The digital technology is transforming the lives of people by expanding the daily capabilities and disrupting our daily functioning. The code-driven systems are combined with human life and in many places, the system has taken over from humans. Some functions of human have become redundant due to the code-driven models controlling the function making the human brain replace those functions. As the emerging technologies are offering better opportunities to people along with the algorithm-driven models that replicate human performance better and on a wider scale it would be important to see how human society perceives the technology. Many technology innovators, developers, business leaders, and policymakers discussed how the Algorithm driven-model or Artificial Intelligence (AI) would be impacting the dynamics of society. The experts predicted that networked Artificial Intelligence (AI) will be amplifying human effectiveness but will also be threatening human capabilities and autonomy. The wide-range of capacity that AI offers will be matching human intelligence or even exceeding in some cases. Artificial Intelligence (AI) models are currently being trained for better decision making, reasoning, and learning. The smart kinds of AI are being applied in the system and are still under the testing phase.
Five Trends In Artificial Intelligence (AI) That Enterprises Are Expecting In 2019 To Disrupt The Market:
1. Adoption of AI-powered Chips:
AI is reaching implementation and learning stage for many industries. AI requires specialized processors that can be implemented along with currently working CPU, though many currently used processors may not be able to handle the AI models. The performance and speed would be the key factors for large-scale adoption of AI and for chip makers it’s a next big challenge. Chip makers such as an Intel, NVIDIA, AMD, Qualcomm, and ARM will be shifting towards specialized chips that can handle functionaries for AI-based performance. Many predict that the chips would be made for specific use cases and scenarios initially to test the viability of AI applications. For AI developers, the application requires a set of hardware and chips, different from the commonly available sets this would be a major drawback in the adoption of AI.
2. Automating the DevOps:
The modern applications and infrastructure are generating a huge amount of log data. The data set is generated from different devices, operating system, and applications. The sets of data can be analyzed, and different insights along with patterns can be generated. The Artificial Intelligence model is applied to these data sets that can develop a workflow for the IT operations that can be predictive rather than reactive. The power of AI is applied to operations redefining the infrastructure. The DevOps delivers intelligence to organizations but shifting to AIOps it will automate the reporting and creation of the insights for the same. The operations team will be able to perform the root analysis of different situations without affecting the actual function. AIOps will become of the main applications of AI by 2019.
3. Automation in Machine learning:
Automation in machine learning will change the face of ML-based solutions. Business analysts and developers work today focusing on creating manual models to address complex situations. With AutoML the developers can focus on the precise business model rather than creating the model workflow and process. AutoML can fit perfectly in the cognitive API and Custom MLS delivering the perfect customization for the developers according to the needs.
4. Cyber Defense:
Cloud adoption will increase many folds in 2019 and so is the sensitive data on the cloud. The main targets of the attacks are mostly Software as a Service (SaaS), cloud infrastructure and IoT applications that are currently being accessed through different mobile devices. By 2019, AI will be effectively able to filter out the threat links and prevent them from accessing sensitive information. The demand for Cyber defense is huge, and that will also fuel the current surroundings of AI for cyber defense.
5. Human expertise for AI:
Artificial Intelligence would become intelligent but requiring human decision making to adapt to certain conditions. AI will place a lot of responsibilities on the human factor for making correct and precise decisions without faltering during development. Human expertise will drive the development and also require human intelligence to create a better solution using AI.
Artificial Intelligence will transform the way we perceive technology in 2019. It will also have a major impact on the enterprises that adopt Artificial Intelligence as technology or Artificial Intelligence as the next step towards the different domain of technology.
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