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Powering Corporate Innovation in Finance: Industry Insights

Qmarkets

We often hear about sectors ‘facing disruption’, but few industries today are experiencing it at the same level as the finance industry. Fintech startups are changing the face of finance with new technologies that are making banking easier, faster, and more intuitive. Fintech doesn’t simply offer new features, it represents change.

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Exploring High-Growth Opportunities in Software Engineering

Tullio Siragusa

The software industry is constantly evolving, and there are always new technologies and programming languages to learn, such as cloud computing, AI, blockchain, and machine learning. The global cloud computing market is expected to reach $832 billion by 2023, according to a report by MarketsandMarkets.

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The future of creative AI in innovation: revolutionizing industries

Board of Innovation

From healthcare and finance to transportation and manufacturing, AI is reshaping the way we work and live. With machine learning algorithms and predictive analytics, AI systems can analyze vast amounts of data, identify patterns, and make informed decisions with minimal human intervention.

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The Top 5 Technology Trends That Will Drive Innovation in 2018

hackerearth

Each of these technologies impact multiple functions within a company and influence different industries differently: Artificial Intelligence. Machine Learning. Artificial Intelligence. Machine Learning. Let’s look at how top technology trends are expected to drive innovation in 2018.

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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

Combined with machine learning and advanced analytics, AI allows smart factories to evaluate data, forecast outcomes and failures, control downtimes and maximize output. Adaptive production To achieve adaptive production, AI and machine learning algorithms can analyse data from IoT devices and sensors in real time.

Data 52
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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

Combined with machine learning and advanced analytics, AI allows smart factories to evaluate data, forecast outcomes and failures, control downtimes and maximize output. Adaptive production To achieve adaptive production, AI and machine learning algorithms can analyse data from IoT devices and sensors in real time.

Data 52
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Aussies Tackle Antibiotic Resistance

IdeaSpies

As the Ad hoc Interagency Coordination Group on Antimicrobial Resistance stated in their report to the Secretary-General of the United Nations in April 2019, “there is no time to wait. Although in its infancy, this project’s vision is to create a worldwide artificial intelligence-powered network for AMR surveillance and mitigation.