Can AI Help Prevent Natural Disasters?
Advanced analytics and other AI-powered tools and technologies have transformed the way organizations operate by harnessing valuable information from larger datasets and delivering important insights. With the continued growth of cognitive technologies and the increasingly widespread adoption by many industries, what will the future of advanced analytics and AI adoption look like?
With the evolution of big data analytics over the past few years, the opportunities to apply this knowledge and see how different industries are adopting AI and ML have shown tremendous value. However, the evolution and future of analytics is not without its challenges. In a recent AI Today podcast interview with Antonio Cotroneo, director of technical content strategy at OmniSci, spoke about these potential challenges as well as opportunities for industries. Antonio’s experience is helping organizations maximize their geospatial data, mapping technology, and spatial analyzes for decision making. . Anthony will present at an upcoming Data for AI community virtual event on October 28, 2021, where he will explore how geospatial companies like OmniSci can play an important role in understanding the drivers, risks and impacts of fires in Forest.
Evolution of Big Data and Data Analytics
As new developments in cognitive technologies continue to be introduced, the role of data and data analytics, especially in big data, has also evolved. The biggest change, Antonio notes, is how the collective idea of ââAI, ML, big data, analytics and visualization is evolving towards a larger audience. Technologies that were traditionally used or understood only by hardcore practitioners such as data scientists or other AI practitioners are now moving to knowledge workers. As a result of this transition, people are starting to see the impact of AI on their day-to-day activities, both in their work and home life. Whether through new tools or downstream analytics services, individuals are able to use these advancements to inform their decisions in ways that were not possible or common before.
Antonio explains that ten years ago in the Geographic Information Systems (GIS) industry the main focus was on making observations about what had happened or on mapping current states. and the creation of visuals. This is still an important aspect, but the new goal now is to take additional steps to not only observe or orient, but to be able to follow and predict the trajectory of any phenomenon. In terms of broader trends, the commodification or consumerization of AI and ML is starting to impact a wider audience, that’s when these technologies will enter the market even further, Antonio says.
Adoption and use of AI across industries
Artificial intelligence has become a frequent topic of conversation in almost every industry around the world, but which industries are really leading the adoption of these advancements? The industries that adopt these technologies the most appear to be those that have embraced waves of technological advancement in the past. The US federal government and in particular the military, for example, play an important role in the research, development and use of AI, and other industries such as the FinTech market are also key drivers. . The industries that have traditionally pushed the boundaries of our current understanding of these concepts are those that are building the first practical examples of how they can be used and pushing us into new emerging spaces. The automotive and manufacturing industries are other key examples, with the automation of factories and transportation leading to the idea of ââcities and connected services. In some industries, however, the privacy or security of organizations keeps these technologies and concepts behind closed doors, but the general trend in the markets is towards widespread adoption and knowledge sharing.
The growth of advanced analytics
Artificial intelligence and machine learning are part of the general trend to extract more information from data, find patterns and apply tools that reduce the cognitive load on humans. Antonio believes that the future of these advanced analytics lies again in how we will use AI and ML products in our daily lives, from a more personal or human perspective. Analyzes are already used in financial services for tasks such as predicting an individual’s default or qualification for a loan. Virtual assistants are another example of how analytics is increasingly becoming part of our personal lives. As advanced analytics increasingly become part of our routines, the future is less about the deep tech worker who is the individual interface or building solutions, services and applications, and more about users. who are affected and who use AI, ML, and analytics to accomplish even ordinary tasks.
Impacts of AI, ethical frameworks and the general future of AI
In today’s world, there are many ethical AI frameworks issued by businesses, nonprofits, governments, and industry groups. More often than not, however, these various frameworks overlap little and each focus on a small subset of aspects of using AI ethically. While most frameworks mention fairness, prejudice and dignity to some extent, there are many other areas such as consent, disclosure, contestability, interpretability and explainability, governance and accountability. ownership that are important aspects of responsible AI. These aspects explain why it can sometimes be difficult to perform the types of analyzes that are in demand today. Antonio explains that at OmniSci, teams make sure to choose data partners who organize datasets ethically and critically view these types of frameworks. There have been situations where he and his teams have had to move away from certain awkward situations where data collection can lead to sensitive privacy and security situations. This is why working with data providers who strive for both quality and fairness in generating datasets is important to present an accurate picture of the world and, ultimately, to produce good analyzes. .
The general future of AI, says Antonio, is when we don’t even realize it’s there, when systems, governments, and organizations – all the different parts of our culture – are going to work together. somehow from AI and ML. in ways we won’t even notice. In fact, we’re already entering this stage, as many people may not even be aware of how AI and ML is affecting their lives today. As this growth continues, an important area of ââinterest as a culture, as technologists, and as people in this space, is the continued push for broader research and critical thinking around AI and ethics. There are already a lot of people working on technical problems, building more efficient algorithms, better models; there is no missing data. However, in order to properly use data to produce valuable information, the focus needs to be on how to harness AI responsibly and inclusively. For more on this, Anthony will be presenting at an upcoming Data for AI community virtual event on October 28, 2021, where he will explore how geospatial companies can play an important role in understanding drivers, risks and impacts of wildfires and how data, advanced analytics and AI are impacting.