Microsoft announces the Microsoft Supply Chain Platform, a new design approach for supply chain agility, automation and sustainability

Microsoft announces the Microsoft Supply Chain Platform, a new design approach for supply chain agility, automation and sustainability

Microsoft announces the Microsoft Supply Chain Platform, a new design approach for supply chain agility, automation and sustainability

Microsoft Corp. announced the Microsoft Supply Chain Platform, which helps organizations maximize their supply chain data estate investment with an open approach, bringing the best of Microsoft AI, collaboration, low-code, security and SaaS applications in a composable platform.

The company also announced the preview of Microsoft Supply Chain Center, a ready-made command center for supply chain visibility and transformation and part of the Microsoft Supply Chain Platform. Supply Chain Center is designed to work natively with an organization’s supply chain data and applications, with built-in collaboration, supply and demand insights, and order management.

“Businesses are dealing with petabytes of data spread across legacy systems, ERP, supply chain management and point solutions, resulting in a fragmented view of the supply chain,” said Charles Lamanna, corporate vice president, Microsoft Business Applications and Platform. “Supply chain agility and resilience are directly tied to how well organizations connect and orchestrate their data across all relevant systems. The Microsoft Supply Chain Platform and Supply Chain Center enable organizations to make the most of their existing investments to gain insights and act quickly.”

“Supply chain solutions are more critical than ever. Our early assessment of the Microsoft Supply Chain Platform and Supply Chain Center is that the company has put its technology, applications and resources together in a way that will serve its customer base well in a wide swath of IT and operations environments, offering flexibility for diverse IT environments and continuous agility for transformation into the future,” said Daniel Newman, founding partner and principal analyst of Futurum Research.

The Microsoft Supply Chain Platform: An open, collaborative and composable foundation for data and supply chain orchestration

With today’s announcement, we are making it easier for customers to realize the value of the Microsoft Cloud for their supply chain. The Microsoft Supply Chain Platform provides the building blocks across Azure, Dynamics 365, Microsoft Teams and Power Platform for customers to develop or independently adopt capabilities for their supply chain needs. With Dataverse, customers can create thousands of connectors to gain visibility across supply chain, develop custom workflows with low-code solutions in Power Platform, and securely collaborate internally and externally through the power of Teams. With tools and processes that drive positive impact, the platform can enable organizations to gain deeper insights and minimize the carbon impact of their organization and supply chain.

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Photo by Turag Photography on Unsplash

Gartner: top 8 supply chain technology trends for 2019

According to Gartner, while many of these supply chain technology trends have not yet been widely adopted, they will have a broad industry impact this year.

Gartner has highlighted the key supply chain technology trends which they warned must not be ignored. Christian Titze, research vice president at Gartner, said: “Within the next five years if half of the large global companies are using some of these technologies in their supply chain operations, it’s safe to say that the technologies will disrupt people, business objectives and IT systems.”

The top 8 supply chain technology trends in 2019 are:

#1 Artificial intelligence (AI)

According to Gartner, AI technology in supply chain operations is all about augmenting workers. Thanks do developments in self-learning and natural language processing, AI is now advanced enough to automate numerous supply chain processes such as predictive maintenance and demand forecasting.

#2 Advanced analytics

Thanks to the increase in IoT data and extended external data sources such as weather or traffic conditions, analytics is going to get a lot more advanced. Gartner predicted that organisations will be able to anticipate future scenarios and make better recommendations in areas such as supply chain planning, sourcing and transportation.

#3 IoT

Gartner has reported seeing more supply chain practitioners exploring the potential of IoT. However, according to Gartner, new IoT applications involve more than just passive sensors.

#4 Robotic process automation (RPA)

Excitement has been building around RPA for some time now, and its place in the enterprise has seen a lot of maturing this year. Like AI, RPA, according to Gartner, is about augmenting workers.

#5 Autonomous things

Autonomous things use AI to automate functions previously performed by humans, such as autonomous vehicles and drones. They exploit AI to deliver advanced behaviours that interact more naturally with their surroundings and with people.

#6 Digital supply chain twin

A digital twin is a digital replica of a physical asset, whether that is a product, person, place or system.

#7 Immersive experience

Augmented reality (AR) and virtual reality (VR) technologies have long been touted as the next big thing. For all its promise mass adoption by enterprises have, in reality, always seemed to be on the horizon.

Read more at Gartner: top 8 supply chain technology trends for 2019

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How Robotics Take the Supply Chain to the Next Level

We all expected advanced robots to have a disruptive effect on industry — and now robotics has entered the supply chain, too. Some of the ways robotics will advance and reinvent supply chain operations and management are fairly straightforward, while others have been a little more unexpected. Below are four major ways robotics are already taking the supply chain to the next level — complete with specific technologies and implications for each one.

Robots Assume Customer-Facing Roles

Sometimes talking about supply chain operations makes it sound like something that happens away from the public eye. That’s far from the truth, because there are two major points along the average product journey where robots are poised to make a dramatic entrance.

Selective Automation Reduces Injury and Error Risks

One of the greatest supply chain robotics trends to come about so far is selective automation. Far from replacing human jobs outright, selective automation is helping us organize our efforts more effectively by getting people out of dangerous or risky environments, or out of the pilot’s seat of heavy equipment, or away from tedious and error-prone tasks.

Bolt-on Autonomy for Vehicles

There’s an emerging and appealing middle-ground between replacing machinery outright with automated versions and retrofitting your existing equipment, including vehicles, with technology that allows it to operate autonomously.

New Types of Human Jobs

This is not a specific technology. Instead, it’s a cumulative benefit of the technologies we’ve discussed here, as well as many others that are coming of age. All of them come with some welcome reassurance: We’re not obsolete quite yet.

The Supply Chain’s Bright Future

Each one of the benefits of robotics we’ve talked about is helping our global supply chains and all their operators realize a future where machines don’t reduce our quality of life, but rather help us better manage our resources and time. The intelligent application of robotics is one major piece of that puzzle.

Read more at How Robotics Take the Supply Chain to the Next Level

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How intelligent automation will impact and revitalise global supply chains

The idea of automation in manufacturing and the supply chain is nothing new – since the earliest days of the industrial revolution we have sought to automate tasks with machines, and lower the cost of manufacturing processes.

In countless cases, the application of machines, and more recently software, has meant improvements in the consistency of products, facilitated near 24/7/365 production and has meant staff can be focused on higher value tasks in their company.

Yet the use of technology in the industry may not be fully understood; a recent Capgemini survey showed that nearly half (48%) of UK office workers are optimistic about the impact automation technologies can have. However, while respondents to the survey had a general idea of the benefits that might accrue, they were less clear as to how these technologies could be applied to their specific area of work. And worryingly, only 20% said they felt their organisations were currently benefiting from automation – clearly the industry is missing a trick.

However, as utilisation stagnates for certain companies, the market is maturing. Automation is now reaching far beyond simple process software and mechanisation. Technologies such as the Internet of Things (IoT), cognitive computing, advanced robotics, Digital Fabrication and blockchain are becoming increasingly popular, bringing together the power of automation and analytics.

Yet other areas such as artificial intelligence (AI) and machine learning, which are proven enablers for new ways of optimizing the supply chain and manufacturing processes, are less understood. It’s agile, forward-thinking businesses that are able to utilise these technologies in a thoughtful way that will reap the benefits.

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3 ways to strengthen security with software supply-chain automation

Federal agencies are striving to become more innovative and iterative, leading to growing adoption of open source within the government. The issuance earlier this year of the Federal Source Code Policy illustrates how this technology, once anathema to government agencies, has become the de facto standard for the creation and deployment of many applications.

With the explosive adoption of open-source components being used to assemble applications, agency personnel are now tasked with ensuring the quality of the components that are being used. Developers must have confidence in components’ security, licensing and quality attributes and know for certain that they are using the latest versions.

Unfortunately, many agencies that are adopting the RMF are also relying on outdated and inefficient practices and tools that are not designed for today’s open and agile world. In addition to relying on potentially vulnerable components to build applications, some agencies have continued to depend too heavily on common application security tools, such as static application security testing and dynamic application security testing.

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How to Use Big Data to Enhance Employee Performance

Big Data has been one of the most significant and influential aspects of the Information Age as it relates to the enterprise world. Essentially, Big Data is the massive collection, indexing, mining, and implementation of information that emanates from just about any activity that can be monitored and managed electronically. Some of the uses of Big Data include: marketing intelligence, sales automation, strategizing, productivity improvement, and efficient management.

Enhancement of the workforce is one of the exciting and meaningful benefits of Big Data for the business sphere. Recently, human resource managers and analysts have been researching the implementation of Big Data as it relates to employees, and the following trends have emerged:

Employee Intelligence

For many decades, companies and organizations have tried various methods to gain knowledge about what their employees are really like. The productivity that workers can contribute to their employers is based on personal needs as they are balanced against the performance of their duties. With Big Data solutions, both personal needs and performance can be diluted into metrics for efficient analysis.

Modern workplace analytics originates from tracking employee records as well as metrics on their performance, interactions and collaboration. The idea is to focus on the right metrics to create a climate of positive engagement.

Read more at How to Use Big Data to Enhance Employee Performance

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