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) …
Self-driving technology company Waymo is testing out self-driving semi-trucks in Phoenix. The trucks are currently on roads in metro Phoenix and on I-10 between the city and Tucson. Matt Carroll is a project manager at Waymo. He said fully loaded, the trucks can weigh up to 80,000 pounds and can be 75 feet long. Waymo started testing the trucks in 2017.
This post overviews the paper Confident Learning: Estimating Uncertainty in Dataset Labels authored by Curtis G. Northcutt, Lu Jiang, and Isaac L. Chuang. If you've ever used datasets like CIFAR, MNIST, ImageNet, or IMDB, you likely assumed the class labels are correct. Why? Principled approaches for characterizing and finding label errors in massive datasets is challenging and solutions are limited. Surprise: there are likely at least 100,000 label issues in ImageNet. In this post, I discuss an emerging, principled framework to identify label errors, characterize label noise, and learn with noisy labels known as confident learning (CL), open-sourced as the cleanlab Python package.
Are you one of those writers who struggles to find topics to write about? I hear that a lot: "I just don't have any ideas!" So I decided to take a few minutes and find some article ideas for you. Seriously, I did not spend hours gathering the ideas for this post. I collected press releases for a week that come in my inbox due to my long history as a business reporter, and then took perhaps 5 minutes apiece to think on them.
The benefits of conducting talent assessments can be felt throughout an organization, for the smallest organizations as well as the largest enterprises. Deployed strategically, AI-based talent assessment can be utilized to classify candidates, make predictions and lead to better hiring decisions. Finding the right people for your organization is critical, but talent assessments can ease some of that burden. Talent assessments can help uncover personality traits and determine if a candidate is right for your organization. Investing in this technology is crucial, because a thorough vetting upfront reduces turnover costs in the future.
Despite that old saying, lightning can--and often does--strike the same area twice. It's detrimental to farmers as lightning causes fires that can destroy millions of dollars' worth of crops. And, it kills more people each year than tornadoes or hurricanes. But right now, our only real warning system is storm clouds. Simply put: we have difficulty predicting exactly when these giant electrical charges will strike.
A business that leverages virtual process analysis to accelerate digital transformation through imitation learning is one of three startups to win ISG Startup Challenges at events hosted this fall by Information Services Group (ISG) (Nasdaq: III), a leading global technology research and advisory firm. FortressIQ, the San Francisco-based startup that uses AI-based computer vision to "learn" business tasks as they occur in real time, won the ISG Startup Challenge at the inaugural ISG Agile Enterprise Summit October 28 in Boston. Beth Bourg, FortressIQ's marketing director, delivered the winning pitch to an independent panel of judges, and was chosen the winner in a live audience poll. "The first-ever ISG Agile Enterprise Summit explored the benefits of becoming an agile organization and building a culture of continuous improvement," said Karen Healy, partner and global leader, ISG Events. "We were thrilled to hear compelling pitches on emerging solutions that increase efficiency and agility in new and exciting ways. The audience choice, FortressIQ, offers an innovative, automated solution to discover and document processes that are ripe for automation, saving both time and money."
Pankaj passionately believes in AI's ability to improve the human experience, and looks forward to a world bereft of mundane tasks, where people get to focus on being their best selves. Before founding FortressIQ, he was the CEO of ThirdPillar systems, where he designed and delivered lending platforms for commercial banks, processing billions of dollars in transactions. ThirdPillar was acquired by Genpact, the world's largest BPO company, where Pankaj went on to hold several senior management positions, culminating as a founding member of the company's AI lab in Palo Alto, California. Follow him on twitter, connect with him on LinkedIn or send him an email.
For financial institutions like banks, security is one of the topmost priorities as banks are under constant threat of frauds and hacks. Through AI, decreasing rates of false positives, preventing fraud attempts and lessening manual reviews of potential payment frauds is achieved. According to a recent survey, 'AI Innovation Playbook' published by PYMNTS in collaboration with Brighterion, 80% of fraud specialists who employ AI-based platforms believe the AI technology helps reduce payment frauds and prevent fraud attempts. This shows the scope of AI for the mitigation of payment frauds. Payment frauds are reduced through AI's ability to interpret trend-based insights through supervised machine learning, which is then joined with completely new knowledge achieved through unsupervised machine learning.
Do you want to know what works best in your conversations and why? Behavioral signal recognition can introduce a layer of sophisticated insights to your basic speech-to-text analytics. Voice holds a wealth of information beyond the words it pronounces. The key is in how something is said and what is the underlying intent. Managers need more than just data to be able to understand what makes a rep successful and how they can coach new recruits to replicate the performance of a successful rep.