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) …
Automated intelligent technologies like AI and machine earning are enabling businesses to deliver more relevant, personalized customer experiences through responsive technologies, like chatbots, and recommendations and services that streamline purchasing. Natural Language Recognition is also helping businesses better understand the needs of their clients and automates processes for customers who call in for service or support. These technologies are supporting and improving vital business functions that put customer experience at the forefront of business concerns, and enhance the ability to provide customized recommendations through insights into customer behaviors, preferences, and activities. Businesses are able to become customer-centric by exploiting intelligent apps and utilizing Big Data and Analytics tools to refine products and services and improve customer interactions and personalization. For example, machine learning can perform tasks that we're unable to do, such as searching through millions of databases quickly, or analyzing huge amounts of data within text, audio, and images.
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.
This is a continuation of the three part series on machine learning for product managers. The first note focused on what problems are best suited for application of machine learning techniques. As I had mentioned in Part I, the core skill sets required of a PM do not change whether you work in a machine learning driven solution space or not. Product managers typically use five core skills -- customer empathy/design chops, communication, collaboration, business strategy and technical understanding. Working on ML will continue to leverage these skills.
With consumer expectations increasing, the use of artificial intelligence, machine learning and chatbots in banking is also increasing. Banks and credit unions worldwide are testing new applications and deploying new solutions to improve the overall digital customer experience. Subscribe to The Financial Brand via email for FREE!More and more banking organizations are leveraging artificial intelligence to launch chatbot solutions, reducing costs and serving increasingly tech-savvy consumers. In many instances, chatbots are developed to facilitate two-way communication, replacing channels such as phone, email or text. The objective is to provide quick service and transactional support.
This article first appeared in IEEE Software magazine. IEEE Software offers solid, peer-reviewed information about today's strategic technology issues. To meet the challenges of running reliable, flexible enterprises, IT managers and technical leads rely on IT Pro for state-of-the-art solutions. Artificial intelligence (AI) is increasingly hyped by vendors of all shapes and sizes-from well-funded startups to the well-known software brands. Financial organizations are building AI-driven investment advisors1. Chat bots provide everything from customer service2 to sales assistance3.
Google has quietly secured a contract to work on the Defense Department's new algorithmic warfare initiative, providing assistance with a pilot project to apply its artificial intelligence solutions to drone targeting. The military contract with Google is routed through a Northern Virginia technology staffing company called ECS Federal, obscuring the relationship from the public. The contract, first reported Tuesday by Gizmodo, is part of a rapid push by the Pentagon to deploy state-of-the-art artificial intelligence technology to improve combat performance. Google, which has made strides in applying its proprietary deep learning tools to improve language translation, and vision recognition, has a cross-team collaboration within the company to work on the AI drone project. The team, The Intercept has learned, is working to develop deep learning technology to help drone analysts interpret the vast image data vacuumed up from the military's fleet of 1,100 drones to better target bombing strikes against the Islamic State.
Acclaimed physicist, author and educator Stephen Hawking has claimed that artificial intelligence may cause the end of civilization as we know it. While I don't think we're headed for a dire, Terminator-like state, there's little doubt that artificial intelligence has the capacity to change the world. That change first affected industrial and mechanical industries by assisting in mass production, but today businesses of all types are discovering the benefits of artificial intelligence in the workplace. Leading organizations are employing artificial intelligence to work alongside employees for more effective and efficient results. Artificial intelligence capabilities can be grouped into three main categories: cognitive computing, machine learning and deep learning.
Data is now considered one of the most important commodities. An explosion of consumer data has enabled companies and brands to more easily forge one-to-one relationships by offering tailored experiences and recommendations to end-consumers. Now, these savvy consumers have come to expect this type of personalized interaction from consumer-facing companies. The internet, which is one of the most transformative innovations of the modern era, has been the catalyst for this. With respect to shopping, in particular, the internet has put more power in the hands of consumers.
Hemingway tried to warn us. Because we've created a monster that's bent on ruining the content marketing that was once the saving grace in our long journey toward self-destruction. You know what's even scarier? Almost everyone is doing content marketing. Yet, less than half of B2B marketers feel their efforts are performing better than "meh."
I've tested application where it's core functionality that we were selling was you know it has machine learning. And so your app will work better as time goes on. And so it was a really interesting experience for me. Everyday applications that we use right now. We don't necessarily realize that there's machine learning in there such as Netflix.