Artificial Intelligence has had a transformative impact on the modern economy. Technologies like machine learning, deep learning, and neural networks are being combined with cloud computing, open source software tools, and big data to power unprecedented breakthroughs in AI and revolutionize Finance. From compliance to traders, AI is being used across the industry to automate repetitive tasks, improve efficiency, and augment human decision making.

As France's youngest president at 40 years old, Emmanuel Macron is known for his strong handshake, boyish good looks, and his controversial method of selecting a mate. Recently, he set his sights on artificial intelligence, announcing a government program to invest $1.8 billion into AI over the next four years. The cornerstone of all this spending will be in the healthcare sector, where the aim is to make predictive and personalized care a reality using AI and big data. This prompted us to take a look at the ten most funded French AI startups according to Crunchbase. Founded in 2014, Shift Technology has raised $40 million to develop an AI-based insurance fraud detection service.

We have been profiling a number of machine learning APIs lately, not because there is an opportunity to proxy and stream the APIs, but because of the possibilities around applying common machine learning models to the data and content streams our customers are producing. One of the interesting machine learning APIs we are profiling currently is called ParallelDots, which provide a suite of common, yet powerful machine learning models that anyone can integrate into their applications. As we profile the ParallelDots API, we are considering the possibilities for trickling, or streaming updates via the APIs our customer's are proxying using our service. Consider some of the opportunities for posting stream updates to any of the following APIs: - Sentiment - Sentiment API accepts input text, language code and API key to return a JSON response classifying the input text into a sentiment. API can extract this information from any type of text, web page or social media network.

We have been working hard to understand the core stack of data services that make our cities work, or not work, depending on where you live. While we have labeled this research "smart cities", we are starting with the basics of open data required for city operations. This is the current data sets available via existing services, which may or may not exist in a machine readable format, via an API, depending on the city you live in. There is a huge amount of city data already available at the municipal level, but here is where we have started as of January. Now that we have these three critical aspects of municipal operations profiled, we are going to work to profile as many cities as we can.

We have been working hard to understand the core stack of data services that make our cities work, or not work, depending on where you live. While we have labeled this research "smart cities", we are starting with the basics of open data required for city operations. This is the current data sets available via existing services, which may or may not exist in a machine readable format, via an API, depending on the city you live in. There is a huge amount of data already available at the municipal level, but here is where we have started as of January. Real Time Streaming 311 Incidents In Chicago 511 - Traffic, Travel & Transit Adding 511 Data To Our Existing Transit Data Research Getting Your 511 Traffic Incidents in the San Francisco Bay Area as a Real Time Streaming API 911 - Emergency Events Making 911 Data Real Time Streaming 911 Emergency Data For Baltimore, MD We've targeted these three areas because they make a difference in our lives at the local level, and have huge potential when it comes to making available via web APIs, and in real time using Server-Sent Events (SSE).