2018 – 19 has been a great year for AI as it made its presence felt in mainstream business processes. Organizations today are continuously exploring the potential of AI. The consumers too are getting accustomed to interacting with the technology on a daily basis.
In 2020, not only will this technology witness even more prevalence, but it will also prompt deeper conversations around more significant topics. It will also fuel innovative business models and impact society in new ways. The following are some predictions associated with AI that you need to know.
AI Will Create More Job Opportunities
Experts believe that many jobs will be eliminated in the long-term because of AI-powered automation. Roles that involved repetitive, manual tasks are being outsourced to AI with each passing day. However, in 2020, AI is expected to create more jobs opportunities than it replaces.
Instead of eliminating the need for human expertise, AI will enhance the existing systems and processes. This will lead to the emergence of a new type of role.
Humans will support AI implementation and monitor the application. More manual labor will transition to management-centric jobs that function alongside AI. This trend will continue until 2022. Gartner predicts that in two years AI will create 3 million jobs while eliminating 1.8 million.
Unmatched Cyber Defence With AI
In recent times, cybercriminals have been actively targeting software-as-a-service (SaaS) platforms, cloud infrastructure, and internet of things devices. Hence, it has turned out to be a pestering tech security menace for business owners.
In 2020, you can expect artificial intelligence to be more impactful in warding off cyber threats and prevent potential hackers. Numerous organizations around the world have deployed artificial intelligence and machine learning technologies to figure out online threats’ real-time and nab the cybercriminals before they spread like the plague.
AI is empowered to identify abnormal activity indicators and protect your system early before the menace becomes impossible to control. For instance, if you have a Paraphrasing Tool, you can use AI to maintain the confidentiality of the consumers’ personal details.
AI Will Resolve Talent Shortages
A shortage of AI and machine learning talent is creating a disruption in the process of innovation. As technological advancement keeps accelerating, it is becoming more difficult for organizations to find talent that can carry out large-scale AI efforts.
To deal with this situation, organizations will adopt AI and machine learning to address the talent gap in 2020. For instance, Google Cloud’s AutoML includes machine-learning products. It allows the developers to train machine-learning models without having any AI coding experience.
Amazon Personalize is another machine learning system that assists developers in building sophisticated personalization systems that can be integrated into many ways by different types of companies. Additionally, organizations will use AI to find talent, fill job vacancies and set innovation in the right direction.
Reinventing Human Expertise With AI
Machine Learning is incredible at data analysis. It helps to develop models that identify patterns and automate decisions.
In 2020, the organizations exploring the potential of AI are likely to rediscover digital decision platforms and knowledge engineering. This will be done to encode and extract rules. It will be used to form knowledge graphs from the consumers and employees.
The strength of knowledge engineering comes from human wisdom, and Machine learning employs data to support decision making when used together.
Increase in AI “Transparency”
There are multiple examples of how AI is influencing our world. However, deciphering the outputs and rationale of complex machine learning models remains a challenge.
Unfortunately, AI poses a substantial limitation in situations where humans want to learn more about the rationale behind AI-supported decision-making.
AI democratization has been spearheaded by a plethora of open source tools and libraries. The open source community will drive the charge to develop transparent or explainable AI that can clearly decipher its logic, detect biases in data sets, and offer answers to follow-up questions.
Before AI is widely integrated, humans need to decipher that the technology can perform efficiently and explain its reasoning under any circumstance.
AI Assistants Will be More Useful
It has been a while since humans were acquainted with AI assistants. Amazon’s Alexa and Apple’s Siri have been supporting people on the road and in our homes for years.
In 2019, we will witness AI assistants develop the capabilities. AI will gather behavioral data and become more efficient at responding to requests and accomplishing tasks. With the advancements in speech recognition and natural language processing, humans will have smoother and more user interactions with AI assistants.
In 2018, many organizations came up with new AI assistants. Recently, Google started rolling out its voice-centric reservation booking service known as Duplex, which can call and book appointments on the users’ behalf. Amazon introduced a device called Echo Auto, which allows drivers to integrate Alexa into their vehicles.
AI Will Perform Accurate Facial Recognition
Facial recognition is an AI application that assists in recognizing an individual using digital image or patterns of their facial features. 2020 would witness a sharp increase in the implementation of this technology with higher accuracy and reliability.
With the increase in the element of personalization, this technology will be applied for biometric identification as well. Be it your shopping experience or advertising, the presence of AI will be felt everywhere. In fact, this will become widespread owing to the non-invasive identification and the ease of deployment.
Enhanced Automated Machine Learning With AI
Machine Learning would witness a radical transformation with the advent of AutoML (automated Machine Learning) algorithms. AutoML will enable developers and programmers to resolve complex problems without developing specific models. The benefit of AutoML is that it would let the analysts and developers emphasize on the problem instead of focusing on the entire process and workflow.
AutoML smoothly aligns with custom ML platforms and cognitive APIs. AI will directly target the issues rather than going through the entire workflow, thus saving a lot of time and energy. AutoML will present a unique blend of portability and flexibility in 2020.
AI-Enabled Chipsets Are In
AI depends on specialized processors that function in alignment with the CPU. However, one major downside is that even the quickest and most advanced CPU would be incapable of training an AI model. The AI model would need extra hardware to carry out mathematical calculations for complex tasks like identifying objects and faces.
This year, leading chip manufacturers like Intel, Nvidia, AMD, Qualcomm, etc. will develop chips that will swiftly accelerate the speed of execution of the AI-enabled apps. These chips will be helpful for multiple customized uses in language processing and speech recognition. Investing more time on researching into these chips would usher in the development of applications for healthcare and automotive sectors as well.
The popularity of Artificial Intelligence will not limit itself to reaching new heights this year. The focus would not only be on newer applications in the industry but also on how it benefits the consumers. It will usher in a new dawn in the domain of technology.