Artificial intelligence has already started to impact all of our lives, so hopefully this report has made today's AI technology landscape a little clearer. As artificial intelligence capabilities advance, there will be many exciting innovations that we'll continue to track here at HubSpot. For all of us as individual consumers, AI will change how we obtain information, interact with loved ones, and buy from businesses. As professionals, AI has the potential to augment the way we work and make us much more efficient by taking care of the busywork we all hate doing. On a societal level, AI can help us discover cures to diseases, facilitate the education of millions of people, and yes, even generate heated debates on ethics.

With the future of the Affordable Care Act in question and debate about health care costs, coverage, and delivery methods continuing around the country, an increasing number of people in the United States are relying on telemedicine for their health needs. According to a report by the research firm Tractica, telemedicine use, or clinical services provided in a remote setting, is projected to increase 700 percent by 2020. Remedy, co-founded by several MIT and Princeton alumni, is trying to ease the pain of high-deductible plans by offering affordable access to doctors, augmented by artificial intelligence. "Remy," the company's automated medical companion, similar to a chatbot, can already perform tasks such as collecting and summarizing patient medical history and complaints for physicians. Remy combines chat with a structured questionnaire that ensures patients' details are captured clearly.

Arthur C. Clarke famously stated that "any sufficiently advanced technology is indistinguishable from magic." No current technology embodies this statement more than neural networks and deep learning. And like any good magic it not only dazzles and inspires but also puts fear into people's hearts. One known property of artificial neural networks (ANNs) is that they are universal function approximators. This means that any mathematical function can be represented by a neural network.

It's no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix. Machine learning is based on algorithms that can learn from data without relying on rules-based programming. It came into its own as a scientific discipline in the late 1990s as steady advances in digitization and cheap computing power enabled data scientists to stop building finished models and instead train computers to do so. The unmanageable volume and complexity of the big data that the world is now swimming in have increased the potential of machine learning--and the need for it. In 2007 Fei-Fei Li, the head of Stanford's Artificial Intelligence Lab, gave up trying to program computers to recognize objects and began labeling the millions of raw images that a child might encounter by age three and feeding them to computers.

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?

"The last 10 years have been about building a world that is mobile-first. In the next 10 years, we will shift to a world that is AI-first.", Artificial Intelligence (AI) is at a tipping point, leading a watershed shift to digital intelligence by discovering previously unseen patterns, drawing new inferences, and identifying new relationships from vast amounts of data. This shift from the current Programmatic Era to the new AI Era will be transformative and disrupt companies and entire markets. To accomplish this, AI/Cognitive solutions will require entirely new skill sets and job descriptions.

At Neurala, we tackle the most challenging problems in artificial intelligence, deep learning and robotics.

By all accounts, 2017 has ushered in the dawn of the newest Artificial Intelligence (AI) era. Most technology hype cycles follow typical paths, quickly shooting up, often followed predictably thereafter by a meteoric reentry to reality. Typically, the entire flight takes place over a decade or so, as the fuel of inflated hype burns out, and the gravity of commercial application pulls down on its excitement to test its true value. It has appeared, drew much fanfare, and then disappeared several times already – more akin to a comet, flaring a tail of excitement with each new orbit. AI history suggests five such orbits already – so is it destined for cold dark space soon?

This year the Consumer Electronics Show (CES)– an international consumer electronics and technology innovation trade fair – was celebrating its 50th anniversary. The January Las Vegas event, which venue extends over close to 250.000m2, can sometimes almost overwhelm its audience with its vast and varied array of innovative technologies but it serves as a valuable indicator of the technology trends that are now helping to propel corporate transformation and drive changes in consumer behaviour. Last year self-driving connected cars were the stars of CES, but this year artificial intelligence (AI) topped the polls by a long way, with the prospect of integration into tomorrow's road vehicles confirmed by announcements from Santa Clara, USA-based tech company Nvidia. Indeed the company's AI technology can now be embedded in'smart' co-pilot systems for car drivers. It can also be integrated into the virtual assistant systems that help users on a daily basis, incorporated into your'smart home' and its connected objects, underpinning the voice commands that regulate the temperature and lighting levels and close doors at your house, and can also order you a taxi.

You are in an elevator and your watch starts vibrating and one swipe tells you that it's an important alert from your bank. You are facing some issues with your banking transaction and you are connected to a chatbot (an intelligent robot at the bank's contact centre) and over a series of messages, the bot meticulously addresses your problem. This indicates the onset of a digital era which is set to transform the way people work and interact in daily business activities. Intelligent automation, software robotics, cognitive computing, augmented reality and machine learning have the potential to increase productivity, improve efficiency, and reduce time-to-market and reshape the manner in which people and enterprises function. Many industry experts believe that the use of artificial intelligence (AI) will become pervasive across industries in the next decade.