662 Marketing Trends found for Techno-Trends

All data sources are attributed with links to the original insight. The insight is then summarised and, where appropriate, enhanced with additional information.

All data sources are attributed with links to the original insight. The insight is then summarised and, where appropriate, enhanced with additional information.

All data sources are attributed with links to the original insight. The insight is then summarised and, where appropriate, enhanced with additional information.

... the company's impression-level verification. MediaMath also claims this will present “the highest probability of viewability".

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All data sources are attributed with links to the original insight. The insight is then summarised and, where appropriate, enhanced with additional information.

...  growth and a digital mindset to almost every aspect of the sports business.

Among the areas likely to be most affected are content and partnering with broadcasters and new digital-forward distribution companies.

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... viewed for a meagre 1.7 seconds.

While these challenges may seem insurmountable, there is a silver lining on the horizon, given that personalisation, optimisation and measurement—have the potential to make advertising more effective than ever before.

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All data sources are attributed with links to the original insight. The insight is then summarised and, where appropriate, enhanced with additional information.

... expanding AI and machine learning in 2018.

Capgemini estimates that five percent of enterprises using AI and machine learning enhance customer satisfaction by more than 10%, while three in four organisations implementing AI and machine learning increase sales of new products and services by over 10%.

Moreover in 2018 circa 75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10% while three in four organisations implementing AI and machine learning increase sales of new products and services by more than 10%.

Capgemini also identified key technologies that fall under the AI umbrella such as language learning, measurement of human characteristics, analysis of image and video content and digital assistants.

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... you’ll need to buy.

The fridge tells you what’s inside and you place your order and start focusing on cleaning, telling your your Google Home to pick a cooking playlist while you enjoy the few minutes of reprieve, knowing that soon your groceries will arrive via drone delivery.

This is the world of the smart home – a world of incredible convenience and connectivity. These innovations set us free to do what we really want and need to do – work, play, relax, socialise – and reduce the tedious time spent on chores and errands.  

As exciting as these changes are, they’re just the beginning. This same desire for convenience and connectivity is driving the global push for smart communities – cities and towns powered by data analytics and the Internet of Things.

Using artificial intelligence, sensors and automation, they will maximize productivity, streamline and strengthen public services and increase sustainability for citizens, communities and companies alike. And they’re coming soon – according to research from the Consumer Technology Association, the global smart city market will be worth more than $34.35bn come 2020.

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... a more consistent UI experience. 

Specifically, Twitter is using a technique called "knowledge distillation" to train a smaller network to imitate the shower but via a more powerful network that enables an ensemble of large networks to generate predictions on a set of images. These predictions, together with some third-party data, are then used to train a smaller, faster network.

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All data sources are attributed with links to the original insight. The insight is then summarised and, where appropriate, enhanced with additional information.

... communications.

Added Mr Rangaiah: "We are particularly interested in blockchain's potential to solve many of the issues facing programmatic buying today."

By design, blockchains are inherently resistant to modification of the data. Once recorded, the data in any given block cannot be altered retroactively without the alteration of all subsequent blocks and the collusion of the network. Functionally, a blockchain can serve as "an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way. The ledger itself can also be programmed to trigger transactions automatically."

A blockchain is typically managed by a peer-to-peer network collectively adhering to a protocol for validating new blocks. By design, blockchains are inherently resistant to modification of the data. Once recorded, the data in any given block cannot be altered retroactively without the alteration of all subsequent blocks and the collusion of the network

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All data sources are attributed with links to the original insight. The insight is then summarised and, where appropriate, enhanced with additional information.