Alliance Data Systems Corporation, a leading provider of loyalty and marketing solutions derived from transaction-rich data, announced that it is one of 325 companies across 50 industries included in the 2020 Bloomberg Gender-Equality Index (GEI).Read Full Story
CAMPBELL, Calif.–(BUSINESS WIRE)–Resolve Systems®, the leader in enterprise IT automation and AIOps, today announced the promotion of Vijay Kurkal to Chief Executive Officer, effective immediately.Read Full Story
Customer Data Platforms help in broadening unified systems and accelerating purchase
A Customer Relationship Management (CRM) and Data Management Platform (DMP) are the most powerful technologies in any modern marketer’s tech stack. In 2017, statistics revealed that marketing technologies have advanced mostly around data management and customer data analytics.
Miaozhen Systems, a Chinese major third-party marketing data technology provider updates its Chinese digital marketing maps with the aim of helping advertisers make the most of their digital ad spend.
In 2019, global digital ad spend is predicted to rise by 17.6% to US$333.25 billion. In China, that percentage is even higher–22%, translating into US$79.82 billion.
The revenue of Intrusion Detection and Alarm Systems in the United States is expected to double its revenue to $8.27 million by 2023.
Moreover, the whole smart home market income in the United States is expected to keep growing in the future as well. The information was released by the recognized security site PreciseSecurity.com.
by BILL RICHOUXCritical decisions are being made continuously within large software systems. Often such decisions are the responsibility of a separate machine learning (ML) system. But there are instances when having a separate ML system is not ideal. In this blog post we describe one of these instances — Google search deciding when to check if web pages have changed.Read Full Story
Use of Bleed Air in Aircraft Pneumatic Systems: A Primer(taken from Chapter 6 on Pneumatic Systems from the 3rd Edition of the book “Aircraft Systems” by Ian Moir and Allan Seabridge)The use of aircraft engines as a source of high pressure, high temperature air can be understood by examining the characteristics of the turbofan engine.Read Full Story
This is the part 4 of 4 of the “Lessons learnt from building Data Science systems at Barclays” series.
Get the IT team very close to the data scientists. Ideally one member of the team should be a DevOps, or the new title DataOps. Read this article from InfoWorld: DevOps can take data science to the next level.
Some of the tech news I found interesting lately, and you might too: “In addition to making our systems more intelligent, we have to make them more intelligible too … AI systems to augment human capabilities … A human-centered approach is more important than ever.Read Full Story
Machine learning enables us to build systems that can predict the world around us: like what movies we’d like to watch, how much traffic we’ll experience on our morning commute, or what words we’ll type next in our emails.
There are many types of models and tasks.
TLDR: I review a recent systems paper from Google, why it is a wake-up call to the industry, and the recipe it provides for nonlinear product thinking.Read Full Story
To improve the safety of autonomous systems, MIT engineers have developed a system that can sense tiny changes in shadows on the ground to determine if there’s a moving object coming around the corner.
Autonomous cars could one day use the system to quickly avoid a potential collision with another car or pedestrian emerging from around a building’s corner or from in between parked cars.
Recommender systems have become a very important part of the retail, social networking, and entertainment industries. From providing advice on songs for you to try, suggesting books for you to read, or finding clothes to buy, recommender systems have greatly improved the ability of customers to make choices more easily.Read Full Story
As automated systems replace traditional business processes, a huge amount of data is being generated. Companies all around the world, from publishing houses to health care, are trying to unlock the value of data. Consequently, data science is becoming one of the most sought-after fields for young professionals all over the world.Recently, Data Science Dojo hosted a data science interview AMA.Read Full Story
Collaborative filtering is commonly used in recommender systems. The idea is if you have a large set of item-user preferences, you use collaborative filtering techniques to predict missing item-user preferences. For example, you have the purchase history of all users on an eCommerce website. You use collaborative filtering to recommend which products a user might purchase next.Read Full Story
The subscription-based business model is no longer the preserve of magazines and home security systems. Today, we’re seeing it employed in a variety of other markets, including everything from software to education to physical products.
In order for these operations to be profitable and sustainable, however, they require constant optimization.
NLP systems in health care are hard—they require broad general and medical knowledge, must handle a large variety of inputs, and need to understand context.We’re in an exciting decade for natural language processing (NLP). Computers will get as good as humans in complex tasks like reading comprehension, language translation, and creative writing.Read Full Story
Advanced artificial intelligence (AI) systems, humanoid robots and machine learning is not just in science fiction movies anymore. We come across this technological advancement in our everyday life. Today our cellphones, cars, TV-sets and even household appliances are using machine learning to improve themselves.Read Full Story
Building systems that have fairness properties and monitoring systems that do A/B testing on us.Session 2 of FAT*: my opinionated summary.Read Full Story