Blogs

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Jennifer Clemente
Creative and Editorial Lead, Data and AI, IBM

Jennifer Clemente who has been writing and involved in all things technology since she could ask Santa for a 2XL robot. From Balkan war correspondent to self-described tech-nomad waving the open source flag, her career has veered from edge of the world political battles into the thick of the AI journey, keeping her thoughts critical and an ear firmly to the ground. She currently helps client’s share their successes with IBM Data and AI.

How Data Science Experience improves accuracy for the insurance industry

How Data Science Experience improves accuracy for the insurance industry

June 26, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz. In this scenario common to the insurance industry, an organization needs to adjust its operations based on upcoming weather event and...
Learn to deliver fast ROI with data science

Learn to deliver fast ROI with data science

Three key features of IBM Data Science Experience explained

June 25, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
IBM Data Science Experience was designed to kick-start and rapidly scale data science projects, fitting any deployment needs in a multicloud environment.
Machine learning everywhere: IBM banks on trust and open standards to fuel adoption

Machine learning everywhere: IBM banks on trust and open standards

May 21, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
Hear from IBM's Dinesh Nirmal on his thoughts on AI and the potential for widespread adoption as IBM puts its weight behind enterprise data science
Thoughts on AI: How bias can shape data insights – and how to conquer it

Thoughts on AI: Can we spot and overcome human bias in AI?

April 11, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
Welcome to Thoughts on AI, a new blog series focused on issues and advances in artificial intelligence. We’ll cover the technologies and people shaping the future AI. First up: avoiding bias built into intelligence and analytics.
Immersive Insights: Better data through AR

Immersive Insights: Better data through AR

Q&A with Ben Resnick

March 14, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
Augmented reality (AR) and augmented intelligence systems such as Watson are breaking data outside the confines of a two-dimensional monitor and putting them into a three-dimensional visualization format. Big Data and Analytics Hub spoke with IBM AR designer Ben Resnick about what’s next for...
Want to succeed as a CDO? 6 articles to read this week

Want to succeed as a CDO? 6 articles to read this week

March 5, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
Learn more about the right way to approach your data governance governance strategy in 2018 by checking out our top performing articles.
Check your machine learning IQ

Check your machine learning IQ

February 7, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
As the expression goes, "There’s no AI without IA." In other words, enthusiasm for AI has led many to jump in head first. But without a strong technology foundation, companies could be setting themselves up for obstacles.
Hybrid use cases to dominate machine learning in 2018, part 2

Hybrid use cases to dominate machine learning in 2018, part 2

January 25, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of tuning information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.
Hybrid use cases to dominate machine learning in 2018, part 1

Hybrid use cases to dominate machine learning in 2018, part 1

January 16, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of focusing on information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.
5 blog posts to keep your data on track in 2018

5 blog posts to keep your data on track in 2018

These five blogs will help keep your data on track

December 28, 2017 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
There are many right ways companies are using data: to know their customers better and to keep up with their needs and expectations to drive loyalty without sacrificing privacy. Here are some recommended reads that will help you learn how to stay on your customers’ good side while still gaining the...