Consider the following problem: given a database of records indexed by names (e.g., name of companies, restaurants, businesses, or universities) and a new name, determine whether the new name is in the database, and if so, which record it refers to. This problem is an instance of record linkage problem and is a challenging problem because people do not consistently use the official name, but use abbreviations, synonyms, different order of terms, different spelling of terms, short form of terms, and the name can contain typos or spacing issues. We provide a probabilistic model using relational logistic regression to find the probability of each record in the database being the desired record for a given query and find the best record(s) with respect to the probabilities. Building on term-matching and translational approaches for search, our model addresses many of the aforementioned challenges and provides good results when existing baselines fail. Using the probabilities outputted by the model, we can automate the search process for a portion of queries whose desired documents get a probability higher than a trust threshold. We evaluate our model on a large real-world dataset from a telecommunications company and compare it to several state-of-the-art baselines. The obtained results show that our model is a promising probabilistic model for record linkage for names. We also test if the knowledge learned by our model on one domain can be effectively transferred to a new domain. For this purpose, we test our model on an unseen test set from the business names of the secondString dataset. Promising results show that our model can be effectively applied to unseen datasets. Finally, we study the sensitivity of our model to the statistics of datasets.

Seattle-based Opanga Networks says it has found a way to minimize wireless network congestion and improve traffic flow by using machine learning algorithms in the network core. The company's software is being used today in 3G and 4G networks to make them more efficient without requiring more spectrum Basically, Opanga's software platform is deployed in the packet core. The software, which can run over existing hardware or new COTS hardware, uses machine learning to identify what Opanga calls "elephant flows." These are large users of capacity. According to Opanga CEO Dave Gibbons, about 3 percent of data sessions on a wireless network generate about 60 percent of traffic.

The Galaxy S9 may have been a modest evolution of its predecessor, but you might not get to level that accusation against the S10. Korean financial news outlet The Bell claims that the Galaxy S10 (codenamed "Beyond") will include an in-display fingerprint reader similar to devices like the Oppo Find X or Vivo Nex. You wouldn't have to lift up your phone and hunt for the reader on the back. It's reportedly "considering" an iPhone X-style face recognition system at the same time, so you might even have a choice of cutting-edge biometric sign-ins. This switch might lead to a casualty, however: the iris scanner could be going away.

To accomplish this task, A.I. systems are necessary to gather the data and present it in a way that's digestible to many different teams within a telecom organization. For telecommunications companies to perfect the customer-centric process and genuinely personalize their messaging and marketing strategies, they need to focus on machine learning systems to aid marketers in getting the brand-to-customer communication right. This is where the successful telecommunication companies have to pivot their focus. Since the beginning, telecom industries have fueled human-to-human communication. Companies like AT&T, Verizon, and Sprint would provide a phone or internet service to consumers or businesses, and everyone would go on their way.

Verizon's FIOS fiber optic broadband keeps millions of US homes online. However, monitoring stability and reacting to faults and outages which affect customer experience takes huge amounts of resources. Until recently, Verizon primarily relied on customer feedback to understand when the speed and quality of its service was falling short of expectations. In recent years, however, following a large investment in analytics and AI-driven technology such as machine learning – in part subsumed through the company's 2017 acquisition of Yahoo! and it's research units – a different approach is bringing impressive results. Now it's predictive analytics algorithms monitor 3GB of data every second streaming from millions of network interfaces – from customers' routers to an array of sensors gathering temperature and weather data, and software which "listens in" on operational data, such as billing records.

Increasing retention by just 10 percent will boost your business value by more than 30 percent. And AI is what can take you there, helping you anticipate customer needs, create personalized campaigns, identify high-value customers and more. Learn how to do it with marketing automation platforms powered by AI when you join this VB Live event! "Mobile marketers are generally using only five percent of their available data," says Kara Dake, VP of Growth and Partnerships at CleverTap. "You're gathering a ton of information, but it's a challenge, knowing what to do with all that data, and so many data points."

Verizon's FIOS fiber optic broadband keeps millions of US homes online. However, monitoring stability and reacting to faults and outages which affect customer experience takes huge amounts of resources. Until recently, Verizon primarily relied on customer feedback to understand when the speed and quality of its service was falling short of expectations. In recent years, however, following a large investment in analytics and AI-driven technology such as machine learning – in part subsumed through the company's 2017 acquisition of Yahoo! and it's research units – a different approach is bringing impressive results. Now it's predictive analytics algorithms monitor 3GB of data every second streaming from millions of network interfaces – from customers' routers to an array of sensors gathering temperature and weather data, and software which "listens in" on operational data, such as billing records.

Amazon already has quite a few Motorola phones in its Prime Exclusive roster, and now it's adding two more to its lineup. The e-commerce giant now offers the Moto G6 Play and Z3 Play as unlocked, Alexa-enabled devices that you can use with Verizon, AT&T, T-Mobile and Sprint lines. You can summon Alexa on both phones by double pressing the power button when they're unlocked or by a long press on the home button if you set it as the default assist app instead of Google Assistant. For a limited time, you can also get a free Moto Smart speaker with a Z3 Play, so you can access the voice assistant hands free. If you'll recall, the Moto G6 is the more affordable version of the regular G6 launched in April.

He has more than 20 years of experience in the telecommunications, IT Infrastructure, and security industries. Previously he held positions as general manager data center division and senior vice president core technology at Trend Micro. Before that John was senior director of product management at Lucent Technologies. He has lived and worked in Europe, Asia, and the United States. John graduated with a bachelor of telecommunications engineering degree from Plymouth University, United Kingdom.

When you think of the power and reach of voice through the lens of technology, you likely think back to simpler times--a time when whole families would gather in front of the radio and listen to Orson Welles' gripping narration of "War of the Worlds," or a time when the only contact you had with your crush was through a landline that you constantly had to fight off your annoying siblings to use. Telephony and radio were huge tech empires built on the power of voice, but as technology evolved, they quickly started becoming obsolete. Video killed the radio star, talking morphed into texting and voice as a tech powerhouse was cracking. But then the tides started turning yet again. Podcasts burst onto the scene and became a surprise hit.