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As a CPO and CMO I've developed strategy, product managed, delivered, positioned and…
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Ramon Chen shared thisHi everyone, if you can spare the time, please do check out this podcast with Acceldata's CEO Rohit Choudhary. Whether you're a Global 2000 / F500 company curious as to why Acceldata is trusted for their #dataobservability, #dataquality, #operationalgovernance for AI-Ready data. Or you're interested in how Rohit turned an idea into a Billion dollar startup. Or you want to explore our over 60+ job openings (note we have multiple openings in each role - especially in sales) and want to understand why Acceldata is on a Databricks / Snowflake growth trajectory right now. This podcast will be well worth your time. Check out acceldata.io/careers for opportunities, and DM our team or myself directly if you would like to see what Acceldata can do for your data and AIRamon Chen shared thisNew Podcast Alert 🚨 The latest Super Data Science Podcast episode with Jon Krohn is live 🎙️ featuring Rohit Choudhary, Founder and CEO of Acceldata. "By the time bad data reaches the point of consumption, it can be up to 1000 times more expensive to fix" Rohit breaks down what it truly means for data to be AI ready, not just technically correct, but aligned with real business context, policies, and decisions. He also shares a bold prediction: enterprise data is growing 4 to 5 times year over year today and could soon reach nearly 10x growth, largely driven by AI agents operating at a scale far beyond human users 📈 Beyond data, he dives into the reality of building a company, comparing it to an Ironman followed by an ultra marathon, and shares thoughtful advice on what skills will matter most in the age of AI. Key moments to check out: ✅ 03:26 Data observability ✅ 06:04 Agentic data management use cases ✅ 12:46 Why fixing data late is so costly ✅ 30:49 Careers and skills in the age of AI ✅ 42:38 The future of enterprise data growth Definitely one to add to your playlist 🎧 🔗 https://lnkd.in/gGV6R2jh
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Ramon Chen shared thisIf you are responsible for data, AI, pipelines, infrastructure you wont want to miss #autonomous26 by Acceldata! To be held May 19th, at The Pearl in downtown San Francisco. It will feature presentations by leaders from Workday, Dun & Bradstreet, T-Mobile, Qualcomm, Wells Fargo, Nestlé, Pfizer, Verizon, and more! Register free for a limited time at https://lnkd.in/gssx6EJM
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Ramon Chen shared thisSo well put Mike McQuaid. It was a pleasure to visit with 4 Fortune 500 companies just this week. One of who remarked “it’s so refreshing to have you fly out to meet in person at our offices” I applaud Mike, Mahesh Kumar, our CMO, our Engineering team led by Ashwin Rajeeva and Raghu Mitra Kandikonda and my own product team led by Nitin M., for leading the way and having us be an AI-first company well over 2 years ago. Now we are adding headcount, because we are scaling. It’s not just about AI efficiencies, it’s about human engagement and empathy, while servicing our customers. Our Global 2000 customers expect in person support, someone to call when they have questions, and they really appreciate the CSM conceirge offerings that Ashok Gunasekaran, our head of Customer Success, has put together with his fast growing team. In this new world you can move faster, and get rid of boring work at the same time. But you still need people to foster personal relationships, if you are truly committed to their success. Which is why we are accelerating through the use of AI and hiring at the same time. One of our core values, as defined by our CEO Rohit Choudhary is “Prioritize the customer”. They expect and deserve our full support, and that can only come from aligning our headcount to provide coverage for the increasing number of large global customers we are onboarding. If you would like to join a company that is experiencing rapid growth, and values the efficiency of AI with the power of people-to-people engagement and execution, please check out our over 60 open positions https://lnkd.in/gEBMscgERamon Chen shared thisExciting times at Acceldata. After an incredible year last fiscal, we’re carrying the momentum forward and having a ton of fun. As CRO, I spend a lot of time with customers and prospective customers, and the feedback over the last few months has been outstanding. A few highlights: 👉 “Your current capabilities, coupled with your roadmap, are simply brilliant.” 👉 After several “can you do this?” questions, a prospective customer responded: “Incredible, you’ve really thought of everything.” 👉 “Your roadmap is very comprehensive and is way ahead of the competition.” 👉 “Acceldata performance is over 10x faster than the other platforms we tested. I don’t know how you do it.” 👉 “It was a pleasure speaking with you and your team today – your team’s domain expertise is incredibly impressive.” We are winning in #dataobservability and #dataquality, and we’re growing our team to support the demand. Two years ago, I embraced an AI‑first go‑to‑market strategy and intentionally kept our sales organization lean. We implemented AI tools and unlocked incredible productivity gains for the sales and CS teams. Those gains, coupled with a relentless focus on operational excellence, fueled our growth and are cementing us as the category leader. People and relationships are still a huge part of enterprise B2B sales and are absolutely critical when working with the Fortune 500 and Global 2000. While many organizations are reducing headcount as they adopt AI‑first strategies, we’re doing the opposite. We adopted AI two years ago, perfected it, and now we’re hiring many AEs, SEs, TAMs, engineers—across the board. We already have: 👉 An agentic GTM in place 👉 A platform that is “way ahead of the competition” 👉 A clear track record of success in the Fortune 500 and Global 2000 If you’re an AE, SE, TAM, or CSM and have deep data domain expertise, and have been impacted by AI‑related layoffs, reach out to Sudhindra MG Rao (Sudhi) or Praveen Kothapalli. We have dozens of positions open —we’re growing, and we’re winning. Join the best #datateam in the business. Let’s GO!!! #winning
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Ramon Chen shared thisBig news! SAP is acquiring Reltio, what does this mean? First, congratulations to my good friend Manish Sood, and all employees past & present Why did SAP make this move? With Salesforce acquiring Informatica (the 2nd best MDM provider), it made sense for SAP to go one better, and pick up the leader in cloud MDM Reltio Both moves signify an emphasis on master data being the core foundation of any enterprise data and AI strategy. Trusted data, and by implication AI-ready data, for Agentic systems needs MDM. SAP IMHO, has leapfrogged Salesforce & other ISVs, who missed their chance to “own the enterprise���, with this savvy move SAP is the perfect company to join. I truly believe customers & partners will benefit greatly from investments SAP will make in the leading #MDM, #unifieddata #contextintelligence platform I am deeply thankful for having been part of this journey,from the early days back in 2013. A big thank you to: Manish,Anastasia,Curt,Vasu,Ranga,Zoli,Jeffrey,Bob,Scott,Gary,Terence. The OG of OGs who huddled in our tiny Regus office, that was no bigger than a dorm room in 2013, dared to dream the dream. I also want to call out & thank the 40+ members of my Product, UX & Marketing teams over 7 years, who all played a role in Reltio’s growth. AnastasiaZamyshlyaeva,KathleenCalderwood,Mona,DharmaSubramanian,TerenceKirk,YuriyRaskin,PrasadSatam,GalPerl,RakeshSaha,AmarNadig,StephenThompson,FahadKhan,EstherKent,RamyaKrishnan,SuchenChodankar,SushantRai,GuaravGera,AjayKhanna,VenkiSubramanian,XuanHe,DeanneBranham,CarinaAlabanza,SteveLeskiv,JubinThomson,LeticiaBarcia,NaliniMohan,GreggCasey,UpwanChachra,AmyChu,Heather C,AnkurGupta & more (sorry if I missed anyone) Big congrats also to ManishJain,AlexeySidelnikov,PavelBordukov,OlegPhilippov,AhmedQuadri,ReneeHollinger,SatishRamakrishnan,SumitSingh,DannyEllis,DanGage,MichaelPearlman,PaulVeilleux,MikeJansen,MikeFrasca,MattGagan Shoutout to early customers:VivianWu,DanAvilla,Joanna Walker,Maria Perkins,Inderpal Bhandari,Omer Iqbal,Candi Liberto,Scott Isaac,David Sugg,Suresh Jawahar,Rajini Takkallapalli,Rob Phillips Partners:NeilCowburn,Naveen Sharma,Diptesh Singh,AjitKumbhare,Tal Rosenberg,ChitraVarma,MikeAllelunas,WoutVandegaer,ScottHolcomb,RajLohia,PallabDeb,Thomas Gourand,Jim LaLonde,Akash Bhatia,Faisal Zaidi,Abhijit Roy Analysts:RayWang,Aaron Zornes,Noel Yuhanna,TonyBaer,Matt Aslett,PhilRussom,Mark Smith A big thank you also to AnshKanwar,DonBulmer,JamesRedfern,AlysonWelch & the rest of the current Reltio Exec team for their leadership & continuing to steer Reltio to new heights I would be remiss in not thanking the investors that backed us along the way. James M. P. Feuille,Graham Brooks,Chetan Puttagunta,Ravi Viswanathan,Nino Marakovic,Rajeev Dham,Shruti Tournatory,Mike Gustafson Although I'm a few years removed from being Reltio's CPO, the initial investment & trust given to us by these leading VCs made all of this possible. Thank you & congratulations!Ramon Chen shared thisToday, we announced that SAP intends to acquire Reltio. This is a major milestone for our team, our customers, and the vision we set out to build more than a decade ago. From the beginning, we believed enterprises would need more than clean data. They would need context. Not static records, but living, connected, real-time context they could use to run the business, make better decisions, and now, power AI. That belief led us to build Reltio. What we created is not just a unified data foundation. It is an intelligent data graph that connects data across systems, relationships, and interactions to reveal the full context behind the business. That is the foundation for context intelligence, and it is where the market is heading. That is why this next chapter with SAP is so exciting. SAP sits at the center of how the global economy runs. Reltio enables the unification and activation of data across SAP and non-SAP systems, creating a complete, real-time view of customers, suppliers, products, partners, and more. Together, that opens the door to something bigger: a true context layer for the enterprise, where trusted data flows across every application, every workflow, and every AI-driven decision. Reltio has become a company of real consequence, and this next chapter gives us the opportunity to extend that impact even further. We have always believed that context is the new competitive advantage. Now we have the opportunity to bring that vision to many more organizations around the world. Check out our blog to learn more about today’s news. https://lnkd.in/gh9AzN9nA new chapter for Reltio: SAP to acquire Reltio to help make enterprise data AI-ready - ReltioA new chapter for Reltio: SAP to acquire Reltio to help make enterprise data AI-ready - Reltio
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Ramon Chen shared thisDoes your #hadoop deployment need resuscitating? Drowning in the Cloudera tax, costing you millions a year? See “How T-Mobile finally divorced Cloudera” https://lnkd.in/gMB-rR-k Give it a #pulse (Acceldata Pulse), the leading Observability platform for Hadoop. Combine it with the 100% #opensource distribution ODP to not only save money, but also revive your Hadoop platform to deliver your #bigdata insights at maximum operational efficiency! Better yet, pair it with Acceldata #Dataobservability cloud for end-to-end visibility for data migration and better #dataquality as you modernize to the cloud. Check out “How Enterprise data observability gives Hadoop an after life” https://lnkd.in/gu2h5H6ARamon Chen shared thisPulse 4.1.0 is here — bringing stronger observability, faster troubleshooting, and more operational control for big data teams. ✅ Reusable visualizations for faster, more consistent dashboards ✅ Broader observability for JupyterHub, Airflow on Kubernetes, and Spark with Gluten + Velox ✅ Pulse Sense (Beta) for faster troubleshooting ✅ Pulse Server Monitoring on Kubernetes from the Admin UI ✅ Near real-time HDFS metadata visibility ✅ Disaster recovery for Hadoop, Hive, and HBase ✅ WCAG 2.1 AA accessibility enhancements ✅ More operational improvements across alerts, optimization, and agent deployment 📖 Read the blog to learn more: https://lnkd.in/gdCFbKgx Pallav Kulshreshtha Somjit Chatterjee Vivek Singh #Acceldata #Pulse #Hadoop #BigData #DataObservability #Kubernetes #DataEngineering #Spark #Airflow #JupyterHub
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Ramon Chen shared thisSo fun catching up with Craig Warthen, here at Dell Technologies, Round Rock, Tx, and reminiscing on our collaboration 10+ years ago. Where are you now team Dell and RainStor? Attila Finta Steve Hand Steve Linares Deirdre Mahon Andy Ben-Dyke Mark Cusack John Bantleman Kevin Crook Jonathan Teague Bernard Francis Kyle Terry LoBianco, Jyothi Swaroop, Anthony Brooks-Williams JoAnne McDougald Irmak Fite #bigdata #hadoop #teradata
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Ramon Chen shared thisIt’s amazing to look back at how data management and apps have supported and evolved with the Life Sciences industry. From early #MDM… with Siperian to Informatica To cloud #CRM… with Salesforce, Veeva Systems, IQVIA To cloud #MDM… with Reltio To unified data providers … And now to #AI and #agents. Every wave promised transformation and each one actually built on the last. Today, we’re not just seeing another shift. We’re seeing the modernization and convergence of data, AI and apps platforms that serve life sciences. And it’s forcing a the question “Do you trust the data that your AI is making decisions on?” Which is why I believe the next phase of innovation in life sciences is not about just modernization and convergence… It’s about connecting them with trust. That’s the lens I used to write this article. From my vantage point, having seen these changes working at, and partnering with, all the aforementioned companies, and now as CPO at Acceldata. If you’re in #Pharma, #LifeSciences, or #Healthcare, have you seen things evolve the way you expected? What’s next? I’d love your perspective. Full article below 👇The Modernization and Convergence of Data and AI in Life SciencesThe Modernization and Convergence of Data and AI in Life Sciences
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Ramon Chen shared thisAs a dad to 15 yr old identical twin boys, I think about this twice daily 😀 I’m comforted by the wise words delivered by Cassie Kozyrkov at Acceldata #autonomous25 “Major in Curiosity and Clarity” 💡Ramon Chen shared thisParents: In the age of AI, sending our kids to traditional public schools is setting them up to fail. The system is stuck in the past, forcing rote memorization of facts, dates, formulas, and subjects just to fill transcripts and pass tests. But AI can now recall or compute all of that instantly. As educator Brett Pike nails it in this eye-opening video: the old model was already broken and has ZERO ability to keep up with a rapidly changing world. What our kids actually need instead: ✅ The PROCESS of learning ✅ Critical thinking ✅ Problem-solving ✅ Adaptability & resilience ✅ Lifelong curiosity and real-world application These are the human skills AI can’t replace, the ones that will matter most as jobs shift and routine tasks disappear. The solution? Shift away from rigid classrooms. Embrace models like classical education, project-based learning, or unschooling that build independence, creativity, and the ability to think (and collaborate with AI) rather than just regurgitate. The public system won’t transform fast enough. It’s on us as parents to prepare our children for tomorrow, not yesterday.
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Ramon Chen shared thisGreat continuing success story. Thank you Ambiq and EDBI Pte Ltd for sharing. So inspiring to see companies investing in #singapore 👏 Singapore Economic Development Board (EDB)Ramon Chen shared this⚡ From breakthrough research to #IPO In our latest Portfolio Spotlight, we feature Ambiq, a US-headquartered #semiconductor company built on ultra-low-power innovation. Today, its technology powers over 280 million devices worldwide. As #AI shifts to the edge, power efficiency becomes decisive. Ambiq's ultra-low-power platform enables on-device intelligence without compromising battery life — making it a key enabler for #edgeAI applications. Since investing in Ambiq's Series E in 2018, EDBI has supported the company's growth in Singapore, which has become its regional hub for R&D and engineering. That presence has grown steadily, from launching its Centre of Excellence in 2020 and expanding its Technology Design Centre, to opening a new Singapore office in February 2026, housing growing teams across research, engineering, design, product, and business development. 🎥 In the video, CEO Fumihide Esaka reflects on why Singapore has been central to Ambiq’s growth, highlighting its talent ecosystem, collaborative environment, and IP protections. 🔗 Watch the video and read the full story: https://lnkd.in/g4UMQxsf This feature is part of our Portfolio Spotlight series, highlighting EDBI portfolio companies and their growth journeys from Singapore. Charlene Wan | Ling Kai Terence Teo, CFA SG Growth Capital | Heng-Tong CHOO | Paul Ng, CFA | Sin-Cheng Siah | Serene Keng | Amanda Kwek | Singapore Economic Development Board (EDB)
Ramon Chen replied to a comment
8h
John Pinson thx for the note. He was a great leader and an even better husband and father 🙏
Ramon Chen replied to a comment
12h
🙏 Wout Vandegaer thank you, and Scott Holcomb for your support throughout. Deloitte is the gold standard for implementing Reltio across G2000 enterprises. Your team with Nalini Garg is outstanding, and I look forward to partnering with you, Prakul Sharma and others at Deloitte as Acceldata and Reltio's integration and partnership continues to heat up.
Ramon Chen replied to a comment
12h
Ganga Kumar thanks. So sorry to keep moving/canceling our 1:1. So busy! 😀
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Ramon Chen liked thisThis is a major shift in the cybersecurity landscape. Databricks just officially entered the security market with the launch of Lakewatch, an open, agentic SIEM (Security Information and Event Management). Here is why this is a game-changer for the industry: 1. Fighting "AI with AI" 🤖 Attackers are now using autonomous agents to scan and exploit vulnerabilities at machine speed. Traditional, manual SIEMs can't keep up. Lakewatch uses AI agents (powered by a deep partnership with Anthropic) to automate triage, hunting, and response, effectively meeting "machine-speed attackers with machine-speed defense." 2. The End of "Data Silos" 📉 Security teams often discard up to 75% of their data because of high ingestion costs. Because Lakewatch is built on an Open Security Lakehouse, organizations can store petabytes of multi-modal data (including video and audio for social engineering detection) in open formats. This provides 100% visibility at a significantly lower TCO. 3. Open Ecosystem vs. Vendor Lock-in 🔓 Unlike legacy black-box security tools, Databricks is leaning into an open ecosystem. They’ve launched with a massive roster of partners like Okta, Palo Alto Networks, Wiz, and Zscaler. By using "Detection-as-Code," teams can manage their defense with the same rigor as their software engineering. 4. Strategic Acquisitions 🚀 To bolster this move, Databricks also announced the acquisition of: - Antimatter: Experts in secure auth for AI agents. - SiftD.ai: Founded by the creator of Splunk’s Search Processing Language (SPL). The Bottom Line: Security is no longer a separate silo—it's a data problem. By bringing security intelligence to where the data already lives, Databricks is making a play to become the central operating system for the modern, secure enterprise. https://lnkd.in/ghSy2Re3 #Databricks #Cybersecurity #AI #GenerativeAI #SIEM #DataLakehouse #InfoSec #TechNewsDatabricks Enters Security Market with Launch of Lakewatch: New Open, Agentic SIEMDatabricks Enters Security Market with Launch of Lakewatch: New Open, Agentic SIEM
Experience & Education
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Acceldata
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Publications
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Data-driven innovations in 2016 and what to expect in 2017
PM360
See publicationWhile life sciences companies continued to make inroads towards patient-centered thinking, the main pursuit of a complete, 360-degree view of customers typically classified as healthcare professionals (HCPs), still dominated the investments and thinking of the majority of organizations. To that end, great strides were made by taking a significant step up in data management capabilities. Life sciences companies from startups all the way to F500 giants have shunned and started to shed the anchor…
While life sciences companies continued to make inroads towards patient-centered thinking, the main pursuit of a complete, 360-degree view of customers typically classified as healthcare professionals (HCPs), still dominated the investments and thinking of the majority of organizations. To that end, great strides were made by taking a significant step up in data management capabilities. Life sciences companies from startups all the way to F500 giants have shunned and started to shed the anchor of heavyweight, on-premise software that used to cost IT teams millions of dollars in implementation resources.
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5 Predictions for Analytics Data Management and AI
Information Management
See publicationReltio' CMO list the Top 5 Predictions for Analytics, Data Management and AI for 2017
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Here's What B2B Marketers Really Want for Christmas
CMSWire
See publicationAh, the joys of Christmas mornings. Waking up, seeing the presents under the tree.
It got us thinking. Do B2B marketers have Christmas wish lists? What do they fantasize finding under the metaphorical tree? -
Big Data Industry Predictions for 2017
InsideBigData
See publicationProviding a pulse on important new trends leading into next year, insideBIGDATA reached out to a variety of vendors to get their insights, reflections and predictions for what may be coming. Reltio contributed insights in 3 areas related to AI, Big Data and Security.
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When It Comes to Retention, Your Employees Are Worth the Risk
Fox Business
See publicationOffering flexible work schedules requires a bit of trust, but it is worth it. Time is important – perhaps more so today than ever before," he says. "We trust employees to work during the hours that suit them and remove the requirement to commute everyday – an alluring perk in the San Francisco Bay Area.
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Key Practices for Gaining the Most Value from Your Data During the Holiday Shopping Season
CommPro
See publicationWith consumers using more and more varied shopping channels, and the expectation of hyper-personalization and engagement growing, retailers often struggle to deliver the right messages to the right consumers at the right time. Data can go a long way here, but only when it’s first managed, organized and presented in a way that allows everyday business users, such as those in sales and marketing, to use it in their everyday efforts to reach customers.
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The Modern Face of Master Data
Dataconomy
See publicationMoving forward, MDM can offer tremendous benefits as a component of a modern data management platform, fully integrated with data-driven applications and delivering fast time-to-value across the enterprise. But without a high level of modernization that adapts freely from consumer equivalents, it’s headed toward legacy status.
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Are you Taking Control of Your Data or is it Controlling You
Dataconomy
See publicationIt’s 2016 – why haven’t the problems surrounding data been solved? Certainly there are better tools, more experience, and better insight into the problem than 10-15 years ago. Why is data still such a big problem for the vast majority of companies?
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Creating a Compliant Culture
Pharma Compliance Monitor
See publicationRather than viewing compliance as a necessary evil, life sciences organizations have a transformational opportunity as part of a shift towards a data-driven culture. Being able to put in place technology that improves the operational efficiencies of individuals includes freeing them of compliance burdens. This 2-for-1 is a significant competitive advantage that cannot be overlooked by any organization looking to achieve commercial and R&D excellence.
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Personalize Relevant Insights through Reliable Big Data
CIO Review
See publicationData volumes show no sign of abating. Although storage and processing is now affordable by companies of all sizes, turning data into actionable information is an increasing challenge. This article describes how you can get a comprehensive, reliable, 360-degree view of people, products, organizations, places and their interactions, to be used for personalized insights and actions.
Honors & Awards
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Who’s Who in Data Management?
https://onalytica.com/wp-content/uploads/2021/01/Whos-Who-In-Data-Management.pdf
Thank you to Onalytica for recognizing me in Who’s Who in Data Management? Influential Voices & Brands https://onalytica.com/wp-content/uploads/2021/01/Whos-Who-In-Data-Management.pdf
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Transformational Leader PM360 ELITE 100 2017
PM360
Reltio, the enterprise data-driven applications and modern data management Platform as a Service (PaaS) company, today announced that PM360, the premier information resource for marketing decision makers in the pharmaceutical and medical device sectors, named its CMO, Ramon Chen as one of their 2017 PM360 ELITE 100. PM360 ELITE (Exceptional • Leaders • Innovators • Transformers • Entrepreneurs) represent the most influential people in the healthcare industry today.
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Top 500 most Influential Blogs about Data
https://ecairn.com/2011/02/10/case-study-with-data-blogs-from-300-to-1000-3/
Analysis by https://ecairn.com/2011/02/10/case-study-with-data-blogs/ ranked my personal blog in the top 500 blogs about data worldwide
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