The advancement of machine learning and artificial intelligence is opening new doors for businesses to make more data-driven decisions at higher accuracy rates. Data and analytics are also changing the way that businesses compete. As leading companies take advantage of the power of big data, and laggards stay behind, the disparity between the two groups will continue to widen in the future. Recently, Forbes has predicted that by 2020, we will have 1.7 megabytes of new information created every second for every human everywhere on the planet. So what does this mean?

Earlier this month we released our annual travel industry trends forecast, Skift Megatrends 2017. You can read about each of the trends on Skift, or download a copy of our magazine here. There are few things buzzier in travel right now than the rise of artificial intelligence (AI) and human-machine interfaces. That's possible due to AI, or machine-learning, where Google can not only crunch data at the speed of light, but also "learn" how to deliver more nuanced results. "AI is simply a group of technologies that will increasingly be used to augment human capabilities, and make us better at the things we do best," wrote Bob Rogers, chief data scientist for analytics and AI solutions at Intel, in CIO, a publication serving chief information officers.

Perhaps the coolest thing about IBM's 9th "Five Innovations that will Help Change our Lives within Five Years" predictions is that none of them sound like science fiction. "With advances in artificial intelligence and nanotechnology, we aim to invent a new generation of scientific instruments that will make the complex invisible systems in our world today visible over the next five years," said Dario Gil, vice president of science & solutions at IBM Research in a statement. Among the five areas IBM sees as being key in the next five years include artificial intelligence, hyperimaging and small sensors. In five years, what we say and write will be used as indicators of our mental health and physical wellbeing. Patterns in our speech and writing analyzed by new cognitive systems will provide tell-tale signs of early-stage mental and neurological diseases that can help doctors and patients better predict, monitor and track these diseases.

Multiple predictive models are generated by using various multi-omics data types; then a final predictive model is generated by using the multiple models. Predictive models can be consolidated from various multi-omics data types, and each data type can be gathered from a various set of patients with same phenotype. Multiple data matrices of different multi-omics data types are incorporated into a large input matrix; then a predictive model is generated by using the large input matrix. It is fairly easy to leverage various machine learning methods for analyzing continuous or categorical data once a large input matrix is formed. It may be challenging to combine a large input matrix. Datasets for various multi-omics data types are first converted into intermediate forms, which are united into a large input matrix; then a predictive model is generated by using the large input matrix. Unique variables such as patient identifiers can be used to link multi-omics data types and integrate a variety of continuous or categorical data values. It may be challenging to transform into intermediate forms.

There has been much talk about the great use of Artificial Intelligence (AI) within financial services to streamline processes and add value, some of which we are already seeing in the form of robo advisors and big data processors.

Do you wonder how Internet of Things Will Affect Your Social Media Strategy? What part does Artificial Intelligence and Technology Play in Social Media? It all may sound like a sci-fi movie at first, but this is real life. New technologies are shaping the world we live in and at a rapid pace. Here's a quick guide to help you understand some of these emerging technologies and how they will affect social media.

Artificial intelligence (AI) is all the buzz this year. According to CB Insights, as of June 15, this year, more than 200 AI venture financing deals have been completed already totaling $1.5B in dollar volume. If the latter half of the year continues at this pace, 2016 will be a record year. Based on analysis by CB Insights, most of the deals being done are at a series B or C stage, indicating that startups in this space are beginning to see success. AI, as most people now know, has several applications in health technologies, marketing & sales, business analysis and financial services.

When you imagine the ideal chatbot, what do you picture? The bot in your mind's eye may resemble something along the lines of blockbuster movie favorites like Baymax from Big Hero 6, Wall-E's EVE, or my personal hero, C-3PO. You probably didn't imagine a small tower that lives on your shelf, like Alexa; a virtual being that resides in the cloud and is accessed through your smartphone, like Siri; or even a pop-up chat window on your computer screen that can answer questions about your favorite products. Besides their looks, there's another major difference between today's artificial intelligence (AI) and our movie favorites: Our most beloved fictional chatbots all possess emotional intelligence (EI). As we move into the future, AI needs humanizing qualities to improve the way it interacts with us, meets our needs for information, and even controls the other technology around us.

Disruptive technologies are dictating a new future for humankind. Almost every day we hear of new advances that blur the lines between the realms of the physical, the digital and the biological. Robots are now in our operating rooms and fast-food restaurants. It's possible, using 3D imaging and stem cell extraction, to grow human bone from a patient's own cells. This tsunami of technological change is clearly challenging the ways in which we operate as a society.

With advances in information technology, robotics, and artificial intelligence developing at a rapid rate, workforce dislocations are happening now and are here to stay. As existing trends accelerate and irreversibly change the workforce as we know it, the question to be answered is–what will we do to broadly share the gains and alleviate the challenges? Cities often lead trend cycles for mass adoption of new technologies. We all know that technological unemployment is as old as technological innovation. However, American cities are entering a period where the maturation of certain technologies will serve as a force multiplier–affecting every sector of the local economy, every worker, and every job. Automation helps innovation flourish and brings cost savings for businesses, but also displaces jobs.