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Banking & Finance

Make Lemonade Out of Lemonade - Insurance Thought Leadership


Lemonade's recent glitch sheds light on public fears about AI -- and about what must be done to keep AI innovation from slowing. Being a disruptor is hard. It requires taking disproportionate risks, pushing the status quo and -- more often than not -- hitting speed bumps. Recently, Lemonade hit a speed bump in their journey as a visible disruptor and innovator in the insurance industry. I am not privy to any details or knowledge about the case or what Lemonade is or isn't doing, but the Twitter event and public dialogue that built up to this moment brings forward some reflections and opportunities every carrier should pause to consider.

The Future of Artificial intelligence: Pavan Reddy Appakonda


As AI advances and becomes more powerful, its impact on the global economy will grow significantly more prominent. It will dramatically impact virtually every aspect of the world economy, ranging from unemployment rates to economic growth, productivity, and income inequality, says Pavan, popularly known as Entrepreneur, Software Engineer and Investor. However, how exactly does AI impact the business world? How can artificial intelligence assist your business in growing? I could tell the most remarkable benefits of Artificial Intelligence that are helping to reshape the world that we know of today.

Artificial intelligence: The future of businesses


The future belongs to intelligent automation. With that said, organizations adopting artificial intelligence (AI) or giving it a top priority in their digital transformation initiatives will be the leaders for tomorrow. AI adoption comes with its own set of challenges and opportunities. One of the most common misnomers of AI adoption is that it poses a threat to jobs, which cannot be farther from the truth. It's time for organizations to embrace AI as "machines for humans" instead of "humans vs. machines." AI can be used to perform specific tasks that generally require human intelligence.

AI, machine learning may be key to further insurance digital transformation


The pandemic has pushed IT departments to adapt quickly to various challenges. A new report, IT's Changing Mandate in an Age of Disruption, suggests that to continue with various digital transformations and increase adaptability for the future some IT improvements must be made. For the insurance industry, artificial intelligence and machine learning may be key, according to the report, which was conducted by the Economist Intelligence Unit, supported by Appian, an enterprise software company. The report includes information from two surveys, conducted in May and June of this year, and responses from 1,002 IT and senior business executives, who worked across six different sectors including financial services and insurance and were from nine countries. Forty-one percent of respondents from the insurance industry said expanding the use of AI and machine learning is the most impactful way that technology can help organizations respond to potential changes.

3 Explosive Growth Stocks to Buy Hand Over Fist for the Next 10 Years


The dawn of the internet changed the business world forever. It created an opportunity for the smallest of merchants to reach the furthest corners of the globe, and for large corporations, it redefined what it means to be multinational. Artificial intelligence offers an expansion of the digital revolution, with the capability to rapidly complete tasks once impossible without significant amounts of human input. Capturing this in your portfolio might be crucial to outsize returns over the next decade, and our Motley Fool contributors think Upstart Holdings (NASDAQ:UPST), CrowdStrike Holdings (NASDAQ:CRWD), and UiPath (NYSE:PATH) could be among the most explosive ways to do it. Anthony Di Pizio (Upstart): Most consumers are familiar with the FICO scoring system.

How Tycoons Created the Dinosaur - Issue 107: The Edge


The dinosaur is a chimera. Some parts of this complex assemblage are the result of biological evolution. But others are products of human ingenuity, constructed by artists, scientists, and technicians in a laborious process that stretches from the dig site to the naturalist's study and the museum's preparation lab. The mounted skeletons that have become such a staple of natural history museums most closely resemble mixed media sculptures, having been cobbled together from a large number of disparate elements that include plaster, steel, and paint, in addition to fossilized bone. When standing before one of these towering creatures, such as the T. rex skeleton named Sue in Chicago's Field Museum of Natural History, it is surprisingly difficult to distinguish which features are ancient and which ones are modern, where prehistory ends and imagination begins. If dinosaurs in museums are chimeras, their prehistoric antecedents are unobservable entities. In this respect, dinosaurs resemble subatomic particles like electrons, neutrons, and positrons. Both are inaccessible to direct observation, but for different reasons.

Data Science in Crypto


Under the hood of every cryptocurrency protocol, we will always find that Blockchain Technology is the engine that allows it to keep running. If we trace back the technologies that made its application possible, we will find that the science behind it has been around for decades, and only just recently became ubiquitous. Gradual changes over the last couple of decades contributed to the recent uptake of cryptocurrencies. More and more companies are now able to collect increasingly larger amounts of data. All that data was just lying there, like gasoline waiting for the spark that would transform it into valuable, usable information with real-world applications.

Brainstorming AI


Far from the stuff of fantasy, artificial intelligence (AI) has become an integral part of our lives. Even the most tech-adverse among us use AI, perhaps unknowingly, when we type a query into Google or plug in GPS. Those who embrace technology, on the other hand, actively look for ways AI can improve their work and personal lives. Though it seems AI is a new phenomenon, the technology has been around since 1956. While AI's popularity has waxed and waned, it gained legitimacy in the 1990s and 2000s when a chess computer program beat the grand chess master Garry Kasparov and speech recognition software was installed on Windows.

Meet The Fintech Innovators Using AI To Reimagine The Financial Sector


The world of finance, as we know it, is changing. From new currencies to new possibilities in trade, innovation has been unlocked with a single key: artificial intelligence. Almost all new approaches to managing money have AI in their DNA. Globally, the AI financial technology (fintech) market is forecast to reach $22.6 billion by the year 2025. AI is key to fundamentally changing the way people interact with and use money.

How AI makes financial services secure, reliable


Artificial Intelligence (AI) in finance is transforming the way we interact with money. In the financial industry, AI helps streamline and optimise several processes, ranging from credit decisions to quantitative trading and financial risk management. With the evolving use of AI in various financial transactions, we are now receiving a much faster paced and accurate system of handling our money than ever before. With advanced fraud detection and prevention mechanisms, each layer is accountable for the usage of advanced AI technology. In addition to protection and privacy assured to each layer of a transaction, the system is also PCI- DSS compliant.