Risk Assessment: The risk assessment from a privacy perspective comes in the form of a Data Protection Impact Assessment which will likely be mandatory if the AI model is making use of personal data. Risk assessments will probably need to be enhanced to cover the wider impact of AI models and issues such as bias and statistical accuracy to consider what other risks may be relevant and how those can be addressed.

The AI landscape in Germany is rapidly transforming in a positive direction. The nation is aiming to be a global AI leader among all countries in Europe. At present, Berlin is the fourth biggest AI hub, and companies like BMW, Daimler, and Volkswagen are steering the AI innovation.

It is gradually finding its way to the public and private board room discussions and government policies. Even countries like Germany, which were lagging in the AI race, have gone through tremendous change in the past few years. According to PwC research, by 2030, Germany alone shall have Gross Domestic Product (GDP) up by 11.3% and generate €430 billion due to AI. And by percentage, this potential is more than most of the other European Nations. This makes the country as Europe's largest economy, with a thriving market and high potential for new to market brands. The study also that industries like healthcare, energy, and the auto industry will benefit from significant productivity gains by adopting AI applications.

Back in 2015 I had written an article on 100 Big Data papers to help demystify landscape. On the same lines I thought it would be good to do one for AI. The initial part is about the basics and provides some great links to strengthen your foundation. The latter part has links to some great research papers and is for advanced practitioners who want to understand the theory and details. AI is a revolution that is transforming how humans live and work.

This study was conducted by IDC France with 206 private sector companies with at least 1,000 employees.

There are 1,070 artificial intelligence companies in Beijing, accounting for 26% of the total number in China, according to the AI Development White Paper published by the Beijing Municipal Commission of Economy and Information Technology, The Paper reported. As of May 8, the number of AI enterprises in China hit 4,040, while those with venture capital reached 1,237 -- 35% of them based in Beijing. Zhong Guan Cun, the technology hub in Beijing, has become the AI innovation highland of the country. But more than half of Beijing's AI firms are still in the initial stage. At least 29% of them are in A-round, followed by 6.7% in Pre-A round. About 18.5% and 2.7% have received funding from angel investors and seed investors, respectively.

Are you ready to invest in AI technologies to drive contact center performance? You might have deployed speech analytics or an IVR using natural language or a Chatbot or fraud prevention. All these solutions likely use machine learning and artificial intelligence to discover insights and optimize performance. But the AI landscape is buzzing with emerging tech that could have major implications on customer service. Yes, some technologies will optimize existing processes (like IVR self-service) but others will be disruptive to your current processes (like Chatbots over a messaging app).