Over the last year our team of Consultants, Data Scientist and Developer gain a strong expertise in AI. Artificial Intelligence (AI) has been proven capable of introducing new sources of growth, changing how work is done and helping to better serve clients or prospects. The challenge is how to achieve the integration of AI in your business. This is what we take care of at Open Web Technology as you can read in the cases below.
How to tackle text classification challenges in machine learning (1/3)
Machine Learning: Keras for text classification (3/3)
Machine learning use case: Email classification (2/3)
3 MAIN TRENDS IN AI FOR 2021
Before the global pandemic struck in 2020, artificial intelligence (AI), and especially the branch of AI known as machine learning (ML), was already causing widespread disruption in almost every sector.
The Covid-19 pandemic impacted many aspects of our business, but it did not reduce the impact of AI on our lives. In fact, it goes without saying that self-learning algorithms and intelligent machines will play an important role in the current fight against this and other epidemics we may face in the future.
AI undoubtedly remains a key trend when it comes to choosing the technologies that will change the way we live, work, and play in the near future. Here is a snapshot of what we can expect in what will be a year of rebuilding our lives and revising business strategies and priorities.
Smarter analysis and insights into large data sets - AI
Technological advances are the main reason why this pandemic has not (yet) killed as many people as, for example, the Spanish flu epidemic of 1918, which killed up to 50 million people. From advances in medical technology and standards of care to advances in communication technology, which have made it possible to identify epidemics more quickly and to impose containment measures. Over the next year, AI will be added to the list of technological developments that allow us to deal more effectively with pandemics.
The growth in the scientific and medical literature alone is enormous, with more than 28,000 articles published by April this year concerning Covid-19. A dedicated search engine, powered by natural language processing (NLP) algorithms, has already been made available so that everyone can benefit from AI assistance when examining this huge dataset.
Work is also underway to develop AI solutions to help deal with the huge backlog of other medical problems, such as cancer, whose treatment has been affected by the diversion of resources to combat Covid-19. Over the next year, we should see the accelerated adoption of AI in many other areas of health, not just in the fight against viruses.
Automated detection and prevention - AI
We have already seen the use of UAVs in several jurisdictions, including the United States, to at least test the possibility of using them to monitor whether social distancing guidelines are being followed. More advanced applications are on the horizon - such as UAVs capable of detecting Covid symptoms such as high temperatures in individuals in a crowd. These systems use computer vision technology to analyze the data captured by the drone's cameras and inform local authorities or administrators of the statistics and probabilities of the spread of the virus.
Another related area of growth will be the use of facial recognition technology, also powered by computer vision algorithms. Somewhat more controversial, because it focuses on identifying individuals rather than patterns among groups of people, facial recognition has been used by police to detect people avoiding confinement and quarantine, and to track the movements of symptomatic individuals in a crowd.
Evidence suggests that the public has become more tolerant of surveillance tactics that would previously have been considered too drastic, due to the health risks posed by the virus. This tolerance will likely be tested over the next 18 months as technologists become more skilled at surveillance and even law enforcement with respect to AI.
Booming economic activity - Predicting behavioral change
The way we live, work, and socialize has been strongly influenced by the spread of Covid-19. While there has been a strong and continuing trend towards digitalization in many aspects of society, this year has seen a real rush. Amazon's sales in the second quarter of 2020 are up 40 percent over the same period last year, as even those who have so far avoided online commerce have been forced to reevaluate their options.
AI tools and platforms are already in place to help companies understand how their customers are adapting to a new reality. Organizations that were previously lagging in their adoption of digital channels for commerce and relationship development have come to understand the urgency of the situation and are quickly tackling concepts such as behavioral analysis and personalization. Tools providing organizations with self-service access to this technology will become increasingly common throughout 2021 as small and medium-sized businesses seeking to establish their competitive advantage.
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