As consumers, we're familiar with -- if not yet wholly invested in -- the term "artificial intelligence," whether it's by way of self-driving cars or voice-enabled search like Siri and Amazon's Alexa. Artificial intelligence is on course to drastically change the enterprise, with big implications for productivity, and possibly even larger ramifications for the economy. Business intelligence is providing companies with an overabundance of data, but it's AI that's emerging to make this data actionable by giving executives and employees useful insights that are relevant to their specific roles and what they need to accomplish on any given day. To name just a few implications of how business will change with AI, today's workforce will be empowered to take on new approaches with time management, teamwork and collaboration, client service, and business forecasting. For example, instead of just assessing raw data, artificial intelligence can take into account historical patterns and the current context of an employee's role, the nature of the business within which they work, and market dynamics.

Getting a review unit late, as is the case with the Google Home Max, gives me the benefit of reading a lot of people's opinions of a product before I formulate my own. And reviewing a lot of similar speakers before I evaluate the one at hand gives me a broad base of experience upon which to formulate mine. Based on those two fronts, the Google Home Max has been praised just a wee bit overenthusiastically. That said, the Google Home Max is the best smart speaker I've heard. Amazon certainly has nothing close to it in terms of audio performance, and neither do any of the manufacturers building Echo clones.

The AI technology has been picking up steam in the past couple of years. Scientists from all around the world are slowly but surely cracking this riddle. Sure, they are still a long journey away from creating a true Artificial Intelligence, but each year we see significant breakthroughs in this field. Today, you can find some form of AI in many everyday places. For example, Alexa and Siri are world famous AI assistants.

When we come across the terms "Machine Learning" and "Artificial Intelligence" (AI), images of sentient robots fighting their war on our planet (Transformers) or bots from Skynet leaving American cities in ruins (Terminator), are quick to appear in our minds. Most of us think that AI is restricted to bots trying to enslave humankind. However, AI is much more than a machine bearing a human-esque learning tendency. In fact, you might be surprised by how often we encounter this technology in our daily lives. Think of the times when you are scrolling through your Facebook feed and multiple advertisements appear for casual shoes that you were thinking of buying.

PSFK researchers look at artificial intelligence's growing role in healthcare for needs like scheduling and patient communication In recent years it has become evident that AI is having a sizable impact on the way patients receive health care, as well as how professionals administer that care. For example, medical practitioners and patients are using AI-driven self-scheduling and smart calendar software to schedule appointments, conversational assistants to diagnose and prescribe medicines, and virtual platforms for remote consultations. PSFK researchers took a closer look at how technology is evolving the patient experience and how these advancements can provide additional insights into ways that retailers are using scheduling software to optimize staffing for improved customer experiences. These technologies are no longer fringe or extreme cases; in fact, Sandhya Pruthi, MD, Associate Medical Director of the Mayo Clinic, commented on how they are impacting patient care today: "Voice-enabled experience is a new and growing channel for reaching people and delivering information they are seeking, whether or not they have an existing relationship with Mayo Clinic." As part of a larger trend we are calling'Self-Scheduling,' PSFK researchers exlpored how new technologies are seamlessly onboarding patients and connecting them to the right doctors and medical practitioners through voice-based activations and mobile or digital platforms.

Industry executives and experts share their predictions for 2018. In 2017, the rapid growth and uptake of machine learning within enterprise software was impressive to say the least, with adoption accelerating in speed from initial research to implementation. Even as machine learning was predicted by many to be impactful this year, the speed of innovation is what was surprising. As we move into 2018, we will continue to see rapid growth in machine learning and AI as well as bigger investments in big data and analytics, with voice-activated digital assistants surfacing as a core user front-end for these technologies. IDC says that by 2019, 40 percent of digital transformation initiatives will use Artificial Intelligence (AI) services.

In the 21st century, industries that remain adamant to integrating new technological revolutions are most likely to regress in their course of development. Businesses across the globe have realized how important it is to include contemporary digital technology to drive constant growth and revenue. The last decade has seen incredible innovations and breakthroughs in the landscape of digital solutions. One of such compelling technologies is called Artificial Intelligence (AI). Often misconceived as a replacement for human power, the concept of AI as a technological aid is much larger, wider and pervasive.

You've probably interacted with a number of artificial intelligence technologies today, whether you've asked your Amazon Echo for the weather report or used a virtual agent chatbot on a retailer's website. With every interaction, you leave breadcrumbs of data, which create trails that companies can use to gain insights into your preferences, buying habits and much more. This new reality means companies have access to a gold mine of customer data, but they are only using about 12% of it for insights, explained Forrester Research vice president Srividya Sridharan, during a recent AI Trends webinar called "Drive Innovation in Customer Insights with 12 Artificial Intelligence Technologies." "Time and time again, we hear from our clients, 'we are drowning in data and starving for insight,'" said Sridharan, who specializes in customer data research. She added that companies have made tremendous strides in using data in daily decision-making, but there are only pockets of excellence.

According to a study published by eMarketer in 2016, the ecommerce sector will experience double-digit growth until 2020, when sales are expected to exceed $4 trillion. Few industries can boast such a bright future, which makes looking forward to what's next in the world of ecommerce all the more exciting. Today, we'll be taking a look at seven of the most significant and potentially disruptive ecommerce trends that marketers and consumers alike can expect in 2018. We'll be examining the current state of each of these areas, as well as taking a speculative look forward for the rest of the year to see what opportunities – and challenges – ecommerce retailers are likely to encounter in 2018. Looking beyond the idiosyncrasies of specific ecommerce platforms, one of the very few remaining genuine differentiators in the ecommerce sector is that of shipping times and delivery logistics.