In September 2022, Stephanie Atkinson visited the beautiful San Diego campus of Qualcomm. Please enjoy this executive chat with Jeff Lorbeck (SVP and GM, Connected Smart Systems at Qualcomm Technologies, Inc.) and listen to the guru himself share the latest trends in IoT, AI, smart cameras, autonomous vehicles and much more. Learn why and how Qualcomm is advancing the Connected Intelligent Edge!
How Qualcomm is Advancing AI and Internet of Things to Prepare Tomorrow’s Businesses and Cities
Field services and fleet management go hand in hand, while IoT (Internet of Things) continues to provide essential real-time intelligence to improve visibility, safety, and operational efficiencies. Connectivity, tracking, and telematics are at the center of the advancements being made in these industries. When you think about field services, you think many moving parts that need coordination…you think a wide range of logistics synchronization, customer support, delivery operations, and other coordinated activities that are all collectively brought about to make sure products/goods and services are delivered on time, with superior customer service, and with complete accuracy and safety. Field services and operations may include activities such as collecting customer insights, scheduling/dispatching of fleets, bid and estimate calculations, work orders and troubleshooting, and other administrative functions such as billing, accounts receivable, client/customer relations, and more. In addition, some field service teams may also include repair, maintenance, installation, and other services where technicians are required. People, processes, planning, and profit remain the four critical components of field services. The industry continues to move towards a digital transformation journey embracing cloud, software as a service, and IoT.
On the other side you have fleet operations that may require tracking, safety protocols, management, compliance, and coordination. So many industries rely on fleet operations including public safety, construction, HVAC, energy (oil & gas), shipping/logistics, telecommunications, waste management, public transportation, and just about any industry that has repair/maintenance/technician operations. Once a technician needs to be dispatched or needs to complete a delivery, there are many facets to organizing, coordinating, and tracking assets across the fleet. Tracking may take place around the assets in the vehicle, the fleet vehicles, and the drivers or mobile workforce. The human element remains important as safety and compliance become a top priority for drivers, workers, and technicians.
The innovation taking place across field service and fleet management is driven by technology, and more specifically IoT, smart cameras, GPS tracking, telematics and real-time intelligence garnered through automation (AI, machine learning), sensor systems, edge computing, and software. Moreover, are the platforms and software systems that enable transparency and management, providing visibility across the fleet and field operations. GPS Insight is one such company bringing together field services and fleet management. In January 2022, GPS Insight acquired FieldAware, and CEO Gary Fitzgerald shared,
“Our focus has been on bringing together fleet data and telematics technology with field service management solutions.”
Of course, there are vendors operating in these fields but very few provide a streamlined portfolio of services to serve both field service and fleet operations. GPS Insight continues to have a laser-targeted approach and states,
“Joining forces with FieldAware not only extends our competitive advantage across the field service and fleet management landscape, but also provides new capabilities to transform customer satisfaction into a new standard: customer success.”
Field service and fleet management industries were hampered over the last few years and still grappling with the pandemic impact and supply chain shortages. The U.S. is also facing labor shortages, which further creates constraints for hiring and maintaining worker satisfaction. Profit loss, worker retention, and supply chain issues remain top of mind for many leaders in these sectors. However, labor shortages will push us further into relying on technology, automation, and real-time intelligence to get things done efficiently. Compass Intelligence expects field service and fleet management to remain one of the largest contributors to IoT connections growth, as we increase connectivity and tracking of people, assets, and fleets. IoT is and will continue to be essential to meet these challenges head on and provide real-time intelligence for improved operations and supply chain visibility.
In early July, I was honored to have a chat with Megha Daga, Senior Director of Product Management and AI/ML lead for the Internet of Things (IoT) at Qualcomm Technologies, Inc. . As a critical player in AI enablement across the IoT group at Qualcomm, Megha has been crucial in the development of cutting-edge AI solutions used around the world.
We dove right into what Qualcomm has been up to as it continues to advance IoT through the different core offerings, partnerships, and cutting-edge solutions that Qualcomm offers. To set the tone of our conversation, we discussed Edge AI.
Edge AI is essentially intelligence moving to the data generator, according to Megha. Along with getting data faster, a host of other factors impact Edge AI, including privacy, cost, latency, reliability, and bandwidth. For businesses or enterprises, the simplicity of the technology revolves around business intelligence occurring on the device or close to the device itself to enable IoT.
Qualcomm provides a portfolio of hardware technology, but even more exciting is their advancements in software design and embedded processing innovation. The company understands how heterogenous computing makes AI possible and is pushing the envelope to remain competitive in AI and IoT. Some of the stronger vertical markets and industries that Qualcomm is targeting include retail, logistics, energy, utilities, industrial, and robotics.
To further advance into AI, Qualcomm launched the Vision AI Development Kit. This Azure IoT Starter kit is a vision AI developer kit for running artificial intelligence models on devices at the intelligent edge. With Edge AI, data is generated and pushed to the cloud. Legacy devices such as retail payment terminals and other industry specific devices are being digitized and modernized. Hardware or devices can be connected to a box, i.e., edge gateway. Megha shared that Qualcomm is taking metadata and compute to the box, implementing further compute as needed, then sending only the required data back to the cloud. The traditionally “dumb” environment is becoming more intelligent and bringing efficiencies to businesses and operations. Another Qualcomm AI example outside of retail is in logistics, more specifically warehouse operations. Robotics and drones may be used for picking and dropping, reducing overall payloads, and therefore reducing costs.
Edge AI and IoT are coming together to minimize compute to the cloud, as the overall costs of sending massive data to the cloud is becoming more cost prohibitive, and a concern for larger enterprises. The issues of privacy, latency, and connectivity again remain important factors. Privacy not only affects consumers, it also impacts businesses and their customers’ experiences. As for latency, think of delivery robots on the street, providing sub-millisecond intelligence and information to enable operations and efficiency so consumers can get food, packages, products delivered (similar to same day delivery).
Regarding connectivity, especially for operations in remote locations (construction, agriculture), having on-device or near device data intelligence can be critical. Examples Megha mentioned included drones connected to a gateway to enable crop intelligence, construction management, and mining operations.
Qualcomm’s portfolio continues to evolve to support AI and Edge AI, with a stronger focus on software. Their hardware and chipsets will continue to be their foundation, as they grow their partnerships with Original Equipment Manufacturers (OEMs). Qualcomm is leading in the areas of enabling AI on traditional CPUs/DPUs or AI on SDKs. Another cutting-edge development includes AI on embedded processing (low power, high performance).
According to Megha, a few exciting AI areas that Qualcomm has been innovating around includes drone robots, and camera technology. Taking regular cameras for example and making them intelligent, using technologies such as machine vision and AI running on heterogenous computing to completely disrupt its capabilities. Megha shared that Qualcomm is using hardware accelerators for neural network workloads. Furthermore, AMR devices (autonomous mobile robots, i.e., Bosch devices) is an area where Qualcomm is developing chipsets and reference designs to further advance delivery. For example, they recently launched the RB6, a high-end chipset with an accelerator card allowing the robot to greatly improve throughput (i.e., delivery robots).
As far as software goes, Qualcomm is investing and innovating to provide seamless software across the Qualcomm AI stack. Qualcomm is providing unification for developer building and changes, using Qualcomm Intelligence multimedia SDKs providing authentication and simplification for development and deployment, across multiple verticals. Developers and software tools remain a top priority for Qualcomm. Qualcomm realizes the end-customer (businesses and government) require and need end-to-end solutions and thus continues to build out its IoT partner portfolio (vendors, integrators, industry focused providers) focused on software/applications, platforms, and other solutions
I’ll end with a great use case example shared by Megha. The Qualcomm AI Engine runs ML models in IoT devices, such as a security camera that recognizes a family member and activates a smart lock to allow entry. Or an office building that allows employees onto an elevator based on a touchpad. This context showcases the importance of how Qualcomm is advancing AI and IoT to prepare tomorrow’s businesses and cities.
For more reading, please check out, “Qualcomm Advances Development of Smarter and Safer Autonomous Robots for Logistics, Industry 4.0, and Urban Aerial Mobility with Next-Generation 5G and AI Robotics Solutions”
Written by Stephanie Atkinson, CEO of Compass Intelligence
Furthermore, IoT offers predictive analytics so that field service businesses may plan and carry out routine maintenance, reduce wasted travel time, fuel costs, and environmental impact—all without needing a client to make the initial request. Our video telematics camera platforms are amazing cutting-edge devices that do all processing on an edge computing device. They intelligently detect what a driver is experiencing and provide instant feedback to the driver as well as the fleet manager. The artificial intelligence and machine learning coach a driver and capture the context of what is happening to field technicians on the road.
In regard to your company/organization, what are some of the near-term goals you and your team are focused on when it comes to your product portfolio and business solutions, particularly for enterprise and government clients? How do these goals support the scale and roll-out of connected/IoT solutions (including asset tracking/monitoring) and play a role in recent acquisitions or partnerships?
This year, our focus has been on bringing together fleet data and telematics technology with field service management solutions. A major step toward this initiative began in January of 2022 when we acquired FieldAware, the leader in made-for-mobile, cloud-based field service software. This acquisition allows us to offer clients a more robust digital means of managing their service operations—and when that software is paired with GPS tracking or a smart dash cams— it adds a deeper layer of insight so service organizations can also see how their drivers and assets are performing in real-time. Our FieldAware solution also uses a hub approach model, which allows the software to integrate seamlessly with ERP platforms and other systems our customers already use, as well as other connected/IoT solutions including electronic logging devices and video telematics.
We’ve also inked a strategic partnership with a major fleet telematics leader to bring some exciting new products to market in the coming months. It’s too soon to share specifics, but stay tuned.
In regard to your clients and prospects, please share some of the key use cases or core applications your clients are focused on to better understand what is driving current and upcoming adoption trends...provide examples of recent projects, how you are solving challenges or problems and providing business value. Are you seeing any surprising requests or challenges?
The M.E.S.O story is a great example of how pairing telematics data with our field service management solution, FieldAware, can really help an organization grow their business and improve the customer experience. M.E.S.O. used the FieldAware mobile field service hub to build strong partnerships and develop their Uptime-as-a-Service platform to better serve their end customer. This platform has transformed operations, significantly increased efficiencies, and helped improve customer service and success.
M.E.S.O. uses telematics data and IoT monitoring capabilities to collect real-time information about where their customer’s assets are located, the asset’s current health, and how they are being used. The open architecture of the FieldAware service hub then leverages that asset data and provides the core workflow platform to manage all service activities. This solution gives M.E.S.O. account managers access to insights that let them plan and predict the next steps for their customers based on real-world conditions. Through this Uptime-as-a-Service platform, M.E.S.O. can provide its customers with a predictive and proactive solution that reduces downtime, minimizes maintenance and repair expenditures, and extends the equipment lifespan. M.E.S.O. views this capability as core to its business and an essential part of their value proposition.
GPS Insight has been in the fleet management and telematics space for years, but it’s always exciting to hear customer stories about an organization that gets more from the technology than its intended daily use. For instance, our customer in the public sector, Tacoma Public Utilities, was recently able to recover a stolen vehicle using our GPS tracking technology. TPU manages 1400 pieces of equipment, including heavy construction equipment, specially outfitted trucks, and boats. When a fleet pickup truck was discovered missing, TPU went straight to their GPS Insight tracking platform. Due to the mapping, real-time, and history data collected, they knew the truck had been stolen, driven to a hospital, and then parked at a residence. They easily located the vehicle and turned over all their information to the police.
GPS tracking has also helped TPU save taxpayer dollars, improve dispatching, and significantly boost driver safety. And with the increasing energy requirements and plans to incorporate alternative energy-fueled vehicles into its fleet over time, TPU is also using GPS Insight data to generate reports to understand how solutions like electric and hybrid vehicles will impact fleet operations in the future.
Please describe some of the most exciting and innovative products/services/solutions you are providing to your clients, and what is on the agenda to build out your portfolio in terms of new products, partnerships, alliances.
At GPS Insight, we are revolutionizing how businesses run both in the field and on the road. We provide critical insights that influence how our economy operates, ensuring safety and sustainability for our customers and their employees across all industries.
Our most innovative products include the AI-enabled, Driveri smart camera and our field service management solution. As I mentioned earlier, our FSM solution has expanded in scope as a result of our recent acquisition of FieldAware, allowing us to serve clients of all sizes–particularly in the mid-enterprise category. When we pair our telematics data with our FSM solution, we can provide service organizations with high-quality analytics and insights that increase productivity and profitability while also allowing them to provide their clients with an exceptional end-to-end experience.
Part of our FSM solution includes our proprietary dispatch software, Smart Scheduler. Smart Scheduler helps ensure that teams and vehicles are where they need to be–when they need to be there–and assists service managers in streamlining essential operations, improving efficiency, and reducing unnecessary costs.
When dispatchers assign jobs manually–that’s when errors happen. Smart Scheduler gives service managers a complete view of the team and tracks arrival times, locations, and supply inventory. So as an example, if your qualified tech is late getting to the job site, Smart Scheduler can help a dispatcher quickly pinpoint and assign a new qualified worker to step in based on their location and expertise.
On the fleet management side, our Driveri smart camera is equipped with AI and edge computing and one of the most cutting-edge dash cams on the market. Most smart cameras aim to address objectives reactively–Driveri goes a step further by automatically analyzing every minute on the road and only sending alerts for risky driving behaviors, which allows managers to spend more time instructing drivers and less time watching hours of film. Driveri also keeps an eye out for managers by providing clear administrative dashboards that can be used to steer the fleet toward unprecedented levels of safety.
Driveri empowers drivers, too. The app gives users access to driver scores, summarizes overall driving behaviors, enables self-correction and self- management by drivers, and only alerts managers when drivers go beyond certain limits for a range of behaviors. What’s really great about this camera is that it can also detect what drivers are doing right. If a driver slows down to let another car merge, it can see that and award a driver star. This helps drivers see the Driveri camera as less of a tool to spy on them for negative behaviors, and more as a coaching tool that fosters professional development.
Please provide the top 3 trends you are most excited about that will impact the business/enterprise market over the next 5 years.
In the coming years, GPS Insight anticipates widespread adoption of electric and alternative-fuel vehicles across fleet and field service organizations, increased emphasis on environmental and sustainability goals, and greater dependence upon data as a tool to maximize profit and efficiency. The concept of doing more with less, and with less impact on our environment, are significant drivers that will help shape our product roadmap.
GPS Insight is the first company to publish a comprehensive, accessible “For Dummies” book on field service management with Wiley publishing. This exciting collaboration in field service management makes the journey to digitization simpler and guarantees that all service organizations, no matter how big or small, know how to use FSM software to achieve their business goals. We wrote this book for operations executives, business owners, and service managers, and this book covers a broad range of topics like how to choose the right solution for your business, extend the impact of your investment, and tips to successfully implement your software. Organizations with a fleet would also be interested in this book if they’re looking for ways to improve their operations. You can download that on our website here
Here are a few recent chats and articles:
● TRAILER TRACKING TIPS TO ADDRESS THEFT - Fleet Equipment
● How will regulations drive digital transformation requirements for field service companies? - Field Service News
● To Clean the Air, Let’s First Green Our Fleets - WorkTruck
● Guard Your Company’s Revenue as Gas Prices Soar - Cleaning & Maintenance Management
● Seven Ways Construction Fleet Managers Can Keep Costs at a Minimum as Gas Prices Soar - Construction Executive
●LOOKING TO STRENGTHEN YOUR LANDSCAPE BUSINESS? START WITH MEASURING THE RIGHT KPIS - Landscape Business
● Will 3G's Farewell Cripple Trucking Fleets? - Supply Chain Brain
● Why telematics should extend from tractor to trailer - Fleet Maintenance
Brochures & Resources
● 2022 Fleet Safety Report
● GPS Insight & FieldAware Join Forces to Drive Customer Success
● Think Tank Sessions: What Drives Customer Success at Your Organization?
● GPS Insight & FieldAware: Better Dispatching Equals Better Results
● Tacoma Public Utilities
● MESO Case Study
● 2022 Fleet and Telematics Buyer’s Guide
For more on GPS Insight, please visit their website at www.gpsinsight.com.
As seen in Edge Industry Review, written by Stephanie Atkinson
The buzz in 2021 rang super loud around the topic of edge computing, and the excitement and hype are continuing in 2022. The reason for the hype: edge computing is game-changing for businesses and government customers for many reasons. But first, let’s talk about data.
The industry transitioned from data silos to cloud computing, which allowed businesses to push data off-site and into data centers that provided a centralized architecture. This data was used to make decisions, analyzed for trending and anomalies, and provided information back to the business or government agency to support improvements, efficiencies, quality control, and customer delivery.
IN THIS EPISODE, STEPHANIE TALKS ABOUT THE HYPE BEHIND EDGE COMPUTING, THE FUTURE OF IOT, THE IMPORTANCE AND APPLICATIONS OF AUTOMATION, AND PROVIDES ADVICE FOR WOMEN WORKING IN TECHNOLOGY.
Businesses across varying sizes and industries are at different stages of moving from the left side of this diagram to the right, but we can say most businesses are progressively moving to the right. Historically, businesses have focused primarily on closed, static systems and leaned primarily around legacy systems and software including a focus on data being informational. Business work activities were much more labor and people intensive and driven respectively. Now we are entering into a phase of open businesses leveraging data for real-time intelligence and actions, along with leaning on technology including mobile, IoT, and edge computing. This advanced stage of business transformation is more connected than ever, and mobile is the primary foundation of this transformation.
Small and large businesses are mobile and portable, as we work, sell, and serve clients from anywhere and at sometimes at any time. These past few years have shown how important mobile is as our employees work from home or anywhere (and many will stay working from home), AND we seek to automate mundane work activities, and build intelligent operations while providing digital and virtual customer experiences. Mobile technology including mobile devices and services again sits at the foundation of the mobile economy. Employees continue to seek work-life balance and prefer to work around their children’s schedules, family activities, wellness routines, and much more AND mobile is the only technology to fill this need.
WATCH THE ON-DEMAND WEBINAR FOR MORE (download the full presentation here as well)
Sponsored by T-Mobile for Business and Produced by IDG
Within the city construct there are a lot of considerations to delivering "Smart Solutions and Services". In this white paper we will explore the opportunities and benefits from a foundational perspective of connectivity strategies that leverage Fiber as the backbone for “Smart” service delivery.
Since the initial use of Fiber Optic Cable in the mid 70’s to connect US Government computers, we have seen an increase over the years in the use of fiber networking. However, it has not been as broadly recognized until recently just how integral the fiber backbone is to reliable, resilient broadband communications infrastructure is for the future of cities and municipalities alike.
While fiber networks are not new, the technology has continued to advance, and they are indeed the catalyst to just about every use case where “Smart” is included, supporting critical infrastructure and beyond. Fiber networks are not just for the purpose of faster internet, but think about latency sensitive solutions such as traffic monitoring and general multi-modal transportation, first responder services in the city and likewise utility distribution services to improve utility reliability and outage management.
Pre-pandemic, cities across North America were deploying Municipal Wi-Fi as a means of improving connectivity and access for citizens. These municipal networks often times leverage city deployed fiber but were typically only in the metropolitan downtown areas. This was shown to be an oversight, as with a bit more consideration, additional investment and partnership, the thousands of underserved citizens could have benefited from connectivity where there was none. Distance learning and the huge uptick in bandwidth utilization due to the pandemic have caused cities to rethink their connectivity strategy. Fiber networks, again, are the supporting foundation to service delivery to the cities and communities at large
Smart city solutions across the board depend on reliable communications infrastructure. For each application there is an endpoint that then requires the data to be backhauled to the cloud. Data analysis for any real-time insights depends heavily on receiving the data in a timely fashion, edge computing and the analytic insights will falter without the speed and throughput delivered by a fiber backbone.
Written by Bill Pugh of Smart Connections Consulting
Q: Please describe some of the overarching trends you are seeing in the IoT sector as it related to business automation, operations, and plans. Any specific use cases or industry specific examples are best, as it helps provide some context.
A: We’re seeing growing demand from enterprises seeking to leverage IoT to increase operational efficiencies, reduce costs and make better data-informed decisions. McKinsey researchers predict IoT will have a potential economic impact of US $4-11 trillion by 2025, identifying manufacturing as the largest vertical (US $1.2-3.7 trillion). Despite the momentum IoT is gaining, the biggest hurdle for enterprises is navigating the inherently complex process of IoT implementation and deployment. We’ve worked with enterprises in the food services, life sciences and automotive industries last year and helped them achieve massive scale with their IoT implementation and deployment. From temperature monitoring to tracking of high-value assets and automated inventory management, enterprises are accelerating their digitization efforts.
Q: In regards to your company/organization, what are some of the near term goals you and your team are focused on when it comes to BUSINESS (enterprise and government clients) solutions and product portfolio to better support scale and roll-out of connected/IoT solutions?
A: Since our founding, MachineQ has developed global expertise in LoRaWAN® technologies and has played a key role in accelerating adoption in the associated LoRa® ecosystem. We have seen LoRaWAN move from one of many low-power, wide-area network (LPWAN) technology protocols, to the de facto global standard, and we see this adoption continuing to accelerate in the next 5 to10 years. In anticipation of this adoption and growth, we will continue to:
Q: In regards to your clients and prospects, please share some of the key use cases or core applications you are your clients are focused on to better understand what is driving current and upcoming adoption trends...provide examples of recent projects, how you are solving challenges or problems and providing business value.
A: Protecting High-Value Assets with MachineQ for Enterprise Asset Management, a Highly Accurate and Cost Effective RTLS Solution.
MachineQ for Enterprise Asset Management is an end-to-end solution that provides enterprises with a real-time view of high-value equipment, inventory, and movable assets. Leveraging MachineQ’s core IoT platform, this extremely high accuracy solution provides seamless deployments at massive scale using a unique combination of BLE and LoRaWAN technologies. As a result, the solution improves asset visibility, staff productivity, and equipment usage at a lower cost than RFID or manual processes.
One of our flagship customers is a global pharmaceutical biotech company that wanted to track R&D and lab equipment. Neither their attempt to locate equipment with human labor nor deploy an RFID solution was sustainable, resulting in lost employee productivity and hefty replacement costs for misplaced assets.
MachineQ offered the pharmaceutical biotech company a single point-of-contact with custom hardware for tracking, software for visualization/integration, and installation services. The solution also meets their essential requirements, including a dedicated, secure infrastructure for IoT innovation that is entirely independent of the corporate internet network, relieving any security concerns. The asset tags have extremely long battery life (10+ years), allowing the customer to have lower total cost of ownership (TCO). The engineering architecture supports the ability to track tens of thousands of assets per location and provides a sub-room level of accuracy, enabling equipment managers to locate equipment efficiently. And it includes a full suite of bi-directional APIs, allowing for easy and seamless integration with their existing ERP system.
With the new IoT-enabled solution in place, the pharmaceutical biotech company reduced costs annually by avoiding unnecessary replacement of high-value assets and freed up lab managers’ time searching for equipment. To date, the customer has leveraged the MachineQ for Enterprise Asset Management solution to track 14,000 assets across 850,000 square feet in real-time. With a LoRaWAN network now in place, the company plans to increase their return on investment by adding on additional use cases related to facilities management.
Optimizing Vehicle Location Processes and Reducing Operating Costs with an Outdoor Asset Tracking Solution Powered by MachineQ.
Among its most significant and largest customer deployments, MachineQ partnered with a solution partner, CoreKinect, to develop an outdoor asset tracking solution to streamline inventory management, reduce operational costs, and improve customer experience. Leveraging a unique, battery-efficient technology, CoreKinect developed a low-power, long-range (LoRa®) geolocation device that transmits location data in near-real-time, while supporting up to seven years of continuous use on a single battery. MachineQ gateways and cloud-based network infrastructure provide the LoRaWAN connectivity that powers the solution. Customers can integrate the location data into their own business applications or leverage CoreKinect's purpose-built application for data visualization. In regards to your clients and prospects, please share some of the key use cases or core applications you are your clients are focused on to better understand what is driving current and upcoming adoption trends...provide examples of recent projects, how you are solving challenges or problems and providing business value. Together, the companies deployed more than 160 MachineQ Field16c outdoor gateways and 325,000 CoreKinect devices at more than 80 North American locations for their customer in the automotive industry. The LoRaWAN solution enabled the customer to increase operational efficiencies by streamlining vehicle identification, location, and retrieval operations. With the ability to move inventory in and out in near-real time, the customer accelerated sales and increased customer satisfaction.
Q: Please describe some of the most exciting and innovative IoT products/services/solutions you are providing to your clients, and what is on the agenda to build out your portfolio in terms of new products, partnerships, alliances.
Q: Please share any recent news or articles that you believe would be relevant to share as examples of your work in the IoT sector.
Q: Please attach any use case, product brochure, or materials you would like to share regarding your IoT solutions and product portfolio.
Q: Please provide the top 3 trends you are most excited about that will impact the business/enterprise market over the next 5 years.
Thinkers360 2022 Predictions are member-sourced from their opt-in B2B thought leader and influencer community with 100M+ followers on social media combined. The 2022 Predictions are part of a series to provide actionable insights for business and technology executives.
Thinkers360 asked a selection of their Thinkers360 global thought leaders and influencers about their predictions for the Future of Work in 2022. Here’s what they told us…
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