Recent global disruptions, such as the pandemic and geopolitical conflicts, have profoundly exposed vulnerabilities in traditional supply chains, requiring exploration of more resilient alternatives. Autonomous supply chains (ASCs) have emerged as a potential solution, offering increased visibility, flexibility, and resilience in turbulent trade environments. Despite discussions in industry and academia over several years, ASCs lack well-established theoretical foundations. This paper addresses this research gap by presenting a formal definition of ASC along with its defining characteristics and auxiliary concepts. We propose a layered conceptual framework called the MIISI model. An illustrative case study focusing on the meat supply chain demonstrates an initial ASC implementation based on this conceptual model. Additionally, we introduce a seven-level supply chain autonomy reference model, delineating a trajectory towards achieving a full supply chain autonomy. Recognising that this work represents an initial endeavour, we emphasise the need for continued exploration in this emerging domain. We anticipate that this work will stimulate further research, both theoretical and technical, and contribute to the continual evolution of ASCs.

Paris, September 23, 2019 – Capgemini announced today that it has been named a "Leader" in the NelsonHall Evaluation & Assessment Tool (NEAT) Report on Robotic Process Automation (RPA) and Artificial Intelligence (AI) services for banking. In the latest NEAT report entitled "The Advance of RPA and AI in Banking," Capgemini scored highly as a Leader. NelsonHall evaluated 14 vendors offering RPA and AI services. The report highlighted Capgemini's expertise in the following areas: Anirban Bose, CEO of Capgemini's Financial Services and Member of the Group Executive Board said: "RPA and AI are windows into the future and we are intent on being the partner of choice for banks looking for next generation innovation through RPA and AI. NelsonHall's recognition of our capabilities is affirmation that our vision, offerings, and capabilities are industry leading and we are pleased and proud to be commended as such by NelsonHall's thorough and challenging analysis."

Infosys has been positioned as a Leader in Application Services by NelsonHall's Vendor Evaluation & Assessment Tool (NEAT). Infosys was also identified as a Leader in the Application Development and Application Maintenance market segments for this NEAT evaluation. Infosys has been rated highly, relative to its peers, for its overall ability to meet future client requirements, as well as delivering immediate benefits to clients. Infosys is also recognized for its application of automation and AI in application services, as well as its focus on Internet of Things (IoT), predictive maintenance, machine learning, and DevOps capabilities. The Company was acknowledged for developing frameworks and tools to increase automation and cognitive capabilities in application services; including tailored solutions for target industry verticals and toolsets to increase delivery efficiency and effectiveness.

Unisys Corporation has announced new advanced data analytics milestones including the launch of its new Machine Learning-as-a-Service offering and the proposed launch of its new Artificial Intelligence Center of Excellence. The announcements were made at the Strata Hadoop World conference which is being held in San Jose, California. "Analytics are rapidly emerging as a critical tool for digital business transformation, because they enable organizations to discover the value they can gain from marshalling often-disparate business assets in novel ways," says Dr. Rod Fontecilla, vice president and global lead, Analytics, Unisys. This new service offering will be a part of the Unisys Analytics Platform. It consists of a library of machine algorithms which can be used along with proven processes and methodologies to analyze data and facilitate predictive analytics.