This year, my first post of the year is written from New Delhi, India. I wish you all a very happy new year. The year 2017 was really an exciting year for the artificial intelligence industry, where it came out as an explosion and we saw millions of articles, blog posts, and data science professionals emerge. Self-driving cars had been a myth, but now they are very much a reality, the adoption of which can be seen by governments throughout the world. The year 2018 will be the year of the great reckoning.
The year 1956, when “artificial intelligence” was coined, got its place in history, and now the year 2018 will make people forget everything of the past and will attain a much higher level of respect for AI. As soon as it works, no one will call it AI anymore. In short, the 1956 Year of AI will be rewritten as the 2018 Year of AI and IA, and AI integration with web and mobile apps will lead the trend chart. What this means is that once upon a time, “technology like the photo library on our smartphone would have once been considered AI; now it’s just the norm.”
Artificial intelligence is no longer just an evolving nomenclature in technology. AI would become just a computer inside the robot, another piece of software, or a brain sitting outside a human body. Sadly, until now, AI has been an overhyped term in the past year or so. Many technology companies and even some non-tech companies choose to claim their products and services use some form of AI, even though saying so is quite a stretch. Human challenges are characterized by extreme complexity, from climate change to feeding and providing healthcare for an ever-expanding global population. What will AI bring in 2018 for these problems?
The time has come when artificial intelligence will be closer to you (the best of all times) and will be part of your everyday life for almost everything. More recently, however, AI has broken away from the hypothetical and into real-world business solutions. Jokes like “Don’t you have a natural one as a comment in response to the answer “I do, artificial intelligence will no longer make sense”. We will see data-driven machines give humanized support and help. 2017 already laid the foundation for faster and smarter AI in 2018.
What can we expect from artificial intelligence in 2018? It’s very easy and difficult to answer at the same time. Read on in this post for the artificial intelligence trends we’ll see in 2018. We used to think artificial intelligence was a silly sci-fi concept, but when you really look into it, it seems like it’s been slowly encroaching into most areas of everyday life! Fortunately, developments in AI could play an innovative role in helping us address these problems.
The year 2018 will be known as the year of artificial intelligence and intelligence augmentation, for sure (in my personal opinion). AI usage in fintech will augment fintech intelligence’s all-time best. FinTech intelligence will boost payment intelligence, threat intelligence, and information security vulnerability hunting. Artificial Intelligence is anyway doing everything at its best already in today’s time. AI is cutting across all domains, right from creating artwork, fighting cancer, melting down information security threats, reinventing banking and fintech, and in short, disrupting world economics.
Combining the latest technology of artificial intelligence, predictive analytics, and cognitive messaging to serve millions of customers will be the smartest, most innovative, and most winning strategy! AI and regulation will pave the way for fintech intelligence. Artificial intelligence will be the new factor of production, and it will demonstrate the conceivable potential to introduce new sources of growth by reinventing the business in place, changing how work is done, and reinforcing the role of people to drive growth in business.
Artificial Intelligence will create the best payment intelligence (PI) system at the national level, which can bring the whole nation together, secure it, and clean up the underground and street economies. Imagine a scenario like this: “You walk into a shopping mall and get a text message that reads “Walk on to the 3rd floor to buy your favorite brand of clothes and get a 20% discount”. Because it’s the 25th of the month and you got paid, meaning you have money.
So here merchants, banks, employers, telephony service providers, credit service providers, and many others are all connected to the PI system, so this kind of system can generate business. At the same time, once you fall short, the system can offer a micro credit of $10 to $500, depending on your credit rating, and charge you 10–20% interest for a 3-month period (80% over 12 months), and you won’t even mind or realize it.
FinTech will be known as the best financial system model with the help of AI. In one way or another, AI will create applications of any computer-enabled algorithm that can be applied against a data set to find a pattern in the data. Because of this, new wild and flashy AI systems that are making FinTech‘s smart systems smarter can help them fly.
Not surprisingly, these companies each have a clear market application and reduce friction in the business problems they address. Fintech’s Artificial Intelligence Revolution is a perfect example of the era of pervasive AI financial technology services and will also support medical research, diagnosis, and treatments. As a FinTech professional, I would say the biggest change or support through AI will be in the areas of payments intelligence and fraud intelligence. AI and AI subfields are embedded in how we sift through large volumes of data and content and how we enhance, organize, connect, and deliver content and information. Intelligent things will be the trend or a simple norm, as given.
If you are a frequent online shopper, your experience will go thousands of times better, and you will no longer get recommendations for coffee makers if you are searching for business outfits. The era of machine learning will improve substantially, and eventually e-commerce will be more interactive and intuitive. In the information industry, AI and machine learning are already driving innovation and transformation. They are the engines underlying many of our products and services. AI in 2018 would be in the digital marketing field, which is already in a dynamically evolving phase.
AI will Boost info security through behavioral biometric intelligence
- With account takeovers and mobile fraud growing by leaps and bounds, the need to move beyond password protection and two-factor authentication has never been greater. Hackers routinely find ways to steal personally identifiable information (PII).
- The software that runs our electrical grids, security cameras, and cell phones is plagued by security flaws. We shouldn’t expect software for self-driving cars and domestic robots to be any different. It may in fact be worse: There’s evidence that the complexity of machine-learning software introduces new avenues of attack.
- Behavioral biometrics presents a fairly new approach to monitoring and scoring customer and device interactions during transactions.
- Voice biometrics have been attempted to combine with AI in a bid to directly communicate with chatbots up to an emotional level of understanding. There will be a surge in AI-based chatbots.
- This could probably reduce the need for human operators in call centres in the future while protecting employee-perpetrated data leaks.
- Companies in the fintech industry will find multiple opportunities to enhance lending decisions, such as how to optimize financial advice or execute better trading decisions.
- We will see more and more AI-based hardware produced and in demand, especially by new startups trying to disrupt the industry. “Starting the same business with a difference, which will be AI”.
AI could also help improve the algorithms to create optimal financial advice. 2018 is the year in which we’re forced to decide what we want from technology and what irreducible parts of our humanity we want to safeguard and protect. Artificial Intelligence will impact human jobs, which is debatable, and in my personal opinion, it will force people to change and upgrade their skills before they themselves get replaced. Forrester predicts that cognitive technologies (ML, automation, robots, etc.) will replace 7% of US jobs by 2025.
Conclusion: For artificial intelligence, 2018 will go much beyond just graduating board games. Machines would be much better than ever at working with text and images. Will have a much better ability to take out sentiments from text and images and respond accordingly. That’s why DeepMind and Facebook both started working on the multiplayer video game StarCraft in 2017. Neither have yet gotten very far. In 2018, AI will aim to give machines the kind of grounding in common sense and the physical world that underpins our own thinking. Consumers will be able to perform complex transactions, such as making purchases and payments or transferring funds, without the need to type a single character.
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