail consumers in various countries.

The augmented reality (AR) offers an innovative technology that includes digital information thereby providing a composite view to the user real- time. Many organizations are vastly investing in the advanced solutions that integrate AR games into mobile devices, enabling them to improve client experience, enrich business expansion, and increase the revenue during the forecast period.

Digital payments have evolved hugely in recent years, with contactless payment cards technology and the emergence of new services from FINTech players changing the way individuals and businesses conduct financial transactions. Emerging technologies such as APIs, DLT, IoT, and AI, complemented by real-time payment infrastructures, are facilitating efficient and secure collaboration between stakeholders in modern organizations.

Swissport International Ltd. is the largest global provider of ground and cargo handling services in the aviation industry, both in terms of sales (revenue) and the number of airports served. 2018 was a particularly successful year for Swissport, as in terms of revenue the company grew by over 10.4 percent to EUR 2.99 billion, further consolidating its role as the global leader in aviation services. Total revenue increased to USD 2.99 billion, up 6.7 percent from USD 2.81 billion in 2017. Business volume also increased by 6.7 percent year-on year. The airport ground services business contributed EUR 2.43 billion, rising by 6.8 percent, and in air cargo handling, total revenue amounted to just over half a billion dollars (USD), rising by 6.5 percent. Today, twenty-three years after its founding, Swissport is active at more than three-hundred airports, in fifty countries across six continents. The company provides ground services on behalf of some 850 customers and handles approximately 282 million passengers and 4.3 million flights per year. With a workforce comprised of around 66,000 personnel, Swissport operates 122 cargo warehouses, with a strong presence in the Americas, Europe and Africa. However, after the acquisition of Aerocare, the primary independent ground handling provider in Australia and New Zealand, it has also had the opportunity to extend its global presence in fast-growing APAC market.

Focusing on the efficiency of sales operations provides a substantial contribution to an organizations survival and evolution. The home appliance market represents a very complex commercial environment with intensive engagements across a great range of different stakeholders who participate in different percentages on separate stages of supply chain and production. In this report, we focus on the sales operations, trends requirements and key transformation issues referring to the sales division of organizations which are actively involved in the production and general trade of home appliances. Special focus is placed on the final stakeholders of home appliances, and the trade procedures employed by the retail stores selling them. A qualitative and quantitative approach was used in order to highlight and differentiate key elements of current and emerging trade issues, and their transformation in relation to the smart home concept. The report also examines industry enablers with regards to new, state-of-the-art connected white goods which are expected to further support the main activities of the home of the future.

AI-driven applications are increasingly becoming a strategic prerequisite among financial services companies. AI offers real value-enhancing customer experiences, optimizes trading and asset performance, assesses loan borrowers creditworthiness and identifies potential cases of fraud and misconduct, among many other applications. However, many financial services institutions remain at an experimental phase and will need to speed up the actual deployment of AI. Instead of a technological challenge, they need to identify AI as a business opportunity. To do so, they need to develop a comprehensive strategy that addresses concrete barriers and opportunities where AI technology can create business value. The need for financial services institutions to ensure that they employ responsible, ethical AI applications that customers, employees and the general public can trust is equally significant.Accordingly, the aim of this e-book is to examine the impact of AI on financial services, particularly through the ways in which AI is rapidly transforming every aspect of the financial services value chain, leading to a significant impact on customer experience, business strategy and organizational processes. In addition, the research study provides an in-depth analysis regarding the effect of AI on financial service sub-sectors, namely banking, insurance, asset and wealth management, while also offering recommendations to better assist financial analysts in preparing for accelerating changes. The empirical findings indicate that AI applications in this sector were expected to account for a USD 35.8 billion market in 2019, a 44% increase from last years expenditure. Banking was expected to be the second largest sector of AI-enabled applications, such as prevention tools for risks and fraud analysis and investigation, at USD 5.6 billion. Moreover, the size of the Banking, Financial Services and Insurance (BFSI) market is expected to surpass USD 25 billion by 2024. The rate of AI acquisitions has also increased. More precisely, more than 140 acquisitions have already taken place in 2019, putting the year on track to beat the 2018 record at the current run rate. Finally, our findings indicate that the most lucrative AI start-ups currently active on the market are ByteDance, Sensetime, Affirm, Megvii and Upstart.