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Debasmita Ghosh
Debasmita Ghosh

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Who Are The Top 10 Data Influencers Of 2024?

Data is expanding quickly and altering the dynamics of the modern tech landscape. From AI to data analytics, new fields and plans of action are paving out. Keeping the mesh in mind, consulting professionals is a sensible plan of action. Social media has made it possible for many data influencers to share their opinions on how to use their data wisely these days. Keeping up with these data influencers will help your organization stay ahead of the curve in developing technology, creative strategies, and market trends. These professionals provide insightful advice that promotes well-informed decision-making, improves data utilization, and propels company expansion.

To guide you through this data-driven journey, we've compiled a list of the Top 10 Data Influencers who are set to make waves in 2024. Let's delve into the world of these visionaries, each contributing significantly to the data realm.

Data Dynamics in 2024: An Overview

The year 2024 promises groundbreaking advancements in data science and analytics. As we stand on the cusp of this transformative era, it's crucial to grasp the evolving dynamics of the data landscape. Anticipated trends include the widespread adoption of advanced machine learning techniques, the integration of artificial intelligence into daily operations, and a deeper focus on data ethics and privacy.
The challenges are equally compelling, ranging from the ethical considerations of AI deployment to the management of ever-expanding datasets. The push towards explainable AI and the increasing importance of data security is indicative of a maturing industry that seeks not only innovation but also responsibility.

The Top 10 Data Influencers You Should Follow

Barr Moses- The CEO and co-founder of Monte Carlo, a data-dependability startup that developed the first Data Observability platform in the market, is Barr Moses. She is a prominent voice in the data domain, promoting data reliability and quality as co-author of Data Quality Fundamentals. Having created the phrase "data downtime," which describes times when your data is erroneous, incomplete, missing, or inaccurate,
Barr thinks that to remove firefighting from the equation, we should approach our data outage the same as our app outage. Data, after all, is our new software.

Andrew NG- A global leader in AI (Artificial Intelligence), Dr. Andrew Ng is well-known for his in-depth knowledge of the data-driven environment. As the creator of DeepLearning.AI, General Partner of AI Fund, CEO of Landing AI, and Co-Founder of Coursera, he plays important responsibilities. In addition, he was once in charge of Baidu AI.
Andrew led the establishment of Stanford University's first Massive Open Online Courses (MOOC) in 2011, and he is currently an adjunct professor there. Andrew Ng is motivated by his goal of democratizing education worldwide and wants to remove financial obstacles from access to high-quality education for everybody. With partnerships with renowned colleges, Coursera is currently one of the most respected MOOC systems, providing excellent online education.
He was included in the Time 100 list of the world's most important people in 2013. Active on social media, he has 1,364,093 LinkedIn followers and 919.6 K on X. He frequently shares his opinions on matters linked to statistics.

Ben Rogojan- Ben Rogojan has a broad history spanning several industries and has had data engineering positions at well-known corporations like Facebook. With this depth of knowledge, he helped companies improve, update, and move their data infrastructure. Ben's experience includes improving an organization's overall data performance as well as moving businesses away from antiquated ETL technologies.
Ben has mostly concentrated on developing algorithms for detecting fraud, reducing the number of readmissions of patients, and reorganizing insurance provider contracts to reduce the cost of healthcare. In addition, he contributed to the creation of analytics for IT and marketing. Optimizing finite resources, such as the budget, was the aim.
Ben works with Acheron Analytics independently, providing private consultations on data science and engineering problems. Having amassed 114,942 LinkedIn followers, he regularly offers his opinions about data-related peripheries.

Deepak Goyal- With over 13 years of experience in the IT sector, Deepak is a certified big data and Azure Cloud Solution Architect. He was one of the first people working on Hadoop Big Data Analytics, having ten years of experience with big data.
Currently, he works with businesses to define data-driven architecture and build reliable cloud-based data systems, with a focus on Microsoft Azure. He is the leader of azurelib.com, a well-regarded Azure blog.
Deepak helps people understand complicated cloud technology and concepts. These comprise a plethora of technologies such as Azure Blob Storage, Azure Key Vault, Snowflake, Encryption Decryption, Apache Spark, Azure Synapse Analytics, and Azure Data Factory. Deepak shares insightful information on data-related topics on social media, where he is an active user. Deepak has more than 6,000 followers on Twitter and 156,699 followers on LinkedIn.

Vincent Granville- One of the leading authorities on data science and machine learning is Vincent Granville, the author and publisher of MLtechniques.com. Throughout his career, he has worked for over 20 years for organizations including CNET, Microsoft, eBay, Wells Fargo, etc. In 2020, TechTarget purchased Data Science Central, a platform he co-founded, as well.
Before this, Vincent worked as a post-doctoral researcher at the National Institute of Sciences (NISS) and Cambridge University. His publications in prestigious journals demonstrate his knowledge. Among his well-known works are the IEEE Transactions on Pattern Analysis and Machine Intelligence, the Journal of Number Theory, and the Journal of the Royal Statistical Society.
He lives in Washington state and is an avid researcher in probabilistic number theory, dynamic systems, experimental mathematics, and stochastic processes. He is quite active on social media, having amassed over 76,957 LinkedIn followers.

Bernard Marr- Bernard Marr is renowned throughout the world for his proficiency in accelerating corporate performance, embracing digital transformation, and making astute use of data. His influence may be seen at well-known companies such as Accenture, Microsoft, Walmart, and NATO, where he has offered advice on business strategy and innovation. In addition to these, Bernard provided advice to numerous more businesses, including Amazon, Google, IBM, Qlik, Nokia, and Dell.
Among the fifteen books that Bernard is the author of are best-sellers including "Data Strategy," "Big Data in Practice," and "The Intelligent Company." Bernard Marr's literary works attained exceptional prosperity, being translated into over 20 languages and receiving esteemed awards. They have won prizes like the Axiom Book Award and the CMI Management Book of the Year, and they have been Amazon's No. 1 bestsellers.
Renowned keynote speaker Bernard has a large following on social media, with 1,472,424 followers on LinkedIn and 138.6K followers on X.

Allie K. Miller- Leading AI firms worldwide are supported by Allie Miller, the US Head of AI Business Development for Startups and Venture Capital at Amazon (AWS). Allie was once employed by IBM, where she oversaw the vast advancements in computer vision, conversation, data, and regulation, making her the youngest woman to ever launch an AI product.
Selected by Forbes and the AI Summit as 2019's "AI Innovator of the Year," Allie is a LinkedIn Top Voice for Technology. She is listed among the Top 50 Women in Tech by Award Magazine.
Additionally, Allie was highlighted in three lists: Neptune's Top 20 AI influencers, MKAI's Top 20 AI Mavericks, and ReadWrite's Top 20 AI Speakers. She also started the AI Pipeline to promote diversity in machine learning. Allie has 1,361,535 LinkedIn followers and 45.8K Twitter followers.

Bruno Aziza- Bruno is a well-known influencer in the field of big data analytics. The digital entrepreneur and author has a track record of growing companies and transforming them into international leaders. She is a leadership enabler of clever execution. He has been leading and managing teams for the last ten years, delivering over ten products at prestigious businesses such as Microsoft, Oracle, and most recently Google, where he served as head of data and analytics at Google Cloud.
Bruno has a YouTube channel where you can catch up on the biggest topics in AI, Data, and Analytics once a week. You can also follow him on Twitter and Medium to stay up to date on breaking news and trends.

Chris Tabb- Chris writes frequently about data technology at Apress and O'Reilly. The seasoned professional has worked in the field of business intelligence and data analytics for more than 30 years. Chris is the chief commercial officer and co-founder of LEIT, a data analytics consulting firm that provides companies with the tools they need to maximize their use of data for business.
The extremely clever influencer frequently addresses the C-suite and people in charge of demanding ROI from data initiatives in her tweets and #meandatastreets postings, which are all focused on generating business value. As a passionate speaker and meetup organizer, you can follow his activities on Twitter.

Eric Kavanagh- Renowned in the media, Eric is a trailblazer in the fields of data analytics, information economy, and open data advocacy. As CEO of The Bloor Group, he played a key role in developing a clear, modern media approach to conventional IT analysis. The Federal Funding Accountability and Transparency Act of 2006 was also influenced by the former UN open data advocate and SXSW advisor.
You can learn more about the information economy and data insights by following him on Twitter.

Navigate the Data Landscape Beyond 2024

Remember, the year 2024 is not just a point in time; it's a juncture where data becomes not just a resource but a transformative force. Let the narratives of these data influencers inspire and guide you, as you embark on your expedition into the data dynamo of tomorrow. The journey may be intricate, but with the right insights and perspectives, you have the tools to navigate and thrive in the ever-evolving world of data.

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