If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
AI-driven marketing may be one of the most misunderstood technologies of our time. And with marketers of all stripes looking to outperform the competition and get results, many an exaggeration of MarTech capabilities has been uttered in the boardroom. When it comes to artificial intelligence in this brave, new world, marketers have fallen victim to marketing themselves, and it pays to know where the hype about AI-driven marketing stops and the functionality kicks in. So, before you go ahead and incorporate AI-lead platforms into your martech suite, here are five things you need to know. There are a lot of false claims out there when it comes to AI-driven marketing.
In an industry known for its love of buzzwords and hype, artificial intelligence (AI) has become marketing's new'big data'. But where big data ultimately led to new layers of complexity, AI promises the opposite. Big data forced marketers to become data scientists (or hire them, if they could be found), but AI holds out the hope that marketers may get to go back to doing what they signed up for the in the first place. Recent months have seen technology providers such as Salesforce, Oracle and Microsoft bring new AI-based technologies to market, promising to derive insights and improve conversions by mimicking the processes of the human brain in software. Salesforce, for example, is rolling out its Einstein AI technology to provide functions such as product recommendations within the Commerce Cloud, email content recommendations within its Marketing Cloud, and predictive forecasting tools for sales managers with its Sales Cloud.
Given the online advertising boom in today's digital age, businesses need to learn to allocate their marketing dollars wisely. Unfortunately, there's a big challenge to meeting that goal: Advertising fraud and lackluster results are rife in the digital ad space. As a business owner, digital manager and entrepreneur, you've likely already experienced these issues, via paid Instagram ads that failed to achieve their intended results, or paid services like Google Adwords that had no conversions. To avoid such outcomes, you need to make sure your ads stand out and that you're spending your dollars on actual results -- not bot traffic. To clarify my Instagram example: Let's say that you paid Instagram to promote your post, and, all of a sudden, you start gaining a bunch of followers who, according to their account information, live in India and have only about five pictures each on their individual profiles. I'm no ad-fraud detective, but judging from the looks of that kind of new traffic, you'd be wise to question these followers' validity.
Like "big data," today's "artificial intelligence" is all about new tools and approaches for making sense of and profiting from the ever-increasing flood of data. It is the most recent stage in the steady evolution of computer technology since the late 1940s, which has been driven by the increasingly sophisticated and varied use of the key product of computers--digital data. Specifically, today's "artificial intelligence" is the latest stage in the evolution of the fruitful marriage of computer engineering and statistics, of teaching computers to learn from data, or "machine learning." What is frequently overlooked is that this has been--and will continue to be--an evolution in how humans teach machines to learn and how humans learn from automated processes to improve their work. In other words, we are witnessing today a new stage in the steady progress over the last seventy years in the scale and scope of augmented intelligence.
All machines built prior to the computer were designed to serve as an extension of the human body. Think of things like the crane, the bicycle, and the butter churner. The computer was the first machine built to expand the human mind. The interface has changed over the years, but the goal has remained the same: to develop a machine that can perform intellectual tasks better than a human, just as a forklift lifts objects better than human arms do. To date, we have not built a machine that can perform every single function of the body at once, and we also have yet to develop a form of artificial intelligence that can effectively do all that a human brain can.
Every business wants to do something with AI. It's nice to reimagine "your business to the power of AI" and the possibilities it opens up for the lives you're touching. While AI can't replace humans, where empathy builds connections, drives conversations and leads to actions; we think AI can definitely help humans in tasks like monitoring events, analyzing data, predicting opportunities, simplifying online transactions, all of these subsequently relieving humans to do more influential work.
It's time to rethink your position in the job market. It's time to question your current career path, and consider if it would be wise to make a few changes. Bots and intelligent assistants / agents are on the rise, ready to disrupt and turn the job market on its head. Now, it has always been key in life to stay up-to-date, grow and develop yourself and your knowledge base. But now more than ever this is definitely true.
Automation Anywhere has rapidly grown a customer base of more than 900 enterprises becoming the global leader in robotic process automation (RPA). Its platform is the most intuitive to use and the fastest to deploy and scale. Dozens of Automation Anywhere customers have deployed intelligent digital workforces that include more than 1,000 digital workers, or bots. This is possible because business users do not need programming skills to create Automation Anywhere bots capable of saving millions of dollars annually. Automation Anywhere RPA is so intuitive and easy to learn that business users can design bots in just minutes and get them into production within days.