Goto

Collaborating Authors

Information Management


Marketing Data Operations Manager

#artificialintelligence

We are looking for a Technical Data Analyst and Program Manager to build out our extended data collection and performance analysis activities. Your job will be to gather and analyze large amounts of raw information from both internal and external sources such as Salesforce, AWS, StackOverflow, Couchbase, GitHub, Google Analytics or custom APIs. You will establish routine reporting and analysis derived from that data, evaluating the trends of our KPI's such that we remain informed as we evolve our objectives. We will rely on you to extract valuable business insights from this work as well as lead cross-functional projects and discussions as program manager for teams that are influenced by this information. In this role, you should be highly analytical with a background in analysis, math and statistics.


Search Engine Optimization Complete Specialization Course

#artificialintelligence

Welcome to the World's best specialized SEO course ever. This is the only course in the world where you woll also learn about the technicalities of SEO and how to handle them. The content of this course is based on real world practices and checklists used by professionals in the SEO world. How to get a job in SEO? How to start your own digital marketing company?


tl;dr: this AI sums up research papers in a sentence

#artificialintelligence

TLDR generates one-sentence summaries of computer-science papers on the scientific search engine Semantic Scholar.Credit: Agnese Abrusci/Nature The creators of a scientific search engine have unveiled software that automatically generates one-sentence summaries of research papers, which they say could help scientists to skim-read papers faster. The free tool, which creates what the team calls TLDRs (the common Internet acronym for'Too long, didn't read'), was activated this week for search results at Semantic Scholar, a search engine created by the non-profit Allen Institute for Artificial Intelligence (AI2) in Seattle, Washington. For the moment, the software generates sentences only for the ten million computer-science papers covered by Semantic Scholar, but papers from other disciplines should be getting summaries in the next month or so, once the software has been fine-tuned, says Dan Weld, who manages the Semantic Scholar group at AI2. Preliminary testing suggests that the tool helps readers to sort through search results faster than viewing titles and abstracts, especially on mobile phones, he says. "People seem to really like it."


tl;dr: this AI sums up research papers in a sentence

Nature

TLDR generates one-sentence summaries of computer-science papers on the scientific search engine Semantic Scholar.Credit: Agnese Abrusci/Nature The creators of a scientific search engine have unveiled software that automatically generates one-sentence summaries of research papers, which they say could help scientists to skim-read papers faster. The free tool, which creates what the team call TLDRs (the common Internet acronym for'Too long, didn't read'), was activated this week for search results at Semantic Scholar, a search engine created by the non-profit Allen Institute for Artificial Intelligence (AI2) in Seattle, Washington. For the moment, the software generates sentences only for the ten million computer-science papers covered by Semantic Scholar, but papers from other disciplines should be getting summaries in the next month or so, once the software has been fine-tuned, says Dan Weld, who manages the Semantic Scholar group at AI2 and led the work. Preliminary testing suggests that the tool helps readers to sort through search results faster than viewing titles and abstracts, especially on mobile phones, he says. "People seem to really like it."


African Bank Selects CallMiner to Enhance Customer Service

#artificialintelligence

CallMiner, the leading provider of speech and customer interaction analytics, announced that African Bank has selected the CallMiner Eureka platform to better extract and operationalize insights from voice-based customer interactions. "With CallMiner, we will be able to create an even stronger customer experience by analyzing what our customers need, how they feel, and what we need to do, to deliver exceptional value and service," said Basani Maluleke, CEO of African Bank. "African Bank is fast becoming a pioneering data-driven South African organization and our partnership with CallMiner is another part of our journey to make our organization synonymous with data excellence and to enhance our digital transformation. At the core of our data strategy are our customers – to create an inclusive, personalized banking experience for them and we believe CallMiner provides another tool to bring us one step closer to achieving this." CallMiner Eureka leverages artificial intelligence and machine learning to analyze every customer interaction, across all channels, to automatically uncover actionable insights and intelligence that organizations can use to improve business decisions.


How AI Is Rapidly Reshaping The Data Center Market

#artificialintelligence

With cloud technology advancing at a brisk clip, artificial intelligence has become something of a double-edged sword for data centers. Advanced algorithms are placing new demands on servers, requiring heightened power, space and cooling in data centers. But they're also part of the solution, with software boosting efficiency and raising the bar for data center operators. "With businesses of every size looking to leverage AI, particularly medium-sized businesses that can't afford extensive in-house data center networks, the demand for modernized data centers will only increase," Nuclear Research analyst Daniel Elman said. "Of course, a large part of that increase will be serviced by the largest cloud vendors ... but it leaves opportunity for other players to enter the market as well to meet the growing demand."


TL;DR: This AI summarizes research papers so you don't have to

#artificialintelligence

Reading scientific papers is a tough job. It might contain language and sections that you might not understand, and not all of it would be interesting to you. My colleague Tristan is great at traversing through these papers, but I'm just a novice. So, I would want a quick summary of a research document to decide if I want to dedicate more time reading it. Thankfully, researchers at the Allen Institute for Artificial Intelligence have developed a new model to summarize text from scientific papers, and present it in a few sentences in the form of TL;DR (Too Long Didn't Read). The team has rolled this model out to the Allen Institute's Semantic Scholar search engine for papers.


EdgeQ raises $51 million to fuse AI compute and 5G within a single chip – TechCrunch

#artificialintelligence

No, it's not bingo at your local silicon chip enthusiast meetup, and no, I am not trying to game Google's search algorithms (well, maybe just a bit). Rather, it's a combination of technologies that are predicted to become critical for the future of the Internet of Things across industries as diverse as shipping and security. One way to get all these technologies into single devices is just to agglomerate a bunch of off-the-shelf silicon chips and jam them into a product. Take a wireless radio chip, add some computing capacity, add some AI chip wizardly and voilà, you have yourself a modern IoT device. There's just one problem: These devices often have a lot of constraints.


What is next in Digital Marketing?: A 2021 Perspective

#artificialintelligence

Digital Marketing, one of the hot topics in the Martech arena, evolved as a pivotal aspect amidst the pandemic. But we should also remember that a new decade has arrived for the world as also for digital marketing strategies. The present situation of COVID 19 pandemic is acting as an optimizer for digital marketing, even Coca-Cola is also taking the help of digital marketing strategies to reduce the impact of the pandemic. With platforms like Tiktok and Instagram Reel revolutionizing the meaning of short video content and capturing the attention of generation Z, this year's trends will spark a dramatic shift in marketing technology and customer behavior around the globe. As a deep-rooted part of digital marketing, Pay Per Click (PPC) is well-known for providing a boost to ROI under the right circumstances.


How to build the right data architecture for customer analytics

#artificialintelligence

Retail is one of the most obvious places you'll have seen this. Since the onset of the pandemic, traditional bricks-and-mortar brands have rushed to optimise their digital offerings, boost home delivery and launch'click and collect' services as consumers have flocked online. In July, a landmark McKinsey report concluded that in just three months, we'd seen 10 years' worth of e-commerce growth. It's a trend that isn't likely to reverse. The digital customer experience is rapidly shifting from being a competitive differentiator to the key to a company's survival in a new, digital-first economy.