Podcasts about atscale

Most car buyers don't need to know every detail about how the engine works, or what the chassis looks like, or how the rack and pinion steering operates. They just look forward to driving the car! The same should be true for most data consumers: They shouldn't need to worry about whether a data mesh underpins their solution or a data warehouse. They just want to use the data products! Find out why Data Products are the new thing, and will remain the new thing for quite some time on this episode of DM Radio! Host @eric_kavanagh will interview semantics expert David Mariani of AtScale, and data storyteller Lee Feinberg of DecisionViz! They'll talk about what to expect from a data product, and how you can optimize your chances of succeeding in this dynamic domain.

Construire et développer une équipe commerciale exige une approche méthodique, en particulier sur la partie People. Souvent, après avoir trouvé leur premier market fit, les entreprises rencontrent un certain nombre de problèmes qui freinent la performance commerciale : ◾️ Erreurs de Recrutement Elles ne recrutent pas toujours les bons profils, à cause d'un flou sur le profil idéal en fonction du modèle économique. ◾️ Défiance des équipes Les équipes n'ont pas toujours confiance dans les objectifs définis et n'ont pas envie de se surpasser. Cela vient d'un manque de communication sur la manière dont les objectifs ont été construits et d'un système de rémunération pas assez motivant. ◾️ Montée en compétence difficile Les onboardings sont trop courts. On met le paquet sur le coaching au début, mais ce n'est pas suffisant par la suite. Cela freine la progression des commerciaux et leur capacité à s'adapter aux différentes phases de la croissance. ◾️ Départ des tops performers L'absence d'un career path clair pour les tops performers et ceux qui aspirent à devenir managers les empêche de se projeter et les pousse à aller voir ailleurs. Pour résoudre ces problèmes, j'ai eu envie de construire un guide des best practices. J'ai invité Pierre Trannoy, co-fondateur d'At Scale, qui a accompagné des scale-ups sur la structuration du département revenue et l'amélioration de la performance commerciale (ex : Spendesk, Clever Connect, YouSign, Ankorstore, Sellsy…). On a parlé de : Comment définir les bons profils à recruter en fonction du type d'organisation sales ? Comment construire un modèle de rémunération ? Les best practices pour communiquer les objectifs de chiffre d'affaires de l'entreprise. Les bases d'un onboarding efficace ? Comment construire un career path et faire évoluer les commerciaux progressivement. Si vous cherchez des exemples de process modernes éprouvés, cet épisode est pour vous. Retrouvez Pierre Trannoy sur : ⁠Linkedin⁠, c'est là qu'il est le plus actif (et réactif !) Atscale Vous aimez le podcast Vendue et souhaitez le soutenir ? Abonnez-vous au podcast sur votre ⁠plateforme préférée⁠. Laissez un avis sur ⁠Apple Podcast⁠ ou 5 étoiles sur ⁠Spotify⁠ pour faire découvrir le podcast à d'autres personnes. Pour aller plus loin : Abonnez-vous à ⁠la newsletter ⁠Vendue⁠⁠ - 2 X par mois, je décortique une vente que j'ai conclue (ou ratée) et nous la déroulons ensemble, du début à la fin. Laetitia Fall sur ⁠Linkedin⁠ C'est votre dose de culture sales !

Today, I'm joined by Bruno Aziza, who has an incredible background in data and technology and is a dear friend of mine. He has held previous positions at Google, Oracle, Microsoft, and AtScale. He's currently a Partner at CapitalG, which is Alphabet's independent growth fund. In today's episode, we cover: The importance of starting with first principles. This means defining your set of beliefs, particular identity, and your core center of design for your product.  Why you should be competing at the service level for your customers, not the feature level. The biggest learning from Bruno's time as the Head of Data & Analytics at Google Cloud. How to approach confrontation in the workplace. I'm very excited for you to listen.  And by the way, my book has officially launched!  You can order a copy of Sales Pitch by going to https://www.aprildunford.com/books  — If You Want To Skip Ahead: (00:00) Meet my guest Bruno Aziza (01:50) Transitioning from a big company to a startup (06:59) Bruno's big takeaways from his time at a successful startup (14:20) How Bruno applies the “center of design” concept to his thinking (21:00) Connecting with customer pain points (27:59) Lessons from leading Data & Analytics at Google Cloud (33:01) Handling workplace confrontation (35:24) Why being hyper-realistic is a great way to approach cross-functional meetings  (38:18) Bruno's role at CapitalG — Where To Find Bruno Aziza: LinkedIn: https://www.linkedin.com/in/brunoaziza CarCast: https://tinyurl.com/TheCarCast Where To Find April Dunford: Podcast Website: https://www.positioning.show/  Personal Website: https://www.aprildunford.com/  LinkedIn: https://www.linkedin.com/in/aprildunford/  Instagram: https://www.instagram.com/aprildunford/  Twitter: https://twitter.com/aprildunford — Referenced: CapitalG: https://www.capitalg.com/  AtScale: https://www.atscale.com/ — Production and marketing by https://penname.co/

As new generative AI tools come out almost weekly, we are on the cusp of having a generation of humans that will grow up with artificial intelligence, similar to how millennials and ‘GenZ' kids grew up with mobile phones and social media. What steps will businesses and schools need to take to train Generation AI? Keith talks with Gaurav Rao, executive vice president and general manager for machine learning and AI at AtScale, about the structural changes we'll see.

Today's guest is Gaurav Rao, EVP & GM of Machine Learning and AI at AtScale in Boston, MA. Founded in 2013, AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company's semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale, customers are empowered to democratize data, implement self-service BI and build a more agile analytics infrastructure for better, more impactful decision making. AtScale has brought together a leadership team comprised of accomplished executives from across the global technology ecosystem. Drawing experience from companies including Vertica, Yahoo, Oracle, Dell, Citrix, AWS and IBM, AtScale is squarely focused on transforming the way organizations think about their data and analytics. Gaurav brings his expertise across Product, Engineering, Sales and Corporate Strategy to AtScale, specializing in Data Science, Machine Learning and AI in support of business needs across public, private and hybrid enterprise environments. In the episode, Gaurav will discuss: The interesting work he does with AtScale, An insight into their ML & AI team, The impact they bring to customers, Plans for growing the team, Educating and promoting trust in AI and What excites him for the future at AtScale

Welcome to the "Secrets of #Fail," a new pod storm series hosted by Matt Brown. In this series of 2023, Matt dives deep into the world of failures and lessons learned along the way from high-net-worth individuals.  Join Matt as he dives into the world of failures and lessons.Series: Secret of #FailDave is one of the co-founders of AtScale and is the Chief Technology Officer. Prior to AtScale, he was VP of Engineering at Klout and at Yahoo!, where he built the world's largest multi-dimensional cube for BI on Hadoop. Mariani is a big data visionary and serial entrepreneurGet an interview on the Matt Brown Show: www.mattbrownshow.comSupport the show

Dave Mariani (Founder/CTO at AtScale) joins the show to chat about the rise of the semantic layer in the modern data stack. Dave is a Silicon Valley veteran with a ton of experience building companies, amazing tech stacks, and everything in between. #semanticlayer #data #dataengineering #atscale

AI Ethics isn't just something we should be aware of - it is a movement according to Gaurav Rao from AtScale. Gaurav says “To me AI Ethics is a movement. and the reason why I define it as a movement is I think it has two distinct parts. There's technical frameworks that are continuing to evolve, and there's societal best practices, and both of these are put in conjunction to drive the responsible use of AI.Gaurav is EVP & GM of Machine Learning and AI at AtScale and has been working in the AI space for a long time, and he really knows this topic. This episode is a really interesting one, as it peels away the layers of AI and ethics and challenges you to think about how your internal processes are structured to support the ethical use of AI.Bad decisions made by AI may have a limited impact when it comes to song choices, but when reviewing who might get a home loan or health insurance, it could have far-reaching societal implications.Gaurav argues that the issue of AI Ethics goes beyond the risk and legal departments and is something that your marketing and sales teams should be looking at now.As always, the Actionable Futurist Podcast show also provides actionable advice you can put into place today and next week.We discussed a range of issues related to AI and ethics including:Ethical considerations when developing AI systems and modelsThe implications of bad decisions when AI is involvedThe role of regulation and AI ethicsThe ethical challenges Governments face with AIHow can we trust AI systemsInvolving the Chief Risk Officer in AI discussionsWhere to go to learn more about ethics AI issuesMany of my clients have set up AI working groups to share best practices across departments because AI is now no longer the domain of the tech teams, it is permeating every area of every company.With AI in the news on a daily basis, you need to consider the ethical use of AI in your business, so set aside 35 minutes this week and listen to this episode.More about GauravGaurav on LinkedInAtScale websiteYour Host: Actionable Futurist® & Chief Futurist Andrew GrillFor more on Andrew - what he speaks about and recent talks, please visit ActionableFuturist.com Andrew's Social ChannelsAndrew on LinkedIn@AndrewGrill on Twitter @Andrew.Grill on InstagramKeynote speeches hereAndrew's upcoming book

#dataanalytics #analytics Watch this important CXOTalk episode for a discussion on data and analytics strategy with Bruno Aziza, Head of Data and Analytics at Google Cloud.Bruno shares insights on the convergence of data and workloads, data products, building trust through governance, and activating real-time data for success in the era of digital transformation.Here is more detail on the topics discussed in this episode:► Convergence of data and workloads► Importance of governance to build trust in data► Activation and real-time data► What are data products► Practical examples of data products► Infrastructure requirements for data products vs. traditional dashboards► Roles and team structure in data science► “Data scientists are lonely”► Data science in small organizations► Data products and digital transformation► Team collaboration in data science► How to build a great data culture► Data quality creates trust and confidence in the data► Steps to build a data and analytics strategySubscribe to the CXOTalk and get notified of upcoming LIVE shows: https://www.cxotalk.com/subscribeWatch more and read the complete transcript: https://www.cxotalk.com/episode/mastering-data-and-analytics-strategy-with-bruno-aziza-head-of-data-and-analytics-at-google-cloudBruno Aziza is the Head of Data and Analytics at Google Cloud. He has helped companies of all sizes: startups, mid-size, and large public companies. He helped launch Alpine Data Labs (bought by Tibco), AppStream (bought by Symantec), SiSense (bought Periscope Data) & AtScale. He was at Business Objects when they went IPO (after acquiring Acta & Crystal Reports, & before SAP bought them for $7B). He was at Microsoft when they turned the Data & Analytics business into a $1B giant.Bruno specializes in high-growth SaaS, enterprise software, everything data, analytics, data science and artificial intelligence. He educated in the US, France, the UK & Germany. Bruno has written 2 books on Data Analytics and Enterprise Performance Management. His allegiance is to the Analytics Community worldwide.

Data Mesh Radio Patreon - get access to interviews well before they are releasedEpisode list and links to all available episode transcripts (most interviews from #32 on) hereProvided as a free resource by DataStax AstraDB; George Trujillo's contact info: email (george.trujillo@datastax.com) and LinkedInTranscript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.Ammara's LinkedIn: https://www.linkedin.com/in/ammara-gafoor/Ammara's Articles on data mesh Part 1: https://www.thoughtworks.com/insights/articles/data-mesh-in-practice-getting-off-to-the-right-startPart 2: https://www.thoughtworks.com/insights/articles/data-mesh-in-practice-organizational-operating-modelPart 3: https://www.thoughtworks.com/insights/articles/data-mesh-in-practice-product-thinking-and-developmentElif's LinkedIn: https://www.linkedin.com/in/elift/AtScale article on data mesh: Principles of data mesh and how semantic layer brings it to life: https://www.atscale.com/resource/data-mesh-principles-semantic-layer/General AtScale article: The Semantic Layer's Critical Roles in Modern Data Architectures: https://www.atscale.com/resource/the-semantic-layers-critical-roles-in-modern-data-architectures/Ryan's LinkedIn: https://www.linkedin.com/in/ryandolley/Super

In this episode, I sit down with Gaurav Rao, EVP & GM Machine Learning and AI at AtScale. In this episode we discuss what it truly takes to deploy a successful machine learning to the public. ChatGPT was a prime example of successful adoption of these technologies, and we dive deep into why it was so successful. Hope you enjoy this conversation. About Gaurav: Gaurav is currently the Executive Vice President and General Manager of Machine Learning and AI at AtScale. He is responsible for defining and leading the business that extends the company's semantic layer platform to address the rapidly expanding set of Enterprise AI and machine learning applications. Most recently, Gaurav served as VP of Product at Neural Magic - innovators in software acceleration for deep learning utilizing sparse model architectures. Previously, he served in a number of executive roles at IBM spanning product, engineering, and sales that were focused on taking cutting edge data science, machine learning, and AI offerings to market. He specializes in model training and serving, mlops, and trusted AI in the context of driving business outcomes for enterprise applications. He is also an advisor to data and AI companies. Outside of work Gaurav is an avid sports fan, foodie, traveler, and enjoys spending time with his wife and kids. Learn More: LinkedIn: https://www.linkedin.com/in/gauravraotechenthusiast/ Data Council: https://www.datacouncil.ai/speakers/gaurav-rao?hsLang=en   

« J'ai découvert l'hypercroissance »  ↗️ Dans ce nouvel épisode, on retrouve Stéphane Azamar-Krier, CEO et cofondateur de Atscale , qui a accepté de répondre à toutes les questions de Yacine Sqalli.

« La majorité des personnes qui recrutent n'ont pas été formées au recrutement. »  ↗️ Dans ce nouvel épisode, on retrouve Stéphane Azamar-Krier, CEO et cofondateur de Atscale, qui a accepté de répondre à toutes les questions de Yacine Sqalli.

Chris Lynch is the Executive Chairman, and CEO at AtScale, the industry leader in data federation and cloud transformation. Sometimes known as the Punk Rock VC, Chris is a VC investor, operator, advisor, and mentor to dozens of entrepreneurs and startups. He has been in the founding team of Arrow Point, Acopia Networks and Vertica.We talk about the influence of punk rock and the Sex Pistols on his approach to work, why connection is the key to success in any industry. Chris is also pushing for more transparency and disclosure in equity compensation in privately owned companies, especially in high tech and private equity/venture capital environments. So we talked about the changes needed, and most importantly, about what questions people should ask before accepting a job in a privately owned company where equity is a significant part of the compensation.KEY TAKEAWAYS[02:40] - Chris shares how he arrived at where he is today.[05:01] - How work, love, and punk rock influenced Chris' business career. [08:23] - From dreams of playing bass in a punk rock band to inventing a persona that helped him 'fake it until he made it.'[11:04] - Why connection and authenticity are the keys to success no matter what you are 'selling.'[13:10] - How accepting failure as part of the process ultimately leads to success.[16:21] - "Celebrating success is fine. But it doesn't make you more successful. Overcoming failure makes you more successful."[19:41] - Chris shares how his definition of success has evolved over his career. [24:43] - What are the traits of a good Venture Capitalist (VC)?[26:25] - Chris shares his answer to the 'trick question' that opened the door to him working with the Godfather of VC (and a top 5 IPO).[28:50] - Chris shares the secret to his success and his message for those he mentors.[30:18] - How to join Chris in his mission to create more transparency in the private equity market.[34:57] - The most important questions to ask before joining a startup or a privately owned venture that features equity compensation. [37:51] - Why employees need to negotiate equity compensation the same way they would for cash. [39:47] - How to find more information about Chris and the types of investments he is [41:28] - Crowdsourcing the power of music and the tech entrepreneur ecosystem to do good through Tech Tackles X.[44:13] - Why perfection is the enemy of progress.[46:05] - Chris shares a question for listeners to answer for a special opportunity to meet with him via ZOOM. Jean dot O'Neill at escale.com.[47:16] - Chis shares the VC jargon that leaves him empty.[50:34] - Why we all need to stop fighting amongst ourselves to connect with what's real.[53:04] - Chis shares his favorite meal and drink.[53:50] - Why Chris believes the Sex Pistols changed the world with just one record.Contact Dino at: dino@al4ep.com Websites:al4ep.com AtScale.comreverbadvisors.comTech Tackles Cancer / Tech Tackles X: techtacklesx.orgOther Christopher Lynch links:LinkedIn:

#DataScience #CustomerExperience Data is central to how companies compete, nurture customer relationships, and develop brand loyalty through end-to-end customer experience.In this environment, data strategy is crucial to business success. But, who should be responsible for the data strategy? Who owns the customer and operational data? What are the appropriate metrics and KPIs for a customer-centric data strategy? And most importantly, how does the data strategy support the underlying business goals?To address these questions and more, we speak with Danielle Crop, Chief Data Officer of Albertsons, and Bruno Aziza, Head of Data and Analytics at Google Cloud. This episode explores how Albertsons, with over $62 billion in revenue and 325,000 employees, uses data across the company to improve operations and deliver better and more personalized products and services to customers.The conversation includes these topics:-- On data collection for customer experience-- On data sources that drive customer insights-- On how to use data science for customer experience and personalization-- On ethical considerations of data in customer experience-- On data science talent and the data team at Albertsons-- On building a data culture-- On using data science to deliver business value-- On aligning data strategy and business strategy-- On the Chief Data Officer role-- On customer experience metrics and measuring data performance-- On using data to deepen customer relationships and customer loyaltyRead the complete transcript: https://www.cxotalk.com/episode/data-strategy-customer-experience-google-albertsonsStay up to date with upcoming episodes: https://www.cxotalk.com/subscribeDanielle Crop is the Senior Vice President and Chief Data Officer at Albertsons and is responsible for building and executing a world-class central data strategy that delivers benefits for the customer regardless of whether they shop in store or on the company's digital platforms. Her work uses machine learning and advanced data science capabilities to enhance performance across Albertson's businesses and markets.Bruno Aziza is Head of Data and Analytics at Google Cloud. He specializes in scaling businesses & turning them into global leaders. He has helped companies of all sizes: startups, mid-size, and large public companies. He helped launch Alpine Data Labs (bought by Tibco), AppStream (bought by Symantec), SiSense (bought Periscope Data) and AtScale. He was at Business Objects when they went IPO (after acquiring Acta and Crystal Reports, and before SAP bought them for $7B). He was at Microsoft when they turned the Data & Analytics business into a $1B giant.

Data is everywhere, but do we know what it means? A common problem for many enterprises wanting to adopt cutting edge, data-driven solutions is that they have a ton of legacy applications interlinking with more modern tech stacks. If the organisation is large or complex enough, it typically becomes unrealistic for any one individual to understand how it all hangs together. All of these applications generate data points with their own definitions, meaning and naming conventions. How do organisations like these set themselves up for success in a data-driven world, technically and culturally? How can we create a consistent and holistic view of our data that can be used equally by technologists, analysts and business users? To answer these questions, I recently spoke to David P. Mariani who is the founder and Chief Technology Officer of AtScale. Dave is an incredibly talented technology executive and entrepreneur with more than $800 million worth of company exits on his resume. In this episode of Leaders of Analytics, we discuss: How to create successful technology companies from scratch What David learned during his time at Yahoo! that made him start AtScale What a semantic layer is and what it does for your organisation What David's utopian technology stack would look like and why David's vision for how data-driven organisations will function in the future How a universal semantic layer fits into this future, and much more. David's LinkedIn: https://www.linkedin.com/in/davidpmariani/ AtScale's company website (lots of great content on here): https://www.atscale.com/

Data is everywhere, but do we know what it means? A common problem for many enterprises wanting to adopt cutting edge, data-driven solutions is that they have a ton of legacy applications interlinking with more modern tech stacks. If the organisation is large or complex enough, it typically becomes unrealistic for any one individual to understand how it all hangs together. All of these applications generate data points with their own definitions, meaning and naming conventions. How do organisations like these set themselves up for success in a data-driven world, technically and culturally? How can we create a consistent and holistic view of our data that can be used equally by technologists, analysts and business users? To answer these questions, I recently spoke to David P. Mariani who is the founder and Chief Technology Officer of AtScale. Dave is an incredibly talented technology executive and entrepreneur with more than $800 million worth of company exits on his resume. In this episode of Leaders of Analytics, we discuss: How to create successful technology companies from scratch What David learned during his time at Yahoo! that made him start AtScale What a semantic layer is and what it does for your organisation What David's utopian technology stack would look like and why David's vision for how data-driven organisations will function in the future How a universal semantic layer fits into this future, and much more. David's LinkedIn: https://www.linkedin.com/in/davidpmariani/ AtScale's company website (lots of great content on here): https://www.atscale.com/

On the show this week, Mark Mirchandani and Stephanie Wong share two popular episodes of Bruno Aziza's YouTube series Data Journeys. First up, Bruno talks with Aaron Biller of Postmates about their triangle of complex data that includes customer, courier, and merchant. He details their data storage and analytics structure, describing it as a reverse pyramid of tons of data with few engineers to manage and analyze it. To handle this, Postmates takes a stay-out-of-the-way approach by providing good data and letting the analysts do what they do best without micromanaging. Aaron talks about this data architecture, including the use of BigQuery as data lakes to keep data storage simple, and how Google collaboration tools streamline access and authorization tasks. Communication and flexibility are important, Aaron tells us, and he offers other advice for companies designing data systems. Feedback loops, dedicated training, and an open environment with no silos also help foster a productive, healthy data workplace. Matteo of Delivery Hero speaks to Bruno next. With the goal of increasing their global reach and offerings, it's important that Delivery Hero has a smooth data system. Matteo outlines the new data structure they've built to ease onboarding of new companies and territories and describes different use cases for their data. From determining the number of delivery people necessary in each area to offering personalized customer recommendations, Delivery Hero uses Google offerings like Google Analytics and BigQuery to interpret collected data. Matteo details how they tailor data infrastructures for each use case and offers tips to help companies think through their data infrastructure design. Don't work in a bubble, Matteo stresses, and focus on thorough onboarding of team members and clear communication with colleagues and customers. Bruno Aziza Bruno is the Head of Data & Analytics at Google Cloud. He specializes in everything data, from data analytics, to business intelligence, data science, and artificial intelligence. Before working at Google, he worked at companies like Business Objects when it went IPO and Oracle, where his team led a big turnarounds in the business analytics industry. Bruno also had the opportunity to help launch startups like Alpine Data (now part of Tibco). Sisense and AtScale and helped Microsoft grow its Data unit into a $1B business. He has been educated in the US, France, the UK, and Germany and has written two books on Data Analytics and Performance Management. In his spare time, Bruno writes a monthly column on Forbes.com on everything Data, AI and Analytics. Aaron Biller Aaron is the Manager of Data Engineering at Postmates. Matteo Fava Matteo is Senior Director of Global Data Products and Analytics at Delivery Hero. Cool things of the week Celebrating National Muffin Day with machine learning blog Managed Istio-based service mesh on our managed GKE clusters: Anthos Service Mesh comes to GKE Autopilot blog Interview Data Journeys videos Episode 12: How Postmates delivers on data needs with just six data engineers video Episode 5: How Delivery Hero uses data to deliver meals video BigQuery site Google Workspace site Dataproc site Pub/Sub site Google Analytics site Looker site Tableau site Data Studio site GCP Podcast Episode 266: Data Analytics Launches with Bruno Aziza and Eric Schmidt podcast GCP Podcast Episode 281: Google Cloud Next Data, Analytics, and AI Launches with Eric Schmidt and Bruno Aziza podcast What's something cool you're working on? Steph is working on the next Ask Google Cloud event and she wants your Kubernetes questions! Hosts Mark Mirchandani and Stephanie Wong

In today's episode, Anirudh Singh sits down with Basil Darwish, Managing Director and Fintech & Enterprise Tech lead at Wells Fargo Strategic Capital. Basil joined as the team's first hire in March 2016, coming over from Citi Ventures. In this episode, they discuss a range of topics, including Basil's winding path towards venture investing, the pros and cons of different corporate venture capital models, a deep dive into three of Wells Fargo's investments: Trovata, H20.ai, and Arkose Labs, and much more! Basil Darwish: Basil Darwish is a Managing Director at Wells Fargo Strategic Capital and leads the group's focus on Fintech and Enterprise Software. His investments range from early-stage to growth capital investments in companies that are strategically aligned with Wells Fargo. One of his goals is to bring technology-based innovation into the Bank. Basil's investment focus areas include B2B/B2C Fintech, RegTech, AI & Machine Learning, Big Data Analytics, and Cyber Security. Basil has been in the domain of venture investing for the past 12 years, across Silicon Valley, New York, and Southeast Asia. Prior to joining Wells Fargo in 2016, Basil was with Citi for 8 years most recently as Senior Vice President at Citi's growth ventures and innovation group (Citi Ventures), where he focused on venture investments and innovation initiatives across the US and Asia, in the domains of Payments, Big Data Analytics, and Information Security. Prior to moving into financial services, Basil spent several years in the technology industry in various roles across the value chain, from semiconductor product engineering and system-level product development at Analog Devices Inc, as well as digital design engineering at Chinook Communications, a technology startup that emerged out of MIT in 1999 developing spectrum enhancement technologies. Basil currently serves as a board director of Trovata, H2O.ai, OpenFin, and Droit. He also serves as a board observer of Arkose Labs, Socure, Volante Technologies, Elliptic and Atscale. Basil holds an MBA from the Wharton School of Business with a double major in finance and entrepreneurial management, a Master of Science Degree in Electrical Engineering from Tufts University with a focus on semiconductor design, and a B.Sc. in Electrical Engineering from the University of Jordan. Basil lives in the San Francisco Bay Area with his wife and two daughters.

Notre nouveau format...sur Youtube ! Cette semaine Dans l'Arène : Amine Slim, VP Sales chez Atscale. Atscale est une entreprise qui accompagne les plus belles startups et scale ups à structurer et développer le département sales dans un contexte d'hypercroissance. Atscale, en chiffres c'est : 10 employés (dont 4 commerciaux), 6 clients, 60000€ de panier moyen et 0€ levés. Au menu : ⚔️ 3 phases pour scaler son équipe commerciale ⚔️ Relancer un deal perdu et le closer en 90min chrono ⚔️ 3 grands apprentissages après 7 ans de vente chez LinkedIn Merci à notre sponsor : Salesforce Pour soutenir le podcast : 1. S'inscrire Dans l'Arène pour ne pas rater les prochains épisodes ! 2. Mettre 5 étoiles sur Apple Podcast et Spotify pour aider d'autres startupers à découvrir le podcast. 3. Venez aussi découvrir A-Team, le podcast pour mieux manager au quotidien.

Are you eager to learn more about semantic layer and why does it matter? In this episode David Mariani, the CTO and Founder at AtScale, talks about his journey, semantic layer, convergence of AI and BI and, why analytics is for everyone, not just data engineers! #data #datascience #python #machinelearning #analytics #semanticlayer #ai #bi #artificialintelligence

Prior to AtScale, Chris co-founded and was a General Partner at Accomplice, a venture capital firm investing in early-stage tech companies. Chris has held leadership roles at tech startups like Vertica, Acopia Networks, and Arrowpoint Communications. Send in a voice message: https://anchor.fm/salescommunity/message

An interview recorded live with AtScale Executive Chairman & CEO Chris Lynch on #MachineMeetsWorld. Chris is also DataRobot's Chairman of the Board.

Mark Mirchandani is back this week with cohost Bukola Ayodele. We’re talking with Eric Schmidt and Bruno Aziza about all the awesome new analytics, data, and AI launches from last week’s Google Cloud Next conference. Our guests start the show outlining the challenges clients face when storing, organizing, and analyzing data in the cloud. These needs have inspired Google solutions that focus on simplifying data management for customers. Next announcements like BigQuery Omni, which helps customers achieve full data visibility with cross-cloud analytics, and DataPlex, which facilitates data management at scale, will change the way companies think about their data. BigQuery integration with AppSheets and the new Cloud Looker LookML let customers build once and access from anywhere. The new Looker and Tableau integration revolutionizes the use of the semantic model in Tableau, allowing things like company-established data governance and the Looker Blocks ecosystem to pull into Tableau analysis. New Looker Blocks specifically targeted to the healthcare industry were also introduced at Next. We talk about the ML announcements including Vertex AI Workbench, a fully-managed service used for data exploration aimed at simplifying the workloads of data engineers. Serverless Spark on Google Cloud shares these goals by making performance tuning, scaling, infrastructure provisioning, and other tasks fully-managed. The new PostgreSQL interface for Spanner lets clients use tools already developed in PostgreSQL while leveraging the global scaling and other benefits of Spanner. Bruno and Eric share some favorite customer stories as we wrap up this week’s episode. Albertson’s, Renault, and others have interesting data journeys on Google Cloud and our listeners can learn more in the YouTube series hosted by Bruno. Eric Schmidt Eric is the the Head of Advocacy for Data Analytics at Google and has been at Google for almost eight years. Previously, he was with Microsoft, where he led Advocacy and Evangelism there, too. He focuses on products like BigQuery, Dataflow, Dataproc and leads a team of advocates who help customers turn data into value. In his downtime, Eric is a DJ at 90.3 KEXP here in Seattle or online at kexp.org where he focuses on global music culture. You can find Eric on Twitter. His handle is “not that eric” - not to be confused with the ‘other Eric Schmidt' here at Google. In fact, internally, people affectionately call him “cloud E”. Bruno Aziza Bruno is the Head of Data & Analytics at Google Cloud. He specializes in everything data, from data analytics, to business intelligence, data science, and artificial intelligence. Before working at Google, he worked at companies like Business Objects when it went IPO and Oracle, where his team led a big turnarounds in the business analytics industry. Bruno also had the opportunity to help launch startups like Alpine Data (now part of Tibco). Sisense and AtScale and helped Microsoft grow its Data unit into a $1B business. He has been educated in the US, France, the UK, and Germany and has written two books on Data Analytics and Performance Management. In his spare time, Bruno writes a monthly column on Forbes.com on everything Data, AI and Analytics. Cool things of the week Next Reaction: Security and zero-trust announcements blog Next Reaction: New Data Cloud launches blog Next Reaction: Making multicloud easier for all blog Next Reaction: Features to reduce IT carbon emissions and build climate-related solutions blog Next Reaction: Monitor your conversations, get started with CCAI Insights blog Interview GCP Podcast Episode 266: Data Analytics Launches with Bruno Aziza and Eric Schmidt podcast BigQuery site Bringing multi-cloud analytics to your data with BigQuery Omni blog Google Cloud Next—Day 1 livestream - WalMart video Dataplex site AppSheet site Cloud Looker LookML site Tableau site Vertex AI site Vertex AI Workbench site TensorFlow site Apache Spark on Google Cloud site New PostgreSQL Interface makes Cloud Spanner's scalability and availability more open and accessible blog PostgreSQL site Cloud Spanner site Google Earth Engine site Google Maps Platform site Inside Industry Data Management 4.0 at Renault site Chess.com site Google Next Opening Keynote site Data Journeys with Bruno Aziza videos Cloud Next Catalog site Bruno’s Cloud Next Playlist videos Cloud Next Data Analytics Playlist videos Bruno on Linkedin site Lak on Twitter site What’s something cool you’re working on? Bukola is working on the Click to Deploy video series.

Bruno Aziza is a thought leader in Data and Analytics. In this podcast we discussed various key trends and topics influencing the world of data including analyst of the future, value of dark data, user experience, emotions based data storytelling, meaning of Intelligence, and flexibility of data platforms. There are lots of key statistics thrown into this episode which will provide metrics for data leaders and the actions they need to take. Want more? Connect with our host Arvind Murali, Data Chief Strategist at Perficient Learn more about Perficient's Data + Intelligence expertise Connect with our guest: Bruno Aziza | LinkedIn About our guest: Bruno Aziza specializes in scaling businesses and turning them into global leaders. He’s helped companies of all sizes and also helped launch Alpine Data Labs (bought by TIBCO), AppStream (bought by Symantec), SiSense (bought Periscope Data) & AtScale. Bruno specializes in high-growth SaaS, enterprise software, everything data, analytics, data science and artificial intelligence and has written books on data analytics and enterprise performance management. Follow Bruno on Twitter @brunoaziza and LinkedIn, where he shares unbiased insights every Monday. Books: Drive Business Performance, Framers Podcast: Daily Espresso - the economist , Tech Crunch

The Sharks discuss who AtScale is, the startup years, and what problems AtScale solves. Meet today's Sharks: - David Mariani, CTO & Founder of AtScale - Jared Hillam, EVP of Emerging Technologies at Intricity - Rich Hathaway, Senior Solution Architect, Snowflake Expert at Intricity - Arkady Kleyner, Principal, and CoFounder of Intricity Watch the Video on YouTube Sign up for the live session, and ask the Data Sharks questions here: intricity.com/datasharks Talk with a Data Shark: intricity.com/intricity101 www.intricity.com youtube.com/intricity101

What advice would you give to people who are starting up companies?David P. Mariani, CTO and Co-Founder of AtScale, joins us on this episode of Life in the Cloud.By living the problem and walking in your customers' shoes, you're better able to develop a product.Don't take David's advice for granted. He's been a part of several successful startups in his expansive career. All his jobs built on top of one another to solidify his industry-leading expertise and understanding of data.The importance of adding a semantic layer for interpretation makes all the difference. David sees the industry of data analytics becoming more simplified. By making the machine do more, humans can become smarter.“The key is to bring the data to the user, rather than bringing the user to the data.”What else is in store for the future of data analytics? How are we going to be using data to predict the future?Listen in now to learn more from David. Don't forget to subscribe to the show on iTunes, Spotify, or wherever you get your podcasts. See you in the next episode!

Businesses have long tried to use data to drive decisions, but over the last few years new big data and AI capabilities have appeared. In this episode, Josh Epstein of AtScale discusses the opportunities that enterprise AI brings to drive business decisions. Although executives might not know the details of AI models, they can certainly benefit from the forecasts and recommendations these tools deliver. One benefit of these systems is that they can bring in more diverse data to uncover real value from areas typically outside the sight of executives. Three Questions Are there any jobs that will be completely eliminated by AI in the next five years? Will we ever see a Hollywood-style “artificial mind” like Mr. Data or other characters? Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future? Guests and Hosts Josh Epstein, Chief Marketing Officer at AtScale. Connect with Josh on LinkedIn. Frederic Van Haren, Founder at HighFens Inc., Consultancy & Services. Connect with Frederic on Highfens.com or on Twitter at @FredericVHaren. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 7/27/2021 Tags: @AtScale, @SFoskett, @FrdericVHaren

Stephanie Wong and Jenny Brown are your hosts this week, discussing data analytics with the yin and yang of the field, Bruno Aziza and Eric Schmidt. Our guests introduce us to three new Google offerings, Big Query Omni, Dataplex, and the Analytics Hub, and discuss the uses and implications of each and how they work together to achieve goals. Bruno and Eric describe challenges in data analytics and how Google uses these as opportunities to create problem-solving systems that solve real client problems. Through real-world examples from companies like Equifax, we see how companies are getting more information from their data in a way that creates actionable opportunities to improve customer experiences. For multi-cloud companies, Big Query Omni gets the most out of data that exists in multiple clouds. To accomplish this, Google takes the analytics to the data and is able to reach all appropriate data across clouds without having to move it. This allows for cheaper analysis with much less system downtime. Support for Azure was added this year. The new Dataplex software helps customers intelligently manage data assets, especially in distributed systems. Dataplex lets companies automatically discover data, make data secure without having to move it, and apply governance and policies centrally so the data is accessible. Rather than sit unused, data can now be found easily, analyzed securely, and put to work for companies no matter where their data lives. For analytic asset sharing, Analytics Hub lets companies coordinate with others to get the most use out of their data efficiently. Analytics Hub gets to data value as quickly and easily as possible. Companies can publish, discover, and subscribe to shared assets, create exchanges that combine data sets, and curate exchanges of data and insights for full information sharing. Eric Schmidt Eric is the Head of Advocacy for Data Analytics at Google and has been with us for almost 8 years. He comes to us from Microsoft, where he led Advocacy and Evangelism there, too. Eric is an expert in products like BigQuery, Dataflow, Dataproc and leads a team of leaders who help customers turn data into value. In his downtime, Eric is also a Dj at KEXP 90.3 Seattel - KEPX.ORG where he guest hosts a modern global music show. You can find Eric on Twitter. His handle is @notthateric - not to be confused with the ‘other Eric Schmidt' here at Google. In fact, internally, we affectionately call him “cloude”. Bruno Aziza Bruno is the Head of Data & Analytics at Google Cloud and specializes in everything data, from data analytics, to business intelligence, data science, and artificial intelligence. Before working at Google, Bruno worked at companies like Business Objects when it went IPO and Oracle, where his team led one of the fastest turnarounds in the business analytics industry. He led the launch of startups like Alpine Data (now part of Tibco), Sisense and AtScale and he helped Microsoft grow its Data unit into a $1B business. Bruno has been educated in the US, France, the UK, and Germany. He has written two books on Data Analytics and Performance Management. And he has a monthly column on Forbes.com on everything Data, AI and Analytics. Cool things of the week BigQuery row-level security enables more granular access to data blog Expanding access to quantum today for a better tomorrow blog Expanding partner solutions at the network edge blog Interview Data Cloud Summit site Bringing multi-cloud analytics to your data with BigQuery Omni blog Dataplex site Analytics Hub site Intelligent Data and Analytics Fabric video GCP Podcast Episode 253: Data Governance with Jessi Ashdown and Uri Gilad podcast Public Data Sets site Smart analytics reference patterns site Data and Analytics Sharing at Equifax: Immediate, Interconnected, Scalable, and Secure video BigQuery ML site Learn more about these launches site What’s something cool you’re working on? Jenny has been working on Google Cloud Reader episodes on BigQuery Explained.

Welcome to Episode 104 of The VentureFizz Podcast, the flagship podcast from the leading authority for jobs & careers in the tech industry. For this episode of our podcast, I interviewed Chris Lynch, CEO and Executive Chairman of AtScale. Chris is a serial entrepreneur and operator who has a tremendous track record at building successful tech companies like Vertica, Acopia Networks, Arrowpoint Communications, and others. He also co-founded and was a General Partner at Accomplice, a VC firm where he led investments in early-stage companies. He's back into an operating role with AtScale, the global leader in data warehouse virtualization. The company has raised $120M in funding, including a $50M Series D round which was announced this past December and led by Morgan Stanley. In this episode of our podcast, we cover lots of topics, like: -Chris' background and what his paper route taught him about entrepreneurship. -A walk through the different companies and his experience as an investor. -All about his current company AtScale, including what the company does, the story of how he got involved, and what the plans are for the Boston office. -How he learned to manage and build sales teams. -Advice for founders trying to build out their go-to-market sales strategy. -His charitable work with the St. Baldrick's Foundation and why it means so much to him. -Plus, a lot more. Is your company hiring? If the answer is yes, then you might want to consider adding a BIZZpage for your company. It is our employment branding and hiring solution that helps keep you company top of mind with our targeted audience of professionals in the tech industry. A subscription includes a BIZZpage for employment branding, unlimited postings to our Job Board, access to our exclusive content series, and more. If you are interested in additional details, please send an email to info@venturefizz.com. Lastly, if you like the show, please remember to subscribe to and review us on iTunes, or your podcast player of choice!

Atscale aims to put the Intelligence back into Business Intelligence. Founder/CEO David P Mariani shares Atscale's process for doing that with large brands such as the Home Depot and others. David also discusses how the need to handle big data without making it small led to a major data storage solution and the creation of Atscale.