Artificial Intelligence (AI) hogged the limelight in the year 2018 by successfully automating more functionalities. The general public has been receptive to interacting with the machines daily and more companies have started exploring the various AI applications. In 2019, the stage is set for AI to transform the society, add spark to discussions and give rise to innovative business models.
Here are the top 7 AI Predictions for 2019;
1. Machine Learning as a Service (MLaaS) will gain prominence
Tech giants like Google, Amazon, and Microsoft have taken giant strides in MLaaS as a technology by offering prebuilt Machine Learning Solutions. Amazon’s SageMaker helps developers build, train, test and deploy Machine Learning models whereas Google Cloud’s ML engine helps them by building large and complicated algorithms for various applications. Microsoft Azure is a developer-friendly platform that lets them easily build ML models with drag-and-drop options.
This trend is going to pick up in the coming years. Smaller companies without the necessary resources or in-house talent can benefit from prebuilt solutions. Companies having technical experience and know-how can benefit from selling and deploying packaged solutions as they become attractive in the market. As per Transparency Market predictions, MLaaS is estimated to reach US $20 Billion with an alarming growth rate at 40% CAGR.
2. AI will become more transparent
The democratization of AI has started taking place which has to lead to the rise of various open-source libraries and tools such as TensorFlow, PyTorch, Scikit Learn, etc. This gives rise to expectations that the open-source community will take the charge in building transparent AI in 2019. Explainable AI will help to tackle the black box problem which is posing limitations in situations where organizations are implementing AI without a thorough understanding of how it works.
3. Creation of more jobs than eliminations
AI-driven automation will eliminate most of the manual and repetitive jobs in the long run. But, in 2019, AI is going to create more jobs than it eliminates. As per a prediction from Gartner, AI is going to create about 2.3 million jobs in the coming two years while eliminating only about 1.8 million jobs.
AI models currently augment the existing processes and systems. This has given rise to management jobs that require humans to work alongside AI where they will provide support for the implementation of AI and oversee its working.
4. AI Machines will become more thoughtful
Most of the AI discussions are based on physical actions that the machines can manage. Recently, the trend has shifted to the development of thoughtful and insightful machines. In the customer service environment, AI can be used to identify the sentiment in a customer’s voice and give suggestions as a human agent would do to keep the person happy thereby boosting customer engagement. In 2019, more importance will be given to the development of smart and predictive AI that can help by giving insightful tips.
5. Greater impact on healthcare
The deployment of AI-based systems in the healthcare industry will help to deliver personalized medical care to patients. New business models will be developed that will provide improved and accurate diagnoses by monitoring patient lifestyle data and history.
6. AI will change the political landscape globally
AI will have a major impact on the global political landscape with superpowers like the US and China heavily investing in the technology. Countries that focus on fostering AI talent will experience alarming growth thereby widening the global technology gap. Discussions will take place on the ethical use of AI and a different approach to this topic by countries will affect the political relationships.
7. Rise of pervasive and useful AI assistants
Already we have seen the rise of AI assistants like Amazon’s Alexa and Apple’s Siri. Google also had ventured into this space with Duplex that can call and book appointments on behalf of the users. In 2019, more sophisticated AI assistants with advanced capabilities will be developed. The collection of more behavioral data and advances in speech recognition and natural language processing will lead to smoother and useful interactions between humans and machines.
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