Latest news with #Snowplow
Pink Villa
01-08-2025
- Entertainment
- Pink Villa
Newswrap, July 31: From Jeremy Renner eyeing his Marvel return to Mohit Suri calling Ahaan Panday ‘full chapri'
The day's headlines feature Jeremy Renner, Ahaan Panday, and Mohanlal. While the Marvel star opened up on the possibilities of Hawkeye 2, Ahan Panday was called 'chapri' by his Saiyaara director. Here's a daily rundown of the entertainment news. Jeremy Renner eyeing a Marvel return? Jeremy Renner is set to return to the Marvel Cinematic Universe after recovering from the 2023 Snowplow accident. The actor revealed that he is sure of getting back to the screens with Hawkeye season 2. While speaking to Variety, Renner stated, 'I'm sure we'll end up doing Season 2 [of 'Hawkeye'] and do other things. And I'm happy to do it. My body's getting ready for something like that. I don't know if anybody wants to see me in tights, but my body will look good in the tights.' The movie star also claimed that he is ready to take on the action sequence as well. Mohit Suri calls Saiyaara star Ahaan Panday 'chapri' The Saiyaara director, Mohit Suri, has spilled the beans about Ahaan Panday 's personality. Presenting the audience with the actor's other side, the filmmaker claimed that Panday is a 'full chapri.' While speaking to Komal Nahata, Suri shared that Ahaan is a boy who is loud, energetic and someone who would dance for the front benchers. As for the film, Siayaara is ruling the box office, as the fans are showering love on the newcomers. Bigg Boss Malayalam to hit digital screens soon Mohanlal-hosted Bigg Boss Malayalam is set to return to the digital screens with season 7. The fans will be able to catch all the drama from the controversial house from August 3 on JioHotstar. Sharing the update over the upcoming show with the fans, the streaming platform posted, 'Bigg Boss Season 7 inni moonu divasangal mathram (Bigg Boss Season 7 in just 3 days). Bigg Boss Season 7 – Grand launch on August 3rd at 7 PM on JioHotstar and Asianet. #BBS7 | Full Time On | 24x7 Streaming.' Until the last season, the reality show would begin by the month of March. However, this year, the delay has been caused by the selection of the contestants. Jo Jung Suk and Gummy expecting their second child The musician Gummy and her husband, Jo Jung Suk, are set to welcome their second child. The couple, who tied the knot in 2018, after being in a long-term relationship, are already parents to a five-year-old. According to the media reports, the singer is already halfway through her pregnancy. Further details about the couple stepping into the new phase of their lives will be rolled out soon.
Business Wire
28-05-2025
- Business
- Business Wire
Snowplow Unveils Signals: Real-Time Customer Intelligence Infrastructure for AI-Powered Products
BOSTON--(BUSINESS WIRE)--Snowplow, the leader in customer data infrastructure, today announced the launch of Snowplow Signals, a real-time customer intelligence system that enables companies to build and deploy AI-powered customer experiences much faster. Signals provides applications with access to deep, real-time, trustworthy customer context — making it easier to hyper-personalize user journeys and equip AI agents to overcome the 'cold start problem' and drive more relevant interactions. 'Signals transforms one-off customer interactions into deeply personalized, proactive experiences.' — Todd Boes, Chief Product Officer, Snowplow Share Long trusted by data teams at leading digital-first companies, Snowplow is now expanding its platform to support product, engineering, and data science teams building customer-facing AI-powered applications — such as personalization engines, adaptive UIs, and agentic applications like AI copilots and chatbots. 'By infusing real-time behavioral context into an application's memory, Signals transforms one-off customer interactions into deeply personalized, proactive experiences that drive measurable lift in customer engagement, conversion, and lifetime value,' said Todd Boes, Chief Product Officer at Snowplow. 'We're proud to partner with leading brands as they harness Signals to deliver the next generation of customer-intelligent applications.' The Missing Link Between AI and Real-Time Customer Context As organizations race to embed AI into their products, many hit a common set of roadblocks: they struggle to reliably identify who each user is in real-time, understand their current behavior, anticipate their needs, and serve deeply personalized experiences accordingly. Existing data infrastructure often forces a trade-off — real-time speed without deep, trustworthy data, or deep, trustworthy data that is too slow to act on. Signals eliminates this compromise by providing extensible infrastructure for computing, retrieving, and acting on rich, well-governed customer data — both in-session and across historical context. Snowplow Signals includes three core capabilities: Profiles Store: Low-latency app and AI agent access to in-session and historical user attributes. The Profiles Store comes with two data processing engines to populate it: Streaming Engine: Calculates real-time user attributes (e.g. in-session activity) from live event streams. Batch Engine: Computes user attributes based on all of the historical customer data in your data warehouse or lakehouse (e.g. ML scores, lifecycle stage), including other customer data sets joined with behavioral data collected and processed by Snowplow. Interventions: Engine for triggering real-time personalized actions based on real-time customer behavior (e.g. in-app nudges, dynamic offers or pricing, and proactive assistance from AI agents). Fast-Start Tooling: Developer and data science tools to accelerate time-to-value, including Python and TypeScript SDKs for defining and retrieving user attributes and interventions, QuickStart guides, notebooks and code samples, and Solution Accelerators. Built for Digital Product and Engineering Teams Snowplow Signals is designed for teams building AI-powered products that want to deliver different experiences to different customers through the use of personalization and recommendation models and AI agents to drive revenue growth. What sets Snowplow Signals apart: Real-time personalization without compromise: Calculate and serve customer signals in-session with low latency — no trade-offs between speed and depth. Declarative customer intelligence: Easily define user attributes declaratively (e.g. in Git) and access them seamlessly in your apps via SDKs. Train once, deploy instantly: Use historical warehouse or lakehouse data to train ML features (i.e. customer attributes) and deploy them on live streaming data with no rework. Model-agnostic: Integrate any LLM or ML model into your application logic— no black-box vendor systems. Transparency and control: Run Signals in your cloud, with full governance, auditability, and data ownership. 'Snowplow Signals provides our product and engineering teams with the real-time customer intelligence infrastructure they need to build adaptive, AI-powered experiences into our FindMyPast product,' said Anup Purewal, Chief Data Officer at DC Thomson, a design partner for the release. 'With Signals, we can advance beyond static searches and singular actions to offer a genealogy experience that truly reflects the hobby — guiding each user's unique journey through our vast archives by proactively surfacing relevant content and suggesting next steps in real time. It's a game-changer for hyper-personalizing each user's deeply unique and personal experience.' Deliver AI-Powered Experiences with Trusted Customer Data Infrastructure Built on Snowplow's industry-leading real-time data pipeline and streaming engine, Signals ensures high-quality, consistent data across stream and warehouse — and delivers millisecond lookups with governance built in. The new product offering runs natively in Snowplow customers' clouds and will support deployments on AWS, Azure, and GCP, with compatibility for Snowflake, Databricks, and BigQuery. Customers benefit from robust governance, built-in security, and full transparency across their end-to-end customer data operations. Snowplow Signals marks a strategic expansion beyond data engineering to become foundational infrastructure for real-time, AI-driven digital experiences. As more companies move to productize AI, Signals positions Snowplow at the core of this transformation, unlocking new growth across product, engineering, and data science teams. Availability Snowplow Signals is currently available to select design partners, with general availability in Q3 2025. To learn more or request a custom demo, visit Snowplow is the global leader in customer data infrastructure for AI, enabling every organization to transform raw behavioral data into governed, high-fidelity fuel for AI-powered applications — including advanced analytics, real-time personalization engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviors, hyper-personalize customer experiences, and detect fraud in real time. Learn more:
Yahoo
28-01-2025
- Climate
- Yahoo
Here are the finalists for MnDOT's 'Name a Snowplow' 2025 contest
The Minnesota Department of Transportation has released the 50 finalists of its now-annual "Name a Snowplow" contest, even if snow has been mostly missing this winter. The public can now vote on their favorites between now and Friday, Feb. 7, with the eight most popular suggestions being announced in February. Winning names will then be added to eight plows operating in each individual MnDOT district over the next year. More than 7,300 submissions were put forward, with MnDOT said it "considered a variety of factors, including uniqueness, frequency of submissions, Minnesota-specific ideas, and names that would be easily identifiable and understandable to most audiences." Don't let it influence you in any way, but we're fans of Snowtorious B.I.G., 867-530 Brine, and I Came, I Thaw, I Conquered. Here's a look at the finalists: 867-530 Brine A Little Salty Aaron Brrrr, Sir Accumulus Removeus Albert Icestein Anthony Sledwards Austin Plowers Best In Snow Blizzard Buster Bob Chillin' Brrrtha Catch My Drift Chilly Eilish De-Iceman Cometh Don'tcha Snow Flake Superior Frosty The Snowplow Hot To Snow! I Came, I Thaw, I Conquered In My Blizzard Era James J. Chill Joe Plower Just Scraping By Lady Slippery Land of 10,000 Snows Little Plow on the Prairie L'Plow du Nord Make Snowbegone Meltin' John MinneSNOWta N'ice Miracle On Ice No Business Like Snow Business Oh Snow You Didn't! Orange Peeler Plowabunga! Plowin' In The Wind Plower Power Rudy GoBrrr Salt Me Baby One More Time Say It Ain't Snow SKOL Plow Snow Big Deal Snow Country For Cold Men Snow Place Like Home Snowtorious B.I.G. Sub Zero Hero The North Plow We're Off To See The Blizzard Winter Warrior You're Welcome
