AI struggles to write a good jingle. You'd be forgiven if you can't hum the 18th-century Cumbrian folk song "Do Ye Ken John Peel." But in 1942, a version of that tune, reworked with lyrics about Pepsi-Cola, was the most recognized melody in America. Three years earlier, two men walked into the office of Pepsi-Cola's president, carrying a phonograph. They played a demo of what would become one of America's earliest advertising jingles.

Liberty Mutual is one of the most experienced and advanced cloud adopters in the nation. And that is in no small part thanks to the vision of James McGlennon, who in his role as CIO of Liberty Mutual for past 17 years has led the charge to the cloud, analytics, and AI with a budget north of $2 billion. Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a "technology manifesto document" that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company's digital transformation. Today, Liberty Mutual, which has 45,000 employees across 29 countries, has a robust hybrid cloud infrastructure built primarily on Amazon Web Services but with specific uses of Microsoft Azure and, lesser so, Google Cloud Platform. Liberty Mutual's cloud infrastructure runs an array of business applications and analytics dashboards that yield real-time insights and predictions, as well as machine learning models that streamline claims processing.

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.

If you work for a big company, you know how frustrating it can be to keep track of all the different systems and applications you need to do your job. Where do you go for your expense reports, your performance review, your GDPR compliance training, your open enrollment? What if you haven't been to that particular application in several months and don't remember your password? Do you have to go to a different application or maybe open a service ticket with IT to reset your password for the first application? How many hours have you wasted navigating to the right places and figuring out again how they work?

The insurance industry is a competitive sector representing an estimated $507 billion or 2.7 percent of the US Gross Domestic Product. As customers become increasingly selective about tailoring their insurance purchases to their unique needs, leading insurers are exploring how machine learning (ML) can improve business operations and customer satisfaction. The greatest opportunities seem to lie, perhaps unsurprisingly, in claims and underwriting. No other sources have taken a comprehensive look at the impact of AI among the leading insurance companies in the U.S. We researched this sector in depth to help answer questions business leaders are asking today: This article aims to present a comprehensive look at the four leading insurance companies and their use of AI. Our "top 4" rankings are based on the National Association of Insurance Commissioners' 2016 ranking of the top 25 insurance companies.

I tend to focus more on technology trends and domains, than specific technologies. Like many of my peers, I'm excited by the opportunity to have our applications run in an environment that is more resilient, has on-demand access to massive amounts of computing power and storage, and of course, the elastic, usage-based model that should drive lower costs. All that said, I need to be pragmatic about our journey, and be sure that we truly realize all these benefits. Yes, "digital transformation" has been overused and diluted by executives and consultants to represent all aspects of digitalization in every facet of a business. But, when you study it, without bias or agendas, an important trend in business modernization is taking shape.

I tend to focus more on technology trends and domains, than specific technologies. Like many of my peers, I'm excited by the opportunity to have our applications run in an environment that is more resilient, has on-demand access to massive amounts of computing power and storage, and of course, the elastic, usage-based model that should drive lower costs. All that said, I need to be pragmatic about our journey, and be sure that we truly realize all these benefits. Yes, "digital transformation" has been overused and diluted by executives and consultants to represent all aspects of digitalization in every facet of a business. But, when you study it, without bias or agendas, an important trend in business modernization is taking shape.

The buzzy term you see everywhere that's supposed to be taking over everything from cosmetics to dating to body parts to stuff you put on your eye. You don't want it, but you need it if you drive. Otherwise you'll be left on the side of the race track (aka the street) with a disconnected bumper that you have to pay full price to fix, and potentially, your victim's ruined Maserati which you will also have to pay out-of-pocket to repair. Auto insurance is also required by 48 states and the District of Columbia. So you do need to insure your ride to make sure you don't end up in the clink or worse, have to pay a fine.

Unmanned aerial vehicles (UAVs), more commonly known as drones, are growing at a rapid rate for both consumer and professional markets. Market research firm IHS Markit forecasts the professional drone market will manage a compound annual growth rate (CAGR) of 77.1% through 2020 driven by industries such as agriculture, energy and construction using the technology for surveying, mapping, planning and more. Meanwhile, the consumer drone market will maintain a CAGR of 22.1% through 2020 with companies such as DJI, Parrot and 3D Robotics driving the market with a wide range of devices for photography, recreational use and racing. While these markets will be the main drivers for the next few years, one industry that isn't discussed often as a main driver is the insurance market. However, according to professional services company PwC, the addressable market of drone powered solutions in the insurance industry is valued at $6.8 billion.

The iPhone was like a Palm Treo or Blackberry smartphone but better. Netflix rented DVDs like Blockbuster but better. Laptops are just better desktop computers. What Volvo is doing is a better lease -- and it has the potential to change how we look at car ownership. Although we're inching closer to a future in which autonomous cars are commonplace, the way we actually own cars hasn't changed much.