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Truly honored and humbled by the recognition for being the 7⃣th most influential person in #data on the 2024 #DataIQ100 USA. Thank you, team @TheDataIQ and the @UOPX for all the support 🙏
Click the link below to follow me on LinkedIn
linkedin.com/in/avinashtrip…
This journey reflects almost 20 years of analytics practice for me, from the days when analytics wasn't even a function to the day it had a seat in the boardroom. It's also an honor and sheer privilege to be on the top 10 alongside the world's top brands' terrific data leaders, experts, and thought leaders who are shaping the data economy and culture.
I was joined by leaders from renowned global brands like @McDonalds @CocaCola @Verizon @Chevron @NissanUSA @MarsGlobal @allyfinancial.
Additional attendees include representatives from @TMobile @Walgreens @BestBuy @UnderArmour @Bayer @RoyalCaribbean @USFoods @sanofi @scotiabank @LEGO_Group @NBCUniversal @Walmart @Zurich United States Air Force, U.S. Immigration and Customs Enforcement (ICE), Office of the Director of National Intelligence and many more.
I was honored to be one of the keynotes at one of the most prestigious data events. Highlighted how effective data storytelling can significantly impact a business and addressed the challenges of interpreting data and data stories at the leadership level.
The substantial investments in AI startups and the global data analytics market are indicative of what's to come. These substantial investments are driving an upsurge in job opportunities within the data field, and data-related roles are set to evolve.
The outlook appears incredibly promising for careers in data analytics and data science, spurred by the escalating volume of data and the critical necessity to derive insights from it. As the leaders of the data function, the biggest challenge is to navigate new opportunities through data and drive substantial value to any organization.
Leading US data professionals revealed at the DataIQ 100:
dataiq.global/articles/leadi…
#Analytics #UOPX #DataScience #dataengineering #ArtificialIntelligence #machinelearning #ai #ml #resposibleai




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