|Since the inception of artificial intelligence, developers have been fascinated with the idea of self-learning programs. It is seen as a technology that can completely revolutionize our entire society / Photo by: Phonlamai Photo via Shutterstock|
Since the inception of artificial intelligence, developers have been fascinated with the idea of self-learning programs. It is seen as a technology that can completely revolutionize our entire society. While AI does offer significant benefits, it also poses terrible dangers: abusive surveillance or data use, loss of jobs and human agency, and many more. Nonetheless, AI is projected to grow and dominate our society even more.
AI Predictions 2020
According to Forbes, a global media company focusing on business, investing, technology, entrepreneurship, leadership, and lifestyle, a report predicted that 2020 will be the year AI goes mainstream. Udemy for Business’ 2020 Workplace Learning Trends Report: The Skills of the Future revealed that AI would account for 35% of America’s stock market today.
Recently, research firm Forrester released a report revealing that 53% of global data and analytics decision-makers have been using AI – some have implemented it, are expanding or upgrading their implementation, or are in the process of implementing it. In the past year, 29% of global developers have worked on AI/machine learning software. Also, 54% of global mobility decision-makers stated that one of the biggest benefits they anticipate with edge computing is the flexibility to handle present and future AI demands.
Forrester predicted that hundreds of new Intelligent process automation (IPA) use cases would be created by 2020 by 25% of the Fortune 500, an annual list of the largest US corporations by total revenues for their respective fiscal years. This aims to add AI building blocks to their Robotic Process Automation (RPA) efforts. The report stated that these firms need AI and intelligence to scale. Also, it is projected that they would be redirecting AI investments to more mundane shorter-term projects with “crystal-clear efficiency gains.”
AI Technologies in 2020
One of the most awaited parts of AI every year is its technologies. Many sectors and businesses that are highly interested in implementing AI are curious about what the technology would bring this 2020. Here are some examples:
1 - Profound learning frameworks
A profound learning framework can mimic the brain of humans using an exceptional form of machine learning. It makes use of artificial neural circuits and numerous abstraction layers to process data and generate prototypes for decision-making. According to RT Insights, an online site that features analysis and market insights on real-time analytics, profound learning frameworks are now being used to identify patterns and categorize apps that are friendly along with the large-scale data sets. Some of the companies that would be using it next year include Saffron Technology, Sentient Technologies, Peltarion, Fluid AI, and more.
2 - Conversational AI
Conversational AI refers to the use of chatbots, speech-based assistants, and messaging apps to automate communication and create personalized customer experiences at scale. In 2020, many companies expect that conversational AI will flourish. Research firm Gartner reported that 50% of analytical queries are projected to come from search, natural language processing (NLP), or voice queries next year. Thus, organizations would have more access to the analytics system. The report also revealed that 70% of white-collar workers will work with conversational platforms every day.
3 - Text analytics and NLP
Text analytics and NLP are currently being used for security systems and fraud detection. These technologies are utilizing text analytics to find out the sentence structures, their meaning, and their purpose with the help of machine learning and statistical practices. They are also being used by several automated assistants and applications in extracting any unstructured information.
|Text analytics and NLP are currently being used for security systems and fraud detection / Photo by: jazman via Shutterstock|
4 - Explainable AI solutions
According to Enterprise Talk, an online site that covers technology news, strategy, and thought leadership to help CXO's, entrepreneurs and business owners make smart decisions, it is expected that there will be a rise in the number of AI-fueled applications as AI becomes an integral part of the decision-making of organizations. Gartner reported that 30% of government and large enterprise contracts will require these solutions by 2025, which means that AI would be significant in creating the foundation for this emerging market next year.
5 - Speech recognition
Siri and Alexa are both using speech recognition. This technology has the ability to identify words and phrases in spoken language and convert them to a machine-readable format. In 2020, more and more systems will be introduced to make use of human language input. As a result, hundreds of thousands of people will be using voice-response interactive services and mobile applications.
However, Forrester predicted that there might be a lot of confusion with AI as the spread of deepfakes, incorrect use of facial recognition, and over-personalization continue. Still, it is confident that “these imbroglios won’t slow AI adoption plans next year. Instead, they will highlight the importance of designing, testing, and deploying responsible AI systems — with sound AI governance that considers bias, fairness, transparency, explainability, and accountability.”
Overall, experts project that AI will only further develop this coming 2020, changing many aspects of our organizations, business models, and cultures. However, companies and industries should be reminded that the rise of AI technology both has pros and cons.
|Siri and Alexa are both using speech recognition. This technology has the ability to identify words and phrases in spoken language and convert them to a machine-readable format / Photo by: Wachiwit via Shutterstock|