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Digitisation is the process of converting information from a physical format to digital one, digitalisation is the process of leveraging digitisation to improve business processes, and digital transformation is the transformation of business activities, processes, products, and models to fully leverage the opportunities of digital technologies.  Let us explain you in detail the differences between these terms and provide you with examples.
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Digital transformation fundamentally reimagines how companies operate. It’s not about using digital technologies in a specific business case, but rather embedding digital capabilities all across the organization.
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The insurance industry has always relied on data to calculate risk and come up with personalized ratings. Today, the sector is undergoing a profound digital transformation thanks to technologies such as machine learning.  Insurers are using machine learning to increase their operational efficiency, boost customer service, and even detect fraud. And there is a plethora of insurtech startups, eager to take a slice of an insurance industry. Here are 6 ways machine learning is transforming the insurance industry. ---------------------------------------------------------------------------------------- Note: this post has been updated, to reflect the progress of new technologies and business moves by companies mentioned in the article.  ----------------------------------------------------------------------------------------
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I have recently stumbled upon an article reporting that Facebook is using Artificial Intelligence to fight “revenge porn” - a phenomenon of sharing intimate photos on social networks without people’s permission. This is one of the downsides of the development of new technologies and social networks. This great TED talk from one of the victims explains why it is a serious problem that needs strong measures.
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Machine learning brings a wide range of new possibilities to nearly all industries. A number of tasks that can be automated or improved with machine learning-based algorithms is growing day to day. Let’s dive deeper and try to establish factors that enable a specific task to be improved with ML, so we can understand better how your business and processes can leverage artificial intelligence.
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The final success of each and every business or project comes down to selling. It has always been like this, but nowadays - when we’re able to get ahold of massive amounts of data about our customers - it is just easier to focus on building relationships with them, and then make the most of this in terms of sales.
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Some companies fail in their digital transformation efforts. Why? Most of them didn't develop digital transformation good habits. What are those habits, how to apply them, and why are they so important? If you want to start a true digital transformation and avoid some pitfalls, you need to know a few important things.
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Chatbots are all the rage right now, and they're not going anywhere. Consumers expect to interact with brands with the help of many different channels, and chat is one of them. But chat-based communication presents companies with a brand new challenge: speed.
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Together with the rise of user-based insurance (UBI) policies, telematics is one of the digital innovations bound to have a massive impact on the insurance industry.
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One of the major European banks has recently admitted that it has failed to spot money laundering in its books for years. As a result, the bank has agreed to pay $900 million in a settlement with prosecutors. While it was a man (the CFO) who stepped down for this negligence, would a machine (Machine Learning) be a better guardian to prevent such situations in the future?
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