2018 Best of Expert Interviews – Experts in the World of Data
We finish out the Best of 2018 series with a round up of our best Expert Interviews from this year. Take a look at the top 10 posts!
Splunk’s Chief Technology Advocate, Andi Mann and Syncsort’s Chief Product Officer, David Hodgson discuss the digital transformation taking place in IT and how machine learning and AI are helping IT leaders create a more business-centric view of their world.
Gregory Piatetsky-Shapiro of KDnuggets (@KDnuggets) discusses the how today’s advances in deep learning are cause for excitement and concern and notes some artificial intelligence concerns as it continues to advance.
- Part 1: Exciting and Worrisome Advances in Artificial Intelligence
- Part 2: Self-Driving Artificial Intelligence and How Business Should Approach It
Nicola Askham, The Data Governance Coach, speaks about the advantage of data governance as an overall strategy, rather than tactically addressing each new government regulation requirement and also what goes into planning and starting a data governance initiative
Dr. Sourav Dey, Managing Director at Manifold, speaks to Paige Roberts on applying machine learning and data science to real world problems. They also discussed augmented intelligence, the power of machine learning and human experts working together, and the importance of data quality and entity resolution in machine learning applications.
- Part 1: Applying Machine Learning to the Real World
- Part 2: Augmented Intelligence and Model Explainability
- Part 3: Data Quality and Entity Resolution
In this four-part expert interview, Katharine Jarmul, founder of KJamistan data science consultancy, and author of Data Wrangling with Python from O’Reilly, speaks about the importance of being able to explain your machine learning models. She also discussed the challenges of creating an inclusive company culture and how bias doesn’t only exist in machine learning data sets.
- Part 1: GDPR and the Need for Explainability in Machine Learning Models
- Part 2: Ethical Drivers for Data Set Introspection Beyond GDPR Compliance
- Part 3: Women in Tech and the Impact of Biased Data in Both Human & Machine Learning Models
- Part 4: Anonymization and Introducing Randomness to Test Data Sets
Wikibon’s Lead Analyst, Jim Kobielus, sat down for a talk on Blockchain in this three-part interview. He discussed the basics of what the Blockchain is, the real value of the technology and some of the practical use cases that are its sweet spots, and the future of Blockchain.
- Part 1: Separating Blockchain Hype from Reality
- Part 2: Blockchain’s Sweet Spot in Practical Business Use Cases
- Part 3: The Future of Blockchain, AI, Machine Learning, and GDPR
#4 Tony Baer
Tony Baer, Principal Analyst at Ovum, recently spoke to us about trends in Big Data, the future of Hadoop, and GDPR. He goes into trends in Hadoop and Cloud data as well as what’s next for Hadoop and cloud and whether we’re prepared for GDPR.
#3 Tobi Bosede
At the Strata Data Conference in New York City, Paige Roberts had a chance to sit down with Tobi Bosede, a Sr Machine Learning Engineer. In this three-part post they spoke about what goes into being a Machine Learning Engineer, predicting trade volumes and the correlation between volume and volatility, and Bosede’s perspective of being a “double minority” in the tech world.
- Part 1: What It Takes to Be a Machine Learning Engineer
- Part 2: Using Machine Learning to Predict Trading Volumes
- Part 3: Being a Double Minority in a High Tech Field
#2 Mike Olson
At the Cloudera Sessions event in Munich, Germany, we had a chance to sit down with Mike Olson, Chief Strategy Officer of Cloudera. Olson dove into what’s new at Cloudera, how machine learning is evolving, and the adoption of the Cloud in organizations. Also discussed was Gartner’s latest hype cycle and Olson’s views on women in tech and the difference between Cloudera Altus and Director.
- Part 1: Cloudera, Machine Learning, and the Adoption of the Cloud
- Part 2: The Gartner Hype Cycle
- Part 3: Diversity in Tech, Cloudera Altus and Director
To finish the list off we have Joey Echeverria, an architect at Splunk, and author of the O’Reilly book, Hadoop Security. In this three-part series Echeverria discussed some common Hadoop security methods, different methods of fine-grained security when dealing with Hadoop, the latest developments with Splunk, and the differences between Apache Spark and Flink.
- Part 1: Common Hadoop Security Methods
- Part 2: Alternate Methods of Hadoop Security
- Part 3: The Latest With Splunk, Spark, and Flink
Make sure to download our eBook, “The New Rules for Your Data Landscape“, and take a look at the rules that are transforming the relationship between business and IT.