Posts Tagged ‘Amazon’

What’s Next In Knowledge-Driven Finance?

4791385567_4a146e78c7_o

Photo courtesy: https://www.flickr.com/photos/free-stock/

Next week in the U. K. members of the financial industry will be coming together at The Universal Strategy: Knowledge-Driven Finance Event, hosted by semantic technology vendor Ontotext. The event, says independent consultant in semantics and event organizer Jarred McGinnis, is aimed at giving participants “a snout to tail view of semantics in finance.”

The use cases, he says, are there, and to that end the panel will include presentations by Financial Times CTO John O’Donovan, who will discuss issues including how the publisher’s semantic approach is driving smarter topic pages. (The event actually takes place at The Financial Times site.) Also scheduled to be present is Mike Bennett, director at Hypercube and Semantics Lead at The EDM Council, which is a cross-industry group developing the Financial Industry Business Ontology (FIBO), and John Schlesinger, Chief Enterprise Architect at Temenos, which develops software for retail banking companies, including solutions that will leverage triple stores.

In a preview of his talk, Bennett spoke to The Semantic Web Blog that about the current state of FIBO affairs.

Read more

Clarabridge Goes Straight To The Customers’ Mouth To Analyze Call Center Interactions

cbridge logoCustomer experience management vendor Clarabridge wants to bring the first-person narrative from call center interactions to life for marketing analysts, customer care managers, call center leaders and other customer-focused enterprise execs. With its just released Clarabridge Speech, it now brings via the cloud a solution that integrates Voci Technologies’ speech recognition smarts with its own capabilities for using NLP to analyze and categorize text, sentiment and emotion in surveys, social media, chat sessions, emails and call center agents’ own notes.

Agent notes certainly are helpful when it comes to assessing whether customers are having negative experiences and whether their loyalty is at stake, among other concerns. But, points out Clarabridge CEO Sid Banerjee, “an agent almost never types word for word what the customer says,” nor will they necessarily characterize callers’ tones as angry, confused, and so on. With the ability now to take the recorded conversation and turn it into a transcript, the specific emotion and sentiment words are there along with the entire content of the call to be run through Clarabridge’s text and sentiment algorithms.

“You get a better sense of the true voice of the customer and the experience of that interaction – not just the agent perspective but the customer perspective,” Banerjee says.

Read more

Semantic Technology Jobs: Amazon

AmazonAmazon is looking for a Senior Business Intelligence Engineer in Seattle, WA. According to the post, “Excited by Big Data, Machine Learning, and Predictive Analytics? Interested in creating new state-of-the-art solutions using Big Data Analytics and Data Mining techniques to solve pressing business needs? Amazon is looking for an outstanding BIE for Global Workforce Insights. The candidate be working on leading-edge research and analysis to answer some of the most interesting questions about what is on the minds and in the hearts of Amazon’s global workforce. You will work closely with the business and technical teams to perform compelling analysis that delivers actionable results. You will build predictive models that have a direct impact on day-to-day decision-making.” Read more

Semantic Web Job: Software Development Engineer

Amazon Web Services logo Amazon Web Services is looking for a Software Development Engineer. The job description states, “Every day customers are moving complex workloads and applications to harness the power, availability, and scalability of Amazon Web Services (AWS). Being very customer focused, AWS wants to provide as friction-less a migration path to AWS as possible, to that end we are looking for software engineers to build a world class experience moving complex workloads and applications to AWS seamlessly with as much automation as possible. This is a tall order to discover, analyze, and automate the movement of complex, multi-layer, dependency rich applications to AWS.

Read more

Semantic Technology Job: Amazon

Amazon

Amazon is looking for a Research Scientist in Seattle, WA. According to the post, “Be at the center of Amazon innovation with Amazon Local! This daily deals marketplace offers customers discounts of up to 75% off desirable goods and services in their communities — over 100 regions throughout the United States. This rapidly-growing business within Amazon offers a creative, fast-paced, entrepreneurial work environment. We are looking for a practitioner in the Analytics field to a join a team of other research scientists who use data science/machine learning to build prediction and recommender systems that power the applications and business decisions for Amazon Local. The qualified candidate will call upon various supervised and unsupervised methods in order to: (1) analyze large datasets to identify attributes that directly influence deal quality, (2) understand customer preferences to generate predictions across various segments, and (3) build algorithms to automate predictive learning and drive real-time optimal recommendations.” Read more

Amazon’s Firefly for New Fire Phone offers ‘Semantic Boosting’

fire phone

Megan Geuss of Ars Technica reports, “At a Wednesday press conference in Seattle, Amazon announced a service that would go along with its newly debuted Fire Phone. Called Firefly, this new technology is packaged in an app that can identify up to 100 million objects. For the most part, this feature will integrate with the Amazon marketplace, allowing you to take photos of products and buy them from Amazon, but the technology used to make it run will also be available to developers in an SDK available now… Using Firefly, a button on the side of the Fire Phone will instruct the camera to recognize a phone number, a book, a DVD, a URL, a QR code, and more. Additionally, Firefly will be able to listen for music (like Shazam) and identify a song that’s playing in the ambient noise around you.” Read more

Load-Control: Semantria Takes On The Social Media Surge Infrastructure Challenge

4091128553_cf90c74e5e_z

Image courtesy: Flickr/Webtreats

Semantria is tackling some of the challenges that come with being a cloud-based social media services provider startup. The company offers a text and sentiment analysis service (which you can read about here) to clients and partners. That includes companies like Sprinklr, which manages the social customer experience for other brands with the help of Semantria’s API for analyzing social signals about those clients.

The good news is that with growing social data volumes, there’s a growing need for semantically-oriented services like Semantria’s that help businesses make sense of that information for themselves or their clients. The downside is that a huge surge in volume of social mentions around a company, its product, or anything else can hit such services hard in the pocketbook when it comes to acquiring the cloud infrastructure to handle the tidal wave.

“Everybody suffers from this kind of thing,” says Semantria founder and CEO Oleg Rogynskyy. “We experience it daily.”

Read more

Amazon Fires Up Fire TV Featuring Voice Search And Content Viewing Prediction Capabilities

retAmazon today unveiled its Fire TV streaming video device. During the announcement event in Manhattan, company vice president Peter Larsen called the $99 set top box “tiny, incredibly powerful and unbelievably simple.” For users, that power and simplicity are designed to be evident in features such as the device’s ability to project and preload the content users will want to see and to navigate via voice search.

A statement by Amazon founder and CEO Jeff Bezos reads that, “Our exclusive new ASAP (Advanced Streaming and Prediction) feature predicts the shows you’ll want to watch and gets them ready to stream instantly.” Movies or tv shows are buffered for playback before users hit the play button, the company says; those choices are made by analyzing users’ watch lists and recommendations. As users’ viewing habits change, the caching prediction algorithm will adjust accordingly, and personalization capabilities should get better over time as buyers use the Fire TV device.

Read more

Semantic Technology Jobs: Amazon

Amazon

Amazon.com is looking for a Research Scientist, Social Shopping Technology and Machine Learning in Seattle, WA. The post states, “Amazon needs a seasoned research scientist to join customer reviews development team in Seattle, WA. We own Amazon’s famous Customer Reviews – one of the world’s largest community driven products. User contributed reviews are a tremendously visible aspect of Amazon’s brand and a key competitive advantage. Millions of shoppers use customer reviews every day to make buying decisions through our global websites and mobile apps. This translates to a direct impact to Amazon’s core business and customer experience… You’re a scientist looking for a career where you’ll be able to lead, to deliver, and to influence. Read more

Off Semantic Tech Goes Into The Wild Blue Yonder

rsz_amprimeLook, up in the sky! It’s a bird, it’s a plane, no – it’s an Amazon drone!

Admittedly, Amazon Prime Air’s unmanned aerial vehicles in commercial use are still a little ways off. But such technology – along with other recent innovations, such as the use of unmanned aircraft in crop-dusting or even Department of Homeland Security border applications, or future capabilities to extend the notion of auto-piloting in passenger airplanes using autonomous machine logic to control airspace and spacing between planes –needs to be accounted for in terms of its impact on the air space. The Next-Generation Air Transportation System is taking on the change in the management and operation of the national air transportation system.

And semantic technology, natural language processing, and machine learning, too, will have a hand in helping out, by fostering collaboration among the agencies that will be working together to develop the system, including the Federal Aviation Administration, the U.S. Air Force, U.S. Navy, and the National Aeronautics and Space Administration, under the coordination of the Joint Planning and Development Office. These agencies will need to leverage each other’s knowledge and research, as well as ensure – as necessary – data privacy.

Read more

NEXT PAGE >>