Summary: There have been several stories over the last several months around the theme that AI is about to hit a wall. That the rapid improvements we’ve experienced and the benefits we’ve accrued can’t continue at the current pace. It’s worth taking a look at these arguments to see if we should be adjusting our plans and expectations.
Added by William Vorhies on December 16, 2019 at 9:24am —
A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving sophisticated threats from hackers etc. Anomaly detection systems can be applied across various business scenarios like monitoring financial transactions of a fintech company, highlighting fraudulent activities in a network, e-commerce price glitches among millions of products, and so on. Anomaly detection system can work… Continue
Added by Avinash Udaykumar on May 27, 2019 at 2:30am —
Cost driver: One of the key drivers of cost for ecommerce businesses is the last mile delivery charges. Consumers have the option to switch between e-retailers depending on their willingness to pay delivery charges, which is generally significantly low. This notion puts the power into the hands of the customer. Delivery charges, when added just before payment, makes the customer rethink and is one of the reasons for… Continue
Added by Avinash Udaykumar on April 9, 2019 at 3:00am —
Twitter Data Collection
Twitter is a well-known social media platform in which users are allowed to create a unique account and post tweet on the topics of his/her taste. The popularity of this platform is growing and many users post tweets regarding their experience of the products or services they used. People are posting opinions and experience about the brand they have used, whether they are satisfied with the product or service and also their opinions are shared… Continue
Added by Siddhaling Urolagin on December 21, 2018 at 10:46pm —
Machine learning is the branch of computer science and a subfield of Artificial Intelligence that utilizes past data to learn from and use its knowledge to make future decisions. Machine learning is at the intersection of computer science, engineering, and statistics. The goal of machine learning is to generalize a detectable pattern or to create an unknown rule from given examples. Continue
Machine learning is broadly classified into three categories but nonetheless, based on the…
Added by Malvika Mathur on December 8, 2018 at 11:00pm —
Since releasing the University of San Francisco research paper on “How to Determine the Economic Value of Your Data” (EvD), I have had numerous conversations with senior executives about the business and technology ramifications of EvD. Now with the release of Doug Laney’s “Infonomics” book that builds upon Doug’s EvD work at Gartner, I expect these conversations to intensify. In fact, I just traveled to Switzerland to discuss the potential business and technology…
Added by Bill Schmarzo on November 1, 2017 at 11:00am —
The post 'Top programming languages that will be most popular in 2017' was originally posted on the HackerEarth blog.
Which is the most preferred programming language or the top programming languages to learn across the globe? How do we judge it and what should be the criteria?
'By most preferred language, we do… Continue
Added by ARPIT MISHRA on December 13, 2016 at 9:00pm —
Industrial Internet of Things (IIoT) s a system that integrates complex machines with high-end software programs and sensors for analyzing data to increase productivity and reduce operational time and costs. IIoT systems differs from Internet of Things (IoT) systems. Failure in IIoT systems would lead to disastrous situations where as in IoT systems the failure would barely lead to emergency situations. IoT systems are designed at consumer level device such… Continue
Added by Aman on August 21, 2016 at 11:00pm —
It has been estimated that the Internet of Things (IoT) will contain 26 billion devices by 2020 (according to Gartner, Inc.), while Cisco’s CEO puts the commercial opportunity from these devices to reach $19 trillion. But behind the glorious financial opportunities is a new community of data, and a complex testing challenge to help support those devices. Usually, IoT is categorized based… Continue
Added by Manoj on June 2, 2016 at 8:30pm —
Regardless of your level of experience with data, you need to know about predictive analytics. This type of analytics involves sifting through existing data to see if there are any patterns to be discerned. If there are, you then look to see if these patterns can be used to determine any trends or even predict how a scenario will turn out. Predictive analytics aren’t… Continue
Added by Matt Ritter on January 26, 2016 at 4:30am —
Celebrate the Big Data Problems – #1
Daily we are facing many big data problems in production, PoC, and more perspective. Do we have any common repo to collect and share? No, as we know we don’t have any. As always dataottam is looking forward to share the learnings with community to celebrate their similar, same kind of problems. And… Continue
Added by Kumar Chinnakali on January 15, 2016 at 11:30pm —
Did you know that athletes are not only monitored by cameras on stadiums, but also by many quirky devices such as accelerometers, heart rate sensors and even local GPS-like systems? Indeed, Big Data and modern technologies are currently revolutionizing sports and even powering the Fantasy Sports… Continue
Added by Jure Rejec on January 11, 2016 at 4:00am —
Understanding how data converts from data to information to intelligence can be seen in the flow across the databases in an enterprise. What is a data warehouse? How do we get Business Intelligence? In this video I explain the high level view of how large corporations like Dell evolve their data to the front-end BI applications.
Added by Mitchell A. Sanders on August 27, 2013 at 4:30pm —