In the pandemic’s wake, enterprises rapidly relocated their workloads to the cloud to drive continued productivity and ensure business continuity. But is the cloud always the answer? Not always.
Internet of Things (IoT) devices — now 10 billion worldwide — generate tremendous amounts of information in real-time and suffer lackluster performance if they must send the data back and forth to the cloud, resulting in transmission and compute latency, decreased agility, and inflated costs.
This prompted enterprise IT teams to leverage the Edge, a distributed digital architecture that moves computation, storage, and network services near the end-users to boost the quality of app performance.
What constitutes the Edge?
Think of it in two ways. First, there’s the far edge, where enterprise IT teams conduct edge computing on-premise, which can range from brick-and-mortar retail stores to autonomous cars and beyond. These disparate locales all share a common denominator: They’re performing computations at the end-user’s location, where the data is originally collected.
So what’s the real benefit of edge computing? By localizing the data, it doesn’t need to travel, which speeds data up processing, lowers latency, and increases network bandwidth savings. Edge computing is quickly becoming a must-have staple for enterprise IT teams.
In fact, in 2022, more than 40% of companies’ cloud rollouts will integrate edge computing, with the global market forecasted to earn nearly $250 billion in 2024.
What about near-edge and multi-access edge computing?
Alternately, there’s the near edge, which provides multi-access edge computing, a market poised to generate $23 billion by 2028.
MEC enables enterprises to harness real-time cloud services powered off-premises at the service provider’s network edge — occurring at base stations, telco data centers, or points of presence (PoPs). Still residing extremely close to end-users. This results in improved data performance, faster processing speeds, and enhanced storage capabilities.
Far edge and the near edge computing provide the same service
Definitions aside, both the far edge and the near edge provide the same service: Secure, reliable, and performant network connectivity. This can only be achieved through secure access service edge (SASE), which delivers SD-WAN and security-as-a-service to both near and far-edge sites via a global network of PoPs.
Here’s a closer look at how edge computing, SASE, and MEC are transforming end-user data collection, processing, analysis, and storage across industries.
Harnessing the power of edge computing
By 2025, as connectivity requirements scale across industries, 30% of all data will be created and collected in real-time. To enable a real-time response, this data must be processed on premises at the far edge, which positions resources, including storage, computing, and networking, as near as possible to end-users.
This helps customer networks substantially lessen latency, accelerate data processing, and increase bandwidth savings.
Who stands to gain from edge computing?
Everyone — from manufacturing, farming, and healthcare to network optimization, workplace safety, and retail — the possibilities are practically limitless.
In addition to providing solutions for framework issues like bandwidth limitations and network congestion, the implementation of edge computing gives autonomy where reliable connectivity may be hard to come by, plus data sovereignty and security that allow sensitive data to be processed and secured locally via encryption or other methods before it’s sent to the cloud.
Computing for Augmented Reality
Imagine you’re a retail store owner. By offering interactive digital content, you can enhance your customers’ experiences in countless ways. For example, edge computing helps run augmented reality-powered shopping apps like smart mirrors that require real-time human feedback.
And what if you’re riding in an autonomous car? Only through edge computing can your vehicle ingest, process, and analyze data from numerous sources, spanning car sensors to satellite data and much more. This information must be aggregated and processed in real-time, empowering your car’s artificial intelligence to make split-second driving decisions and keeping you safe.
SASE provides cheaper, more flexible solutions to protect data
With the number of monthly active users for mobile augmented reality apps projected to reach 1.9 billion in 2022, combined with the continued popularity of remote work and increasingly complex security threats around the world, enterprises are looking for solutions to securely connect users to business and entertainment resources and applications, no matter what device is being used or where the user is connecting from.
Though effective, SD-WAN is designed to connect branches and specific home workers — inefficient with the growing amount of remote devices and services outside those branches. Enter SASE, which combines the network performance benefits of SD-WAN with a more efficient method of delivering on-demand security services anywhere, similar to other cloud services.
As networks send and access real-time data from various cloud locations, SASE ensures on-demand connectivity and automates the process of protecting both data and end-user devices. By crafting a global network of PoPs that serve as a stepping stone to a variety of cloud services, each PoP can apply the full suite of enterprise security functions, regardless of when or where users, devices, or applications connect.
SASE technology is quickly becoming a core asset for enterprises looking to boost their network security
SASE tech inherently reduces the number of vendors IT teams require, which is cheaper and cuts down on technological complexity. Further, SASE provides better performance for companies that frequently use real-time latency-sensitive collaboration tools thanks to its ability to route through multiple PoPs.
The SASE distributed architecture is optimal for remote work, making it easy for IT to perform security functions for the end user.
As with any new technology, the marketplace is still figuring out what an effective SASE solution looks like. Innovators must continue striving for innovations to provide flexible solutions that don’t compromise scalability for simplicity.
MEC: Revving up data speeds and reducing latency
By 2025, an astounding 175 zettabytes of data will be created annually — with enterprises producing 60% of it. How much data is 175 zettabytes? Better clear your schedule — you’d need 1.8 billion years to download it all.
MEC will help you prepare for this massive shift in big data.
MEC tackles tremendous amounts of information in real-time, performing data analysis, processing, and storage. Instead of running these tasks in distant clouds, they’re performed in base stations, telco data centers, or PoPs at the near edge — via radio access networks — nearby your network, with SD-WAN providing enhanced connectivity and security.
MEC powers ultra-low latency
How does this change the game? MEC powers ultra-low latency, lightning-fast data transmission, and enhanced quality of experience (QoE) for your customers. Additionally, it radically reduces the traffic that’s offloaded to the core network or backend server, freeing these assets up for other business-critical needs.
Like edge computing, MEC supports infinite use cases across industries. For example, manufacturers will use MEC to support agile smart factories. Using MEC, even the tiniest faults or defects can be instantly detected via video and analyzed, empowering engineers to ensure minor issues don’t snowball into major problems.
Law enforcement sees the benefit of MEC too.
Equipped with dash cams in their squad cars and wearing body cameras, British police have struggled to offload all their imagery data to a central place where it can be analyzed and stored. To address this, inside the trunks of their police cruisers, they’ve installed ruggedized UCB-style devices, a video processing unit (VPU), an SD-WAN Edge device, a Wi-Fi card, and dual LTE connections.
So, as officers exited their cruisers, their cameras broadcast over Wi-Fi to a recorder in the trunk of their car. After the VPU processes the data, it’s uploaded over the dual LTE — using SD-WAN technology to improve the quality of connectivity — to a base station at the near edge for video post-processing, analysis, and storage.
To enhance app performance, enterprises around the world are turning to the Edge. At the far edge, data is processed where it’s collected in real-time and extremely close to users, radically reducing latency.
At the near edge, MEC does the heavy lifting, handling volumes of data in real-time and performing data processing and analysis at warp speed, delivering improved end-user QoE. What’s the endgame for IT teams?
By reducing their reliance on the cloud, they can speed data transmission, boost agility, and reduce costs — supporting next-generation innovations that are only limited by imagination.
Featured Image Credit: Photo by Valdemaras D; Pexels; Thank you!
The Power of Human Touch in Software Development and AI Environments
Necessity is the mother of invention — a principle that has defined technological advancement and design for generations. We innovate and create new products, services, and processes based on human needs that arise. Just as these needs evolve with each generation, so too must the way we approach the innovation required to address them, and that requires a human touch in software development.
Digitalization Driving Productivity and Collaboration
In today’s era of digitalization, companies are turning to new technologies, specifically software applications, to drive efficiency, productivity, lowered costs, and smarter collaboration. As the adoption of digital transformation has increased, so has the number of software solutions enabling and supporting it.
Companies are looking to software developers for new ways to integrate technology. Operations demand process automation, improved communications, and the delivery of more value to their customers.
Artificial Intelligence (AI) has been an influential part of this progression and an enabler for many capabilities today; however, we must exercise restraint in relying too much on technology alone to reach business goals.
Restraint With AI Makes Better Sense Today
There’s power in the human touch that can set the stage for meaningful transformation when embraced during the software development process. As we continue to integrate digital technology into nearly every facet of work and life, we need intelligent software design to incorporate more of the human experience to thrive.
The key is finding a measured balance between purpose-driven software design and human touch and understanding how to execute this collaboration successfully and ethically.
AI’s Role in the Consumerization of Software
Historically, enterprise software was initially designed with a particular persona and a very specific set of requirements in mind. As a result, it was built to serve simply as a tool with no focus on the user’s experience, behavior, or even the potential ability of the user to change behaviors.
For example, if a person were using a software program to search for fruit, that software would need to be coded to show each specific fruit. Then, if a user searched for a peach, the software would display a peach. If they wanted to search for an orange instead, the software would need to be hard-coded to show an orange. This is a very cut-and-dry process leaves little room for interpretation.
Software Designed to Consider User’s Behavior
Today, AI-powered software is designed with realistic human values in mind, defining a set of user stories and use cases that proactively adjust to potential user behavior, with a strict focus on providing and maximizing end-user value and experience. Explained differently, rather than designing software around who a user is or what they do, the software is designed to consider the user’s behavior and the value the product can provide for an optimum user experience.
Revisiting the example above, if a user in Florida is seeking “fruit,” the initial result the software is likely to show them would be an orange. Alternatively, if the user lives in Georgia, it would likely show them a peach — since these fruits are indigenous to their respective regions.
Software Built With Human Touch Provides an Experience
In this example, the software was built to look for an outcome and design an experience that considers several factors to present the most likely desired result. This is how AI algorithms are used to design an environment meant to improve the customer experience by anticipating needs based on trends. This is also how software developers automate an experience.
Several different inputs are analyzed to the point where an assumption can be made based on a person’s behavior over time. Content is then populated, or an action taken that the program deems would be most useful for that person, all in the name of improving the user experience. But what if the person in Florida doesn’t like oranges and the person in Georgia doesn’t like peaches? This is where the human touch comes into play
Finding the Ethical Balance Between Smart Personalization and Human Privacy
AI algorithms require and collect personal user data to customize the experience in a unique and valuable way for a specific user. However, they can sometimes be too rigid when analyzing only the data without considering personal preference, free will, or choice.
AI alone, without any oversight, can also go too far, as there’s a fine line between personalization and privacy, and AI can’t make the distinction on its own. A human developer addresses this issue by providing the guardrails necessary to ensure ethical design and desired behavior while also incorporating the flexibility needed to give users a greater sense of choice.
How Do You Protect Your Customers?
Software must be built so the user can determine what data they want to provide to improve their life or minimize evasiveness. On the front end, as software is being designed, developers can build flexible architecture with certain constraints in mind to provide an ethical and secure framework around how the AI algorithm works. This allows users to define where the line is or how much personal data they allow into the architecture or the cloud.
Ultimately, users want AI to optimize the tasks they need to perform but don’t want the AI to make decisions for them without approval. This idea of choice is another critical element of why the human touch is so imperative in the development process, even as the industry has sought faster and more efficient ways of writing software programs.
The Artistry of Software Engineering From the Human Touch
As a means of automating code writing, code generators were introduced several decades ago to quickly write new code and get applications to market faster. Requiring minimal human intervention, the developer would simply set what it needed the app to do, and then code was generated for that specific purpose. It was easy to write code that would solve a particular problem and take the user from point A to point B in the most efficient way possible.
However, the lack of human touch is the issue with this model. There’s no consideration for the user experience or innovation that excites and delights; the software is simply working to solve the problem without room for interpretation. Alternatively, the human coder can push boundaries and determine how to interpret the user requirements to decide the best path between the two points.
Flexible Code Environments Make Efficient Programming
For example, if a program were coded to simply draw a tree, a code generator would produce the same tree over and over with no differentiation in color, leaf type, size, etc. There would be no artistry behind it, and users wouldn’t have the ability to choose from various tree designs. Instead, they’d have to accept the tree the generator produced. But when an engineer has the ability to integrate their personal touch, the artistry of software design is unveiled, and the experience becomes something very different.
Today, our industry has evolved even further, and low-code/no-code environments have emerged as the next generation of modern and efficient programming. Developers can now quickly build the foundation of a program from existing services and functions that have already been written by other coders, easily defining the path the user takes to get from point A to B.
This type of coding is a much more flexible way of designing software that allows engineers to adopt the preferences of the end-user and change functions as the end user changes. However, the various functions are still being coded by an individual and, thus, are constrained to the preferences of that person.
Reusable Templates Boost Productivity
So, to revisit the previous “tree” example, software developer A designs a single tree which developer B can now take and, in about the same amount of time as it took to create just one original tree, reuses as a copy over and over but in different ways.
Several copies can be placed side by side to depict a forest, or a single copy can be placed in front of an abandoned building or on a deserted island to create different applications entirely. However, because they’re all using the same original tree design, all of the trees in each environment still look the same — the artistry is limited to that of the person who originally designed the tree.
Decide and Improve the End Product to Customize
Where the human element comes into play is when the software engineer can have the ability to decide how they want their tree to look and can add features along the entire design process to augment it.
Then, the next engineer can come in and change or improve it to meet the needs of their users, and so on. Now, instead of one tree that everyone has to use repeatedly in different ways, there are hundreds of different trees that all came from the same initial version but have been customized and improved upon.
How Does AI Build a Tree?
If we relied on AI to build the perfect tree, it would calculate only one way to do so, but what if you don’t like it? It’s no longer perfect for you. So, rather than relying on AI completely, developers can choose how to embed AI capabilities into their programs to drive the best customer experience.
These AI integrations have to be customized to fit the environment, however, and this requires an actual engineer to be part of the process, which ensures the human element is preserved.
Ultimately, software engineers have to find the right balance of enabling smarter technology that can proactively anticipate and solve our problems while also ensuring end users have the ability to exercise their right to choose and decide what’s right for them based on the facts presented.
Human Touch at the Heart of Modern Software Design
No longer are software solutions built for a single defined purpose. Instead, they are built to learn and evolve based on the creativity, artistry, and ethics of the human touch. As emerging technologies have helped enable modern innovation with unprecedented speed, and invention can now be born out of demand and pursuit of progress rather than out of necessity.
As AI continues to be integrated into the software development process, the human touch will play an integral role in teaching the software how to adapt to each user’s needs, values, behavior, and privacy priorities.
Featured Image Credit: Photo by Andrea Piacquadio; Pexels; Thank you!
5 Ways to Find Balance at a Startup
Startup founders and employees find that achieving work-life balance can be challenging. 43% of entrepreneurs agree that work-life balance is one of their biggest challenges. As the start-up grows, demands will also grow. Founders and employees need constant motivation and fresh ideas to keep up.
As challenging as a good work-life balance is to achieve, it is very important for your personal and professional lives. It can be as important as a business plan for your startup. This article gives a better understanding of work-life balance, what it means, and why it is important. It also highlights a few ways to find work-life balance at a startup.
Work-life balance meaning
So what is work-life balance all about? In simple words, the term work-life balance is about how you manage your time between work and outside of work. It gives you the flexibility to get things done in your professional life while still having time and energy to enjoy your personal life.
There is no perfect work-life balance template to follow. We are all different, and so what a healthy work-life balance looks like will differ between us. However, the primary goal of a better balance is that you should have a greater sense of well-being and lead a better quality of life.
Why work-life balance is important
Work-life balance is important for many reasons. Some people are willing to give up money for a better work-life balance. This is a true testament to the stress levels of the modern workplace. In a 2020 Deloitte survey, it was found that 44% of millennials say they are stressed all or most of the time. Companies that help their employees have a good work-life balance in their professional and personal lives have higher retention rates.
A good work-life balance has many perks. Some of these include:
- Fewer health issues
- Higher productivity levels
- Fewer burnouts
- More mindfulness
Poor work-life balance has some dire consequences. It can wreak havoc on your health, home life, and personal relationships. Some of the drawbacks include:
- High-stress levels
- Feelings of dissatisfaction with life
- Increased rates of family issues and divorces
- Escalation of substance abuse
- Low productivity levels
- Dissatisfaction at work
- Lower levels of motivation, commitment, and loyalty.
5 ways to find balance at a startup
To create a better work-life balance, think about how you can achieve balance in your personal and professional life. What works for someone else may not work for you. However, here are some tips you can try to improve your work-life balance.
Develop some time management skills
Many entrepreneurs struggle to manage their time correctly. This is because they spend most of their time working long hours to complete their to-do list. There are only 24 hours in a day, so prioritizing may be the best way to manage your time better.
Create a daily, weekly, and monthly to-do list. Try focusing on the most important tasks on your priority list. Doing so can increase the chances of things being done with greater care and focus.
Another thing you can try to do is to say no to the less important stuff. You can simplify your work and delegate the less important stuff. Also, turn off your phone and email notifications. Set a scheduled time to respond to emails and make phone calls. Replying to emails and checking messages as they come in can be distracting. It can make you lose focus and mess with your productivity.
Try to leave work at work
How often do you find yourself taking work home and working remotely from home? The answer is probably too often. You may find yourself working on weekends and holidays. This leaves you with little to no time to relax or spend with loved ones. Try to do work during work hours and stop once those hours are up.
It is important to have a strict policy when it comes to work and other areas of your life. You can try having a no-work-on-the-weekend rule. Having the rule is one thing, but sticking to it can be hard. Try your best to follow this rule and make no exceptions. The weekend can help to reduce stress from all the issues you dealt with during the week. It can even give you time for ideas and solutions to emerge. It is vital to give your body and mind a chance to rest and recover.
Set aside family time
Making time for your family with a busy schedule can be hard. However, you need to remember that your family is your main support system. When things aren’t going smoothly at the startup, your need for support is greater. This is where your family comes in.
Work decisions and responsibilities become easier to manage with your family’s support. Spending quality time with family members can relieve stress, nurture positive behaviors and promote a healthy lifestyle. Time spent with family can improve both your professional and personal life. Plan family trips, game nights, and other activities. These can help build quality relationships with your family.
Schedule personal time
In today’s fast-paced world, it can be hard to find time to indulge in personal interests. However, one’s personal life is as important as one’s professional life. When you unplug and take a step back, you will experience a whole new perspective.
If you feel overwhelmed with everyday life, it may be time to take some time off work. Take your vacation time to rest and recover. Choose an activity that you love and one that relaxes and rejuvenates you.
You can try to make time to meditate, travel and do things you love. Personal time is best for self-reflection and setting goals. Self-care is also essential for your mental health.
If you cannot get much time off, simply ensuring you sleep and eat well can help. The American Academy of Sleep Medicine (AASM) and the Sleep Research Society (SRS) say to aim for at least six to seven hours of sleep. You should also be mindful of what you’re putting into your body. Constantly chugging coffee and eating junk food will eventually affect your health. Try to eat at least one or two healthy meals a day.
Outsource when possible
Technology has come a long way. It has gone to great lengths that we can now replace much of the work necessary to run a business. Try to outsource repetitive tasks that take up too much of your time. This can allow you to focus on your goals and have more time to deal with personal matters. For your personal reading, here are 10 reasons you should be outsourcing your marketing.
SET FLEXIBLE HOURS
A flexible work environment can lead to a healthier work-life balance. Flexible hours, telecommuting opportunities, and other systems can relieve stress. They also allow you to attend to personal matters and spend time with your family. At the same time, it can also help to increase your productivity levels and effectiveness.
Exercise can improve your physical health and mental health. It can also help to improve your productivity. Exercising for just 30 minutes a day can keep your body and mind active and fresh. This can lead to higher energy levels, increased focus, and completion of tasks faster. Exercise can also help with creativity, so when you’re faced with a challenge, exercise. It doesn’t have to be anything too intense; a simple 30-minute walk may help.
MAKE WORK FUN
The only way to make an 80-hour work week bearable is to integrate some fun. Play is crucial when it comes to working. It can improve employees’ work-life balance as well as founders. Some fun can make you both more productive and lead to a more engaged workforce. It can keep everybody motivated and happier. Try to keep the happy spirit alive as much as possible. You can do this by promoting play, encouraging hobbies at work, etc.
A change in scenery can work wonders. It is great for your mental and emotional well-being. Traveling to new places can free your mind, body, and soul from stress. It can help you reflect on personal goals and interests. Aside from these, it can enrich and transform your perspective on life. Traveling can also improve productivity, sharpen problem-solving skills and increase creativity.
Staying positive when dealing with entrepreneurial failures and threats can be hard. However, a positive mindset may be able to help you pull through. It allows you to focus on the positives of the situation and help you visualize your goals. Focusing on the positives and having a clear idea of your goals can result in you meeting them. A positive attitude is awesome, even though it can be tough to maintain.
Inner Image and Featured Image Credits: Provided by the Author; Pexels; Thank you!
The Impact of AI as Companies Address the Skilled Labor Shortage
Due to a combination of Baby Boomer retirements and a declining birthrate leading to smaller subsequent generations like Gen Z — employment firms predict that the talent shortage we’re experiencing now is likely to last for years to come. While this has the potential to be disastrous news for the economy, it doesn’t have to be, thanks to another growing trend in business: AI acceleration.
We’re currently seeing an increase in the application of AI in the workplace that moves beyond typical machines and into areas of law, medicine, software, and even art. While many have predicted that the acceleration of AI would lead to the demise of human labor, it may very well be this technology that solves the labor problem — at least for those willing to work in tandem with these AI solutions.
Taking Advantage of AI
So what does working with these AI solutions look like? What challenges are businesses facing due to this labor shortage, and how can AI help solve them? I’ll answer these questions and offer some strategies on how organizations can best position themselves to take advantage of AI and combat the continued labor shortage.
Bridging the Gap
The growing skilled labor shortage is already baked into the next 15 to 20 years, thanks to existing and continuing demographic trends. However, the opportunities to innovate within the labor shortage space are massive in the areas of cloud computing, AI, and robotics. Investment in these areas can help U.S. companies compete in a world that’s increasingly fractured and regional.
Robotics and AI systems have already proven reliable in repetitive, precise, and dangerous tasks. Businesses transitioning their supply chain away from globalization and toward more regional approaches can use AI to automate many of the tasks necessary in warehouse and factory environments.
Plenty of Use Cases
In construction, AI is being adopted to complete tasks such as drywall installation and painting, allowing humans to focus on more complex jobs such as plumbing and electrical installation.
In industrial projects, remote-controlled machines handle the more dangerous duties, like demolition and movement of heavy materials. For office environments, artificial intelligence and automation are handling repetitive occupations — taking over tasks like data gathering, clean up, and prep.
More Than Mundane
However, repetitive tasks aren’t the only places in which AI prioritization is making a difference. It is being employed to help existing workers do their jobs more effectively and efficiently.
A great example of this is OpenAI’s Codex. Codex is an AI solution that scans and analyzes petabytes of code, questions, and answers from websites like Stack Overflow. With this tool, developers no longer need to search for answers or examples of code. Instead, Codex is directly integrated into the code completion of their IDE, saving them hundreds of hours of searching and increasing their productivity.
Creating More Creative AI
Meanwhile, systems such as Stable Diffusion and ChatGPT show how AI can take over, creating more derivative works and freeing employees up to tackle creative tasks that are still well out of reach of AI.
This isn’t to suggest that AI is an eternal solution to the skilled labor shortage. But it is a critical stop-gap that can be leaned on until the workforce grows again — something that’s projected to happen sometime in the early 2040s.
In the meantime, for organizations to maintain competitiveness as the talent shortage continues, it will be necessary to strategically integrate AI into the labor force wherever possible.
1. Don’t build your entire strategy on top of a third-party AI platform.
While there are speed-to-market benefits to third-party solutions, using the same platforms as your competitors means you’re relying on the same data and, consequently, will wind up with the same business model as everyone else.
By developing your own platform — at least in some use cases — and focusing on the data within your niche instead, you can create a cone of differentiation that protects your business and creates long-term opportunities within your niche market. This will also ensure you don’t get trapped within the vision of a third-party company rather than following your own.
2. Invest in skills acquisition over education.
To combat the skilled labor shortage, you don’t need more employees with general education. Instead, you need candidates with specific skills who can help you close the widening skills gap. Technology certifications such as AWS, Azure, and GCP are great examples of the skills required to build the necessary cloud solutions and AI platforms you’ll need to compete.
This focus on skills isn’t just about hiring. It’s also about changing your focus on internal employee training. Apprentice and licensing approaches like those used for electricians and plumbers are great models for training people in new skills as they’re needed.
3. Align your investments with global shifts in geopolitics, economy, supply chain, and demographics.
As the U.S. and the rest of the world move toward more regionalized supply chains and manufacturing, the combination of human creativity and advanced technology, such as AI and robotics, will be critical. But that will only be true if this combination is pointed in the right direction.
Make sure that your investments in AI and skills acquisition are guided by your environment rather than a desire to invest in technology for technology’s sake.
The Necessary Human Touch
In summary, labor shortages, the current supply chain crisis, and inflation that organizations and leaders face will continue to impact their operations over the next few years. The rise of AI-based solutions could be a key technology to help organizations combat those challenges and maintain a competitive edge if they adopt AI solutions and integrate them effectively with their greatest assets: human creativity and problem-solving.
The strategies I outlined will help leaders prioritize as they begin selecting and adopting those AI solutions and navigate the current and growing issues associated with the shift from globalization to regionalized supply chains and labor.
Realizing AI’s Vast Potential
It’s important to remember that today’s artificial intelligence and automation solutions are designed to enhance human capabilities and improve their potential to solve problems and create explainable knowledge. They aren’t meant to replace humans in the workforce.
Leaders who remember this and focus on the symbiosis of human creativity and AI rather than on using AI to replace people will have a strategic advantage in the decades to come.
Featured Image Credit: Provided by the Author; Unsplash; Thank you!