Artificial intelligence is currently revolutionizing the business world -- and it's just as quickly transforming virtually every element of digital marketing. For marketing leaders, the growth of artificial intelligence (AI) means less guesswork and more efficiency. Marketers should expect to use AI in guiding and implementing every element of their marketing strategy -- from the initial research stages to carrying out automated media buys and providing targeted customer service. In the past, marketers have used research, combined with trial and error to determine the best way to communicate with target markets. With the introduction of artificial intelligence, that guesswork is starting to drastically decrease.

Opinions expressed by Forbes Contributors are their own. The author is a Forbes contributor. The opinions expressed are those of the writer. In terms of stock market years, the bull market that kicked off in March 2009 should be on the front cover of AARP magazine. At age 8, the S&P 500 bull run is very old and very overvalued compared to its historical ratios.

It doesn't take a rocket scientist to know that the cutting-edge technologies known as artificial intelligence will transform many U.S. industries. But, it takes a savvy investor to sort through the technology's early possibilities. Even the biggest tech names have yet to see their AI-related revenue growth take off, and the market is still waiting to see any real pure-play AI stock plays. But the rapidly developing technologies are starting to contribute sales to a handful of companies, while driving others to modify their products and technology platforms to tap into AI's possibilities. At a basic level, artificial intelligence is the use of computer algorithms to attempt to replicate the human ability to learn, reason and make decisions.

NVIDIA (NASDAQ:NVDA) stock has returned a scorching 225% over the one-year period through June 15. Investors have been enthused by the chipmaker's strong financial performance across its four target market platforms: gaming, data center, professional visualization, and automotive. Gaming currently accounts for the largest percentage of revenue for the graphics chip specialist, but artificial intelligence (AI) is the future for the company -- and that's a great thing for investors because the burgeoning AI market is widely predicted to be beyond humongous. Here's how NVIDIA's business broke out in its most recently reported quarter, Q1 of fiscal 2018. NVIDIA's gaming business has some seasonality, with the fourth quarter of each fiscal year getting a boost from the holidays.

This week's news reminds me how much fun it is to be surprised by technology. Yesterday, the Paris-based AI startup raised $13 million, on top of an earlier $8 million investment, for technology that let developers put a voice assistant on nearly any device. Add this to recent advances from Amazon Alexa, Google Assistant, and Apple Siri, and it's obvious that voice is becoming the new interface much sooner than many people, including yours truly, ever anticipated. These are exponential leaps forward in the steady progress from command-based interfaces to conversational ones. It's as if the machines themselves are disappearing -- the "thing" we're conversing with is some crazy fantastic blend of artificial intelligence, super computer, bandwidth, and what have you, that we never see.

Element AI, an artificial intelligence company that delivers groundbreaking AI solutions, announced today it has raised $102M USD, representing the largest Series A funding round for an artificial intelligence company in history. With this funding, Element AI will accelerate its capabilities and invest in large-scale AI projects internationally, solidifying its position as the largest global AI company in Canada and creating 250 jobs in the high tech sector by January 2018. Element AI solves impossible problems for global organizations that urgently need to use AI in combination with their proprietary and valuable data to leap ahead of their competitors. Serial entrepreneurs Jean-François Gagné and Nicolas Chapados, Real Ventures, and Yoshua Bengio, a co-father of deep learning technology, co-founded Element AI in October 2016 to empower industry with the massive scale of academic AI innovation Bengio was driving at the world-leading Montreal Institute of Learning Algorithms (MILA). Together with MILA, one of the three leading centers of AI research in the world, Element AI pioneered a unique, non-exploitative model of academic cooperation they have now replicated to many other institutes.

Our AI Analytics is based on symbolic logic and propositional calculus. In other words, our algorithm discovers symbols that represent some level of importance based on propositional logic to drive a causational model. The causational model seeks out supporting context surrounding these situations. Thus, for each of the points, we expect AI to tell us the rationale. In a nutshell, the AI part of the analysis is to read the transcript like a human researcher and bring out positive points, negative points, and points with both positive and negative aspects. It does so in an objective way using Meta-Vision.

We knew that Masayoshi Son, founder and CEO of telecom giant SoftBank, loved robots. Now the Japanese billionaire is about to significantly expand his collection. Minutes ago, SoftBank announced that it will be acquiring Boston Dynamics and Schaft for an undisclosed sum, in order to "collaborate in advancing the development of smart robotics technologies." Boston Dynamics and Schaft were two of the nine robot companies that Google acquired in 2013 to form the core of its robotics division, headed by Android founder Andy Rubin. As far as anyone could tell, not much happened after all those companies became part of Google, and not much continued to happen through 2016, much to the frustration of roboticists everywhere.

The AI company is in the early stages of partnering with the UK's National Grid DeepMind is in talks with the UK's National Grid to boost energy efficiency using artificial intelligence. The AI company, acquired by Google for £400 million in 2014, has developed algorithms that can anticipate energy demand and supply. These algorithms are already being used within Google's own data centres, allowing the tech giant to cut energy by 40%, but they are now in talks with the National Grid, which owns and operates energy infrastructure across the UK. DeepMind is offering AI-powered solutions that could help balance energy supply and demand across the nation. "We're early stages talking to National Grid and other big providers about how we could look at the sorts of problems they have," Demis Hassabis, DeepMind's co-founder and CEO, told the Financial Times.