Podcasts about anomalo

Che dire....oggi 29 ottobre sembrava una giornata di una assolata tarda primavera! Maledetto tempo ballerino sotto acido!

In 24 ore sono passato dalla malinconia settembrina alla depressione novembrina...ovvero...ho freddo!

E con un freddo anomalo è arrivata anche la classica malinconia settembrina.... Era inevitabile eh...ma confidavo ancora i qualche settimana di pace!

In questo episodio, Lorenzo Brigatti e Lorenzo Volpi passano in rassegna le notizie più significative della settimana.  In particolare:  L'andamento di Truth Media, neo-quotata società dell'ex presidente USA Donald Trump L'andamento negativo di Tesla dopo i dati del primo trimestre 2024 I titoli dello S&P500 che stanno faticando di più in questo anno 

This Week in Startups is brought to you by… NetSuite. The number one cloud financial system, bringing accounting, financial management, inventory, and HR, into ONE platform. Giving you ONE source of truth. Now through April 15th, NetSuite is offering a one-of-a-kind flexible financing program. Head to http://www.NetSuite.com/twist Squarespace. Turn your idea into a new website! Go to http://www.Squarespace.com/TWIST for a free trial. When you're ready to launch, use offer code TWIST to save 10% off your first purchase of a website or domain. Hubspot. Join thousands of companies that are growing better with HubSpot for Startups. Learn more and get extra benefits for being a TWiST listener now at  https://www.hubspot.com/startups Check out their report “How AI is Redefining Startup GTM Strategy” here: https://bit.ly/hubspot-ai-report * Timestamps: (0:00) Elliot Shmukler of Anomalo joins Jason to discuss growth tactics for businesses and startups. (2:33) A primer on modern-day growth for startups from expert Elliot. (6:20) Why referral programs are so powerful (9:59) NetSuite. Now through April 15th, NetSuite is offering a one-of-a-kind flexible financing program. Head to http://www.NetSuite.com/twist (11:39) The 2nd best thing you can do for the growth of your startup! (15:55) Exploring "Give to Get" programs with examples from Elliot's success. (20:36) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at http://www.Squarespace.com/TWIST (22:13) A critical growth action once you have your virality base is “conversion rate optimization”. (25:45) The most effective sign-up practived today. (30:31) Hubspot for Startups - Learn more and get extra benefits for being a TWiST listener now at  https://www.hubspot.com/startups. Check out their report “How AI is Redefining Startup GTM Strategy” here: https://bit.ly/hubspot-ai-report (31:52) The balance of adding friction in the user sign-up process. (33:57) Elliot dives deeper into his best growth hacks and the most frustrating moments while at InstaCart, Wealthfront, and LinkedIn. (39:51) Elliot discusses his new company, Anomalo, and its mission to solve data quality issues. * Check out Anomalo: https://www.anomalo.com/ * Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp * Follow Elliott: X: https://twitter.com/eshmu LinkedIn: https://www.linkedin.com/in/eshmu/ * Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Thank you to our partners: (9:59) NetSuite. Now through April 15th, NetSuite is offering a one-of-a-kind flexible financing program. Head to http://www.NetSuite.com/twist (20:36) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at http://www.Squarespace.com/TWIST (30:31) Hubspot for Startups - Learn more and get extra benefits for being a TWiST listener now at  https://www.hubspot.com/startups. Check out their report “How AI is Redefining Startup GTM Strategy” here: https://bit.ly/hubspot-ai-report * Great 2023 interviews: Steve Huffman, Brian Chesky, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland * Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow TWiST: Substack: https://twistartups.substack.com Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups * Subscribe to the Founder University Podcast: https://www.founder.university/podcast

Welcome back to Intellicast! On today's episode, Brian Peterson is joined by Jason Inderhees to talk about the latest market research and AI news!  Kicking off the episode, Jason and Brian discuss the latest Bellwether report from the Institute of Practitioners in Advertising (IPA), which found that market research budgets declined in Q4 2024. It also mentioned that the industry is expected to decrease by 1% over the next few years. Jason talks about how, while the overall industry may decline, pockets still experience growth, and you just need to uncover them. Next, the guys talk about the new appointment to the Toluna board. They ponder if this accelerates Toluna's move to target brands and offers them a full suite of solutions. The guys then switch gears a bit and talk about a $33 million investment in Anomalo, a California-based data quality platform. They talk about how the platform works and if there are any potential applications for the market research industry. The second half of the episode starts off with the debut of the new intro music for the AI News segment. Jason and Brian then dig into some recent AI news stories, including news that Publicis Group plans to invest 300 million Euros in AI over the next three years. The next few AI stories aren't market research-specific but could impact the industry and industries we serve. First, the guys talk about the recently issued executive order around AI that aims to ensure that the US leads the way and manages the risk of artificial intelligence. Brian and Jason postulate that this is probably just the start of AI legislation.  In the last story, they guys dive deep into news that New York had proposed a new law called the New York Robot Act that would impose a tax surcharge on “using technology to displace workers,” in an amount equal to taxes and fees that would have been paid on what an employee would have earned in the eliminated position. Jason and Brian are a bit on opposite sides of the debate on this one, but come out at the end seeing each other's point of view. Thanks for tuning in! We are proud to have collaborated with Brandtrust, combining their Narrative Inquiry and our Strategic Sample Blending to unlock deeper insights and richer data, enhancing our ability to understand the complex topic of mental health. Download the eBook today! Want to catch up on our blogs? Click here. Did you miss one of our webinars or want to get some of our whitepapers and reports? You can find it all on our Resources page on our website here. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we delve into Anomalo's recent $33 million funding round and how their innovative AI technology is revolutionizing the detection of data quality issues. We explore the implications of this advancement for businesses and the broader data science field, focusing on the potential benefits and challenges. Invest in AI Box: ⁠⁠⁠⁠⁠⁠⁠⁠https://Republic.com/ai-box⁠⁠⁠⁠⁠⁠⁠⁠ Get on the AI Box Waitlist: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://AIBox.ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠AI Facebook Community

Trovata Discarica Abusiva: L'Incredibile Rivelazione! Durante un'ispezione, alcune persone hanno rivelato qualcosa di anomalo: una discarica abusiva. Ecco che cosa hanno ulteriormente scoperto al suo interno!#breakingnews #ultimenotizie #notiziedelgiorno #notizie #cronaca #discarica #abusiva #incredibile #rivelazione #anomalo #scoperta

Dopo l'ultima perturbazione le temperature stanno temporaneamente calando, soprattutto nei valori minimi, grazie all'afflusso di correnti più fredde da nord est. Questa circolazione però durerà poco, da ovest infatti sta arrivando un potente campo di alta pressione che porta aria molto mite in quota.

Summary If your business metrics looked weird tomorrow, would you know about it first? Anomaly detection is focused on identifying those outliers for you, so that you are the first to know when a business critical dashboard isn't right. Unfortunately, it can often be complex or expensive to incorporate anomaly detection into your data platform. Andrew Maguire got tired of solving that problem for each of the different roles he has ended up in, so he created the open source Anomstack project. In this episode he shares what it is, how it works, and how you can start using it today to get notified when the critical metrics in your business aren't quite right. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management You shouldn't have to throw away the database to build with fast-changing data. You should be able to keep the familiarity of SQL and the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. With Materialize, you can! It's the only true SQL streaming database built from the ground up to meet the needs of modern data products. Whether it's real-time dashboarding and analytics, personalization and segmentation or automation and alerting, Materialize gives you the ability to work with fresh, correct, and scalable results — all in a familiar SQL interface. Go to dataengineeringpodcast.com/materialize (https://www.dataengineeringpodcast.com/materialize) today to get 2 weeks free! Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack (https://www.dataengineeringpodcast.com/rudderstack) Data projects are notoriously complex. With multiple stakeholders to manage across varying backgrounds and toolchains even simple reports can become unwieldy to maintain. Miro is your single pane of glass where everyone can discover, track, and collaborate on your organization's data. I especially like the ability to combine your technical diagrams with data documentation and dependency mapping, allowing your data engineers and data consumers to communicate seamlessly about your projects. Find simplicity in your most complex projects with Miro. Your first three Miro boards are free when you sign up today at dataengineeringpodcast.com/miro (https://www.dataengineeringpodcast.com/miro). That's three free boards at dataengineeringpodcast.com/miro (https://www.dataengineeringpodcast.com/miro). Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Andrew Maguire about his work on the Anomstack project and how you can use it to run your own anomaly detection for your metrics Interview Introduction How did you get involved in the area of data management? Can you describe what Anomstack is and the story behind it? What are your goals for this project? What other tools/products might teams be evaluating while they consider Anomstack? In the context of Anomstack, what constitutes a "metric"? What are some examples of useful metrics that a data team might want to monitor? You put in a lot of work to make Anomstack as easy as possible to get started with. How did this focus on ease of adoption influence the way that you approached the overall design of the project? What are the core capabilities and constraints that you selected to provide the focus and architecture of the project? Can you describe how Anomstack is implemented? How have the design and goals of the project changed since you first started working on it? What are the steps to getting Anomstack running and integrated as part of the operational fabric of a data platform? What are the sharp edges that are still present in the system? What are the interfaces that are available for teams to customize or enhance the capabilities of Anomstack? What are the most interesting, innovative, or unexpected ways that you have seen Anomstack used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Anomstack? When is Anomstack the wrong choice? What do you have planned for the future of Anomstack? Contact Info LinkedIn (https://www.linkedin.com/in/andrewm4894/) Twitter (https://twitter.com/@andrewm4894) GitHub (http://github.com/andrewm4894) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Anomstack Github repo (http://github.com/andrewm4894/anomstack) Airflow Anomaly Detection Provider Github repo (https://github.com/andrewm4894/airflow-provider-anomaly-detection) Netdata (https://www.netdata.cloud/) Metric Tree (https://www.datacouncil.ai/talks/designing-and-building-metric-trees) Semantic Layer (https://en.wikipedia.org/wiki/Semantic_layer) Prometheus (https://prometheus.io/) Anodot (https://www.anodot.com/) Chaos Genius (https://www.chaosgenius.io/) Metaplane (https://www.metaplane.dev/) Anomalo (https://www.anomalo.com/) PyOD (https://pyod.readthedocs.io/) Airflow (https://airflow.apache.org/) DuckDB (https://duckdb.org/) Anomstack Gallery (https://github.com/andrewm4894/anomstack/tree/main/gallery) Dagster (https://dagster.io/) InfluxDB (https://www.influxdata.com/) TimeGPT (https://docs.nixtla.io/docs/timegpt_quickstart) Prophet (https://facebook.github.io/prophet/) GreyKite (https://linkedin.github.io/greykite/) OpenLineage (https://openlineage.io/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Ancora giornate molto calde per il mese di ottobre. Ma ormai l'alta pressione africana inizia a cedere sul centro Europa e verrà "respinta" anche dal nord Italia. Correnti più fresche ed instabili dall'Atlantico avanzano verso il Mediterraneo. Nel fine settimana le nubi si faranno via via più presenti nei nostri cieli e forse ci sarà anche qualche debole precipitazione.

Il caldo fuori stagione non molla la presa.  Avremo ancora qualche giorno sereno con temperature quasi estive, per poi avviarci al fine settimana con passaggio di nuvole e piogge lievi in alcune aree della provincia. Dal fine settimana le temperature caleranno in maniera sensibile allineandosi con le medie del periodo.

Can Data Quality Scale in Larger Organizations? To know more about this listen to our podcast with Elliot Shmukler, Co-Founder & CEO, Anomalo In today's data-driven world, it is more important than ever for organizations to have high-quality data. However, as organizations grow, it can become increasingly difficult to ensure that data quality is maintained. In this podcast, we discuss the challenges of data quality in larger organizations and explore some of the best practices for ensuring that data quality scales. Elliot also shares Anomalo's approach to data quality. #data #datascience #analytics #theravitshow

Adam O'Donnell sits down with Elliot Shmukler, former Chief Growth Officer at Instacart and co-founder of Anomalo, to discuss the challenges data teams face in detecting and solving data quality issues using machine learning. Despite the initial failure of their product to meet customer needs, Anomalo was able to grow 10x ARR during the big recession by listening to customer feedback and building a fully-featured product to address gaps in their initial product. Elliot emphasizes the importance of talking to customers regularly and trusting your gut when experimenting with ideas. Through a shared Slack channel and regular office hours, Anomalo maintains its customer feedback loop, leading to successful customer experiences for their notable clients like Discover Financial, Buzzfeed, and Notion. This episode provides invaluable advice for any startup founder looking to develop a successful product that meets the needs of their customers.

Summary All data systems are subject to the "garbage in, garbage out" problem. For machine learning applications bad data can lead to unreliable models and unpredictable results. Anomalo is a product designed to alert on bad data by applying machine learning models to various storage and processing systems. In this episode Jeremy Stanley discusses the various challenges that are involved in building useful and reliable machine learning models with unreliable data and the interesting problems that they are solving in the process. Announcements Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it from idea to delivery. Your host is Tobias Macey and today I'm interviewing Jeremy Stanley about his work at Anomalo, applying ML to the problem of data quality monitoring Interview Introduction How did you get involved in machine learning? Can you describe what Anomalo is and the story behind it? What are some of the ML approaches that you are using to address challenges with data quality/observability? What are some of the difficulties posed by your application of ML technologies on data sets that you don't control? How does the scale and quality of data that you are working with influence/constrain the algorithmic approaches that you are using to build and train your models? How have you implemented the infrastructure and workflows that you are using to support your ML applications? What are some of the ways that you are addressing data quality challenges in your own platform? What are the opportunities that you have for dogfooding your product? What are the most interesting, innovative, or unexpected ways that you have seen Anomalo used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Anomalo? When is Anomalo the wrong choice? What do you have planned for the future of Anomalo? Contact Info @jeremystan (https://twitter.com/jeremystan) on Twitter LinkedIn (https://www.linkedin.com/in/jeremystanley/) Parting Question From your perspective, what is the biggest barrier to adoption of machine learning today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. The Data Engineering Podcast (https://www.dataengineeringpodcast.com) covers the latest on modern data management. Podcast.__init__ () covers the Python language, its community, and the innovative ways it is being used. Visit the site (https://www.themachinelearningpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@themachinelearningpodcast.com (mailto:hosts@themachinelearningpodcast.com)) with your story. To help other people find the show please leave a review on iTunes (https://podcasts.apple.com/us/podcast/the-machine-learning-podcast/id1626358243) and tell your friends and co-workers Links Anomalo (https://www.anomalo.com/) Data Engineering Podcast Episode (https://www.dataengineeringpodcast.com/anomalo-data-quality-platform-episode-256/) Partial Differential Equations (https://en.wikipedia.org/wiki/Partial_differential_equation) Neural Network (https://en.wikipedia.org/wiki/Neural_network) Neural Networks For Pattern Recognition (https://amzn.to/3k0Mpv8) by Christopher M. Bishop (affiliate link) Gradient Boosted Decision Trees (https://developers.google.com/machine-learning/decision-forests/intro-to-gbdt) Shapley Values (https://christophm.github.io/interpretable-ml-book/shapley.html) Sentry (https://sentry.io) dbt (https://www.getdbt.com/) Altair (https://altair-viz.github.io/) The intro and outro music is from Hitman's Lovesong feat. Paola Graziano (https://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Hitmans_Lovesong/) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/)/CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0/)

Data quality has a lot of nuance and challenges. Jeremy Stanley (Co-founder & CTO at Anomalo) joins the show to chat about the hard parts of data quality. We also discuss his ideas on the future of data quality. #dataquality #data #dataengineering #machinelearning

Le prime pagine dei principali quotidiani nazionali commentate in rassegna stampa da Davide Giacalone. Puntin manda più soldati al fronte e l'orrore infinito in Iran Siamo tornati a seguire i consigli della rivista Starbene. Ci ha raggiunto la sua direttrice Francesca Pietra. Oggi in primo piano influenza, raffreddore e malanni di stagione. Torna la Serie A! In campo ieri, per la diciassettesima giornata, gli anticipi Fiorentina- Sassuolo, Juventus -Udinese e Monza-Inter. Tra i match sotto i riflettori oggi, Sampdoria-Napoli e Milan-Roma. Abbiamo fatto il punto con il nostro Paolo Pacchioni! Per "Fisi news", lo spazio in collaborazione con la Federazione Italiana Sport Invernali abbiamo sentito questa mattina la campionessa Marta Bassino! Nuova stagione per "I delitti del barlume"! E' passato a trovarci oggi Filippo Timi, protagonista da 10 anni nel ruolo di Massimo Viviani! I delitti del Barlume è una produzione SKY Original coprodotta con Palomar, in esclusiva su SKY cinema e in streaming solo su NOW da lunedì 9 gennaio alle 21.15 per tre lunedì: “Indovina chi?”, “Resort paradiso” ed “E allora zumba!”. Anche i nuovi capitoli sono liberamente ispirati al mondo della serie “I delitti del barlume” di Marco Malvaldi, Mentre negli Stati Uniti si sono registrate temperature freddissime, questo Natale nel nostro paese è stato all'insegna del clima mite e temperato. Arriverà il freddo adesso? La previsione di Nikos Chiodetto di 3b Meteo. Ed infine ancora un commento sull'attualità, dalla politica agli esteri con il direttore de “La Verità, Maurizio Belpietro. Non Stop News condotto da Barbara Sala, Luigi Santarelli e Antonio Sica

For more prospecting and sales development tips, join 1'795 SDRs getting the newsletter here: https://sdrgame.substack.com/ ---- In this episode, I talk with Landon Meyer, Founding SDR at Anomalo. We talk about how to land your next SDR job ASAP: His 3 tips: Build your personal brand & Post on LinkedIn Do your due diligence Be proactive with your reference check His 2 resources: www.peersignal.org to find companies who are hiring & in growth mode. https://layoffs.fyi/ to check if the company What you should ignore: large companies are not safe anymore. Follow Landon: https://www.linkedin.com/in/pipelinecuresall/ — Follow me on LinkedIn: https://www.linkedin.com/in/elriclegloire/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/sdrgame/message

Il 6 novembre a Sharm El Sheikh, in Egitto, si apre la Conferenza annuale delle Nazioni Unite sul clima, al termine di un anno in cui alcuni Paesi (come Pakistan, Nigeria e Sud Sudan) sono stati devastati da eventi estremi e anche l'Europa ha vissuto temperature e siccità senza precedenti. Sara Gandolfi spiega che cosa dobbiamo aspettarci dalle due settimane di lavori, mentre il professor Carlo Carraro dell'Ipcc (il Gruppo intergovernativo sul cambiamento climatico dell'Onu) traccia un bilancio dei risultati finora ottenuti.Per altri approfondimenti:- Verso Cop27: il mondo produce un po' meno anidride carbonica. Ma non è abbastanza https://bit.ly/3zF4F1S- Il no di Greta Thunberg alla Cop27: “Solo ambientalismo di facciata” https://bit.ly/3U72AUM- Pakistan, tre mesi di pioggia: 1.100 morti a causa delle alluvioni https://bit.ly/3DUI2Jr

Le prime pagine dei principali quotidiani nazionali commentate in rassegna stampa da Davide Giacalone. Il governo, le tasse e i contanti, i soccorsi e le navi ONG, le minacce di Putin. Ci siamo dedicati a quello viene definito ageismo. Declinato su corpo, sesso, lavoro, bellezza. Insomma basta vergognarsi della propria età. Ne abbiano parlato in diretta con Maria Elena Viola, che è direttore del settimanale "Donna Moderna" Abbiamo parlato di calcio e commentato la Champions League. Con Massimo Caputi abbiamo fatto il punto sulle partite giocate ieri sera da Inter e Napoli. Non è mancato un riferimento a Juventus e Milan, che avevano giocato martedì. Stasera toccherà a Roma e Lazio in Europa League e alla Fiorentina in Conference. Siamo nel pieno di un periodo di caldo decisamente anomalo. Quali saranno le conseguenze per animali e piante? Ce lo ha spiegato Lorenzo Ciccarese dell'istituto superiore protezione e ricerca ambientale. Sentiamo spesso dire o pronunciamo noi stessi la frase: “Si vive una volta sola”, con l'invito a non sprecare un secondo della nostra esistenza. Parte proprio da questa presa di coscienza e con il tentativo di rispondere alla domanda: “Per cosa vale la pena vivere?”, il nuovo lavoro di Mario Calabresi. Il governo guidato da Giorgia Meloni ha ottenuto la Fiducia in Parlamento, ieri in Senato dopo la Camera. Con il direttore dell'Ansa, Luigi Contu, approfondiamo i prossimi passi dell'esecutivo, presto al debutto anche in Europa. Non Stop News, con Giusi Legrenzi, Enrico Galletti e Massimo Lo Nigro.

L'ennesima spinta dell'alta pressione africana verso il Mediterraneo centrale e gran parte del Vecchio Continente porta ancora una volta bel tempo e temperature eccezionalmente calde per fine ottobre. Mese che chiuderà tra i più caldi di sempre.

#Meloni: adesso decido io i #ministri @francescomalfetano; che voto dare all'esodio del #centrodestra? @marioajello; #Ucraina, la proposta tedesca @mauroevangelisti; la #strage dei #ragazzi suicidi @claudiaguasco

Piccolo aneddoto amoroso, passare da semplice relazione adolescenziale al matrimonio

As data continues becoming a core part of how businesses operate and make decisions, managing data quality has never been so important.  Poor data quality can hit all enterprise levels hard, from marketers annoying prospects to supply chains becoming unable to automate processes properly. In this second episode of the three-part EM360 Podcast series with Anomalo on data quality, https://www.linkedin.com/in/eshmu/ (Elliot Shmukler), Co-Founder and CEO at https://em360tech.com/solution-providers/anomalo (Anomalo) joins Analyst https://em360tech.com/user/3633 (Christina Stathopoulos) to discuss: The right time for data quality monitoring What happens if you wait too long Who should be involved

As data continues becoming a core part of how businesses operate and make decisions, managing data quality has never been so important.  Poor data quality can hit all enterprise levels hard, from marketers annoying prospects to supply chains becoming unable to automate processes properly. In this second episode of the three-part EM360 Podcast series with Anomalo on data quality, https://www.linkedin.com/in/eshmu/ (Elliot Shmukler), Co-Founder and CEO at https://em360tech.com/solution-providers/anomalo (Anomalo) joins Analyst https://em360tech.com/user/3633 (Christina Stathopoulos) to discuss: The right time for data quality monitoring What happens if you wait too long Who should be involved

Data quality monitoring is a process that manages and ensures high-standard data within an organisation.  Performed through strategies like automation and full-stack monitoring, companies set their own data quality metrics and KPIs to measure and evaluate it.   In this episode of the EM360 Podcast, Analyst https://em360tech.com/user/3633 (Christina Stathopoulos) speaks to https://www.linkedin.com/in/jeremystanley/ (Jeremy Stanley), Co-founder and CTO of https://em360tech.com/solution-providers/anomalo (Anomalo), to discuss: Data quality monitoring in a data reliant market Using unsupervised ML Changes in the last 5 years

Data quality monitoring is a process that manages and ensures a high-standard data within an organisation.  Performed through strategies like automation and full-stack monitoring, companies set their own data quality metrics and KPIs to measure and evaluate it.   In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Jeremy Stanley, CTO and Co-founder of Anomalo, to discuss: Data quality monitoring in a data reliant market Using unsupervised ML Changes in the last 5 years

Before Anomalo, Elliot was the Chief Growth Officer at Instacart, where he led the company through a massive period of change and hyper-growth. Before that, he held senior product and growth leadership roles at fast-growing companies like Wealthfront and LinkedIn. He began his career as an engineer and product manager at companies like Microsoft and eBay. Elliot is a recognized expert on data-driven product management and consumer growth strategies in Silicon Valley, with numerous talks and publications on these topics. He holds a degree in Computer Science from Harvard University and an MBA from the Stanford Graduate School of Business. 

Le prime pagine dei principali quotidiani nazionali commentate in rassegna stampa da Davide Giacalone. L'addio a Leonardo Del Vecchio e Raffaele La Capria e le elezioni. Caldo anomalo sull'Italia. Oggi bollino rosso, livello di emergenza massimo, in 12 città. Mercoledì la situazione peggiorerà ancora e le città roventi saranno 19.Ne abbiamo parlato con Paolo Corazzon di 3B Meteo. Con Alessandro Morelli, viceministro alle infrastrutture e alla mobilità sostenibile, abbiamo parlato di lavoro e in particolare degli autisti di tir, mezzi da cantiere e mezzi pesanti agricoli. Di quanto è difficile trovare lavoratori che abbiano le patenti adatte a guidarli. Il caldo che alimenta l'emergenza siccità, ma anche la crisi ucraina che ci ha portato a fare i conti con la nostra dipendenza energetica dalla Russia ha riacceso il dibattito sul nucleare. Ne abbiamo parlato, questa mattina, con Silvia Kuna Ballero. Non Stop News, con Giusi Legrenzi, Enrico Galletti e Massimo Lo Nigro.

Jeremy Stanley is Founder and CTO at Anomalo. Previously, he was VP of Data Science at Instacart. Auren and Jeremy dive into progress in the artificial intelligence field over the past decade and why most people think about AI incorrectly.  They also discuss the approaches to building data science teams and the tactics Jeremy has seen work best. World of DaaS is brought to you by SafeGraph. For more episodes, visit safegraph.com/podcasts.You can find Auren Hoffman on Twitter at @auren and Jeremy Stanley at @jeremystan.

Elliot Shmukler is Co-founder and CEO of Anomalo. Based in the San Francisco Bay Area, Elliot's been leading a small but growing team since Anomalo being founded in 2018. He's had previous roles as a Product and Growth leader at tech companies like Instacart, LinkedIn, and Wealthfront. This is a great chat packed with lessons on startup growth, finding quality in your data, and much more. Thank you Elliot for a great discussion! Check out Anomalo at https://anomalo.com  Connect with Elliot here: https://www.linkedin.com/in/eshmu/  This episode is brought to you by Shift Group, the amazing folks at Veeam Software  and the 4-Step Guide to Delivering Extraordinary Software Demos that Win Deals  and Diabolical Coffee!

Il monologo di Maurizio Crozza sulle armi, sulla guerra in Ucraina e non solo in occasione di una puntata di Fratelli di Crozza. Guarda Fratelli di Crozza senza pubblicità qui: https://bit.ly/3gS5JXw See omnystudio.com/listener for privacy information.

Elliot Shmukler (@eshmu, Co-Founder/CEO @anomalo_hq) and Jeremy Stanley (@jeremystan, Co-Founder/CTO) talk about how data integrity and changes can impact both technology and business decisions. SHOW: 598CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Polyscale.ai - PolyScale solves global database latency and performance with intelligent serverless caching and compute at the edge.Check out PolyScale's global edge data platform at www.polyscale.ai and sign up for a free account today.strongDM - Secure infrastructure access for the modern stack. Manage access to any server, database, or Kubernetes instance in minutes. Fully auditable, replayable, secure, and drag-and-drop easy. Try it free for 14 days - www.strongdm.com/signupCloudZero - Cloud Cost Intelligence for Engineering TeamsSHOW NOTES:Anomalo (homepage)Anomalo raises 33M Series A (TechCrunch)Anomalo watches your data for weirdness (Forbes)Anomalo brings data quality platform to Snowflake (TechTarget)Topic 1 - Welcome to the show. Let's start with brief introductions and backgrounds. Elliot & Jeremy please introduce yourselves.Topic 2 - As mentioned you both met and worked together at Instacart. Let's introduce the concept of data quality and integrity to those who may not be familiar. What patterns and problems did you see. Any possible horror stories you can share?Topic 3 - Up until now, I've seen big data often more about finding the needle in the haystack. It's in there somewhere, you just have to find it. But, what if it is the wrong needle?Topic 4 - Are we also talking about data drift over time as the amount of data grows? As data is added to the pool, we may come to different conclusions. How do we know if the new conclusions are based on good data or bad data?Topic 5 - You recently announced a partnership with Snowflake. This makes sense, why build another data lake and that of course may be a barrier of entry to some, correct? Are we reaching a point with big data and data lakes that we can have one single source of truth? I know we are in early days but how do most customers approach big data today and how do they keep the data sets up to date.FEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet

Andy Kangpan, a Principal at Two Sigma Ventures, shares his experience supporting founders building enterprise software, cybersecurity, and crypto startups. Andy talks about the growth of decentralized finance (DeFi) and gives real-life risk management tips for entrepreneurs and investors wishing to venture into DeFi. In this episode, you'll learn:4:15 Risk-taking for venture capital investors means thoughtfully making calculated bets on ideas that have a clear path to sustainability.8:30 Ideas for finding unique insights into quickly growing nascent spaces12:13 Decentralized finance represents a big paradigm shift, but are we there yet?16:33 How risky is decentralized finance as an asset class? What should founders know before venturing into this field?The non-profit organization that Andy is passionate about: NYU Entrepreneurship InstituteAbout Guest SpeakerAndy Kangpan is a Principal at Two Sigma Ventures. He currently focuses on investments in enterprise software, cybersecurity, and crypto. Andy has been an operator, advisor and investor. Prior to joining Two Sigma, he was an investor with ff Venture Capital where he invested in early-stage companies building innovative technologies in areas such as robotics and machine learning.Fun fact: In his spare time, Andy enjoys skateboarding, gaming, devouring science fiction, and going to concerts around the city.About Two Sigma VenturesTwo Sigma Ventures is a New York City-based venture capital firm investing in transformative companies harnessing information growth and computing power to change the world. The firm supports data- and computing-driven transformation in every industry - from infrastructure tools and healthcare to real estate and consumer hardware. Its portfolio companies include Anomalo, Brella, Carbon, Enveda, Firedome, GitLab, Odeko, Remote, Radar among others.Next Week's EpisodeComing up next week in Episode 87, we welcome Winter Mead, the founder and CEO of Coolwater Capital. Coolwater is a new organization that is changing the way venture capital investors build new firms. Winter will take us behind the scenes to show us how venture capital works, how LPs think about the industry and what Coolwater is doing to revolutionize the sector.Subscribe to our podcast and stay tuned for our next episode that will drop next Tuesday. Follow Us:  Twitter | Linkedin | Instagram | Facebook

When writing code, test driven development is a common accepted methodology to ensure the development of high quality software.  Your organization's data, on the other hand, is an entirely different challenge.  Data can be missing due to human error, a failure with a 3rd party provider, a botched release, or dozens of other issues.  When The post Data Quality Using Anomalo with Jeremy Stanley appeared first on Software Engineering Daily.

Data engineers struggling with unreliable data rely on Monte Carlo, the world's first end-to-end, fully automated Data Observability Platform! Monte Carlo enables data teams with visibility into the quality and reliability of their analytical data to maximize business impact. Start trusting your data with Monte Carlo today! Visit softwareengineeringdaily.com/montecarlodata to learn more. When writing code, The post Data Quality Using Anomalo with Jeremy Stanley appeared first on Software Engineering Daily.

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractMaking Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.This week on Making Data Simple, we have Elliot Shmukler. Elliot is currently Founder and CEO of Anomalo. Elliot was formerly a Product Engineer Executive at Wealthfront, LinkedIn, eBay, and Instacart. Elliot left Instacart about three years ago to form Anomalo.Show Notes3:03 – Is the common problem data quality or data?6:38 – What is the biggest area of friction at Instacart?9:43 – What made you go branch out on your own?15:02 – How does Anomalo solve the data quality problems?21:56 – Tell us about the tech27:50 – When should I contact you?31:03 – Tell us about your Forbes article 39:47 – Tells us about your pitch Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractMaking Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.This week on Making Data Simple, we have Elliot Shmukler. Elliot is currently Founder and CEO of Anomalo. Elliot was formerly a Product Engineer Executive at Wealthfront, LinkedIn, eBay, and Instacart. Elliot left Instacart about three years ago to form Anomalo.Show Notes3:03 – Is the common problem data quality or data?6:38 – What is the biggest area of friction at Instacart?9:43 – What made you go branch out on your own?15:02 – How does Anomalo solve the data quality problems?21:56 – Tell us about the tech27:50 – When should I contact you?31:03 – Tell us about your Forbes article 39:47 – Tells us about your pitch Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Data quality control is a requirement for being able to trust the various reports and machine learning models that are relying on the information that you curate. Rules based systems are useful for validating known requirements, but with the scale and complexity of data in modern organizations it is impractical, and often impossible, to manually create rules for all potential errors. The team at Anomalo are building a machine learning powered platform for identifying and alerting on anomalous and invalid changes in your data so that you aren't flying blind. In this episode founders Elliot Shmukler and Jeremy Stanley explain how they have architected the system to work with your data warehouse and let you know about the critical issues hiding in your data without overwhelming you with alerts.

Elliot Shmukler, CEO and founder of Anomalo, needed a better way to monitor data quality at scale. He previously led growth teams at Wealthfront, Instacart, and LinkedIn and experienced firsthand the impact of incomplete or inaccurate data. Anomalo has now raised nearly $40M from amazing investors including Norwest, Two Sigma, and Foundation to make data problems a thing of the past.Listen and learn...What Elliot means when citing Jeff Weiner from Linkedin: "If you're launching a rocket even a one degree course change can mean you won't land on the moon."About the data quality issue nobody noticed at Instacart that impacted millions of users.How the role of the data scientist will change as AI platforms automate data quality monitoring.When there's a need for humans in the loop to override AI systems.Why every product will soon be as good at personalization as Spotify and Netflix.The number one skill every student needs to learn that will never be replaced by machines.Past episodes referenced in today's discussion:Milin Desai, Sentry CEOBarr Moses, Monte Carlo CEODerek Steer, Mode Analytics CEOPeter Fishman, Mozart Data CEOKrishna Gade, Fiddler CEOCharity Majors, Honeycomb CTO

Continua il dominio dell'alta pressione sull'area Mediterranea e centro Europea. Correnti molto miti per il periodo riescono a spingersi a latitudini insolite per il mese di gennaio. Con questa situazione il nostro microclima favorirà il formarsi di nebbie e foschie in pianura e nei fondovalle dove l'inversione termica manterrà le temperature vicine ai valori invernali, mentre la fascia montana tra i 500 e 1500m il clima sarà tardo primaverile con temperature massime che potranno raggiungere i 15/16°C

This week's guest is Jeremy Stanley, co-founder and CTO of Anomalo, a startup building SaaS tools to help companies with data quality.   Prior to Anomalo, Jeremy was VP of Data Science at Instacart.Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

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Today’s conversation is with Elliot Shmukler, founder and CEO of Anomalo, which is a platform that validates and documents all of your data. Elliot founded Anomalo after a storied career as a product and growth leader at some of the most interesting companies around. Most recently, he was Instacart’s Chief Growth Officer, driving fast and profitable growth and geographic expansion. His jam-packed resume also includes stops at Wealthfront as the VP of Product and Growth and as a product leader at LinkedIn and eBay.    In today’s conversation, we pull on threads from his newest role as a founder of a startup going from zero to one, including his biggest surprises in the transition from executive to CEO. We also touch on how he prioritizes his time at a startup still in the earliest stages of company-building, and how to avoid wasting your time on prospects that are not all that interested in actually buying.    Next, we turn our attention to his history of picking incredible companies to work for — from the questions he asks as a candidate to the decision-making frameworks he borrows from his poker playing. Finally, we end with his biggest lessons from the best CEOs he’s worked with, including habits that set the best communicators apart from the pack, and the tactics for keeping office politics at bay so the best ideas are able to surface.    All sorts of folks will find something worthwhile in today’s conversation — whether you’re a founder still in the early phases of customer discovery, an executive with long-term goals to start your own company, or someone earlier in their career that wants to get better at spotting the next unicorn.    You can follow Elliot on Twitter at @eshmu.   You can email us questions directly at review@firstround.com or follow us on Twitter @ twitter.com/firstround and twitter.com/brettberson   To learn more about how Elliot uses A/B testing as a management framework, check out this article on First Round Review: https://review.firstround.com/how-a-b-testing-at-linkedin-wealthfront-and-ebay-made-me-a-better-manager   And check out “The Goal,” which Elliot cited as the most influential management book he’s ever read: https://www.amazon.com/Goal-Process-Ongoing-Improvement/dp/0884271951

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Natale è la festa più bella e celebrata dell'anno; fatta soprattutto con ciò che maggiormente desideriamo. Quest'anno causa pandemia sarà un po condizionata e dissociata dalla comunità che costringe al distanziamento.