Ajay K. Gupta

By Ajay K. Gupta, Founder & CEO, HSR.health

There are three broad movements HSR.health predicts will come to the forefront of healthcare in 2024: the spread of generative AI, AI-based research and data analyses, and the increased use of GeoHealth for health equity.

1. The Continued Adoption of Generative AI in Healthcare 

Generative AI solutions, powered by Large Language Models (LLMs), like ChatGPT, will continue to grow in popularity and penetrate every section of healthcare. We foresee adoption and use in:

a. Telehealth and physician-patient interface

— As the remote work revolution continues in our country, so will healthcare also adopt many of its dictums with telehealth options becoming more and more popular with patients with limited mobility and/or living in healthcare deserts.

— Generative AI with its conversational interface will increasingly be used for patient education, walking patients through chat-like interactions on how to take their drugs, how to manage their illnesses, and even acting as triage to guide them on next steps of care.

b. Health education for the general public 

— Generative AI will also be used broadly for the general public seeking information on health issues. Instead of lengthy and often confusing written guides to things like vaccination and lead-proof homes, health departments will deploy LLM-powered generative AI solutions to “speak” to patients about their particular risk, through online, mobile, kiosks, or other channels

Read the rest of GISCafe Industry Predictions for 2024 –HSR.health

By Francois Martin,  Vice GM, International Division at CHC Navigation

GIS Trends to Watch in 2024: Perspectives from CHC Navigation

Francois Martin

As we enter 2024, the GIS industry is poised for exciting innovations that will shape the future of mapping and surveying. Whether it’s new GNSS receiver solutions with augmented reality, workflows transformed by AI, or increased use of airborne and handheld LiDAR, the coming years promise to bring advances that will make geospatial data collection faster, more accurate, and more automated. In this article, we explore some of the key trends and technologies that we believe will transform the industry landscape in 2024.

Solar Activity Peak: Challenge for GNSS Solution

The Sun is currently in its 25th active cycle, which is expected to peak in 2024, when geomagnetic storms triggered by plasma explosions known as coronal mass ejections can cause significant disruptions to GNSS. Compared to the last active cycle, high-precision GNSS positioning has become more common in various industries that rely on accurate positioning information to ensure normal operations. To minimize the negative impact of solar activity on GNSS positioning, the industry will need better GNSS positioning solutions in 2024. First, by further improving the design robustness of receivers to cope with complex space environments. Second, by more tightly integrating augmentation services with positioning chips to improve the usability of high-precision positioning results. Third, by applying machine learning technology to calculate the ionospheric model more accurately to minimize interference.

Read the rest of GISCafe Industry Predictions for 2024 – CHCNav

By Tim Klawa, Head of Product, Figure Eight Federal

Tim Klawa

Top 2024 Trend: Trustworthy Data Starts with Trustworthy AI – 2024 Brings Increased Demand for Transparency and Auditability of Data used in AI Development

In 2024, the defense and intelligence sectors are at the forefront of a major industry trend, prioritizing responsible and ethical artificial intelligence (AI). This paradigm shift reflects a growing operational need to ensure AI systems are not only advanced but also ethically sound and reliable. The focus on responsible AI underscores the importance of data scaffolding in the development of these technologies, particularly in high-stakes environments where AI decisions can have significant consequences.

The trend highlights a critical need for transparency and auditability in the data used to train AI models, ensuring that these systems can be trusted to perform accurately and ethically. This move toward responsible AI is driven by the understanding that the integrity and dependability of AI systems are as crucial as their technological sophistication, especially in scenarios where AI aids in critical decision-making processes. By emphasizing responsible AI development, the defense and intelligence sectors are acknowledging the complex interplay between technological advancement and ethical considerations, aiming to balance the two in a way that maximizes operational effectiveness while upholding ethical standards.

The year marks a significant evolution in AI initiatives, with a key trend being the pursuit of cross-vendor standardization for evaluating the quality of AI training data. This standardization is essential to ensure responsible AI development and to mitigate risks in data pipelines. Such an emphasis is crucial in maintaining the high value and effectiveness of government AI projects in defense and intelligence, propelling the nation’s competitive edge in this field. The defense and intelligence sectors are increasingly collaborating with AI developers and regulatory bodies to create a shared understanding and set of practices that prioritize ethical considerations in AI development. This collaborative approach aims to produce robust, reliable, and trustworthy AI systems that can be effectively deployed in sensitive and critical areas.

Read the rest of GISCafe industry predictions 2024 – Figure Eight Federal

By Mark Safran, Vice President, Senior Program Manager, Dewberry

Mark Safran

Geospatial Mayhem

I wake up in a sweat at two in the morning from a chaotic dream of hyperspectral pixels and pulses of light and synthetic aperture radar rays bombarding the earth like an alien space invasion.

Point clouds swirl through hydrographic canyons, scouring geomorphon rasters out of the way, leaving nothing behind but hydro-flattened rivers and silt choked layers of flood modeling clay.

That’s when things change from bad to worse.

I find myself stuck waist deep in data bricks, my arms held down by writhing, scaly python scrips, and coming at me from all sides, emerging like ghosts from an azure cloud, Storms an army of agents from the halls of AI, carrying RAG fitted LLMs and GeoAPIs.

Definitions: Artificial Intelligence (AI), Retrieval-Augmented Generation (RAG), Large Language Models (LLM), Application Programming Interface (API), GeoAPI: Open Geospatial Consortium (OGC)’s set of programming interfaces for geospatial applications

Read the rest of GISCafe industry predictions 2024 – Dewberry

Nikolaas Steenbergen

The evolution of sensor technologies such as lidar, cameras, and drones has been pivotal for the GIS industry. These technologies have become more sophisticated yet increasingly affordable and accessible in the recent years. Lidar sensors now offer unprecedented accuracy in 3D mapping, while enhanced camera technologies provide finer details and higher resolution imagery. Drones, on their part, have become more efficient and cost-effective, enabling extensive aerial data collection even in previously inaccessible areas outside, even hand held and backpack mounted lidar and image systems are available.

Read the rest of GISCAFE Predictions 2024 – 030Solutions

By Ray Weaver,  CMO, Pointr

Ray Weaver

2023 was unquestionably the year that AI went from being the stuff of science fiction to reality in the public consciousness. It now impacts a huge range of everyday tasks, and of course the GIS industry is no exception.

In my opinion, the most clear industry trend we’ll see in 2024 is a greater synergy between mapping and AI. The GIS tools we have at our disposal today are more detailed and powerful than ever before, but the actual process of creating any sort of map has remained relatively static for many years now – it’s laborious, time-consuming, and prone to human error.

AI, however, presents us with an opportunity to produce maps at scale without requiring strict human oversight at every stage. By automating certain tasks while creating maps – such as identifying which features from the original source (such as a CAD file) need to be included and which can be excluded – and then applying these en masse, AI can save enormous amounts of time with little to no impact on the quality of the finished product. Furthermore, thanks to machine learning and human feedback, the more maps an AI-assisted tool is tasked with creating, the more accurate it will become over time, creating a virtuous cycle.

Read the rest of GISCafé industry predictions 2024 – Pointr

By Boris Skopljak, VP Survey & Mapping and Building Construction Field Systems,  Trimble

Boris Skopljak

Continuous improvement of connected workflows will yield measurable benefits to users in the areas of efficiency, accuracy and communication.

Thanks to advances in technology, more data is being collected at higher accuracies in less time than ever before, resulting in opportunities to leverage rich geospatial information for new applications in diverse industries, providing detailed analysis to support better decision making.

Improvements in computing power, broadband speed and data collection technologies are driving the connection of physical and digital workflows like never before. This evolution is facilitating the seamless transfer of information between stakeholders and is more timely and complete, increasing productivity, amplifying sustainability efforts and opening doors to new business opportunities.

1. Continued Growth in Reality Capture

Reality capture solutions will continue to drive the democratization of geospatial data by improving quality and reducing time to collect information. Advanced 3D scanners and mobile mapping systems are significantly impacting the capabilities of the surveying and mapping industry, resulting in larger data volumes and greater detail and accuracy. Reality capture is fundamental to the idea of a “living digital twin,” enabling more informed decision making based on the complete understanding of the status of an asset.

Read the rest of GISCafé industry predictions 2024 – Trimble

By Vasyl Cherlinka, Soil Scientist, EOS Data Analytics

From Field to Future: How GIS Will Reshape Agriculture in 2024

Vasyl Cherlinka

As we step in the year 2024, the GIS industry can expect evolutionary, rather than revolutionary, technological transformations. Over the years, we have consistently witnessed significant advancements in this area, yet the forthcoming changes, though incremental, can be considered to be pivotal.

The most exciting aspect of this evolution is the imminent integration of data silos in sophisticated systems leveraging the power of GIS in new and innovative ways. One particular industry that will be affected most in this regard is agriculture, which will get profound benefits from transforming data into actionable insights that drive efficiency, sustainability, and productivity.

Emergence of Global Information System

The GIS industry is expecting a leap forward with the introduction of another GIS, a Global Information System. Unlike its predecessors, this new kind of system will unite diverse data types, most of which are inherently tied to geographical coordinates.

Imagine synthesizing data from satellite imagery, sensor networks, weather patterns, and even market trends – all geo-tagged for precise analysis. This comprehensive approach will enable organizations all over the world to make more informed decisions related to disaster management, agriculture, forest preservation and so much more.

Read the rest of GISCafé Industry Predictions for 2024 – EOS Data Analytics

By Eduardo Coloma, CEO, Maptek

Eduardo Coloma

Macroeconomic trends

• Critical minerals: Miners have been quick to take advantage of the worldwide shift to clean energy, a trend that is certain to continue in the foreseeable future. Two main drivers are the importance of advancing technologies for battery storage, electric vehicles, and solar and wind power generation. Critical minerals are also key for telecommunications and security.
• Decarbonisation: Despite an ongoing commitment to lower carbon emissions, the industry has seen increased demand for coal due to political instability globally. Coal will still be required for global energy needs for some time, with usage expected to decrease gradually and influence business decisions over many years. It is wise for companies to set and share clear goals for lowering their direct emissions and work with others to reduce emissions across the value chain. Developments include adding renewable energy technology and starting projects to test new ore processing methods that produce less carbon.
• Incentivise research and development: New products, services and business processes that improve productivity and competitiveness rely on a strong foundation of research and development (R&D). Australia’s economy will continue to succeed by focusing on high-tech, transferable skills across global markets. When mining investment increases during boom times, so does industry spending on R&D, as evidenced by the 2011-12 peak in Australia, when mining contributed $4.1 billion to R&D, a quarter of the country’s total. Ten years later, mining’s contribution to R&D was $0.9 billion, with the share of added value falling from 4.1% to 0.3%. Incentivising R&D is crucial to restoring mining as a major contributor to Australia’s economy.

Read the rest of GISCafe Industry Predictions for 2024 – Maptek