Smart Machine Age Shifts The Future Workforce

Recently, I was invited to take a place on a Tech for Distribution Center (DC) panel during the annual Georgia Logistics Summit. We tackled some intriguing questions:

  • During this time of technological change, what does the future work force look like?
  • What is the most important quality to look for when hiring?
  • Who will be best suited to carry the organization into the new smart machine age?

The Center for Logistics Innovation, which is part of State of Georgia, puts together the summit. The Center is based out of same building where the Advanced Technology Development Center (ATDC), which is like Y-Combinator in the South. That makes it much easier to collaborate with State sponsored organizations spearheading the initiative. Normally, state-sponsored organizations have a reputation for being slow and redundant with bureaucracy. However, the organizations and the folks I have worked with are a complete opposite.  The vision has achieved highly-structured coordination across multiple different state sponsored organizations. A myriad of networking events happen to help build both formal and informal relationships among them for much higher effectiveness.

The people involved in the state program have done an amazing job. For example, the Port of Savannah is the fourth largest port in the United States in terms of container traffic (after Port of Los Angeles, Port of New York and Port of New Jersey). The Port of Montreal Canada is building best practices, procedures, processes, infrastructure and many other things, modeling them based on the Port of Savannah. On top of that, Atlanta is a major hub for distribution centers for many companies that hit the Port of Savannah. The State of Georgia has fostered all this growth with several strategic projects such as the major high way that is being constructed in the North of Atlanta along with a major stadium, which is creating so many employment opportunities in that area.

So, let’s get back to the questions above. Nobody can deny that we are at the cusp of major technological changes. The old ways of doing business are changing. Both the internet and mobile technology have completely changed the rules of the game. The next five to seven years are going change things even more.  Consider the variety of disruptive technologies on the horizon: self-driving cars, smart and connected devices, new delivery models, artificial intelligence, machine learning, and predictive analytics. Based on all of this, we are due for big changes.

Thirty years ago, we defined intelligence based on the ability to remember facts and figures. Now, with Google, you really don’t need to remember much. You can be as smart as anyone else if you have a mobile device and can figure out the right question quickly. With that change, the smartest person has been the person who can discern quickly which information is most accurate and authentic. With new disruptive technologies, the ability to do complicated analytical thinking has become less important, because we have tools and technology to achieve these processes more accurately and efficiently. That begs the question: How will we define intelligence going forward?

I suspect that it will be the person who can quickly adapt to change.  Smart people will be the ones who one that can learn new tools fast, and produce measurable results quickly. Smart people will be those who can be lifelong learners. Agility will be a critical quality for the future workforce. I was surprised to learn that the new breed of recruiters are specializing in evaluating such agility of humans with specialized tests and interview processes. They are evaluating humans on their potential to change.

Another complexity that is changing the workforce, especially in distribution centers, is automation. Rote jobs are going to robots, so humans will have to do the jobs that are complicated, analytical, and involve a lot of decision making that may involve emotional aspects.  Simpler tasks will leverage artificial intelligence, machine learning and analytics. That will shift the role of the workers, who will take on the complicated and strategic tasks.

So, let’s talk about the changes. How have you fostered agility in your organization? How are you preparing your work force to usher it into this smart machine age? What are some of the best practices you have incorporated in your hiring process? Let us know your thoughts in the comments section below.

Originally published at Smartgladiator.com on Feb 28, 2018.

28
Aug 2018
By Puga SankaraComments Off on Smart Machine Age Shifts The Future Workforce
Author:
Puga Sankara
About:
Puga Sankara is the Founder, CEO of Smart Gladiator LLC. Smart Gladiator designs, builds, and delivers market-leading mobile technology for retailers, distributors, and 3PL service providers. So far, Smart Gladiator LoadProof has been used to ship, receive, and scan more than 100 million boxes. SG LoadProof is a patent pending Centralized Enterprise Photo/Video Document System on Cloud for Supply Chain. SG LP is built on the fact that photos & videos are vital docs as important as POs/SOs/Legal Contracts/Fulfillment Orders that reside in ERP/WMS/TMS systems, that serve as compelling, conclusive, unequivocal proof of crucial, critical, vital operations executed in Supply Chain within/across orgs when fulfilling customer orders as well as meeting contractual obligations between orgs as merchandise is transferred between different parties that partake in Supply Chain functions & operations. And these photos/videos data should not be stored in someone’s Smartphone or Email Inbox or in their personal/work Computer, but should be stored in a Centralized Enterprise system, where such data can be pushed into super-fast, stored securely, accessible to all stake holders (CFO/Sales Reps/Customer Support/AR/AP) in an org, as well as facilitates super-fast retrieval/sharing. LP is an Enterprise System of record for Photo/Video docs & is as important as an ERP which is an enterprise system of record for POs, SOs, Legal Contracts between parties etc. that have huge legal ramifications, also as important as a WMS (Warehouse Management System) that hold indispensable shipment & fulfillment data on orders. Like how Instagram, Facebook, Snapchat etc. have evolved into social media platforms/systems that enable individuals to showcase their beauty/pretty clothes/lovely cosmetics/hep coolness etc., LoadProof is an Enterprise system that holds similar photos/videos, but for a different reason, not for show off, but to serve as compelling, conclusive, unequivocal & indisputable system of record and proof that can be presented even in the court of law, when there is a dispute between parties while they execute many facets of the Supply Chain functions & operations. SG LoadProof is also an Enterprise System of Record for Photos, videos and any other digital documents for your Supply Chain Network. A system of record (SOR) or source system of record (SSoR) is a data management term for an information storage system (commonly implemented on a computer system running a database management system) that is the authoritative data source for a given data element or piece of information. The need to identify systems of record can become acute in organizations where management information systems have been built by taking output data from multiple source systems, re-processing this data, and then re-presenting the result for new business use. In these cases, multiple information systems may disagree about the same piece of information. These disagreements may stem from semantic differences, differences in opinion, use of different sources, and differences in the timing of the extract, transform, and load processes that create the data they report against, or may simply be the result of bugs. The integrity and validity of any data set is open to question when there is no traceable connection to a good source, such as a known System of Record. Where the integrity of the data is vital, if there is an agreed system of record, the data element must either be linked to, or extracted directly from it. In other cases, the provenance and estimated data quality should be documented. The “system of record” approach is a good fit for environments where both: 1. there is a single authority over all data consumers, and 2. all consumers have similar needs Here, LoadProof is the System of Record for pictures and videos for all the entities in Supply chain who uses pictures and videos to track using any Supply Chain System infrastructure. 1. LoadProof provides accurate, thorough, complete, and latest information in pictures and videos related to any entity in the Supply chain that is tracked. 2. LoadProof is the single authority on pictures and videos related to any entity in the Supply Chain that is tracked 3. LoadProof doesn’t let any external system to copy the records being stored in it, which eliminates the data being duplicated in multiple places to preserve the data integrity and credibility. 4. LoadProof has a secured login procedure which lets only users with select level access to view the data and modify the records which helps in maintaining LoadProof is becoming the Industry Standard System for Photo & Video Docs for Supply Chain Smart Gladiator is located in ATDC - Advanced Tech Dev Center (tech Incubator) in Georgia Institute of Tech. Click for a demo - https://loadproof.com/apply Puga is a supply chain technology professional with more than 25 years of experience in deploying capabilities in the logistics and supply chain domain. His prior roles involved managing complicated mission-critical programs driving revenue numbers, rolling out a multitude of capabilities involving more than a dozen systems, and managing a team of 30 to 50 personnel across multiple disciplines and departments in large corporations such as Hewlett Packard. He has deployed WMS for more than 30 distribution centers in his role as a senior manager with Manhattan Associates. He has also performed process analysis walk-throughs for more than 50 distribution centers for WMS process design and performance analysis review, optimizing processes for better productivity and visibility through the supply chain. Size of these DCs varied from 150,000 to 1.2 million SQFT. Puga Sankara has an MBA from Georgia Tech. He can be reached at puga@smartgladiator.com or visit the company at www.smartgladiator.com. Also follow him at www.pugasankara.com. [Read More]
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