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) …
Artificial intelligence is poised to unleash the next wave of digital disruption, and companies should prepare for it now. That's the key takeaway from a new 80-page discussion paper from McKinsey Global Institute titled Artificial Intelligence: The Next Digital Frontier. The report argues AI is finally starting to deliver real-life benefits and will be a powerful force for disruption. "AI has the potential to accelerate shifts in market share, revenue, and profit pools--all hallmarks of digitally disrupted sectors," the authors write. "Early adopters and early case studies demonstrate AI's potential to transform business processes, shake up entire sectors, increase profits, and create new sources of value.
"Critical component" Some 91 percent of cybersecurity professionals are worried that next-generation cyberattacks will be based around AI, a study from Webroot found. As TechRepublic reports, most of the experts surveyed said they will defend against AI-based attacks using more AI. Almost all the businesses (99%) intending to use AI are optimistic it will improve their cybersecurity responses. The technology is being used in three key ways to augment existing anti-malware solutions. These percentages aren't the same across the globe.
Financial markets play a vital role in today's economic framework, enabling companies to access the necessary capital to expand. They also allow investors to safeguard the value of their savings by hedging against economic outcomes. But the way markets are changing makes them look drastically different than they did even 10 years ago. Between the rise of Fintech, high frequency trading and artificial intelligence (AI), the world of finance has changed greatly. Also factors in these changes are the increased concentration of the world's capital in the hands of a select few banks and funds, making finance increasingly abstract from most people's daily lives.
Content marketing has been around since 1895, when the John Deere company started a magazine for farmers. Fast forward to today, when brands have infinite media options for engaging customers--web sites, blogs, videos, social media, podcasts, and webinars among them. Each medium offers a different way to tell a story, educate prospects, and turn customers into advocates. And as 2018 approaches, newer forms of content marketing are gaining traction, including virtual reality (VR), augmented reality (AR), and virtual assistants like Amazon's Alexa. Here are 7 trends content marketers are predicting for 2018.
Financial payments and banking started in a very inefficient and traditional way, which was slow but still acceptable to the customers due to the stage in the information age. There are lucrative but under-utilised banking opportunities and banks in the region need to step up and grasp these opportunities to succeed otherwise its almost a lost game for them. AI technologies such as machine learning, deep learning, prescriptive learning, predictive analytics, virtual agents and natural language understanding technologies are gaining popularity among progressive banks. AI is not a magic push button and it will never be but as a strategy if one adopt it will take them to new height though, particularly for financial institutions, fintechs and banks where data access and security play a critical role. Competition in Fintech world today at its peak, so adoption of new technologies to stay one step ahead of the competition is no brainier.
Call them what you will, but in my experience, the millennials I work with are some of the most brave, creative and intelligent people I know. Recently, while in a text conversation with one of my assistants, (a millennial), regarding this article I was writing, he responded with this sentiment, "I wonder if one of the mechanics building the first fleet of Model-Ts felt like this. It's a strange, out of body feeling of'after we do this, a lot of life as we know it is going to change.'" We started riffing on how many people might have been freaking out about the replacement of horses, and all that comes with horseback being the primary vehicle for transportation, (such a loss of jobs for the blacksmith, the farriers, the growers of alfalfa, etc., etc.) I've talked a lot about how artificial intelligence, (AI), and machine learning is revolutionary for our world as a whole, however in this article, I wanted to open the discussion around one very specific application of the machines, (algorithms), that learn with very wide-ranging applications: AI powered marketing and sales. What my millennial assistant and I began to discuss, (all via back-and-forth text messaging), is that, in order to create value-adding autonomous systems, we have to feed those systems with massive amounts of data about ourselves.
Cross selling and Upselling is one of the most widely discussed concept in marketing analytics. Every other day when you visit a supermarket, restaurant to purchase something, this concept comes into live action. This concept is being taught in every marketing class across the world, thereby students are expected to know of it. You may be curiously wondering why we have selected this topic of "Cross-Sell"? Well, the answer to this is very obvious.
More than 90% of cybersecurity professionals are concerned that hackers will use artificial intelligence (AI) in cyberattacks against their company that are more sophisticated and harder to detect, according to a new report from Webroot. AI has already proven to be both a benefit and a threat on the cybersecurity front: While the technology can help companies fill cybersecurity skills gaps and safeguard data, it also gives hackers a new tool for attack. In August, researchers created an AI that could modify malware to bypass machine learning antivirus software. Common cyberattacks such as phishing also become much more effective when they are powered by AI, according to ZDNet. Webroot surveyed 400 cybersecurity professionals at companies with 100 or more employees in the US and Japan.
We are back with some highlights from the second day of NIPS. A lot of fascinating research was showcased today, and we are excited to share some of our favorites with you. If you missed them, feel free to check our Day 1 and Day 3 Highlights! One of the most memorable sessions of the first two days was today's invited talk by Kate Crawford, about bias in Machine Learning. We recommend taking a look at the feature image of this post, representing modern Machine Learning datasets as an attempt at creating a taxonomy of the world.