Top 5 AI Trends - DevTrends
What you need to know in AI as a developer.
Welcome to DevTrends.tech - Episode #003.
AI (Artificial Intelligence) has taken over the tech marketplace over the past years and will continue to dominate in 2020 and beyond. The possibilities of AI are innumerable and beyond the scope of our imagination. AI would be the bedrock of the era of connected mobility, automation, and Industry 4.0, powering everything from analytics, decision-making, agriculture, logistics, to construction, aerospace, and robotics. The global AI market is expected to reach $ 118.6 billion by 2025, and the intense rivalry between the US and China in the arena of AI is fast gaining momentum.
With that being said, there no doubt needs to be a newsletter completely on AI alone. Here it is.
Let’s dive in.
Top 5 Trends in AI
1. Evolution of robotization
A legion of robots is bound to take over more and more assembly worker jobs over the next years. There is no questioning that as it is already happening and many logistics companies are working on ‘dark’ warehouses. Dark warehouses will be fulfillment centers with NO one there. Lights off and the warehouse will run itself with the help of AI. The machines will be able to fix their own errors, and workers will only be present for maintenance and true issues only a human can fix.
What’s however new is that robots that were hitherto only employed for manual and tedious tasks would now begin to take on semi-skilled and skilled work as well: filling forms, creating reports, and more. More companies are looking at complete automation by training machines to do the requisite task. In Japan, by 2025, more than 80% of elderly care would be done by robots, not caregivers.
This will not only increase efficiency but also give us ample time and energy to focus only on core tasks that require human intelligence.
2. Data access enabling ubiquity
Data may or may not be the new oil, but it is certainly fueling and fortifying AI and making it more versatile. What often hinders the transition to AI-powered automated decision making is the lack of accurate and reliable information. This has streamlined processes, slashed costs, improved research capabilities, and also allowed for gaining accurate data and information in the test phase.
For instance, developers of autonomous vehicle software can get access to uncountable hours of driving data without even the vehicle hitting the street. There would be a drastic increase in the use of AI for accurate real-world simulations.
3. Enhanced customization
The increasing use of AI-based applications in every field, coupled with advances in location intelligence, will augment the capacity for offering more refined personalized services.
Real-time data and all-pervasive location intelligence has mainstreamed customized services in almost every field, from urban mobility to online marketplaces. With soaring customer expectations, companies need to provide more personalized and relevant services to retain customer base and remain relevant.
4. Boosting Cybersecurity
Mounting concerns about data privacy and security breach have also lead to questions being raised about the security preparedness in the age of AI and IoT. It is estimated that by 2020 over 24 billion devices connected to the internet would be installed. The number of connected devices used in households is predicted to increase from 9 devices per household currently to 500 by 2022, as per the research house Gartner.
5. AI complementing humans
Bill Gates, Microsoft founder, and philanthropist said last year that AI can be our friend and be beneficial for society. AI won’t compete or supersede humans. Nor would there be a ‘rise of machines’ like ominous scenario. While a lot of jobs would be lost due to AI, many others would be created and human but capacities enhanced with the help of real-time data analytics.
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Questions? This was a ton of information this week. If you have questions or comments, reply to 📥 firstname.lastname@example.org 📥 and I will get back with you!