Artificial Intelligence
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8 factors shaping the future of big data, machine learning and AI
AI and machine learning combined with ever-increasing amounts of data are changing our commercial and social landscapes. A number of themes and issues are emerging within these sectors that CIOs need to be aware of.
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How AI is revolutionizing financial services
From customer service to risk management, artificial intelligence is ushering in the next financial revolution — as long as compliance issues can be addressed.
5 reasons data science belongs in the cloud
Why laptop-hugging data scientists and server-hugging machine learning practitioners should consider letting go
How AI is changing office suites
New and upcoming artificial intelligence features in G Suite, Microsoft Office and office suites can boost workers’ productivity and provide business insights, but they could carry hidden costs, say experts.
Robotic process automation is on the rise
When it comes to business process management, the drive for efficiency is king. Enter RPA to help streamline legacy processes.
The future of big data and AI boils down to one thing
When it comes to big data, analytics and AI, the value does not come from collecting the data, or even from deriving some insight from it — value comes from just one thing: action.
The biggest AI startup deals of 2018
Total investments in U.S. venture-backed artificial intelligence companies topped $1.9 billion in the first quarter of 2018, the highest ever. Here's where the money went.
How AI is reshaping marketing
Machine learning software and artificial intelligence have come a long way since their inception – and is only continuing to intensify. Taking over many industries, AI is swiftly changing the way professionals go about their business....
3 ways artificial intelligence is changing the healthcare industry
Artificial intelligence-powered technologies are driving meaningful change across the entire patient journey.
Why there are no shortcuts to machine learning
As long as companies understand that good data science takes time in an enterprise, and give these people room to learn and grow, they won’t need shortcuts
