Cloud communications firm Twilio this afternoon reported Q3 revenue that topped Wall Street's expectations, and a surprise profit, and an outlook for this quarter's revenue that was higher as well. The one apparent blemish in the quarter was that the company's Dollar-Based Net Expansion Rate was 131%. That was down from 137% in the prior-year period. The report sent Twilio shares down 11% in late trading. "We had a terrific Q3, and we're really exicted about our set-up for Q4," said CFO Khozema Shipchandler, in an interview with ZDNet via Zoom following the report.
Algorithms now determine how much things cost. It's called dynamic pricing and it adjusts according to current market conditions in order to increase profits. The rise of e-commerce has propelled pricing algorithms into an everyday occurrence--whether you're shopping on Amazon, booking a flight, hotel or ordering an Uber. In this continuation of our series on automation and your wallet, we explore what happens when a machine determines the price you pay. This episode was reported by Anthony Green and produced by Jennifer Strong and Emma Cillekens. We're edited by Mat Honan and our mix engineer is Garret Lang, with sound design and music by Jacob Gorski. Jennifer: Alright so I'm in an airport just outside New York City and just looking at the departures board here seeing all these flights going different places… It makes me think about how we decide how much something should cost… like a ticket for one of these flights. Because where the plane is going is just part of the puzzle. The price of airfare is highly personalized.
Today, Informatica is going public, once again. The company, which went private in a $5.3 billion deal back in 2015, expects to raise $841 million on this round. Informatica's emergence from private equity comes as the company has transitioned to a cloud-first business where subscriptions have climbed to nearly half of overall revenue. Informatica's journey into private equity has been a familiar one: a company seeks to transform its core business without the pressure of having to deliver quarterly results to Wall Street. It's a well-trod path that has been followed by a wide range of household names, and most recently in the data world, Cloudera.
Morgan basked in the feel-good vibes of seeing people find each other--"I love love!"--and reveled in the real-life connections she was able to mastermind: multiple dates in her hometown of Portland, Oregon; someone who was thinking of flying to meet somebody in New York because of the thread; even a short relationship. Even today, people continue to add their pictures to the thread, seeking love all across the United States. If this feels a bit like old-fashioned matchmaking, it is. These operations are often ad hoc, based on platforms like Twitter and TikTok, and--unlike the dating apps, with their endless menu of eligible suitors--hyperfocused on one person at a time. Randa Sakallah launched Hot Singles in December 2020 to solve her own dating blues.
The lead scientist at Qatar Computing Research Institute or QCRI and also the author of the paper, Amin Sadeghi, says that the deep learning model can generalize from one city to another by adding multiple clues from unrelated data sources. With the help of AI, he says that the deep learning model can identify and predict the crash maps in uncharted territories. This dataset has included 7,500 kilometers from Los Angeles, Chicago, New York City, and Boston. When considered among the four cities Los Angeles was identified as the highest crash density after which follows New York City, Chicago, and Boston.
Tesla Inc. shares rallied to a record high on Friday, taking the electric-vehicle maker another step closer to joining an elite group of companies with market valuations of at least $1 trillion. The stock jumped as much as 1.8% to touch a high of $910, before closing at $909.68 in New York. That drove the Elon Musk-led automaker to briefly overtake the valuation of Facebook Inc. The trailblazing electric-vehicle maker is up 29% this year, ahead of S&P 500 Index's 21% advance. Meanwhile, Facebook took a heavy hit on Friday after a cautious outlook from Snapchat parent Snap Inc. weighed on the shares of ad-dependent technology companies.
Amazon Web Services are looking for a passionate and talented Applied Scientist who will collaborate with other scientists and engineers to develop computer vision and machine learning methods and algorithms to address real-world customer use-cases. You'll design and run experiments, research and develop new algorithms, and put your algorithms and models into practice to help solve our customers' most challenging problems. This role resides in AWS Professional Services, a unique consulting team where we pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you do not live in a market where we have an open Applied Scientist position, please feel free to apply. Our Applied Scientists can live in any location (D.C, Maryland, Virginia, Illinois, Pennsylvania, New York, New Jersey, Denver) where we have a WWPS Professional Service office.
Riverside Research is seeking a Research Scientist with a general background in machine learning and artificial intelligence and a focus on signal processing to join a dynamic, growth-focused Artificial Intelligence and Machine Learning Lab. The Lab performs research and development focused on providing solutions to the Defense and Intelligence Communities. As a key member of our Open Innovation Center, the research scientist will execute as well as assist in growing opportunities with government research organizations (e.g. DARPA, IARPA, service labs, etc.), perform on our corporate-wide Independent Research & Development (IR&D) efforts in artificial intelligence and machine learning, manage existing R&D contracts, and transition technology into our other business units. The Research Scientist will work with team members located in the Dayton OH, Washington DC, New York City, and Boston office locations while reporting to the Director of the Artificial Intelligence and Machine Learning Lab of the Open Innovation Center Business Unit.
New York City has launched its first artificial intelligence (AI) strategy, with an emphasis on digital ethics. It aims to help the city establish a shared understanding of AI and capitalise on the benefits while managing the risks. The 116-page AI Strategy focuses on how to use AI to better serve residents; building AI know-how within government; modernising data infrastructure; city governance and policy around AI; developing partnerships with external organisations; and promoting equitable access to opportunities. It is the latest in a series of initiatives that aim to make New York City'future-ready', following on from the IoT Strategy and the Internet Master Plan. "As a global epicentre of innovation, New York City has a key role to play in shaping the future of AI," said New York City Chief Technology Officer, John Paul Farmer.
A massive disruption now appears imminent in one of the world's largest – and most important – industries. In much the same way that Amazon disrupted the retail business – and how PayPal disrupted the payments industry – one under-the-radar health technology company now seeks to transform the $11.85 trillion global health industry. By moving healthcare away from brick and mortar, traditional medicine into an AI-driven tool that offers unprecedented speed, efficiency, and accuracy... Investors still have a brief window of opportunity to get in on this transformational investment opportunity while it still flies beneath Wall Street's radar. But as you'll soon discover, this company's technology is so powerful that it could become a valuable addition to hundreds of millions of households worldwide. Whether most patients, providers, or large healthcare companies realize it or not, the healthcare industry is already in the early stages of significant change. That's because patients now desire access to more information – and better information – in the blink of an eye. In a recent survey of U.S. health consumers, 71% reported facing major frustrations through their experience with healthcare providers. Concerns ranged from difficulties scheduling appointments to impersonal visits.