VIRGINIA BEACH, Va., Nov. 13, 2024 /PRNewswire/ — GO2 Delivery, a leader in same-day, carbon-neutral courier services in Virginia, has partnered with LuftCar, a developer of hydrogen-powered eVTOL (electric Vertical Take-Off and Landing) cargo vehicles. This collaboration aims to deliver innovative, sustainable air cargo solutions across Virginia and North Carolina.

GO2 Delivery will deploy a fleet of LuftCar’s autonomous, zero-emission air vehicles, enhancing its eco-friendly courier services with faster last-mile and middle-mile delivery options. As a sales channel partner, GO2 Delivery will also offer LuftCar’s vehicles to businesses, government agencies, and organizations committed to sustainable transport solutions.

“Partnering with LuftCar strengthens our commitment to sustainability by integrating advanced, clean technology into our services,” said Eric Brown, CEO of GO2 Delivery. “We’re excited to lead this transformative shift, offering customers fast, reliable, and environmentally responsible air cargo delivery.”

Santh Sathya, CEO of LuftCar, added, “This partnership with GO2 Delivery is a pivotal step toward our goal of a cleaner cargo delivery industry, setting new standards in speed, affordability, and environmental responsibility.”

GO2 Delivery will conduct demonstrations of LuftCar’s vehicles to showcase their efficiency, reduced delivery times, and minimized environmental impact.

This partnership marks an important step in sustainable cargo delivery for Virginia and North Carolina, benefiting both businesses and communities.

About GO2 Delivery
GO2 Delivery is a Virginia-based leader in same-day, carbon-neutral delivery, specializing in medical and business courier services. With a focus on sustainability, GO2 Delivery offers eco-friendly delivery without compromising speed, setting new standards for green logistics.

For more information, visit https://go2delivery.com.
Media Contact press@go2delivery.com

About LuftCar
LuftCar creates hydrogen-powered eVTOL cargo vehicles and infrastructure, offering fast, clean, and affordable solutions for last-mile delivery.

Visit: www.luftcar.com 
Contacts: info@luftcar.com

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SOURCE GO2 DELIVERY

Will AI investments fuel a productivity boom or be overwhelmed by poor data, fraudsters and regulatory confusion?

CARY, N.C., Nov. 13, 2024 /PRNewswire/ — Government AI adoption is expected to rapidly accelerate in 2025, with 84% of government decision makers saying in a recent global study, Your Journey to a GenAI Future: A Strategic Path to Success for Government, that their organizations are planning to invest in GenAI in the next fiscal year. Will these investments spark a new age of productivity and efficiency? Or will the wave of AI hype crash on the rocks of government red tape, poor data quality and sophisticated crime?

Government experts from global data and AI and leader SAS shared their thoughts.

Visit SAS 2025 Predictions for more trends and forecasts.

Internal obstacles to effective government AI usage will persist
“2025 will mark a greater gap between the perceived benefits of data and AI, and governments’ ability to benefit from it. There will be more funding for AI initiatives, but agencies will continue to face challenges deriving value from them due to a lack of digitalization, clear processes and data skills.”
– Ensley Tan, Lead for Public Sector Consulting, SAS Asia Pacific

Unstructured data will be a gold mine for AI and productivity
“Fueled by the need for efficiency and ever dwindling resources, in 2025 governments will begin tapping unstructured data sources with AI to not only speed up processes but better inform policy and decision making. The days of throwing bodies at a problem are ending.”
– Ian Kramer, Senior Manager, US Health Care Customer Advisory, SAS

Government AI fears and tolerances will have huge economic impacts
“Our world will see the emergence of an ‘algorithmic divide’ between governments that embrace AI innovation and those that fear it. Countries that innovate will thrive. Those that let AI fears guide them will see slower economic growth and reduced competitiveness and productivity.”
– Shaun Barry, Global Director, Risk, Fraud & Compliance Solutions, SAS

Generative AI alone won’t be enough
“Government organizations concerned with the validity of generative AI approaches alone will explore multi-modal approaches for trustworthy and productive AI. Text analytics will gain prominence as a data quality solution for enhancing data to be fed into generative AI. This will increase productivity by empowering subject matter experts, versus replacing them.”
– Tom Sabo, Principal Solutions Architect, SAS

Data management and governance will emerge as deciding factors for trustworthy AI success or failure
“It will always be the more mundane part of the AI life cycle, but data quality’s importance has never been greater as government agencies strive to avoid squandering AI investments. The use of trustworthy AI models will require trusted data first, so data management and governance will become foundational to the ‘trustworthy and ethical AI’ conversation.”
– Mary Anne Hopper, Senior Manager, Management & Advisory Consulting, SAS

AI safety institutes will bring (some) order to regulatory chaos
“Concerns over patchwork AI regulations from the national to the local level will persist. However, we will see consistency in responsible AI principles emerge across borders, largely driven by AI safety institutes in Group of Seven countries and beyond. These institutes will be key to generating the interoperability needed to support cross-border collaboration and innovation.”
– Reggie Townsend, Vice President, Data Ethics, SAS

AI governance won’t just be a risk mitigator
“AI governance will increasingly be seen not just as a necessary risk management practice but as a strategic enabler of faster innovation and increased productivity. Government agencies with strong AI governance will be able to execute AI projects with confidence, knowing they are minimizing risks related to bias, regulatory compliance and data quality. Consistent governance and standardized practices across agencies will also support integration and collaboration between departments, enabling agencies to leverage shared insights and resources.”
– Steven Tiell, Global Head of AI Governance, SAS

Democracy will remain threatened with truth buried by overwhelming information
“The rise of the new wave of generative AI and quantum computing marks a watershed point in history of the level of exposure that governments and citizens have to information. The task of finding truth whilst protecting our ethical societal values, given this context, becomes vital for the survival of our democracies and the trust in which citizens will increasingly need to have in our public services.”
– Afshin Almassi, Senior Manager, Public Sector, SAS Spain

Successful operationalization of open source AI models will require better data governance and enterprise ModelOps processes
With the steady increase of open source skills in the workforce and a growing inventory of open source AI models, government agencies will continue to face internal demands to use more open source data and models. But to unlock value in the public sector, being open is not enough – the use of open AI models will require enterprise-grade data governance and ModelOps processes to ensure the models operate at scale while also ensuring trustworthy and ethical usage that is aligned with an agency’s mission.
– Jared Linck, Principal Solutions Architect, SAS

The battle will intensify between AI-empowered investigators and fraudsters
“Generative AI is lowering the bar of entry for fraudsters in all aspects of life. From health care and social benefits to procurement, the ease and volume of fraudulent activity will dramatically increase. Governments and industries are going to have to step up their game in the use of the same technologies to handle these increases.”
– Tom Wriggins, Global Lead, Health Care Risk, Fraud & Compliance, SAS

“Tax agencies will adopt robust fraud detection and entity resolution capabilities in 2025 to fight the onslaught of synthetic IDs being created en masse by fraudsters using GenAI to commit tax and financial fraud.”
– Teya Dyan, Principal Industry Consultant, Tax & Revenue Compliance, SAS

AI will become a crucial part of protecting people and property
“Spurred by historic flooding events and other natural and man-made disasters, government will increase investment in sensor and real-time applications for infrastructure, disaster management, energy management and public safety. There is an urgent need to have real-time situational awareness and make informed, intelligent decisions faster than ever before.”
– Katy Salamati, Principal Industry Consultant, IoT & AI, SAS

“Coupling advanced analytics and assistive technologies such as generative AI will have a key role in identifying and mitigating public safety threats and harm to communities, while increasing productivity by reducing effort spent on repetitive, labor-intensive tasks.”
– Steve Shirley, Director, Justice & Public Safety, SAS

Learn more about how SAS analytics and AI are helping government agencies face today’s challenges at https://www.sas.com/en_us/industry/government.html.

About SAS
SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. 

Editorial Contact:
Trent Smith
trent.smith@sas.com
919-531-4726
sas.com/news

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SOURCE SAS

SAS-sponsored research by Economist Impact suggests global politics and innovation will influence the insurance sector’s fate

CARY, N.C., Nov. 13, 2024 /PRNewswire/ — By 2040, technological innovation driven by customer centricity could pave the way to greater climate resilience and more personalized offerings by the insurance industry. Alternatively, insurance could become a luxury afforded only to the wealthiest few. These are potential paths for the insurance industry, according to a new future of insurance study by Economist Impact and data and AI leader SAS.

Informed by in-depth desk research and expert interviews, four prospective futures for the sector emerge in Revealing the paths to 2040: four possible scenarios for insurance. The report is the first in a two-part study examining the key factors that will shape the future state of the industry and the role technology could play in helping insurers navigate change.

“Our scenarios are not intended to predict the future,” said Edwin Saliba, Senior Analyst at Economist Impact. “Instead, they explore possible futures for the insurance industry, helping insurers better position themselves to respond effectively to emerging challenges and seize new opportunities.”

Per the report, the level of global cooperation and the pace of technological change will help determine how effectively and equitably the insurance sector, governments and societies at large address policy challenges like the climate crisis. Each path forward includes expert recommendations for industry leaders to build resilience and foster agility.

“There is a non-zero chance the insurance industry will collapse by 2040 – and that should prompt all insurers to take stock of growing risks and their overall resilience,” said Franklin Manchester, Principal Global Insurance Advisor at SAS. “Insurers can’t price customers out of coverage in flood zones to remain profitable in the climate crisis, certainly not in perpetuity, and perhaps not for much longer.

“As the digital revolution plays out in parallel, insurers can and should invest in responsible innovation for a more climate-resilient and prosperous future – or they risk failing the fundamental value proposition of insurance, which is to protect people.”

Scenario 1: Isolationism and unregulated technological growth lead to missed climate targets.
Isolationist global politics leads to accelerating technological evolution, unrestrained by regulatory guardrails or broader global coordination. The international community falls short of climate targets due to poor global cooperation. Only countries with the most developed economies can invest in and deploy green technologies (e.g., renewable energy, electric vehicles), while developing economies and regions suffer.

Private, hyper-regionalized insurance creates large disparities in product offerings and pricing, and the vast insurance protection gap widens as insurers withdraw from high-risk markets.

Scenario 2: Customer centricity drives prevention-focused approaches and climate transformation.
If regulatory efforts and global cooperation succeed in protecting digital identities and data privacy, new open lines of communication between countries and regions inspire collective advancement in emerging technologies. Insurers shift from an indemnification to a preventative approach across health, home and auto policies.

The democratization of technology enables insurers to offer highly personalized products to new and existing customers, tailored to their specific risk profiles and preferences.

Scenario 3: The effects of climate change spur climate resilience – for some.
Major economies introduce corporate sustainability reporting and overhaul their national disaster response and recovery policies, with insurers playing a starring role in compliance by employing risk modeling approaches. Lower- and middle-income economies focus on saving lives and livelihoods, while in further-developed economies, banks adopt climate risk-adjusted mortgages, and insurers introduce lower home insurance premiums by encouraging homeowners to retrofit their properties.

Where insurers stop providing coverage, safety regulations and climate-shock-resistant building codes are introduced to prohibit the development of infrastructure in high-risk zones. Insurers leverage historic data and enhance accuracy and data availability, bringing real-time environmental monitoring and advanced predictive analytics to the fore.

Scenario 4: Insufficient innovation and no cooperation? Insurers buckle.
Refusal of governments and businesses to collaborate on technology development and regulation exacerbates global conflict and undermines efforts to mitigate climate change. The full potential of AI fails to materialize, and the insurance industry falls behind in adapting to a world beset by increasingly catastrophic natural disasters. The protection gap reaches historic levels, disproportionately affecting emerging markets, where many are left without coverage and facing significant public resources constraints.

As the insurance industry eventually falters, collective risk pools in local communities gain momentum to cope with regionally specific concerns.

Preparing for 2040
“Even the boldest actuaries, in their most ambitious risk models, could hardly have imagined the skyrocketing frequency and severity of loss events we’ve experienced in recent years,” said Thorsten Hein, Insurance Lead in Risk, Fraud and Compliance Solutions at SAS. “The industry is on an alarming trajectory.

“Insurers are facing increasingly complex unknowns much faster than they’ve ever had to in the past, and it’s pushing their actuarial limits. AI will become an indispensable tool in helping insurers survive and thrive on the path to 2040 – AI guided by human intelligence that knows how to use its capabilities optimally and responsibly for the benefit of the company and the protection of its customers.”

SAS will deliver the second installment of this two-part #Insurance2040 study in early 2025. In the meantime, download the first report at sas.com/insurance2040 – and learn more about how data and AI is helping shape the sector’s future today at sas.com/insurance.

About Economist Impact
Economist Impact combines the rigor of a think-tank with the creativity of a media brand to engage a globally influential audience. We partner with corporations, foundations, NGOs and governments across big themes including sustainability, health and the changing shape of globalization to catalyze change and enable progress.  

We bring a 75-year track record of evidence-based policy research across 205 countries. Our global team sheds light on policy choices through benchmarks, economic and social impact analysis, white papers, forecasting and scenario modeling.

About SAS
SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved.

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SOURCE SAS