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12 Impact of Artificial Intelligence on Mobile App Development

Xicom

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

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The death of identity: Knowing your customer in the age of data privacy

TechCrunch

While these developments threaten to upend how digital marketing is performed today, they signal a necessary, and effective, shift in the ways brands will understand their customers in the future. Moreover, Apple’s privacy implementations in iOS 14.8 Brands don’t need to know who; they need to know what and why.

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Radar trends to watch: September 2020

O'Reilly Media - Ideas

There is serious talk of a “ Deep Learning recession ” due, among other things, to a collapse in job postings. An excellent analysis of participation in machine learning: how it is used, and how it could be used to build fair systems and mitigate power imbalances. Short-term effect of COVID or long term trend?

Trends 134
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Exploring AI solutions enhancing productivity and cost savings

Agile Engine

Plus, these tools streamline collaboration among development teams, providing consistent suggestions and reducing the time spent on code review and debugging. In the meantime, solutions like Applitools and Code Intelligence use AI to augment testing automation, accelerating software quality assurance.

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N2Growth Helps Businesses Combine Strategy & Innovation for a Consumer-First Approach to Digital Transformation

N2Growth Blog

The combination of all of this explosive new data, new technology, new consumer expectations, and time compression all creates the need for companies to be more innovative than in the past — and to create a sustainable culture of innovation,” Jean-Louis said. We are known for our executive coaching practice.