Gravitation of Blockchain in Shared Services:The Next Phase of Service Delivery Strategy

A Blockchain is an immutable, tamper-proof, shared ledger of state changes of a digital asset. It is an incorruptible digital ledger of economic transactions that can be programmed to record not just financial transactions but virtually everything of value. This digital ledger is managed via a distributed network across many nodes that can verify and confirm those transactions through consensus. The implications of the technology are far-reaching but there are conditions that should be met in order for Blockchain to be a viable solution. The purposes of this research are to (1) explore the current Blockchain use cases in Shared Services (2) understand the value created by Blockchain in Supply Chain Management and (3) study the tactical challenges in adopting a Blockchain strategy in Shared Services. In addition to a literature review conducted, we conducted in-depth interviews with selected Shared Services Leaders and experts. Results of our research indicate that Blockchain technology can deliver on expectations and implementation in Shared Services organizations will require simple steps. This study provides the data necessary for executives to build a business case for applying Blockchain technology in Shared Services and investigates the potential that Blockchain has to revolutionize industry and deliver gains in speed, security, transparency, traceability and accountability for a wide range of business processes.</p

The Sirt1 activator SRT3025 provides atheroprotection in Apoe−/− mice by reducing hepatic Pcsk9 secretion and enhancing Ldlr expression

Aims The deacetylase sirtuin 1 (Sirt1) exerts beneficial effects on lipid metabolism, but its roles in plasma LDL-cholesterol regulation and atherosclerosis are controversial. Thus, we applied the pharmacological Sirt1 activator SRT3025 in a mouse model of atherosclerosis and in hepatocyte culture. Methods and results Apolipoprotein E-deficient (Apoe−/−) mice were fed a high-cholesterol diet (1.25% w/w) supplemented with SRT3025 (3.18 g kg−1 diet) for 12 weeks. In vitro, the drug activated wild-type Sirt1 protein, but not the activation-resistant Sirt1 mutant; in vivo, it increased deacetylation of hepatic p65 and skeletal muscle Foxo1. SRT3025 treatment decreased plasma levels of LDL-cholesterol and total cholesterol and reduced atherosclerosis. Drug treatment did not change mRNA expression of hepatic LDL receptor (Ldlr) and proprotein convertase subtilisin/kexin type 9 (Pcsk9), but increased their protein expression indicating post-translational effects. Consistent with hepatocyte Ldlr and Pcsk9 accumulation, we found reduced plasma levels of Pcsk9 after pharmacological Sirt1 activation. In vitro administration of SRT3025 to cultured AML12 hepatocytes attenuated Pcsk9 secretion and its binding to Ldlr, thereby reducing Pcsk9-mediated Ldlr degradation and increasing Ldlr expression and LDL uptake. Co-administration of exogenous Pcsk9 with SRT3025 blunted these effects. Sirt1 activation with SRT3025 in Ldlr−/− mice reduced neither plasma Pcsk9, nor LDL-cholesterol levels, nor atherosclerosis. Conclusion We identify reduction in Pcsk9 secretion as a novel effect of Sirt1 activity and uncover Ldlr as a prerequisite for Sirt1-mediated atheroprotection in mice. Pharmacological activation of Sirt1 appears promising to be tested in patients for its effects on plasma Pcsk9, LDL-cholesterol, and atherosclerosi

Software bots -The next frontier for shared services and functional excellence

A Software Bot is a fundamental element of Robotics Process Automation (RPA). RPA can be deployed to automate repeatable, mundane, rules-based work-flowed process tasks across multiple functions in an organization, including Shared Services. While RPA holds high promise, using Software Bots for process automation is not straightforward. The purposes of this research are to (1) examine where Software Bots currently are being deployed in Shared Services organizations and (2) understand the business case, drivers and challenges. We conducted a survey involving Shared Services leaders, functional leaders and RPA experts and discuss the best practices for analysing and optimizing the business benefits of implementing Software Bots. The majority of the companies surveyed have limited application of Software Bots in automating their business processes and are finding difficulties in quantifying tangible savings and identifying cost of implementation. Based on these results we identify functional processes which are candidates for automation using Software Bots and outline implementation steps to automate processes beyond business process optimization

Towards an integrated methodology for implementing shared services

Setting-up hybrid shared services is not a straightforward and requires methodology support. To learn more about current practices and experiences with shared services delivery models and methodologies to setup shared services we conduct survey research among companies that deploy shared service centres. In this research paper we report on the findings of our research. Based on the results we outline initial requirements and present building blocks for an integrated methodology to effectively support implementing shared services

Automation of knowledge-based shared services and centers of expertise

Automation of Knowledge-Based services is the natural evolution of Robotic Process Automation (RPA), fueled by new technologies, often categorized as Cognitive Automation (CA). The purposes of this research are to (1) explore the Expertise Shared Services and Centers of Expertise functions where automation of knowledge-based processes is most suitable and (2) understand the value drivers and primary tactical challenges in adopting a strategy for automating Knowledge-Based expertise services. In addition to a literature review conducted, we conducted in-depth interviews with selected executives and experts. We developed case studies to better understand how Software Bots can be deployed for automating Knowledge-Based Expertise Services in organizations when they transition to automation of knowledge-driven processes. Results of our research indicate that the majority of executives and experts are aware of the need for automating Knowledge-Based Expertise Services but most remain unclear regarding its value or how to invest in adoption of this new trend

Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India.

This paper presents AtheroEdgeLowRes (AELR), an extention of AtheroEdge™ from AtheroPoint™, and a solution to carotid ultrasound IMT measurement in low-resolution and overall low quality images. The images were collected using a low-end ultrasound machine during a screening study in India. We aim to demonstrate the accuracy and reproducibility of the AELR system by benchmarking it against an expert Reader's manual tracing and to show the correlation between the automatically measured intima media thickness (IMT) and the subjects' cardiovascular risk factors (i.e. body mass index--BMI). We introduced an innovative penalty function (PF) to our dual-snake segmentation technique, necessary due to the low image resolution. We processed 512 images from 256 patients, and correlated the AELR IMT values with the patients' age and BMI. AELR processed all 512 images, and the IMT measurement error was 0.011±0.099 mm with the PF correction and 0.173±0.127 mm without. AELR IMT values correlated with the Reader's values (r = 0.883) and also correlated with the subject's BMI and age. The AELR system showed accuracy and reproducibility levels that make it suitable to be used in large epidemiological and screening studies in emerging countries