AI (Artificial Intelligence) won't just start appearing one day like an all-knowing computer Genie in a lamp-shaped cloud, but you'll be surprised and amazed at how it is currently and will continue to surface in subtle ways that will change many things including entire industries and how you buy their products and services. Some things we have to purchase to survive in the modern world take research, study, and comparison and are generally hard to get good, accurate, and relevant information on so we end up picking arbitrarily or by copying what people we know did. I'm looking at your auto insurance, cell service, automobiles, and computers to name a few. AI won't be one big thing in our lives, it will be thousands of little things. They won't usually manifest themselves in an all-powerful central role like Alexa or Siri, they will be an invisible army of nameless extras hardly noticeable in the background and yet essential to almost every scene of our lives.

We are witnessing an exciting time in the automotive industry. As innovation is reaching new heights with connected and autonomous vehicles, the auto insurance industry is also experiencing its own evolution, using technology to enhance the way road accidents and damages are handled, saving people time and money and improving the often stressful experiences of handling the aftermath of accidents. A transformation is badly needed in the insurance industry. In addition to poor customer experiences when making claims, some $25 billion goes unaccounted for each year due to adjuster costs, fraud, delays in repair shops and more. Innovation can change that -- and it is already starting to.

The phrase "asleep at the wheel" could soon lose all meaning as Tesla and other automakers push self-driving cars closer to reality. CEO Elon Musk says select Tesla drivers could get their hands on "full self-driving" software as early as Oct. 9. The upgrade won't make the cars truly autonomous, but Musk dreams that one day people will safely fall asleep on their way home in a Tesla. That raises an obvious question: If a self-driving car does crash while you're snoozing, what happens? The answer could radically disrupt the insurance industry, potentially making some forms of auto insurance obsolete and saving drivers hundreds of dollars a year. We're still years away from driverless cars speeding down the freeway, but simple automation is already present in many vehicles today.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. This article was written by Kea Goins, a Marketing Coordinator at Valkyrie. From maximizing advertisement relevance to customizing user experience, the benefits of applied sciences and advanced data analytics have become more apparent as industries adopt data-driven approaches to create new competitive advantages. In this article, we focus on companies in the insurance industry that are implementing applications of data science to deliver efficient, risk-adjusted solutions by detecting fraudulent activity and providing a personalized customer experience. The best place to start is by looking at some of the technological trends being used by insurance companies today.

In the wake of the innovation called driverless cars, we looked into how driverless cars will impact the auto insurance industry. Technology has proven to be one of the blessings that are sharpening humanity and our existence. There is so much ease in the dispensation of our day-to-day activity and it is all thanks to the advance in technology we have enjoyed in recent times. The processes involved in carrying out some actions have been greatly eased and life is becoming less stressful. One of the many advances in technology that is being recorded in the 21st century is the manufacturing of driverless cars.

We've been led to believe that A.I. is going to solve all of our problems - economically, socially, environmentally. It stretches credulity that it can do that when all it does is find patterns in numbers. But what it is capable of - in that limited role - is dangerous. Nevertheless, A.I.'s inevitability, predicted by industry, academics, and industry analysts, goes without question. That the issues of bias, exclusion, and disinformation are social problems that cannot be addressed with pattern-matching and curve fitting, and cannot satisfactorily be dealt with by technology is a strength, not a weakness of the inevitability narrative.

Almost most of the major automakers are developing autonomous cars of some kind. Some, like Tesla's Autopilot and Google's Waymo, already are in use, though they're maybe not fully autonomous yet. Tesla and Waymo, like so many other automakers in the autonomous car race, remain ironing out the kinks. In the meantime, one of the biggest debates surrounding driverless cars is how they'll impact the insurance industry. If human error causes virtually all car accidents, then in theory, self-driving cars would be the solution.

In 1680, Edward Lloyd arrived in London. He was 32 years old and hunting for opportunity. He found one in coffee. Fueled by this then novel beverage, London's coffeehouse scene was exploding. Over three thousand java shops were already scattered throughout the city. Was the marketplace too crowded for another competitor?

The insurance, transportation, and retail industries will either not exist in 20 years or will have changed completely due to artificial intelligence (AI), innovation, and other factors, according to Dave Jordan, global head, consulting and services integration at Tata Consultancy Services (TCS). "AI plays a considerable role in removing friction from our current experiences with both mobility and shopping,'' Jordan said. "Over the next several years, AI will combine with … building-block technologies to enable a mobility and a maker ecosystem that absorb these three industries." SEE: Special feature: Autonomous vehicles and the enterprise (free PDF) (TechRepublic) Jordan provided examples of the ways TCS' futurists see each of these industries becoming absorbed into broader, horizontal ecosystems. Insurance is either absorbed as a value-added piece of ecosystems, or the need simply goes away. "As autonomous vehicles become ubiquitous, there will be dramatically fewer traffic accidents, reducing or eliminating the need for auto insurance,'' Jordan said.

It is not news that, for all its promised benefits, artificial intelligence has a bias problem. Concerns regarding racial or gender bias in AI have arisen in applications as varied as hiring, policing, judicial sentencing, and financial services. If this extraordinary technology is going to reach its full potential, addressing bias will need to be a top priority. With that in mind, here are four key challenges that AI developers, users, and policymakers can keep in mind as we work to create a healthy AI ecosystem. We live in a world awash in data.