20 data industry experts you need to follow on Twitter
By Carly Yuk
Whether it’s through social media, blogging, speaking at international big data and analytics events, members of the data community have helped shape how we understand the impact of big data, machine learning, artificial intelligence, and IoT.
Using Buzzsumo, we’ve searched the Twittersphere for some of the leading professionals in the data community. These people were identified based on a number of factors, including tweeted topics, followers, and their contribution to the big data and data science community based on their past and current projects.
Bookmark their blogs, follow them on Twitter, and help spread the word about these dedicated experts!
Our recommended industry experts who specialise in Big Data, Data Science, Analytics, Machine Learning, and Artifical Intelligence
As an executive data science and AI advisor, Monica has worked with dozens of companies to leverage their data and AI needs.
Monica was a member of the LinkedIn data science team, where she developed and improved some of LinkedIn’s key data products including matching jobs to passive candidates, discovering people you may know, and recommending groups you may like.
Kirk takes great pleasure in finding solutions through data. As a lover of data, the well-renowned data scientist enjoys finding new discoveries, developing a hypothesis to explain it, and then putting those theories to the test.
When he is not speaking at international big data and analytics conferences or consulting on big data projects, Kirk spends his time tweeting about developments in the big data and data science industry as well as his passion for Space.
With more than 25 years of experience as an enterprise architect and program manager, April knows data very well. She spent more than a decade in the financial services industry where she managed implementations of very large application systems.
April spends time attending big data conferences and shares her experiences with her followers on Twitter, April is also the author of ‘managing data in motion’.
As the president of KDNuggets.com, Gregory hosts one of the most profound and leading analytic and data mining consulting firms. Gregory is also the founder of the Knowledge Discovery and Data Mining conferences.
Gregory shares all his many years of knowledge and experience on many topics including big data, analytics, and machine learning on Twitter to all his followers.
Cade Metz is a reporter for NY Times, covering relevant and interesting topics including artificial intelligence, driverless cars, robotics, and virtual reality.
Cade shares his interests with his followers, giving them insights on the latest advancements in technology, and how they are impacting society.
David is the editor-in-chief for Revolutions Analytics blog, which is a community of authors sharing news and insight on using open source R for big data analysis, predictive modeling, data science, and visualization.
As well, David is the R Community Lead at Microsoft, where he has the ability to nurture user communities to understand what the market requires and demonstrate the impact of business pains to development teams.
Randy is a Senior Data Scientist working at the University of Pennsylvania Institute for Biomedical Informatics, developing advanced and state-of-the-art machine learning algorithms to solve biomedical problems.
When he’s not blogging about his latest work, he is training the next generation of data scientists to be more efficient, effective, and collaborative in their work through online tutorials, video tutorials, teaching hands-on workshops, and mentoring local students.
Hilary is a Data Scientist in Residence at Accel Partners, a co-founder/organiser of DataGotham, a conference celebrating the whole data community, co-founder of hackNY a non-profit organisation that mentors and federates the next generation of engineering talent for New York’s creative technology community.
Additionally, Hilary is the founder of Fast Forward Labs, a research company that will help you identify and develop new products and business opportunities via emerging technologies.
Jen is the founder of Impact Analytix, LLC, and is a recognised analytics industry expert. Her working experience and knowledge include an exclusive blend of product management, design, and more than two decades of ‘hands-on’ experience with data warehouse development, reporting, visualisation, and advanced analytics solutions.
As well as obtaining a postgraduate certificate in Computer Science – Data Mining from the University of California, Jen offers industry thought leadership, advisory, strategy, and market research.
Renee is a Data Scientist and is the creator and host of ‘Becoming a Data Scientist’. Her love of data has led to personal projects of finding and sharing data science articles in a Flipboard magazine, and bookmarking tutorials in a Flipboard magazine.
She is also building a Data Science Learning Directory, with plans to develop it more at DataSciGuide.com.
As the owner of Analytical Solution, Carla’s business will help you identify what your data is made up of, who your target audience is, and who will buy your product.
With more than 20 years working in the data analytical field, Carla works as a data scientist at Talent Analytics to help spread the word of predictive and workforce analytics for pre-hire employment and retention.
Sam is passionate about cloud computing and big data and categorises himself as an industry advocate and insider for both of these technologies.
As well as speaking at numerous international conferences, Sam brings a unique combination of strategic insight, marketing knowledge, and technology depth in what he does. When working with clients, he has the ability to figure out what needs to be done, and how to execute it.
Christian develops big data strategies, architectures, best practices, and products for clients from diverse industries including finance, manufacturing, media, retail, and government.
When he is not developing, he writes and speaks about big data with his academic background in technology, data science, management, and business.
Frank is the leader of the Data and Analytics practice at Wintellect, where he helps customers leverage data science in order to create beneficial solutions and satisfied customers.
With extensive experience as a software engineer, Frank uses his experience to share insight through blogging at FranksWorld.com, as well as hosting a podcast devoted to all things data science called ‘Data Driven’ (DataDriven.tv).
Ben Lorica works as O’Reilly Media’s Chief Data Scientist, meaning he is the real deal when it comes to big data. He has been talking about big data long before people started to realise what exactly big data meant, and the impact big data would have.
Follow and listen to his data journey as he hosts the O’Reilly Data Show podcast, Ben is the Program Director of both the Strata Data Conference and the O’Reilly Artificial Intelligence Conference, which he regularly tweets about.
Colette compiles and curates content that helps others tell their own stories. Her dedicated project blog ‘what’s the big data idea’ is regularly updated to discuss opportunities and challenges in the big data world.
As well as a dedicated 25+ years in the US Navy, Colette also enjoys writing about emerging technology and data concepts. Colette also consults on a number of content projects in any medium, including blogs, articles, whitepapers, survey reports, training course scripts, and leadership briefs.
Jeremy is an evangelist at IBM, a published author, and a speaker on the road talking about AI, Big Data and the future of marketing.
When he’s not writing or speaking at conferences, Jeremy regularly tweets about updates in the technology industry and his past and current working experiences with his 100k followers.
Bernard is considered one of the world’s most highly respected thought leaders when it comes to business performance, digital transformation, and the intelligent use of data in business.
As a published author, Bernard has written 15 books with many translated into over 15 languages, and hundreds of high-profile reports and articles, including the international bestsellers ‘Data Strategy’, ‘Big Data in Practice’, and ‘Big Data’.
Lillian is a notable influencer in the data community and currently works as a trainer/coach with aspiring t data science professionals.
Expanding on her existing quantitative engineering skills, Lilian taught herself additional coding and statistics that were required for data science.
Now working remotely and independently, Lillian shares her experiences and expertise via her consulting services, and through training future data science professionals.
As well as being a columnist at Forbes.com, Gil leverages his influence to demystify many of big data’s biggest ideas.
His experience and knowledge first led to the big data conversation and he was named #1 data influencer.
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We hope you take the time to check out our list of recommended big data/data science bloggers and experts and help support their journey in continuing to advance the data community.
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Who else do you think should be included in this list? Leave us a comment below to let us know!