Developments in Artificial Intelligence (A.I.) are happening faster today than ever before. However, the nature of progress in A.I. is such that massive technological breakthroughs…
Two former CAOs Make a Compelling Case for the CAO to Report to the CEO to build out an AI and Data Science Accountability COE.
Anthony Branda, MBA, Ph.D., Kevin Kramer, Ph.D.
Steve Urkel and Urkelbot, whose intelligence doubled every 2 minutes. Image Credit: ABC’s Family Matters
Steve Urkel from the world-famous ABC’s sitcom Family Matters was not a Data Scientist because in the 90’s we did not call them like that. But the nerdy teenage Urkel is no…Continue
Added by Pedro URIA RECIO on September 14, 2018 at 3:02am — No Comments
With the rise of IoT devices (Internet of Things), being able to analyze and visualize live streams of data is becoming more and more important. For example, you could have sensors like thermometers in machines or portable medical devices like pacemakers, continuously streaming data to a streaming service like Kafka. PixieDust makes it easier to work with live data inside Jupyter Notebooks by providing simple integration APIs to both the PixieApp…Continue
Added by Packt Publishing on August 16, 2018 at 1:30am — No Comments
Added by Matthew Gierc on August 4, 2018 at 10:30am — No Comments
The performance of the neural network improves with an increasing volume of training data. With more and more devices generating data that can potentially be used for training and model generation, the models are getting better at generalizing the stochastic environment and handling complex tasks. However, with more data and more complex structures for the deep neural networks, the computational requirements increase.
Even though we have started leveraging GPUs for deep neural network…Continue
Added by Packt Publishing on June 13, 2018 at 12:30am — No Comments
Sales Forecasting: Science or Instinct?
Recently, we had talked about marketing automation, a digital transformation in the field that involved both artificial intelligence and machine learning. Even Natural Language Processing (NLP) has come a long way, enough to change the content marketing game. But while marketing has shifted to a digital…Continue
Added by Jay Nair on June 5, 2018 at 5:30pm — No Comments
Technology is known to shift landscapes, even change the game. We saw that when the internet exploded in scale and popularity, as computers became smarter, and the world goes through the digital transformation. An easy example is in traditional marketing, which now borders on the irrelevant, unable to hold a candle to its more modern counterparts.
Added by Jay Nair on May 18, 2018 at 4:30pm — No Comments
Machine learning and artificial intelligence (AI) are all the rage these days — but with all the buzzwords swirling around them, it's easy to get lost and not see the difference between hype and reality. For example, just because an algorithm is used to calculate information doesn’t mean the label…Continue
The age of Artificial Intelligence (AI) is almost upon us. Rapid developments in machine learning have allowed us to build better, smarter machines that are capable of making decisions and handling tasks similar to humans.
Some of these developments…Continue
Added by Ronald van Loon on May 2, 2018 at 10:00pm — No Comments
Enterprises are learning fast about the relevance and use of AI and Cognitive Computing platforms. Before adopting AI and Cognitive Computing platforms, enterprises must focus on designing the right strategy for their business. A data-driven strategy is very important to derive the maximum benefit from the platform that will help to interpret data and provide…Continue
Added by Ronald van Loon on April 17, 2018 at 12:00am — No Comments
Working 24 hours a day, 365 days a year across more than 130 countries, Woebot is undoubtedly a busy therapeutic chatbot. The good news is that Woebot recently secured $8 million to gain access to mental health care worldwide.
The world’s first…Continue
Added by Deena Zaidi on March 17, 2018 at 2:00pm — No Comments
As everyone knows Machine learning studies computer algorithms for learning to do stuff. We might, for instance, be interested in learning to complete a task, or to make accurate predictions, or to behave intelligently. The learning that is being done is always based on some sort of observations or data, such as examples…direct experience, or instruction. So in general, machine learning is about learning to do better in the future based on…Continue
Added by Jayesh Bapu Ahire on March 3, 2018 at 6:00am — No Comments
The manufacturing industry has always has been open to adopting latest technologies. Industrial robots and drones have been a part of the manufacturing industry subsequently since 1960s. The next automation revolution is just around the turn and the US Manufacturing Sector is awaiting this technological advancements eagerly. The adoption of AI by the companies can keep…Continue
Added by Alisha Wilson on March 1, 2018 at 1:30am — No Comments
Libratus, the artificial intelligence (AI) engine designed by Professor Tuomas Sandholm at Carnegie Mellon University (CMU) and his graduate student Noam Brown has made an impression on Jason Les, one of the world’s top poker players. Poker News, the poker industry’s online news magazine, recently interviewed Les. A couple questions were telling when asked about which is a better name for his firstborn child and which is the more annoying opponent, Claudico or Libratus. For both questions,…Continue
Added by Ken Strandberg on January 9, 2018 at 3:00pm — No Comments
Premise: How will the traditional car industry create and extract customer value in the future when the source of that value is no longer the vehicle itself?
An increasingly digital economy is overwhelming every industry, and no business, from the largest legacy institutions to plucky start-ups, is safe. To survive, businesses must embrace digital transformation. For those who haven’t, we have already seen what happens to them. Once…
Over the years, financial industries have had a long track record of managing data and applying analytics to optimizing customer relationships and developing new services. Fortunately more and more life science companies have begun to fully embrace as well as seize upon the opportunities to organize and apply their data in a systematic way, be it drug development or patient care challenges.
Big data has taken off in a big way. Now, most organizations irrespective of the industry…Continue
Added by Herman Morgan on January 2, 2018 at 10:00pm — No Comments
My good friend Vinnie participates in an automobile insurance program that rewards him for good driving behaviors; the better driving behaviors he exhibits, the more money he saves on insurance. You stick a device into the vehicle’s diagnostic port (usually under the steering wheel in most vehicles manufactured after 1996), and the automobile insurance company tracks your driving behaviors and offers you automobile insurance discounts based upon the quality of your…
This paper enlightens the way companies can design Intelligent System to understand their customers’ sentiments better to improve their experience, which will help the businesses change their market position.
Sentiment analysis is widely acknowledged in the web and social media monitoring. It allows businesses to gain a comprehensive public opinion on the organization and its services. The ability to deduce insights from the text and emoticons from social media is a…Continue
Added by Valiance Solutions on December 20, 2017 at 1:30am — No Comments
Data Monetization! Data Monetization! Data Monetization!
It’s the new mantra of many organizations. But what does “data monetization” really mean, how do you do it, and more importantly, who in the organization owns the job of “data monetization”?
The role of Chief Data Officer (CDO) would seem to be a godsend to answer the data monetization challenge. They should be the catalyst in helping organizations to…