Anne Laure Thibaud (Thieullent)

The is the 9th consecutive year Gartner has named SAS a Leader in Data Science and Machine Learning. “SAS has prioritized identifying industry-driven and ethically applied use cases. SAS' GenAI functionality is embedded within leading products like SAS Viya, a comprehensive data and AI platform that empowers people of all skill levels to participate in the analytics process. Developers, data scientists, IT professionals and business analysts can collaborate seamlessly within the SAS Viya ecosystem and throughout the AI and analytics lifecycle to make intelligent decisions. #ArtificialIntelligence #AI #MachineLearning #DeepLearning #DataScience #BigData #Automation #NLP (Natural Language Processing) #AIResearch #AIFuture

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Hiring Senior Databricks Solutioning Experts! Our Values and Ethics At the heart of our identity At Capgemini, our Values and Ethics are at the heart of our identity. Our seven Values inspire and guide our team members, who each contribute to our ethical culture. Capgemini’s founder, Serge Kampf, was deeply convinced that sound ethics are an essential foundation for profitable and sustainable business. From the outset, this belief in doing business ethically and our commitment to our core Values has distinguished us. Our seven Values – Honesty, Boldness, Trust, Freedom, Fun, Modesty, and Team Spirit – express our personality, our spirit. While we continuously evolve our culture, our Values remain constant: we never lose sight of who we are. Profoundly entrepreneurial, we cherish and encourage individual freedoms and initiatives, within the discipline of perfect alignment with our Values.

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Data spaces offer a businesses a way to share data in a digital sustainable 🌱way and tap into much needed data to create innovative products and services. But in order to make it a true succes, businesses should be lined up to adopt it; and what is needed to achieve that? 🔶 Looking forward to discuss this and more with my co-panelists Jaana Sinipuro - DataSpace Europe Oy and Eric Pol - MyData Global in our panel at the EU Data Summit, register here (also livestream): https://lnkd.in/ez2qnvWQ Innopay #DigitalSustainabilty #DataSovereignty #DataSpaces

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A recent Wavestone study found that only 5% of companies have a GenAI based solution in production, however, McKinsey reports that nearly 70% of all companies regularly use some form of GenAI. What does this mean? To me, this suggests 65% of all companies are integrating commercially available chatbots and copilots into individual workflows on the desktop. Nearly two years since the launch of ChatGPT, only a tiny fraction of data and analytics teams are building customized GenAI solutions. Does this surprise you? It doesn't surprise me at all. Since the LLM hype started, I've been consistently saying that the overwhelming majority of companies would operationalize AI at scale through chatbots and copilots. Why? Because 'training' an LLM is an extremely costly, time-consuming, and resource-intensive process that's impractical for 95% of companies. In the immediate term, the biggest opportunity for companies to use technology to influence the behavior of off-the-shelf solutions is through more complex RAG patterns, or through fine tuning open-source LLMs. Building the former requires a partnership between data teams and engineering teams, and the latter will require data science expertise. Longer team, opportunities also exist to build more 'small' language models, but I suspect these will be built primarily by vendors and integrated through business applications. To me, the biggest takeaway from the current state of GenAI is that most data teams are far less involved in the deployment of GenAI solutions than many CDOs originally anticipated. Instead of data teams driving the GenAI agenda, it appears it's increasingly being driven by vendors and software engineering teams. Do you agree? #genai #ai #CDO

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Transform Your Business with Synthflow AI ! Say goodbye to long development cycles and costly ML teams! With Synthflow AI, you can build advanced AI agents without any technical skills or coding. Simply bring your data and ideas, and start automating customer interactions with intelligent AI voice assistants that: ➡️ Talk to customers & each other ➡️ Schedule, update CRMs, & more ➡️ Operate via one phone number Revolutionize your customer service today! #AI #Automation #CustomerService #NoCode #Innovation

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📢 Benjamin de Reus, Data Leader at Cofinimmo, will be speaking at Big Data LDN! He’ll share how Cofinimmo uses DataGalaxy’s Data Catalog to tackle data quality challenges and align the entire organization with consistent data definitions. 📅 If you’re attending Big Data LDN, don’t miss the DataGalaxy x Cofinimmo keynote! Learn more: https://lnkd.in/d3fNmZhi #BigDataLDN

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Happy Monday ! ☎ Starting this week with a great sharing from Alex Posar, already shared via DAMA UK. 💎 Her article named "The Data Library" highlights an interesting parallel between libraries having evolved from physical repositories to digital repositories and how the same principles of organization and accessibility apply to data governance. Must read available 👉 https://lnkd.in/g9JavjyS #datagovernance #data #datalibrary #datacatalog

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#DataEngineering 𝗣𝗿𝗼 𝗧𝗶𝗽𝘀 𝗳𝗿𝗼𝗺 𝗙𝗮𝗯𝗿𝗶𝗰𝗲 𝗗𝗲𝘀𝗲𝘆𝗻, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗖𝗵𝗮𝗺𝗽𝗶𝗼𝗻 Join our colleague, Fabrice Deseyn, for a deep dive into the world of Databricks. In a recent interview with Youssef Mrini on the #NextGenLakehouse YouTube channel, Fabrice shares his insights and journey of becoming a Databricks champion. Beyond his champion status, Fabrice provides expert guidance on navigating Unity Catalog migrations. Discover practical tips and strategies to streamline the process and ensure a successful transition. Watch the video now 👉 https://lnkd.in/e2zFw53p #Databricks

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#universalAIplatform. Probably not a # that will work, but it is a defining definition of how #AI and #GenAI can be embedded in organisations for all users. by #dataiku

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Collibra + Ohalo allow organizations to manage all sources of data in a single control plane. Simplified data management allows for optimized experiences for end users.

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When you connect a star performer for process visibility with the ability to continually optimise business processes you move from intuition to corrective action, you are in control and agile to market movements. This is a game changer for our customers, if you'd like to discuss some example outcomes we'd love to hear from you. UiPath #processmining #processorchestration #processimprovement #processautomation #processoptimisation

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Want to learn how to build a #generativeAI chatbot in #BigQuery? Learn how in this blog:

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Stacksync enables Snowflake to become a true #operational data warehouse. With #bidirectional sync between enterprise systems and Snowflake, Snowflake tables become a read and write interface to your external systems. All this in #realtime ! Say goodbye to outdated data from yesterday, complex APIs, authentication management... Stacksync can be setup in less than 5 minutes. Get started at stacksync.cloud #salesforce #hubspot #snowflake #postgres #bigquery #dynamics #netsuite #sap #ERP

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I think we can all agree that government organizations have some of the largest repositories of data across many systems. The value can be gained from this data when you can bring it together to gain better insights. But how you do this can be difficult or simplified; on prem or in the cloud or hybrid. Join us at #DAPS2024 for a thought-provoking session with Etienne Pelletier.

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Gartner just announced their 2024 𝐌𝐚𝐠𝐢𝐜 𝐐𝐮𝐚𝐝𝐫𝐚𝐧𝐭™ 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬! Here are some key highlights: 1. 𝐑𝐚𝐩𝐢𝐝 𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧: By 2027, 50% of data analysts will become data scientists, and data scientists will evolve into AI engineers. 2. 𝐔𝐧𝐢𝐟𝐢𝐞𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Leading platforms now integrate data management, governance, and AI/ML development, simplifying processes and enhancing collaboration. 3. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 (𝐆𝐞𝐧𝐀𝐈): GenAI capabilities are a focus area (surprise 😉), with many platforms combining large language models and other GenAI technologies to increase predictive and prescriptive analytics. 4. 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭𝐬: Vendors are significantly investing in low-code development, and MLOps to enable different user personas and better model deployment and administration. 𝑳𝒆𝒂𝒅𝒆𝒓𝒔 𝒊𝒏 𝒕𝒉𝒆 𝑴𝒂𝒈𝒊𝒄 𝑸𝒖𝒂𝒅𝒓𝒂𝒏𝒕: - 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬: Recognized as a Leader for its unified platform that combines lakehouse architecture with robust ML capabilities, led by recent acquisitions such as MosaicML and Einblick. - 𝐀𝐖𝐒: Praised for its unique AI infrastructure and SageMaker suite. - 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭: Highlighted for its comprehensive Azure ML offerings and strategic partnerships. 🔗 Partner with Intellus Group: As partners with three Magic Quadrant leaders — Databricks, Amazon Web Services (AWS), and Microsoft — we are prepared to meet all of your data science and machine learning demands. Contact us for specialised solutions and insights to help your AI projects succeed!

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If your D&A architecture supports decentralized data across different LOBs, data mesh might be what you need. Before you build, understand the challenges and what you need to make it work. Gartner for IT | #GartnerDA #Data #DataArchitecture

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#QlikConnect is the place to be if you are a #DataCaptain for your company. No matter your role, if #data is your responsibility then #QlikConnect is for you. New Qlik (including Talend) is sharing its updated cloud offerings at the event, and sharing great stories, showcasing its customer success. Differentia Consulting is supporting ancoreSoft in the vendor showcase to talk about #EnhancedReportingforQlik, for #QlikCloud and on-premise. Our mission is to help you do more with #QlikCloud. In fact we believe that we can help you justify your migration to #QlikCloud with #ancoreShare enhanced reporting alone. A lot has changed in a year and #ancoreShare has had many updates. Including the ability to work with #PowerAutomate and other integrations - about which, you will need to come to our booth/stand #801 to find out more. Further, we have a surprise for you :) #ancoreShare is #simple to use, you can create a report in your Qlik app (not in Excel, not in a template) in 5-seconds. A radically different in-app approach to report design, using the same tools that all Qlik developers are familiar with, the Qlik interface :) And, it works on ALL your objects, including third party extensions. #ancoreShare #scales unlike other reporting tools, it lets you report on-demand, using the resources of your local device (client), allowing for every user of an application to report over it, at the same time, with no impact on scheduled reports. #Secure scheduled-reports run in the background in a micro-services environment. #ancoreShare #integrates to your business apps, business platforms and automation services, and more... If you are not able to attend the event, please contact me for a demonstration. Pilot #ancoreShare and navigate to #QlikCloud with ease. #QlikPartnerAmbassador

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