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Discover How to Transform Logistics with Emerging Technologies in the Online Event LYT21

Discover How to Transform Logistics with Emerging Technologies in the Online Event LYT21

On Wednesday, April 21, LYT21 will be held, an online event where companies, all from the logistics and technology sectors, will meet to learn about the most innovative solutions being adopted in the market.

After the success of the first edition held in Spain, LYT20, ChainGO has decided to undertake this second edition in the United States, organizing it hand in hand with major associations such as Virginia Maritime Association, Blockchain in Transport Alliance, Old Dominion University, Global Trade Magazine/CITT (Canadian Institute of Traffic and Transportation), among others. KoiReader, G2 Ops, ChainYard, OARO, WITRAC and Women’s Startup Community have also joined the initiative.

What is LYT21?

The LYT21 event is the meeting point between the highlighted companies of the logistics industry and the new technologies that are already revolutionizing this sector.

“In this second edition of 2021, our mission is to accelerate the digital transformation process in the logistics industry, in a time of crisis where the adoption of the most disruptive technologies to achieve more efficient supply chains, can make the difference between surviving or not in the logistics industry of the future. A future that is already here. “This is how the organization describes it.

To this end, the event will be available to everyone, and free for 3 hours, four panels of experts in which we will see real use cases with direct application of the latest technologies in logistics processes.

The objective of this event is to raise awareness of the opportunities that the most disruptive technologies are offering for supply chains.

Blockchain, IoT, AI and Cybersecurity.

The event is divided into four round tables where the four most disruptive technologies applied to logistics will be discussed: Blockchain, IoT, Artificial Intelligence and Cybersecurity. For this, the LYT21 will have a panel of more than 15 experts among which speakers from large companies, startups, consulting companies and associations will be divided in each table.

Different use cases of the application of the same technology will be presented but from different points of view (explained from a large corporate, a startup, an association, etc.). In addition, once each of the different use cases has been presented, there will be an open panel discussion among the different profiles at the table.

Free registrations.

In the first edition, LYT20, more than 800 companies and 1000+ people attended the event online. For this event, the aim is to push the boundaries even further a reach a more North American-focused audience. To this end, free tickets have been made available to the public.

LYT21 offers its free tickets through this link.


Digital Trends for the Trucking Industry in 2021

The first quarter of a new year is a great time for fleet leaders to reflect on how their current plans for the year are going and then adjust accordingly if needed. What’s working for you? What should you stop doing? What should you start doing?

For the trucking industry, one trend for 2021 is clear. Digital is the way forward. While fleet management software has been on the scene for a few years, some parts of the supply chain still rely on analog processes and clunky, legacy solutions. The pandemic added additional stress in the logistics industry, largely due to volume fluctuations, and highlighted the need for better technology that will help drive more efficient logistics operations.


A specific growth area of trucking technology is the adoption of solutions that use AI and ML for automation. AI-powered, cloud-based solutions for route optimization will take some of the headache out of a route planner’s job by helping planners match the right driver and load with the best route. Route optimization tech can deliver an optimized route for the driver in just a few clicks.

By adopting automated route planning and optimization software, planners will then be able to focus on exceptional cases, while still being able to adjust routes manually if needed.

Data and analytics

A positive byproduct of digital transformation and technology adoption is increased access to data. Despite data making its way into nearly every industry to optimize workflow, improve business processes, and increase revenue, only 23 percent of fleets use data to inform decision-making. Because of the heavy demand for drivers and fleets, especially due to the current qualified driver shortage, fleets need to leverage AI, driver-specific metrics, and cloud management software to create more informed and productive drivers and plans.

Fleets have not always utilized data and analytics to their advantage. Fleets can now leverage real-time, cloud-based software and data to decrease planning time and optimize operations so that drivers can make more deliveries in less time. The demand for real-time visibility and on-time pickups and deliveries by shippers and receivers is only increasing, and the bar for fleets to compete successfully is getting higher.

Digital transformation

Fleets across the spectrum, from truckload to LTL and final mile, need technology solutions to work as efficiently as possible to empower their planners, drivers, and managers, from anywhere, at any time. They need to move to the cloud for enhanced communication, security, and access to data. As a result, fleets can rise above the competition if they optimize fleet management and workflow solutions and implement software to improve decision-making.

Automation, data visibility, and cloud-based digitization in the trucking industry wouldn’t be possible without a strategic decision by fleet leadership to prioritize digital transformation solutions. Digital solutions are required to best enable all parties in the supply chain, and fleet leaders need to pave the way with tech adoption. With the power of AI, machine learning, and cloud-based software, fleets will run faster, more efficiently, and more profitably than ever before.


Avi Geller is the founder and CEO of Maven Machines. Since 2014, Avi has led Maven’s growth as an IoT platform that serves the transportation industry through real-time, mobile cloud enterprise software. Avi originally hails from Palo Alto, California, but started Maven in Pittsburgh, Pennsylvania due to the city’s impressive innovation and technology resources. Prior to founding Maven, he held international positions with SAP and contributed to the growth of several successful software companies and startups. Avi also has an engineering degree from MIT and an MBA from Northwestern University.

life sciences

Top 12 Benefits Commercial Life Sciences/Pharma Leaders Must Consider When Evaluating an AI-Analytics Investment

In a detailed white paper titled, “Achieving the Vision of What BI Should Be,” authors at WhizAI highlighted the importance of accurate, timely data for commercial businesses within the life-sciences sector. In order to successfully achieve the very best information in the post-pandemic economy, businesses will need to utilize tools within the technology toolbox to manage the immense amount of information critical to success.

Specifically outlined in the whitepaper is the use of artificial intelligence to help businesses navigate market shifts while accurately tracking the latest trends essential to maximize investments.

WhizAI’s co-founder and CEO, Rohit Vashisht itemized the top 12 things benefitting AI-enabled analytics and why businesses within the life sciences arena should consider this as a critical element in managing data.

1. AI-Driven Real-Time Insights: On-demand insights and real-time charts via Visualization AI

2. Self-Service Access to Content: Ask questions in natural language; drill to any data granularity; minimal training; no code environment

3. Scalable to Meet Evolving Needs: No need to create reports; automatically adapts to business changes (product launch, realignment, etc.)

4. Reduced Manual Upkeep of Reports: AI-powered maintenance and enhancements; lower total cost of ownership

5. User Preferred Interface: Seamless experience across mobile, tablet, web, and text; Voice and text-based interaction

6. Augmented Analytics: Life Sciences trained ML algorithms answering how/why questions; relevant alerts

7. Performance: Lightning fast response to ad-hoc user queries; sub-second responses on billions of records

8. Platform Scalability: Containerized microservices-based architecture; highly scalable; runs on standard hardware

9. Cloud Native and Agnostic: Optimized and designed to deploy on any public/private cloud (AWS, GCP, Azure, etc.)

10. Enterprise Ready: Single sigh on; Multi-tier security provision; audit and log capabilities; behind a firewall

11. Data Source Connectivity: Direct connectors and adaptors for data sources/systems; no need to host filed on FTP/S3

12. Change Management: Minimal planning needed; save time and money in rollouts; high adoption rate