The time of year when crystal balls get a viewing and many pundits put out their annual predictions for the coming year. Rather than thinking up my own, I figured I'd regurgitate what many others are expecting to happen. Chris Preimesberger (@editingwhiz), who does a monthly #eweekchat on twitter, covers many of the worries facing organizations. People focus so much on the'things' themselves rather than the risk of an internet connection. This list discusses how IoT will grow up in 2017, how having a service component will be key, the complete mess of standards and simply, 'just because you can connect something to the Internet doesn't mean that you should.' NW talks about how cyber attacks will get worse due to IoT and gives some ideas on how to protect your data in 2017.

Are we approaching Economic Singularity? My recent book, The Economic Singularity, argues that improvements in machine intelligence are going to make it impossible for many of us –maybe all of us – to earn a living. If this is even an outside possibility, we'd all be wise to spend some time working out how we intend to deal with it. In 1900, 40 per cent of American workers were employed in agriculture. That has now fallen below three per cent and while the farm workers eventually found better jobs elsewhere in the economy, their horses didn't.

Connected hospitals with intelligent messaging In today's hospitals, pacemakers, defibrillators and oximeters are all connected to the internet and share vitals immediately with doctors, in turn speeding response times. Hospitals have technicians, nurses, staff, billing departments, insurance providers, patients and patients' families as stakeholders, each with different requirements of information about the care given to patient. Unified Inbox offers an AI-based unified cloud IoT messaging platform for internet of things devices to connect various stakeholders, giving them the freedom to receive different messages at different frequency, with different senses of urgency in different mediums of their choice. Unified Inbox launched this at Nanyang Polytechnic in Singapore as "CUBE," the IoT-secured messaging gateway for healthcare. The artificial intelligence makes the hospitals connected, giving peace of mind to patients and their loved ones while improving efficiency in the overall hospital management and interaction with all stakeholders.

Join our experts and learn more about How can organizations benefit from #MachineLearning? #saschat on December 9th at 3.00 CEST pic.twitter.com/GCNJDPnT3A SAS Institute France (@SASFrance)Mon, Dec 05 2016 15:04:01 Q1: #MachineLearning is a hot topic and is taking hold. Peter Pugh-Jones (@rubricsinger)Fri, Dec 09 2016 14:11:39 A1: With increased processing power and data science skills more and more complex decisions can be made using machine learning. Henrikki Hervonen (@henkkuh)Fri, Dec 09 2016 14:09:04 #saschat A1: Also the biggest tech companies have used a machine learning approach to deal with our personal data. Marcel Lemahieu (@MarcelLemahieu)Fri, Dec 09 2016 14:10:36 A1. #machinelearningn has gained momentum with the tremendous computing power we have today.

With that in mind, I'd like to share one way that Avnet has been using machine learning in the enterprise this year, with highly compelling results. In October 2016, the internet experienced a massive denial of service attack that affected more than 80 major websites and cloud service providers from Amazon to Twitter. A bit of malware that hijacked hundreds of thousands of unsecure Internet of Things devices to overwhelm specific targets. In the cybersecurity arms race, malicious hackers are increasingly looking to machines to strengthen their attacks. So larger organizations like Avnet are also tapping into the power of machines--in this case, machine learning--to strengthen our defenses.

SANTIAGO (Reuters) – A Chilean startup that has built artificial intelligence software to help recreate animal-based foods using plants is looking toward U.S. multinationals after signing deals at home to sell its products, the company's founders said. NotCo, founded around a year ago by three Chileans, has already persuaded Cencosud's Jumbo supermarkets to stock its'Not Mayo' across Chile, and has signed a deal to supply a national food manufacturer with one of its products, said Chief Executive Matias Muchnick. The company has also spoken to international companies including Hershey, Coca-Cola and Mars about creating new versions of chocolate and soda. "We want to promote these products as mainstream. It will only have an impact if meat-eaters who don't care about sustainability buy them," said Muchnick, adding that they can be retailed at the same price as the non-vegan version.

Our SMS search engine, called Text Engine, was originally created in 2013. The idea was to create a utility that would enable users to search the Web without needing to use a web browser and without using data. Text Engine accomplishes this by giving you access to vital, basic web information just by sending and receiving text messages. To keep Text Engine relevant for an ever-changing mobile market, our investors suggested that we think about adding a chatbot experience to Text Engine. So that's what we did.

Meet Jill Watson, a first-time teaching assistant at Georgia Tech assigned to moderate an online forum for a computer science class. Jill was 1 of 9 TAs assigned to help answer questions about coursework and projects from the 300 students enrolled in the advanced course. During the first few weeks in January, Jill really struggled. This was Knowledge-Based Artificial Intelligence, after all, a course with the goal to "build AI agents capable of human-level intelligence and gain insights into human cognition." It was also a requirement for graduate students to earn their master's degree.

That is according to Hugo Pinto, an innovation director at IBM Interactive Experiences, who works with IBM's Watson group. Watson is IBM's "supercomputer", an artificially intelligent system which can answer natural language queries. It is currently involved in industries ranging from cybersecurity to medicine to marketing. There is some fear it will eventually replace some white collar professions. Speaking at the launch of Warc's 2017 digital toolkit for marketers, Pinto likened AI to the wheel.

In this post, you discovered how to load and handle time series data using the Pandas Python library. How to load your time series data as a Pandas Series. How to peek at and calculate summary statistics of your time series data. How to load your time series data as a Pandas Series. How to peek at and calculate summary statistics of your time series data. Do you have any questions about handling time series data in Python, or about this post? Ask your questions in the comments below and I will do my best to answer.